GenAI Developer

Net2Source Inc.; Basking Ridge (NJ); On-site; USD 90,000 - 150,000; Full time

Job summary

An innovative firm is seeking a GenAI Senior Developer to create scalable and resilient solutions in cloud environments. This role involves collaborating with architects to ensure high-quality code delivery while mentoring junior developers. The ideal candidate will have extensive experience in Python and machine learning frameworks, contributing to impactful projects in a supportive and inclusive culture. Join a company that values your perspective and offers opportunities for strategic impact and innovation in a rapidly growing industry.

Qualifications

• 5+ years of software development experience in production environments.
• 3+ years of experience with Python and ML packages.

Responsibilities

• Develop scalable GenAI solutions in AWS and GCP.
• Coach and mentor junior developers, participate in code reviews.

Skills

Python

Machine Learning

TensorFlow

Keras

NumPy

Pandas

PyTorch

Scikit-learn

Matplotlib

Tools

AWS

GCP

Job description

Location: Basking Ridge, NJ (Hybrid)

Type: Long Term Contract

Job Description:

• We are looking for a GenAI senior developer to work with our architects to build scalable, flexible and resilient GenAI solutions in AWS and GCP. Follow the best practices in developing and delivering quality code that meets the functional and non-functional requirements. You will be responsible to help identify requirement gaps, identify and defend your implementation approach to clients and peers. Coach and mentor junior developers and participate in peer reviews.
• Ensure delivery of high quality production code meeting the functional and non-functional requirements on time.
• Identify implementation approach by working closely with the architects and clients.
• Adopt and advocate best development practices.
• Participate in code reviews and mentor junior developers.
• Plan and provide production support.

Minimum Qualifications:

• 5+ years of software development experience in developing and deploying in production environments.
• 3+ years of experience in Python and most of the ML related packages tensorflow, keras, numpy, pandas, pytorch, Scikit learn, matplotlib, etc.

Preferred Qualifications:

• Experience in working on GCP/AWS environments.
• 3+ years of experience in Python, tensorflow, keras, numpy, pandas, pytorch, Scikit learn, matplotlib, etc.

If you are interested, please forward your resume to [e-mail].

Why work with us: At Net2Source, we believe everyone has an opportunity to lead. We see the importance of your perspective and your ability to create value. We want you to fit in—with an inclusive culture, focus on work-life fit and well-being, and a supportive, connected environment; but we also want you to stand out—with opportunities to have a strategic impact, innovate, and take necessary steps to make your mark.

Equal Employment Opportunity Statement:

Net2Source is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

Awards and Accolades:

• America's Most Honored Businesses (Top 10%)
• Awarded by USPAAC for Fastest Growing Business in the US
• 12th Fastest Growing Staffing Company in USA by Staffing industry Analysts in the US (2020, 2019, 2020)
• Fastest 50 by NJ Biz (2020, 2019, 2020)
• INC 5000 Fastest growing for 8 consecutive years in a row (only 1.26% companies make it to this list)
• Top 100 by Dallas Business Journal (2020 and 2019)
• Proven Supplier of the Year by Workforce Logiq (2020 and 2019)
• 2019 Spirit of Alliance Award by Agile1
• 2018 Best of the Best Platinum Award by Agile1
• 2018 TechServe Alliance Excellence Awards Winner
• 2017 Best of the Best Gold Award by Agile1(Act1 Group)

Regards,

Amir Ahmad

Account Manager

Net2Source Inc.