.About YellowIpe Our mission is to inspire the connection between technology and people.
We foster the best of our professionals through our expertise in finding and attracting the best talent for the best projects.
The focus on people, collaboration, and commitment are the pillars that guide us in this trajectory.
Join the yellow team as our new Staff Machine Learning Engineer!
What You'll Be Doing: Lead initiatives with substantial scope and uncertainty, often related to developing new products or revenue opportunities.
Play a critical role in shaping the team's roadmap by identifying strategic and technical priorities and proposing areas of focus.
Make a significant impact by sharing expertise in building ML systems, with a particular focus on advancements in Generative AI.
Provide key insights to executive leadership regarding emerging technical initiatives and opportunities aligned with industry trends.
Actively engage in the design, development, evaluation, deployment, and enhancement of products through hands-on AI/ML contributions.
Build and maintain data processing workflows to gather and process the information needed for model training and evaluation.
Collaborate closely with Product, Data, and Engineering teams to define and deliver AI/ML-powered features for both internal and external stakeholders.
Identify opportunities for optimization by introducing and implementing processes that enhance the team's efficiency and delivery speed.
Tackle complex, undefined, and challenging technical issues, where previous team efforts may not offer clear solutions.
What You Need to Have: Over 6 years of professional experience in Machine Learning, preferably in AI-focused companies.
Deep technical expertise in Large Language Models (LLMs) and Generative AI, with proven experience delivering applications powered by these technologies.
Experience leading and managing complex and loosely defined projects from ideation through implementation and maintenance.
Hands-on experience building and maintaining production-grade machine learning systems.
Strong background in SQL and Python, along with experience developing production-ready software.
Proficient knowledge of the Python data ecosystem (such as numpy, pandas, matplotlib, scikit-learn, etc.).
Experience providing technical guidance and mentoring team members.
Quick learning ability and the capacity to deeply understand new problems and domains.
Strong communication skills to effectively convey concepts to both technical and non-technical stakeholders.
A self-driven and independent mindset, with the ability to work autonomously.
Excellent problem-solving skills and adaptability in handling shifting or conflicting priorities.
Proven track record of building scalable and reliable software applications