Skills : AI/ML, Python, SQL, and PySpark,Databricks

Your Impact
Agentic System Architecture: Design and deploy sophisticated AI Agents capable of multi-step planning and autonomous tool-use (e.g., executing Python scripts, SQL queries, or ML models) to solve open-ended engineering questions.
Algorithmic Orchestration: Enable agents to select and apply the right analytical methods-ranging from Time-Series Plotting and Anomaly Detection to Frequent Pattern Mining and Load Spectra Comparison-based on natural language intent.
Strategic Model Benchmarking: Lead the evaluation of Open Source (e.g., Llama, Mistral) vs. Cloud-Native (e.g., GPT-4, Claude) models. Define the "pros and cons" for our stack, balancing latency, privacy, and cost.
Unified Intelligence Synthesis: Pioneer the integration of structured telemetry (high-frequency sensors) with unstructured knowledge (field issue reports, manuals, dealer comments) using RAG and multimodal embeddings.
Architectural Decision Making: Advise on the "Build vs. Buy" roadmap. Identify when to leverage managed platforms (e.g., Databricks Mosaic) versus when to transition to self-hosted, fine-tuned models.

Your Experience and Qualifications
Quantitative Expertise: 7+ years of skilled experience (PhD preferred) navigating complex,



large-scale industrial datasets.
Agentic AI & LLM Proficiency: Deep experience with orchestration frameworks (e.g., LangChain, LlamaIndex, CrewAI) and building autonomous "Plan-and-Execute" loops.
Advanced Analytics Mastery: Robust command of Python, SQL, and PySpark. Proven ability to implement diverse algorithms: from time-series analysis and frequent itemset mining to statistical load distributions.
Deployment Versatility: Hands-on experience with both Cloud-Native AI services (Databricks) and Open Source serving stacks (e.g., Ollama) within private VPCs.
Data Security Mindset: A strong understanding of security regarding "data-out" vs. "data-in" models, with a focus on protecting sensitive industrial data.
Big Data Provenance: Extensive experience in Big Data ecosystems, managing high-velocity streams and distributed computing.

Language: Fluency in English is required; German language skills are a robust

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Data Science Professional Pune
🏢 PSRTEK
📍 Pune