Senior Engineer AI

L7Commerce; Ernakulam; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

L7Commerce seeks a senior ML engineer to design, develop and deploy cutting‑edge AI systems across multiple domains. The role emphasizes NLP, generative AI, and responsible AI practices, with a focus on real‑world applications and scalable MLOps pipelines in a distributed cloud environment.

The ideal candidate will lead model training, evaluation, deployment, and monitoring while collaborating with cross‑functional teams to translate business needs into robust AI solutions.

Qualifications

• 5+ years of experience in ML engineering and AI development.
• Deep expertise in ML algorithms including supervised/unsupervised learning, deep learning and reinforcement learning.
• Strong NLP experience with language models, text generation and sentiment analysis.
• Knowledge of generative AI concepts like diffusion models and transformers.
• Experience with Agentic AI and building real-world applications.
• Familiarity with Langgraph, ADK, Autogen.
• Hands-on deployment of generative AI applications.
• Experience with MLOps and deployment pipelines.
• Proficient in Python and ML frameworks such as TensorFlow and PyTorch.
• Knowledge of AWS/GCP/Azure and scalable deployment tools.
• Experience with data processing and feature engineering on large datasets.
• Familiarity with responsible AI, governance and risk mitigation.
• Understanding software engineering practices for ML systems.
• Design and optimize ML models for diverse domains.
• Build NLP pipelines for text generation, summarization, translation.
• Develop generative AI and Agentic AI applications.
• Implement MLOps—training, evaluation, deployment, monitoring.

Skills

ML engineer

AI development

NLP expertise

Generative AI

Agentic AI

Agentic frameworks

MLOps pipelines

Python

TensorFlow

PyTorch

Cloud platforms

Data processing

Responsible AI

ML Software

Text generation

Model training

Job description

Locations: Kochi, Bangalore, Trivandrum

Qualifications

• 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 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.
• 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.
• 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.