Lead Data Scientist

2 weeks ago

Dallas, United States Birlasoft Full time

The Possibilities are Endless When You Challenge The Norm


Birlasoft, a powerhouse where domain expertise, enterprise solutions, and digital technologies converge to redefine business processes. We take pride in our consultative and design thinking approach, driving societal progress by enabling our customers to run businesses with unmatched efficiency and innovation. As part of the CK Birla Group, a multibillion-dollar enterprise, we boast a 12,500+ professional team committed to upholding the Group's 162-year legacy. Our core values prioritize Diversity, Equity, and Inclusion (DEI) initiatives, along with Corporate Sustainable Responsibility (CSR) activities, demonstrating our dedication to building inclusive and sustainable communities. Join us in shaping a future where technology seamlessly aligns with purpose.


Job Details:


  • 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.
  • Bachelor's Degree with 12+ years of experience; Master's Degree with 10+ years of experience


Benefits:


  • Competitive salary and bonus structure
  • Comprehensive benefits package including health, dental, and retirement plans
  • Opportunities for career growth and development
  • Collaborative and innovative work environment
  • Flexible work arrangements

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