- 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
- **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
- 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
- **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
-
Machine Learning Engineer
Found in: Appcast US C2 - 5 days ago
Revival Talent Solutions Chicago, United StatesCompany: Revival Talent, in partnership with a leading innovator in health tech · Location: Chicago, IL (Hybrid) · Salary: Up to $150,000 · Benefits: Health insurance, dental and vision coverage, retirement plans (401k) with employer match, paid time off (PTO), flexible working h ...
-
Machine Learning Engineer
Found in: Lensa US 4 C2 - 5 days ago
Addison Group Chicago, IL, United StatesJob Description · At Hyatt, we're working to Advance Care through data-driven decisions and automation. This mission serves as the foundation for every decision as we create the future of travel. We can't do that without the best talent – talent that is innovative, curious, and ...
-
Machine Learning Engineer
Found in: Jooble US O C2 - 5 days ago
Publicis Media Chicago, IL, United StatesCompany Description · Read this first: If you have what it takes for this job, but don't meet all the criteria within the job description, we encourage you to apply. We'd like to connect with you to see what skills and experience you could bring to our team. · The Publicis Medi ...
-
Machine Learning Engineer
Found in: Lensa US 4 C2 - 6 days ago
Valor Equity Partners Chicago, United StatesJob Title: Machine Learning Engineer · Department : Labs · Work Location: Chicago · Reports To: Head of Labs · Who We Are: · Valor Equity Partners is a different kind of private investment firm. We invest in technology and technology-enabled companies that innovate and disrupt ex ...
-
Machine Learning Engineer
Found in: Jooble US O C2 - 3 days ago
Georgia IT, Inc. Chicago, IL, United StatesRole: Machine Learning Engineer/SRE · Location: Chicago, IL or Remote · Duration: 12 Months · Rate: DOE · US Citizens and Green cards & GC-EAD Only. No Third-party C2C available for this job · Job Description: · We are seeking a highly skilled and motivated Machine Learning ...
-
Machine Learning Engineer
Found in: One Red Cent US C2 - 4 days ago
Cboe Global Markets Chicago, United StatesJob Description · Cboe Global Markets is the world's go-to derivatives and exchange network, providing trading solutions and products in multiple asset classes, including equities, derivatives, FX, and digital assets. Cboe's Regulatory Division directly contributes to the company ...
-
Machine Learning Engineer
Found in: Jooble US O C2 - 3 days ago
Revival Talent Solutions Chicago, IL, United StatesCompany: Revival Talent, in partnership with a leading innovator in health tech · Location: Chicago, IL (Hybrid) · Salary: Up to $150,000 · Benefits: Health insurance, dental and vision coverage, retirement plans (401k) with employer match, paid time off (PTO), flexible work ...
-
Machine Learning Engineer
Found in: Jooble US O C2 - 3 days ago
Bank of Montreal Chicago, IL, United StatesMachine Learning Engineer page is loaded Machine Learning Engineer · Apply locations Chicago, IL, USA time type Full time posted on Posted Yesterday job requisition id R Application Deadline: · Data Analytics & Reporting AML – or anti-money laundering, anti-terrorist financing ...
-
Machine Learning Engineer
Found in: Lensa US 4 C2 - 3 days ago
Bank of Montreal Chicago, United StatesApplication Deadline:06/27/2024 Address:320 S Canal Street. Job Family Group:Data Analytics & Reporting. AML or anti-money laundering, anti-terrorist financing and sanctions compliance is an essential part of protecting BMO. Developing leading ed Machine Learning, Engineer, Custo ...
-
Machine Learning Engineer
Found in: Jooble US O C2 - 3 days ago
Janus Health Chicago, IL, United StatesAt Janus, we believe in a world where healthcare functions efficiently. Join us on our mission to improve the lives of administrative workers and fundamentally change the way work is done. Our team is building a world-class process improvement platform to help healthcare provider ...
-
Machine Learning Engineer
Found in: Lensa US 4 C2 - 6 days ago
Velvetech LLC Chicago, United StatesVelvetech · is an American global software development company headquartered in Chicago, IL. Velvetech has its developers strategically distributed in 10+ global technical job markets to deliver the best in class software engineering and exceptional client services. · We have 20 ...
-
Machine Learning Engineer
Found in: Jooble US O C2 - 3 days ago
Bank of Montreal Chicago, IL, United StatesMachine Learning Engineer page is loaded · Machine Learning Engineer · Apply locations Chicago, IL, USA time type Full time posted on Posted Yesterday job requisition id R Application Deadline: · 06/27/2024 Address: · 320 S Canal Street Job Family Group: · Data Analytics & ...
-
Machine Learning Engineer
Found in: Talent US C2 - 6 days ago
BMO Chicago, United States Full timeApplication Deadline: · 06/27/2024 Address: · 320 S Canal Street Job Family Group: · Data Analytics & Reporting AML – or anti-money laundering, anti-terrorist financing and sanctions compliance – is an essential part of protecting BMO. Developing leading edge data science models ...
-
Machine Learning Performance Engineer
Found in: Appcast Linkedin GBL C2 - 1 day ago
Selby Jennings Chicago, United StatesYour Responsibilities: · Constructing scalable and resilient training and inference pipelines for deep learning. · Delving into the inner workings of open-source deep learning frameworks to enhance their capabilities. · Identifying and resolving performance bottlenecks. · Collabo ...
-
Junior Machine Learning Engineer
Found in: Lensa US 4 C2 - 1 day ago
Patterned Learning AI Chicago, United StatesJob Description · Junior Machine Learning Engineer- Remote Job, 1+ Year Experience · Annual Income: $60K - $65K, Onsite · A valid work permit is necessary in the US/Canada · About us: Patterned Learning is a platform that aims to help developers code faster and more efficient ...
-
Machine Learning Research Engineer
Found in: Jooble US O C2 - 3 days ago
Selby Jennings Chicago, IL, United StatesYour Responsibilities: · Engage in groundbreaking research in deep learning for price forecasting. · Construct scalable and resilient training and inference pipelines for deep learning. · Delve into the inner workings of open-source deep learning frameworks to improve their fu ...
-
Lead Machine Learning Engineer
Found in: Jooble US O C2 - 3 days ago
QBE Insurance Chicago, IL, United StatesPrimary Details · Time Type: Full time Worker Type: Employee The Opportunity QBE is on the lookout for a Lead Machine Learning Engineer with deep expertise in developing and deploying advanced machine learning models and solutions. This role is central to driving QBE's innovat ...
-
Machine Learning Research Engineer
Found in: Appcast Linkedin GBL C2 - 2 days ago
Selby Jennings Chicago, United StatesYour Responsibilities: · Engage in groundbreaking research in deep learning for price forecasting. · Construct scalable and resilient training and inference pipelines for deep learning. · Delve into the inner workings of open-source deep learning frameworks to improve their funct ...
-
Machine Learning Engineer, NLP
Found in: Lensa US 4 C2 - 1 day ago
Attadale Partners Chicago, United StatesAttadale is a Chicago-based consultancy with patents in advanced speech analytics, and we are expanding our ML team, especially within financial services and healthcare. We seek candidates with demonstrated success training and developing LLMs in a production setting - delivering ...
-
Machine Learning Research Engineer
Found in: Lensa US 4 C2 - 5 days ago
Optiver Chicago, United StatesOptiver is a seeking a Machine Learning Research Engineer to join our team, focusing on a pivotal AI initiative. This role would offer the opportunity to have significant impact across Machine Learning infrastructure, training, and inference challenges to advance our futures trad ...
Machine Learning Engineer 3/2 - Chicago, IL, United States - SPECTRAFORCE
Description
Responsibilities
Qualifications
Responsibilities
Benefits
• 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
Company information
Established in 2004, SPECTRAFORCE is one of the largest and fastest-growing staffing firms in the U.S. The growth of our company is a direct result of our global client service delivery model powered by our state-of-the-art A.I. proprietary talent acquisition platform, robust ISO 9001:2015/ISO 27001 certified processes, and strong and passionate client-engaged teams.We have built our business by providing talent and project-based solutions, including Contingent, Permanent, and Statement of Work (SOW) services to over 130 clients in the US, Canada, Puerto Rico, Costa Rica, and India.Key industries that we service include Technology, Financial Services, Life Sciences, Healthcare, Telecom, Retail, Utilities, and Transportation.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 inspired to cultivate the joy of NEWJOBPHORIA with candidates and employees throughout their engagement at SPECTRAFORCE.
Information Technology, Retail, Financial Services, Computer Software, Telecommunications, Information Technology and Services, Healthcare, Human Resources, Staffing and Recruiting, Outsourcing/Offshoring
Privately Held
Founded: 2004
Company Specialties:
Staffing, Projects Outsourcing, Offshore Delivery Centers, Product Development, recruiting, and recruitment