Associate Lead Data Scientist

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.

Responsibilities

• 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
• Build and manage comprehensive MLOps pipelines encompassing training, testing, deployment, monitoring, and retraining
• Architect AI solutions integrated into enterprise applications via APIs and microservices
• 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

• 5–8 years of experience in AI/ML engineering
• At least 2 years in leading AI initiatives
• Strong expertise in Python, TensorFlow, PyTorch, and Hugging Face Transformers
• Hands-on experience with LangChain or similar LLM application frameworks
• Solid understanding of vector databases, RAG architectures, and prompt engineering
• Proficiency in MLOps tools such as MLflow, Kubeflow, Airflow, Docker, and Kubernetes
• Familiarity with cloud AI platforms like AWS SageMaker, GCP Vertex AI, or Azure ML
• Minimum Master’s Degree in Engineering, Computer Science, Mathematics, or related technical fields

Preferred Qualifications

• Experience fine-tuning LLMs (LoRA, PEFT, parameter-efficient training)
• Knowledge of computer vision or multimodal AI
• Familiarity with responsible AI frameworks and explainability tools (SHAP, LIME, Captum)
• Contributions to open-source AI projects