Senior Data Scientist - AI Engineering

Blend360 India; Hyderabad; On-site; INR 2,000,000 - 3,600,000; Full time

Benefits offered by this job

Competitive Salary

Dynamic Career Growth

Idea Tanks

Growth Chats

Snack Zone

Recognition & Rewards

Certifications

Job summary

Blend360 India seeks a Senior Data Scientist - AI Engineering to design, build, and operationalize agentic AI systems for marketing analytics. You will deliver production-grade LLM agents, tools, and pipelines, focusing on reliability, scalability, and guardrails.

This hands-on role emphasizes practical implementation over research. You will own the end-to-end lifecycle from data extraction to deployment, including CI/CD, containerization, and integration with cloud platforms.

Qualifications

• 4+ years in AI/ML with Generative AI experience
• Hands-on with production-grade LLM agents and tooling
• Experience building and evaluating RAG pipelines
• Proficient in Python and ML frameworks (PyTorch, TF)

Responsibilities

• Design and build agentic AI systems for marketing analytics workflows
• Develop Claude Skills, tools, and function-calling workflows
• Create and maintain RAG pipelines with embeddings and vector stores
• Implement LLMOps: CI/CD, monitoring, testing, and guardrails
• Integrate LLM APIs into production pipelines and multi-agent orchestration
• Write production-grade Python/SQL for data extraction and tooling
• Collaborate with data scientists to embed agentic components into marketing workflows
• Document architecture, prompts, evaluation methods, and rollout plans

Skills

Python

ML frameworks

LLM & Agentic AI

Data science

Education

Master's or PhD in CS/Math/Engineering

Tools

PyTorch

TensorFlow

SQL

Docker/Kubernetes

Job description

We're looking for a Senior Data Scientist - AI Engineering to design, build, and operationalize agentic AI systems for our customers marketing analytics practice. This is a hands-on engineering role focused on building production-grade LLM agents, tools, and pipelines not a research or architecture-strategy role. You'll work as a data scientist to turn LLM/agentic capabilities into deployed, monitored, and reliable systems.

Key Responsibilities:

• Design and build agentic AI systems multi-step, tool-using agents that automate marketing analytics workflows (segmentation narratives, campaign insight generation, reporting, data QA).
• Develop and deploy Claude Skills, custom tools, and function-calling workflows to extend agent capabilities within defined guardrails.
• Build and maintain Retrieval-Augmented Generation (RAG) pipelines chunking, embedding, vector store design, retrieval tuning, and grounding strategies for internal marketing/media data.
• Implement LLM-as-judge and other automated evaluation frameworks to score agent/model outputs for accuracy, hallucination, and consistency at scale.
• Own LLMOps/AIOps practices: prompt versioning, model/version rollout strategy, cost and latency monitoring, output drift detection, and automated regression testing for LLM pipelines.
• Apply MLOps discipline to AI systems — CI/CD for ML/LLM pipelines, containerization (Docker/Kubernetes), experiment tracking (MLflow, W&B), and reproducible deployment across cloud platforms (AWS, GCP, Azure).
• Integrate LLM APIs (Anthropic Claude, OpenAI) into production pipelines, including structured output handling, function/tool calling, and multi-agent orchestration.
• Build evaluation harnesses and guardrails for agentic systems — output validation, safety checks, fallback logic, and human-in-the-loop review points.
• Write clean, production-quality Python and SQL to support data extraction, pipeline development, and agent tooling.
• Collaborate with data scientists to embed agentic/LLM components into existing marketing mix, segmentation, and targeting workflows.
• Document architecture, prompt design decisions, and evaluation methodology for reproducibility and team knowledge-sharing.
• Stay current with the fast-moving agentic AI ecosystem and proactively bring in relevant tools, frameworks, and techniques.

Qualifications

• Atleast 4 years of overall AI/ML experience out if which at least 2years of Generative AI solutions.
• Strong background in applied ML, data science, LLM and Agentic AI Engineering Systems with demonstrated delivery and client facing experience.
• Deep expertise in evaluation design, metrics, and dataset curation for LLM systems.
• Proven experience in model selection and prompt engineering, including structured output and tool-use prompting.
• Strong proficiency in Python and major ML frameworks (PyTorch, TensorFlow, Scikit-learn).
• Strong experience in LLM fine-tuning, RAG Context Engineering, Claude Code, Open AI Codex, Agentic Workflows.
• Strong RAG design choices (chunking, embeddings, retrieval strategies, reranking) and how to evaluate them.
• Must have implemented Agentic AI SDLC
• Working with GenAI on Azure, AWS, or Snowflake involves leveraging cloud-native AI tools—such as Azure OpenAI, AWS Bedrock, or Snowflake Cortex—to build or consume intelligent solutions directly on governed data.
• Experience on vibe coding - such as AntiGravity, Cursor, and VS Code is highly desirable.
• Proven ability to build end-to-end GenAI MVPs in Python (RAG/agents + evaluation harness) and prepare them for production handoff.
• Excellent communication and stakeholder management skills with a strategic mindset.

Additional Information - Thrive & Grow with Us

• Competitive Salary:Your skills and contributions are highly valued here, and we make sure your salary reflects that, rewarding you fairly for the knowledge and experience you bring to the table.
• Dynamic Career Growth:Our vibrant environment offers you the opportunity to grow rapidly, providing the right tools, mentorship, and experiences to fast-track your career.
• Idea Tanks:Innovation lives here. Our "Idea Tanks" are your playground to pitch, experiment, and collaborate on ideas that can shape the future.
• Growth Chats:Dive into our casual "Growth Chats" where you can learn from the best—whether it's over lunch or during a laid-back session with peers, it's the perfect space to grow your skills.
• Snack Zone:Stay fuelled and inspired! In our Snack Zone, you'll find a variety of snacks to keep your energy high and ideas flowing.
• Recognition & Rewards:We believe great work deserves to be recognized. Expect regular Hive-Fives, shoutouts, and the chance to see your ideas come to life as part of our reward program.
• Fuel Your Growth Journey with Certifications:We're all about your growth! Enhance your expertise with company-sponsored certifications in AI, Data Science, Cloud, and Analytics technologies.