MLOps Engineer

2 months ago

GurgaonGurugramremote, India SunKing Full time

The team you would join :

The Global Analytics and Technology function at Sun King helps us build technology enabled solutions based on data driven insights. We have a team of data scientists, data engineers, analysts, technical architects, android developers, web designers, backend engineers, product managers and UI/UX developers working on developing cutting edge solutions for the underserved billions to solve our business problems (Example: last mile delivery, Credit underwriting, credit risk management, Distribution channel digitization, churn management etc.)

About the role :

We are seeking a skilled MLOps Engineer with 4-5 years of experience to design, implement, and manage machine learning operations that align with our company's strategic goals. The ideal candidate will have a strong background in machine learning, software engineering, and data system architectures. You will play a critical role in enhancing our machine learning lifecycle from model development to production, ensuring scalability, efficiency, and reliability.

What you will be expected to do :

1) Design and implement robust MLOps solutions that integrate with existing CI/CD pipelines and data platforms.

2) Develop automated tools and frameworks for model training, testing, deployment, and monitoring.

3) Partnering with data scientists and software engineers to ensure operational and architectural alignment.

4) Maintain and optimize machine learning infrastructure for performance and scalability.

5) Implement best practices for data governance, security, and compliance in machine learning operations.

6) Continuously research and integrate new MLOps tools and methodologies to enhance workflow efficiencies.

You might be a strong candidate if you :

1) Bachelor's Degree in Computer Science or a similar quantitative field. Master's degree or PhD preferred

2) 4+ years of experience in Machine Learning and related fields

3) 2+ years of experience in an MLOps or related role, with a proven track record of deploying and managing ML systems in production.

4) Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python, Scala).

5) Experience with containerization technologies (e.g., Docker, Kubernetes) and cloud services (e.g., AWS, Azure, Google Cloud).

6) Familiarity with data orchestration tools (e.g., Apache Airflow) and model monitoring solutions.

7) Excellent problem-solving, teamwork, and communication skills.

8) Certifications in relevant technologies (e.g., AWS Machine Learning, Kubernetes) is good to have.

What we offer (in addition to compensation and statutory benefits) :

1) A platform for professional growth in a rapidly expanding, high-impact sector.

2) Immerse in a collaborative culture, energized by employees of Sun King who are collectively motivated by fostering a transformative, sustainable venture.

3) A genuinely global environment: Engage and learn alongside a diverse group from varied geographies and backgrounds.

4) Tailored learning pathways through the Sun King Center for Leadership to elevate your leadership and managerial capabilities.

(ref:hirist.tech)

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