Position: Machine Learning EngineerLocation: ONSITE in Burlingame CaliforniaContract: 12 months with the likelihood to extendPay: $70-$90 Hourly Dependant on Experience** You must be able to apply without sponsorship**Apex Systems is working with a Health Technology Team seeking a Machine Learning Engineer to work with the digital health technology teamMinimum QualificationsStrong Python codingC and C++ETLPrior experience developing models for low-resource edge devices (Wearables, Mobile phones)Prior experience developing models based on input data from sensors typically used on personal-compute devices (accelerometer, gyro, PPG, pressure, microphone, temperature, etc)Preferred QualificationsIndustry working experience in consumer/digital health technology product development and/or research.background in robotics or the automated driving industryEEO EmployerApex Systems is an equal-opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at employeeservices@apexsystems.com (Do not submit resumes or solicit consultants to this email address). UnitedHealthcare creates and publishes the Transparency in Coverage Machine-Readable Files on behalf of Apex Systems.#J-18808-Ljbffrby Jobble

Apex Systems is seeking a Machine Learning Engineer to support a Fortune 500 Client based out of Burlingame, CA. If interested in discussing details please send your resume over to Ashley Bocklet at [email protected] <ul><li>Title: Machine Learning Engineer<li>Location: Burlingame, CA (Onsite w/ Hybrid Flexibility)<li>Pay: 70-85/HR Dependent on Experience<li>Work Type: W2</ul> Job Description: Machine Learning Engineer<ul><li>Prior experience developing models for low-resource edge devices (Wearables, Mobile phone)<li>Prior experience developing models based on input data from sensors typically used on personal-computer devices (accelerometer, gyro, PPG, pressure, microphone, temperature etc)<li>Python Focus</ul> Nice To Haves<ul><li>Background in Robotics<li>Full Stack Experience<li>C/C++ Experience<li>Previous experience within Large Health Tech Companies</ul> EEO Employer Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at [email protected] or 844-463-6178 . Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing® in Talent Satisfaction in the United States and Great Place to Work® in the United Kingdom and Mexico.

Position: Machine Learning EngineerLocation: ONSITE in Burlingame CaliforniaContract: 12 months with the likelihood to extendPay: $70-$90 Hourly Dependant on Experience** You must be able to apply without sponsorship** Apex Systems is working with a Health Technology Team seeking a Machine Learning Engineer to work with the digital health technology team Minimum Qualifications<ul><li>Strong Python coding</li><li>C and C++</li><li>ETL</li><li>Prior experience developing models for low-resource edge devices (Wearables, Mobile phones)</li><li>Prior experience developing models based on input data from sensors typically used on personal-compute devices (accelerometer, gyro, PPG, pressure, microphone, temperature, etc)</li></ul> Preferred Qualifications<ul><li>Industry working experience in consumer/digital health technology product development and/or research.</li><li>background in robotics or the automated driving industry</li></ul> EEO EmployerApex Systems is an equal-opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at employeeservices@apexsystems.com (Do not submit resumes or solicit consultants to this email address). UnitedHealthcare creates and publishes the Transparency in Coverage Machine-Readable Files on behalf of Apex Systems.

Machine Learning Engineer Apex Systems is a global IT services provider, and our staffing practice has an opening for a Machine Learning Engineer with Python, Scala, Spark experience to place at our client, a global ecommerce company. Client: Global Travel Ecommerce CompanyTerms: 6 month rolling contract.Location: 100% Remote Must have:<ul><li>3-5+ years of Machine Learning Engineer Experience</li><li>Proficient with Python, Scala & Spark</li><li>Understand AWS Cloud</li><li>GitHub Actions or something equivalent</li><li>DataStream or something equivalent</li></ul> Project:<ul><li>Are you fascinated by machine learning and building robust machine learning pipelines which process massive amounts of data at scale and speed to provide crucial insights to the end consumers? This is exactly what we, the Machine Learning Engineering group, do!</li><li>Their mission is to partner with their Machine Learning Science counterparts to use AI/ML to collaboratively transform their data assets into intelligent and real-time insights to support a variety of applications which are used by 1000+ market managers, analysts, our supply partners, and our travelers.</li><li>They work spans across a variety of datasets and ML models and across a diverse technology stack ranging from Spark, SageMaker, Airflow, DataBricks, Kubernetes, AWS and much more!</li></ul> Job Description:<ul><li>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.</li><li>Prototype creative solutions quickly by developing minimum viable products.</li><li>Ability to write robust code in one or more of Python, Scala, and Java</li><li>Proficient in core technologies like Spark, Hadoop, and Hive.</li><li>Experience in building real-time applications, preferably in Spark and streaming platforms like Kafka and Kinesis.</li><li>Good understanding of machine learning pipelines and machine learning frameworks such as TensorFlow and PyTorch.</li><li>Familiar with cloud services like AWS, Azure, and workflow orchestration tools (e.g., Airflow).</li><li>Experienced in using SQL for querying data from relational tables.</li></ul> Key Qualifications:<ul><li>Degree with strong technical focus (Computer Science, Engineering).</li></ul> Soft Skills:<ul><li>Excellent analytical and problem-solving skills with an aptitude for troubleshooting issues.</li><li>Drive for continuous improvement within an agile development team.</li><li>Communicate and work with geographically distributed cross functional teams. </li></ul> Interview Process: Interviews will take place in three rounds during the same week this month. This a great opportunity to join a global ecommerce company and continue your career in the. Be a part of a great work environment with a very well organized team and colleagues who will help you succeed. This is a position that impacts the company enterprise wide with great opportunity for career growth. If you are not a 99% match to the above, and want to be considered for other opportunities at our enterprise clients, register for our Talent Network where you can receive job alerts about new opportunities that match your interests. EEO Employer Apex is an Equal Employment Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at employeeservices@apexsystemsinc.com or 844-463-6178.

Machine Learning Engineer Client: Enterprise retailerLength: 6 month contract- possibility of extensionLocation: 3 days/week in office (Toronto) Overview We are seeking a highly skilled and self-motivated Machine Learning Engineer to join our dynamic data engineering team. Our team is at the forefront of deploying and automating analytics in enterprise data lakes, refining processes, and driving major initiatives to enhance customer experiences. This role involves close collaboration with various business areas, including loyalty data, media, marketing, and internal BI solutions, to develop advanced ML solutions. Key Responsibilities • Design, build, and deploy machine learning models and advanced solutions within a centralized ML Ops framework. • Work with GCP services including BigQuery, Vertex AI, Cloud Functions, Airflow, and Data Spark to manage and process large datasets. • Write complex SQL logic and Python code to facilitate data acquisition, analysis, and dataset creation. • Productionalize ML models, ensuring they are scalable and integrated seamlessly with our existing systems. • Collaborate effectively with stakeholders, including project managers, data scientists, and non-technical partners, to understand their goals and deliver clear, impactful solutions. • Independently lead projects, showcasing strong problem-solving skills and the ability to communicate process and status updates clearly. • Contribute to the building and maintenance of CI/CD pipelines, with a preference for experience with GitLab. Requirements • Proven experience with Google Cloud Platform (GCP) and key services such as BigQuery, Vertex AI, Cloud Functions, Airflow, and Data Spark. • Expertise in Python, SQL, and foundational machine learning algorithms. • Demonstrated ability to productionalize ML models, with a knack for developing advanced solutions. • Strong communication skills, capable of working independently as well as part of a team. Must be able to convey complex ideas to both technical and non-technical stakeholders in a clear and understandable manner. • Experience with CI/CD pipeline development, especially with GitLab, is preferred but not mandatory.

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Machine Learning Engineer Apex Systems Jobs

Machine Learning EngineerApril 28, 2024

Machine Learning EngineerApril 27, 2024

Machine Learning EngineerApril 23, 2024

Machine Learning EngineerApril 19, 2024

Machine Learning EngineerApril 17, 2024

Machine Learning EngineerApril 14, 2024

Machine Learning EngineerApril 11, 2024

Senior Machine Learning EngineerApril 8, 2024