Machine Learning Engineer

Pivotal Solutions - New York, NY

Full-time - Mid Level

Remote - New York, NY

Professional, Scientific, and Technical Services

About the position

We are seeking a skilled Machine Learning Engineer to join our team. The ideal candidate will be responsible for designing, developing, and deploying machine learning models to solve real-world problems. You will work closely with data scientists, software engineers, and business stakeholders to implement advanced machine learning solutions and drive innovation within the company.

Responsibilities

• Design and develop scalable machine learning models and algorithms.
• Collaborate with cross-functional teams to integrate machine learning models into production systems.
• Analyze large datasets to extract actionable insights and identify patterns.
• Tune and optimize machine learning models for performance and accuracy.
• Stay current with the latest advancements in AI and machine learning technologies.
• Work with software development teams to ensure models are deployed efficiently and effectively.
• Develop and maintain documentation for models, algorithms, and tools used.

Requirements

• Bachelor's or Master's degree in Computer Science, Mathematics, or related field.
• Proven experience in machine learning, data science, and AI technologies.
• Proficiency in Python, R, or other programming languages used in machine learning.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Strong understanding of data structures, algorithms, and statistical modeling.
• Familiarity with cloud platforms (AWS, GCP, Azure) for deploying machine learning models.
• Excellent problem-solving skills and the ability to work independently or in a team.
• Strong communication skills to explain technical concepts to non-technical stakeholders.

Nice-to-haves

• Experience with deep learning techniques and natural language processing (NLP).
• Prior experience in deploying machine learning models in a production environment.
• Familiarity with DevOps practices and tools for machine learning pipelines (e.g., Docker, Kubernetes).

Benefits

• Competitive salary and performance bonuses.
• Health, dental, and vision insurance.
• Flexible working hours and remote work options.
• Professional development opportunities.