Senior AI Engineer

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Ness Digital Engineering

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏢 Enterprise

☁️ SaaS

Enterprise • SaaS • Technology

Ness Digital Engineering is a full-lifecycle digital engineering firm headquartered in New York. The company offers services that encompass digital advisory and scaled engineering capabilities across various industries, including Financial Services, Manufacturing & Transportation, and Media & Entertainment. With expertise in cloud services, data and analytics, and intelligent engineering, Ness has developed a reputation for helping businesses achieve digital transformation. The company operates globally across 11 innovation hubs, utilizing a globally distributed agile development model called Flexshoring. Ness partners with leading technology platforms like AWS, Microsoft Azure, and Salesforce to provide specialized solutions. In 2022, the global investment firm KKR acquired Ness Digital Engineering.

📋 Description

• Design and implement AI pipelines for automating royalty calculation and relation processes etc • Integrate foundation models (LLMs, vision models, etc.) 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 UMG • Collaborate with the team and stakeholders to deliver, operate and maintain products

🎯 Requirements

• 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 • Familiarity with media content (video, audio) ML pipelines • 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 • Good communication skills, both oral and written • Curious, self-motivated, and proactive • Nice to have: 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

🏖️ Benefits

• access to trainings and certifications • bonuses • aids • socializing activities • attractive compensation