What you need to know about the role
This job will lead the design, development, and implementation of advanced machine learning models and algorithms to solve complex problems. You will work closely with business owners, data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.
Your day to day
Essential Responsibilities:
- Design, Develop and optimize machine learning models for various applications.
- Preprocess and analyze large datasets to extract meaningful insights.
- Deploy ML solutions into production environments using appropriate tools and frameworks.
- Collaborate with cross-functional teams to integrate ML models into products and services.
- Monitor and evaluate the performance of deployed models.
- Collaborate with various stakeholders to drive the right adoption and understand changing business needs
People Management Roles:
- Oversee the team’s capabilities, timely deliveries and execution
- Guide and mentor the team through projects and to facilitate their career growth
Minimum Qualifications:
- Minimum of 8 years of relevant work experience and a bachelor’s degree or equivalent experience.
- Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
- Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.
- Several years of experience in designing, implementing, and deploying machine learning models and scaling ML Systems
Preferred Qualification:
Preferred Qualifications:
MSc or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.) or a bachelor's degree
Experience in setting up & nurturing AI / ML teams.
Our Benefits:
Any general requests for consideration of your skills, please