Staff Applied Scientist

Loopio; Kolkata District; Remote; INR 3,500,000 - 7,500,000; Full time

Benefits offered by this job

Remote-first

MacBook laptop

Internet subsidy

Claude account for experimentation

Professional mastery allowance

Work-from-home budget

Job summary

Loopio is seeking a senior ML/NLP expert to lead production ML systems, particularly around LLMs, RAG, and knowledge graphs. You will design evaluations, mentor engineers, and help translate research into customer-facing features.

You will work in a remote-first environment across India, collaborating with global teams and shipping ML services to production with strong ownership expectations.

Qualifications

• 8+ years applying ML in production.
• Strong background in NLP and LLMs. Experience with RAG is expected.
• Experience with finetuning LLM and classical ML is expected.
• Track record of designing evaluations and using them to decide what ships.

Responsibilities

• Design and build knowledge graphs that turn unstructured content into structured, reliable knowledge.
• Build agents and agentic retrieval systems that find, check, and use that knowledge.
• Use feedback from real users to keep knowledge accurate and improve results over time.
• Define how we measure quality, and use those measures to decide what ships.
• Set technical direction and make build vs. buy calls on tools and approaches.
• Mentor engineers and data scientists, and set the standards for how the team runs experiments and ships models.

Skills

ML in production

NLP

LLMs

RAG

LLM fine-tuning

Classical ML

Model evaluation

Knowledge graphs

Ontology design

Information extraction

Entity resolution

Neo4j

Cypher

LLM-based agents

Planning

Tool use

Python

Production software

Mentoring

Tools

Neo4j

Cypher

Python

Job description

What You’ll Be Doing

Applied Science

• Design and build knowledge graphs that turn unstructured content into structured, reliable knowledge.
• Build agents and agentic retrieval systems that find, check, and use that knowledge.
• Use feedback from real users to keep knowledge accurate and improve results over time.
• Define how we measure quality, and use those measures to decide what ships.

Leadership & Collaboration

• Set technical direction and make build vs. buy calls on tools and approaches.
• Work with Product, Engineering, and other AI teams to turn research into features customers use.
• Mentor engineers and data scientists, and set the standards for how the team runs experiments and ships models.

What You’ll Bring To The Team

ML, NLP & Evaluation

• 8+ years applying ML in production.
• Strong background in NLP and LLMs. Experience with RAG is expected.
• Experience with finetuning LLM and classical ML is expected.
• Track record of designing evaluations and using them to decide what ships.

Knowledge Graphs & Agents

• 3+ years building knowledge graphs in production, including ontology design, information extraction, and entity resolution.
• Experience with graph databases (e.g., Neo4j) and query languages like Cypher.
• 3+ years building LLM-based agents in production, including planning, tool use, and orchestration.
• Experience making agents reliable through evaluation, guardrails, and human review.

Engineering & Leadership

• Strong Python and software engineering skills, with experience shipping ML services to production.
• Experience setting technical direction and mentoring senior engineers and data scientists.
• Ability to explain technical trade-offs in terms of customer value.

Nice to Have

• Experience with graph neural networks or knowledge graph embeddings.
• Published work or open-source contributions in knowledge graphs, information extraction, or agents.

Where You’ll Work

• This is a remote-first opportunity with the advantages of working flexibly across India.
• 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), US, India (specifically in Gujarat, Maharashtra, and Bengaluru), and London.
• 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.
• 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
• We encourage asynchronous collaboration to effectively work as a global #OneTeam!

Why You’ll Working at Loopio

• Your manager supports your development by providing ongoing feedback and regular 1-on-1s, we leverage Lattice for our 1:1s and performance conversations
• You will have the opportunity to elevate your craft and the opportunity to explore your creativity, with a dedicated professional mastery allowance for more learning support! We encourage experimentation and innovative thinking to drive business impact.
• We’ll set you up to work remotely with a MacBook laptop, a monthly phone and internet subsidy, and a work-from-home budget to help get your home office all set up.
• We’ll give you a Claude account to experiment with, automate your routine tasks, and build tools so you can work smarter every day.
• You’ll be joining a supportive culture that has thoughtfully built out opportunities for connections in a remote first environment.
• Participate in townhalls, AMA (Ask-Me-Anything), and company celebrations to celebrate the big wins and milestones as OneTeam!
• You’ll be a part of an award-winning workplace with an opportunity to make a big impact on the business.

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, transcription 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

AI Usage in Interviews

The Loopio interview process is designed to help us better understand your professional experiences, as well as your unique perspective and approach to delivery and collaboration. To ensure a fair and accurate assessment, we expect candidates to refrain from using AI-generated content to produce responses to our interview questions during the live interview, as our goal is to evaluate your own knowledge and problem-solving abilities - not those of an AI assistant. If AI-generated responses are identified during the interview, Loopio reserves the right to disqualify candidates from the interview process. For specific roles that include a take-home assignment, our AI Interviewee Policy allows the use of AI for initial support; however, the final submission must be a true reflection of your personal insights, skills and decision-making.

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 ([e-mail]) should you require accommodations at any point during our virtual interview processes.