Associate Divisional Manager - Data Sciences

As an AI/ML Product Designer at our company, your role involves designing and building AI/ML products at scale to enhance customer Understanding & Sentiment analysis, recommend customer requirements, suggest optimal inputs, and improve the efficiency of processes. You will collaborate with product owners and business stakeholders to achieve these goals. Key Responsibilities: - Lead a team of junior and experienced data scientists - Lead and participate in end-to-end ML project deployments, including feasibility analysis, design, development, validation, and application of state-of-the-art data science solutions - Push the boundaries of data science applications by utilizing data mining, visualization, predictive modeling, statistics, trend analysis, and other techniques to solve complex business problems - Utilize NLP, LLM, OCR, image-based models, and Deep Learning Neural networks for text mining, speech, and object recognition use cases - Identify future development needs, explore new ML and AI technologies, and define the strategy for the data science team - Cultivate a product-centric, results-driven data science organization - Write production-ready code, deploy real-time ML models, and expose ML outputs through APIs - Collaborate with data/ML engineers and vendor partners for input data pipes development and automation of ML models - Provide leadership to establish world-class ML lifecycle management processes Qualifications: - MTech / BE / BTech / MSc in CS, Stats, or Maths Experience Required: - Over 10 years of Applied Machine learning experience in various fields including Machine Learning, Statistical Modelling, Predictive Modelling, Text Mining, NLP, LLM, OCR, Image-based models, Deep learning, and Optimization - Expertise in Python programming, SQL, C#, and proficiency with the SciPy stack (e.g., numpy, pandas, sci-kit learn, matplotlib) - Proficiency in working with open-source deep learning platforms like TensorFlow, Keras, and Pytorch - Knowledge of the Big Data Ecosystem: Apache Spark, Hadoop, Hive, EMR, MapReduce - Proficient in Cloud Technologies and Services such as Azure Databricks, ADF, Databricks MLflow Functional Competencies: - Ability to mentor junior data scientists and collaborate effectively in work environments with external customers - Proficient in communicating technical findings to non-technical stakeholders - Conduct routine peer code reviews of ML work within the team - Experience in leading and/or collaborating with small to midsized teams - Skilled in building scalable and highly available distributed systems in production - Experienced in ML lifecycle management and ML Ops tools & frameworks Join our team to drive innovation and make a significant impact in the AI/ML domain!,