COE -ML Engineer /Data Scientist

3+ years of relevant data science experience, with strong proficiency in Python including NumPy, Pandas, and large-scale semi-structured JSON data

Bachelor’s degree in data science or computer science

Experienced applying core machine learning methods including classification, clustering, regression, and ranking

Hands-on experience with NLP techniques such as entity recognition, disambiguation, semantic similarity, and embedding-based retrieval

Experience with transformer models for structured extraction, classification, summarization, and generation

Experience with hybrid search algorithms, retrieval pipelines, intent detection, query expansion, and relevance tuning in Elasticsearch or OpenSearch

Experience working with both language and multimodal models

Experience and comfort working with real-world data, including text and visuals, at scale

Familiar with ML engineering and ML Ops practices, with a track record of delivering runtime solutions

Familiarity with cohort analysis, session segmentation, A/B testing, and confidence calibration

Analytical and curious, with strong problem-solving skills and a practical focus on high-impact, cost-aware solutions

Able to effectively manage multiple project deliverables simultaneously

Comfortable being accountable for deliverables across the full product development lifecycle, from problem definition through launch and iteration

An effective communicator who can tailor analysis and presentations to both technical and non-technical audiences

Collaborative and empathetic, with a genuine focus on user impact and a desire to grow data literacy across the organization

Advanced-level professional competency in written and spoken English

Authorization to work in the United States for any employer

Experience in news media or working with news as data strongly preferred

Master’s degree in data science or a related field

Familiarity with graph data models and designing entity-relationship schemas

Eagerness to learn the technical nuances of large-scale media operations and identify opportunities within evolving systems

QualityAI is an AI-first quality engineering company helping enterprises deploy and scale complex systems with greater confidence. Operating across data, models, platforms, infrastructure, and operational environments, the company provides assurance and engineering expertise that helps organizations ensure systems perform reliably in real-world conditions.

Formerly Qualitest, QualityAI supports global enterprises across regulated and technology-driven industries, combining deep engineering heritage with AI-enabled delivery, operational assurance, and lifecycle expertise to help clients achieve certainty at go-live.

Be a part of a company who strives to support for diversity and inclusion in the workplace - we are one, we are many at QualityAI. Celebrate culture, share knowledge with engineers from around the globe, and inspire each other through our differences.

Local and global opportunities - we offer you internal rotation and international mobility opportunities to grow your career.

Clear view of your career and progression with the company - QualityAI is growing massively (since Jan 2021 - added more than 2000 engineers) and giving you the opportunity to grow with us.

Never stop experimenting and learning with QualityAI Tech academy: 3000+ training courses, mentorship programs, technical tribes, sponsored certifications, leadership programs and much more.

Earn bonuses via our Client Referral and Employee Referral Program’s. Refer and earn - tap your network for net-worth.

A Competitive pay, the salary range for the role is $130,000–$140,000 Cad per annum.

Intrigued to find more about us?

Visit our website at QualityAI (Formerly Qualitest Group) | World’s Leading AI-First Quality Engineering Company

LinkedIn: https://www.linkedin.com/company/qualityaigroup

Nearest Major Market: San Jose Nearest Secondary Market: Palo Alto