Data Scientist

2 years

0 Lacs

Posted:4 days ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Data Scientist - GenAI Lead

Remote

Full Time Employment

About The Role

We are partnering with a dynamic technology company delivering innovative digital solutions and IT services globally. Specializing in enterprise-grade applications using AWS Cloud, microservices, and AI, they drive digital transformation through custom software, data-driven insights, and client-centric innovation. We are seeking a Senior AI Engineer to lead the development of enterprise-grade Generative AI solutions, applying AI technologies, including LLMs, to solve business challenges while ensuring data privacy, security, and scalability.

Responsibilities

  • Design, fine-tune, and deploy Generative AI models for knowledge management, customer support, and content generation.
  • Build LLM-based applications using LangChain, RLHF, and RAG.
  • Apply prompt engineering and agent-based frameworks for adaptive AI systems.
  • Integrate Generative AI into existing systems for scalability.
  • Collaborate with stakeholders to identify high-impact AI use cases.
  • Decide on custom AI builds versus third-party solutions.
  • Drive innovation with vector databases and knowledge graphs.
  • Optimize and troubleshoot AI systems for performance.

Requirements

Top 5 Must-Have Technical Skills
  • 2+ years’ experience with LLMs and Generative AI.
  • Expertise in LangChain, LLM tuning, and RAG pipelines.
  • Strong knowledge of embeddings, vector databases, and prompt design.
  • Proficiency in Python, Java, or C++.
  • Experience in MLOps or AI product deployment.
Nice-to-Have Technical Skills
  • Background in machine learning pipelines.
  • Familiarity with cross-functional AI delivery teams.
  • Knowledge of scalable architectures.
Soft Skills
  • Excellent communication and interpersonal skills.
  • Strong analytical and problem-solving abilities.
  • Proactive, ownership-driven mindset with a passion for learning.
Languages Spoken
  • Must-Have: Fluency in English (verbal and written); Hindi proficiency if onsite in New Delhi.
  • Nice-to-Have: Tamil, Telugu, Mandarin, or Spanish for enhanced regional and global collaboration.
Perks
  • Professional Growth: Continuous learning through diverse projects and mentorship from experienced leaders.
  • Global Exposure: Work with clients from 20+ countries, gaining insights into diverse markets and business cultures.
  • Work-Life Balance: Flexible arrangements to support personal wellbeing and productivity.
  • Career Advancement: Clear progression pathways as you develop within a growing organization.
  • Competitive Compensation: Attractive salary packages recognizing your expertise.

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