Senior AI Engineer

Ness Digital Engineering is looking for an experienced AI/ML Engineer with deep expertise in feature engineering and model engineering to join our team.

Technical Responsibilities:

• Design and implement AI pipelines for automating royalty calculation and relation processes;
• Integrate foundation models into products using APIs and custom fine-tuning;
• Develop and maintain retrieval systems that operate efficiently at scale;
• Explore frontier software engineering in AI/ML for media, and related opportunities for our client;
• Build on state-of-the-art cloud infrastructure;

You Must have:

• Background in Computer Science, Software Engineering, ML Ops, Artificial Intelligence or related technical field;
• 5+ years of hands-on professional experience in software/ML engineering;
• Proven ability to come up with designs for AI/ML systems, pipelines and/or applications, and to implement them successfully;
• Expertise in quantitative evaluation and benchmarking of state-of-the-art AI models;
• Up to date knowledge of state of the art for ML Ops, ML infrastructure, including related tools, design patterns, best practices etc;
• Experience with vector databases (e.g., Pinecone, FAISS, Milvus, Weaviate) and information retrieval systems and methods;
• Proficiency in Python and common AI/ML libraries (e.g., PyTorch, Hugging Face Transformers, LangChain) and cloud frameworks (VertexAI, Bedrock, Sagemaker);
• Strong proficiency in Git, CI/CD workflows, and containerization (Docker/Kubernetes);
• Proficiency with Linux environments and cloud platforms (e.g. AWS, Google Cloud Platform);
• Ability to write clean, efficient, well documented, and reusable code;

Secondary:

• Experience training and/or fine-tuning AI models;
• Experience with LLMs integration, fine-tuning and associated tools (e.g. LangChain, Agent frameworks);
• Competency in at least one other programming language (e.g. C/C++, Java);
• Experience going from POC to production-grade system;