The Machine Learning (ML) Practice team

The Machine Learning (ML) Practice team is a specialized customer-facing ML team at Idexcel facing an increasing demand for Large Language Model (LLM)-based solutions. ML team helps customers build and improve ML pipelines, and put those pipelines into production. We work with customers to help them shape their long-term initiatives working alongside engineering, product, and developer relations, and internal subject matter expert (SME) teams. The ideal candidate will enjoy being part of a broader team of technologists that love empowering customers, collaborating with teammates, and satisfying your curiosity working with the latest trends in LLMs, MLOps, and ML.

Responsibilities

• Develop LLM solutions on customer data such as RAG architectures on enterprise knowledge repos, querying structured data with natural language, and content generation.
• Build and increase customer data science workloads and apply the best MLOps to productionize these workloads across a variety of domains
• Advise data teams on several data science such as architecture, tooling, and best practices
• Collaborate with the product and engineering teams to define priorities and influence the product roadmap
• Designing, training, improving & launching models

Experience

• Experience with the latest techniques in natural language processing including vector databases, fine-tuning LLMs, and deploying LLMs with tools such as Anthoric,Lalma, HuggingFace, Langchain, and OpenAI
• 4+ years of hands-on industry data science experience, using typical machine learning and data science tools including pandas, scikit-learn, gensim, nltk, and TensorFlow/PyTorch
• Experience building production-grade machine learning deployments on AWS, Azure, or GCP
• Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research) or equivalent practical experience
• Experience communicating and teaching technical concepts to non-technical and technical audiences alike
• Passion for collaboration, life-long learning, and driving value through ML
• [Preferred] Experience working with Apache Spark™ to process large-scale distributed dataset

Details

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

IT Services and IT Consulting