Senior AI Developer

4 days ago

Agra, Uttar Pradesh, India beBeeArtificialIntelligence Full time ₹ 20,00,000 - ₹ 25,00,000

About the Opportunity:

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We are seeking a highly skilled and innovative AI Engineer to join our organization.

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The ideal candidate will design, develop, and deploy AI and machine learning solutions to solve complex business problems and drive growth.

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You will work closely with cross-functional teams to integrate AI models into products and services, ensuring scalability, performance, accuracy, and efficiency.

">Design, build, and deploy AI/ML models for real-world applications and drive business outcomes.">Preprocess and analyze large datasets to derive meaningful insights and make informed decisions.">Collaborate with software engineers, data scientists, and product teams to integrate AI capabilities and drive innovation.">Optimize model performance, scalability, and maintainability to ensure high-quality solutions.">Research and implement cutting-edge AI algorithms and frameworks to stay ahead of the curve.">Maintain clear documentation for AI workflows, model training, and deployment processes to ensure transparency and reproducibility.">Monitor and fine-tune deployed models to ensure accuracy, relevance, and performance.">">

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.">Strong proficiency in Python and libraries such as TensorFlow, PyTorch, Scikit-learn, etc.">Experience with NLP, computer vision, or predictive analytics projects and a proven track record of success.">Knowledge of cloud platforms like AWS, Azure, or GCP for AI/ML deployment and a strong understanding of cloud computing principles.">Solid understanding of data structures, algorithms, and software engineering principles to ensure high-quality solutions.">Hands-on experience with data preprocessing, feature engineering, and model evaluation to drive business outcomes.">Strong problem-solving skills and ability to work independently to drive results.">">

Experience in large language models (LLMs) or generative AI and a proven track record of success.">Familiarity with MLOps tools and practices (e.g., MLflow, Kubeflow, Docker, Kubernetes) to ensure seamless integration.">Exposure to big data tools like Spark, Hadoop, or Databricks to drive business outcomes.">

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