Senior AIML Engineer

L7Commerce; Ernakulam; On-site; INR 1,500,000 - 2,200,000; Full time

Job summary

L7Commerce in Kochi/Bangalore seeks an experienced Machine Learning Engineer to design, develop and optimize ML models for diverse applications. You will build NLP pipelines and deploy cutting-edge generative AI solutions.

The role emphasizes MLOps, model training and deployment, collaboration with cross-functional teams, and adherence to responsible AI practices in an agile environment. Strong Python and cloud skills are required.

Qualifications

• Minimum 5 years of experience in ML engineering and AI development.
• Deep expertise in ML algorithms and techniques including supervised/unsupervised learning, deep learning and reinforcement learning.
• Strong NLP experience with language models, text generation and sentiment analysis.
• Familiarity with generative AI concepts such as text/image/audio synthesis, diffusion models and transformers.
• Hands-on experience with Agentic AI and real-world applications.
• Experience with ML deployment pipelines and MLOps practices.
• Proficiency in Python and ML frameworks like TensorFlow/PyTorch.
• Knowledge of cloud platforms (AWS, GCP, Azure) and scalable deployment tools.
• Experience with data processing, feature engineering and model training on large datasets.
• Awareness of responsible AI, governance and risk mitigation.

Responsibilities

• Design, develop and optimize ML models for diverse applications.
• Build NLP pipelines for text generation, summarization and translation.
• Develop and deploy cutting-edge generative AI and Agentic AI applications.
• Implement MLOps: training, evaluation, deployment, monitoring and maintenance.
• Integrate ML capabilities into existing products or new AI-powered apps.
• Perform data mining, cleaning, preparation and augmentation for robust models.
• Collaborate with cross-functional teams to translate AI requirements into code.
• Ensure model performance, scalability and reliability.
• Research state-of-the-art AI/ML algorithms and techniques.
• Manage end-to-end ML lifecycle from data to production.

Skills

Machine learning engineering

AI development

Python

Strong communication

Agile development

Problem solving

MLOps

Data processing

Model deployment

Cloud platforms

Education

Bachelor's or Master's in CS/AI/Statistics/Math

Tools

Langgraph

ADK

Autogen

TensorFlow

PyTorch

AWS

GCP

Azure

Job description

Kochi | Bangalore

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.