AIML Technical Lead

Datametica
Posted on
Datametica logo

Experience
6 - 10 yrs
Job Location
Pune, India
Vacancy
3
Designation
Artificial Intelligence and Machine Learning Consultant
Job Type
Not specified

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.

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