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Technical Product Manager – AI IRC248523
| Job: | IRC248523 |
| Location: | Argentina |
| Designation: | Senior Software Engineer |
| Experience: | 5-10 years |
| Function: | Engineering |
| Skills: | AI, Cloud(Azure/AWS/GCP), Machine Learning, Python, SQL |
| Work Model: | Remote |
Description:
Our client is the brand name used by some of the mobile communications subsidiaries of different countries such as Germany, Poland and United States.
Requirements:
– Bachelor’s degree in computer science, Engineering, Data Science, or related field. Master’s degree preferred.
– 5+ years of product management experience in a technical field, with at least 3 years focusing specifically on AI/ML-driven products or solutions.
– Proven experience leading cross-functional teams, including engineering, data science, and design, to drive product development.
– Strong understanding of AI/ML principles, including supervised and unsupervised learning, NLP, computer vision, and model evaluation metrics.
Job Responsibilities:
Technical Skills
– Proficiency in AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, Scikit-Learn) and an understanding of model lifecycle and deployment.
– Knowledge of data analysis and visualization tools (e.g., Python, SQL, Tableau) to support data-driven decision-making.
– Familiarity with cloud services (AWS, Google Cloud, Azure) and deployment of AI models in cloud environments.
– Experience with API integration, software architecture, and managing technical dependencies.
– Ability to translate complex technical requirements into actionable product features.
Product Management Skills
– Strong problem-solving skills with the ability to identify, prioritize, and resolve challenges at various stages of the product lifecycle.
– Excellent project management abilities with experience using Agile, Scrum, or Kanban methodologies.
– User-centered design thinking and understanding of UX/UI principles to drive customer-focused product enhancements.
– Solid experience in A/B testing, experimentation frameworks, and metrics tracking to assess product impact and user adoption.
– Ability to define, track, and analyze KPIs and OKRs to measure product success and identify areas for improvement.
Communication and Leadership Skills
– Outstanding communication skills with the ability to convey technical concepts to non-technical stakeholders and collaborate effectively across teams.
– Experience mentoring junior product managers and providing feedback to enhance team performance and growth.
– Proven stakeholder management abilities, including gathering feedback, aligning product vision, and setting clear expectations.
– Ability to drive strategic vision and product roadmap, balancing customer needs with business objectives.
Additional Qualifications
– Familiarity with regulatory standards and ethical considerations for AI and machine learning, such as data privacy and algorithmic fairness.
– Experience in Telecom, digital marketing, or customer analytics is a plus.
– Passion for emerging AI trends and willingness to stay updated on the latest developments in the field.
We Offer
Exciting Projects: Come take your place at the forefront of digital transformation! With clients across all industries and sectors, we offer an opportunity to work on market-defining products using the latest technologies.
Collaborative Environment:Expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities!
Work-Life Balance:GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules.We offer you the best quality of work life so that you exceed the expectations of our clients, while achieving your professional and personal ambitions.
Professional Development:Our dedicated Learning & Development team regularly organizes English classes, professional certifications, and technical and soft skill trainings. We also offer the chance to travel internationally
Excellent Benefits:We provide our employees with competitive salaries, family medical insurance, extended paternity leave, annual performance bonuses, and referral bonuses.