24 Oct
Andela
Shivamogga
Principal DevOps Engineer (MLOps)
Andela
Location Requirement: India
About Andela
Andela exists to connect brilliance and opportunity. Since 2014, we have been dedicated to breaking down global barriers and accelerating the future of work for both technologists and organizations around the world. For technologists, Andela offers competitive long-term career opportunities with leading organizations, access to a global community of professionals, and educational opportunities with leading technology providers.
At Andela, we’re deeply passionate about creating long-lasting and transformative growth opportunities for all - and doing it in an E.P.I.C.
way! We’re excited to continue building our remote-first team with incredible people like you. After applying for this role, you will join our Andela Community of brilliant technologists by passing a technical screening and live interview. As a community member, you’ll have access to many exclusive technologist roles. Join Andela today to access this opportunity and more in our global marketplace!
Our roles are typically filled at lightning speed, so if you’re considering applying, get your application in quickly!
Andela´s Benefits:
-- 100% payment in USD.
About the role
The ideal candidate will be:
- Problem solver: you excel at understanding and solving complex problems in a proactive way.
- Quality communicator: you can break down complex or difficult topics and present these verbally, and in writing
- Ownership: you love being responsible for owning and improving AI solutions
- Sharing: you're excited by the opportunity to establish best practices for the team through leading by example and promoting culture change
- Curiosity:
you are innately curious, and have a passion for learning new things
- Passionate: you have a passion for all things AI and ML and want to share that with the team
Responsibilities
- Contribute to the MLOps culture and practices enabling the team to create solutions with less friction and solid security, and reliability.
- Add expertise on ML Pipelines (Model serving, Model performance monitoring)
- Contribute to design, refinements, optimizations, and scalability for systems operating machine learning pipelines at web scales
- Build and lead building automated deployments and operations of AI based solutions
- Work directly with team to enable successful deployments and maintainable production systems.
Additional Responsibilities
- Provide monthly training sessions to the team on current trends in the field and help the team members ramp up their technical skills
- Communicate effectively with cross-functional teams and stakeholders, including other leader
- Be proactive and vocal in order to raise blockers and challenges that affects the development of the team and solve them
- Propose new ideas and innovative solutions
- Identify and fix gaps in the existing codebase and technologies used
Qualifications
- Bachelor’s degree in a STEM field such as Statistics, Math, Engineering, Information Systems, etc.
- Experience with MLOps lifecycle management
- Docker and containerization
- Kubernetes and container orchestration platforms
- Infrastructure-as-code (e.g., Terraform, Ansible, Chef)
- Python production level coding, including best practices
- AWS including, but not limited to, S3, EKS, EMR, Athena, Glue, Lambda, Kinesis, MSK, Sagemaker, SQS and SNS
- CI/CD tools (Jenkins or GitHub Actions).
- Good communication and presentation skills to explain technical solutions to either technical peers or non-technical stakeholders.
- Willingness to collaborate with colleagues to achieve repeatable high quality outcomes as a team.
Preferred Qualifications
- Master’s degree in a STEM field such as Statistics, Math, Engineering, Information Systems, etc.
- Apache spark
- Airflow
- Certification in AWS
- Understanding of test-driven development. Willingness to improve test coverage of existing codebase.
Required skills
Machine Learning (4 - 6 yrs)
Kubernetes (4 - 6 yrs)
Python (7 - 9 yrs)
Docker (7 - 9 yrs)
AWS (Amazon Web Services) (7 - 9 yrs)
Terraform (7 - 9 yrs)
GitHub Actions (4 - 6 yrs)
Jenkins (4 - 6 yrs)
Optional skills
SQL (4 - 6 yrs)
Data Science (4 - 6 yrs)
Artificial Intelligence (4 - 6 yrs)
Apache Spark (4 - 6 yrs)
Apache Airflow (4 - 6 yrs)
Must-Haves: Docker, Kubernetes, Terraform, Jenkins or GitHub Actions, CI/CD, AWS (Sagemaker, S3, etc), Python (production level coding and best practices), ML experience
Nice to have: SQL, full MLOps lifecycle, Airflow, AWS certifications
Main job time zone: EST
Time zone overlap requirements: 5+ hours with EST (9 am - 2 pm)
Location Requirements: India
Working hours:
Full-time dedication (8 hours/Day - 40 hours/week)
Important: In case you live in a different city from where the offices will be located, you will need to travel on a quarterly basis to work in person for a short period of time. This role requires in-person work once a quarter for a few days (approximately a week). Exact dates and location to be confirmed.
Device: Laptop to be provided by Andela (either shipped or stipend to purchase, in this case a receipt must be provided)
Offer
Estimated Duration: 12-month-term contractor position (Renewable)
Full-time dedication (40 hours/week)
At Andela, we know our strengths lie in our diverse community whose talents, perspectives, backgrounds, and orientations we take pride in.
Andela is committed to nurturing a work environment where all individuals are treated with respect and dignity. Everyone has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits discriminatory practices. Andela provides equal employment opportunities to all employees and applicants without regard to factors including but not limited to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, pregnancy (including breastfeeding), genetic information, HIV/AIDS or any other medical status, family or parental status, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state and local laws.
This commitment applies to all terms and conditions of employment, including but not limited to hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Our policies expressly prohibit any form of harassment and/or discrimination, as stated above.
Andela is home for all. Come as you are.
▶️ Principal DevOps Engineer (MLOps)
🖊️ Andela
📍 Shivamogga