Hybrid AI/ML Engineer

Posted 6 hours ago

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About the role

  • AI/ML Engineer building intelligent systems using machine learning and AI at Emumba. Developing, training, and deploying ML models while collaborating with cross-functional teams.

Responsibilities

  • Design, train, and evaluate machine learning models for predictive analytics and automation. Optimize models using feature engineering, experimentation, and tuning.
  • Develop AI-powered applications such as recommendation systems, classification models, and NLP solutions. Integrate models into applications through APIs.
  • Prepare and transform large datasets for model training. Work with data pipelines to support scalable ML workflows.
  • Deploy and monitor machine learning models in production environments using cloud infrastructure and MLOps practices.
  • Work closely with software engineers, data engineers, and DevOps teams to integrate AI solutions and translate business requirements into machine learning solutions.

Requirements

  • Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field
  • 2–4 years of experience in AI/ML engineering or machine learning development
  • Strong proficiency in Python
  • Solid understanding of machine learning algorithms and model development
  • Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
  • Experience working with structured and unstructured datasets
  • Familiarity with cloud platforms (preferably AWS)
  • Experience with model deployment and API integration

Benefits

  • Exposure to Generative AI and LLM-based applications
  • Familiarity with AWS AI/ML services (Bedrock, SageMaker, Lambda, S3, OpenSearch)
  • Experience with vector databases or retrieval systems
  • Understanding of MLOps practices and CI/CD for ML systems
  • Experience with NLP, computer vision, or recommendation systems

Job title

AI/ML Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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