We are seeking a skilled and innovative Machine Learning Engineer with 45 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 - 6 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 :

- Bachelors or Masters degree in Computer Science, Electrical Engineering, Data Science, or a related field

About US :

We turn customer challenges into growth opportunities. Material is a global strategy partner to the worlds 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. Be a part of an Awesome Tribe

Why work for Material :

In addition to fulfilling, high-impact work, company culture and benefits are integral to determining if a job is a right fit for you. Heres a bit about who we are and highlights around What we offer.

Who We Are & What We Care About :

Material is a global company and we work with best-of-class brands worldwide. We also create and launch new brands and products, putting innovation and value creation at the center of our practice. Our clients are in the top of their class, across industry sectors from technology to retail, transportation, finance and healthcare.

Material employees join a peer group of exceptionally talented colleagues across the company, the country, and even the world. We develop capabilities, craft and leading-edge market offerings across seven global practices including strategy and insights, design, data & analytics, technology and tracking. Our engagement management team makes it all hum for clients.
We prize inclusion and interconnectedness. We amplify our impact through the people, perspectives, and expertise we engage in our work. Our commitment to deep human understanding combined with a science & systems approach uniquely equips us to bring a rich frame of reference to our work.

A community focused on learning and making an impact. Material is an outcomes focused company. We create experiences that matter, create new value and make a difference in people's lives.

What We Offer :

Professional Development and Mentorship. Hybrid work mode with remote friendly workplace. (6 times in a row Great Place To Work (Certified). Health and Family Insurance. 40+ Leaves per year along with maternity & paternity leaves. Wellness, meditation and Counselling sessions.