Lead Data Scientist
Job Description
Location: Gurgaon, Bangalore, Delhi NCR,None,None
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. Be a part of an Awesome Tribe
Responsibilities:
Demonstrated expertise with 5-10 years of hands-on experience in AI/ML, NLP, Computer Vision, Python, and cloud platforms such as Azure.
Proven proficiency in advanced technologies including Computer Vision, NLP, Search systems, Generative AI and Docker.
Lead the ideation, research, and development of sophisticated machine learning models, transforming them into a solution for retailers, employing cutting-edge techniques such as natural language processing, computer vision, and deep learning.
Incorporate MLOps principles to ensure scalability, repeatability, and automation in the end-to-end machine learning lifecycle.
Exhibit agility by rapidly prototyping solutions and building models to assess the feasibility of various solution approaches.
Develop robust, scalable, and production-grade data pipelines and machine learning models to address key business problems, regardless of the volume or diversity of data sets.
Construct scalable AI/ML solutions, tailored to specific requirements, spanning NLP, Computer/Machine Vision, Clustering, Segmentation, and Deep Learning.
Optimize models for performance, taking into consideration real-world constraints and requirements.
Write reusable code following the best software engineering practices, accommodating common design patterns and Object-Oriented Programming (OOPs) principles.
Establish and enforce coding standards, documentation practices, and model version control within the team.
Spearhead discussions with Operations teams, ensuring the smooth deployment, optimization, and orchestration of machine learning models.
Work closely with cross-functional teams, including engineering, product management, and content creation, to gather requirements and deliver impactful, technically sound solutions.
Must Have Skills:
5+ years of relevant data science experience in a delivery focused team
Strong coding ability in Python, familiarity with relevant libraries (e.g., TensorFlow, PyTorch), and general software development skills (source code management, debugging, testing, deployment, etc.) is a must
Knowledge of both traditional as well awareness with existing state of the art methods in Machine Learning, NLP, Computer Vision, Transfer Learning, Text Analysis, Information Extraction, Generative AI and Retrieval with a proven track record of applying them to real problems.
Experience with end-to-end model deployment and orchestration in production environments.
Experience working on cloud platform – Azure
Experience in microservice based architectures with model containerization using Docker is a must (Kubernetes experience will be an added advantage)
Experience working with relational database, database design, blob storage
Ability to communicate the requirements and deliverables effectively to both technical teams as well as non-technical domain specialists
Strong team player; ability to provide both a strong individual contribution but also work as a team and contribute to wider goals is a must in this dynamic environment
Strong verbal and written communication skills to establish proper communications within the team and clients
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. Here’s 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.
