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2 Weeks ago

Data Scientist

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Hyderabad, Telangana, India
Information Technology
Full-Time
DAZN

Overview

Description


We are seeking a passionate and experienced Data Scientist / Machine Learning Engineer with a strong foundation in Machine Learning, Deep Learning, and Generative AI (GenAI).
The ideal candidate will have hands-on experience with modern AI frameworks and libraries, a proven ability to design, develop, and deploy scalable ML solutions, and expertise in working with Large Language Models (LLMs).
You will leverage your skills to drive impactful solutions, staying at the forefront of advancements in ML, DL, and GenAI. You will work on cutting-edge projects, incorporating the latest technologies into production-ready systems.
If you are excited about advancing your career in a dynamic, innovationdriven environment, we invite you to join


Key Responsibilities:


  • Develop, train, and fine-tune machine learning and deep learning models for diverse business use cases.
  • Work with Generative AI and LLMs, including customizing, fine-tuning, and deploying models for real-world applications.
  • Stay updated with the latest advancements in Machine Learning, Deep Learning, and Generative AI, and incorporate them into projects.


Required Skills:


  • Machine Learning Frameworks: Proficiency in Scikit-learn, TensorFlow or PyTorch.
  • Deep Learning: Experience building and training deep learning models, including CNNs, RNNs, Transformers, and other architectures.
  • Generative AI: Hands-on experience with Generative AI models, including fine-tuning and deploying LLMs.
  • Programming: Strong skills in Python; familiarity with libraries like NumPy, pandas, and Matplotlib.
  • Data Handling: Experience working with structured and unstructured data, including text, images, and time-series. Good to have Skills:
  • Exposure to tools like Hugging Face Transformers for working with LLMs.
  • Understanding of MLOps practices, including CI/CD pipelines for ML models.
  • Experience with GPU-accelerated computing.
  • Experience with distributed training frameworks (e.g., Horovod, PyTorch Lightning).
  • Cloud Platforms: Familiarity with cloud services like AWS


Qualifications:


  • Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
  • 4+ years of professional experience in Machine Learning and Deep Learning.
  • Proven track record of deploying ML/DL models in production environment


About DAZN

At DAZN, we bring ambition to life. We are innovators, game-changers and pioneers. So, if you want to push boundaries and make an impact, DAZN is the place to be.

As part of our team, you'll have the opportunity to make your mark and the power to make change happen. We're doing things no-one has done before, giving fans and customers access to sport anytime, anywhere. We're using world-class technology to transform sports and revolutionise the industry and we're not going to stop.
DAZN VALUES – THE ‘HOW’ IN WHAT WE DO:
Agility and creativity fuel growth and innovation, to Make It Happen.

Prioritising what matters drives progress and positive outcomes, Focusing On Impact.

Collective ambition builds optimism and success, in order to Win As One.

At DAZN, we are committed to fostering an inclusive environment that values equality and diversity, where everyone can contribute and have their voices heard. This means hiring and developing talent across all races, ethnicities, religions, age groups, sexual orientations, gender identities and abilities.

Everyone has the opportunity to make change and impact our DEI journey by joining our ERGs: Proud@DAZN, Women@DAZN, Disability@DAZN and ParentZone.
If you’d like to include a cover letter with your application, please feel free to. Please do not feel you need to apply with a photo or disclose any other information that is not related to your professional experience.
Our aim is to make our hiring processes as accessible for everyone as possible, including providing adjustments for interviews where we can.
We look forward to hearing from you.
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