Employer Industry: Content Technology and Information Services
Why consider this job opportunity:
- Competitive salary and hybrid work model allowing flexibility (2-3 days in the office)
- Opportunity for career development and growth through continuous learning programs
- Supportive workplace policies for work-life balance, including work-from-anywhere options for up to 8 weeks per year
- Comprehensive benefits package, including flexible vacation, mental health days, and tuition reimbursement
- Award-winning culture recognized for inclusion, belonging, and community impact
- Chance to contribute to meaningful work that supports justice, truth, and transparency globally
What to Expect (Job Responsibilities):
- Lead and drive the technical vision for AI-driven features in products, ensuring alignment with the latest advancements in AI/ML
- Oversee the development and deployment of AI models, including the optimization of scalable data pipelines
- Provide technical leadership and mentorship to the engineering team, ensuring best practices are followed
- Design and implement advanced AI systems, focusing on natural language understanding and information retrieval
- Collaborate with cross-functional teams to translate technical requirements into effective product solutions
What is Required (Qualifications):
- 8+ years of software engineering experience, with at least 5 years focused on AI/ML development
- Strong proficiency in Python and AI/ML frameworks, with a deep understanding of natural language processing
- Proven experience in designing and implementing scalable data pipelines and RESTful APIs
- Demonstrated ability to lead technical teams and conduct code reviews
- Bachelor's degree in Computer Science, Engineering, Machine Learning, or related field, or equivalent professional experience
How to Stand Out (Preferred Qualifications):
- Advanced degree (Master's/PhD) in AI, Machine Learning, Computer Science, or related field
- Experience with cloud platforms such as AWS or Azure
- Familiarity with AI/ML frameworks like TensorFlow, PyTorch, or Hugging Face Transformers
- Knowledge of MLOps tools and practices for model deployment and monitoring
- Background in tax, trade, or legal domain applications
#ContentTechnology #AI #MachineLearning #CareerGrowth #FlexibleWork
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