

USEReady
Senior Data Scientist
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist/Machine Learning Engineer in Alpharetta, GA, for a 12+ month contract. Requires 8+ years of experience, proficiency in Python/R/Java, MLOps tools, and cloud platforms. Strong AI/ML governance knowledge is essential.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
December 3, 2025
π - Duration
More than 6 months
-
ποΈ - Location
On-site
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π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Alpharetta, GA
-
π§ - Skills detailed
#Docker #Programming #Azure #GCP (Google Cloud Platform) #Java #Deployment #R #Computer Science #Data Science #Python #Kubernetes #ML (Machine Learning) #MLflow #Model Optimization #Scala #TensorFlow #AWS (Amazon Web Services) #Model Deployment #Compliance #ML Ops (Machine Learning Operations) #AI (Artificial Intelligence) #Monitoring #Cloud
Role description
Kindly send me a copy of your updated resume to ashak@useready.com
Job Location: Alpharetta, GA (5 days onsite)
Job Title: Job Title: Sr. Machine Learning Engineer / Data Scientist β AI/ML
Duration: 12+ months contract
Target Start Date: ASAP
Job Description:
We are seeking a highly skilled and motivated Machine Learning Engineer/Data Scientist with expertise in data science, machine learning, and AI/ML model optimization. The ideal candidate will have a strong foundation in improving model efficiencies, a passion for innovation in MLOps (Machine Learning Operations), and a deep understanding of AI/ML governance frameworks.
This role requires someone who is not only technically proficient but also eager to learn new skills, embrace challenges, and thrive in a fast-paced, collaborative environment. You will be part of a global team, working on projects that push the boundaries of AI/ML capabilities while ensuring robust governance and ethical practices.
Key Responsibilities:.
β’ Design, develop, and optimize machine learning models to improve efficiency, scalability, and performance.
β’ Implement innovative MLOps practices to streamline model deployment, monitoring, and maintenance.
β’ Collaborate with cross-functional teams to integrate AI/ML solutions into business processes.
β’ Develop and enforce governance frameworks for AI/ML systems, ensuring compliance with ethical and regulatory standards.
β’ Stay updated on the latest advancements in AI/ML technologies and incorporate them into existing workflows.
β’ Conduct research and experimentation to identify new approaches for improving model performance and efficiency.
β’ Document and communicate technical concepts and solutions to both technical and non-technical stakeholders.
β’ Mentor and guide junior team members, fostering a culture of continuous learning and innovation.
Required Skills and Qualifications:
β’ Bachelorβs or Masterβs degree in Computer Science, Data Science, Machine Learning, or a related field with 8+ years of experience.
β’ Proven experience in data science, machine learning, and AI model development.
β’ Strong knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, TensorFlow Extended).
β’ Proficiency in programming languages such as Python, R, or Java.
β’ Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
β’ Familiarity with AI/ML governance frameworks and ethical AI practices.
β’ Excellent problem-solving skills and the ability to handle complex, ambiguous challenges.
β’ Strong communication and collaboration skills, with the ability to work in a global team environment.
Thanks and regards,
Asha Krishna
Associate Director - Talent Partner - US & Canada
https://www.useready.com/
Email: ashak@useready.com
Kindly send me a copy of your updated resume to ashak@useready.com
Job Location: Alpharetta, GA (5 days onsite)
Job Title: Job Title: Sr. Machine Learning Engineer / Data Scientist β AI/ML
Duration: 12+ months contract
Target Start Date: ASAP
Job Description:
We are seeking a highly skilled and motivated Machine Learning Engineer/Data Scientist with expertise in data science, machine learning, and AI/ML model optimization. The ideal candidate will have a strong foundation in improving model efficiencies, a passion for innovation in MLOps (Machine Learning Operations), and a deep understanding of AI/ML governance frameworks.
This role requires someone who is not only technically proficient but also eager to learn new skills, embrace challenges, and thrive in a fast-paced, collaborative environment. You will be part of a global team, working on projects that push the boundaries of AI/ML capabilities while ensuring robust governance and ethical practices.
Key Responsibilities:.
β’ Design, develop, and optimize machine learning models to improve efficiency, scalability, and performance.
β’ Implement innovative MLOps practices to streamline model deployment, monitoring, and maintenance.
β’ Collaborate with cross-functional teams to integrate AI/ML solutions into business processes.
β’ Develop and enforce governance frameworks for AI/ML systems, ensuring compliance with ethical and regulatory standards.
β’ Stay updated on the latest advancements in AI/ML technologies and incorporate them into existing workflows.
β’ Conduct research and experimentation to identify new approaches for improving model performance and efficiency.
β’ Document and communicate technical concepts and solutions to both technical and non-technical stakeholders.
β’ Mentor and guide junior team members, fostering a culture of continuous learning and innovation.
Required Skills and Qualifications:
β’ Bachelorβs or Masterβs degree in Computer Science, Data Science, Machine Learning, or a related field with 8+ years of experience.
β’ Proven experience in data science, machine learning, and AI model development.
β’ Strong knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, TensorFlow Extended).
β’ Proficiency in programming languages such as Python, R, or Java.
β’ Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
β’ Familiarity with AI/ML governance frameworks and ethical AI practices.
β’ Excellent problem-solving skills and the ability to handle complex, ambiguous challenges.
β’ Strong communication and collaboration skills, with the ability to work in a global team environment.
Thanks and regards,
Asha Krishna
Associate Director - Talent Partner - US & Canada
https://www.useready.com/
Email: ashak@useready.com






