THE DAY-TO-DAY
- Collaborate with engineers and data scientists to solve challenging business problems using machine learning.
- Assist in designing, developing, testing, and deploying scalable AI/ML services for real-time, high-throughput production workloads.
- Learn and apply MLOps principles to build robust model lifecycle pipelines.
- Experiment with Generative AI techniques and contribute to production-grade systems.
- Write clean, production-ready, and scalable code in a collaborative environment.
- Participate in code reviews and team discussions to enhance the performance and quality of ML solutions.
DESIRED SKILLS
- Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field.
- Strong programming skills in one or more languages, such as Python or Go.
- Familiarity with machine learning frameworks like TensorFlow or PyTorch.
- Passion for learning and implementing MLOps best practices.
- Strong problem-solving skills and a collaborative mindset.
- Experience with distributed computing frameworks (e.g., Spark, Ray, or Dask).
- Exposure to cloud platforms like AWS, GCP, or Azure.
- Knowledge of the Ad Tech industry or digital advertising systems.
- Understanding of data privacy, security, and compliance in machine learning.
BENEFITS
- Hands on experience with our engineering team
- Exposure to an agile work environment with ability to participate in team meetings and daily stand ups
- Networking events
- Fully stocked kitchen
- Casual Office Atmosphere
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