Job Description

About Us

We turn customer challenges into growth opportunities. Material is a global strategy partner to the world's most recognizable brands and innovative companies. Our people around the globe thrive by helping organizations design and deliver rewarding customer experiences. We use deep human insights, design innovation and data to create experiences powered by modern technology. Our approaches speed engagement and growth for the companies we work with and transform relationships between businesses and the people they serve. Srijan, a Material company, is a renowned global digital engineering firm with a reputation for solving complex technology problems using their deep technology expertise and leveraging strategic partnerships with top-tier technology partners

Job Title: Senior/Lead Data Scientist

Experience Required: 4 + Years

About the Role:

We are seeking a skilled and innovative

Machine Learning Engineer

with 4+ years of experience to join our AI/ML team. The ideal candidate will have strong expertise in

Computer Vision

,

Generative AI (GenAI)

, and

Deep Learning

, with a proven track record of deploying models in production environments using Python, MLOps best practices, and cloud platforms like Azure ML.

Key Responsibilities:

Design, develop, and deploy AI/ML models for

Computer Vision

and

GenAI use cases

Build, fine-tune, and evaluate

deep learning architectures

(CNNs, Transformers, Diffusion models, etc.) Collaborate with product and engineering teams to integrate models into scalable pipelines and applications Manage the complete ML lifecycle using

MLOps

practices (versioning, CI/CD, monitoring, retraining) Develop reusable Python modules and maintain high-quality, production-grade ML code Work with

Azure Machine Learning Services

for training, inference, and model management Analyze large-scale datasets, extract insights, and prepare them for model training and validation Document technical designs, experiments, and decision-making processes

Required Skills & Experience:

4-5 years of hands-on experience in

Machine Learning and Deep Learning

Strong experience in

Computer Vision

tasks such as object detection, image segmentation, OCR, etc. Practical knowledge and implementation experience in

Generative AI

(LLMs, diffusion models, embeddings) Solid programming skills in

Python

, with experience using frameworks like

PyTorch

,

TensorFlow

,

OpenCV

,

Transformers (HuggingFace)

, etc. Good understanding of

MLOps concepts

, model deployment, and lifecycle management Experience with

cloud platforms

, preferably

Azure ML

, for scalable model training and deployment Familiarity with data labeling tools, synthetic data generation, and model interpretability Strong problem-solving, debugging, and communication skills

Good to Have:

Experience with

NLP

,

multimodal learning

, or

3D computer vision

Familiarity with containerization tools (Docker, Kubernetes) Experience in building

end-to-end ML pipelines

using MLflow, DVC, or similar tools Exposure to

CI/CD pipelines

for ML projects and working in agile development environments

Education:

* Bachelor's or Master's degree in

Computer Science, Electrical Engineering, Data Science

, or a related field