Senior AI Engineer

We are seeking a highly skilled and experienced Senior AI Engineer to lead the design, development, and deployment of cuttingedge AIML 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 crossfunctionally with product, data, and engineering teams to deliver scalable and impactful AIdriven features.

Key Responsibilities:

• Design and develop advanced machine learning models and deep learning architectures for realworld problems.
• Lead AIML 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

  • Bachelors or Master’s degree in Computer Science, Engineering, Mathematics, or a related field (Ph.D. preferred).
  • 5+ years of experience in AIML engineering with a strong portfolio of productionlevel 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, Scikitlearn, 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 problemsolving skills and communication abilities.