Advanced AI/ML Engineer

5 days ago

Bengaluru, Karnataka, India beBeeMachineLearning Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Job Overview:

We are seeking a seasoned professional to spearhead the design, development and deployment of cutting-edge Machine Learning solutions.

This role combines technical leadership with hands-on engineering expertise to build scalable and high-performance Machine Learning systems that deliver tangible business value.

The ideal candidate will be a strategic thinker, an excellent mentor and a skilled practitioner in Artificial Intelligence, Deep Learning and data-driven architectures.

Key Responsibilities:

  • AI/ML Strategy & Leadership:
    • Lead the end-to-end development of Machine Learning solutions, from conceptualization to deployment.
    • Define the AI/ML roadmap and align it with organizational objectives.
    • Mentor, guide and upskill a team of AI/ML engineers and data scientists.
    • Collaborate with product leaders, stakeholders and executives to identify opportunities for AI-driven innovation.
  • Model Development & Deployment:
    • Design, train, validate and optimize Machine Learning and Deep Learning models.
    • Implement robust pipelines for data preprocessing, feature engineering, model training and monitoring.
    • Deploy ML models in production using DevOps best practices (CI/CD for ML, retraining pipelines).
    • Ensure model scalability, interpretability and fairness.
  • System Design & Integration:
    • Architect scalable AI/ML solutions integrated with existing backend systems.
    • Work with cloud platforms such as AWS, GCP or Azure for distributed training and deployment.
    • Build APIs and services to integrate AI/ML models into customer-facing applications.
  • Research & Innovation:
    • Stay updated with the latest AI/ML research, frameworks and technologies.
    • Experiment with emerging tools and techniques to drive innovation and thought leadership.
    • Publish or present findings to strengthen organizational reputation in AI.

Qualifications and Skills:

  • Bachelor's or master's degree in Computer Science, Data Science, Artificial Intelligence or related field (PhD preferred).
  • 8-12 years of experience in AI/ML engineering, with at least 3-4 years in a leadership role.
  • Strong proficiency in Python and ML/DL frameworks such as TensorFlow, PyTorch or Keras.
  • Hands-on experience with NLP, computer vision, recommendation systems or generative AI models.
  • Solid understanding of data engineering, ETL pipelines and large-scale data processing.
  • Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
  • Proficiency in DevOps practices and tools like MLFlow, Kubeflow, Airflow or strong problem-solving, analytical and communication skills.

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