10Pearls is an award-winning end-to-end digital innovation company that helps businesses imagine and build the future. We are proud to announce that 10Pearls was named as winner of the Best Tech Work Culture Timmy Award in Washington DC by Tech in Motion, recognized on the Inc. 5000 Fastest-Growing Companies List, and was ranked the #1 Most Diverse Midsize Company in Greater Washington. We partner with businesses to help them transform, scale, and accelerate by adopting digital and exponential technologies. Our work has ranged from creating highly usable, secure digital experiences, mobile and software products, to helping businesses modernize through cloud adoption and development and the digitalization of their business processes. Our clientele is highly diverse, including Global 1000 enterprises, mid-market businesses, and even high-growth start-ups. But those are just the facts. What makes us unique is that we have true heart and soul. We have a strong focus on a double bottom line and actively support and engage with the communities where we live and work to make the world a better place. In a nutshell, we believe in doing well, while doing good and know how to balance the two.
Creative thinker and problem solver who can roll over sleeves to solve problems on a day-to-day basis.
Demonstrate flexibility and openness in a dynamic highly technical environment.
Designing, developing, and researching Machine Learning systems, models, and schemes.
Performing statistical analysis and using results to improve models.
Training and retraining ML systems and models as needed.
Analyzing the use cases of ML algorithms and ranking them by their success probability.
Understanding when your findings can be applied to business decisions.
Extend existing ML libraries and frameworks.
Identify challenges and technical interdependencies and suggest solutions to address them.
Teach, mentor, grow, and advise other domain experts, individual contributors, and teams in the organization.
Work with key customers in assigned areas to address technical challenges.
Exemplify company values through code, reviews, communications, and processes.
Bachelor’s or master’s degree in Computer Science, Data Science, Engineering or related field.
5+ years of experience as a Machine Learning Engineer
Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
Proficiency with Python and R code writing.
Mid-level Cloud experience AWS/Azure including Azure Machine Learning and AWS Sage Maker
In-depth knowledge of mathematics, statistics, and algorithms.
Excellent analytical and problem-solving abilities.
Excellent written and verbal English communication skills.
Experience of working in an offshore software development environment is a plus.
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