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Ai / ML Engineer

Ai / ML Engineer

TamcherryBengaluru, Karnataka, India
1 day ago
Job description
  • Minimum 5 years of experience in machine learning engineering and AI development
  • Deep expertise in machine learning algorithms and techniques like supervised / unsupervised learning, deep learning, reinforcement learning, etc.
  • Solid experience in natural language processing (NLP) - language models, text generation, sentiment analysis, etc.
  • Proven understanding of generative AI concepts like text / image / audio synthesis, diffusion models, transformers, etc.
  • Expertise in Agentic AI and building real world applications using the same
  • Experience working with Agentic AI frameworks like Langgraph , ADK , Autogen etc.
  • Hands-on experience developing and deploying generative AI applications (text generation, conversational AI, image synthesis, etc.)
  • Experience in MLOps and ML model deployment pipelines.
  • Proficiency in programming languages like Python, and ML frameworks like TensorFlow, PyTorch, etc.
  • Knowledge of cloud platforms (AWS, GCP, Azure) and tools for scalable ML solution deployment
  • Experience with data processing, feature engineering, and model training on large datasets.
  • Familiarity with responsible AI practices, AI ethics, model governance and risk mitigation
  • Understanding of software engineering best practices and applying them to ML systems.
  • Experience with an agile development environment.
  • Exposure in tools / framework to monitor and analyse ML model performance and data accuracy.
  • Strong problem-solving, analytical, and communication abilities
  • Bachelor’s or master’s degree in computer science, AI, Statistics, Math or related fields

    • Responsibilities :

    • Design, develop and optimize machine learning models for applications across different domains.
    • Build natural language processing pipelines for tasks like text generation, summarization, translation, etc.
    • Develop and deploy cutting-edge generative AI & Agentic AI applications
    • Implement MLOps practices - model training, evaluation, deployment, monitoring, and maintenance.
    • Integrate machine learning capabilities into existing products or build new AI-powered applications.
    • Perform data mining, cleaning, preparation, and augmentation for training robust ML models.
    • Collaborate with cross-functional teams to translate AI requirements into technical implementations.
    • Ensure model performance, scalability, reliability.
    • Continuously research and implement state-of-the-art AI / ML algorithms and techniques.
    • Manage the end-to-end ML lifecycle from data processing to production deployment.
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    Engineer • Bengaluru, Karnataka, India