You will work with:
1. Explore and try out exciting upcoming libraries, models, technologies to analyze and recommend the best one for the team
2. Design and implement scalable ML and DL systems, products, and solutions.
3. Collaborate with engineering and DevOps teams to build and deliver systems that can be deployed both in the cloud and on premise,, using Azure, Docker, and Kubernetes.
4. Build deep learning-based products on CPUs and GPUs, leveraging latest deep learning and machine learning libraries.
5. Develop and evaluate data analytics models, algorithms, systems and solutions using a variety of advanced data science techniques
6. Produces complex predictive models and manages the delivery of solutions which can be used to drive measurable client and commercial benefit
7. Develops a solid understanding of data structures and business in order to extract and integrate required data sources for analysis
Key requirements
8. Excellent programming skills: Experience in languages such as Python
9. 1-2 years of relevant experience
10. You have experience with both machine learning and building software
11. You have experience with databases
12. Machine learning domain knowledge—bias-variance tradeoff, exploration/exploitation—and understanding of various model families, including neural net, decision trees, Bayesian models, instance-based learning, association learning, and deep learning algorithms
13. Good understanding in Deep Learning
14. Familiarity with Azure cloud ecosystem and OpenAI models
15. Experience working with large data sets
16. Excellent problem-solving skills
17. Strong communication and teamwork
18. Familiarity with Financial Services
19. Proficiency in English
Our commitment to diversity & inclusion
We are genuinely passionate about inclusion and we support individuals of all groups; we do not discriminate on the basis of race, religion, gender, sexual orientation, or disability status.