Senior AI Engineer

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Ness Digital Engineering

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1999

💼 Consulting

🤝 B2B

🤖 Artificial Intelligence

Consulting • B2B • Artificial Intelligence

Ness Digital Engineering is a global digital engineering and technology services firm that helps enterprises modernize, build, and operate cloud-native platforms, data and AI solutions, and software products. With 25+ years of engineering experience, a consulting-led delivery model, and an AI-powered engineering platform (ATONIS), Ness focuses on outcomes such as faster release cycles, reduced manual effort, and automated enterprise workflows. It partners with cloud and data providers (AWS, Azure, Google Cloud, Snowflake, Databricks, Confluent, Salesforce) and serves industries including financial services, manufacturing & transportation, media & entertainment, retail, private equity, and healthcare.

📋 Description

• Design and implement AI pipelines for automating royalty calculation and related processes • Integrate foundation models, including LLMs and vision models, into products using APIs and custom fine-tuning • Develop and maintain retrieval systems that operate efficiently at scale • Explore frontier AI/ML software engineering for media and related client opportunities • Build on state-of-the-art cloud infrastructure • Collaborate with the team and stakeholders to deliver, operate, and maintain products • Contribute to an innovative and dynamic team • Help shape next-generation email threat detection using cutting-edge AI/ML

🎯 Requirements

• Background in Computer Science, Software Engineering, ML Ops, Artificial Intelligence, or a related technical field • 5+ years of hands-on professional experience in software/ML engineering • Ability to design and successfully implement AI/ML systems, pipelines, and/or applications • Expertise in quantitative evaluation and benchmarking of state-of-the-art AI models • Up-to-date knowledge of ML Ops, ML infrastructure, tools, design patterns, and best practices • Experience with vector databases such as Pinecone, FAISS, Milvus, or Weaviate • Experience with information retrieval systems and methods • Familiarity with media content, including video and audio, ML pipelines • Proficiency in Python and AI/ML libraries such as PyTorch, Hugging Face Transformers, and LangChain • Proficiency with cloud frameworks such as Vertex AI, Bedrock, and SageMaker • Strong proficiency in Git, CI/CD workflows, and containerization with Docker/Kubernetes • Proficiency with Linux environments and cloud platforms such as AWS and Google Cloud Platform • Ability to write clean, efficient, well-documented, reusable code • Good oral and written communication skills • Curious, self-motivated, and proactive • Nice to have: experience training and/or fine-tuning AI models • Nice to have: experience integrating and fine-tuning LLMs and using associated tools • Nice to have: competency in another programming language such as C/C++ or Java • Nice to have: experience taking systems from proof of concept to production

🏖️ Benefits

• Access to trainings and certifications • Bonuses and aids • Socializing activities • Attractive compensation • Work on products and platforms for innovative software companies • Career progression opportunities • Collaboration with a talented team of engineers, data scientists, and security professionals