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Senior Technical Lead

Sweden

Job Description

Senior Technical Lead

Malmo, Skåne län

Job Summary

The Data Scientist / Machine Learning Engineer will design, develop, validate, and operationalise AI/ML capabilities that support Content Management products and business outcomes. The role focuses on Content Insights, Ratings & Reviews AI, user-generated visual content pre-moderation, and image classification, helping create a sustainable data and AI foundation for content operations.

Key Responsibilities

AI/ML Solution Development

- Develop machine learning models and analytical solutions for Content Management use cases.
- Build AI/ML capabilities for image classification, content trend analysis, and user-generated content pre-moderation.
- Support Ratings & Reviews AI use cases, including summarisation and insight extraction where applicable.
- Design experiments and model evaluation approaches to validate model quality and business impact.

Data Science & Advanced Analytics
- Analyse content, behavioural, and operational datasets to identify patterns, trends, and improvement opportunities.
- Apply statistical analysis, ML techniques, NLP, and classification methods to solve Content Management problems.
- Use SQL, Python, BigQuery, and GCP-based tools to explore, transform, and model data.
- Support A/B testing and experimentation to measure the effectiveness of AI/ML-driven capabilities.

Machine Learning Engineering & Production Readiness
- Collaborate with Data Engineers and Software Engineers to integrate ML models into scalable pipelines and product platforms.
- Support model deployment, monitoring, retraining, and lifecycle management in GCP-based environments.
- Build maintainable ML components that can be operated beyond individual resource cycles.
- Contribute to repeatable and reliable approaches for moving models from experimentation to production.

Content Insights & AI Enablement
- Enable data-driven content insights that help improve content performance and operational decision-making.
- Support AI-enabled workflows for moderation, classification, summarisation, and analysis of content data.
- Partner with product and data teams to prioritise AI/ML use cases based on value, feasibility, and readiness.
- Contribute to the broader sustainable data and AI foundation for Content Management.

Cross-functional Collaboration
- Work closely with Product Owners, Data Engineers, Software Engineers, Product Specialists, and business stakeholders.
- Translate business problems into practical analytical and machine learning solutions.
- Communicate model insights, limitations, assumptions,



and outcomes clearly to technical and non-technical stakeholders.
- Support cross-functional initiatives across stakeholder and related domains where required by roadmap priorities.
- AI/ML models and analytical solutions support Content Insights, R&R; AI, UGVC pre-moderation, and image classification outcomes.
- Models are evaluated, documented, and integrated into sustainable data and product workflows.
- AI-enabled capabilities improve content operations, moderation, classification, summarisation, or insight generation.
- Collaboration with data, engineering, and product teams results in production-ready, maintainable solutions.
- Business stakeholders receive clear, actionable insights from model outputs and analysis.

Skill Requirements

Required Skills & Experience

- Senior-level experience in Data Science, Machine Learning Engineering, or applied AI roles.
- Solid hands-on experience with Python and SQL.
- Experience with BigQuery and Google Cloud Platform (GCP).
- Strong knowledge of machine learning, NLP, image classification, and model evaluation.
- Experience with A/B testing, experimentation, and data-driven validation approaches.
- Ability to work with large datasets and build scalable analytical or ML solutions.
- Experience collaborating in Agile, cross-functional product teams.
- Business-level English communication skills.

Preferred / Nice-to-Have Skills
- Experience with production ML pipelines, MLOps practices, model monitoring, and retraining workflows.
- Experience with content analytics, CMS/DAM ecosystems, ratings & reviews, or user-generated content workflows.
- Exposure to computer vision, text summarisation, moderation models, recommendation systems, or content trend analysis.
- Experience working with cloud-native AI/ML services and scalable data platforms.
- Experience working with global stakeholders while operating primarily in CET hours.

Other Requirements

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Information at a Glance

Why HCLTech?

At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026 totaled $14.8 billion.

Copyright © 2026 HCL Technologies Limited

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