ECS Logo

ECS

AI/ML Engineer

Posted 23 Days Ago
In-Office
Tampa, FL
Senior level
In-Office
Tampa, FL
Senior level
The AI/ML Engineer will support AI initiatives, manage data systems, develop ML solutions, and work in agile environments focused on national security.
The summary above was generated by AI
Job Summary & Responsibilities

ECS is seeking an AI / ML Engineer to be based in Tampa, FL.   Please Note: This position is contingent upon additional funding.


This position collaboratively supports a project team responsible for managing an Artificial Intelligence initiative, reports to a project lead and is focused on providing data management and technical architecture support, including cloud and on-premises resources for Artificial Intelligence development.


As an AI / ML Engineer you will be responsible for the day-to-day operations of systems that depend on data, ensuring data is properly processed and securely transferred to its appropriate location, in a timely manner. The work is performed in a multidisciplinary team environment using agile methodologies. The candidate we seek must be highly motivated and enthusiastic about implementing new technologies and learning about new data in a small team environment where deadlines are important to national security.


Responsibilities:

  • Work closely with data engineers and architects to engineer Extract, Transform, Load (ETL) solutions to prepare raw data for ingest into machine learning (ML) environments for algorithm training, tuning and evaluation.
  • Design, develop and maintain data services and/or pipelines as part of an Agile/Scrum team.
  • Support continuous process automation for data ingest.
  • Support the development and integration of ML algorithms for testing and operational deployment.
  • Perform data analysis to assist in decision-making.
  • Assist in architecture design for cloud and on-premise solutions.
  • Work with program management and engineers to implement and document complex and evolving requirements.
  • Perform multiple tasks simultaneously with evolving requirements and deadlines.
  • Help cultivate an environment that promotes customer service excellence, innovation, collaboration, and teamwork.
  • Learn and apply new tools and techniques in support of ML algorithm development.
Preferred Qualifications
  • Must be a US Citizen and have an active Secret security clearance with the ability to obtain a Top Secret clearance.
  • Possess a Bachelor’s degree in data science, Mathematics, Statistics, Information Management, Computer Science, Engineering, or an equivalent STEM field.
  • 5-7+ years of working experience in one of the related areas: Data Science, Computer Science or Computer Engineering. Relevant course work may be considered as a substitute for work experience.
  • Experience working with cloud technologies (Amazon Web Services, Microsoft Azure, etc.).
  • Experience with industry standard machine learning & deep learning frameworks (TensorFlow and PyTorch, OpenCV, Keras).
  • Familiarity with data annotation and curation tools (CVAT, Roboflow, etc.)
  • Experience developing and executing test plans for computer vision models, identify bugs and issues, and validating model performance.
  • Familiarity with computer vision model performance metrics such as mAP, F1, Precision, Recall, etc.
  • Strong analytical and problem-solving abilities.
  • Experience with Linux OS (RHEL, Ubuntu).
  • Experience with programming languages Python, Bash, Java, and/or SQL.
  • Experience transforming and manipulating data sets.
  • Excellent communication and presentation skills.
  • Up to 10% travel required to support onsite collaboration at ECS Fairfax, VA location.

Top Skills

Amazon Web Services
Bash
Cloud Technologies
Java
Keras
Linux
Azure
Opencv
Python
PyTorch
SQL
TensorFlow

Similar Jobs

13 Hours Ago
In-Office
4 Locations
99K-207K Annually
Mid level
99K-207K Annually
Mid level
Information Technology • Consulting • Defense
The role involves applying machine learning and statistics to develop algorithms for RF domain challenges, managing data pipelines and deploying ML solutions on cloud services.
Top Skills: AirflowAWSAzureGCPPythonPyTorchScikit-LearnSparkSQLTensorFlow
10 Days Ago
In-Office
Miami Lakes, FL, USA
Senior level
Senior level
Fintech
As an AI/ML Solutions Engineer, you'll design and implement AI/ML models and data pipelines, collaborate on innovation, and ensure compliance with regulations in banking.
Top Skills: AirflowAthenaAWSAws S3Aws Step FunctionsGlueHugging FaceNoSQLPythonPyTorchRedshiftSagemakerSQLTensorFlow
17 Hours Ago
In-Office
4 Locations
90K-190K Annually
Mid level
90K-190K Annually
Mid level
Information Technology • Consulting • Defense
Develop algorithms using machine learning and statistics to address complex problems. Manage data processing pipelines and deploy solutions on cloud infrastructure.
Top Skills: AirflowAWSAzureGCPPythonPyTorchScikit-LearnSparkSQLTensorFlow

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account