About the role
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:
Design, develop, train, and deploy production-gradeML and GenAI models across use cases including NLP, computer vision, and structured data modeling.
Leverage frameworks such asTensorFlow,Keras,PyTorch, andLangChainto build scalable deep learning and LLM-based solutions.
Develop and maintainend-to-end ML pipelineswith reusable, modular components for data ingestion, feature engineering, model training, and deployment.
Implement and manage models oncloud platformssuch asAWS,GCP, orAzureusing services likeSageMaker,Vertex AI, orAzure ML.
ApplyMLOps best practicesusing tools likeMLflow,Kubeflow,Weights & Biases,Airflow,DVC, andPrefectto ensure scalable and reliable ML delivery.
IncorporateCI/CD pipelines(using Jenkins, GitHub Actions, or similar) to automate testing, packaging, and deployment of ML workloads.
Containerize applications usingDockerand orchestrate scalable deployments viaKubernetes.
Integrate LLMs with APIs and external systems using LangChain, Vector Databases (e.g., FAISS, Pinecone), and prompt engineering best practices.
Collaborate closely withdata engineersto 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 integratethird-party GenAI APIs or foundational modelswhere appropriate to accelerate delivery.
Maintain rigorous experiment tracking, hyper parameter tuning, and model versioning.
Champion industry standards and evolving practices inML lifecycle management,cloud-native AI architectures, and responsible AI.
Work across global, multi-functional teams, including architects, principal engineers, and domain experts.
Essential Skills / Experience:
Hands-on experience in developing, training, and deployingML/DL/GenAI models.
Strong programming expertise inPythonwith proficiency inmachine learning,data manipulation, andscripting.
Demonstrated experience working withGenerative AImodels andLarge Language Models (LLMs)such as GPT, LLaMA, Claude, or similar.
Hands-on experience withdeep learning frameworkslikeTensorFlow,Keras, orPyTorch.
Experience inLangChainor similar frameworks for LLM-based app orchestration.
Proven ability to implement and scaleCI/CD pipelinesfor ML workflows using tools likeJenkins,GitHub,GitLab, orBitbucket Pipelines.
Familiarity withcontainerization (Docker)and orchestration tools likeKubernetes.
Experience working withcloud platforms(AWS, Azure, GCP) and relevant AI/ML services such asSageMaker,Vertex AI, orAzure ML Studio.
Knowledge ofMLOps toolssuch asMLflow,Kubeflow,DVC,Weights & Biases,Airflow, andPrefect.
Strong understanding ofdata engineering concepts, including batch/streaming pipelines, data lakes, and real-time processing (e.g.,Kafka).
Solid grasp ofstatistical modeling,machine learning algorithms, and evaluation metrics.
Experience withversion 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-edgeLLM and GenAI applicationsthat 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
About Agilisium: