Ai engineer Jobs

Job title: Accelerator Digital Data Engineer Location: Lyon, France Hybrid 3 day on site, 2 days WFH About The Job As a Data Engineer within our Digital Manufacturing & Supply Accelerator team, you will contribute to revolutionizing how Sanofi delivers life-saving medicines through AI and digital innovation. Your solid experience will be valuable in implementing and optimizing our data solutions.

Develop, integrate, and evaluate machine-learning models for robotics, including perception models, learned policies, multimodal or language-conditioned components, and robot learning systems. Design systems that handle real-world complexity, including noisy sensors, limited compute, real...

Job description: Job Description Role Purpose The purpose of the role is to create exceptional product architectural design for the existing and new products and enable delivery teams to provide exceptional client engagement and satisfaction. ͏ Do Develop architectural designs for the new and existing products Define product requirements and design needs by displaying complete understanding of product vision and business requirements Understand market- driven business needs and objectives; technology trends and requirements to define architecture requirements and strategy Create a product-wide architectural design that ensures systems are scalable, reliable, and compatible with different deployment options Develop theme-based Proof of Concepts (POCs) in order to demonstrate the feasibility of the product idea and realise it as a viable one Analyze, propose and implement the core technology strategy for product development Conduct impact analyses of changes and new requirements on the product development effort Provide solutioning of RFPs received from clients and ensure overall product design assurance as per business needs Collaborate with sales, development, consulting teams to reconcile solutions to architecture Analyse technology environment, enterprise specifics, client requirements to set a product solution design framework/ architecture Provide technical leadership to the design, development and implementation of custom solutions through thoughtful use of modern technology Define and understand current state product features and identify improvements, options & tradeoffs to define target state solutions Clearly articulate, document and sell architectural targets, recommendations and reusable patterns and accordingly propose investment roadmaps Validate the solution/ prototype from technology, cost structure and customer differentiation point of view Identify problem areas and perform root cause analysis of architectural design and solutions and provide relevant solutions to the problem Tracks industry and application trends and relates these to planning current and future IT needs Provides technical and strategic input during the product deployment at the client site Support Delivery team during the product deployment process and resolve complex issues Collaborate with delivery team to develop a product validation and performance testing plan as per the business requirements and specifications.

Responsibilities Technical Strategy & Architecture: Partner with stakeholders to translate complex customer challenges into robust technical designs and AI strategies. End-to-End Ownership: Architect, build, and deploy high-performance AI/ML platforms and tools, ensuring scalability, reliability, and security.

VASS BeNeLux, in partnership with the European Commission, is currently seeking an Expert in AI/NLP/ML (AI/NLP/ML) , near-site in Brussels. The role: • Development and maintenance of software applications in the field of Natural Language Processing (NLP), Machine Learning (ML) and/or Artificial Intelligence (AI); • Training of custom machine learning / deep learning models based on structured and unstructured data; • Selecting features, building and optimizing classifiers using machine learning techniques; • Studies and developments aiming at improving the quality of machine translation (MT) engines for each installed language pair, addressing the specific needs of customers of the service concerning MT quality and contributing to a general strategy for the systematic evaluation and long-term improvement of MT quality; • Interact with data stewards and other IT stakeholders to define the data rules; • Define data controls and implement actions to ensure data quality and integrity; • Creating automated anomaly detection systems and constant tracking of its performance; • Data mining using state-of-the-art methods; • Processing, cleansing, and verifying the integrity of data used for analysis; • Design the IT architecture for solitons in the NLP / ML / AI fields, and coordinate its implementation considering master- and meta-data management concepts; • Analyse data architecture for consistency, completeness, accuracy and reasonableness; • Contributing for the analysis of data management vision, strategy and policy and derive the IT requirements; • Contributing to the design of the IT architecture considering master- and meta-data management concepts.

Customer Integration & Deployment Lead technical discovery, solution scoping, and integration planning with customer engineering teams. Train customer teams on best practices for general AI systems and workflow integration.

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. Effectively mentor others.

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. Effectively mentor others.

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. Effectively mentor others.