We will count on you to:

- Identify opportunities which add value to the business and make the process more efficient.
- Invest in understand the core business including products, process, documents, and data points with the objective of identifying efficiency and value addition opportunities.
- Design and develop end-to-end NLP/LLM solutions for document parsing, information extraction, and summarization from PDFs and scanned text.
- Develop AI applications to automate manual and repetitive tasks using generative AI and machine learning.
- Fine-tune open-source LLMs (like LLaMA, Mistral, Falcon, or similar) or build custom pipelines using APIs (OpenAI, Anthropic, Azure OpenAI).
- Build custom extraction logic using tools like LangChain, Haystack, Hugging Face Transformers, and OCR libraries like Tesseract or Azure Form Recognizer.
- Create pipelines to convert outputs into formatted Microsoft Word or PDF files using libraries like docx, PDFKit, ReportLab, or LaTeX.
- Collaborate with data engineers and software developers to integrate AI models into production workflows.
- Ensure model performance, accuracy, scalability, and cost-efficiency across business use cases.
- Stay updated with the latest advancements in generative AI, LLMs, and NLP research to identify innovative solutions.
- Design, develop, and maintain robust data pipelines for extracting, transforming, and loading (ETL) data from diverse sources.
- As the operational scales up design and implement scalable data storage solutions and integrate them with existing systems.
- Utilize cloud platforms (AWS, Azure, Google Cloud) for data storage and processing.
- Conduct code reviews and provide mentorship to junior developers.
- Stay up-to-date with the latest technology trends and best practices in data engineering and cloud services.
- Ability to lead initiatives and deliver results by engaging with cross-functional teams and resolving data ambiguity issues.
- Be responsible for the professional development of your projects and institute a succession plan.

What you need to have:





- Bachelors degree in Engineering, Analytics, or a related field, MBA, Computer Applications, IT, Business Analytics, or any discipline.
- Proven experience of 8-12 years in Python development
- Hands-on experience with frameworks and libraries like Transformers, LangChain, PyTorch/TensorFlow, spaCy, Hugging Face, and Haystack.
- Strong expertise in document parsing, OCR (Tesseract, AWS Textract, Azure Form Recognizer), and entity extraction.
- Proficiency in Python and familiarity with cloud-based environments (Azure, AWS, GCP).
- Experience deploying models as APIs/microservices using FastAPI, Flask, or similar.
- Familiarity with PDF parsing libraries (PDFMiner, PyMuPDF, Apache PDFBox) and Word generation libraries (python-docx, PDFKit).
- Solid understanding of prompt engineering and prompt-tuning techniques.
- Proven experience with data automation and building data pipelines.
- Proven track record in building and maintaining data pipelines and ETL processes.
- Strong knowledge of Python libraries such as Pandas, NumPy, and PySpark, Camelot.
- Familiarity with database management systems (SQL and NoSQL databases).
- Experience in designing and implementing system architecture.
- Ability to operate in a multi layered technology architecture and shape the technology maturity of the organization.
- Solid understanding of software development best practices, including version control (Git), code reviews, and testing frameworks (PyTest, UnitTest).
- Strong attention to detail and ability to work with complex data sets.
- Effective communication skills to present findings and insights to both technical and non-technical stakeholders. Specify superior listening, verbal and written communication skills
- Excellent project management and organization skills
- Superlative stakeholder management skills - ability to positively influence stakeholders.
- Synthesis skills- Ability to connect the dots and answer the business question.
- Excellent problem-solving, structuring and critical-thinking skills.
- Ability to work independently and collaboratively in a rapid-paced environment.

📌 Senior Manager - Data Science (Mumbai)
🏢 Oliver Wyman
📍 Mumbai