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Senior Data Scientist - Machine Learning/Gen AI/NLP (8-13 yrs)

8-13 years

Pune

Senior Data Scientist - Machine Learning/Gen AI/NLP (8-13 yrs)

Crescendo Global

posted 2mon ago

Job Description

Are you ready to revolutionize the world of data science? We're seeking a passionate and skilled Data Science Engineer to join our dynamic team. Picture yourself at the forefront of innovation, crafting data pipelines and applications that harness the power of computer vision and text mining and much more.

Location - Pune (Hybrid)

Your Future Employer- A dynamic global Analytics company dedicated to a strong emphasis on innovation and a wide-reaching presence, we provide independent ratings, data, and actionable insights to over 100,000 clients worldwide. They empower decision-makers to mitigate risks, enhance returns, and drive growth.

Your Responsibilities:

- Crafting data pipelines and applications leveraging computer vision and text mining.

- Fine-tune Large Language Models like GPT-4, LLAMA 2, and Falcon.

- Diving deep into Python and its rich library ecosystem for data analysis.

- Utilizing top-notch frameworks including SpaCy, and Hugging Face etc.

- Hands-on experience with deep learning frameworks such as TensorFlow, PyTorch etc.

- Deploying and maintaining data science solutions on cloud platforms like Azure, AWS, and GCP.

- Recording and communicating the results of your data science solutions effectively.

Requirements:

- Bachelor's or master's degree in computer science, engineering, or related field.

- Min 5 years of experience in data science, machine learning, or artificial intelligence.

- Proficiency in python and its libraries i.e, Pandas, Numpy etc.

- Proficiency in TensorFlow, PyTorch or related tools.

- Proficient in computer vision, text analysis, and utilizing extensive language models.

- Demonstrated capability in implementing and managing data science solutions on cloud infrastructures using AWS, Azure etc.

- Effective communication and presentation abilities.

- Skilled in both independent work and collaborative environments within a dynamic setting.

What is in for you:

- Work on exciting projects at the cutting-edge of data science.

- Opportunity to hone your skills and expertise in a collaborative environment.

- Make a real impact with your solutions and innovations.


Functional Areas: Other

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