AI/ML Engineer – Pharma & Legal Document Intelligence Experience : 3 years to 5 years Location: Rajkot (Gujarat) / Hyderabad Hiring 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.
Key Responsibilities: Execute ASO strategies to improve app visibility, keyword rankings, and organic downloads. Optimize app titles, descriptions, keywords, screenshots, icons, and other metadata for Google Play and App Store listings. Perform in-depth keyword research to identify high-traffic, relevant terms. Update and refine keyword strategy based on performance and trends. Track app performance using tools like Google Play Console, App Store Connect, Sensor Tower, or Mobile Action. Generate regular reports on keyword rankings, installs, impressions, and conversion rates. Assist in running A/B tests on store creatives (screenshots, videos, icons) to improve conversion rates. Monitor and analyze competitors' apps and ASO strategies to identify growth opportunities. Monitor user reviews and ratings, and collaborate with the support team to respond or resolve issues. Suggest improvements to enhance user experience and satisfaction. Work closely with the content, design, product, and marketing teams to align app store strategies with broader marketing efforts. Provide ASO input during app launches or major updates. Keep up with the latest trends, updates, and algorithm changes in app stores and the mobile app industry. Qualifications: 1–3 years of proven experience in ASO or mobile app marketing. Familiarity with ASO tools such as Sensor Tower, AppTweak, Mobile Action, etc. Understanding of app store algorithms, ranking factors, and best practices for both iOS and Android. Experience using Google Play Console and App Store Connect. Basic knowledge of mobile analytics platforms (e.g., Firebase, Appsflyer) is a plus. Strong analytical skills and attention to detail. Ability to work independently as well as collaboratively in a team environment. Good communication and organizational skills. Bachelor’s degree in Marketing, Business, IT, or a related field.