Job description

Cognine was formed by passionate people with engineering backgrounds, intending to provide core software engineering services to clients worldwide. Cognine is an AI-driven technology solutions provider, empowering businesses with AI, Automation, Product Engineering, and Data Intelligence. We help organizations modernize IT ecosystems, build AI-powered applications, streamline operations, and drive innovation with Generative AI and advanced analytics. We have grown from a small team in Chicago & Hyderabad to a global tech organization with 200+ engineers.

The culture at Cognine embeds key values of engineering mindset, quality, and transparency into every employee. We have invested in organic growth, building on the sustainable technology strategy, design, data, and engineering capabilities required to bring in a truly integrated approach to solve our client’s toughest challenges. Our collaborative, cross-functional teams deliver tangible results, fast.

What you’ll do:

Create frameworks to predict a variety of outcomes in different scenarios
Create models of customer satisfaction that provide detailed insight into what causes a customer to take different actions
Collaborate with other data scientists and stakeholders on projects
Develop solutions in R or Python
Develop production-grade solutions
Work in Hadoop, Redshift, and Spark
Translate business and product questions into analytics projects
Communicate clearly over written and oral channels while translating complex methodologies and analytical results into high-level insights

Qualifications

5-10 years of experience in a data science and/or machine learning role with deep expertise in Python.
Strong experience with Azure, Azure ML, and Terraform.
Experience building and managing robust CI/CD pipelines for machine learning workflows, including model training, evaluation, and deployment.
Excellent verbal and written English communication skills.

Preferred qualifications

Experience with PyTorch.
Experience developing and deploying image models.

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