INSPYR Solutions

TensorFlow/Machine Learning Engineer

INSPYR Solutions Orlando, FL
No longer accepting applications

Title: Tensorflow/ML Engineer

Location: Orlando, FL. Must work onsite in Orlando.

Duration: Permanent

Compensation: 100,000. to 140,000.

Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S.

Job Description

We are looking for a talented TensorFlow/Machine Learning Engineer with expertise in video processing and object detection to join our team. As a key member, you will be responsible for developing, implementing, and optimizing machine learning models using TensorFlow to detect objects such as handrails, toilets, patient beds, and more in video streams. In addition to your machine learning skills, proficiency in Web API development, SQL, and scripting languages such as JavaScript, Python, and optionally .NET is required for this role.

Key Responsibilities

  • Design, build, and train machine learning models using TensorFlow for accurate object detection in video streams. This includes data preprocessing, model architecture design, training, and optimization.
  • Implement and optimize algorithms for real-time object detection in video streams.
  • Focus on identifying specific objects relevant to the context, such as medical equipment in healthcare settings.
  • Collaborate with the development team to integrate machine learning models into web-based applications.
  • Develop RESTful APIs for seamless interaction between the machine learning backend and frontend web applications.
  • Utilize SQL skills to manage and analyze large datasets collected from video streams. Design and maintain database schemas, optimize queries, and ensure data integrity for effective model training and inference.
  • Develop scripts, utilities, and tools using JavaScript, Python, and optionally .NET for data preprocessing, model evaluation, and deployment automation.
  • Proficiency in Python is a must, with familiarity in JavaScript and .NET being advantageous.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Proven experience in developing and deploying machine learning models, particularly in video processing and object detection.
  • Expertise in TensorFlow and other deep learning frameworks for model development and training.
  • Strong understanding of web technologies and experience in developing RESTful APIs.
  • Proficiency in SQL for database management and data analysis.
  • Excellent programming skills in Python, with proficiency in JavaScript and optionally .NET.
  • Strong problem-solving skills and ability to work both independently and collaboratively in a fast-paced environment.
  • Effective communication skills and ability to convey technical concepts to diverse stakeholders.
  • Join us in pushing the boundaries of AI and machine learning to revolutionize video analysis. If you are passionate about leveraging technology to make a real-world impact, we want to hear from you!

About INSPYR Solutions

Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients’ business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.

INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.

  • Seniority level

    Entry level
  • Employment type

    Full-time
  • Job function

    Engineering and Information Technology
  • Industries

    Staffing and Recruiting

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