AI/ML engineer

4 weeks ago

bangalore, India WomenTech Network Full time

Who We Are

At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.


The Role

· The ideal candidate will be responsible for designing, developing, and implementing AI and ML solutions that address complex business problems, and good to have exposure to Open AI(large language models) and open ai large language model or databricks dolly or huggingface

Responsibilities:

· Design and develop AI and ML solutions that address complex business problems

· Develop and implement machine learning algorithms and models

· Study and transform data science prototypes

· Design machine learning systems

· Research and implement appropriate ML algorithms and tools

· Develop machine learning applications according to requirements

· Select appropriate datasets and data representation methods

· Run machine learning tests and experiments

· Perform statistical analysis and fine-tuning using test results

· Train and retrain systems when necessary

· Extend existing ML libraries and frameworks

· Write high-quality Python code to implement ML models and deploy them to production

· Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions

· Develop data pipelines and ETL processes to clean and preprocess data for use in ML models- good to have data bricks knowledge

· Work with large datasets and implement distributed computing frameworks such as Apache Spark

· Monitor and maintain ML models in production and continuously improve their performance

· Stay up-to-date with the latest trends and technologies in AI and ML and bring new ideas to the team

· Contribute to ML-Ops (Machine Learning Operations) features on the Platform for Operationalized Data Science (PODS) product roadmap.


Who You Are

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field

· 3-6 years of experience in developing AI and ML solutions

· Strong proficiency in Python programming and experience with Python libraries such as NumPy, Pandas, and Scikit-learn

· Strong understanding of machine learning algorithms and their implementation in Python

· Experience with deep learning frameworks such as TensorFlow or PyTorch

· Familiarity with distributed computing frameworks such as Apache Spark

· Experience with data pre processing, ETL, and data pipeline development in data bricks and data factor(good to have)

· Strong problem-solving skills and ability to work independently and as part of a team

· Excellent communication skills and ability to collaborate with cross-functional teams

· Exposure to open ai large language model or databricks dolly or huggingface


Being You

Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way.


What You Can Expect

With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.

Get Referred

If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.

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