Aegistech
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This range is provided by Aegistech. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $150,000.00/yr - $170,000.00/yr
Direct message the job poster from Aegistech
Our machine learning team specializes in working with large datasets to create cutting-edge AI capabilities that drive enterprise-wide automation opportunities. We value collaboration both within our team and across the broader Gen AI organization, fostering innovation from a blank slate approach. The team brings together Data Engineers, Data Scientists, Platform Engineers, and Solution Architects to create innovative solutions at enterprise scale using historically rich data.
Responsibilities and Impact
Play a part in the design and development of scalable machine learning models and algorithms to process large datasets and extract actionable insights
Engineer end-to-end ML pipelines from data ingestion through model deployment and monitoring in production environments
Collaborate with cross-functional teams, including Data Engineers, Data Scientists, Platform Engineers, and Solution Architects, to deliver enterprise-scale AI solutions.
Research and implement cutting-edge machine learning techniques and frameworks to solve complex business problems
Automate solutions that can be deployed across the enterprise, identifying opportunities for process improvement and efficiency gains
Work in a collaborative environment to execute an innovative capabilities in an enterprise setting
What We're Looking For Basic Required Qualifications
Master's degree in Computer Science, Machine Learning, Data Science, or related technical field, or equivalent professional experience
5+ years of hands-on experience in machine learning engineering, model development, and deployment with demonstrated leadership experience
Proficiency in machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, or similar technologies
Strong programming skills in languages such as Python, R, or Scala, with experience in software development best practices
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform for ML model deployment and scaling
Proven leadership and mentoring abilities with strong analytical and problem-solving skills
Additional Preferred Qualifications
Experience with MLOps tools and practices such as MLflow, Kubeflow, or similar platforms for model lifecycle management
Knowledge of big data technologies such as Spark, Hadoop, or distributed computing frameworks
Experience with containerization and orchestration technologies such as Docker, Kubernetes, or similar platforms
Previous experience leading cross-functional teams and driving technical strategy in collaborative environments
Seniority level Mid-Senior level
Employment type Full-time
Job function Information Technology
Get notified about new Machine Learning Engineer jobs in
New York, United States .
#J-18808-Ljbffr
This range is provided by Aegistech. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $150,000.00/yr - $170,000.00/yr
Direct message the job poster from Aegistech
Our machine learning team specializes in working with large datasets to create cutting-edge AI capabilities that drive enterprise-wide automation opportunities. We value collaboration both within our team and across the broader Gen AI organization, fostering innovation from a blank slate approach. The team brings together Data Engineers, Data Scientists, Platform Engineers, and Solution Architects to create innovative solutions at enterprise scale using historically rich data.
Responsibilities and Impact
Play a part in the design and development of scalable machine learning models and algorithms to process large datasets and extract actionable insights
Engineer end-to-end ML pipelines from data ingestion through model deployment and monitoring in production environments
Collaborate with cross-functional teams, including Data Engineers, Data Scientists, Platform Engineers, and Solution Architects, to deliver enterprise-scale AI solutions.
Research and implement cutting-edge machine learning techniques and frameworks to solve complex business problems
Automate solutions that can be deployed across the enterprise, identifying opportunities for process improvement and efficiency gains
Work in a collaborative environment to execute an innovative capabilities in an enterprise setting
What We're Looking For Basic Required Qualifications
Master's degree in Computer Science, Machine Learning, Data Science, or related technical field, or equivalent professional experience
5+ years of hands-on experience in machine learning engineering, model development, and deployment with demonstrated leadership experience
Proficiency in machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, or similar technologies
Strong programming skills in languages such as Python, R, or Scala, with experience in software development best practices
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform for ML model deployment and scaling
Proven leadership and mentoring abilities with strong analytical and problem-solving skills
Additional Preferred Qualifications
Experience with MLOps tools and practices such as MLflow, Kubeflow, or similar platforms for model lifecycle management
Knowledge of big data technologies such as Spark, Hadoop, or distributed computing frameworks
Experience with containerization and orchestration technologies such as Docker, Kubernetes, or similar platforms
Previous experience leading cross-functional teams and driving technical strategy in collaborative environments
Seniority level Mid-Senior level
Employment type Full-time
Job function Information Technology
Get notified about new Machine Learning Engineer jobs in
New York, United States .
#J-18808-Ljbffr