Technical Project Manager

Role : Technical Project Manager

Location : Hyderabad

Experience : 8+Years

Technical Project Manager (TPM)

project management expertise, AI/ML exposure, stakeholder management, and delivery leadership

Key Responsibilities

• Lead

  end-to-end delivery

  of AI/ML and GenAI projects, including chatbots, automation platforms, LLM evaluation, and applied ML solutions.
• Translate

  business requirements into technical workflows

  , collaborating with engineering, data science, and operations teams.
• Manage

  project governance, SLAs, KPIs, TATs, and stakeholder expectations

  across global delivery engagements.
• Oversee

  team operations

  (small cross-functional teams to large-scale operator groups) ensuring adherence to project goals.
• Drive

  solution design discussions

  , ensuring AI/ML workflows integrate seamlessly into business processes.
• Facilitate

  client communications, budgeting, invoicing, and delivery optimization

  .
• Continuously explore opportunities to leverage

  LLMs, automation, and AI-first tools

  to improve efficiency.
• Support

  upskilling and knowledge-sharing initiatives

  in AI/ML practices across the project teams.

Required Qualifications

• Education

  :
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical discipline.
• MBA or equivalent (preferred but not mandatory if technical/project credentials are strong).

• Experience

  :
• 8–12 years of total experience, including

  5+ years in Project/Program Management

  roles.
• Hands-on exposure to

  AI/ML, GenAI, LLM-based projects, automation workflows, or SaaS-based AI solutions

  .
• Proven track record of managing

  end-to-end delivery

  of technical projects with global teams.

• Project Management Skills

  :
• Strong understanding of

  Agile/Iterative methodologies

  .
• Excellent in

  stakeholder communication, reporting, governance, and metrics-driven delivery

  .
• Certifications such as PMP, Agile, or equivalent (preferred).

• AI/ML Exposure

  :
• Familiarity with

  LLM calls, APIs, fine-tuning, annotation, evaluation, and AI-driven automation workflows

  .
• Strong applied experience in

  AI-powered tools and platforms

  (chatbots, report automation, CRM AI integration, autonomous systems).

Preferred Skills

• Exposure to

  multilingual AI/ML workflows

  and

  large-scale delivery programs

  .
• Ability to

  bridge business and technical perspectives

  effectively.
• Strong leadership in managing

  teams of varying sizes (cross-functional tech + operations teams)

  .
• Strategic thinking combined with

  hands-on problem-solving ability

  .

Compensation

• Competitive, with a target

  budget fit of ~25 LPA

  (flexible for exceptional candidates).

Ideal Candidate Profile

• Adaptable and motivated

  with a demonstrated shift into AI/ML-focused program management.
• Strong balance of

  delivery leadership and AI/ML technical understanding

  .
• Eager to

  grow in AI-first workflows

  , while providing immediate value in project execution and stakeholder management.