AI/ML Engineer

agilisium; Chennai District; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

agilisium seeks an AI/ML Developer with 5–10 years’ experience to design, train, and deploy production-grade ML and GenAI models across NLP, computer vision and data modeling. You will leverage TensorFlow, Keras, PyTorch and LangChain to build scalable solutions.

Responsibilities include end-to-end ML pipelines, MLOps integration, CI/CD automation, and containerization with Docker/Kubernetes on cloud platforms such as AWS, GCP, or Azure. Strong collaboration with data engineers is essential.

Qualifications

• 5–10 years of experience in AI/ML development with minimum 4 years in relevant roles.
• Strong programming skills in Python and ML lifecycle concepts.
• Experience building production-grade ML/GenAI models and pipelines.

Responsibilities

• Design, develop, train, and deploy ML/GenAI models across NLP, CV, and structured data.
• Build scalable DL/LLM solutions using TensorFlow, Keras, PyTorch, and LangChain.
• Develop end-to-end ML pipelines with data ingestion, feature engineering, modeling, and deployment.
• Implement MLOps practices using MLflow, Kubeflow, Airflow, DVC, Weights & Biases; enable CI/CD.
• Containerize with Docker and orchestrate via Kubernetes; integrate with cloud services (AWS, GCP, Azure).
• Collaborate with data engineers to access and prepare large datasets; ensure monitoring and retraining workflows.
• Evaluate third-party GenAI APIs and foundational models and maintain experiment tracking and versioning.

Skills

Python

Generative AI

Machine Learning

AI/ML

Tools

TensorFlow

Keras

PyTorch

LangChain

SageMaker

Vertex AI

Azure ML

Docker

Kubernetes

MLflow

Kubeflow

Weights & Biases

Airflow

DVC

Prefect

Job description

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:

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

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

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

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

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

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

Containerize applications using Docker and orchestrate scalable deployments via Kubernetes .

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Why Join Us?

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

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

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

Accelerate your growth through certification programs and continuous learning

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