Data Scientist

Aligned Automation, LLC; Pune District; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

Aligned Automation Services Pvt Ltd in Pune seeks a Senior AI Engineer/Data Scientist to architect and ship GenAI and agentic systems end-to-end, from framing to deployment. The role is hands-on with significant influence over architecture, standards, and production readiness.

Candidate should have 7–10 years in data science/ ML with production deployments, strong Python/SQL skills, and experience with GenAI tooling and evaluative guardrails. This is a full-time on-site opportunity in Pune.

Qualifications

• 7–10 years in data science/ ML with production deployments.
• Strong foundations in ML, statistics, and A/B testing.
• Experience building GenAI applications: prompt engineering, RAG, and fine‑tuning.

Responsibilities

• Design end-to-end GenAI apps: RAG, agentic workflows, tool-using assistants.
• Own architecture decisions across model selection, retrieval, and serving.
• Establish evaluation, observability, and guardrails for production AI systems.
• Translate business problems into scoped, high‑ROI AI solutions with stakeholders.
• Set technical standards, review designs and code, mentor junior staff.
• Keep abreast of advances and provide practical recommendations.

Skills

Strong communication

Mentoring/leadership

Problem framing

Education

Bachelor's degree in CS/Math or related

Tools

Python

SQL

PyTorch

Docker

Kubernetes

LangChain/LangGraph

LLM evaluation tools

Job description

Aligned Automation Services Pvt Ltd | Full time

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 our4Cs—Care,Courage,Curiosity, andCollaboration—ensuring that each employee is empowered to grow, innovate, and thrive in an inclusive workplace.

AI Engineer / Data Scientist — GenAI & Agentic Systems

About the Role

We're looking for a Senior AI Engineer with a strong data science foundation who has made the transition into building production GenAI and agentic systems. You'll lead the design and delivery of LLM-powered applications end to end — from problem framing through deployment — and serve as a technical anchor for the team. This is a hands‑on senior role with significant influence over architecture, standards, and how we apply AI to real business problems.

Experience: 7 –10 years, including demonstrable hands‑on experience shipping GenAI/agentic applications to production.

What You’ll Do

• Design and build end‑to‑end GenAI applications: RAG systems, agentic workflows, tool‑using assistants, and multi‑agent orchestration.
• Own architecture decisions across model selection, retrieval design, orchestration, and serving — balancing cost, latency, and quality.
• Establish evaluation frameworks, observability, and guardrails to make AI systems reliable and safe in production.
• Partner with product and business stakeholders to translate ambiguous problems into scoped, high‑ROI AI solutions, and to judge when GenAI is (and isn’t) the right tool.
• Set technical standards, review designs and code, and mentor mid‑level data scientists and engineers.
• Stay current with a fast‑moving field and bring well‑filtered, practical recommendations to the team.

Required Qualifications

• 7–10 years in data science / ML, with a track record of production‑deployed models and systems.
• Strong foundations in ML and statistics: supervised/unsupervised learning, experimentation and A/B testing, model evaluation; familiarity with causal inference and time series.
• Expert Python (pandas, NumPy, scikit‑learn), strong SQL, and proficiency in PyTorch or an equivalent DL framework.
• Demonstrated experience building GenAI applications: prompt engineering, RAG (chunking, embeddings, vector databases, reranking), and fine‑tuning/adaptation (SFT, LoRA/PEFT) with sound judgment on when to use each.
• Hands‑on experience designing agentic systems: tool/function calling, planning and orchestration, memory and state management, using frameworks such as LangChain/LangGraph, LlamaIndex, CrewAI, or AutoGen (and knowing when to build directly).
• Experience with LLM evaluation and observability (e.g., LLM-as-judge, golden datasets, tracing tools like LangSmith/Langfuse/Arize) and with guardrails for hallucination, safety, and prompt‑injection defense.
• Production engineering skills: API design, serving and streaming, caching/batching, rate‑limit handling, Docker, and CI/CD.
• Strong communication skills and experience mentoring or leading technically.

Preferred Qualifications

• Inference optimization experience (quantization, vLLM/TGI, GPU serving) and cost optimization at scale.
• Familiarity with MCP and emerging model‑to‑system interoperability standards.
• Kubernetes and infrastructure‑as‑code (Terraform).
• Experience with multimodal or unstructured data pipelines.