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
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