Data Scientist

About the job

About the Role: You will work on a broad range of cutting-edge data science and machine learning problems across a variety of industries. You will be engaging with clients to understand their business context. If you are passionate to work on complex unstructured business problems that can be solved using data science and machine learning, we would like to talk to you. Role: ALDSM Mandate Skills & Competencies: • Work on the end-to-end design and deployment of scalable AI and machine learning solutions in production environments. • Develop and optimize large language model (LLM) applications using frameworks such as LangChain, LlamaIndex, and Haystack. • Drive Retrieval-Augmented Generation (RAG) pipelines with vector databases like Pinecone, FAISS, Weaviate, and Milvus. • Collaborate closely with other data scientists to transition models smoothly from research to production. • Build and manage comprehensive MLOps pipelines encompassing training, testing, deployment, monitoring, and retraining. • Architect AI solutions integrated into enterprise applications via APIs and microservices. • Stay updated on AI and Generative AI research, continually assessing emerging frameworks for adoption. • Mentor junior AI engineers and promote a culture of best practices in AI engineering. • Work with business stakeholders to translate requirements into AI-driven outcomes. • Ensure adherence to responsible AI principles, including bias mitigation, fairness, and explainability.

Requirements

• AI
• Machine Learning
• Python
• TensorFlow

Qualifications

• Bachelor’s Degree in Engineering
• Computer Science
• Mathematics
• Computational Statistics

Preferred Technologies

• AI
• Machine Learning
• Python
• TensorFlow

About the company

Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We offer best in-end-to-end data value chain spanning across Data Science, Data Engineering and Data Ops.