Ai Ml Engineer

Job Description: AI / ML Engineer (L2 / L3)

Position Titles: AI / ML Engineer (L2) | Senior AI / ML Engineer (L3)

Locations: Bengaluru / Mysuru (Hybrid / Onsite)

Role Status: Active

Total Openings: 2 (1 x L2, 1 x L3)

Experience Level: 3+ Years (L2) | 5+ Years (L3)

About the Role

We are looking for passionate AI/ML Engineers to join our team in Bengaluru or Mysuru. Depending on your experience level (L2 Mid-Level or L3 Senior Level), you will contribute to or lead the design, development, deployment, and optimization of machine learning and artificial intelligence solutions across our product suite.

• L2 Engineers focus on core model building, data processing pipelines, and production integration.
• L3 Engineers take ownership of system architecture, advanced model optimization, end-to-end MLOps infrastructure, and technical leadership/mentorship.

Key Responsibilities

Core Responsibilities (L2 & L3)

• Design, train, evaluate, and deploy machine learning and deep learning models to address core business challenges.
• Build robust data preprocessing and feature engineering pipelines.
• Expose ML capabilities via scalable REST/gRPC APIs (FastAPI/Flask) containerized with Docker.
• Collaborate with software developers, data engineers, and product stakeholders to integrate AI components into production applications.
• Monitor deployed model performance, track data/concept drift, and manage automated retraining pipelines.

Senior Responsibilities (L3 Additions)

• Lead the end-to-end technical lifecycle and system architecture for complex AI/ML projects.
• Build and maintain production MLOps pipelines (CI/CD for ML, model registries, automated evaluation) using tools like MLflow, Airflow, or Kubeflow.
• Optimize large-scale models (LLMs, GenAI, NLP, or Computer Vision architectures) for low latency, inference speed, and compute efficiency.
• Mentor junior and mid-level engineers (L1/L2), establish best coding practices, and conduct technical code reviews.

Qualifications & Requirements

CriteriaL2 RequirementL3 RequirementTotal Experience3+ years of experience in ML / Software Engineering5+ years of production experience in ML / MLOpsProgrammingStrong proficiency in Python (NumPy, Pandas, Scikit-learn)Advanced Python mastery with a solid background in software design patternsML FrameworksHands-on experience with PyTorch, TensorFlow, or KerasDeep mastery of PyTorch/TensorFlow and custom neural network designDeployment & CloudBasic MLOps experience with Docker, APIs, and cloud basics (AWS/GCP/Azure)Proven MLOps experience (Kubernetes, MLflow/Airflow, Cloud CI/CD)Advanced AIFamiliarity with basic Deep Learning / NLP / Vision conceptsHands-on experience with GenAI, LLM fine-tuning, RAG, or Vector DatabasesEducationBachelors/Master’s degree in CS, Data Science, or related technical fieldBachelor’s/Master’s degree in CS, Data Science, or related technical field