Data Scientist || Immediate joiner

4 - 8 years

0 Lacs

Posted:5 days ago| Platform: Shine logo

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Work Mode

On-site

Job Type

Full Time

Job Description

As a Machine Learning and AI Specialist, you will be responsible for architecting and implementing cutting-edge solutions in the fields of Computer Vision, Natural Language Processing (NLP), and Large Language Models (LLMs). Your role will involve integrating these models into application ecosystems, collaborating with data engineering teams to develop robust pipelines, and conducting AI/ML research to ensure that our solutions stay ahead of industry trends. In addition to your technical responsibilities, you will also play a key role in mentoring junior team members, collaborating with stakeholders across departments, and ensuring the scalability and efficiency of our ML models. Participation in code reviews, planning discussions, and overall contribution to the team's success will be crucial aspects of your day-to-day work. To excel in this role, you must possess a strong foundation in programming, particularly in Python, and have experience working with frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, OpenAI, and Llama. Proficiency in data libraries like NumPy and Pandas, along with expertise in domains like Computer Vision, NLP, LLMs, and Data Science, will be essential for success. The ideal candidate for this position will hold a Bachelors or Masters degree in Computer Science, Data Science, or a related field, and have a minimum of 4 years of experience in Data Science and Machine Learning, with at least 2 years of experience in enterprise applications. Strong analytical and communication skills, along with the ability to manage multiple projects in a fast-paced environment, will be key to thriving in this role. This is a full-time position based in Noida, with a day shift schedule that requires in-person work at the designated location. If you are passionate about leveraging AI and ML technologies to drive innovation and solve complex challenges, we encourage you to apply and join our dynamic team.,

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