AI/ML Engineer
Serbia / Bosnia and Herzegovina / North Macedonia / Poland / Romania / Dominican Republic / Brazil / Uruguay / Argentina
Data Science/Machine Learning/AI /
Hybrid /
Hybrid
Symphony is a global design and development software company headquartered in San Francisco with 650+ 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.
We are on the lookout for an Artificial Intelligence/Machine Learning Engineer.
This role would place you in a highly - energised environment with some of the most hardworking, creative individuals in the industry where you would be inspired to share your years of experience along with contributing to our projects with the existing teams in Symphony.
What would be your responsibilities if you join us?
- Model Development: Design, build, and optimize machine learning models and algorithms.
- Data Preparation: Collect, preprocess, and analyze large datasets to ensure high-quality data inputs.
- Algorithm Selection: Research and implement appropriate AI/ML algorithms and tools.
- Model Training and Evaluation: Train models on large-scale datasets, evaluate their performance, and iterate to improve accuracy and efficiency.
- Deployment: Develop and maintain scalable machine learning pipelines and deploy models into production.
- Collaboration: Work closely with cross-functional teams, including data scientists, software engineers, and business stakeholders, to understand requirements and deliver impactful solutions.
- Monitoring and Maintenance: Monitor model performance in production and troubleshoot issues as they arise.
- Documentation: Document the design, development, and deployment processes to ensure knowledge sharing and reproducibility.
- Stay Updated: Keep up-to-date with the latest trends and advancements in AI/ML technologies and integrate them into ongoing projects.
There are some tech requirements that will make you stand out:
- 5+ years of experience in AI/ML engineering or a related role
- Proficiency in programming languages such as Python and R
- Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch)
- Strong understanding of machine learning algorithms and principles
- Experience with data preprocessing and feature engineering
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud, Docker) for deploying AI/ML solutions
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
What value can Symphony bring to you?
- In addition to the numerous benefits we offer, we crafted the Symphony Care program as a cultural credo of our long-term commitment to making well-being, family, career, and finance our top priorities. With this program, we aim to support the personal and professional development of our community members in all the mentioned fields, through a number of dedicated activities and initiatives. For more information on what our Symphony Care Program entails, visit our website - https://care.symphony.is/
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 ta@symphony.is. We’d love to connect!
