Job Information

Date Opened

03/02/2026

City

Chennai

Country

India

Job Role

AI/ML Engineering

State/Province

Tamil Nadu

Industry

IT Services

Job Type

Full time

Zip/Postal Code

600096

Job Description

Walkin Date: 14th March 2026

Time: 10:30 am to 3:00pm

Location: Chennai

Venue: World Trade Center 1st floor of Tower B, 5/142, Rajiv Gandhi Salai, Perungudi, Chennai, Tamil Nadu 600096

AI/ML Developer

Years of experience: 5- 10 years (with minimum 4 years of relevant experience

Work mode: WFO- Chennai/Hyderabad/Pune (mandate)

Notice Period: Immediate to 60 days

Key skills: Python, Tensorflow, Generative AI ,AI/ Machine Learning, AWS , Fast API (Mandate)

Good to have skills: Agentic AI, Open AI, Claude

Accountabilities:

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Design, develop, train, and deploy production-grade ML and GenAI models across use cases including NLP, computer vision, and structured data modeling.

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Leverage frameworks such as TensorFlow, Keras, PyTorch, and LangChain to build scalable deep learning and LLM-based solutions.

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Develop and maintain end-to-end ML pipelines with reusable, modular components for data ingestion, feature engineering, model training, and deployment.

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Implement and manage models on cloud platforms such as AWS, GCP, or Azure using services like SageMaker, Vertex AI, or Azure ML.

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Apply MLOps best practices using tools like MLflow, Kubeflow, Weights & Biases, Airflow, DVC, and Prefect to ensure scalable and reliable ML delivery.

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Incorporate CI/CD pipelines (using Jenkins, GitHub Actions, or similar) to automate testing, packaging, and deployment of ML workloads.

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Containerize applications using Docker and orchestrate scalable deployments via Kubernetes.

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Integrate LLMs with APIs and external systems using LangChain, Vector Databases (e.g., FAISS, Pinecone), and prompt engineering best practices.

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Collaborate closely with data engineers to access, prepare, and transform large-scale structured and unstructured datasets for ML pipelines.

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Build monitoring and retraining workflows to ensure models remain performant and robust in production.

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Evaluate and integrate third-party GenAI APIs or foundational models where appropriate to accelerate delivery.

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Maintain rigorous experiment tracking, hyper parameter tuning, and model versioning.

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Champion industry standards and evolving practices in ML lifecycle management, cloud-native AI architectures, and responsible AI.

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Work across global, multi-functional teams, including architects, principal engineers, and domain experts.

Essential Skills / Experience:

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Hands-on experience in developing, training, and deploying ML/DL/GenAI models.

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Solid programming expertise in Python with proficiency in machine learning, data manipulation, and scripting.

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Demonstrated experience working with Generative AI models and Large Language Models (LLMs) such as GPT, LLaMA, Claude,



or similar.

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Hands-on experience with deep learning frameworks like TensorFlow, Keras, or PyTorch.

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Experience in LangChain or similar frameworks for LLM-based app orchestration.

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Proven ability to implement and scale CI/CD pipelines for ML workflows using tools like Jenkins, GitHub, GitLab, or Bitbucket Pipelines.

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Familiarity with containerization (Docker) and orchestration tools like Kubernetes.

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Experience working with cloud platforms (AWS, Azure, GCP) and relevant AI/ML services such as SageMaker, Vertex AI, or Azure ML Studio.

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Knowledge of MLOps tools such as MLflow, Kubeflow, DVC, Weights & Biases, Airflow, and Prefect.

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Strong understanding of data engineering concepts, including batch/streaming pipelines, data lakes, and real-time processing (e.g., Kafka).

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Solid grasp of statistical modeling, machine learning algorithms, and evaluation metrics.

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Experience with version control systems (Git) and collaborative development workflows.

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Ability to translate complex business needs into scalable ML architectures and systems.

Why Join Us?

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Build and deploy cutting-edge LLM and GenAI applications that solve real-world problems

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Collaborate with thought leaders across engineering, product, and data science

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Work in a dynamic, cloud-native, and automation-driven AI environment

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Accelerate your growth through certification programs and continuous learning

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Be part of an innovation-first team that values openness, agility, and integrity

About Agilisium:

📌 AI/ML Engineer (India)
🏢 Agilisium
📍 India