ML/DS Engineer
Bosnia & Herzegovina, North Macedonia, Serbia, Medellin, Colombia
Data Science/Machine Learning/AI /
Hybrid
Symphony is a global design and development software company headquartered in San Francisco with 700+ technologists located across engineering offices in Southeast Europe and Latin America, along with business development offices in the US and Western Europe, and a Remote hub engaging employees from Latin America to Africa and Asia. In the last 16 years, we have launched over 200 products for the world’s leading startups, enterprises, and Fortune 500 companies.
Our team has a proven track record in helping clients increase revenue, reduce time-to-market, improve end-user experiences, and achieve scalability. We have domain expertise spanning financial services, banking, retail, technology, healthcare, as well as the VC and PE ecosystem, among others.
This is an excellent opportunity for all ML/DS Engineers to join us in expanding a global powerhouse and partnering with worldwide industry leaders to solve some of the most complex digital challenges.
What would be your responsibilities if you join us?
- Drive the development of complex machine learning models, statistical models and algorithms, ensuring the highest quality of code and user experience.
- Develop and maintain comprehensive testing strategies to ensure the reliability and stability of models.
- Ensure the performance, quality, and scalability of models, implementing best practices for optimization.
- Work closely with cross-functional teams, including UX/UI Designers, Data Scientists, and Product Managers, to ensure seamless integration and delivery of ML solutions.
- Stay abreast of the latest industry trends and emerging technologies, proactively integrating new solutions and methodologies to enhance our development processes.
- Provide technical guidance and coaching to ML Engineers, conducting code reviews and fostering a collaborative development environment.
- Collaborate with product and design teams to translate high-level requirements into detailed ML architectures and designs.
There are some tech requirements that will make you stand out:
- Bachelor's degree in Computer Science, Data Science, Statistics, or a related field, or equivalent practical experience.
- 6+ years of professional experience in machine learning or data science.
- Proficiency in Python or R.
- Strong understanding of statistics and applied statistical methods.
- (No)SQL knowledge, including ability to work with relational and non-relational databases.
- Data preprocessing and feature engineering expertise.
- Exploratory Data Analysis (EDA) skills to uncover patterns, trends, and insights.
- Data visualization using modern libraries and tools.
- Version control systems (e.g., Git).
- ML algorithms & frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
- Advanced ML Techniques (time series, natural language processing, computer vision.
- MLOps practices.
- Big Data technologies (like Hadoop or Spark).
You will easily fit into Symphony culture if you:
- are proactive and enthusiastic about your own continuous learning and improvement
- have good analytical and problem-solving aptitude
- have the ability to analyze and understand business context and logic behind your job responsibilities
- care for the quality of your work and client satisfaction
- enjoy working in pleasant and co-operative atmosphere
- excited about working in international teams and using well written and spoken English on a daily basis
Ready to Join Us?
We’re excited to hear from you! If this opportunity sparks your interest, don’t hesitate—let’s see where this journey can take us.
We’ll review applications as they come in and promptly reach out to candidates chosen to move forward in the process.
Curious to Learn More?
If you have any questions our Talent Acquisition team is here for you. Feel free to drop us an email at [email protected]. We’d love to connect!
