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 Senior Applied Machine Learning Engineer in Miami, FL.

Role Description

Build and integrate end to end lifecycles of large-scale, distributed machine learning systems using the latest public cloud & Open-source technologies. Train, evaluate, and debug machine learning models for complex tasks. Develop tools and services for improving ML systems reliability & accuracy beyond modeling choices — model ops. Collaborate with data engineers to solve complex data problems at scale. Lead technical projects to completion. Collaborate with Data scientists & analysts. Contribute to a team culture that values engineering excellence, continuous improvement and innovation.

Skills & Requirements

• 5 years of AI /ML Software Engineering in highly complex, technologically progressive enterprise environments

• Must possess extensive, proven experience developing end-to-end Generative AI business systems solutions (please provide examples)

• Must possess very strong experience and proficiency with all (or most) of the following programming languages: SQL, Python, R, Perl

• Must possess very strong experience and proficiency with machine learning /deep learning algorithms/packages (e.g. TensorFlow, PyTorch, scikit-learn, Spark ML,, Keras)

• Must possess strong knowledge and experience with AWS cloud technologies and solutions (e.g. Lex, Lambda, S3, EMR, DynamoDB, SageMaker, Transcribe, Comprehend, Polly)

• Must possess excellent verbal / written communication skills and the ability to explain the value of Machine Learning (ML) and Artificial Intelligence (AI) to business leaders

• Must possess PhD in related discipline

• PhD Degree in Computer Science/Machine Learning

• Strong background in machine learning and artificial intelligence with expertise in one or more of: computer vision, NLP, speech, optimization, deep learning, reinforcement learning, time series, generative models, signals, and distributed systems.

• Proficiency in ML modeling frameworks. Strong overall software development approach.

• Significant experience building end to end data systems.

• Strong software engineering skills with proven experience crafting, prototyping, and delivering advanced algorithmic solutions.

• Proficiency in one or multiple machine learning languages (ex: Python) & development environments such as AWS Sagemaker.

Minimum 5 years of experience

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.