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
Senior ML Engineer serving as an individual contributor in generative AI at GEICO. Collaborating with teams to design, develop, and deploy AI systems that drive business value.
Senior Staff Machine Learning Engineer at GEICO, enhancing service productivity through AI technologies. Collaborating with dynamic teams to develop and deploy scalable AI workflows across Geico.
Staff AI Engineer at GEICO designing and deploying AI platforms for virtual agent workflows. Collaborating with teams to improve service for millions of customers.
Machine Learning Engineer at Tilt, developing personalisation solutions across various app surfaces. Collaborate with teams to enhance recommendation systems on a video - first shopping platform.
Senior Machine Learning Engineer architecting next - generation AI platforms for healthcare and fintech with Nitra's diverse team. Focused on data pipelines, ML infrastructure, and production - ready AI systems.
Senior Machine Learning Engineer architecting and building Nitra's data and AI platform. Driving intelligent products across healthcare and fintech industries with applied AI and platform engineering.
Machine Learning Engineer developing and implementing ML models for lending at Blue Whale Lending LLC. Collaborating with teams to enhance data insights and validate model performance.
Applied ML Engineer contributing to machine learning and perception tasks for edge - intelligent maritime systems. Collaborating with cross - functional teams to deliver real - world AI solutions.
AI/ML Engineer building data science and AI solutions for Pharma and MedTech clients on Azure. Collaborating with teams to deliver end - to - end machine learning projects.
ML Engineering Lead at Saris AI tackling multi - modal AI systems in banking. Drive technical direction and build high - performing teams in an early - stage startup environment.