Mlops Architect
4 months ago
Bengaluru- Hybrid**About Us**
Affine is a global leader in professional services and solutions at the forefront of AI, data engineering, and cloud technologies. With our distributed team of over 500 analytics professionals across North America, Europe, and Asia, we are dedicated to enabling global enterprises to transform and innovate through the power of AI (Artificial Intelligence), data engineering, and cloud technologies.
We offer exciting career opportunities for professionals seeking to make a significant impact. Our diverse team represents a rich tapestry of talent, expertise, and cultural backgrounds. As an Affine employee, you'll be part of a dynamic and inclusive work environment that values collaboration, creativity, and continuous learning. Joining Affine means immersing yourself in a world of cutting-edge projects and solutions. We work closely with global clients spanning various sectors, including manufacturing, gaming, consumer packaged goods (CPG), media and entertainment, travel, and technology. As a member of our team, you'll have the opportunity to leverage your skills and contribute to transformative projects that shape industries and redefine the future.
We believe in investing in our people and nurturing their growth. Affine is dedicated to your professional development and offers a range of learning opportunities, mentorship programs, and career advancement paths. We also encourage innovation and thought leadership through our strong connections with esteemed institutions like UC Berkeley and premier Indian Institutes of Technology (IITs), ensuring that you stay at the forefront of industry advancements. At Affine, we foster a culture of collaboration, where ideas are valued, and teamwork is celebrated. As you work alongside some of the brightest minds in the industry, you'll be inspired to push boundaries, solve complex challenges, and make a lasting impact on the world.
**Key Responsibilities**:
- Drive the development and implementation of Affine’s ML platform accelerator solutions.
- Engage with clients to understand their business context
- Develop services and pipelines that support the entire Machine Learning Lifecycle, from development to deployment.
- Create scalable microservice architectures capable of handling high-volume data requests and high concurrency.
- Design solutions that ensure high availability, low latency, and high throughput.
- Improve system reliability by troubleshooting and resolving identified issues.
- Ensure customer satisfaction by providing technical oversight and guidance to project teams during the delivery of platform solutions.
**Job Requirement**
- 10-15 years of experience in server-side/back-end full-cycle product development in a production environment using Python.
- Over 4 years of experience in Data Science, Statistics, Data Mining, hypothesis validation, and algorithm design, with strong familiarity with modern ML stacks (e.g., Scikit-Learn, NLP, PyTorch).
- A minimum of 3 years' experience in managing production deployments on major cloud platforms, including Azure, Google Cloud or AWS
- 3+ years of core experience as a lead engineer in a machine learning-enabled product platform within a backend role.
- A strong understanding of MLOps concepts, including batch and real-time model deployment on modern cloud stacks.
- Proficient in Python programming, with a solid foundation in Data Structures and Algorithms.
- Skilled in SQL and RDBMS such as PostgreSQL, MySQL, SQL Server, and Oracle, as well as familiarity with NoSQL databases like Cosmos DB or MongoDB.
- Hands-on experience with various cloud database technologies, including Redshift, Cosmos DB, and SQL Server.
- Knowledge of DevOps practices and deployment processes, along with a strong grasp of CI/CD technologies and observability.
- Proven experience in building scalable data pipelines, event-driven services, and designing and deploying machine learning algorithms in production environments.
- Ability to thrive in fast-paced development settings and possess strong zero-to-one build skills.
- Excellent skills in creating technical specification documentation and structuring release cycles.
- Experience with Python server frameworks like Flask and FastAPI.
- Experience implementing event-driven architectures and streaming data technologies such as Apache Kafka and Apache Nifi.
- Strong knowledge of version control systems (GIT), containerization using Docker, etc.
- Proven experience managing a live product or platform while collaborating effectively with product managers and business stakeholders to achieve business goals.
- Passionate about building high-performing teams and promoting efficient organizational structures.
- High integrity and a strong desire for continuous learning and growth as a software engineer.
- Bachelor’s degree in computer science or a related field.
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