Data Innovation Strategist

2 days ago

Gandhinagar, India beBeeMachine Full time

Job Title: Data Scientist AI/ML  Core Skills:• Programming expertise in Python, with hands-on experience using Django and Flask.• Expertise in Machine Learning, Deep Learning, NLP, and Computer Vision, utilizing TensorFlow, PyTorch, and scikit-learn.• Familiarity with Generative AI, LangChain, RAG, and LLMs is preferred.• Knowledge of SQL/NoSQL databases, API development, and data visualization using Power BI and Tableau.• Experience with MLOps/DevOps tools, including Docker, Kubernetes, MLflow, Git, and Azure.• Strong analytical, problem-solving, and communication skills.• A degree in Data Science, Computer Science, or a related field (Master's preferred).  Key Responsibilities:• Develop, deploy, and maintain AI/ML models using Python and Django.• Build scalable data pipelines and APIs integrating ML models into production.• Work across domains such as NLP, Computer Vision, and Generative AI for real-world solutions.• Perform data preprocessing, model training, and performance tuning.• Collaborate with cross-functional teams for AI product development and insights.• Automate workflows and ensure robust, reproducible, and efficient ML systems.• Implement MLOps practices (Docker, MLflow, Kubernetes, Azure).• Document model architectures, maintain version control, and support deployment. As a seasoned Data Scientist AI/ML professional, you will play a pivotal role in driving the development and implementation of cutting-edge AI solutions. With a strong foundation in programming, machine learning, and deep learning, you will work closely with cross-functional teams to design and deploy scalable data pipelines and APIs that integrate ML models into production.With expertise in NLP, Computer Vision, and Generative AI, you will collaborate with our team to develop innovative real-world solutions that drive business value. Your proficiency in programming languages, including Python, and your experience with popular libraries like TensorFlow, PyTorch, and scikit-learn, will enable you to develop and deploy AI/ML models efficiently.Furthermore, your knowledge of SQL/NoSQL databases, API development, and data visualization using Power BI and Tableau will be instrumental in ensuring seamless data integration and effective insights. Additionally, your experience with MLOps/DevOps tools, including Docker, Kubernetes, MLflow, Git, and Azure, will allow you to automate workflows and implement robust, reproducible, and efficient ML systems.As a key member of our team, you will have opportunities to learn and grow, collaborating with experienced professionals and working on diverse projects. We value innovation, creativity, and collaboration, and we are committed to providing an inclusive and supportive environment that fosters growth and success.Join us in shaping the future of AI and ML],

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