Associate – AI/ML Innovation Engineer
On-siteHyderabad, Telangana, India
EXPIREDHyderabad, Telangana, IndiaOn-siteFull TimeEntry LevelEnterprise
Full TimeEntry LevelEnterprise
Job Summary
Build LLM-powered assistants, extract insights from unstructured contracts, and develop anomaly detection models to support commercial decisions within the US Value & Access organization. Implement RAG pipelines, feature engineering workflows, and APIs that integrate structured and unstructured data to power real-time decision platforms. Collaborate with senior data scientists to translate business needs into technical specifications, ensuring scalable AI/ML solutions move from prototype to production. Participate in code reviews and adopt best practices across MLOps and software engineering.
Required Qualifications
- Strong programming skills in Python, PySpark, and SQL
- Solid understanding of Data Structures & Algorithms, OOP, and System Design fundamentals
- Hands-on experience with core Machine Learning techniques (Regression, Classification, Clustering)
- Working knowledge of NLP fundamentals (tokenization, embeddings, transformers)
- Exposure to LLMs (OpenAI, HuggingFace, Anthropic, etc.) and prompt engineering / GenAI workflows
- Experience with data manipulation libraries (Pandas, NumPy) and working with both structured and unstructured data
- Familiarity with REST APIs and backend development basics
- Mandatory hands-on experience with 2–3 real AI/ML projects
- LLM-based chatbot with RAG (document Q&A), AI summarization tools, or agent-based multi-step reasoning systems
- Deployed ML models (API or web app), data pipelines (ETL/ELT)
- Bachelor's or master's degree in computer science, Artificial Intelligence, Data Science, Statistics, Engineering, or other STEM majors
- 1–3 years of hands-on experience in AI/ML, data science, or software engineering roles
- Demonstrated portfolio of AI/ML projects (GitHub, publications, or production deployments)
Desired Qualifications
- Experience with RAG pipelines and vector databases (FAISS, Pinecone, Chroma, Weaviate)
- Hands-on experience with LangChain, LlamaIndex, or agent frameworks (AutoGen, CrewAI)
- Exposure to MLOps tools (Docker, CI/CD, MLflow, Kubeflow, Airflow)
- Knowledge of time-series forecasting and anomaly detection techniques
- Frontend basics (Streamlit, React) for building dashboards and demos
- Familiarity with cloud platforms (AWS, Azure, or GCP)
- Experience with Databricks for data analytics and ML workflows
- Foundational understanding of the US pharmaceutical ecosystem, relevant datasets (e.g., claims, prescription data), and Patient Support Services offerings
- Any AWS / Azure / GCP certification (preferred)
- Any Python, Machine Learning, or GenAI certification (preferred)
- Initiative to explore new technologies and alternate approaches to solving problems
- Strong analytical and troubleshooting skills with the ability to break down complex problems
- Excellent verbal and written communication skills
- Ability to work effectively with global, virtual, cross-functional teams
- High degree of curiosity, initiative, and self-motivation
- Team-oriented mindset with a focus on collective goals
- Ability to manage multiple priorities and learn quickly in a fast-paced environment
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