Data Scientist

1 week ago

Bengaluru India Bristlecone Full time

Job Description Job Description - Solution Architecture & Design - Lead the design and development of advanced AI solutions leveraging LLMs, GenAI models, AI agents, and hybrid AI approaches. - Architect scalable, secure, and efficient AI systems integrating traditional ML with emerging Generative AI capabilities. - Ensure AI solutions align with enterprise-grade performance, compliance, and ethical AI standards. - Thought Leadership & Innovation - Act as a subject matter expert (SME) in Generative AI, LLMs, and Agentic AI; contribute to technical strategy and AI roadmaps. - Represent the organization in conferences, whitepapers, patents, and client discussions as a recognized AI thought leader. - Explore, evaluate, and integrate cutting-edge research, frameworks, and toolkits in AI and ML. - Engineering & Delivery - Provide hands-on guidance for model fine-tuning, prompt engineering, multi-agent orchestration, and system optimization. - Lead proof-of-concept (PoC) development and transition of AI solutions into production. - Collaborate with product managers, data scientists, engineers, and stakeholders to deliver enterprise-ready AI solutions. - Mentorship & Leadership - Mentor and guide engineering teams on best practices in AI solutioning, research translation, and applied engineering. - Foster a culture of innovation, experimentation, and continuous learning within the AI/ML engineering group. Responsibilities - Experience: 810 years in Artificial Intelligence and Machine Learning, with 34 years dedicated to Generative AI, LLMs, and Agentic AI. - Technical Expertise: - Strong understanding of LLM architectures (e.g., GPT, LLaMA, Mistral, Claude, Gemini, etc.), fine-tuning, and deployment. - Experience in AI agent frameworks, multi-agent systems, and orchestration tools. - Solid background in machine learning algorithms, deep learning, NLP, computer vision, and reinforcement learning. - Proficiency in Python, PyTorch, TensorFlow, Hugging Face, LangChain, vector databases, and cloud AI platforms (AWS, Azure, GCP). - Leadership Skills: Proven track record of architecting AI solutions at scale and leading cross-functional teams. - Research & Innovation: Demonstrated ability to stay ahead of AI trends and convert emerging techniques into practical solutions. - Strong communication skills with the ability to articulate AI concepts to both technical and executive stakeholders. Qualifications - Experience: 810 years in Artificial Intelligence and Machine Learning, with 34 years dedicated to Generative AI, LLMs, and Agentic AI. - Technical Expertise: - Strong understanding of LLM architectures (e.g., GPT, LLaMA, Mistral, Claude, Gemini, etc.), fine-tuning, and deployment. - Experience in AI agent frameworks, multi-agent systems, and orchestration tools. - Solid background in machine learning algorithms, deep learning, NLP, computer vision, and reinforcement learning. - Proficiency in Python, PyTorch, TensorFlow, Hugging Face, LangChain, vector databases, and cloud AI platforms (AWS, Azure, GCP). - Leadership Skills: Proven track record of architecting AI solutions at scale and leading cross-functional teams. - Research & Innovation: Demonstrated ability to stay ahead of AI trends and convert emerging techniques into practical solutions. - Strong communication skills with the ability to articulate AI concepts to both technical and executive stakeholders.

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