Practice Head – AI/ML

Codecraft; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

A leading tech firm in Bangalore is seeking a Practice Head – AI/ML to define the strategic roadmap and build scalable teams. The role involves leadership in AI/ML solutions and client engagement, demanding expertise in data engineering and proven AI/ML experience. The ideal candidate will lead innovation and drive business growth in the AI/ML domain.

Qualifications

• 12+ years in technology, 5+ years in AI/ML leadership roles.
• Experience managing diverse teams across engineering and science.
• Ability to articulate AI/ML business value to stakeholders.

Responsibilities

• Define and execute the strategic roadmap for AI/ML.
• Lead end-to-end solution architecture for AI/ML.
• Drive client engagement and business growth.

Skills

Deep experience in Data Engineering

Proven track record in Data Science & ML

Hands-on expertise with cloud platforms

Strong knowledge of MLOps

Exceptional communication skills

Job description

Overview

Experience: 12+ Years (5+ Years in AI/ML Leadership). Location: Bangalore. No. of Positions: 01.

The Practice Head – AI/ML will define and execute the strategic roadmap for Data & AI, build and scale high-performing cross-functional teams, and spearhead innovation in AI/ML. The role involves end-to-end ownership—from solution architecture and delivery to client engagement and business growth. This is both a leadership and client-facing role, requiring the ability to translate business problems into scalable AI/ML solutions, while shaping offerings and positioning the organization as a leader in Data & AI.

Key Responsibilities

• Practice Leadership
  • Define and execute the strategic roadmap for AI/ML and Data practices.
  • Build, mentor, and lead teams across data engineering, data science, ML engineering, and architecture.
  • Establish scalable frameworks, reusable assets, and best practices for AI/ML delivery.
  • Collaborate with executive leadership to shape offerings and expand the practice.
• Solution Design & Delivery
  • Lead end-to-end solution architecture: data ingestion, transformation, model development, deployment, monitoring.
  • Ensure solutions are robust, cost-efficient, scalable, and aligned with client goals.
  • Translate business problems into AI/ML use cases with measurable ROI.
• Client Engagement & Business Growth
  • Act as a trusted advisor to clients on AI/ML strategy, adoption, and innovation.
  • Drive pre-sales activities: proposals, solution presentations, stakeholder discussions.
  • Identify and execute cross-sell / up-sell opportunities across Data, Analytics, and AI.
  • Represent the organization at conferences, industry forums, and client workshops.

Required Skills & Qualifications

• Technical Expertise
  • Deep experience in Data Engineering: ETL/ELT, Big Data (Spark, Hadoop, Kafka), SQL optimization, Data Lakes/Warehouses (Snowflake, Redshift, BigQuery, Databricks).
  • Proven track record in Data Science & ML: supervised/unsupervised learning, deep learning, NLP, Computer Vision, Generative AI.
  • Hands-on expertise with cloud platforms (AWS, Azure, GCP) and their native AI/ML services.
  • Strong knowledge of MLOps, CI/CD pipelines, model lifecycle management, and data governance.
• Leadership & Business Acumen
  • 12+ years in technology with 5+ years in AI/ML leadership roles.
  • Experience managing diverse teams across engineering, science, and architecture.
  • Proven success in solutioning, delivery management, and client engagement.
  • Exceptional communication, presentation, and stakeholder management skills.
  • Ability to articulate AI/ML business value to technical and non-technical stakeholders.

Desired Profile

• A visionary leader with a proven record of building and scaling Data & AI practices.
• Strong blend of technical depth and business strategy.
• Skilled at mentoring, inspiring teams, and fostering innovation.
• Capable of shaping thought leadership in the AI/ML domain.