As a Machine Learning Architect, you will lead cross-functional technical teams across distributed systems, program management, app engineering, and product teams. You will be responsible for designing and architecting microservices to support the full machine learning lifecycle, building scalable solutions, and ensuring high availability, low latency, and high throughout.
Location: Chennai/Bangalore/Hyderabad
Your Future Employer: Join a top-tier AI and Analytics firm, dedicated to solving complex challenges for Fortune 1000 companies. Our mission is to advance AI and analytics, providing certainty and shaping a better future. Recognized as a Great Place to Work-Certified™.
Responsibilities:
Leading cross-functional technical teams across various domains.
Designing and architect microservices for machine learning lifecycle.
Building scalable microservices architectures for high volume data requests and high concurrency.
Architect solutions for high availability, low latency, and high throughput.
Improving system reliability by troubleshooting and investigating issues.
Building reusable patterns, libraries, and perfect test cases.
Writing high-performance, reliable, and maintainable code.
Interfacing with various interactive services and clients, including web and mobile applications
Requirements:
Core:
Experience in leading a team and handling customer stakeholders.
Hands-on experience in building scalable solutions using microservices and deploying ML algorithms in production.
Excellent programming skills in Python, with a good understanding of Go as a plus.
Experience in Test Driven Development.
Expert knowledge of building and maintaining production systems.
Experience in cloud platforms like AWS, Azure, or Google.
Frontend:
Exposure to front-end frameworks like React or Angular.
Experience in creating reusable components and libraries.
Experience in optimizing the performance of web applications.
Exposure to mobile application development is a plus.
Database:
Proficient with SQL and RDBMS such as Postgres, MySQL, SQL Server, or Oracle.
Experience with NoSQL DBMSs such as MongoDB.
Familiarity with ORM libraries like SQLAlchemy.
Experience in optimizing the performance of queries.
Backend:
Experience in server-side/back-end full cycle product development in a production environment using Python.
Hands-on experience with Python server frameworks like Django, Flask, or FastAPI.
Strong testing and debugging skills.
Strong troubleshooting skills spanning systems (Linux), network, and applications.
Understanding of the threading limitations of Python and multi-process architecture.
CI/CD:
Good knowledge of software engineering practices like version control (GIT) and DevOps.
Understanding of ML/AI pipeline development life cycle and tools, with MLOps knowledge.
Project Management:
Experience leveraging Agile and Lean software development methodologies.
What's in it for you:
Dynamic, innovative work environment
Opportunities for professional development and occasional travel
Reach us- If this role excites you, please send your resume to khushbu.tanwar@crescendogroup.in.
Disclaimer: Crescendo Global specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging and memorable job search and leadership hiring experience. Crescendo Global does not discriminate based on race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Note: We receive numerous applications daily, making it challenging to respond to each candidate. If you do not hear back from us within a week, please assume your profile has not been shortlisted. Your patience is highly appreciated.
Keywords: Machine Learning Architect, Microservices, Python, Django, Flask, FastAPI, React, Angular, SQL, NoSQL, AWS, Azure, Google Cloud, MLOps, Agile, Lean, Test Driven Development, High Availability, Low Latency, ML engineer fullstack, Crescendo Gloabl.