Title:
Machine Learning Engineer III/II
Duration: 11 months Contract
Location: Chicago, IL (2-3 days onsite)
Must have skills:
- Experience required - over 5 years
- 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
- The ability to work well in a team and communicate effectively with colleagues
- Strong analytical and creative problem-solving skills
- Willingness to learn and adapt to new technologies and methodologies
- Proficient in designing, coding, testing, and debugging software applications
- Any industry specific experience that would separate one candidate from another?
- We manage service and deployments dodging and building high performance components with strong foundation in software engineering is recommended
Responsibilities:
- Software Development: Skilled in reviewing code, providing constructive feedback, and optimizing for performance
- Collaborative Problem Solving: Ability to work with cross-functional teams to address technical challenges
Qualifications:
- Experience required - over 5 years
- 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
- 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
- Strong analytical and creative problem-solving skills
- Willingness to learn and adapt to new technologies and methodologies
- Proficient in designing, coding, testing, and debugging software applications
- Any industry specific experience that would separate one candidate from another?
- We manage service and deployments dodging and building high performance components with strong foundation in software engineering is recommended
Benefits:
- Benefits: SPECTRAFORCE offers ACA compliant health benefits as well as dental, vision, accident, and hospital indemnity insurances
- Additional benefits include commuter benefits, 401K plan with matching, and a referral bonus program
- Offers unpaid leave as well as paid sick leave when required by law
About Us:
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
SPECTRAFORCE is built on a concept of human connection, defined by our branding attitude of NEWJOBPHORIA, which is the excitement of bringing joy and freedom to the work lifestyle so our people (and clients) can reach their highest potential.
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