Description

You will build and deploy scalable machine learning models and agentic systems into production environments.

This role is on-site.

Responsibilities

• Design and develop agentic systems to autonomously analyze tasks and process unstructured data.
• Build and optimize scalable, distributed ML pipelines for production.
• Perform data preprocessing, feature engineering, and model evaluation to ensure reliability.
• Collaborate with engineers and domain experts to integrate AI capabilities into products.
• Participate in code reviews and contribute to system architecture discussions.

Required Skills

• 5+ years of hands-on experience building AI systems or machine learning applications.
• Proficiency in Python, Java, or Scala.
• Experience with TensorFlow, PyTorch, or Hugging Face libraries for transformer-based models and LLMs.
• Proven experience developing AI agents for automating complex workflows.
• Hands-on experience with AWS, Azure, or Google Cloud for model deployment.
• Experience with big data tools such as Apache Spark or Hadoop.
• Strong foundation in algorithms, data structures, and scalable system design.
• Bachelor's degree in Computer Science, Engineering, or a related field.

Preferred Skills

• Familiarity with MLOps tools including MLflow, Kubeflow, Airflow, Docker, or Kubernetes.

Key Skills

Education

Bachelor's degree