Staff Data Scientist (Remote - India)

Jobgether; India; À distance; INR 2 000 000 - 3 000 000; Plein temps

Avantages offerts par ce poste

Flexible remote working arrangements

Competitive salary and stock options

Comprehensive health and life insurance

Learning and development budget

Paid leave

Résumé du poste

A tech-focused company based in India is seeking an experienced Staff Data Scientist to lead advanced data initiatives including generative AI solutions. This role involves designing AI pipelines, collaborating with teams, optimizing models, and managing stakeholder expectations. Candidates should have over 10 years of experience in software development or machine learning, with strong skills in Python and big data technologies. The position offers flexible remote working arrangements and a competitive salary.

Qualifications

• 10+ years in software development or machine learning, with 2 years as Product Owner or Data Lead.
• Hands‑on experience with frameworks for multi‑agentic AI workflows.
• Strong knowledge of big data technologies and cloud platforms.

Responsabilités

• Design and optimize AI workflows leveraging AWS and Databricks.
• Collaborate with ML engineers to deploy models and ensure observability.
• Lead scrum ceremonies and manage the roadmap for data initiatives.

Connaissances

Software development

Machine learning

Prompt engineering

Leadership

Big data technologies

Python

SQL

Outils

LangGraph

AWS

Hadoop

Spark

Description du poste

We are seeking an experienced Staff Data Scientist to lead the development and implementation of advanced data initiatives, including generative AI and agentic AI solutions. You will collaborate closely with business teams, product managers, data engineers, and analysts to deliver actionable insights and drive product-focused objectives. This role involves designing end-to-end AI pipelines, optimizing models, deploying solutions with CI/CD practices, and ensuring operational reliability. You will also influence product roadmaps, manage stakeholder expectations, and mentor teams to maximize impact.

Accountabilities

• Design, implement, and optimize GenAI and multi-agent AI workflows, including RAG pipelines, leveraging platforms such as AWS Bedrock and Databricks
• Collaborate with ML engineers to deploy models, establish CI/CD pipelines, and ensure model tracking and observability
• Detect and address model drift, hallucinations, and safety guardrail failures to maintain operational integrity
• Plan and manage the roadmap for data engineering and science initiatives aligned with business objectives
• Lead scrum ceremonies, triage requests, assign tasks, and coordinate across cross-functional teams
• Track team performance metrics and provide feedback to business and product stakeholders
• Identify and resolve challenges in data ingestion, analysis, and model deployment processes

Requirements

• 10+ years of experience in software development or machine learning, with at least 2 years as a Product Owner or Data Lead
• Hands‑on experience with LangGraph or similar frameworks for multi‑agentic AI workflows
• Deep understanding of prompt engineering, RAG pipeline design, and LLM fine‑tuning techniques
• Experience with evaluating GenAI models using quantitative and qualitative metrics
• Strong knowledge of big data technologies such as Spark, SparkML, Hadoop, and cloud platforms like AWS
• Proficiency in Python and SQL, with a solid grasp of ML/DS inferencing and end-to-end data pipelines
• Demonstrated leadership skills, including mentoring data scientists and guiding cross-functional teams
• Strong organizational and problem-solving abilities in fast-paced, scaling environments

Benefits

• Flexible and remote working arrangements with optional office collaboration days
• Competitive salary and stock options
• Comprehensive health, term, and life insurance for self and family
• OPD benefits and mental wellbeing support
• Learning and development budget, WFH setup allowance
• Paid leave: 15 privilege days, 12 casual days, 12 sick days, plus 3 days for volunteering or L&D activities