Clients whom we assist offer software engineers, developers, and AI Engineers immediate job openings.
Positions we assist client-companies with filling are for GUI, network s/w, telecom, DSP, firmware, AI software/tools/apps, and d/b software (s/w) engineers, or developers.
If you earned a CS, CE or closely related undergraduate or advanced degree granted by an institution of higher education, and if you have two or more years of hands-on professional work experience, or completed a great internship supervised by a faculty member as part of a degree, reach out of us.
We bring together client-companies, and software engineers, or software developers we represent. On the one hand, the following are a sample of technology software engineers / developers we represent posses whilst on the other hand these are the same technical skills many positions by a great number of our clients companies require:
C, C##, C++, O.O.D., Rust, GUI, D/B, O/S, system level, back-end d/b, front-end db, push technologies, SQL, NoSQL, NewSQL, Crystal, Dart, Elixir, Elm, Kotlin, Java, embedded, chips-firmware, DSP, MPEG, JPEG, Arction's Control and Components for Win Forms and Windows Presentation Foundation (WPF), low level Direct 3D programming to write code for data visualization, Dot Image, Jolt Image, Dotpdf, n Software Red Carpet, protocols FTP / IMAP/ SNMP/Enterprise Class Security SSL, SSH /S/MIME, Open PCP encryption, and for scripting python, and Julia, web assembly; AlphaGo AI.
Artificial Intelligence Software Engineers
Our client companies and qualified candidates qualifications in education, and technical strenghts are inclusive of the following:
Understanding of the design patterns, and object-oriented programming (OOP).
A Bachelor's degree in Computer Science, Data Science, or a related quantitative field. A Master's is often of benefit if concentrated on computer science concepts such as programming (Python), math (calculus, linear algebra, statistics), ML/DL frameworks (TensorFlow, PyTorch), data skills, and software engineering practices (MLOps, deployment).
Developing, and deploying AI models using tools like TensorFlow/PyTorch.
Building, and deploying models with advanced knowledge in areas like NLP or Computer Vision.
R, C++, Java, Lisp.
Frameworks like TensorFlow, PyTorch, Scikit-learn, cloud platforms.
In addition to strength in technology, the following areas are of great importance, too:
Clear, complete, relevant written and oral comprehensive, and prudent communication knowledge, skills and ability.
Analytical and critical thinking.
Experience or ability to work in teams, pairs, and individually.
Customer Service
If you possess a combination of the described qualifications or want candidates with these type of qualifications, reach out to us by email at CareerService@usarvaassociates.us, and by phone call us at 1-307)-509-0041.