Welocalize is looking for a Staff AI/ML Research & Development Engineer to play a pivotal role in leading and architecting complex machine learning projects. You will act as a bridge between technical teams and senior management, driving strategic decisions to effectively integrate AI solutions into our business processes.
What You'll Do
- Strategically lead the development of complex machine learning projects, ensuring alignment with business objectives.
- Architect and design advanced machine learning models and systems, considering scalability, efficiency, and integration.
- Mentor junior machine learning engineers, providing guidance and support.
- Coordinate with cross-functional teams, including local project management and globally based business development teams.
- Drive innovation by researching and implementing cutting-edge techniques and technologies.
- Manage relationships with key stakeholders, including senior management, to communicate project progress.
- Ensure all AI models and practices adhere to ethical guidelines, promoting responsible development.
- Evaluate the outcomes of machine learning projects, assessing their impact on business goals.
- Present technical insights and project updates to both technical and non-technical audiences.
- Foster a culture of knowledge sharing and continuous learning within the team.
What We're Looking For
- BSc in Computer Science, Mathematics or a similar field.
- 8+ years of experience in AI/ML Engineering or similar roles.
- Proficiency in programming languages like Python, R, or Java.
- Deep understanding of a wide range of machine learning techniques, including both classical algorithms and modern deep learning.
- Advanced knowledge in statistics and the ability to apply these concepts to model development and data analysis.
- Skills in managing and processing large datasets, including expertise in big data technologies.
- Proficiency in using deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Experience with cloud platforms like AWS, Azure, or Google Cloud, and knowledge of MLOps practices.
- Skills in specialized areas like NLP and computer vision, depending on project requirements.
- Advanced problem-solving skills and the ability to lead project teams.
- Excellent communication skills for articulating complex technical concepts.
- Strong project management skills and a deep understanding of ethical AI principles.
- A commitment to continuous learning.
Nice to Have
- Master’s degree.
Technical Stack
- Languages: Python, R, Java
- Big Data: Hadoop, Spark, Kafka
- Frameworks: TensorFlow, PyTorch, Keras
- Cloud Platforms: AWS, Azure, Google Cloud
