In this position, we are looking for a person who can innovate, design, analyze, evaluate, architect, implement and tune complex algorithms and ML models operating on large sets of data in collaboration with data scientists and software engineering teams.
Selected intern's day-to-day responsibilities include:
1. Participate in product development in artificial intelligence and machine learning applications
2. Develop solutions for the real world and large-scale problems
3. Handle performance tuning of machine learning & deep learning algorithms on a large dataset
Only those candidates can apply who:
1. are available for full time (in-office) internship
2. can start the internship between 6th Jun'19 and 11th Jul'19
3. are available for duration of 6 months
4. have relevant skills and interests
1. Should have strong analytical & problem-solving skills
2. Should have strong mathematical and statistical skills
3. Should have hands-on experience in neural networks algorithms
4. Should have an intermediate level of proficiency in Python/Java/R
5. Should have exposure to machine learning algorithms, TensorFlow, Keras, etc.
6. Should have an experience to shell scripting in Linux/Unix environment
7. Candidates having knowledge of data visualization would be preferred
Job offer: On successful conversion to a permanent employee, the candidate can expect a salary of Rs. 300000 to 400000 /year
We are an enterprise data and AI platform and cloud transformation company with a vision of transforming enterprises into AI-first organizations building intelligent distributed and data-driven decision platforms on enterprise data, AI, IoT, cloud, and DevOps. We primarily focus on enterprise data-driven applications at scale with serverless and microservices architecture on cloud, on-premises, and multi-cloud solutions. In 2017, we received the 'best start-up' of the year award by TiE Chandigarh. In 2018, we received the 'best product of the year' award by STPI, Ministry of Electronics and IT. We have been working with platforms and products for continuous delivery and enterprise data and AI hub and are also co-engineering few products with enterprises.
