Senior Data Scientist

Aligned Automation; Maharashtra; On-site; INR 2,000,000 - 4,000,000; Full time

Job summary

Aligned Automation seeks a seasoned Data Scientist to lead ML/AI design and delivery across our products. This hands-on leadership role spans classical data science to GenAI and Agentic systems, setting technical direction and mentoring a team of data scientists and ML engineers.

You will stay close enough to code to build and ship production systems while collaborating with product, engineering, and business stakeholders.

Qualifications

• 8–12 years of hands-on data science and ML experience with production models.
• Progression across classical data science to GenAI and Agentic AI.
• Led and mentored data scientists or ML engineers with delivery ownership.
• Strong Python skills and ML ecosystem experience.
• Deep ML lifecycle and MLOps expertise including CI/CD, monitoring and retraining.
• Experience with GenAI/Agentic tooling like LangChain and related tech.
• Solid statistics, ML theory foundations, and model evaluation.
• Excellent communication to influence technical and business stakeholders.

Responsibilities

• Lead end-to-end data science and AI initiatives from framing to deployment.
• Mentor a high-performing team of data scientists and ML engineers.
• Architect GenAI and Agentic solutions including multi-agent workflows and orchestration.
• Establish best practices for experimentation, evaluation, and MLOps.
• Collaborate with product, engineering and business stakeholders; translate problems into ML solutions.
• Own production health: performance, cost, latency, and drift of deployed models.

Skills

Hands-on data science

ML model shipping to production

Team leadership

Python and ML ecosystem

ML lifecycle & MLOps

GenAI/Agentic tooling

Statistical modeling & ML theory

Production deployment & monitoring

Communication with stakeholders

Education

MS/PhD in CS/Statistics/Math

Tools

LangChain

LlamaIndex

LangGraph

Vector databases

LLM providers (e.g., OpenAI, Anthropic)

Job description

At Aligned Automation, we live by our \"Better Together\" philosophy to build a better world. As a strategic service provider to Fortune 500 companies, we help digitize enterprise operations and drive impactful business strategies. Our purpose goes beyond projects-we strive to deliver meaningful, sustainable change that shapes a more optimistic and equitable future.

Our culture is deeply rooted in our 4Cs-Care, Courage, Curiosity, and Collaboration-ensuring that each employee is empowered to grow, innovate, and thrive in an inclusive workplace.

About the Job

About Aligned Automation

At Aligned Automation, we live by our \"Better Together\" philosophy to build a better world. As a strategic service provider to Fortune 500 companies, we help digitize enterprise operations and drive impactful business strategies. Our purpose goes beyond projects-we strive to deliver meaningful, sustainable change that shapes a more optimistic and equitable future.

Our culture is deeply rooted in our 4Cs-Care, Courage, Curiosity, and Collaboration-ensuring that each employee is empowered to grow, innovate, and thrive in an inclusive workplace.

About the Role

We're looking for a seasoned Data Scientist to lead the design and delivery of machine learning and AI systems that power our products. This is a hands-on leadership role for someone who has grown alongside the field itself from classical data science and predictive modeling, through the rise of generative AI, and into today's Agentic systems. You'll set technical direction, mentor a team of data scientists and ML engineers, and stay close enough to the work to build and ship production systems yourself.

You’ll partner with product, engineering, and business stakeholders to identify high-impact opportunities, translate ambiguous problems into well-scoped ML solutions, and take them all the way from prototype to reliable production deployment.

What You'll Do

Lead the end-to-end lifecycle of data science and AI initiatives, from problem framing and data strategy through modeling, deployment, and monitoring. Build and mentor a high-performing team, providing technical guidance, career development, and code/design review. Architect and deliver GenAI and Agentic solutions including retrieval-augmented generation, fine-tuning, multi-agent workflows, and orchestration — that operate reliably at scale. Establish best practices around experimentation, model evaluation, MLOps, and responsible AI. Collaborate with cross-functional partners to align technical work with business outcomes and communicate results to both technical and non-technical audiences. Own the production health of deployed models, including performance, cost, latency, and drift.

Must-Have

• 8–12 years of hands-on experience in data science and machine learning, with a track record of shipping models to production.
• Demonstrated career progression across the field: classical/traditional data science (statistical modeling, forecasting, classification, recommendation, etc.), through generative AI (LLMs, RAG, fine-tuning, prompt engineering), and into Agentic AI (autonomous/multi-agent systems, tool use, orchestration frameworks).
• Proven experience leading and mentoring a team of data scientists or ML engineers, including work allocation, technical review, and people development.
• Strong programming skills in Python and its ML ecosystem (e.g., pandas, scikit-learn, PyTorch or TensorFlow).
• Deep understanding of the full ML lifecycle and MLOps: experimentation, CI/CD for models, deployment, monitoring, and retraining.
• Experience with GenAI/Agentic tooling such as LangChain, LlamaIndex, LangGraph, vector databases, and major LLM providers.
• Solid foundation in statistics, ML theory, and model evaluation.
• Experience deploying and operating solutions
• Excellent communication skills and the ability to influence technical and business stakeholders.

Good-to-Have

• Experience with responsible AI, model governance, and evaluation frameworks for LLM/Agentic systems.
• Contributions to open source, publications, or conference talk
• Advanced degree (MS/PhD) in Computer Science, Statistics, Mathematics, or a related quantitative field.