Technical AI Project Manager - Model Deployment

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August 16

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Helprise

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Recruitment • B2B • Enterprise

Helprise is a company dedicated to providing top-tier talent and know-how to enhance the execution of its clients’ business processes. More than just a service provider, Helprise focuses on creating an ecosystem that delivers unique value to customers, partners, candidates, and employees. The company tailors its services to meet the specific needs of each organization or individual, ensuring holistic and high-quality solutions. Helprise values reliability, involvement, synergy, and excellence, maintaining a commitment to transparency and adaptability. With a seasoned team of experts, Helprise supports various business functions, maps and improves processes, and facilitates operational work. The company's involvement in associations like the Association of Business Service Leaders and ESG initiatives underscores its commitment to excellence and continuous improvement.

51 - 200 employees

🎯 Recruiter

🤝 B2B

🏢 Enterprise

📋 Description

• Join Helprise – one of the fastest growing outsourcing and consultancy firms providing the best talent, know-how and solutions for the execution of business processes. Be part of building an ecosystem that gives unique value to our customers, partners, candidates and employees. We are your career advocates – offering extraordinary opportunities to grow with us, by supporting top global brands in their development of business and technology services internationally. • Join our AI Enablement team to oversee the deployment of machine learning models into production environments. • As a Technical AI Project Manager, you'll work at the intersection of data science, DevOps, and business delivery, ensuring robust integration, security, and performance of AI systems.

🎯 Requirements

• Manage deployment of AI/ML models (e.g. classification, recommendation, NLP) • Ensure model integration with cloud infrastructure and enterprise applications (ERP, CRM, custom APIs) • Collaborate with MLOps and Data Engineering teams to maintain robust, automated pipelines • Monitor production model performance, feedback loops, and retraining processes • Facilitate documentation, user handover, and post-launch reviews • 5+ years in technical PM roles, with proven deployment experience • Working knowledge of CI/CD tools, REST APIs, Docker/Kubernetes, cloud (Azure/GCP/AWS) • PMP or SAFe Agile certification strongly preferred • Ability to manage technical complexity and cross-functional delivery in agile teams • Familiarity with monitoring tools

🏖️ Benefits

• Flexible Work Arrangements: Offer adaptable schedules to maintain work-life balance. • We work Remotely: Allow you to perform from any location. • Contract Flexibility: Meet individual preferences with multiple contract models, including employment contract and B2B agreements. • Attractive Rewards System: Recognize commitment and effort with generous rewards structure. • Sport Card Benefit: Encourage fitness and wellness with access to multiple sports facilities. • Private medical care: Prioritize employee health with private world-class medical care. • Life Insurance: Ensure financial security and preparedness for the future with a robust life insurance plan. • Employee Referral Program: Recognize talent acquisition contributions with a rewarding referral program.