3 months ago
Mumbai, India +2 moreSenior

Responsibilities

  • Architect, design, and deploy scalable AI/ML solutions across AWS, GCP, and Azure.
  • Lead development of complex models for NLP, computer vision, generative AI, and predictive analytics.
  • Optimize models through feature engineering and hyperparameter tuning.
  • Oversee large-scale, secure, high-quality data engineering pipelines.
  • Implement and maintain MLOps and LLMOps processes for CI/CD, versioning, monitoring, and retraining.
  • Translate business requirements into technical solutions with product, engineering, analytics, and client teams.
  • Mentor and technically lead junior engineers and data scientists.
  • Apply responsible AI, security, compliance, and governance best practices.
  • Evaluate industry trends and introduce new AI/ML frameworks and cloud-native approaches.

Requirements

  • 5+ years of professional experience in AI/ML, data science, or a similar technical domain.
  • Deep proficiency in Python and one or more of TensorFlow, PyTorch, Scikit-learn, or Keras.
  • Experience deploying machine learning systems on cloud platforms, including AWS SageMaker or Vertex AI.
  • Expertise in NLP, LLMs, transformers, computer vision, generative AI, and RAG architectures.
  • Experience with MLOps, DevOps, Docker, Kubernetes, CI/CD pipelines, MLflow, and DVC.
  • Strong data engineering skills involving ETL, batch and streaming data, SQL or NoSQL, and data modeling.
  • Strong analytical, problem-solving, communication, team leadership, and mentoring abilities.
  • Experience owning delivery for large-scale technology projects.
  • Background in enterprise automation, digital transformation, and AI-powered products is highly valued.

Benefits

  • Work directly with former AWS leaders and AI pioneers.
  • Own high-impact greenfield projects from concept through global launch.
  • Work with modern generative AI frameworks and cloud-native architectures.
  • Build mission-critical systems used by major global enterprises.
  • Opportunity for rapid career growth in a high-speed environment.
  • Locations are Bengaluru, Coimbatore, or Mumbai, India.
  • Aivar Innovations is an equal opportunity employer committed to a diverse, inclusive, and respectful workplace.

Tech Stack

Categories

Aivar Innovations Private Limited

About Aivar Innovations Private Limited

51-200 employees
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