Machine Learning Engineer 4

What you'll Do

1. Collaborate with cross-functional teams to determine key interfaces for your projects and build them with agility.
2. Successfully implement complex ML based solutions using Natural Language Processing (NLP), Generative AI, Retrieval Augmented Generation (RAG) and Transformer architectures to optimize Adobe’s products and services.
3. Develop, evaluate, and deploy scalable ML models into production.
4. Monitor and evaluate the performance of ML models, making necessary adjustments to compete at the highest level.
5. Consistently follow industry standard methodologies in software engineering, ensuring code of high quality and flawless performance.
6. Drive innovation through research and experimentation, encouraging an environment where new ideas can thrive.
7. Bring innovative ideas based on the latest technological breakthroughs to build solutions and solve problems.
8. Apply data analysis and mining using frameworks such as Hadoop and Spark to build insights for product roadmap.
9. Build reliable and scalable data processing pipelines using best of the data engineering practices.
10. Do analysis and present key findings, insights and concepts to key influencers and leaders.

What you need to succeed

1. A master's degree or equivalent experience in Machine Learning.
2. 5+ years of industry experience in ML and Data engineering, with a proven record of designing, implementing, and delivering high-quality AI and ML software solutions.
3. Strong knowledge of Python, Python based ML and Data Science frameworks with fluency in at least one machine learning framework such as PyTorch, TensorFlow or and Scikit-learn.
4. Strong programming skills in languages such as Python and Java
5. Knowledge and practice of ML Ops.
6. Experience working with both research and product teams.
7. Excellent problem-solving skills, with a proven track record of delivering innovative solutions.
8. Ability to thrive in a collaborative, inclusive, and diverse workplace, embracing different perspectives and ideas.
9. Strong curiosity about staying ahead of the curve by familiarizing yourself with the latest and the best in the technological landscape and turning them into effective solutions for our customers.