Search by job, company or skills

  • Posted 23 days ago
  • Be among the first 10 applicants
Early Applicant

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.
  • Experience working with Agentic AI frameworks like Langgraph, ADK, Autogen etc.
  • Hands-on experience in 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.
  • 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.
  • Bachelor's or master's degree in computer science, AI, Statistics, Math or related fields.

More Info

About Company

Job ID: 132122867

Similar Jobs