You will work with:
- Explore and try out exciting upcoming libraries, models, technologies to analyze and recommend the best one for the team
- Design and implement scalable ML and DL systems, products, and solutions.
- Collaborate with engineering and DevOps teams to build and deliver systems that can be deployed both in the cloud and on premise, e.g., using Azure, Docker, and Kubernetes.
- Build deep learning-based products on CPUs and GPUs, leveraging latest deep learning and machine learning libraries.
- Develop and evaluate data analytics models, algorithms, systems and solutions using a variety of advanced data science techniques
- Produces complex predictive models and manages the delivery of solutions which can be used to drive measurable client and commercial benefit
- Develops a solid understanding of data structures and business in order to extract and integrate required data sources for analysis
Key requirements
- Excellent programming skills: Experience in languages such as Python
- 1-2 years of relevant experience
- You have experience with both machine learning and building software
- You have experience with databases
- 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
- Good understanding in Deep Learning
- Familiarity with Azure cloud ecosystem and OpenAI models
- Experience working with large data sets
- Excellent problem-solving skills
- Strong communication and teamwork
- Familiarity with Financial Services
- 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.
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