- Proficient in core technologies like Spark, Hadoop and Hive
- Experience in building real-time applications, preferably in Spark and streaming platforms like Kafka and Kinesis
- Good understanding of machine learning pipelines and machine learning frameworks such as TensorFlow and PyTorch
- Familiar with cloud services like AWS, Azure, and workflow orchestration tools (e.g., Airflow)
- Degree with a strong technical focus (Computer Science, Engineering)
- Our team manages the platform for AI ML teams at client site
- The Feature lifecycle team specifically works on managing feature stores for the models
- Support regular feature refresh pipelines and data for batch inference and training use cases
- Work collaboratively with data scientists, machine learning engineers, program and product managers in the development of assigned components
- Actively participate in group technology reviews to critique work of self and others
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- Experience in building real-time applications, preferably in Spark and streaming platforms like Kafka and Kinesis
- Good understanding of machine learning pipelines and machine learning frameworks such as TensorFlow and PyTorch
- Familiar with cloud services like AWS, Azure, and workflow orchestration tools (e.g., Airflow)
- Degree with a strong technical focus (Computer Science, Engineering)
- Our team manages the platform for AI ML teams at client site
- The Feature lifecycle team specifically works on managing feature stores for the models
- We provide low latency services for model inferencing use cases
- Support regular feature refresh pipelines and data for batch inference and training use cases
- Work collaboratively with data scientists, machine learning engineers, program and product managers in the development of assigned components
- Actively participate in group technology reviews to critique work of self and others
- Pay rate: $ ON W2 (NO C2C applicants)
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Machine Learning Engineer - Chicago, IL, United States - ASK Consulting
Description
Responsibilities
Qualifications
Responsibilities
Benefits
• Experience in Java, python and handling highly scalable systems would be beneficial, having a database with knowledge of SQL,NO SQL and spark is a plus.
• We manage service and deployments dodging and building high performance components with strong foundation in software engineering is recommended.
• Our team manages the platform for AI ML teams at client site.
• The Feature lifecycle team specifically works on managing feature stores for the models.
• We provide low latency services for model inferencing use cases.
• Support regular feature refresh pipelines and data for batch inference and training use cases.
• Ability to write robust code in one or more of Python, Go, and Java
• Proficient in core technologies like Spark, Hadoop and Hive.
• Experience in building real-time applications, preferably in Spark and streaming platforms like Kafka and Kinesis.
• Good understanding of machine learning pipelines and machine learning frameworks such as TensorFlow and PyTorch.
• (good to have)
• Familiar with cloud services like AWS, Azure, and workflow orchestration tools (e.g., Airflow).
• Degree with a strong technical focus (Computer Science, Engineering).
• Design, develop, debug, and modify components of machine learning and deep learning systems and applications, including data/ETL and feature engineering pipelines.
• Work collaboratively with data scientists, machine learning engineers, program and product managers in the development of assigned components.
• Actively participate in group technology reviews to critique work of self and others. About ASK: ASK Consulting is an award-winning technology and professional services recruiting firm servicing Fortune 500 organizations nationally. With 5 nationwide offices, two global delivery centers, and employees in 42 states-ASK Consulting connects people with amazing opportunities ASK Consulting is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all associates
Company information
Information Technology, Finance, Marketing, Management Consulting, Human Resources
Privately Held
Company Specialties:
Staffing and Recruiting, Workforce Consulting, Talent Acquisition, and Talent Sourcing