Senior Manager, Machine Learning & Applied Science

5 - 10 years

8 - 11 Lacs

Posted:2 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

 
  • Lead Modeling and System Development

    Own the scope, architecture, and delivery of ML models and systems across NLP, large language models (LLM), retrieval-augmented generation (RAG), and multi-agent orchestration. Ensure initiatives are technically sound, feasible, and aligned with product objectives.
  • Hands-On Applied Science and Engineering

    Actively review research papers, identify promising techniques, and adapt them into working prototypes. Implement and optimize LLMs for reasoning, planning, and decision-making. Build and deploy intelligent agent workflows, including context-aware copilots, tool orchestration, and continuous feedback loops to improve automation and accuracy.
  • People Leadership

    Lead, mentor, and develop a high-performing applied science team, fostering a culture of ownership, accountability, and urgency. Provide regular feedback, support career growth, and set a high technical bar.
  • Delivery and Collaboration

    Drive project plans for modeling initiatives, monitor progress, and hold the team accountable for delivering high-quality, high-impact ML systems on time. Work closely with Product, Design, and Engineering teams to integrate models effectively, validate performance, and deliver measurable customer value.

What You ll Bring to the Team

  • Applied Machine Learning Expertise

    5+ years of experience in applied ML, with a focus on NLP, large language models, transformers, retrieval-based methods, and multi-agent systems. Adept at evaluating academic research and translating promising ideas into scalable, production-ready solutions that deliver measurable impact.
  • Technical Execution and Engineering Rigor

    Strong Python programming skills and deep experience with frameworks like PyTorch and TensorFlow. Skilled in designing ML architectures, prototyping solutions, and deploying models via APIs or services. Brings a pragmatic, systems-oriented mindset to solving complex technical problems.
  • People Leadership

    2+ years leading applied ML teams, with a track record of building high-performance, high-ownership environments. Known for setting clear expectations, mentoring team members, and fostering a culture of continuous learning, technical excellence, and results-oriented delivery.
  • Cross-Functional Collaboration

    Proven ability to work closely with Product, Design, and Engineering teams to align ML efforts with broader business goals. Comfortable navigating ambiguity, making trade-offs, and driving progress through clear communication and shared accountability.

Where You ll Work

  • Loopio is a remote-first workplace because we recognize the advantages of working flexibly. We are HQ d in Canada, with established hub regions around the world where we hire from.
  • Our employees (or Loopers, as we call ourselves!) live and work in Canada (British Columbia and Ontario), London, and India (specifically in Gujarat, Maharashtra, and Bengaluru).
  • The majority of our team is based in ON and BC, which means these employees live and work remotely within a 300km radius of Toronto (within Ontario) and Vancouver (Within BC).
  • We offer flexible co-working locations available to Loopers in ON and BC. Those based in ON have the option of working out of our convenient co-working space located in the heart of Downtown Toronto and a 12-minute walk from Union Station. BC Loopers have the option to work centrally in Vancouver. It is whatever works best for you!
  • You ll collaborate with your teams virtually across the UK, India, and North America (we re just a Zoom call and Slack message away!) with core sync hours and focus time for headsdown work during the workday

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