Associate Lead Data Scientist

Sigmoid Data Engineering; Hyderabad; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Sigmoid Analytics in Hyderabad invites an ALDS who will tackle cutting-edge data science and ML problems across industries, interfacing with clients to understand business context and translate requirements into AI-driven outcomes.

You will design, deploy and maintain production AI systems, build LLM-based applications using LangChain, manage retrieval augmented generations with vector databases, and mentor junior engineers.

Qualifications

• 5–8 years of experience in AI/ML engineering with leadership exposure.
• Strong programming in Python and ML frameworks.
• Hands-on with LangChain or similar LLM application frameworks.
• Solid understanding of vector databases, RAG architectures, and prompt engineering.
• Experience with MLOps tools and cloud AI platforms.

Responsibilities

• Design and deploy scalable AI/ML solutions in production environments.
• Develop and optimize large language model (LLM) applications using LangChain, LlamaIndex, and Haystack.
• Drive Retrieval-Augmented Generation (RAG) pipelines with vector databases like Pinecone, FAISS, Weaviate, Milvus.
• Collaborate with data scientists to transition models from research to production.
• Build and manage MLOps pipelines for training, testing, deployment, monitoring, and retraining.
• Architect AI solutions integrated into enterprise applications via APIs and microservices.
• Stay updated on AI and Generative AI frameworks and evaluate new tools.
• Mentor junior AI engineers and promote 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 and explainability.

Skills

AI/ML engineering

Python

TensorFlow

PyTorch

Hugging Face Transformers

LangChain & LLM apps

Vector databases & RAG

Prompt engineering

MLOps tools

Cloud AI platforms

Education

Master’s Degree in Engineering, Computer Science, Mathematics, Computational Statistics, Operations Research, Machine Learning or related fields

Tools

MLflow

Kubeflow

Airflow

Docker

Kubernetes

Job description

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. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modelled around expertise and mutual respect with a team first mindset. You’ll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire.

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: ALDS

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.

Must-Have

• 5–8 years of experience in AI/ML engineering, with at least 2 years in leading AI initiatives.
• Strong expertise in Python, TensorFlow, PyTorch, 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 (MLflow, Kubeflow, Airflow, Docker, Kubernetes).
• Familiarity with cloud AI platforms (AWS SageMaker, GCP Vertex AI, Azure ML).
• Strong background in data pipelines, APIs, and scalable system design.

Nice-to-Have

• 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.

Desired Experience & Education

• 4- 8 years of relevant Machine Learning experience.
• Minimum Master’s Degree in Engineering, Computer Science, Mathematics, Computational Statistics, Operations Research, Machine Learning or related technical fields.

Note

By submitting your application, you consent to being contacted by our Talent Acquisition team via phone call, email, SMS, WhatsApp, or other communication channels regarding your application and relevant career opportunities.