We are hiring a Senior AI/ML Engineer (Remote) to join our team and drive datadriven decisionmaking across our digital platform. Apply now to be part of the team.
Responsibilities:
- ML Model Development: Apply advanced machine learning techniques to understand customer behavior drive product adoption and improve user engagement.
- Pipeline Design & Implementation: Design build and maintain scalable machine learning pipelines to support product development and evidencebased decisionmaking.
- Crossfunctional Collaboration: Partner with senior leaders across Product Engineering Product Marketing and Design to ensure the effective use of ML models for business impact.
- Data Analysis & Insights: Use data science and quantitative analysis techniques to influence product strategy roadmap prioritization and user experience improvements.
- Technical Leadership: Mentor and guide junior team members ensuring best practices in model development coding and production deployment.
- MLDriven Features: Deliver key MLpowered features for our Digital Customer Platform ensuring high scalability performance and reliability.
Minimum Qualifications:
- Educational Background: MS/PhD in Mathematics Statistics Computer Science Physical Sciences or a related quantitative field.
- Experience: 5 years of industry experience working on MLbased solutions from concept to production.
- Technical Skills:
- Proficiency with machine learning libraries and frameworks (TensorFlow PyTorch Scikitlearn etc.).
- Handson experience with Large Language Models (LLMs) RAG (RetrievalAugmented Generation) and Generative AI.
- Expertise in Natural Language Processing (NLP) for text analysis and understanding.
- Experience with big data platforms (Hadoop Spark Hive) and cloud environments (AWS preferred).
- Strong SQL and NoSQL database skills.
- Proficiency in at least one programming language (Python or Java).
- Experience with MLOps tools and techniques to streamline ML workflows and production deployment.
APPLY NOW!
NearSource Technologies values diversity and is committed to equal opportunity. All qualified applicants will be considered regardless of their race colour religion sex sexual orientation gender identity national origin disability or status as protected veterans.