Data Scientist

2 - 6 years

0 Lacs

Posted:19 hours ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

As an AI/ML Engineer, your primary responsibility will be deploying AI/ML solutions to productions and deriving value from them. You will collaborate with teammates and engage with stakeholders, data team, business team, and product team to develop End-to-End solutions. Your support to the dev-ops team in deploying and integrating solutions with existing systems will be crucial. Ensuring Data Quality and Availability is a key aspect of your role, involving handling missing, unstructured, or inconsistent data for model training and validation. Developing models that perform effectively in real-world scenarios, optimizing scalability of AI solutions, and keeping abreast of rapid advances in AI are part of your responsibilities. You will also need to ensure ethical and regulatory compliance of AI models, maintaining transparency, fairness, and adherence to regulations and ethical guidelines. To be successful in this role, you should have 2 - 4 years of relevant experience. The preferred educational qualifications include a Masters in Science, Statistics, Machine Learning, Data Science, or a Bachelors in Engineering, Technology, Data Science, or Computer Science. Your functional skills should encompass working knowledge of the Data Science toolbox, including Python, SQL, Jupyter Notebook, Azure/AWS cloud, PySpark, TensorFlow, PyTorch, Keras, and other Big Data tools. An in-depth understanding of AI/ML models, particularly in LLM, Reinforcement Learning, Computer Vision, and Deep Learning, is essential. Expertise in NLP, Computer Vision, and Speech technology (STT, TTS) will be advantageous. On the behavioral front, you should possess the ability to align technology with business objectives, thrive on innovation, and have a problem-solving mindset for experimentation. Your focus should be on achieving results with excellence in execution, maintaining customer orientation, and exuding passion and energy at work. A positive "Can Do and Will Do" attitude will be instrumental in driving success in this role.,

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