Senior Engineer - AIML

Litmus7; Bengaluru; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Litmus7 is seeking an experienced ML Engineer to design, develop, and deploy scalable AI solutions in production. The role focuses on building generative AI and NLP systems, leveraging Langgraph, ADK and Autogen frameworks, and integrating with cloud-based deployment pipelines.

You will collaborate with cross-functional teams, implement MLOps practices, and continuously advance state-of-the-art AI techniques to deliver robust ML products.

Qualifications

• Minimum 5 years of experience in ML engineering and AI production deployments.
• Deep knowledge of ML algorithms including supervised/unsupervised, deep learning, and reinforcement learning.
• Solid experience in NLP including language models, text generation and sentiment analysis.
• Proven understanding of generative AI concepts such as diffusion models and transformers.
• Hands-on experience with generative AI applications (text, images, audio).
• Experience with MLOps and ML deployment pipelines in production.
• Proficiency in Python and ML frameworks (TensorFlow, PyTorch).
• Knowledge of cloud platforms (AWS, GCP, Azure) for scalable ML deployment.
• Ability to build NLP pipelines for generation, summarization and translation.
• Collaborate with cross-functional teams to translate AI requirements into implementations.
• Bachelor’s/Master’s in CS/AI/Statistics/Math or related field.

Skills

ML engineering

AI development

ML algorithms

NLP

Generative AI

Agentic AI

Python

TensorFlow

PyTorch

MLOps

Model deployment

Cloud platforms

Data preprocessing

Team collaboration

Education

Bachelor’s or Master’s degree in computer science, AI, Statistics, Math or related fields

Tools

Langgraph

ADK

Autogen

TensorFlow

PyTorch

AWS

GCP

Azure

CI/CD pipelines

Job description

• Minimum 5 years of experience in machine learning engineering and AI development, building and deploying and scaling AI based solutions in production.
• 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.
• 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.