COE -ML Engineer /Data Scientist

Qualitest Group

$130K — $140K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years of experience in data science with strong Python skills (NumPy, Pandas)
  • Hands-on experience with NLP techniques and transformer models
  • Knowledge of hybrid search algorithms and retrieval pipelines
  • Experience working with both language and multimodal models
  • Understanding of ML engineering and ML Ops practices
  • Familiarity with statistical methods like cohort analysis and A/B testing
  • Strong problem-solving skills and ability to communicate with diverse audiences

Responsibilities

  • Design and implement data science and machine learning solutions for new product development
  • Evaluate and fine-tune machine learning models in production environments
  • Collaborate with cross-functional teams to create AI/ML solutions
  • Research and recommend models across the AI/ML landscape
  • Contribute to enhancing data pipelines and knowledge extraction
  • Maintain integrity of content metadata and implement schema standards
  • Stay updated with advancements in NLP and data science technologies

Benefits

  • Support for diversity and inclusion in the workplace
  • Opportunities for internal rotation and international mobility
  • Clear career progression within a rapidly growing company
  • Access to extensive training through QualityAI Tech Academy
  • Potential to earn bonuses through referral programs
  • A competitive pay and substantial company growth since 2021
Full Job Description
Role -ML Engineer / Data Scientist

Location - Canada(remote)

Must have Skills:
  • Python (NumPy, Pandas, JSON at scale) - 3+ years of hands-on data science experience, comfortable with large-scale semi-structured data
  • NLP & Transformer Models - entity recognition, disambiguation, semantic similarity, embedding-based retrieval, plus transformer experience for extraction, classification, summarization, and generation
  • Hybrid Search/Retrieval (including ANN, BM25, Elasticsearch/OpenSearch) - hybrid search algorithms, retrieval pipelines, intent detection, query expansion, and relevance tuning
  • Multimodal/Video Data processing at scale- experience working with language and multimodal models, multimodal embedding generation, and handling visuals/video as part of real-world data pipelines


Job Description:
  • The Data Scientist will design and implement data science and applied machine learning solutions supporting new product development, search and discovery on platform, content enrichment and metadata generation.
  • As a member of cross-functional project teams, the Data Scientist will perform data analysis, evaluate commercial and open-source models, and deliver solutions with real-world impact.
  • The team works closely with various departments and functions across the organization to design, implement and manage end-to-end content metadata, to maintain the integrity of schema standards, and to build solutions with data, analytics and machine learning methods.


What you will do:
  • Evaluate, fine-tune, and maintain statistical and machine learning models used in run-time production environments, measuring and communicating performance improvements to stakeholders
  • Partner with cross-functional teams to design and optimize AI/ML solutions that deliver new product

capabilities and internal workflow improvements, using news articles, photos, videos, election results, and other news data
  • Research, evaluate, and recommend models and methodologies across the AI/ML landscape,

presenting recommended solutions to technical and non-technical stakeholders
  • Identify and address gaps in model quality and performance metrics, synthesizing findings into clear,

actionable recommendations
  • Contribute to the design and enhancement of data and ML pipelines, including multimodal embedding generation and knowledge extraction, with a focus on accuracy, efficiency, and scalability
  • Design user-centered solutions and search algorithms focused on quality and performance
  • Stay current with emerging technologies and advances in NLP, machine learning, and data science,

proactively surfacing opportunities for improvement
  • Support the full model development lifecycle, from problem definition and prototyping through integration, deployment, monitoring, and iteration
  • Communicate analysis and present findings clearly, adapting to a range of technical and business audiences


Who you are:
  • 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


What will set you apart:
  • 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


Benefits:

  • 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.


If you like what you have read, send us your resume and let's start talking!
  • 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

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