Lead AI/ML Engineer

Net2Source Inc. is an award-winning total workforce solutions company recognized by Staffing Industry Analysts for our accelerated growth of 300% in the last 3 years with over 5500+ employees globally, with over 30+ locations in the US and global operations in 32 countries. We believe in providing staffing solutions to address the current talent gap – Right Talent – Right Time – Right Place – Right Price and acting as a Career Coach to our consultants.

Role - Lead AI/ML Engineer

Location - Seattle, WA (Hybrid Role)

Full-Time Opportunity

This role would require you to be on premises 2-3 days a week.

Preference to someone coming from data-data analytics background

13+ years of IT exp along with 6+years exp in AI/ML experience is must.

What you’ll do:

• You will design, build, and maintain scalable and robust data pipelines and architectures to support data collection, transformation, and integration from various sources.

• Lead and mentor team members, fostering their professional growth and ensuring high standards of engineering excellence.

• Demonstrate effective communication skills by clearly articulating complex technical concepts to both technical and non-technical stakeholders.

• Facilitate seamless collaboration with cross-functional teams from Business and Technology domains to align project goals, gather requirements, and drive successful project outcomes.

• You will communicate complex technical findings and solutions to both technical and nontechnical stakeholders.

Must Haves:

• A bachelor's degree in computer science, software engineering, or a related field.

• 6+ years of strong experience in building models and extracting insights with supervised and unsupervised techniques using both machine learning and deep learning methodologies.

• Build, deploy, monitor, and maintain Machine Learning models which could be stand alone or be part of AI Products.

• Hands on experience in Experience with building models on structured and unstructured data.

• Hands on experience in Python based ML frameworks like Scikit-learn, SciPy, TensorFlow, PyTorch, MLFlow, Hugging Face, Databricks (nice to have).

• Stay updated with advancements in AI/ML, particularly in time-sensitive prediction methodologies and technologies.

Thanks

Anup Kumar Tiwary

Sr. Technical Recruiter

anup.tiwary@net2source.com

(201) 479-0965 Ext.405