Machine Learning Engineer

Description

Formed in 2011, Inadev is focused on its founding principle to build innovative customer-centric solutions incredibly fast, secure, and at scale. We deliver world-class digital experiences to some of the largest federal agencies and commercial companies. Our technical expertise and innovations are comprised of codeless automation, identity intelligence, immersive technology, artificial intelligence/machine learning (AI/ML), virtualization, and digital transformation.

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, Bedrock, Textract, 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.
• Participate in Coding Challenges on an as needed basis.
  
  

Physical Demands

• Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions
  
  

Inadev Corporation does not discriminate against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibits discrimination against all individuals based on their race, color, religion, sex, sexual orientation/gender identity, or national origin.

Requirements

NON-TECHNICAL REQUIREMENTS:

• Must be a U.S. Citizen.
• 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 7-year background check and obtain/maintain a U.S. Government Clearance.
• Must be willing to participate in coding challenges on an as needed basis.
• 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