Senior Manager - Data Science

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 fast-paced environment. Skills: Numpy Experience: 8.00-12.00 Years