Data Scientist (AI + ML)
Role brief :
- The candidate will be part of the Advanced Analytics Center of excellence team and contribute towards the development of next-gen AI capabilities to solve complex business problems.
- Leverage technical and analytical expertise in Machine Learning and Artificial intelligence to build next-gen advanced analytics capabilities
- Apply expertise in computer science, software development, and the latest technologies to design and implement algorithms infrastructure and tools, analytic workflow processes, and platforms that solve complex business problems.
- Leverage knowledge of mathematical and statistical concepts and computer science expertise to bridge the gap between technologists and mathematicians and ensure that software solutions meet analytic requirements.
- Manage responsibility across the entire life cycle, including requirements gathering and analysis, process and systems definition, algorithm design and development, capabilities to clients in a format, they can digest.
Must-Have :- The ideal candidate must have proven expertise in Artificial Intelligence, Machine Learning, deep learning, and reinforcement learning exclusively for 3+ years
- The candidate must have expertise in programming with machine learning enablement platforms like Python (must) or other open-source platforms, specifically using TensorFlow, Keras, Sci-kit learn, etc.
- Strong understanding of the entire ecosystem of big data platforms like Hadoop, Pig, Hive, AWS
- Strong understanding of statistical concepts behind machine learning and deep learning algorithms
- Experience with next-gen capabilities around the Internet of things, computer vision, robotic process automation, NLP, Speech analytics, Voice-controlled devices, etc.
Qualification :Case 1 : B. E. / B. Tech / Masters in Computer Science
Case 2 : Masters in Statistics or a related field where Machine learning / Deep learning algorithms are part of the curriculum added with strong practical implementation and coding work experience