Sr. Machine Learning Engineer / Data Scientist AI/ML

  • Alpharetta, GA
  • Posted 5 hours ago | Updated 5 hours ago

Overview

On Site
$70 - $75
Full Time
Accepts corp to corp applications
No Travel Required

Skills

PyTorch
TensorFlow
Keras
Sklearn
Data Analysis
DataMining & Visualization
Spark
Airflow
MLflow
AWS
SQL
MongoDB
Docker
Kubernetes
Git
Jenkins
Kafka
Redis

Job Details

Sr. Machine Learning Engineer / Data Scientist AI/ML

Job Location: Alpharetta, GA (5 days onsite)

Duration: 12+ months contract

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.

Required Skills and Qualifications:

  • Bachelor s or Master s degree in Computer Science, Data Science, Machine Learning, or a related field with 8+ years of experience.
  • Proven experience in data science, machine learning, and AI model development.
  • Strong knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, TensorFlow Extended).
  • Proficiency in programming languages such as Python, R, or Java.
  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud Platform) and containerization technologies (e.g., Docker, Kubernetes).
  • Familiarity with AI/ML governance frameworks and ethical AI practices.
  • Excellent problem-solving skills and the ability to handle complex, ambiguous challenges.
  • Strong communication and collaboration skills, with the ability to work in a global team environment.

Key Responsibilities:.

  • Design, develop, and optimize machine learning models to improve efficiency, scalability, and performance.
  • Implement innovative MLOps practices to streamline model deployment, monitoring, and maintenance.
  • Collaborate with cross-functional teams to integrate AI/ML solutions into business processes.
  • Develop and enforce governance frameworks for AI/ML systems, ensuring compliance with ethical and regulatory standards.
  • Stay updated on the latest advancements in AI/ML technologies and incorporate them into existing workflows.
  • Conduct research and experimentation to identify new approaches for improving model performance and efficiency.
  • Document and communicate technical concepts and solutions to both technical and non-technical stakeholders.
  • Mentor and guide junior team members, fostering a culture of continuous learning and innovation.

Thanks and regards,

Asha Krishna

Associate Director - Talent Partner - US & Canada

Email:

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