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Protocol Intelligence
Data-driven signals on your job's competitivenessBroad, mid-level AI/ML role in Bangalore at a funded startup makes candidate competition high.
Core ML and MLOps skills transfer broadly, but enterprise agentic AI experience favors domain-aligned candidates.
Required expertise in model training, MLOps, LLMs and cloud implies medium shortlisting strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and optimize machine learning and deep learning models including classification, regression, recommendation, and large language models.
Implement end-to-end ML pipelines with a focus on production deployment, scalability, efficiency, and use of MLOps, containerization (Docker), and cloud services (Azure).
Collaborate cross-functionally to integrate AI into business applications and research state-of-the-art AI techniques for continuous model improvement.
Minimum Requirements
Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.
Strong programming skills in Python; experience with AI/ML frameworks such as TensorFlow, PyTorch, Hugging Face, Scikit-learn.
Experience training and deploying ML models in production with knowledge of cloud computing platforms (AWS, GCP, Azure) and MLOps tools.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced with deep learning architectures including CNNs, RNNs, Transformers, GANs and fine-tuning of large language models (GPT, BERT, LLaMA, T5).
Skilled in handling large-scale datasets with data engineering, feature extraction, and model evaluation capabilities.
Familiar with deploying and optimizing AI in scalable, production environments using cloud technologies and containerization.