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Associate Lead Data Scientist

Sigmoid

Andhra Pradesh, IndiaFull-timeNo compensation foundPosted 1mo agoVerified open 5 days ago
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At a glance

Compensation
No compensation found
Location
Andhra Pradesh, India
Schedule
Full-time
Work Authorization
Not specified

Requirements

Credentials this posting asks for.

Master's degree

Job overview

Sigmoid is hiring an Associate Lead Data Scientist. Sigmoid Analytics, a Sequoia‑backed data solutions firm, seeks an Associate Lead Data Scientist to tackle complex, unstructured business problems using AI and machine learning, collaborating with clients and internal teams to design and deploy scalable solutions while staying current on emerging research.

Key focus areas include Design and deploy scalable AI and machine learning solutions in production environments, Develop and optimize large language model applications using frameworks such as LangChain, LlamaIndex, and Haystack, and Drive retrieval‑augmented generation pipelines with vector databases like Pinecone, FAISS, Weaviate, and Milvus.

Successful candidates bring 5-8 Years AI/ML Engineering Experience, 2 Years Leading AI Initiatives, and Master's Degree In Computer Science. Important skills include End-to-End Design And Deployment Of Scalable AI And Machine Learning Solutions, Develop And Optimize Large Language Model Applications, LangChain, LlamaIndex, Haystack, and Drive Retrieval-Augmented Generation Pipelines. Preferred (not required): Explainability, Fine-Tuning LLMs, LoRA, and PEFT.

Skills & qualifications

RequiredNice to have

Skills

End-to-End Design and Deployment of Scalable AI and Machine Learning SolutionsDevelop and Optimize Large Language Model ApplicationsLangChainLlamaIndexHaystackDrive Retrieval-Augmented Generation PipelinesPineconeFAISSWeaviateMilvusCollaborate With Data ScientistsBuild and Manage MLOps PipelinesArchitect AI Solutions Integrated Into Enterprise ApplicationsStay Updated on AI and Generative AI ResearchMentor Junior AI EngineersPromote Best Practices in AI EngineeringTranslate Requirements Into AI-Driven OutcomesEnsure Adherence to Responsible AI PrinciplesBias MitigationFairnessExplainabilityPythonTensorFlowPyTorchHugging Face TransformersVector DatabasesRAG ArchitecturesPrompt EngineeringMLflowKubeflowApache AirflowDockerKubernetesAWS SageMakerGCP Vertex AIAzure MLData PipelineAPIScalable System DesignFine-Tuning LLMsLoRAPEFTParameter-Efficient TrainingComputer VisionMultimodal AIResponsible AI FrameworksSHAPLIMECaptumContributions to Open-Source AI Projects

Qualifications

5-8 Years AI/ML Engineering Experience2 Years Leading AI InitiativesMaster's Degree in EngineeringMaster's Degree in Computer ScienceMaster's Degree in MathematicsMaster's Degree in Computational StatisticsMaster's Degree in Operations ResearchMaster's Degree in Machine LearningMaster's Degree in Related Technical Fields4-8 Years Relevant Machine Learning Experience

Full 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.

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