Experienced with MLflow and model lifecycle management
Understanding of latest-generation AI concepts including LLMs and retrieval-augmented generation (RAG)
Skilled in designing end-to-end ML pipelines
Familiar with ethical considerations in AI
Responsibilities
Apply data science to solve compelling business problems
Collaborate with clients to translate business needs into analytics solutions
Present analytic solutions emphasizing their business value
Create efficient and sustainable end-to-end solutions
Develop machine learning and Generative AI applications using RAG
Build and manage LLM-powered applications utilizing Azure OpenAI
Create agentic AI workflows for automation and decision support
Implement Document Intelligence solutions for unstructured data insights
Benefits
Significant career development opportunities
Join a small, fast-growing, and entrepreneurial environment
High degree of individual responsibility
Full Job Description
We are seeking a highly skilled and experienced Lead Data Scientist with strong expertise in GenAI modelling. The ideal candidate will have a proven track record of designing, developing, and deploying scalable GenAI solutions, while leading projects and mentoring teams. This role requires deep technical expertise, hands-on coding experience, and the ability to collaborate closely with clients and stakeholders to translate business needs into robust analytical solutions.
Responsibilities:
Work on the latest applications of data science to solve business problems
Work directly with client stakeholders to translate business problems into high level analytics solution designs
Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value
Develop end-to-end solutions based on in-depth understanding of business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably
Design and develop machine learning and Generative AI solutions using RAG
Build LLM-powered applications leveraging Azure OpenAI and orchestrate workflows using LangGraph
Develop agentic AI workflows for automation, insights generation, and decision support
Implement Document Intelligence solutions for extracting insights from unstructured data
Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights
Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytic solution
Requirements
6+ years of experience working as a GenAI Data Science.
Proficiency in Python and SQL
Experience with MLflow and model lifecycle management
Experience with Python from a functional programming paradigm, able to manage dependencies and virtual environments, along with version control in git
Generative AI Knowledge: Solid understanding of latest-generation AI concepts including LLMs, prompt engineering, retrieval-augmented generation (RAG), and other contemporary generative AI applications
Experience with sequential algorithms (e.g., LSTM, RNN, transformer, etc.)
Experience with Bedrock, JumpStart, HuggingFace
Experience evaluating ethical implications of AI and controlling for them (e.g., red-teaming)
Expertise in supervised learning and unsupervised learning along with experience in deep learning and transfer learning
Experience in generative algorithms (e.g., GAN, VAE, etc.) as well as pre-trained models (e.g., LLaMa, SAM, etc.)
Experience developing models from inception to deployment 5-10 years of professional work experience with at least 5 years in Data Science.
Experience building end-to-end ML pipelines in production
Familiarity with CI/CD pipelines, monitoring, and model governance
Ability to design scalable and reliable AI systems
Bachelor's in Business Analytics or equivalent work experience.
Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
About Tiger Analytics
Tiger Analytics is a consulting firm that provides data analytics consulting services to businesses. The company specializes in data science, machine learning, and artificial intelligence. Tiger Analytics helps businesses to leverage data to make better decisions, improve operations, and drive growth. The company has worked with clients in a variety of industries, including healthcare, retail, finance, and technology.
