Machine Learning Engineer

Hiring: W2 Candidates Only

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

Level: Mid to Lead positions

POSITION DESCRIPTION:

We are seeking a talented Machine Learning Engineer to join our team and play a crucial role in designing, building, and deploying machine learning models. The ideal candidate will have strong Python programming skills, hands-on experience with AWS managed services for AI/ML, and a passion for solving real-world problems with machine learning solutions.

RESPONSIBILITES:

• Design, develop, and deploy scalable machine learning models and solutions.
• Collaborate with cross-functional teams to define ML problem statements, build prototypes, and implement solutions.
• Use AWS AI/ML services such as Amazon SageMaker, Comprehend, Polly, and other tools to build and optimize models.
• Develop and maintain robust ETL pipelines for pre-processing, cleaning, de-duplicating, finding similarities, and analyzing large datasets.
• Monitor, evaluate, and optimize model performance to meet business objectives.
• Automate model deployment and maintenance using MLOps best practices.
• Collaborate with DevOps and data engineering teams to ensure smooth integration of ML solutions.
• Stay updated with the latest trends and technologies in AI/ML and cloud computing.

NON-TECHNICAL REQUIREMENTS:

• Must be willing to work on Eastern Standard Business hours.
• Candidates must currently reside in the continental United States.
• Must have the ability to pass a 5+year background check and obtain/maintain a U.S. Government Clearance.
• Strong communication and presentation skills.
• Must be able to prioritize and self-start.
• Must be adaptable/flexible as priorities shift.
• Must be enthusiastic and have passion for learning and constant improvement.
• Must be open to collaboration, feedback and client asks.
• Must enjoy working with a vibrant team of outgoing personalities.

MANDATORY REQUIREMENTS/SKILLS:

• Bachelor s Degree in Computer Science, Data Science, or a related discipline and 5+ years of experience in Machine Learning, Data Science, or a similar role/field.
• Strong proficiency in Python with experience in libraries such as TensorFlow, PyTorch, Scikit-learn, Pandas, and NumPy.
• Experience with AWS services for AI/ML, including SageMaker, Lambda, Step Functions, DynamoDB, and Glue.
• Solid understanding of supervised, unsupervised, and reinforcement learning techniques.
• Knowledge of MLOps principles and tools like MLflow, Kubeflow, or AWS equivalents.
• Familiarity with data preprocessing, feature engineering, and model evaluation metrics.

DESIRED REQUIREMENTS/SKILLS:

• Experience with natural language processing (NLP) and AWS Comprehend.
• Proficiency in containerization tools like Docker and orchestration systems like Kubernetes.
• AWS Certification (e.g., AWS Certified Machine Learning Specialty).
• Experience with Databricks