Agivant Technologies

17 hours ago

Pune, India Agivant Technologies Full time

Description: - We are seeking a Senior/Lead Data Scientist with deep expertise in Data Science, Machine Learning, and Deep Learning to drive innovation and build advanced AI/GenAI/Agentic AI based solutions.- This role involves leading high-impact projects, mentoring teams, and shaping the AI/ML strategy, including contributions to Generative AI applications.- The ideal candidate is both a hands-on technical expert and a thought leader who can bridge the gap between complex AI research and real-world business applications.Key - Lead the design, development, and deployment of end-to-end ML/AI models for solving complex business problems. - Drive deep learning model development (CNNs, RNNs, Transformers, etc.) for diverse domains such as NLP, vision, and multimodal applications. - Experience in Machine Learning, Deep Learning, Python, Tensorflow, Pytorch, Scikit-learn, Time-Series forecasting, MLOps. - Collaborate with cross-functional teams including data engineering, product management, and business stakeholders to translate needs into scalable ML solutions. - Mentor junior data scientists and contribute to building best practices, reusable frameworks, and a culture of innovation. - Stay ahead of emerging ML research and proactively evaluate new Qualifications: - Bachelor or Master Degree in Computer Science, Data Science, or related field. - 5-8 years of hands-on experience in Data Science, ML, and Deep Learning. - Strong expertise in Python, TensorFlow, PyTorch, and Scikit-learn. - Solid foundation in mathematics, statistics, optimization, and probability theory. - Proven track record of building and deploying production ML models at scale. - Experience with cloud platforms (GCP, AWS, or Azure) for ML workflows. - Strong problem-solving, leadership, and communication skills.Good-to-Have Skills: - Knowledge of LLM internals and architectures (transformers, attention mechanisms). - Experience with GenAI ecosystems (LangChain, LlamaIndex, vector databases, RAG pipelines). - Experience with prompt engineering. - Exposure to MLOps practices model monitoring, CI/CD for ML, experiment tracking. - Understanding of responsible practices bias detection, explainability, and governance.Desired Skills and Experience: Data Science, ML Python Pytorch (ref:iimjobs.com)

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