Calsoft

Technical Project Manager (AI/ML)

Pune, MH, IN

22 days ago
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Summary

Job Title: AI/ML & GenAI Project Manager

Experience: 12+ Years

Location: Pune & Kolkata


Job Description:

We are seeking a highly experienced AI/ML & Generative AI (GenAI) Project Manager to lead and drive cutting-edge AI initiatives. The ideal candidate will have a strong technical background in AI/ML, expertise in project management, and the ability to lead cross-functional teams to deliver innovative AI solutions.

Key Responsibilities:

  • Lead and manage end-to-end AI/ML and GenAI projects, from inception to deployment.
  • Define project scope, objectives, deliverables, timelines, and resource requirements.
  • Collaborate with data scientists, ML engineers, software developers, and business stakeholders to ensure successful project execution.
  • Oversee the design, development, and implementation of AI/ML models, ensuring best practices in model training, validation, and deployment.
  • Evaluate and integrate Generative AI technologies to enhance business processes and customer experiences.
  • Manage project risks, dependencies, and issue resolution to ensure timely delivery.
  • Track project progress using Agile methodologies and tools like Jira, Asana, or Trello.
  • Ensure compliance with AI ethics, security, and data privacy standards.
  • Provide leadership, mentorship, and guidance to AI teams to foster innovation and excellence.
  • Stay updated with industry trends, emerging AI technologies, and best practices.

Required Skills & Qualifications:

  • Education: Bachelor's or Master’s degree in Computer Science, AI/ML, Data Science, or a related field.
  • Experience: 12+ years in IT with at least 5+ years of AI/ML project management experience.
  • Strong understanding of Machine Learning, Deep Learning, NLP, Computer Vision, and Generative AI models.
  • Hands-on experience in AI/ML frameworks such as TensorFlow, PyTorch, Hugging Face, OpenAI, LangChain, LLMs, and cloud AI services.
  • Proficiency in Python, SQL, and data engineering concepts.
  • Expertise in Agile methodologies, SDLC, and DevOps for AI/ML deployments (MLOps).
  • Excellent leadership, communication, and stakeholder management skills.
  • Strong problem-solving and analytical thinking abilities.
  • Knowledge of cloud platforms like AWS, Azure, or GCP for AI/ML workloads.
  • AI ethics, governance, and responsible AI implementation experience is a plus.

Preferred Certifications:

  • PMP / PRINCE2 / Agile Scrum Master
  • AI/ML certifications from AWS, Google, or Microsoft
  • Data Science or AI/ML specializations from reputed institutions

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