Senior Engineer - AIML

Litmus7 Systems Consulting Ltd.; India; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Litmus7 Systems Consulting Ltd. seeks an experienced ML engineer to build, deploy and scale AI-powered solutions in production. You will apply ML algorithms, NLP models and generative AI techniques across domains, delivering robust, scalable systems.

The role requires hands-on Python coding with TensorFlow or PyTorch, experience with MLOps, cloud deployment on AWS/GCP/Azure, and collaboration with cross-functional teams to translate AI requirements into production-ready features.

Qualifications

• 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 ML 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.

Skills

Machine learning

Deep learning

NLP

Generative AI

MLOps

Python

TensorFlow

PyTorch

Cloud platforms

Education

Bachelor’s or Master’s degree in CS/AI/Statistics/Math

Tools

Langgraph

ADK

Autogen

AWS

GCP

Azure

Job description

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