Strategic Data Science Professional

4 days ago

bangalore, India beBeeSoftware Full time

Job Title: Sr Staff Engineer AgenticA leading retail organization seeks an exceptional Staff Engineer to join its technology team. This is a highly impactful role that requires expertise in AI, data science, and software development.Key Responsibilities:Lead full-stack development of AI-powered products, from EDA to model development, agentic systems, and frontend development (React).Architect and implement agent-based systems using OpenAI Response API, LangX, AutoGPT, or custom frameworks.Design and deploy systems incorporating LLMs, including fine-tuning, model evaluations, prompt engineering, and retrieval-augmented generation (RAG).Apply advanced data science techniques, optimization methods, and real-world use cases in pricing, discounting, and promotions.Conduct thorough exploratory data analysis (EDA) to inform data hypotheses and model development.Develop and maintain production-ready ML pipelines, APIs (FastAPI/Flask), and data services with scalable performance.Drive engineering best practices across model deployment, CI/CD, containerization, and cloud services.Mentor junior AI Engineers, providing feedback, guidance, and support on modeling and coding best practices.Requirements:Minimum 10+ years of experience in data science and ML engineering.Demonstrated success shipping at least two customer-facing AI or data products at scale.Expertise in agent development, leveraging modern orchestration tools like LangX or equivalent.Deep hands-on experience with LLMs, including fine-tuning, RAG, and embedding-based retrieval.Strong command of optimization methods, especially in domains like pricing or inventory.Advanced skills in conventional ML algorithms, with strong intuition around their strengths, weaknesses, and trade-offs.Proficiency in Python, SQL, and ML/DS libraries (e.g., Scikit-learn, PyTorch, TensorFlow, Spark).Experience with cloud services (AWS, GCP, or Azure), Docker, and MLOps tools (MLflow, Airflow, etc.).Strong exploratory data analysis skills and the ability to extract and communicate actionable insights.Competencies:Compassionate and kind, showing courtesy, dignity, and respect.Integrity in what is done and how it is done - without sacrificing personal/business ethics.Inclusion-focused mindset, seeking input from others on their work and encouraging the open expression of diverse ideas and opinions.Team-oriented, positively contributing to team morale and willing to help.Learning-Focused, finding ways to improve in their field and use positive constructive feedback to grow personally and professionally.

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