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
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:*
Benefits: SPECTRAFORCE offers ACA compliant health benefits as well as dental, vision, accident, and hospital indemnity insurances
Additional benefits SPECTRAFORCE offers to the eligible employees include commuter benefits, 401K plan with matching and a referral bonus program
SPECTRAFORCE offers unpaid leave as well as paid sick leave when required by law

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
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:*

Benefits

Benefits: SPECTRAFORCE offers ACA compliant health benefits as well as dental, vision, accident, and hospital indemnity insurances
Additional benefits SPECTRAFORCE offers to the eligible employees include commuter benefits, 401K plan with matching and a referral bonus program
SPECTRAFORCE offers unpaid leave as well as paid sick leave when required by law

Title: Machine Learning Engineer III/ II Duration: 11 months Contract Location: Chicago, IL (2-3 days onsite)
Job Role Description...
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.
2-3 values or traits that are important to this role
• **Collaboration:** The ability to work well in a team and communicate effectively with colleagues.
• **Problem-solving:** Strong analytical and creative problem-solving skills.
• **Adaptability:** Willingness to learn and adapt to new technologies and methodologies.
3-4 functional activities the resource should be capable of
• **Software Development:** Proficient in designing, coding, testing, and debugging software applications.
• **System Architecture:** Capable of contributing to the design and architecture of complex software systems.
• **Code Review and Optimization:** 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.
Any industry specific experience that would separate one candidate from another?
• 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.
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. Our entire workflow and teams are trained to cultivate the joy of NEWJOBPHORIA with candidates and employees throughout their engagement with SPECTRAFORCE.
Benefits: SPECTRAFORCE offers ACA compliant health benefits as well as dental, vision, accident, and hospital indemnity insurances. Additional benefits SPECTRAFORCE offers to the eligible employees include commuter benefits, 401K plan with matching and a referral bonus program. SPECTRAFORCE offers unpaid leave as well as paid sick leave when required by law.
Equal Opportunity Employer: SPECTRAFORCE is an equal opportunity employer and does not discriminate against any employee or applicant for employment because of race, religion, color, sex, national origin, age, sexual orientation, gender identity, genetic information, disability or veteran status, or any other category protected by applicable federal, state, or local laws. Please contact Human Resources at if you require reasonable accommodation
The Company is committed to complying with the California Privacy Rights Act ( CPRA ) effective January 1, 2023; and all data privacy laws in the jurisdictions in which it recruits and hires employees. A Notice to California Job Applicants Regarding the Collection of Personal Information can be located on our website. Applicants with disabilities may access this notice in an alternative format by contacting

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