Data Scientist – MLOps and Model Development

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist – MLOps and Model Development, offering a hybrid work location, competitive pay, and requiring expertise in Python, AWS SageMaker, and deep learning. Certifications in AWS and relevant data science fields are essential.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
April 11, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Hybrid
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Pittsburgh, PA
🧠 - Skills detailed
#Project Management #Lambda (AWS Lambda) #PyTorch #TensorFlow #Spark (Apache Spark) #Data Engineering #Cloud #AWS (Amazon Web Services) #NLP (Natural Language Processing) #Data Cleaning #BERT #Python #Business Analysis #Data Science #Deep Learning #Datasets #Data Analysis #SageMaker #AWS SageMaker #ML (Machine Learning) #DevOps #NLU (Natural Language Understanding) #StepFunctions #AI (Artificial Intelligence) #Computer Science #PySpark #Deployment #Automation #Monitoring #Consul
Role description

Description:

Our client has an immediate need for a Data Scientist – MLOps and Model Development, who is responsible for producing innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets

Requirements:

   • Bachelor’s in computer science, engineering, or a related field is a plus

   • AWS Certified Machine Learning – Specialty

   • AWS Certified DevOps Engineer – Professional

   • Other Cloud Solution Provider (CSP) certifications are a plus

   • Additional Data Science and LLM-focused certification will be a plus

   • Python and PySpark proficient

   • Statistical analysis with data cleaning and augmentation experience

   • Strong footing on ML algorithms and their suitability for varied use cases

   • Deep learning and NLP experience (TensorFlow/PyTorch, BERT/GPT-3, etc.)

   • Experience with AWS SageMaker and additional AWS services (Lambda, StepFunctions, etc.)

   • Experience with Fine-tuning LLMs, SageMaker pipelines, Infrastructure-as-a-code (IaaC), CI/CD, Model Monitoring, and Explainable AI (XAI) is a plus

Responsibilities:

   • Collaborate with other data scientists, data engineers, and DevOps engineers to help build and deploy models using SageMaker in a hybrid environment

   • Coordinate the build and automations for the entire MLOps pipeline, including data and features, model (re)developments, deployment,t and ongoing monitoring of inference endpoints and model performance

   • Implement automated monitoring and alerting systems to detect and remediate potential issues proactively

   • Look for opportunities to optimize timelines, resource utilization, and resiliency of end-to-end MLOps process

   • Collaborate for the development and integration of customized LLMs to enhance data analysis, natural language understanding, and generation tasks for agentic systems

   • Stay updated on the latest developments, explore and experiment to push boundaries, and contribute to team and intellectual property development

Why Work for ConsultUSA:

   • ConsultUSA offers competitive salaries, major medical (PPO or HDHP w/ HSA), dental, and vision insurance plans, and 401k plan with immediate eligibility for both salary and hourly employees

   • ConsultUSA hosts several outings and events, holiday and summer parties, and volunteer opportunities throughout the year for employees

   • We will work with you to obtain training for in-demand technologies and prepare you for industry-recognized certification exams

   • ConsultUSA offers Business Analysis and Project Management training through our Project Management Institute (PMI)® award-winning sister company, PMCentersUSA

How to Apply:

To submit your application, please click the “Apply Now” button located at the top and bottom of the page.

ConsultUSA is committed to providing equal employment opportunities (EEO) to all qualified employees and applicants for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, genetic information, marital status, pregnancy, ancestry, or status as a covered veteran as well as any other prohibited criteria under any applicable federal, state, and local laws applicable to ConsultUSA.

For a complete listing of all ConsultUSA jobs please visit www.consultusa.com