Data Science Innovator

5 days ago

Boston, Massachusetts, United States Unreal Gigs Full time
Unreal Gigs Seeks Skilled Machine Learning Engineer

Estimated Annual Salary: $140,000 - $200,000

About the Role

We are seeking an experienced Machine Learning Engineer to join our team at Unreal Gigs. As a key member of our data science department, you will be responsible for designing and developing machine learning models that drive business innovation.

Key Responsibilities
  1. Design and Develop Machine Learning Models
  • Build and deploy machine learning models using algorithms such as regression, classification, clustering, and deep learning. You will work with large datasets to train models that solve real-world problems like prediction, recommendation, and automation.
Model Training and Hyperparameter Tuning
  • Experiment with different model architectures and optimize hyperparameters to improve model accuracy and efficiency. You will apply cross-validation, regularization, and other techniques to ensure high-performing models.
Data Processing and Feature Engineering
  • Collaborate with data engineers and scientists to preprocess, clean, and transform large datasets into formats that are suitable for machine learning. You will perform feature engineering to extract meaningful features that enhance model performance.
Deploy Models into Production
  • Implement machine learning models in production environments, ensuring that they are scalable, reliable, and efficient. You will work with cloud platforms and DevOps teams to deploy models using technologies like Docker, Kubernetes, and CI/CD pipelines.
Monitor and Improve Model Performance
  • Continuously monitor model performance in production, detecting issues such as model drift or degradation. You will retrain and optimize models as needed, ensuring that they remain accurate and relevant over time.
Cross-Functional Collaboration
  • Work closely with software developers, product managers, and data scientists to integrate machine learning models into products and services. You will ensure that AI solutions meet business objectives and deliver measurable value.


Requirements

To be successful in this role, you should possess:

  1. Strong Machine Learning Expertise
  • Experience with machine learning algorithms, including supervised and unsupervised learning techniques.
  • Familiarity with tools like TensorFlow, PyTorch, Scikit-learn, and Keras for building and deploying models.
Programming and Software Development Skills
  • Proficiency in programming languages such as Python, R, or Scala, with experience writing production-level code.
  • Able to build, test, and deploy machine learning solutions efficiently.
Data Engineering and Feature Engineering
  • Hands-on experience with data preprocessing, feature selection, and engineering.
  • Understand how to handle large datasets and optimize them for machine learning workflows.
Model Deployment and DevOps
  • Experience deploying machine learning models into production using cloud platforms (AWS, GCP, Azure) and containerization tools like Docker.
  • Able to implement models that scale efficiently.
Collaboration and Communication Skills
  • Excellent collaboration skills, with the ability to work closely with cross-functional teams to translate business requirements into machine learning solutions.
  • Able to explain technical concepts clearly to non-technical stakeholders.


Educational Requirements

We require:

  1. Bachelor's or Master's Degree
  • In Computer Science, Data Science, AI, or a related field.
Certifications or Additional Coursework
  • Certifications or additional coursework in machine learning, AI, or data science are a plus.


Experience Requirements

You should have:

  1. 3+ Years of Experience
  • In machine learning engineering, with hands-on experience building and deploying machine learning models in production environments.
Proven Track Record
  • A proven track record of working with large datasets, designing machine learning pipelines, and delivering AI-driven solutions that solve business problems.
Cloud-Based AI Services Experience
  • Experience working with cloud-based AI services (AWS SageMaker, Google AI Platform, Azure ML) is highly desirable.


Benefits

We offer a comprehensive benefits package, including:

  1. Health and Wellness Benefits
  • Comprehensive medical, dental, and vision insurance plans with low co-pays and premiums.
Paid Time Off
  • Competitive vacation, sick leave, and 20 paid holidays per year.
Work-Life Balance
  • Flexible work schedules and telecommuting options.
Professional Development Opportunities
  • Opportunities for training, certification reimbursement, and career advancement programs.
Wellness Programs
  • Access to wellness programs, including gym memberships, health screenings, and mental health resources.
Life and Disability Insurance
  • Life insurance and short-term/long-term disability coverage.
Employee Assistance Program (EAP)
  • Confidential counseling and support services for personal and professional challenges.
Tuition Reimbursement
  • Financial assistance for continuing education and professional development.
Community Engagement
  • Opportunities to participate in community service and volunteer activities.
Recognition Programs
  • Employee recognition programs to celebrate achievements and milestones.

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