Senior Data Science Specialist

Experience: 4 to 6 years

Location: Chennai, India

Skills: Python, GCP, Vertex AI, AI evaluation methods, Precision, Recall, F1 score, Agentic AI, Google ADK, LLM Tuning, SFT, COT, ReAct, Data Analysis, Root Cause Analysis, Interrupt & Resume patterns, Teamwork, Problem-solving, Analytical skills, A2A, MCP, CICD pipeline, Knowledge Graphs, Memory bank

Job Summary
To lead the development of advanced data science solutions, drive innovation in AI and machine learning, and leverage data-driven insights to optimize business strategies and decision-making. JD - Partner Resources - Agentic AI Development
Project Brief
● Project description: The system utilizes specialized LLM agents—orchestrated via an Agent Development Kit (ADK)—to perform automated data retrieval, multi-step logical reasoning, and hypothesis validation. This platform integrates 'Human-in-the-Loop' protocols to ensure that autonomous actions remain aligned with organizational safety and accuracy standards, transforming how the enterprise interacts with complex data silos.
● Role: AI Engineer specializing in Agentic AI
Responsibilities
● Design and implement sophisticated Multi-Agent Systems (MAS) using frameworks like the Agent Development Kit (ADK) to solve complex, multi-step reasoning tasks.
● Architect "Human-in-the-Loop" (HITL) workflows, ensuring seamless hand-offs between autonomous agents and human subject matter experts for critical decision-making.
● Implement advanced reasoning patterns such as Chain-of-Thought (CoT), ReAct, and Self-Reflection to improve the reliability and transparency of agentic outputs.




● Optimize long-context window utilization for analyzing vast datasets, ensuring agents maintain coherence and accuracy when processing millions of tokens.
● Establish rigorous AI Evaluation (Eval) frameworks to measure agent performance, including trajectory analysis, precision, recall, and faithfulness of reasoning.
Must-Have Skills
● Solid understanding of Python programming
● Experience in GCP projects and Vertex AI is a must.
● AI evaluation methods/metrics (like Precision, Recall, and F1 score for agent trajectories and defect classification accuracy).
● Experience with Agentic AI, managing sequential and loop-based workflows, specifically using Google ADK or similar.
● Familiarity with LLM Tuning (SFT, COT, ReAct)
● Experience in Data Analysis and process with multi-agent architectures.
● Ability to debug and perform Root Cause Analysis (RCA) for issues.
● Ability to deploy agents.
● Familiarity for implementing "Interrupt & Resume" patterns for human expert validation.
● Strong communication and teamwork skills, especially in the context of customer collaboration.
Valuable-to-Have Skills
● Excellent problem-solving and analytical skills related to AI integration challenges specific to customer needs.
● Experience in A2A,



MCP for multi-agent interaction.
● CICD pipeline for Multi Agents framework
● Experience integrating LLMs with Knowledge Graphs
● Using a memory bank for agent-to-agent communication.
Qualifications and Prior Experience
● 4-6+ years of experience in AI development, preferably on Google Cloud Platform.
● Experience on building Agents, using Google ADK.
● Experience in developing and deploying AI Solutions within an agent-based framework/Application
● Experience/Familiarity with Agile development.
Certifications and Trainings:
● Professional Machine Learning Engineer.
● Google Skill Boost labs/course
Key Responsibilities
1. Lead the design and deployment of advanced machine learning models, AI solutions, and predictive analytics.
2. Develop and refine complex algorithms for large-scale data processing, feature engineering, and pattern recognition.
3. Conduct deep exploratory data analysis, visualization, and statistical modeling to extract actionable insights.
4. Partner with business and technology leaders to integrate data-driven solutions into enterprise strategies.
5. Implement deep learning, natural language processing, and big data technologies to enhance analytics capabilities.
6. Drive data governance, model interpretability, and ethical AI practices for responsible data science implementation.
7. Optimize, automate, and scale data science pipelines for improved operational efficiency and impact.
8. Mentor junior data scientists, foster a data-driven culture, and stay ahead of emerging trends in AI and analytics.

📌 Senior Data Science Specialist (Chennai)
🏢 HCL Technologies
📍 Chennai