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job-postings/02-03-2025/1.txt

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+As a Capital One Machine Learning Engineer, you'll be providing technical leadership to engineering teams dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll serve as a technical domain expert in machine learning, guiding machine learning architectural design decisions, developing and reviewing model and application code, and ensuring high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. You’ll also mentor other engineers and further develop your technical knowledge and skills to keep Capital One at the cutting edge of technology.
+
+About the team: 
+
+As part of FS AI labs you will be working on AI initiatives within Financial Services with a focus on Applied AI and Machine Learning (AI/ML), Generative AI, Natural Language Processing (NLP), and Responsible AI. The primary objective of FS AI Labs is to drive the research and delivery of innovative AI and ML use cases that leverage these cutting-edge technologies. You will work on exploring new frontiers, build prototypes, and deliver transformative AI use cases that drive Capital One Financial Services business growth and enhance customer experience.
+
+What you’ll do in the role:
+
+Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams 
+Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems 
+Lead large-scale ML initiatives with the customer in mind 
+Leverage cloud-based architectures and technologies to deliver optimized ML models at scale 
+Optimize data pipelines to feed ML models 
+Use programming languages like Python, Scala, C/C++ 
+Leverage compute technologies such as Dask and RAPIDS 
+Evangelize best practices in all aspects of the engineering and modeling lifecycles 
+Help recruit, nurture, and retain top engineering talent 
+
+Basic Qualifications:
+
+Bachelor’s degree 
+At least 10 years of experience designing and building data-intensive solutions using distributed computing 
+At least 6 years of experience programming in C, C++, Python, or Scala 
+At least 3 years of experience with the full ML development lifecycle using modern technology in a business critical setting 
+
+Preferred Qualifications:
+
+Master’s degree 
+3+ years of experience designing, implementing, and scaling production-ready data pipelines that feed ML models 
+2+ years of experience using Dask, RAPIDS, or in High Performance Computing 
+2+ years of experience with the PyData ecosystem (NumPy, Pandas, and Scikit-learn) 
+Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM fine-tuning, LLM Evaluation. 
+Experience developing AI and ML algorithms in Python or C/C++ 
+Experience with building LLM based chatbots in production including experience with developing multi turn and agentic workflows and LLM pre training. 
+Experience leveraging a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, 
+ML industry impact through conference presentations, papers, blog posts, or open source contributions. 
+Ability to attract and develop high-performing software engineers with an inspiring leadership style 
+
+Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
+
+The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
+
+McLean, VA: $263,900 - $301,200 for Distinguished Machine Learning Engineer
+
+Plano, TX: $239,900 - $273,800 for Distinguished Machine Learning Engineer
+
+Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
+
+This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
+
+Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
+
+This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
+
+If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
+
+For technical support or questions about Capital One's recruiting process, please send an email to [email protected]
+
+Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
+
+Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

job-postings/02-03-2025/10.txt

@@ -0,0 +1,22 @@
+About
+
+Die DSV IT Service GmbH gehört zur DSV-Gruppe, dem spezialisierten Dienstleister für die Sparkassen-Finanzgruppe. Wir stellen gruppenweit IT-Leistungen und Services bereit und tragen damit wesentlich zur Unternehmensentwicklung und zum Erfolg der DSV-Gruppe bei. Durch Bündelung und Harmonisierung unterschiedlicher IT-Services, mit Beratung und Entwicklung gewährleisten wir nachhaltig Effizienz und Wirtschaftlichkeit. Gegenüber veränderten internen und externen Anforderungen agieren wir flexibel und anpassungsfähig. Wir bündeln internes Wissen aus der DSV-Gruppe mit ausgewiesener IT-Expertise entlang des gesamten Technologie-Lifecycles, um die Unternehmen der DSV-Gruppe erfolgreich zu machen.
+
+Nice-to-have skills
+
+PyTorch
+Python
+TensorFlow
+Python
+TensorFlow
+PyTorch
+Machine Learning
+Stuttgart, Baden-Württemberg, Germany
+
+Work experience
+
+Machine Learning
+
+Languages
+
+German

job-postings/02-03-2025/2.txt

@@ -0,0 +1,61 @@
+As a Capital One Machine Learning Engineer, you'll be providing technical leadership to engineering teams dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll serve as a technical domain expert in machine learning, guiding machine learning architectural design decisions, developing and reviewing model and application code, and ensuring high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. You’ll also mentor other engineers and further develop your technical knowledge and skills to keep Capital One at the cutting edge of technology.
+
+About the team: 
+
+As part of FS AI labs you will be working on AI initiatives within Financial Services with a focus on Applied AI and Machine Learning (AI/ML), Generative AI, Natural Language Processing (NLP), and Responsible AI. The primary objective of FS AI Labs is to drive the research and delivery of innovative AI and ML use cases that leverage these cutting-edge technologies. You will work on exploring new frontiers, build prototypes, and deliver transformative AI use cases that drive Capital One Financial Services business growth and enhance customer experience.
+
+What you’ll do in the role:
+
+Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams 
+Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems 
+Lead large-scale ML initiatives with the customer in mind 
+Leverage cloud-based architectures and technologies to deliver optimized ML models at scale 
+Optimize data pipelines to feed ML models 
+Use programming languages like Python, Scala, C/C++ 
+Leverage compute technologies such as Dask and RAPIDS 
+Evangelize best practices in all aspects of the engineering and modeling lifecycles 
+Help recruit, nurture, and retain top engineering talent 
+
+Basic Qualifications:
+
+Bachelor’s degree 
+At least 10 years of experience designing and building data-intensive solutions using distributed computing 
+At least 6 years of experience programming in C, C++, Python, or Scala 
+At least 3 years of experience with the full ML development lifecycle using modern technology in a business critical setting 
+
+Preferred Qualifications:
+
+Master’s degree 
+3+ years of experience designing, implementing, and scaling production-ready data pipelines that feed ML models 
+2+ years of experience using Dask, RAPIDS, or in High Performance Computing 
+2+ years of experience with the PyData ecosystem (NumPy, Pandas, and Scikit-learn) 
+Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM fine-tuning, LLM Evaluation. 
+Experience developing AI and ML algorithms in Python or C/C++ 
+Experience with building LLM based chatbots in production including experience with developing multi turn and agentic workflows and LLM pre training. 
+Experience leveraging a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, 
+ML industry impact through conference presentations, papers, blog posts, or open source contributions. 
+Ability to attract and develop high-performing software engineers with an inspiring leadership style 
+
+Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
+
+The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
+
+McLean, VA: $263,900 - $301,200 for Distinguished Machine Learning Engineer
+
+Plano, TX: $239,900 - $273,800 for Distinguished Machine Learning Engineer
+
+Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
+
+This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
+
+Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
+
+This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
+
+If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
+
+For technical support or questions about Capital One's recruiting process, please send an email to [email protected]
+
+Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
+
+Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

job-postings/02-03-2025/3.txt

@@ -0,0 +1,41 @@
+Voyager (94001), India, Bangalore, KarnatakaSenior Lead Machine Learning Engineer
+
+At Capital One India, we work in a fast paced and intellectually rigorous environment to solve fundamental business problems at scale. Using advanced analytics, data science and machine learning, we derive valuable insights about product and process design, consumer behavior, regulatory and credit risk, and more from large volumes of data, and use it to build cutting edge patentable products that drive the business forward.
+
+We’re looking for a Senior Lead Engineer to join the Machine Learning Experience (MLX) team! As a Capital One Senior Lead Engineer, you'll be part of a team focusing on observability and model governance automation for cutting edge generative AI use cases. You will work on building solutions to collect metadata, metrics and insights from the large scale Gen AI platform. And build intelligent and smart solutions to derive deep insights into platform's use-cases performance and compliance with industry standards.
+
+You will contribute to building a system to do this for Capital One models, accelerating the move from fully trained models to deployable model artifacts ready to be used to fuel business decisioning and build an observability platform to monitor the models and platform components.
+
+The MLX team is at the forefront of how Capital One builds and deploys well-managed ML models and features. We onboard and educate associates on the ML platforms and products that the whole company uses. We drive new innovation and research and we’re working to seamlessly infuse ML into the fabric of the company. The ML experience we're creating today is the foundation that enables each of our businesses to deliver next-generation ML-driven products and services for our customers.
+
+What You’ll Do:
+
+Architect and develop full stack solutions for monitoring, logging, and managing Generative AI , machine learning workflows and models. 
+Architect, build and deploy well-managed core APIs and SDKs for observability of LLMs and proprietary Foundation Models including training, pre-training, fine-tuning and prompting. 
+Work with model and platform teams to build systems that ingest large amounts of model and feature metadata and runtime metrics to build an observability platform and to make governance decisions to ensure ethical use, data integrity, and compliance with industry standards for Gen-AI. 
+Partner with product and design teams to develop and integrate advanced observability tools tailored to Gen-AI. 
+Leverage cloud-based architectures and technologies to deliver solutions for platform users providing deep insights into model performance, data flow, and system health. 
+Collaborate as part of a cross-functional Agile team, data scientists, ML engineers, and other stakeholders to understand requirements and translate them into scalable and maintainable solutions. 
+Use programming languages like Python, Scala, or Java
+Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployments of machine learning models and application code. 
+
+Basic Qualifications:
+
+Master's Degree in Computer Science or a related field
+12+ years of experience in software engineering and solution architecture
+At least 8+ years of experience designing and building data intensive solutions using distributed computing
+At least 8+ years of experience programming with Python, Go, or Java
+Proficiency in observability tools such as Prometheus, Grafana, ELK Stack, or similar, with a focus on adapting them for Gen AI systems. 
+Excellent knowledge in Open Telemetry and priority experience in building SDKs and APIs. 
+Excellent communication skills, capable of articulating complex technical concepts to diverse audiences and driving cross-functional initiatives. 
+Experience developing and deploying ML platform solutions in a public cloud such as AWS, Azure, or Google Cloud Platform. 
+
+No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
+
+If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [email protected] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
+
+For technical support or questions about Capital One's recruiting process, please send an email to [email protected]
+
+Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
+
+Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

job-postings/02-03-2025/4.txt

@@ -0,0 +1,32 @@
+Somos una empresa tecnológica que opera a nivel global. Si te apasiona la tecnología y crees en su capacidad para transformar el mundo, ARQUIMEA es tu sitio. ¡Únete!
+
+ARQUIMEA, we are a technology company operating globally and providing innovate solutions and products in highly demanding sectors.
+
+Our areas of activity are Aerospace, Defense & Security, Big Science, Biotechnology and Fintech.
+
+ARQUIMEA Research Center (ARC), part of ARQUIMEA , was born in 2019 with the aim of inventing the technologies of tomorrow. An environment of innovation and excellence at European level from which senior and junior researchers from around the world develop disruptive technologies and business models that will serve as an engine of socio-economic growth in the medium and long term.
+
+We are looking for a Machine Learning Engineer to develop, train and optimize classical, quantum and hybrid deep neural network models for prediction use cases: time series forecasting and 3D/volumetric reconstruction.
+
+Tasks To Be Performed
+
+Data preparation and analysis for real and synthetic training datasets.
+Collaborate with scientific researchers to design, implement and test deep neural network methods under the classical, quantum, and hybrid neural networks paradigms.
+Collaborate with scientific researchers to analyze the implementation of state-of-the-art methods.
+Conduct hyperparameter tuning of the models and optimize the consumption of resources when training the models.
+Collaborate with scientific researchers to conduct experimental validation of new methods, and benchmarking with respect to state-of-the-art methods.
+
+Required Skills, Experience And Candidate Profile
+
+Degree or Master´s degree in engineering or another relevant field.
+Strong Python programming skills, with experience in ML frameworks like PyTorch.
+Deep understanding of artificial intelligence and machine learning, including deep learning architectures and experience with time series forecasting.
+Experience with version control and containerization, including Git and Docker.
+
+Additionally, we will also value experience in the following areas:
+
+Knowledge of quantum computing, including quantum algorithms, and quantum machine learning approaches.
+
+Think Big, Do the Job & Enjoy Life
+
+At ARQUIMEA, we value diversity and inclusion. We do not discriminate on the basis of race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or other protected factors by law. All candidates will be considered equally based on their skills and experience

job-postings/02-03-2025/5.txt

@@ -0,0 +1,32 @@
+Somos una empresa tecnológica que opera a nivel global. Si te apasiona la tecnología y crees en su capacidad para transformar el mundo, ARQUIMEA es tu sitio. ¡Únete!
+
+ARQUIMEA, we are a technology company operating globally and providing innovate solutions and products in highly demanding sectors.
+
+Our areas of activity are Aerospace, Defense & Security, Big Science, Biotechnology and Fintech.
+
+ARQUIMEA Research Center (ARC), part of ARQUIMEA , was born in 2019 with the aim of inventing the technologies of tomorrow. An environment of innovation and excellence at European level from which senior and junior researchers from around the world develop disruptive technologies and business models that will serve as an engine of socio-economic growth in the medium and long term.
+
+We are looking for a Machine Learning Engineer to develop, train and optimize classical, quantum and hybrid deep neural network models for prediction use cases: time series forecasting and 3D/volumetric reconstruction.
+
+Tasks To Be Performed
+
+Data preparation and analysis for real and synthetic training datasets.
+Collaborate with scientific researchers to design, implement and test deep neural network methods under the classical, quantum, and hybrid neural networks paradigms.
+Collaborate with scientific researchers to analyze the implementation of state-of-the-art methods.
+Conduct hyperparameter tuning of the models and optimize the consumption of resources when training the models.
+Collaborate with scientific researchers to conduct experimental validation of new methods, and benchmarking with respect to state-of-the-art methods.
+
+Required Skills, Experience And Candidate Profile
+
+Degree or Master´s degree in engineering or another relevant field.
+Strong Python programming skills, with experience in ML frameworks like PyTorch.
+Deep understanding of artificial intelligence and machine learning, including deep learning architectures and experience with time series forecasting.
+Experience with version control and containerization, including Git and Docker.
+
+Additionally, we will also value experience in the following areas:
+
+Knowledge of quantum computing, including quantum algorithms, and quantum machine learning approaches.
+
+Think Big, Do the Job & Enjoy Life
+
+At ARQUIMEA, we value diversity and inclusion. We do not discriminate on the basis of race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or other protected factors by law. All candidates will be considered equally based on their skills and experience

job-postings/02-03-2025/6.txt

@@ -0,0 +1,16 @@
+Company Description
+Gnosis Health is a pioneering digital health company focused on AI-driven solutions for chronic disease management. Our core technology, including the intelligent digital health assistant MAXine, leverages advanced machine learning to provide personalised, real-time support for individuals managing chronic conditions. By integrating federated learning, explainable AI (XAI), and Bayesian adaptive modelling, Gnosis Health delivers secure, scalable, and clinically informed interventions while maintaining a strong commitment to data privacy, user trust, and regulatory compliance.
+
+Role Description
+Gnosis Health is seeking a Machine Learning Engineer to drive the development of AI-powered healthcare solutions. Based in Newcastle upon Tyne with remote work flexibility, this full-time hybrid role will involve designing, training, and optimising machine learning models that enhance MAXine’s predictive capabilities and patient engagement. The role will require deep learning, pattern recognition, and real-time data processing expertise to ensure the system adapts dynamically to individual user needs while meeting healthcare compliance standards.
+Qualifications
+Strong proficiency in machine learning model development and optimisation
+Expertise in pattern recognition, neural networks, and algorithm design
+Solid foundation in computer science, statistics, and data engineering
+Experience with federated learning, Bayesian inference, or explainable AI (XAI) is highly desirable
+Understanding of healthcare data regulations and privacy standards (GDPR, HIPAA, MHRA, FDA) is a plus
+Excellent problem-solving and analytical skills
+Ability to work effectively in a collaborative, hybrid environment
+Master’s or Ph.D. in Computer Science, Machine Learning, AI, or a related field
+
+This is an exciting opportunity to contribute to cutting-edge AI applications that transform chronic disease management and personalised healthcare delivery.

job-postings/02-03-2025/7.txt

@@ -0,0 +1,76 @@
+VTRAC Consulting Corporation
+Intelligent Solutions
+
+Thank you for applying to VTRAC opportunities. Please e-mail your resume as an MS-WORD document in confidence Subject: Senior Software Engineer (ML/Web Development/Restful API), Attention: [email protected] or call: (647) 254-0770
+
+
+Position #: 251144
+Position: Senior Software Engineer (ML/Web Development/Restful API)
+Position Type: Contract
+No. of Positions: 1
+Location: Kitchener, ON
+
+
+
+Description
+
+This is a great opportunity for a self-driven problem solver to work on Quality Control Software Systems. As a software engineer consultant, you will be working through full software development cycles, creating new products and features in the Quality Control Software Application Suite. The team you will be on specializes in building microservices for industry 4.0 applications that run both on-prem and AWS. The current projects include Real-time Location Systems Integration and Machine Learning Vision Systems and Integrations. As part of the job, you are expected to participate in system engineering support for the production during our fixed support rotations. You will be expected to visit the production floor to understand the environment and processes in which the application will be used. Additionally, you will be expected to participate as part of the core SCRUM team.
+
+
+
+Responsibilities
+
+Take concepts directly from end users and process them through Agile Methodology
+Implement solutions in a mission-critical industrial environment
+Demonstrate exceptional problem-solving skills in software engineering
+Work in a start-up-like environment with access to cutting-edge AWS tech stacks
+Focus on delivering customer value while enhancing team technical skills
+System Design
+Implementation
+Integration
+Development Testing
+System Support and Maintenance
+
+
+
+Qualifications
+
+8+ years of IT background
+5+ years of hands-on experience with machine learning in computer vision, object detection, and classification.
+Experience in training, optimizing, and deploying object detection models (YOLO, SSD, Faster R-CNN, etc.).
+5+ years of experience with Restful API (.NET or Spring Boot)
+7+ years of experience with SPA web development (Angular or React)
+7+ years of experience with Relational Databases (Postgres, Oracle, MySql, or Microsoft SQL)
+2+ years of experience in developing Multi-threaded & Concurrent applications
+2+ years of experience with Socket programming
+2+ years of experience with Asynchronous applications
+2+ years of experience with implementing design patterns and software architectures
+2+ years of experience with Linux runtime environment
+2+ years of experience with Containers (Docker / Kubernetes)
+2+ years of experience with System Design
+2+ years of experience with Computer Networks
+2+ years of experience with Caches (Redis, Memcached)
+2+ years of experience with Message Queues
+
+
+Nice to Have Technical Skills
+
+Cloud (AWS, Azure, or GCP)
+.NET
+Software build, deployment, and maintenance using build tools, IIS, and Windows Servers
+Java
+NoSql Databases
+Mobile App Development
+Industrial Protocols (OPC, PLC, Modbus, RFID)
+Embedded Systems
+Signal Processing
+Image Processing
+Message Queues (MQTT, Kafka, RabbitMQ, etc.)
+Operating System (Windows, RHEL)
+DevOps (Terraform, Ansible, Jenkins)
+
+
+We thank all candidates in advance. Only selected candidates for interviews will be contacted. For other exciting opportunities, please visit us at www.vtrac.com. VTRAC is an equal-opportunity employer.
+
+
+Toronto . Houston . New York . Palo Alto

job-postings/02-03-2025/8.txt

@@ -0,0 +1,59 @@
+About
+
+Description de l'entreprise
+
+Inetum est un leader européen des services numériques. Pour les entreprises, les acteurs publics et la société dans son ensemble, les 28 000 consultants et spécialistes du groupe visent chaque jour l'impact digital : des solutions qui contribuent à la performance, à l'innovation et au bien commun.
+
+Présent dans 19 pays au plus près des territoires, et avec ses grands partenaires éditeurs de logiciels, Inetum répond aux enjeux de la transformation digitale avec proximité et flexibilité.
+
+Porté par son ambition de croissance et d'industrialisation, Inetum a généré en 2023 un chiffre d'affaires de 2,5 milliards d'€.
+
+Pour répondre à un marché en croissance continue depuis plus de 30ans, Inetum a fait le choix délibéré de se recentrer sur 4 métiers afin de gagner en puissance et proposer des solutions sur mesure, adaptées aux besoins spécifiques de ses clients : le conseil (Inetum Consulting), la gestion des infrastructures et applications à façon (Inetum Technologies), l'implémentation de progiciels (Inetum Solutions) et sa propre activité d'éditeur de logiciels (Inetum Software). Inetum a conclu des partenariats stratégiques avec 4 grands éditeurs mondiaux - Salesforce, ServiceNow, Microsoft et SAP et poursuit une stratégie d'acquisitions dédiée afin d'entrer dans le top 5 européen sur ces technologies et proposer la meilleure expertise à ses clients.
+
+Tous nos postes sont ouverts aux personnes en situation de handicap.
+
+Description du poste
+
+Responsabilités
+
+Développer et déployer des API de machine learning sur le cloud privé du groupe ou sur la plateforme Google Cloud Platform (GCP) pour résoudre des problèmes spécifiques à l'entreprise.
+Orchestrer des API de traitement de données et de machine learning au sein de workflows complexes
+Définir et maintenir l'architecture de machine learning hybride (on-prem et GCP) et portable pour toutes les phases du MLOps (développement, ré-entraînement, inférence, suivi de modèle)
+Participer aux évolutions du framework de développement de machine learning de l'IA factory (pyarchetype)
+Travailler en étroite collaboration avec les équipes de développement logiciel pour intégrer les modèles dans les applications existantes.
+Assurer la surveillance continue des modèles déployés, effectuer la gestion des incidents pour assurer le maintien en conditions opérationnelles.
+Documenter de manière exhaustive le processus de déploiement des modèles, y compris les choix d'architecture, les algorithmes utilisés et les résultats obtenus.
+Rester informé des avancées technologiques et des meilleures pratiques en matière d'apprentissage automatique, en apportant des recommandations pour améliorer constamment les processus et les résultats.
+
+Qualifications
+
+Diplôme en informatique, mathématiques appliquées ou domaine connexe.
+Expérience pratique dans le développement et le déploiement de modèles de machine learning.
+Maîtrise de la programmation en python.
+Expérience en DevOps, avec une spécialisation en IA ou en apprentissage automatique.
+Maîtrise de Google Cloud Platform et de ses services (Kubernetes).
+Si possible, connaissance de gestion de workflows complexes (Outil utilisé : Temporal)
+Compréhension des concepts statistiques et mathématiques sous-jacents aux modèles de machine learning.
+Capacité à travailler en équipe et à collaborer avec les autres services
+Capacité à appréhender les contraintes liées au développement de produits d’IA dans le secteur bancaire et assurantiel
+
+Informations supplémentaires
+
+Poste basé a Rennes avec 2 jours de télétravail par semaine
+
+Nice-to-have skills
+
+Python
+Google Cloud Platform
+Kubernetes
+Machine Learning
+Brest, Brittany, France
+
+Work experience
+
+Machine Learning
+DevOps
+
+Languages
+
+French

job-postings/02-03-2025/9.txt

@@ -0,0 +1,48 @@
+Are you passionate about AI and eager to make a significant impact in the cybersecurity space? Join us at our cutting-edge AI startup in San Francisco Bay Area, where we are assembling a world-class team to tackle some of the most pressing challenges in cybersecurity.
+
+Why Join Us?
+$25M Seed Funding: We are well-funded, with $25 million raised in our seed round, providing the resources to innovate and scale rapidly.
+Proven Early Success with Fortune 500 Customers: We have started partnering with Fortune 500 companies, marking the early success and growing trust in our innovative solutions. This highlights the immense potential and reliability of our AI-powered cybersecurity offerings.
+Experienced Leadership: Our founding team consists of second and third-time entrepreneurs, each with over 25 years of experience in the cybersecurity industry. They are the owners of successful cybersecurity companies, with previous ventures achieving valuations of over $3 billion. Their proven expertise and vision drive our ambitious goals, positioning us to lead in the AI-powered cybersecurity space.
+World-Class Leadership Team: Our Heads of AI, Engineering, and Product bring extensive experience from some of the world’s most influential companies, ensuring top-tier mentorship, direction, and vision.
+Cutting-Edge AI Solutions: Our team leverages the most advanced AI technologies, including Large Language Models (LLMs) and Generative AI.
+Generous Compensation: We offer highly competitive salaries, equity options, and a supportive work environment. Your contributions will be valued and rewarded as we grow together.
+Cybersecurity Knowledge Preferred but Not Required: While experience in cybersecurity is a plus, we are primarily seeking top-tier talent in AI/ML and data science who are passionate about solving complex problems.
+
+About the Roles
+We are hiring for the following positions at all levels (Junior, Mid-Senior, Senior, and Principal):
+Applied Scientist
+Data Scientist
+Machine Learning Engineer
+
+What You’ll Do
+Build and deploy cutting-edge AI/ML models to solve critical cybersecurity challenges.
+Collaborate with a multidisciplinary team of AI researchers, engineers, and cybersecurity experts.
+Work with cutting-edge tools and frameworks, including:
+Deep Learning Frameworks: PyTorch, TensorFlow, JAX.
+Model Optimization Tools: ONNX, TensorRT, Hugging Face Transformers.
+Distributed Systems: Kubernetes, Apache Spark, Ray.
+Versioning and Collaboration: MLflow, DVC, Git.
+Data Engineering Pipelines: Apache Kafka, Apache Airflow, Snowflake.
+Advanced Visualization: Plotly, Matplotlib, Seaborn, TensorBoard.
+Monitoring and Logging: Prometheus, Grafana, ELK Stack.
+Innovate and experiment with technologies like LLMs, Generative AI, and few-shot learning to create robust solutions.
+
+Our Culture and Team
+Collaborative Environment: You’ll join a dynamic, fast-paced startup where innovation thrives, and every team member's voice is valued.
+World-Class Leadership: Our Heads of AI, Engineering, and Product bring extensive experience from some of the world’s best and most influential companies, ensuring top-tier mentorship and strategic direction.
+Growth Opportunities: We support your professional development through mentorship, access to industry conferences, and opportunities to work on cutting-edge AI projects that make a global impact.
+Diversity and Inclusion: We are committed to building a diverse and inclusive team that brings a variety of perspectives to solving today’s cybersecurity challenges.
+
+Work Location
+Our office is located in Silicon Valley Center in North San Jose, CA, providing a collaborative environment where innovation thrives.
+
+Perks and Benefits
+Comprehensive health benefits (medical, dental, and vision).
+Generous wellness stipends and professional development budgets.
+Equity options, ensuring you have a stake in the company’s success.
+Access to the latest tools and technologies for AI/ML development.
+
+Ready to join us on this groundbreaking journey? Apply today to become part of our mission to revolutionize cybersecurity with AI!
+
+#AI #MachineLearning #DataScience #Cybersecurity #Startup #Hiring #SanFranciscoBayArea #Innovation #TechJobs