AI/ML Engineer

About the Role This position requires the successful candidate to work on a W2 directly with FDM. We cannot accept C2C, C2H, 1099 or employment sponsorship (e.g. H1-B or OPT) for this position . FDM is a global business and technology consultancy delivering client and industry driven solutions through our 5 core specialist Practices; Software Engineering, Data & Analytics, IT Operations, Change & Transformation, and Risk, Regulation & Compliance. FDM is seeking a AI/ML Engineer located in or around Jersey City, NJ, Whitehouse Station, NJ, Philadelphia, PA or Simbury, CT to support a project in the Insurance sector. Involvement in this project is anticipated to last initially 1 year but may be extended. • Collaborate with business partners and peers within the organization to understand and scope the problem, gather business requirements, and facilitate the data integration process. • Work closely with team of data scientists to implement and test machine learning models to solve complex business challenges on Azure platform. • Research & implement state of the art modeling approaches including but not limited to zero-shot/few-shot learning, embedding techniques, fine-tuning etc. • Ensure high quality code that meets business objectives, quality standards and secure web development guidelines. • Integrate with data / document sources using APIs and / or data pipelines. • Create excellent working relationships with business partners across the Chubb organization, IT and Analytics peer groups. • Effectively communicate with key stakeholders in written, oral and presentation formats. About You • 3+ years’ experience in Machine Learning (ML), with deep expertise in writing, and reviewing production code in Python. • Knowledge of ML frameworks and libraries (such as TensorFlow/Pytorch), and exposure to various ML algorithms and their practical implementation in production at large scale. • Experience with designing scalable end-to-end Machine Learning/NLP systems. • Experience on distributed, high throughput and low latency architecture. • Understanding of NLP techniques around text cleaning/pre-processing, entity extraction, encoder-decoder architectures, similarity matching etc. • Experience building software on top of containerization technology (Kubernetes, Docker etc.), and familiarity with frameworks/tools such as FastAPI, Uvicorn. • Familiarity with Continuous Integration tools such as Jenkins. • Experience with architecting and consuming APIs in a scalable (multi-threaded/batched) fashion. • Ability to multi-task, learn new things quickly, and have excellent problem solving & communication skills. • A mindset for collaboration, knowledge sharing and keeping up to date on emerging industry trends. • Appetite for learning and keeping up to date on the latest generative AI technologies and processes • Preferred • Comfortable with command line (Linux, Windows) scripting. • Familiarity with Prompt Engineering • Familiarity with generative AI techniques, such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), or other generative models. • Nice To Have • Experience with at least one other programming language (R, Julia, Scala, Go, Java, C++). • Exposure to technologies such as DBT, Apache AirFlow or Luigi. • Working knowledge of containers, specifically Dockerizing APIs. • Exposure to CI-CD pipelines. • Comfortable with at least one NoSQL database (MongoDB, ElasticSearch, CosmosDB, etc.). • Education • Bachelor’s / Master’s degree in a technical field such as Statistics, Computer Science, Data Science, Bioinformatics, Physics, Mathematics or Engineering (advanced degree a plus). Preferred • Comfortable with command line (Linux, Windows) scripting. • Familiarity with Prompt Engineering • Familiarity with generative AI techniques, such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), or other generative models. • Nice To Have • Experience with at least one other programming language (R, Julia, Scala, Go, Java, C++). • Exposure to technologies such as DBT, Apache AirFlow or Luigi. • Working knowledge of containers, specifically Dockerizing APIs. • Exposure to CI-CD pipelines. • Comfortable with at least one NoSQL database (MongoDB, ElasticSearch, CosmosDB, etc.). • Education • Bachelor’s / Master’s degree in a technical field such as Statistics, Computer Science, Data Science, Bioinformatics, Physics, Mathematics or Engineering (advanced degree a plus). About Us FDM is an award-winning global business and technology consultancy powering the people behind tech and innovation for over 30 years. We collaborate with world-leading companies to identify the expertise they need, exactly when they need it. We have helped successfully launch nearly 25,000 careers globally to date and are a trusted partner to over 300 companies worldw ide.