Data Science Analyst - GenAI

We're Hiring: Data Scientist Generative AI Focus

Are you passionate about data, machine learning, and the future of Generative AI? Join us in shaping cutting-edge solutions that redefine how businesses leverage data and intelligence.

Location:

What Youll Do

• Design and develop scalable ML models with a focus on Generative AI (LLMs, diffusion models, etc.)
• Work with cross-functional teams to deploy AI solutions in real-world applications.
• Analyze large datasets to uncover insights and drive decision-making.
• Stay ahead of the curve with the latest in GenAI research and tools (e.g., LangChain, Hugging Face, OpenAI APIs).

What Were Looking For:

Lead the design and deployment of enterprise-grade generative AI systems, driving innovation in LLM orchestration, multimodal architectures, and scalable AI/ML pipelines. Own the full lifecycle from research to production, ensuring alignment with business objectives and ethical AI standards. This will be a hands-on individual contributor role as well as providing technical guidance to junior developers.
Key Responsibilities 1.Technical Leadership Architect multi-LLM systems (e.g., Mixture-of-Experts, LLM routing) for cost-performance optimization. Design GPU/TPU-optimized training pipelines (FSDP, DeepSpeed) for billion-parameter models.

2. Cloud-Native AI Development
Build multi-cloud GenAI platforms (Azure OpenAI + GCP Vertex AI + AWS Bedrock) with unified MLOps. Implement enterprise security: VPC peering, private model endpoints, and data residency compliance.

3. Innovation & Strategy
Pioneer GenAI use cases: Agentic workflows, AI-driven synthetic data generation, real-time fine-tuning. Establish AI governance frameworks: Model cards, drift monitoring, and red-teaming protocols.

4. Cross-Functional Impact
Partner with leadership to define AI roadmaps and ROI metrics (e.g., $ saved via AI-driven automation). Mentor junior engineers and evangelize GenAI best practices across the organization.

• Qualifications
  Education: Bachelors/Masters in CS/AI or equivalent industry experience (5+ years in ML, 2+ in GenAI).
• Technical Mastery:
  Languages: Python. Frameworks: Expert-level PyTorch, TensorFlow Extended (TFX), ONNX Runtime. Cloud: Certified in Azure AI Engineer Expert and/or GCP Professional ML Engineer.
• GenAI Expertise:
  Shipped production GenAI systems (e.g., 10k+ QPS chatbots, code autocomplete at GitHub Copilot scale). Advanced prompt/response engineering: Self-critique chains, LLM cascades, guardrail-driven generation.
• Must-Have Experience
• Cloud AI experience:
  Azure: Designed solutions with Azure OpenAI, MLOps Pipelines, and Cognitive Search. GCP: Scaled Vertex AI LLM Evaluation, Gemini Multimodal, and TPU v5 Pods.
• High-Impact Projects:
  Automation projects to reduce significant $$ costs. Built RAG systems with hybrid search (vector + lexical) and dynamic data hydration. Led AI compliance for regulated industries (healthcare, finance).
• Preferred Qualifications Additions
  Certifications: Azure: Microsoft Certified: Azure AI Engineer Associate. GCP: Google Cloud Professional Machine Learning Engineer.
• Experience with hybrid/multi-cloud GenAI deployments (e.g., training on GCP TPUs, serving via Azure endpoints).

Why Join Us?

• Work on impactful projects in a fast-paced, innovation-driven environment.
• Collaborate with a team of passionate data scientists and AI engineers.
• Access to cutting-edge tools, resources, and learning opportunities.
• Competitive compensation and flexible work culture.

Interested?

https://xceedance.darwinbox.in/jobs/jobsdetailed/id/a6901dae13450f/grp_company/a652918418b965