Inadev is looking to solve real-world problems with machine learning solutions for its federal agencies and commercial companies clients
Requirements
- 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.
- Experience with natural language processing (NLP) and AWS Comprehend.
- Proficiency in containerization tools like Docker and orchestration systems like Kubernetes.
Responsibilities
- 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.
Other
- 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.
