Job Description
We are looking for a visionary Senior Machine Learning Engineer to lead our Artificial Intelligence division. In this pivotal role, you will architect scalable, production-grade machine learning systems that define our product roadmap for the coming decade.
At Apex Digital Systems, we don't just use AI; we build the infrastructure for the future. You will work alongside top-tier data scientists and software architects to transform complex datasets into actionable intelligence.
Responsibilities
- Design and implement end-to-end machine learning pipelines using Python, TensorFlow, and PyTorch.
- Optimize model architectures for high performance, low latency, and massive scalability on distributed cloud environments.
- Collaborate with cross-functional teams to translate business requirements into robust technical solutions.
- Establish MLOps best practices, including CI/CD, automated testing, and model monitoring.
- Conduct rigorous A/B testing and statistical analysis to validate model performance and drive continuous improvement.
- Stay at the forefront of industry trends to integrate cutting-edge research into our production stack.
Qualifications
- Master’s degree or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Minimum of 5+ years of professional experience in software engineering and machine learning.
- Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch, Keras).
- Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Proven track record of deploying models into production environments.
- Experience with data manipulation libraries (Pandas, NumPy) and SQL databases.