Responsibilities:

• A highly motivated engineer who loves working on small, highly performing-teams
• Collaborative, a solid communicator, and work well with your team and stakeholders.
• A professional who can advocate strongly for positions and still be 100% behind team decisions even if they don’t go your way.
• Are comfortable balancing the need to move fast with the realities of working in highly regulated spaces like payments and healthcare.
• Design, implement, and maintain robust and scalable full-stack components that enhance the functionality of our products.
• Work closely with machine learning engineers to integrate AI components and models into WEX systems.
• Collaborate with the team to manage version control using GitHub and implement robust CI/CD pipelines for continuous integration and delivery.
• Design and implement RESTful APIs to facilitate communication between various components and ensure smooth operation of our applications.
• Collaborate effectively with cross-functional teams, participate in code reviews, and communicate solutions to both technical and non-technical stakeholders.
• Build, maintain, and support the AI Platform components.

Requirements & Skills:

• Solid experience of application development experience.
• Good experienc of AI/ML experience.
• Bachelor’s Degree in Computer Science, Engineering, or a related field.
• Proven experience as a Full Stack Software Engineer with a focus on building scalable solutions.
• Familiarity with cloud technologies, such as AWS, Azure, or GCP and how to provision those services through IAC frameworks such as Terraform.
• Experience applying DevOps principles to software development processes.
• Proficiency in version control systems, particularly GitHub.
• Strong knowledge of CI/CD pipelines for automated testing and deployment.
• Experience running production AI/ML workloads at scale on tools like Sagemaker, Dataiku,  DataRobot, etc.
• Hands-on experience designing and implementing RESTful APIs.
• Excellent problem-solving skills and a proactive approach to addressing challenges.

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Responsibilities:

• Lead the development of an internal GenAI application.
• Participate in the development of new features based on image generation and the integration of new RAGs.
• Work closely with business teams to optimize LLM performance by diversifying data sources (open source text, Google Drive, etc.).
• Be proactive about adding new features, including multimodal support, and contribute to scouting new technologies.
• Work in collaboration with Data Science teams.

Requirements & Skills:

• Minimum 10 years of experience, including at least 1 year on GenAI projects.
• Mastery of the Langchain framework, expertise in management and optimization of LLMs, and ability to work on connectors for information cutting.
• Ability to actively listen to business needs, and proven experience as a Product Manager in complex technical environments.
• Knowledge of open text sources and data management tools such as Google Drive.
• Fluent in French and English.

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Responsibilities:

• Design and develop automated systems
• Programming and integrating automatons
• Supervise systems (SCADA)
• Commission and perform functional tests
• Optimize maintenance procedures
• Management of security and standards of these sensitive environments

Requirements & Skills:

• A graduate of an engineering school or a Master 2 (Bac+5) with a specialization in automation or industrial computing, you have proven initial experience in this field (internship/work-study program) and knowledge of environments with high regulatory constraints.

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Responsibilities:

• Work across the entire Linux stack, from kernel, networking, storage, to applications
• Architect cloud infrastructure solutions like Kubernetes, Kubeflow, OpenStack, and Spark
• Deliver solutions either on-premise or in public cloud (AWS, Azure, Google Cloud)
• Collect customer business requirements and advise them on Ubuntu and relevant open source applications
• Grow a healthy, collaborative engineering culture in line with the company values
• Deliver presentations and demonstrations of Ubuntu Pro and AI/ML capabilities to prospective and current clients
• Liaise with product teams to give them feedback on requirements to influence roadmap
• Work collaboratively with your sales team to reach our common targets
• Global travel up to 25% of time for internal and external events and 25% to customer meetings

Requirements & Skills:

• Exceptional academic track record from both high school and university
• Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
• Experience in data engineering, MLOps, or big data solutions deployment
• Experience with a relevant programming language, like Python, R, or Rust.
• Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
• Track record of going above and beyond expectations to achieve outstanding results
• Demonstrated personal interest in continuous learning and development
• Practical knowledge of Linux, virtualisation, containers and networking
• Business-minded technology thinker and problem solver
• Knowledge of cloud computing concepts & leaders, such as Kubernetes, AWS, Azure, GCP
• Interest in large-scale enterprise open source – private clouds, machine learning and AI, data and analytics
• Intermediate-level Python programming skills
• Passion for technology evidenced by personal projects and initiatives
• The work ethic and confidence to shine alongside motivated colleagues
• Professional written and spoken English with excellent presentation skills
• Experience with Linux (Debian or Ubuntu preferred)
• Excellent interpersonal skills, curiosity, flexibility, and accountability
• A dynamic person who loves to jump in new projects and interact with people
• Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation
• Thoughtfulness and self-motivation
• Result-oriented, with a personal drive to follow up and meet commitments
• Ability to travel internationally, for company events up to two weeks long, and customer or industry meetings

The post AI/ML and MLOps Field Engineer, Canonical appeared first on AI Jobs Latest.

Responsibilities:

Requirements & Skills:

The post Senior Data Scientist, Sanofi appeared first on AI Jobs Latest.

Responsibilities:

• As an Engineering Manager for the Writing Compliance team, you will drive the development of innovative new product features to personalize Grammarly for business and enterprise customers.
• You will help build and lead a team of talented engineers and cross-functional partners to build industry-leading capabilities using cutting-edge technologies such as GenAI and custom models.

Requirements & Skills:

• Has 5+ years of managing high-performing engineering teams with a track record of shipping measurable impact and value to customers.
• Share examples of working directly with Design and Product to iterate on ideas and build roadmaps for the team.
• Has worked on products with a high level of ambiguity, building ground-up products or MVPs to validate ideas and turn them into successful products or features with measurable impact.
• Has experience hiring great talent and coaching teams to deliver high impact.
• Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
• Is inspired by our MOVE principles: move fast and learn faster; obsess about creating customer value; value impact over activity; and embrace healthy disagreement rooted in trust.
• Is able to meet in person for their team’s scheduled collaboration weeks, traveling if necessary to the hub where their team is based.

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