AI/ML Engineer applying AI/ML techniques in hardware manufacturing for yield prediction and process improvement. Collaborating on research and deployment of machine learning models.
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
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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