Senior Data Scientist

7 days ago

Pune, Maharashtra, India Prometheus Consulting Services. Full time

Hi Folks.... We are Hiring .... Experience- 5+ Years Location - Pune Work Mode - Hybrid Key Requirements & Responsibilities Lead the research, development, and fine-tuning of state-of-the-art LLMs and NLP models for real-world applications. Perform in-depth data analysis to extract actionable insights, improve model performance, and inform AI strategy. Design, implement, and evaluate LLM based systems to ensure model performance, efficiency, and scalability. Mentor and coach junior data scientists, fostering best practices in NLP, deep learning, and MLOps. Deploy and monitor models in production, ensuring robust performance, fairness, and explainability in AI applications. Stay ahead of advancements in NLP, generative AI, and ethical AI practices, incorporating them into our solutions. Ensure compliance with Responsible AI principles, aligning with industry standards and regulations such as the EU AI Act and Canada's Voluntary Code of Conduct on Responsible AI. Collaborate with engineering and product teams to integrate AI-driven features into SaaS products. Be curious and not afraid to try unconventional ideas to find solutions to difficult problems Apply engineering principles to proactively identify issues, develop solutions, and recommend improvements Be self-motivated and highly proactive at exploring new technologies Find creative solutions to challenges involving data that is difficult to obtain, complex or ambiguous. Manage multiple concurrent projects, priorities and timelines Be familiar with corporate security policies and follow the guidance set out by processes and procedures Your Knowledge, Skills and Abilities PhD (preferred) or Masters in Machine Learning, AI, NLP, or a related field, with a strong publication record in top-tier conferences and journals. Industry experience (2+ for PhD, 5+ for Masters) in building and deploying NLP/LLM solutions at scale. Proven ability to analyze large datasets, extract meaningful insights, and drive data-informed decision-making. Strong expertise in preparing data for fine-tuning and optimizing LLMs. Solid understanding of data engineering concepts, including data pipelines, feature engineering, and vector databases. Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow) and NLP libraries (e.g., Hugging Face Transformers, spaCy). Solid working knowledge of AWS systems and services; comfort working with SageMaker, Bedrock, EC2, S3, Lambda, Terraform. Familiar with MLOps best practices, including model versioning, monitoring, and CI/CD pipelines. Excellent organizational skills and ability to manage multiple priorities and timelines You're a great team player, constantly looking to support your teammates on their mission of building great data products. Strong problem-solving skills, with the ability to translate business problems into AI solutions. Excellent communication and leadership skills, with experience mentoring and guiding technical teams, as well as collaborating with cross-functional teams including engineering and product stakeholders to align AI solutions with business objectives and best engineering practices. Interested candidates can mail at - geet.prometheus@gmail.com

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