Full Time
9 am - 5 pm
Apophis is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions – underpinned by the world’s largest delivery network – Apophis works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. Apophis drives innovation to improve the way the world works and lives.
This will be a hands on role consisting of solution design and hands on fresh development. You’ll be responsible for creation of new and tuning of existing neural networks using Python.
Position Type: Full-time, Remote-First
- Lead the design, development, and deployment of AI/ML models to address complex business challenges across various domains.
- Drive end-to-end machine learning projects from data acquisition, preprocessing, model training, evaluation, and production deployment.
- Collaborate with cross-functional teams, including product, engineering, and design, to understand requirements and translate them into scalable AI solutions.
- Optimize and enhance existing ML models for performance and efficiency, ensuring low-latency and scalable solutions.
- Stay updated on the latest AI/ML research, tools, and techniques, and evaluate them for potential integration into ongoing and future projects.
- Mentor and guide junior engineers and data scientists on AI/ML best practices, coding standards, and problem-solving techniques.
- Develop and maintain comprehensive documentation, including model specifications, training procedures, and deployment protocols.
- Minimum of 7 years of experience in AI, machine learning, or data science, with a strong track record of deploying models in production environments.
- Advanced degree (Master’s or Ph.D.) in Computer Science, Machine Learning, Statistics, Applied Mathematics, or a related field.
- Proficiency in Python and common ML libraries/frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn).
- Strong background in algorithm development, data structures, and software engineering principles.
- Experience with cloud platforms (AWS, GCP, or Azure) and ML deployment tools like Docker, Kubernetes, or MLflow.
- Solid understanding of deep learning, natural language processing, computer vision, or other specialized AI domains.
- Excellent problem-solving skills with the ability to analyze and derive insights from large and complex datasets.
- Competitive salary with performance-based bonuses.
- Remote-first work culture, with flexible working hours and the option to work from anywhere.
- Generous PTO policy with paid sick leave and holidays.
- Professional development opportunities.
- Opportunity to work in a diverse and inclusive environment with a talented global team.
We are always interested to meet potential team members to join our fast-growing, dynamic team of professionals.
