AIML Technical Lead

Datametica; Pune District; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

Datametica is hiring a Technical Lead AI/ML in Pune to own end‑to‑end AI/ML projects, guiding design, development, deployment, and monitoring of advanced solutions. You will mentor juniors, drive scalable architectures, and champion production‑grade workflows using MCP, RAG, LangChain, and governance best practices.

You will lead model development, data handling, and cloud deployments on Vertex AI and related services, ensuring robust, observability‑driven delivery with strong collaboration

Qualifications

• 6+ years of experience in AI/ML solution development and deployment.
• End-to-end ownership of AI/ML projects.
• Strong Python and SQL skills.
• Hands-on Generative AI, LLMs, RAG, LangChain, MCP, and orchestration frameworks.
• Cloud-native AI/ML workflows (Vertex AI, BigQuery, Dataflow, Cloud Functions).
• MLOps pipelines: CI/CD, monitoring, and retraining workflows.
• Mentoring junior engineers and strong communication skills.

Responsibilities

• Model development, training, and optimization of AI/ML and Generative AI models.
• Build and oversee conversational AI solutions using LangChain and RAG.
• Define architecture choices and deployment strategies; review junior work.
• Oversee data handling, quality, transformation, and scalable pipelines.
• Lead deployment on cloud platforms with production-grade observability.
• Mentor and coach team members; ensure timely delivery and governance.
• Collaborate with stakeholders; translate requirements into roadmaps.

Skills

Python

SQL

Generative AI

LLMs

RAG

LangChain

MCP

Orchestration frameworks

GCP Vertex AI

Tools

Docker

Kubernetes

CI/CD tooling

Job description

Job Title: Technical Lead AI/ML

Experience Level: 6+ years
Location: [Pune]
Type: Full-Time

Job Summary

We are looking for a highly skilled and motivated Senior/Lead AI/ML Engineer with expertise in Generative AI and hands‑on experience in GCP or other cloud platforms. The ideal candidate will have a proven track record of end-to-end project delivery, including design, development, deployment, and monitoring of AI/ML solutions.

In this role, you will take ownership of solution delivery, guide and mentor junior team members, and ensure high-quality, production‑ready outcomes. You will leverage advanced frameworks such as MCP, Retrieval‑Augmented Generation (RAG), and REACT to build scalable AI/ML systems and play a key role in driving innovation within the organization.

Roles & Responsibilities

1. Model Development & Solution Ownership

• Lead the design, training, and optimization of AI/ML and Generative AI models.
• Build and oversee conversational AI solutions, chatbots, and agents using LangChain, RAG, and advanced prompting.
• Define architecture choices, trade‑offs, and deployment strategies.
• Review and validate deliverables from junior engineers.

2. Data Handling & Strategy

• Oversee large‑scale datasets for AI/ML applications, ensuring quality, transformation, and normalization.
• Define scalable and reliable data engineering workflows.
• Mentor junior team members in data preprocessing, feature engineering, and analysis.

3. Cloud AI/ML Deployment

• Lead deployment and optimization of AI/ML workflows on cloud platforms (preferably GCP: Vertex AI, BigQuery, Dataflow).
• Ensure production‑grade scalability, observability, and retraining pipelines.
• Implement cost‑efficient and secure deployment strategies.

4. Team Leadership & Mentoring

• Guide, mentor, and coach junior engineers in coding, debugging, and design reviews.
• Build a collaborative team environment that encourages learning and innovation.
• Provide technical direction, ensuring adherence to best practices and delivery timelines.

5. Stakeholder Collaboration

• Act as a bridge between business stakeholders and the technical team.
• Translate business requirements into technical roadmaps.
• Communicate risks, trade‑offs, and progress clearly to leadership and clients.

6. Continuous Innovation

• Stay updated with the latest in Generative AI, LLMs, agent orchestration frameworks, and advanced ML techniques.
• Evaluate and adopt new technologies to enhance solutions.
• Proactively recommend improvements in architecture, processes, and delivery.

Required Skills & Qualifications

• 6+ years of experience in AI/ML solution development and deployment.
• Proven track record of end-to-end ownership of AI/ML projects.
• Strong programming skills in Python and SQL.
• Hands‑on experience with Generative AI, LLMs, RAG, LangChain, MCP, and orchestration frameworks.
• Deep understanding of ML algorithms, statistical methods, and embeddings.
• Experience with cloud-native AI/ML workflows (Vertex AI, BigQuery, Dataflow, Cloud Functions).
• Strong grasp of MLOps pipelines: CI/CD, monitoring, and retraining workflows.
• Demonstrated experience mentoring and guiding junior engineers.
• Knowledge of Docker/Kubernetes for deployment and containerization.

Preferred Skills

• Familiarity with Reinforcement Learning from Human Feedback (RLHF).
• Exposure to AI governance, compliance, and security best practices.
• Experience leading small-to-medium teams in delivery‑focused environments.
• Knowledge of cost optimization strategies in cloud AI solutions.
• Hands‑on with advanced agent frameworks (e.g., REACT, Agent-to-Agent orchestration).

Key Attributes

• Strong analytical, debugging, and problem‑solving skills.
• Leadership, accountability, and ownership mindset.
  Ability to mentor and uplift junior engineers while meeting deadlines.
• Excellent communication skills with both technical and non‑technical stakeholders.
• Proactive learner with the ability to adapt quickly to new technologies.