Senior AI Engineer

1 day ago

India BlackStone eIT Full time ₹ 20,00,000 - ₹ 25,00,000 per year

We are seeking a highly skilled and experienced Senior AI Engineer to lead the design, development, and deployment of cutting-edge AI/ML solutions across our products and platforms. As a senior member of the team, you will be responsible for solving complex problems using AI technologies, mentoring junior engineers, and collaborating cross-functionally with product, data, and engineering teams to deliver scalable and impactful AI-driven features.

Key Responsibilities:
  • Design and develop advanced machine learning models and deep learning architectures for real-world problems.
  • Lead AI/ML system design, including data pipelines, model training workflows, evaluation strategies, and deployment frameworks.
  • Conduct research and experimentation with new algorithms, tools, and technologies to enhance the company's AI capabilities.
  • Collaborate with product managers, data scientists, and software engineers to translate business requirements into AI solutions.
  • Mentor and guide junior AI engineers and data scientists, fostering best practices in coding, experimentation, and model deployment.
  • Optimize and monitor model performance in production, including addressing issues of bias, drift, and latency.
  • Stay current with AI research, tools, and industry trends, and bring innovative ideas into the team.
  • Contribute to technical strategy and help define the roadmap for AI initiatives.
Requirements
  • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field (Ph.D. preferred).
  • 5+ years of experience in AI/ML engineering with a strong portfolio of production-level projects.
  • Deep knowledge of machine learning and deep learning algorithms (e.g., CNNs, RNNs, Transformers, LLMs).
  • Proficient in Python and libraries such as TensorFlow, PyTorch, Scikit-learn, and Hugging Face.
  • Strong experience with MLOps tools (e.g., MLflow, Kubeflow, Airflow) and cloud platforms (e.g., AWS, GCP, Azure).
  • Experience in deploying and maintaining models in production at scale.
  • Strong understanding of data structures, algorithms, and software engineering principles.
  • Excellent problem-solving skills and communication abilities.

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