Job Description

Job Title: GEN AI and Machine Learning Engineer
Reports To: The GEN AI and Machine Learning Engineer will report to the Client Services Supervisor, Client Services Manager, or equivalent leadership.

SPS is looking for an experienced GEN AI and Machine Learning Engineer
Collaborate with software engineers, business stake holders and/or domain experts to translate business requirements into product features, tools, projects, AI/ML, NLP/NLU and deep learning solutions.

Responsibilities 

• Develop, implement, and deploy AI/ML solutions. 


• Preprocess and analyze large datasets to identify patterns, trends, and insights. 


• Evaluate, validate, and optimize AI/ML models to ensure their accuracy, efficiency, and generalizability.


• Deploy applications and AI/ML model into cloud environment such as AWS/Azure/GCP etc.


• Monitor and maintain the performance of AI/ML models in production environments, identifying opportunities for improvement and updating models as needed.


• Document AI/ML model development processes, results, and lessons learned to facilitate knowledge sharing and continuous improvement.

Requirements:

• Bachelor's or master’s degree in Computer Science, Data Science, Engineering, or a related field. 


• Experience on Agentic AI/ Frameworks


• Strong programming skills in languages such as Python, SQL/NoSQL etc.


• Build analytical approach based on business requirements, then develop, train, and deploy machine learning models and AI algorithms


• Exposure to GEN AI models such as OpenAI, Google Gemini, Runway ML etc.


• Experience in developing and deploying AI/ML and deep learning solutions with libraries and frameworks, such as TensorFlow, PyTorch, Scikit-learn, OpenCV and/or Keras.


• Knowledge of math, probability, and statistics.


• Familiarity with a variety of Machine Learning, NLP, and deep learning algorithms.


• Exposure in developing API using Flask/Django.


• Good experience in cloud infrastructure such as AWS, Azure or GCP


• Exposure to Gen AI, Vector DB/Embeddings, LLM (Large language Model)


• Experience with MLOps: MLFlow, Kubeflow, CI/CD Pipeline etc. Good to have experience in Docker, Kubernetes etc Exposure in HTML, CSS, Javascript/JQuery, Node.js, Angular/React Experience in Flask/Django is a bonus

Pay Range

$75 - $95 USD

WHAT WE OFFER

• Career Growth: An opportunity to enter a job that allows you to learn new skills or use a variety of them that may lead you to uncover other career opportunities!


• Learning & Development: At SPS, we promote a work culture of learning so that you can develop to be the best at what you do!


• We Recognize Talent: We offer a variety of recognition programs for all levels of employees!


• Benefit Offerings:  Medical, Dental, Vision, HCFSA, DCFSA, HSA, Commuter Transit and Parking, Supplemental Life Insurance, Accident Insurance, Critical Illness, Hospital Indemnity, Legal Program, Identify Theft Protection, Pet Discounts, Pet Insurance, Group Home and Auto Insurance, EAP, Short Term Disability, Life Insurance, Education Discounts, 401k w/ matching, Entertainment Discounts, & Paid Time Off.
  
  
  
  • Note: Please inquire with the Human Resources team for benefit offerings per role as regular positions that routinely are under 30 hours/week may have a different benefit offering.
  
  

About SPS

SPS is an award-winning employer of choice offering outsourcing solutions that leverage Intelligent Automation (Artificial Intelligence & Robotic Process Automation) in more than 22 countries across the globe.

In North America, our services include Mailroom Management (both physical and digital), Office Services such as Reception, Lobby Concierge and Conference Room Management in addition to Document Processing Services utilizing leading edge technologies. Our clients today are companies in sectors such as banking, insurance, legal, higher education, advertising and other professional services, including many Fortune 500 companies.

SPS is committed to delivering high caliber outsourcing experience to our clients and offering our employees challenging and exciting career opportunities throughout the North America region and globally. SPS is committed to investing in the professional development of our employees and offers competitive comprehensive benefits and diverse development training programs that lead to building careers.

At SPS we embrace the uniqueness of our employees and are committed to the fair and equal treatment of all people, applicants, and employees by promoting a culture of access, inclusion, equity and diversity.

SPS provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual and reproductive health choices, national origin, age, disability, genetics, military status, gender identity or expression, sexual orientation and/or any other status protected by law.

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