Data Scientist(0217)

Job Description

Lead the design, development, and deployment of advanced machine learning models and algorithms. Train and fine-tune generative models on large datasets, optimizing model performance and efficiency. Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and generative AI libraries., Understanding of C++ programming principles. Experience of developing and deploying solutions on Nvidia or Intel software stacks will be an added advantage. Excellent problem-solving skills and the ability to work on complex, unstructured challenges. Proficient Understanding of distributed Computing Principles. Working knowledge of frameworks such as accelerate, deepspeed, etc. Experience with hiring, mentoring and leading teams of ML engineers, data engineers, etc. Conduct in-depth data analysis, feature engineering, and data preprocessing to extract meaningful insights. Develop and execute data strategies to collect, process, and store data effectively. Work closely with data engineers and architects to ensure data availability and quality. Collaborate with cross-functional teams to develop AI-powered solutions that address business challenges and opportunities. Ensure the successful integration of AI models into production systems. Stay up-to-date with the latest trends and advancements in data science and AI. Drive research initiatives to explore and implement innovative techniques and technologies. Lead research initiatives to develop novel AI techniques and technologies. Communicate findings, insights, and project progress to non-technical stakeholders in a clear and understandable manner. Publications or contributions to the field of CV, NLP or generative AI are a plus.