Senior Machine Learning Architect

2 days ago

Hyderabad, Telangana, India beBeeMachine Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Senior Machine Learning Architect

About the Opportunity :

We are seeking a highly experienced Senior Machine Learning Architect to join our advanced engineering team. In this role, you will drive the design and development of scalable AI/ML solutions for enterprise-grade applications.

Key Responsibilities :

  • Architecture & Design :
    • Define the technical vision and architecture for AI/ML solutions at scale.
    • Design and implement robust, distributed ML systems leveraging cloud-native technologies.
    • Lead model lifecycle management, including training, deployment, monitoring, and retraining.
  • AI/ML Model Development :
    • Research and implement advanced algorithms in areas such as Natural Language Processing, Computer Vision, Generative AI, Predictive Analytics, and Recommendation Systems.
    • Optimize models for performance, scalability, and real-time inference.
    • Leverage frameworks like TensorFlow, PyTorch, Keras, Hugging Face, and Scikit-learn.
  • Data Engineering & Pipeline Management :
    • Design and maintain ETL pipelines, feature stores, and data preprocessing workflows.
    • Work with structured/unstructured data, large-scale datasets, and real-time streaming data.
    • Collaborate with data engineering teams to ensure high-quality, reliable datasets for training and inference.
  • MLOps & Deployment :
    • Implement MLOps best practices using CI/CD pipelines, containerization (Docker), and orchestration tools (Kubernetes).
    • Ensure reproducibility, model versioning, and scalable deployment of ML services.
    • Monitor model performance (drift, bias, accuracy) and ensure compliance with responsible AI standards.
  • Leadership & Mentoring :
    • Provide technical leadership and mentorship to junior engineers and data scientists.
    • Conduct code reviews, design reviews, and enforce engineering best practices.
    • Collaborate with product managers and business stakeholders to define AI/ML roadmaps and KPIs.

Required Skills & Expertise :

  • Core Technical Expertise :
    • 10+ years of software engineering experience with at least 5 years in AI/ML system development.
    • Strong proficiency in Python, Java, or C++ for production-grade development.
    • Hands-on experience with ML frameworks (PyTorch, TensorFlow, Scikit-learn, Hugging Face).
    • Strong mathematical foundation in Linear Algebra, Statistics, Probability, and Optimization.
  • MLOps & Cloud :
    • Deep experience with AWS SageMaker, Azure ML, or Google Vertex AI.
    • Expertise in CI/CD pipelines, Docker, Kubernetes, MLflow, Kubeflow.
    • Familiarity with data pipelines and distributed data processing (Spark, Kafka, Flink).
  • Domain Knowledge :
    • Experience in at least one domain such as Healthcare, FinTech, Retail, or Enterprise SaaS AI applications.
    • Strong focus on building responsible, explainable, and ethical AI systems.
  • Soft Skills :
    • Excellent leadership, mentoring, and stakeholder management abilities.
    • Strong communication skills with the ability to explain technical concepts to non-technical stakeholders.

Education :

  • Bachelors or Masters degree in Computer Science, AI/ML, Data Science, or related field (Ph.D. or AI/ML certifications from AWS, Azure, GCP, or DeepLearning.ai are a plus)

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