Experience:-5-10 years
Qualification - Must have completed engineering
100% REMOTE JOB POSITION
Salary range: $3,500 to $6,000 USD net per month as a contractor to work with our client, a US-based company. Salary is negotiable and will be commensurate with experience.
The Role:
We are seeking a highly motivated and experienced Data Engineer with deep expertise in MLOps discipline to join our Data Engineering team. In this role, you will be at the forefront of designing and developing scalable, robust data architectures and MLOps solutions utilizing the latest technologies from Google Cloud Platform (GCP) and AWS. As a key contributor, you will collaborate closely with cross-functional teams to understand and address their data and ML platform requirements.
Minimum Requirements:
- At least 5 years of proven experience as a Data Engineer or MLOps Engineer in developing platform level capabilities for a data-driven midsize to large corporations.
- Strong programming skills in languages such as Python, Java or Scala, with experience building large-scale, fault-tolerant systems.
- Experience with cloud platforms (GCP, AWS, AZURE) with strong preference to GCP.
- Experience with BigQuery or similar (Redshift, Snowflake, other MPP databases)
- Hands-on experience with ML frameworks (TensorFlow, PyTorch) and ML deployment patterns.
- Practical experience with containerization and orchestration tools (Docker, Kubernetes)
- Experience building data pipelines & ETL
- Experience with command line, version control software (git)
- Excellent communication and collaboration skills.
- Ability to work independently and quickly become productive after joining.
Preferred Requirements:
- Knowledge of distributed data processing frameworks such as Apache Kafka, Flink, Spark, or similar.
- Experience with DBT (Data Build Tool) and Looker.
- Knowledge of common ML deployment patterns.
Responsibilities:
- Design, develop, and maintain scalable, high-performance data infrastructure to support the collection, storage, and processing of large datasets in real time and batch modes.
- Build reliable, reusable services and APIs that allow teams to interact with the data platform for ingestion, transformation, and querying of data.
- Build software tools, products and systems to monitor and manage the ML infrastructure and services efficiently.
- Responsible for ensuring our ML systems are operating and running efficiently for model development, training, evaluation, and inference.
- Collaborate with senior management, product management, and other engineers in the development of data products.
- Develop tools to monitor, debug, and analyze data an ML pipelines.
- Design and implement data schemas and models that can scale.
- Mentor team members to build the company's overall expertise.
- Work to make our business an innovator in the space by bringing passion and new ideas to work every day.
Additional Information:
- IMPORTANT: Salary range is in US Dollars + important benefits. If you want to apply, please send your CV in English. Candidates who apply without a CV will not be considered.
- Experience Level: Middle to Senior candidates with 5 to 10+ years of professional experience will be considered.
- Compensation: Salary will be based on experience.
Help us redefine your future: Apply today!
NIR-YU is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws
