Data Scientist

Our vision is to become the world's most sought-after niche digital transformation company that helps customers realize value through innovation. Our mission is to co-create success with our customers, partners and community. You welcome diversity at work and within the greater community. You aren't afraid to take risks. You thrive upon continuing education programs that your company sponsors to strengthen your skills and for you to become a thought leader ahead of the industry curve. You are excited about creating change because your skills can help the greater good of every customer, industry and community. We are hiring a talented Junior Data Scientist & Agentic AI Developer to join our team. Experience - 3 to 5 years We are seeking a capable Data Scientist and Agentic AI Developer to independently design, develop, and evaluate intelligent AI agents. This role requires hands-on delivery of production-ready agentic systems with robust evaluation frameworks and measurable quality outcomes. Experience Required 3-5 years of professional experience in data science, machine learning, and AI development with demonstrated project delivery AI Agent Development & Delivery Independently design and develop production-grade agentic AI systems using Large Language Models Integrate external tools, APIs, and databases into functional agent systems Deliver scalable, reliable AI agents that meet performance benchmarks Own the complete development lifecycle from design to deployment Evaluation Framework Implementation Build comprehensive evaluation systems using LLM-as-a-judge methodologies Develop and deploy automated scoring pipelines for all quality metrics (correctness, helpfulness, coherence, relevance, simplicity, collaborativity) Create custom evaluator code for overall response quality assessment Set up monitoring dashboards for real-time performance tracking Performance & Efficiency Optimization Data Science & Analytics Delivery Conduct statistical analysis on agent performance data and user interactions Deliver data-driven insights that drive product decisions Safety, Ethics & Compliance Implementation Build harmful content filtering and safety guardrails Develop and deploy compliance monitoring for EU AI Act, GDPR, HIPAA, DPDP standards Programming : Strong Python skills with production code experience; advanced SQL LLM Development : Proven experience building applications with GPT, Claude, or similar models Hands-on experience with LangChain, LangSmith, Phoenix, or equivalent agent frameworks Evaluation Tools : Experience implementing RAGAs or similar evaluation frameworks MLOps : Experience deploying ML models to production and monitoring performance Strong experience with REST APIs, webhooks, and system integration Vector Databases : Proven Delivery Experience Track record of shipping AI/ML products or features to production Experience building end-to-end evaluation pipelines independently Demonstrated ability to optimize model performance and reduce costs Portfolio of completed projects with measurable business impact Experience working with observability and monitoring tools Deep understanding of prompt engineering and LLM behavior optimization Knowledge of agentic architectures, tool calling, and multi-step reasoning Experience with conversational AI systems and dialogue management Familiarity with AI safety principles and alignment techniques Data-driven decision making with statistical rigor Performance optimization mindset Self-driven with minimal supervision required Clear communication of technical concepts to non-technical stakeholders Must Have Experience With LangChain or LangGraph (production experience) Monitoring : LLM APIs : OpenAI, Anthropic, or Azure OpenAI Databases : PostgreSQL/MySQL + vector databases Cloud : AWS, Azure, or GCP deployment experience DevOps : Docker, CI/CD pipelines, Git workflows Python libraries: pandas, numpy, scikit-learn, matplotlib Data visualization: Plotly, Streamlit, or Tableau FastAPI or Flask Testing frameworks: pytest, unit testing, integration testing Make technical decisions within project scope Own quality of your deliverables end-to-end Participate in on-call rotation for production support Maintain high code quality and documentation standards Bachelor's or Master's in Computer Science, Data Science, or related field Experience with RLHF (Reinforcement Learning from Human Feedback) Experience with multi-modal AI systems