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Careernet
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Fullstack Machine Learning Engineer

Careernet · Hybrid - Bengaluru, India

Actively hiring Posted 6 months ago

Key Skills: Machine Learning, React, Python, Artificial Intelligence, Core Java, AWS, Java, Angular

Roles and Responsibilities:

  • Build end-to-end AI-powered products by designing and developing full-stack applications that integrate ML models into user experiences.
  • Develop scalable APIs and services to serve ML models, manage data pipelines, and support real-time inference.
  • Craft intuitive frontends using modern frameworks to visualize and interact with ML outputs.
  • Operationalize ML solutions by implementing the full ML lifecycle, including data engineering, model development, deployment, monitoring, and MLOps on cloud platforms.
  • Prototype rapidly to validate ideas and align with product strategy.
  • Optimize performance by enhancing system and model efficiency for speed, scalability, and cost-effectiveness.
  • Integrate LLMOps by designing and managing workflows for deploying, monitoring, and updating large language models in production environments.
  • Collaborate cross-functionally with product managers, designers, and engineers to ensure cohesive product delivery.
  • Stay ahead of the curve by keeping up with the latest in AI/ML, full-stack technologies, LLMOps, and Agentic AI to guide architectural decisions.

Skills Required:

  • Strong proficiency in Python for machine learning, data processing, and API development.
  • Experience with React.js (and optionally Angular) for building interactive front-end applications.
  • Solid understanding of machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Hands-on experience in end-to-end ML lifecycle -- data preparation, model training, evaluation, deployment, and monitoring.
  • Familiarity with LLMOps and Agentic AI concepts for large language model deployment and automation.
  • Knowledge of MLOps practices, including CI/CD, containerization (Docker, Kubernetes), and monitoring.
  • Experience deploying applications and models on AWS (S3, SageMaker, Lambda, EC2, etc.).
  • Strong knowledge of data structures, algorithms, and system design.
  • Good understanding of API development (RESTful, GraphQL) and microservices architecture.
  • Working knowledge of Core Java or Java for backend services is a plus.
  • Excellent problem-solving, analytical, and communication skills.

Education: B.Tech in Artificial Intelligence or related field

Tags & focus areas

Used for matching and alerts on DevFound
Core Java Artificial Intelligence Machine Learning React Python Java Aws Angular Ai Mlops
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