Staff Data Scientist, Machine Learning - India

WHAT YOU WILL OWN

• The AI stack roadmap, from opportunity sizing and prototyping to evaluation, deployment and impact measurement
• Technical execution: performance, validation and inference of real-time models
• Standards and governance for model development, LLM evaluation, observability, security and cost management
• Capability mentorship: coaching analysts and creating reusable tools
• Strategic communication of complex work to senior stakeholders
• Cross-functional leadership: aligning stakeholders with competing priorities

TECHNICAL BREADTH REQUIRED

• Expertise in Python, SQL, statistical analysis and common ML frameworks
• Deep knowledge of MLOps: feature engineering, deployment, inference and monitoring
• Proficiency with LLM APIs, RAG, semantic layers, embeddings and agent-orchestration frameworks
• Experience building robust ML pipelines for both real-time and asynchronous predictions

BEHAVIOURAL STRENGTHS

• Exceptional business acumen and clarity of thought
• Curiosity driven by purpose, able to zoom in on details and out to strategy

PREFERRED QUALIFICATIONS

• Understanding of recurring-revenue B2B SaaS business models
• Data-engineering experience: governance, transformation and orchestration patterns on modern platforms

LOCATION, LANGUAGE AND HIRING CONDITIONS

• Remote-first: the role is done remotely from within the country named in the posting (India).
• Employer requires fluent spoken and written English; interviews and screening are mainly in English. Any extra language needs would be stated in the posting.
• JumpCloud has teams in 15+ countries and does not accept resumes from third-party recruiters.
• Application: submit a resume plus a short note on why you fit the role.
• The employer may use AI tools to help review applications, transcribe or summarise interviews and assess responses; people make the final hiring decisions.
• Scam warning from the employer: official messages come only from @jumpcloud.com addresses, and JumpCloud never asks for bank or card details, fees, purchases, or sends cheques for equipment before employment.