ML Engineer at HAYS in Albany, New York

Job Description:

The final salary or hourly wage, as applicable, paid to each candidate/applicant for this position is ultimately dependent on a variety of factors, including, but not limited to, the candidate's/applicant's qualifications, skills, and level of experience as well as the geographical location of the position.


Applicants must be legally authorized to work in the United States. Sponsorship not available.


Our client is seeking a ML Engineer in New York, NY.


Role Description


• Optimize trained models for inference.
• Collaborate with the internal AI research team to integrate inference optimization into the training process.
• Provide expertise to help customers deploy customized inference services on our cloud.
• Design and develop tools and systems that enable ML cycles, with an emphasis on inference.
• Deploy code/solutions to different environments, including batch and streaming/microservices architectures.
• Serve as domain experts in ML inference, working closely with both internal teams and external customers.
• Collaborate with MLOps team members to design and implement scalable, efficient ML systems.
• Continuously improve deployment processes and infrastructure to enhance model performance and reliability.
• Opportunity to work with cutting-edge technology and make a significant impact on ML inference capabilities.
• Collaborative and inclusive work environment.
• Competitive compensation and benefits package.
• Access to state-of-the-art research facilities and resources.
• Encouragement and support for continuous learning and professional development.


Skills & Requirements


• Strong Python skills and experience in model deployment.
• Experience with ML systems, particularly in deploying and optimizing modern LLMs.
• Familiarity with transformer architectures and fine-tuning models for inference.
• Ability to build and deploy ML models in cloud environments and standalone systems.
• Experience with batch processing and streaming/microservices architectures.
• Proficiency in testing, debugging, and maintaining systems.
• Ability to collaborate effectively with cross-functional teams and provide technical guidance.
• Excellent problem-solving skills and a proactive attitude towards challenges.
• Experience with deep learning frameworks and runtimes.
• Experience with inference servers/model serving frameworks.
• Experience deploying ML workloads on distributed systems.
• Understanding of the nuances in training and deployment of distributed ML models.


Benefits/Other Compensation


This position is a contract/temporary role where Hays offers you the opportunity to enroll in full medical benefits, dental benefits, vision benefits, 401K and Life Insurance ($20,000 benefit).


Why Hays?


You will be working with a professional recruiter who has intimate knowledge of the industry and market trends. Your Hays recruiter will lead you through a thorough screening process in order to understand your skills, experience, needs, and drivers. You will also get support on resume writing, interview tips, and career planning, so when there's a position you really want, you're fully prepared to get it.


Nervous about an upcoming interview? Unsure how to write a new resume?


Visit the Hays Career Advice section to learn top tips to help you stand out from the crowd when job hunting.


Hays is committed to building a thriving culture of diversity that embraces people with different backgrounds, perspectives, and experiences. We believe that the more inclusive we are, the better we serve our candidates, clients, and employees. We are an equal employment opportunity employer, and we comply with all applicable laws prohibiting discrimination based on race, color, creed, sex (including pregnancy, sexual orientation, or gender identity), age, national origin or ancestry, physical or mental disability, veteran status, marital status, genetic information, HIV-positive status, as well as any other characteristic protected by federal, state, or local law. One of Hays' guiding principles is 'do the right thing'.
We also believe that actions speak louder than words.
In that regard, we train our staff on ensuring inclusivity throughout the entire recruitment process and counsel our clients on these principles. If you have any questions about Hays or any of our processes, please contact us.


In accordance with applicable federal, state, and local law protecting qualified individuals with known disabilities, Hays will attempt to reasonably accommodate those individuals unless doing so would create an undue hardship on the company. Any qualified applicant or consultant with a disability who requires an accommodation in order to perform the essential functions of the job should call or text 813.336.5570.


Drug testing may be required; please contact a recruiter for more information.


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#1163750 - Bianca Alderete