What are the responsibilities and job description for the ML Engineer position at ApTask?
About Client:
Client is a company that helps other businesses use technology to improve and grow. They provide services like creating computer programs, managing computer systems, and making sure everything is secure. Client works with different industries like telecommunications, healthcare, banking, and retail to help them use new and exciting technologies like artificial intelligence, cloud computing, and the Internet of Things. These technologies can make businesses more efficient and innovative.
They have offices and people working all around the world, and their team of experts helps businesses solve their technology challenges. Client also cares about making a positive impact on society and the environment, so they support social causes and work to conserve resources.
Salary Range: $140k-$150k/Annum on fulltime with benefits
Location:
- Dallas TX or New Jersey (Onsite)
Job Description:
Roles and Responsibilities:
- At least 7 years of experience as a Client Engineer, with fluency and experience in Python, Data Science, Data Engineering & MLOPS
- Knowledge in RESTful API design and implementation
- Experience of Web framework like FastAPI/Tornado/Flask etc.
- Data Science knowledge and familiarity with Client libraries such as Pandas, Scikit, TensorFlow, xgboost, time series frameworks like prophet/or equivalent frameworks
- In-depth of big data frameworks like Pyspark & gcp tools like data proc, data proc serverless
- Experience designing, building and operating productions grade Client applications
- Knowledge of design patterns and architecture, data science, and machine learning best practices
- Experience with relational databases like Big Query, cloud environments, and a good understanding of optimizing storage cost/query cost while designing data engineering workflows
- Good knowledge of Kubernetes, container technologies, docker registries, and applying them in the context of machine learning systems
- Working knowledge of Client frameworks, such as Vertex, Kubeflow, MLflow, CloudRun etc.
- Experience in designing post-deployment model management framework e.g. model monitoring tools, workflows for feature drift, error analysis of models
- Proficiency with CI/CD tools, especially Jenkins
- Experience in designing CI/CD pipelines (Jenkins) for deployment of Data Engineering and Client jobs workflow
- Hands-on experience in orchestration frameworks like Airflow, Cloud Composer, DataProc Serverless for Pyspark jobs etc.
- In-depth understanding of Google Cloud ecosystem for Data Engineering & MLOps - cloud composer, dataproc, dataproc serverless, big query, cloudrun, vertex, vertex pipelines, GKE
- Experience in designing MLOps platforms and architect big data systems on GCP cloud
About ApTask:
Join ApTask, a global leader in workforce solutions and talent acquisition services, as we shape the future of work. We offer a comprehensive suite of offerings, including staffing and recruitment services, managed services, IT consulting, and project management, providing unparalleled opportunities for professional growth and development. As a member of our dynamic team, you'll have the chance to connect businesses with top-tier professionals, optimize workforce performance, and drive success for our clients across diverse industries. If you are passionate about excellence, collaboration, and innovation, and aspire to make a meaningful impact in the world of work, come join us at ApTask and be a part of our mission to empower organizations to thrive.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Candidate Data Collection Disclaimer:
At ApTask, we prioritize safeguarding your privacy. As part of our recruitment process, certain Personally Identifiable Information (PII) may be requested by our clients for verification and application purposes. Rest assured, we strictly adhere to confidentiality standards and comply with all relevant data protection laws. Please note that we only collect the necessary information as specified by each client and do not request sensitive details during the initial stages of recruitment.
If you have any concerns or queries about your personal information, please feel free to contact our compliance team at (url removed) .
