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Engaged Employer

Srijan Technologies

Compare

3.6

based on 114 Reviews

79 Srijan Technologies Jobs

Data Science Architect

Srijan Material Plus

3.6

based on 114 Reviews

8-12 years

Gurgaon / Gurugram

1 vacancy

Data Science Architect

Srijan Technologies

posted 8d ago

Job Role Insights

Flexible timing

Key skills for the job

Medical Coding Python Healthcare Machine Learning Backend Architectural Design

+ 2 more

Job Description

As the Data Science Architect, you will play a crucial role in technical leadership, overseeing the entire data science lifecycle, and collaborating with cross functional teams. This position requires hands-on experience in architecting and implementing scalable data science solutions, along with a deep understanding of machine learning, deep learning techniques and statistical modeling. Leadership and mentorship skills are essential for guiding a team of data scientists, machine learning engineers, and backend engineers. You will be instrumental in mentoring, shaping and executing the data science strategy, ensuring the successful deployment and orchestration of models in collaboration with Operations teams.

Responsibilities:

Demonstrated expertise with 8-12 years of hands-on experience in AI/ML, NLP, Python, and cloud platforms such as AWS/Azure/GCP, Docker, and Kubernetes.
Provide architectural vision for data science projects, ensuring alignment with overall business objectives.
Architect and design scalable solutions for various AI/ML solutions, tailored to specific requirements, spanning NLP, Computer/Machine Vision, Speech Recognition, Clustering, Segmentation, and Deep Learning.
Spearhead the conversation with technical and operation teams to facilitate the deployment and orchestration of models, ensuring seamless integration into production systems.
Provide architectural guidance to Ops teams to enhance the scalability and efficiency of deployed models.
Offer technical leadership and mentorship to the data science, machine learning, and backend engineering teams, emphasizing architectural best practices.
Foster a collaborative and innovative team culture, promoting continuous learning and development in architectural design and implementation.
Stay abreast of industry trends and emerging technologies in data science and architecture, bringing innovative ideas to enhance the organizations technical capabilities.
Effectively communicate complex technical concepts to both technical and non-technical stakeholders, ensuring a shared understanding of architectural decisions and implications.
Collaborate with key stakeholders, including business leaders and project managers, to align technical strategies with business goals.
Implement robust quality assurance processes to validate the accuracy and reliability of implemented models.
Collaborate with data quality teams to ensure high-quality, consistent, and reliable results.
Ensure thorough documentation of architectural designs, model implementations, and deployment processes, fostering transparency and knowledge sharing within the team.
Drive continuous improvement initiatives in data science architecture, incorporating feedback and lessons learned from model deployments to enhance future projects.
Establish and enforce best software engineering practices, accommodating common design patterns and Object-Oriented Programming (OOPs) principles, coding standards, documentation practices, and model version control within the team.

Must Have Skills:

8+ 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
Advanced proficiency in Python and relevant libraries/frameworks for data science and machine learning.
Demonstrated hands-on experience in architecting and implementing scalable data science solutions leveraging cloud services like AWS / Azure / GCP
Strong architectural design skills building highly scalable microservices and event driven solutions leveraging Cloud, Docker and Kubernetes, with the ability to provide a vision for data science projects aligned with overall business objectives.
Knowledge of both traditional as well awareness with existing state of the art methods in Machine Learning, NLP, Computer Vision, Speech Recognition, Transfer Learning, Text Analysis, Information Extraction and Retrieval with a proven track record of applying them to real problems.
Leadership experience guiding cross-functional teams in the development and deployment of AI solutions.
Proven experience overseeing the complete data science and modeling lifecycle, from ideation to deployment, ensuring projects are delivered on time and within scope.
Strong problem-solving skills and the ability to lead research initiatives to explore and integrate state-of-the-art techniques into data science projects.
Experience implementing robust quality assurance processes to validate the accuracy and reliability of models.
Strong documentation skills, ensuring thorough documentation of architectural designs, model implementations, and deployment processes.
Strong verbal and written communication skills to establish proper communications within the team and clients.

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 peoples 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.