Senior Software Engineer - Machine Learning

About GeoComply
We’re GeoComply! We're a market-leading, hyper-growth technology provider with teams across five countries and three continents with a global customer base. And we have no plans to slow down.
Achieving 650% growth in annual revenue over the past three years and dubbed a tech “Unicorn,” we’re revolutionizing how people and businesses use the internet to instill confidence in every online interaction. Trusted by leading brands and regulators for the past ten years, our geolocation solutions are installed on over 400 million devices and analyze over 10 billion transactions a year.
At the heart of it all is the people - we are deeply committed to creating and sustaining a world-class experience for our employees and partners, and providing for the needs of our customers.
Are you an expert in the development and deployment of AI-based systems?
Do you want to work in a hyper-growth company and apply your expertise in launching ML/DS systems in life?
If yes, the Senior Machine Learning Engineer is the role for you!
GeoCompy’s Data Science team focuses on improving the Anti-fraud system, turning business requirements into DS/ML solutions, and developing and deploying best-in-class ML/DS solutions.  As the Senior Machine Learning Engineer, you will contribute to GeoComply's success by ensuring continuous development of a full-cycle AI-based Anti-Fraud system for location compliance: continuous training, model evaluation, deployment, real-time feature stores, automated re-training process, and more. The ideal candidate for this role is a person with solid engineering principles, building and serving models in Cloud-based systems, who is self-sufficient, proactive, and able to work in a dynamic environment. We expect the Senior Machine Learning Engineer to have experience working with CI/CD pipelines, Big data tools, running code refactoring and optimization, containerization, deployment, versioning, and monitoring. You enjoy working in collaborative teams and have excellent interpersonal skills. The Senior Machine Learning Engineer should take responsibility and always see a path forward to success. You should have experience working in short, iterative development cycles and have a great passion for working in fast-paced development process environments.

Key Responsibilities

• Develop end-to-end pipelines with a strong understanding of AI lifecycle, cloud platforms, and business problems;
• Automatization of re-training models, maintaining and building model tracking systems;
• Monitor model performance and provide recommendations for model performance improvement;
• Work closely with data engineering and data science team on consulting and defining best coding practices;
• Write technical documentation and reports to communicate processes and results;
• Work with large amounts of structured and unstructured data.

Who You Are

• You have 5+ years of experience in product development in data science team;
• You’re experienced in continuous deployment of predictive models or ML systems in a cloud environment (i.e AWS:SageMaker, ECS, S3, GCP);
• You have strong programming skills in Python and fluency in data manipulation (SQL, Spark, Pandas);
• You have practical experience with main ML frameworks(scikit-learn, XGBoost) and experience with deep learning frameworks(PyTorch,TensorFlow, MXNet, etc.);
• You’re experienced with building CI/CD pipelines orchestration(MLflow or similar tools);
• You’re experienced in distributed storage / distributed computing environments (i.e. Databricks, Spark, PySpark).
• You have worked in real-time data environments, deploying ML systems with low latency requirements
• You are a solutions-focused problem solver who always sees a path forward to success.
• You are an exceptional communicator and can build relationships with anyone you work with.
• You are organized and have fantastic attention to detail, aiming higher and higher each day.
• You always act with integrity and operate with strong moral principles.
• You have the ability to work in a fast-paced environment to support a rapidly growing technology company with multiple moving parts.

Bonus Points

• You have knowledge in Scala.
• You have experience working with an international team.

Why GeoComply?
Joining the GeoComply team means you’ll be part of an award-winning company to work, learn and grow. We are fast-paced, high-impact, and have a can-do team culture.
To be successful in our organization, you need an eager attitude, professionalism, and the confidence to willingly work to prove yourself and your ideas, and earn the trust of the organization.
Here’s why we think you’d love working with us.
We’re working towards something bigWe’ve built a reputation as the global market leader for