Lead Ai/ML Architect

1 day ago

Bengaluru, Karnataka, India beBeeAI Full time

As a seasoned Ai/ML Architect, you will design and lead the implementation of advanced Ai and machine learning solutions. This role involves defining scalable architectures, optimizing model performance, and collaborating with cross-functional teams to integrate Ai capabilities into business applications.

Key Responsibilities:
  • Design and architect end-to-end Ai/ML solutions ensuring scalability, security, and efficiency.
  • Guide data scientists and engineers in developing, training, and deploying machine learning models.
  • Define best practices for MLOps, including model versioning, monitoring, and retraining strategies.
  • Develop Ai frameworks and reusable components to accelerate Ai adoption across the organization.
  • Collaborate with stakeholders to understand business requirements and align Ai solutions accordingly.
  • Optimize data pipelines and Ai infrastructure to support high-performance model training and inference.
  • Evaluate emerging Ai technologies and recommend suitable tools, frameworks, and methodologies.
  • Ensure compliance with Ai ethics, governance, and data privacy regulations.
Requirements:

You must have:

  • Bachelor's/Master's/Ph.D. in Computer Science, Artificial Intelligence, or a related field.
  • 8+ years of experience in Ai/ML engineering, including at least 3 years in an architectural role.
  • Extensive experience in Ai/ML model development, deployment, and lifecycle management.
  • Expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) and cloud platforms (AWS, GCP, Azure).
  • Strong programming skills in Python, Java, or C++.
  • Proficiency in MLOps tools (Kubeflow, MLflow, Airflow, Docker, Kubernetes).
  • Deep understanding of distributed computing, big data technologies (Spark, Hadoop), and scalable data pipelines.
  • Experience with NLP, deep learning, reinforcement learning, or generative Ai.
  • Experience in Ai-driven business transformation and enterprise Ai strategies.
  • Familiarity with edge Ai, IoT, or real-time Ai processing.
  • Knowledge of ethical Ai frameworks and responsible Ai principles.

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