Senior Engineer AI

Litmus7 Systems Consulting Ltd; Ernakulam, Thiruvananthapuram, Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Litmus7 Systems Consulting Ltd in India seeks an experienced Machine Learning Engineer to design, develop and deploy cutting-edge ML and Generative AI applications. You will build NLP pipelines, work with Agentic AI concepts, and deploy models at scale across cloud platforms.

Strong Python and frameworks like TensorFlow/PyTorch required; experience with MLops and responsible AI practices is essential. You will collaborate with cross-functional teams to translate business problems into robust ML

Qualifications

• 5+ years of experience in machine learning engineering and AI development.
• Deep knowledge of ML algorithms incl. supervised/unsupervised, deep learning, reinforcement learning.
• Strong experience in NLP: language models, text generation, sentiment analysis.
• Experience with generative AI concepts like diffusion models and transformers.
• Hands-on with Agentic AI and building real-world applications.
• Familiar with Langgraph, ADK, Autogen and similar frameworks.
• Proficient in Python and ML frameworks such as TensorFlow and PyTorch.
• Experience with MLOps and ML model deployment pipelines.
• Knowledge of cloud platforms (AWS, GCP, Azure) and scalable deployment tools.
• Awareness of responsible AI practices, ethics, governance and risk mitigation.
• Understand software engineering best practices for ML systems.

Skills

Machine learning

NLP

Generative AI

Agentic AI

Python

TensorFlow

PyTorch

ML deployment

MLOps

Cloud deployment

Transformers

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 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.