Job Description
We are seeking a visionary Senior Machine Learning Engineer to join our elite engineering team at Nebula Analytics. In this pivotal role, you will be at the forefront of developing cutting-edge AI solutions that drive business value and innovation.
Why Join Us?
At Nebula, we foster a culture of continuous learning and technical excellence. You will have the opportunity to work with state-of-the-art frameworks and mentor junior talent in a collaborative environment.
Responsibilities
- Architect and deploy scalable machine learning models into production environments.
- Collaborate with cross-functional teams of data scientists and software engineers to define technical requirements and solutions.
- Optimize existing algorithms and data pipelines to improve efficiency and reduce latency.
- Conduct rigorous testing, validation, and performance tuning of ML systems.
- Stay abreast of the latest research in Deep Learning and Natural Language Processing.
- Mentor junior engineers and contribute to code reviews and technical documentation.
Qualifications
- PhD or Master’s degree in Computer Science, Statistics, Mathematics, or a related field.
- 5+ years of professional experience in Machine Learning, Data Science, or a similar role.
- Strong proficiency in Python and deep learning frameworks (PyTorch or TensorFlow).
- Extensive experience with SQL and big data technologies (Spark, Hadoop).
- Proven track record of deploying ML models to cloud platforms (AWS, GCP, or Azure).
- Excellent problem-solving skills and ability to thrive in fast-paced, agile environments.