W-2 Jobs Portal

  • W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.
Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters

Job Overview

  • Job ID:


  • Specialized Area:

    Machine learning

  • Job Title:

    Machine Learning

  • Location:


  • Duration:

    3 Months

  • Domain Exposure:

    Healthcare, Government, Telecom, Education, Real Estate

  • Work Authorization:

    US Citizen, Green Card, OPT-EAD, CPT, H-1B,
    H4-EAD, L2-EAD, GC-EAD

  • Client:

    To Be Discussed Later

  • Employment Type:

    W-2 (Consultant must be on our company payroll. C2C is not allowed)

Job Description

Job Details:
We are seeking a dynamic, innovative and experienced Senior Machine Learning/Computer Vision Engineer to join our team. This role will put you at the forefront of cutting-edge technology, working on projects that will transform the tech industry and impact millions of users worldwide. You will work in a fast-paced, collaborative environment, contributing to the development and implementation of advanced machine learning algorithms and computer vision techniques.
1. Develop and implement advanced machine learning algorithms and computer vision techniques to solve complex problems and create innovative solutions.
2. Work closely with cross-functional teams to integrate machine learning models into system-level solutions.
3. Lead the design, development, and deployment of object detection, object classification, facial recognition, sensor fusion, and anomaly detection systems.
4. Optimize machine learning and deep learning models for deployment on various platforms.
5. Research and implement novel machine learning and computer vision techniques, staying up-to-date with the latest advancements in the field.
6. Provide technical leadership and mentorship to junior engineers, fostering an environment of continuous learning and improvement.
7. Participate in code and design reviews to maintain high-quality code.
1. Bachelor's degree in Computer Science, Electrical Engineering, or a related field. Advanced degree is preferred.
2. Minimum of 5 years of experience in machine learning and computer vision.
3. Proficient in C++, Python, and Tensorflow.
4. Experience with object classification, object detection, facial recognition, sensor fusion, and anomaly detection.
5. Deep understanding of deep learning algorithms and their implementation.
6. Experience in optimizing machine learning models for deployment on various platforms, including CPUs.
7. Strong analytical and problem-solving skills.
8. Excellent communication and leadership skills.
9. Ability to work effectively in a dynamic, collaborative, and fast-paced environment.
10. Demonstrated ability to stay current with the latest technologies and research in the field of machine learning and computer vision.
Join us in shaping the future of technology. We believe in pushing boundaries, embracing challenges, and transforming the world one algorithm at a time. If you are passionate about machine learning and computer vision and are ready to take your career to the next level, apply today.

Apply Now
Equal Opportunity Employer

ROBOTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ROBOTICS TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ROBOTICS TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract