Hi
This is Aniket Chaurasiya. I am a staffing specialist and I reached out to you for an exciting opportunity with our client.
Position: Lead Data Scientist
Location – Dallas, TX (Onsite)
Expectations
- Lead GenerativeAI and AI/ML engagements with Clients including solution design, development and deployment.
- Interface with client stakeholders to understand their requirements, propose solution options and drive decisions
- Lead and mentor a team of data scientists, BI developers and data engineers to deliver AI/ML programs
- Be the face of our Generative AI capabilities for clients in BFSI domain. Proactively work with Client Partners to grow Generative AI footprint in our clients and position Birlasoft as a leading solution provider in this space. Actively search for opportunities to expand business within existing accounts and help win new clients.
- Experience in Banking, Insurance and / or Capital Market (BFSI) domain is preferable
- Building new technology capabilities, and building team competencies
- Ability to communicate technical concepts and solutions at a level appropriate for technical and non-technical audiences.
- Ability to work effectively in a dynamic, research-oriented group that has several concurrent projects.
Technical Skills
- Bachelor’s Degree with 12+ years of experience; Master’s Degree with 10+ years of experience
- Proven experience as Lead Data Scientist / Principal Data Scientist with a focus on AI/ML and Generative AI.
- Strong understanding of generative AI techniques, including deep generative models, autoregressive models, and reinforcement learning for generative tasks.
- Hands-on experience of machine learning methodologies including advanced analytics tools (such as R and Python) along with applied mathematics, ML and Deep Learning frameworks and libraries (TensorFlow, PyTorch, Keras) and ML techniques.
- At least 7+ years of hands-on experience with building machine learning and AI models leveraging industry tools, products, and / or Azure cognitive services.
- Deep and hands-on expertise in (as an individual contributor) Undertaking data collection, Data mining, preprocessing and analysis of structured and unstructured data.
- Hands-on expertise in large language models (LLMs/LSTMs/BERT) that can perform complex reasoning in few- and zero-shot settings by generating intermediate chain of thought (CoT) reasoning steps
- Experience of building / customizing and fine-tuning AI models including LLM models via OpenAI (Azure)/ Bert (AWS) for rapid PoCs
- Experience on LLM Model Governance, LLMSecOps, Hallucination and bias handling
- Deep and hands-on experience in applying machine learning algorithms.
- Strong data science and data engineering background both with open source and cloud distributed machines learning and AI tools especially Azure Cognitive Services, Azure Machine Learning and AWS Sagemaker and Bedrocks
- Strong understanding of Azure cloud technology including Cognitive Services viz. Vision, Speech, Language, Decision, Search and GenAI and its implementation
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