Gen AI Solution Expert (Python)
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Job Location:
Monthly Salary:
Experience Required:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
You will join the Digital Services team to architect prototype and productionize Generative AI solutions that add value across companies instrument and digital product portfolio (e.g. data-driven insights from analyzers intelligent documentation RAG chatbots for product support). Youll work end-to-end data pipelines model training/fine-tuning MLOps and API deployment.
Key responsibilities -
Design and implement GenAI/NLP solutions (chatbots summarization extraction RAG pipelines).
Build data ingestion and preprocessing pipelines for instrument telemetry lab results and business data.
Fine-tune and evaluate LLMs using frameworks such as Hugging Face Transformers and implement prompt engineering best practices.
Implement vector search RAG workflows using vector DBs (FAISS Weaviate Pinecone or similar).
Package models as microservices and deploy to cloud (AWS/GCP/Azure) or on-premise as required.
Collaborate with product hardware and QA teams to integrate AI features into web/mobile and embedded systems.
Create monitoring logging and retraining strategies (ML monitoring data drift detection).
Produce technical documentation and train internal stakeholders on solution usage.
Requirements
Minimum 5 years hands-on GenAI/NLP/LLM work
Strong Python expertise; hands-on with PyTorch and/or TensorFlow.
Experience with Transformers (Hugging Face) LLM fine-tuning and prompt engineering.
Familiarity with vector databases and retrieval augmentation (RAG).
Experience deploying models as scalable APIs (FastAPI/Flask Docker Kubernetes).
Solid data engineering skills (ETL SQL pandas streaming an advantage).
Experience with MLOps tools (MLflow DVC Kubeflow or equivalent).
Good software engineering practices (unit tests CI/CD code reviews).
Required Education:
MBA HR
Company Industry
IT Services and IT Consulting
Key Skills
- Sales Experience
- ADAS
- Customer Service
- AI
- Computer Skills
- Retail Sales
- Product Demos
- Automotive Diagnostics
- Automotive Repair
- Business requirements
- Cash Handling
- Enterprise Sales
