Job Description

Job Information

Date Opened


07/11/2025
City


Saidapet
Country


India
Job Role


AI/ML Engineering
State/Province


Tamil Nadu
Industry


IT Services
Job Type


Full time
Zip/Postal Code


600096

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:

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, hyperparameter 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.

Essential Skills / Experience:

4-7 years

of 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.

Desirable Skills / Experience:

Working knowledge of

vector databases

(e.g.,

FAISS

,

Pinecone

,

Weaviate

) and

semantic search

implementation. Hands-on experience with

prompt engineering

, fine-tuning LLMs, or using techniques like

LoRA

,

PEFT

,

RLHF

. Familiarity with

data governance

,

privacy

, and responsible AI guidelines (bias detection, explainability, etc.). Certifications in AWS, Azure, GCP, or ML/AI specializations. Experience in high-compliance industries like

pharma

,

banking

, or

healthcare

. Familiarity with agile methodologies and working in iterative, sprint-based teams.

Work Environment & Collaboration:

You will be a key member of an agile, forward-thinking AI/ML team that values curiosity, excellence, and impact. Our hybrid work culture promotes flexibility while encouraging regular in-person collaboration to foster innovation and team synergy. You'll have access to the latest technologies, mentorship, and continuous learning opportunities through hands-on projects and professional development resources.

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

About Agilisium -

Agilisium, is an AWS technology Advanced Consulting Partner that enables companies to accelerate their "Data-to-Insights-Leap. With $25+ million in annual revenue and over 40% 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. We're looking for "drivers"; big thinkers with growth and strategic mindset -- people who are committed to customer obsession, aren't afraid to experiment with new ideas. And we are all about finding and nurturing individuals who are ready to do great work. * At Agilisium, you'll collaborate with great minds while being challenged to meet and exceed your potential