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Pune, Maharashtra, India beBeeArtificial Full time ₹ 18,00,000 - ₹ 25,00,000

As a seasoned AI Professional, you will play a pivotal role in designing and developing cutting-edge artificial intelligence models that drive meaningful results across diverse domains. Collaborating closely with data scientists, software developers, and business stakeholders, you will unlock the full potential of data to deliver actionable insights and AI-driven applications.- Develop innovative AI/ML solutions for classification, regression, NLP, computer vision, or recommendation systems, leveraging Python and prominent ML libraries like TensorFlow, PyTorch, Scikit-learn.- Create proof-of-concept (POC) AI applications to validate feasibility and business value, harnessing your expertise in machine learning frameworks and tools.- Work with large datasets using Pandas, NumPy, and SQL, ensuring seamless data analysis and preprocessing.- Collaborate with data engineering teams to guarantee data quality and availability, driving efficiency and productivity.- Deploy models effectively using APIs, Docker, GCP, Vertex AI, or similar platforms, ensuring scalable and secure solutions.- Integrate third-party or foundation models into applications, exploring opportunities for innovation and growth.- Continuously monitor and improve the performance of deployed models in production, optimizing results and mitigating risks.- Stay abreast of the latest AI/ML trends, tools, and frameworks, enhancing your skills and expertise.- Thrive in an Agile environment, participating in sprints, code reviews, and daily stand-ups, fostering collaboration and open communication.Becoming an AI/ML model developer requires:- A Bachelor's degree in Computer Science, AI, Data Science, or a related field.- At least 3 years of hands-on experience in AI/ML model development.- Strong proficiency in Python, including its extensive range of libraries and tools.- Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn, enabling effective model development and deployment.- A solid understanding of supervised and unsupervised learning techniques, driving informed decision-making.- Excellent analytical, problem-solving, and debugging skills, ensuring efficient issue resolution and continuous improvement.- Experience deploying models via APIs, cloud services, or containers, streamlining operations and enhancing scalability.Preferred skills include:- Experience with Google Cloud Platform (GCP) or AWS/Azure, expanding your knowledge of cloud computing and infrastructure.- Familiarity with Vertex AI, Kubeflow, or MLflow, enabling seamless model development and deployment.- Expertise in Generative AI tools like OpenAI, Google Gemini, or Hugging Face Transformers, unlocking new possibilities for innovation.- Working knowledge of MLOps pipelines and CI/CD for ML, ensuring smooth model deployment and maintenance.- Basic knowledge of Docker, Kubernetes, and microservices, enhancing your understanding of containerization and orchestration.- Exposure to Natural Language Processing (NLP) or Computer Vision projects, broadening your skill set and expertise.