Artificial Intelligence Engineer

4 weeks ago

New Delhi, India Websmith Solutions Full time

AI/ML Engineer – Pharma & Legal Document IntelligenceExperience : 3 years to 5 yearsLocation: Rajkot (Gujarat) / HyderabadHiring Type : Contract-to-Hire (Initial contract for 6 Months)About the Role We at Websmith Solutions are hiring an AI/ML Engineer to design and deploy advanced pharma & legal document intelligence systems. You will leverage Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to transform patents, molecule structures, regulatory filings, and legal documents into structured, queryable knowledge. The role combines document AI, data engineering, model training, and production deployment.Key Responsibilities • Build AI pipelines to parse, summarize, and classify pharma/legal PDFs (patents, molecule structures, court filings). • Work with SMEs to extract key insights and build chatbots for interactive Q&A. • Clean and integrate Excel/raw datasets into a central master database. • Automate ingestion of fresh data from FDA portals, government, and legal websites. • Customize and fine-tune LLMs on domain-specific data, ensuring high accuracy. • Deploy and monitor models in production with scalability, reliability, and compliance in mind.Required Technical Expertise • Programming & ML Frameworks: Advanced Python, PyTorch/TensorFlow, HuggingFace Transformers, LangChain / LlamaIndex. • Document Parsing & OCR: PyMuPDF, pdfminer.six, Apache Tika, Tesseract. • NLP & RAG: embeddings (OpenAI, HuggingFace), vector DBs (FAISS, Pinecone, Weaviate, Milvus), chunking strategies. • Data Engineering: ETL pipelines, SQL + NoSQL (Postgres, MongoDB), Excel/CSV cleaning & schema design. • Model Training: fine-tuning transformers, LoRA/PEFT for efficient domain adaptation, dataset annotation/validation.Nice-to-Have • Deployment & MLOps: FastAPI/Flask for serving, Docker/Kubernetes for scaling, AWS SageMaker / GCP Vertex AI / Azure ML, MLflow or Kubeflow for monitoring. • Compliance & Security: secure APIs, encryption, pharma/legal data privacy standards. • Familiarity with chemical/molecule data formats (SMILES, InChI, RDKit). • Background in pharma, biotech, or legal domains. • Prior experience with sensitive, regulated datasets.Why Join? • Work on cutting-edge LLM + RAG projects applied to real-world pharma & legal problems. • Opportunity to own the end-to-end lifecycle: ingestion → training → deployment → monitoring. • Collaborate with experts across AI, pharma, and legal domains.

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