Machine Learning Engineer

augmentjobs
New York City, NY, United States
Temporary
Full-time
Part-time
We are sorry. The job offer you are looking for is no longer available.

We are seeking a talented and experienced Machine Learning Engineer to join our dynamic team. As a Machine Learning Engineer, you will be responsible for designing, developing, and implementing machine learning models and algorithms that drive significant business impact.

You will collaborate closely with cross-functional teams to understand business requirements, extract and analyze data from multiple sources, and translate complex data insights into actionable solutions.

This role requires a deep understanding of machine learning techniques, strong programming skills, and the ability to deploy scalable machine learning solutions in production environments.

Roles and Responsibilities :

Data Collection and Preprocessing :

  • Identify and collect relevant data from various sources, ensuring data quality and integrity.
  • Clean, preprocess, and transform raw data to prepare it for analysis and modeling.

Feature Engineering :

  • Develop and implement features that enhance model performance and accuracy.
  • Conduct exploratory data analysis to understand data patterns and relationships.

Model Development and Training :

  • Design and build machine learning models and algorithms using state-of-the-art techniques.
  • Train and optimize models using large-scale datasets to achieve desired performance metrics.

Model Evaluation and Validation :

  • Evaluate model performance and validate results using appropriate metrics.
  • Conduct rigorous testing and validation to ensure robustness and reliability of models.

Deployment and Integration :

  • Deploy machine learning models into production environments.
  • Collaborate with software engineers to integrate models into existing systems and applications.

Monitoring and Maintenance :

  • Monitor model performance in real-time and implement necessary adjustments.
  • Maintain and update models to reflect changing business conditions and requirements.

Documentation and Reporting :

  • Document code, methodologies, and experiment results thoroughly.
  • Prepare clear and concise reports and presentations for stakeholders.

Research and Innovation :

  • Stay current with latest advancements and trends in machine learning and AI.
  • Explore new algorithms and techniques to improve model accuracy and efficiency.

Compensation :

  • The compensation package for this role typically includes a competitive base salary, commensurate with experience and qualifications.
  • Additional benefits may include performance bonuses, stock options, health insurance, retirement plans, and other perks depending on company policies and location.
  • 10 days ago
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