Machine Learning Engineer

Hiring: W2 Candidates Only

Location: USA

Visa: Open to any visa type with valid work authorization in the USA

Level: Mid to Lead positions

What you will do:

• Develop and implement machine learning models and algorithms to optimize AI operations and enhance system performance.
• Collaborate with cross-functional teams to identify business needs and translate them into data-driven solutions.
• Analyze large datasets to extract actionable insights and support strategic decision-making.
• Design and conduct experiments to validate model performance and improve operational processes.
• Monitor and maintain AI models in production to ensure effective and efficient operation.
• Communicate findings and recommendations to stakeholders through clear visualizations and presentations.

What you will need to have:

• 7+ years of experience in data science, focusing on AI and machine learning applications.
• 5+ years of experience in programming with Python, R, or Scala and using data manipulation libraries like Pandas, Numpy.
• 5+ years of experience working with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• 7+ years of experience with cloud platforms like AWS or Azure and big data technologies such as Hadoop, Spark.
• Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related field, and/or equivalent military experience.

What would be great to have:

• 5+ years of experience designing and deploying end-to-end machine learning pipelines in production environments.
• 4+ years of expertise in natural language processing (NLP) and computer vision techniques.
• 3+ years of knowledge in reinforcement learning and its practical applications.
• 4+ years of experience with ML Ops tools and practices for continuous integration and deployment of machine learning models.
• 3+ years of familiarity with regulatory and compliance considerations for AI and machine learning solutions.