Senior Data Scientist

Role Impact

As a Senior Data Scientist / Machine Learning Engineer, you will play a key role in shaping intelligent solutions for enterprise clients. Your responsibilities will include:

• Designing and deploying cutting-edge applications using Large Language Models (LLMs), including Retrieval-Augmented Generation (RAG) and agent-based systems, to improve organizational knowledge access and usability.

• Enabling natural language querying of structured data and supporting automated content generation.

• Enhancing clients’ data science practices through the application of MLOps principles to ensure scalable and reliable deployments across a range of industries.

• Advising data teams on optimal architectures, tools, and best practices to elevate their data science capabilities.

• Providing technical leadership and mentorship to peers in the Machine Learning Subject Matter Expert community.

Required Experience

• Advanced knowledge of natural language processing (NLP), including experience with vector databases, LLM fine-tuning, and deployment using platforms such as Hugging Face, LangChain, and OpenAI.

• 5–6+ years of practical experience in applied data science, with strong proficiency in tools and libraries like pandas, scikit-learn, gensim, NLTK, and TensorFlow or PyTorch.

• Demonstrated success in developing and implementing production-level machine learning systems on cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).

• Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences.

• Experience using Apache Spark™ for distributed data processing at scale.

• Familiarity with the Databricks platform and its ecosystem.

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