AI/ML Engineer

Face to face -Walkin Drive: AI/ML Developer, AI engineer
Date: 29th Nov 2025
Time: 10 AM to 3 PM
Venue: World Trade Center 1st floor of Tower B, 5/142, Rajiv Gandhi Salai, Perungudi, Chennai, Tamil Nadu 600096
Years of experience : 3- 10 years
Introduction to the Role:

Are you passionate about building intelligent systems that learn, adapt, and deliver real-world value? Join our high-impact AI & Machine Learning Engineering team and be a key contributor in shaping the next generation of intelligent applications. As an AI/ML Engineer, you’ll have the unique opportunity to develop, deploy, and scale advanced ML and Generative AI (GenAI) solutions in production environments, leveraging cutting-edge technologies, frameworks, and cloud platforms.

In this role, you will collaborate with cross-functional teams including data engineers, product managers, MLOps engineers, and architects to design and implement production-grade AI solutions across domains. If you're looking to work at the intersection of deep learning, GenAI, cloud computing, and MLOps — this is the role for you.

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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  3–10 years of hands-on experience in developing, training, and deploying ML/DL/GenAI models.

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  Strong 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:

• Agilisium, is an AWS technology Advanced Consulting Partner that enables companies to accelerate their "Data-to-Insights-Leap.
  
• With $50+ million in annual revenue and over 30% year-over-year growth, Agilisium is one of the fastest-growing IT solution providers in Southern California.
  
• Our most important asset? People.
  
• Talent management plays a vital role in our business strategy.