Machine Learning Lead Engineer

Queens, NY - USA

Monthly Salary: Not Disclosed

Posted on: 8 hours ago

Vacancies: 1 Vacancy

Job Summary

Job Title: Machine Learning Lead Engineer
Location: Queens New York
Experience Required: 12 Years
Employment Type: Contract
Interview Type: In-Person or Webcam

Job Description

We are seeking a highly experienced Machine Learning Lead Engineer to drive the design development and deployment of advanced machine learning models and AI-driven solutions. This role involves leading technical strategy guiding data science initiatives and working closely with cross-functional teams to deliver scalable and efficient machine learning systems. The ideal candidate will bring strong leadership hands-on engineering expertise and a deep understanding of modern machine learning technologies and tools.

Key Responsibilities

Lead the development training testing and deployment of machine learning and deep learning models.
Architect and implement scalable ML pipelines and production-grade systems.
Collaborate with data engineers product managers and software developers to integrate ML capabilities into applications.
Manage model performance optimization drift monitoring and continuous improvements.
Evaluate new algorithms technologies and frameworks to enhance system performance.
Oversee the end-to-end ML lifecycle including feature engineering data preprocessing and dataset management.
Guide and mentor junior team members promoting best practices and code quality.
Document architecture workflows and research findings.
Ensure security compliance and reliability of data and models.
Work directly with business stakeholders to translate requirements into technical ML solutions.

Required Skills and Qualifications

Bachelors or Masters degree in Computer Science Artificial Intelligence Data Science or related field.
12 years of experience in machine learning engineering data science or AI solution design.
Expertise in machine learning algorithms deep learning architectures and statistical modeling.
Strong programming skills in Python and experience with ML frameworks such as TensorFlow PyTorch Scikit-learn and Keras.
Hands-on experience building production ML pipelines using tools like Kubernetes Docker Airflow or MLflow.
Strong knowledge of cloud platforms such as AWS Azure or Google Cloud.
Experience with large-scale data processing using Spark Hadoop or similar technologies.
Proficiency in SQL and NoSQL databases.
Ability to present technical concepts to both technical and non-technical stakeholders.
Strong problem-solving skills analytical thinking and team leadership abilities.

Job Title: Machine Learning Lead Engineer Location: Queens New York Experience Required: 12 Years Employment Type: Contract Interview Type: In-Person or Webcam Job Description We are seeking a highly experienced Machine Learning Lead Engineer to drive the design development and deployment of advance...

Job Title: Machine Learning Lead Engineer
Location: Queens New York
Experience Required: 12 Years
Employment Type: Contract
Interview Type: In-Person or Webcam

Job Description

Key Responsibilities

Lead the development training testing and deployment of machine learning and deep learning models.
Architect and implement scalable ML pipelines and production-grade systems.
Collaborate with data engineers product managers and software developers to integrate ML capabilities into applications.
Manage model performance optimization drift monitoring and continuous improvements.
Evaluate new algorithms technologies and frameworks to enhance system performance.
Oversee the end-to-end ML lifecycle including feature engineering data preprocessing and dataset management.
Guide and mentor junior team members promoting best practices and code quality.
Document architecture workflows and research findings.
Ensure security compliance and reliability of data and models.
Work directly with business stakeholders to translate requirements into technical ML solutions.

Required Skills and Qualifications

Bachelors or Masters degree in Computer Science Artificial Intelligence Data Science or related field.
12 years of experience in machine learning engineering data science or AI solution design.
Expertise in machine learning algorithms deep learning architectures and statistical modeling.
Strong programming skills in Python and experience with ML frameworks such as TensorFlow PyTorch Scikit-learn and Keras.
Hands-on experience building production ML pipelines using tools like Kubernetes Docker Airflow or MLflow.
Strong knowledge of cloud platforms such as AWS Azure or Google Cloud.
Experience with large-scale data processing using Spark Hadoop or similar technologies.
Proficiency in SQL and NoSQL databases.
Ability to present technical concepts to both technical and non-technical stakeholders.
Strong problem-solving skills analytical thinking and team leadership abilities.