drjobs Senior Manager, Machine Learning & Applied Science

Senior Manager, Machine Learning & Applied Science

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1 Vacancy
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Job Location drjobs

Bangalore - India

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Take your career to new heights with Loopio!

Loopio is a workplace that unleashes learning & growth opportunities for our Loopers. We provide autonomous challenging work that allows each employee to master their craft. We attract and retain people who are naturally curious have grit and are eager to grow and build their careers. At Loopio we genuinely support each other because true success comes from working as #oneteam.

Were seeking a highly skilled and hands-on Senior Manager of Machine Learning & Applied Science to lead the design development and delivery of advanced NLP LLM and agent-based systems that power our AI capabilities. This is a deeply technical leadership role for someone who actively engages with the latest research prototypes innovative approaches and translates them into production-grade solutions that deliver measurable customer impact.

You will manage and mentor a team of Machine Learning Engineers and Applied Scientists set the technical direction for modeling efforts and ensure projects are executed with speed accountability and scientific rigour. The role demands both high-caliber technical leadership and direct contribution to complex modeling and system design.

This role requires close collaboration with teams across Canada the UK and India. To accommodate the time zone differences you will be expected to work from 11 am - 7:30 pm IST

What Youll Be Doing

  • 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 Youll 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 Youll Work

  • Loopio is a remote-first workplace because we recognize the advantages of working flexibly. We are HQd 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).

  • Our India/UK hub employees work according to the business hours stated in the job description above. This is intentionally designed to enable our global teams to have overlapping hours for collaboration.

  • Youll collaborate with your teams virtually across the UK India and North America (were just a Zoom call and Slack message away!) with core sync hours and focus time for heads down work during the workday

  • We encourage asynchronous collaboration to effectively work as a global #OneTeam!

Why Youll Working at Loopio

Questioning your qualifications Read this Hi there we recognize that all too often potential candidates dont apply for a position simply because they dont hit every single criteria included in the job descriptionparticularly members of underrepresented groups.

Whether or not your experience checks off all the boxes on a job posting we still encourage you to apply to ensure that your application receives a review from our team. We understand that a resume can only showcase so much during the applicant stage so weve created prompts in the application for you to share more about yourself. If youve made a career transition (or a few!) youre self taught in a new role or you have skills/experience youd like to highlight we want to hear more about what you could bring to the table.

AI in Recruitment At Loopio we leverage artificial intelligence (AI) technology to enhance our recruitment process. These tools assist with tasks such as resume screening drafting preliminary job descriptions generating initial interview questions and occasionally sourcing prospective candidates. However AI is never used to make final hiring decisions; our use of AI serves to support repetitive and administrative tasks in order to streamline our hiring and recruitment workflows. We are committed to the responsible use of AI in our hiring practices prioritizing both an improved candidate experience and operational efficiency. Our standardized hiring practices remain focused on reducing biases with all key hiring decisions solely made by our team. We continuously review and refine our hiring practices to align with industry best practices and evolving legal guidelines

Loopio is an equal opportunity employer that is deeply committed to building equitable workplaces that are diverse and inclusive. We actively encourage candidates from all backgrounds and lifestyles to consider us as a future employer. Please contact a member of our Talent Experience team () should you require accommodations at any point during our virtual interview processes.


Required Experience:

Senior Manager

Employment Type

Full-Time

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