Kyyba
Job Title:
(
Machine Learning Engineering Engineer 3
)
About Kyyba: Founded in 1998 and headquartered in Farmington Hills, MI, Kyyba has a global presence delivering high-quality resources and top-notch recruiting services, enabling businesses to effectively respond to organizational changes and technological advances. At Kyyba, the overall well-being of our employees and their families is important to us. We are proud of our work culture which embodies our core values; incorporating value, passion, excellence, empowerment, and happiness, creates a vibrant and productive atmosphere. We empower our employees with the resources, incentives, and flexibility that they need to support a healthy, balanced, and fulfilling career by providing many valuable benefits and a balanced compensation structure combined with career development.
Job Description
Employees in this role are responsible for designing, developing, and deploying cutting-edge Generative AI solutions, with a particular emphasis on Retrieval-Augmented Generation (RAG) systems. This involves leveraging various AI techniques, including vector databases and robust API development frameworks like FastAPI, and ensuring efficient deployment through containerization and MLOps practices, to build intelligent applications that enhance user experience and automate complex processes.
Skills Required: GCP, Big Data, Artificial Intelligence & Expert Systems, API * GCP - Mid Level * Big Data - Entry level * Artificial Intelligence & Expert Systems - Entry Level * API : Mid level
Skills Preferred: Google Cloud Platform
Experience Required: Experience Required: * 3+ years of experience in software engineering with a focus on Generative AI, Machine Learning, or related AI fields. Experience Preferred: * Experience deploying AI/ML models into production environments at scale. * Previous experience in a large enterprise or fast-paced technology environment.
Education Required: Bachelor's Degree
Education Preferred: Certification Program
Additional Information: Design, develop, and implement Generative AI models and applications, specifically focusing on building and optimizing RAG systems, including the integration and management of vector databases, using various technology stacks, with a preference for the OpenAI SDK. 2) Apply fundamental Machine Learning concepts, including model fine-tuning, to improve the performance and accuracy of AI solutions, and deploy them via efficient APIs, such as those built with FastAPI, utilizing containerization for consistent environments. 3) Perform data engineering tasks to prepare, process, and manage data pipelines essential for training, evaluating, and deploying Generative AI models, including data ingestion for vector databases, ensuring data quality and accessibility. 4) Utilize advanced prompt engineering techniques to optimize interactions with large language models and achieve desired outputs, and expose these capabilities through well-designed APIs. 5) Collaborate with cross-functional teams to integrate AI solutions into existing products and services, ensuring scalability, reliability, and maintainability on cloud platforms, particularly Google Cloud Platform (GCP), adhering to MLOps principles and continuous integration/continuous deployment (CI/CD) practices.
Location
: (
Dearborn
,
MI
) Hybrid
Disclaimer: Kyyba is an Equal Opportunity Employer. Kyyba does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. Minorities / Females / Protected Veterans / Individuals with Disabilities are encouraged to apply. All employment is decided on the basis of qualifications, merit, and business need." It is the policy of Kyyba to provide reasonable accommodation when requested by a qualified applicant or employee with a disability, unless such accommodation would cause an undue hardship. The policy regarding requests for reasonable accommodation applies to all aspects of employment, including the application process. If reasonable accommodation is needed, please contact Kyyba at 248-813-9665
Rewards: Medical, dental, vision 401k Term life Voluntary life and disability insurance Optional Pre-paid legal plan Optional Identity theft plan Optional Medical and dependent FSA Work-visa sponsorship Opportunity for advancement Long-term assignment with opportunity for hire by client
SELECT AWARDS
An INC 5000 company for 10 years Corp! Michigan Economic Bright Spots Crain's Detroit Business Top Staffing Service Companies in Detroit TechServe Alliance Excellence Award- IT and Engineering Staffing & Solutions Best of MichBusiness winner in HR Wizards & Partnerships Metro Detroit Elite Category: Recruitment, Selection & Orientation for 101 Best & Brightest 101 Best & Brightest Companies to Work for in Michigan
(
Machine Learning Engineering Engineer 3
)
About Kyyba: Founded in 1998 and headquartered in Farmington Hills, MI, Kyyba has a global presence delivering high-quality resources and top-notch recruiting services, enabling businesses to effectively respond to organizational changes and technological advances. At Kyyba, the overall well-being of our employees and their families is important to us. We are proud of our work culture which embodies our core values; incorporating value, passion, excellence, empowerment, and happiness, creates a vibrant and productive atmosphere. We empower our employees with the resources, incentives, and flexibility that they need to support a healthy, balanced, and fulfilling career by providing many valuable benefits and a balanced compensation structure combined with career development.
Job Description
Employees in this role are responsible for designing, developing, and deploying cutting-edge Generative AI solutions, with a particular emphasis on Retrieval-Augmented Generation (RAG) systems. This involves leveraging various AI techniques, including vector databases and robust API development frameworks like FastAPI, and ensuring efficient deployment through containerization and MLOps practices, to build intelligent applications that enhance user experience and automate complex processes.
Skills Required: GCP, Big Data, Artificial Intelligence & Expert Systems, API * GCP - Mid Level * Big Data - Entry level * Artificial Intelligence & Expert Systems - Entry Level * API : Mid level
Skills Preferred: Google Cloud Platform
Experience Required: Experience Required: * 3+ years of experience in software engineering with a focus on Generative AI, Machine Learning, or related AI fields. Experience Preferred: * Experience deploying AI/ML models into production environments at scale. * Previous experience in a large enterprise or fast-paced technology environment.
Education Required: Bachelor's Degree
Education Preferred: Certification Program
Additional Information: Design, develop, and implement Generative AI models and applications, specifically focusing on building and optimizing RAG systems, including the integration and management of vector databases, using various technology stacks, with a preference for the OpenAI SDK. 2) Apply fundamental Machine Learning concepts, including model fine-tuning, to improve the performance and accuracy of AI solutions, and deploy them via efficient APIs, such as those built with FastAPI, utilizing containerization for consistent environments. 3) Perform data engineering tasks to prepare, process, and manage data pipelines essential for training, evaluating, and deploying Generative AI models, including data ingestion for vector databases, ensuring data quality and accessibility. 4) Utilize advanced prompt engineering techniques to optimize interactions with large language models and achieve desired outputs, and expose these capabilities through well-designed APIs. 5) Collaborate with cross-functional teams to integrate AI solutions into existing products and services, ensuring scalability, reliability, and maintainability on cloud platforms, particularly Google Cloud Platform (GCP), adhering to MLOps principles and continuous integration/continuous deployment (CI/CD) practices.
Location
: (
Dearborn
,
MI
) Hybrid
Disclaimer: Kyyba is an Equal Opportunity Employer. Kyyba does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. Minorities / Females / Protected Veterans / Individuals with Disabilities are encouraged to apply. All employment is decided on the basis of qualifications, merit, and business need." It is the policy of Kyyba to provide reasonable accommodation when requested by a qualified applicant or employee with a disability, unless such accommodation would cause an undue hardship. The policy regarding requests for reasonable accommodation applies to all aspects of employment, including the application process. If reasonable accommodation is needed, please contact Kyyba at 248-813-9665
Rewards: Medical, dental, vision 401k Term life Voluntary life and disability insurance Optional Pre-paid legal plan Optional Identity theft plan Optional Medical and dependent FSA Work-visa sponsorship Opportunity for advancement Long-term assignment with opportunity for hire by client
SELECT AWARDS
An INC 5000 company for 10 years Corp! Michigan Economic Bright Spots Crain's Detroit Business Top Staffing Service Companies in Detroit TechServe Alliance Excellence Award- IT and Engineering Staffing & Solutions Best of MichBusiness winner in HR Wizards & Partnerships Metro Detroit Elite Category: Recruitment, Selection & Orientation for 101 Best & Brightest 101 Best & Brightest Companies to Work for in Michigan