AI Engineering Leader

1 day ago

Bengaluru, Karnataka, India beBeeEngineering Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Title: AI Engineering Leader

Overview: We are seeking a seasoned AI Engineer to spearhead the design, development, and deployment of cutting-edge machine learning models.

Key Responsibilities:

  • Design and implement advanced machine learning architectures for various applications.
  • Analyze and engineer complex datasets to optimize model performance.
  • Collaborate with cross-functional teams to translate business requirements into innovative technical solutions.
  • Deploy scalable AI/ML models using cloud platforms and accelerators.
  • Implement MLOps best practices for CI/CD, automated model retraining, and lifecycle management.
  • Optimize AI pipelines for distributed computing using cloud platforms and accelerators.
  • Develop and maintain state-of-the-art AI solutions using retrieval-augmented generation and fine-tuning techniques.
  • Evaluate and validate models to ensure high performance and accuracy.
  • Stay up-to-date with the latest AI advancements and integrate them into existing projects.
  • Mentor junior developers and provide technical guidance.
  • Author detailed documentation of processes and methodologies.
  • Implement and optimize deep learning models using Generative Adversarial Networks and transformer architectures.
  • Explore federated learning approaches to build AI models while preserving data privacy.
  • Integrate explainable AI techniques for transparency and interpretability.

Required Qualifications:

  • Bachelor's or Master's in Computer Science, AI, ML, Data Science, or related fields.
  • 7+ years of experience with AI/ML solutions.
  • Extensive experience in developing and deploying machine learning models in production environments.
  • Expertise in Python (NumPy, Pandas, scikit-learn) and proficiency in Java, Scala, or similar languages.
  • Deep understanding of deep learning frameworks (TensorFlow, PyTorch, JAX) and NLP libraries (Hugging Face Transformers).
  • Hands-on experience with MLOps, including containerization, CI/CD, and model monitoring.
  • Well-versed with Agentic AI and Langchain ecosystem.
  • Experience with distributed computing and large-scale dataset processing.
  • Proficiency in vector databases for efficient similarity search.
  • Strong expertise in fine-tuning transformer models, hyperparameter optimization, and reinforcement learning.
  • In-depth experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.
  • Strong analytical, problem-solving, and communication skills to bridge technical and business perspectives.

Preferred Qualifications:

  • Experience in regulated industries like healthcare or biopharma.
  • Contributions to AI research, open-source projects, or top-tier AI conferences.
  • Familiarity with generative AI, prompt engineering, and advanced AI topics like graph neural networks.
  • Proven ability to scale AI teams and lead complex AI projects in high-growth environments.

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