Intern - Data Science

You will be responsible for researching and testing novel machine learning approaches to create predictive models and machine learning algorithms that solve core business problems. Your key responsibilities will include: - Understanding complex business problems - Researching, analyzing, and processing structured and unstructured data - Organizing and presenting information using data visualization techniques - Collaborating with engineering and product development teams to build and test ML/DL solutions - Owning the entire life cycle of ML operations from data processing to model training, hyperparameter tuning, deployment, model management, and observability To excel in this role, you should have: - In-depth working knowledge of current ML techniques, both supervised and unsupervised learning techniques - Implementation experience with classification, regression, pattern recognition, reinforcement learning, deep learning, and optimizations - Excellent proficiency in core programming languages like Java, C++, Python - Updated with the latest trends in the machine learning community - Strong math and analytical skills with business acumen Qualifications required for this position include: - Bachelor's degree in engineering Please note that this position falls under the role category of Data Science & Machine Learning in the IT Services & Consulting industry. This is a full-time, permanent employment opportunity in the Data Science & Analytics department. Educational qualifications expected are a B.Tech/B.E. in Any Specialization at the undergraduate level and any postgraduate degree at the postgraduate level. You will be responsible for researching and testing novel machine learning approaches to create predictive models and machine learning algorithms that solve core business problems. Your key responsibilities will include: - Understanding complex business problems - Researching, analyzing, and processing structured and unstructured data - Organizing and presenting information using data visualization techniques - Collaborating with engineering and product development teams to build and test ML/DL solutions - Owning the entire life cycle of ML operations from data processing to model training, hyperparameter tuning, deployment, model management, and observability To excel in this role, you should have: - In-depth working knowledge of current ML techniques, both supervised and unsupervised learning techniques - Implementation experience with classification, regression, pattern recognition, reinforcement learning, deep learning, and optimizations - Excellent proficiency in core programming languages like Java, C++, Python - Updated with the latest trends in the machine learning community - Strong math and analytical skills with business acumen Qualifications required for this position include: - Bachelor's degree in engineering Please note that this position falls under the role category of Data Science & Machine Learning in the IT Services & Consulting industry. This is a full-time, permanent employment opportunity in the Data Science & Analytics department. Educational qualifications expected are a B.Tech/B.E. in Any Specialization at the undergraduate level and any postgraduate degree at the postgraduate level.