We are looking for a talented Machine Learning Engineer to join our growing Data team. As a Machine Learning Engineer, you will work closely with Product and Engineering to improve our current solutions to further automate processes around subscription management. As we continue our expansion into new markets, there is more data to process and new opportunities to act on when it comes to using Machine Learning for business success. You will develop, test, and deploy machine learning models that help us better understand and streamline our business as well as further improve the end-user experience. You will be building and maintaining scalable machine learning pipelines, developing and testing models, and collaborating with colleagues to understand requirements and deliver on them. If you have a passion for solving complex problems using Machine Learning and are excited about working in a fast-paced environment with a strong focus on impact, we want to hear from you today!

Responsibilities:

• Build and maintain scalable machine learning pipelines using tools such as GCP Vertex AI, OpenAI and similar systems

• Develop and test machine learning models using best practices and experimental design

• Collaborate with engineers and product managers to understand requirements and deliver on them

• Participate in code reviews and contribute to software design discussions

• Stay up-to-date with the latest machine-learning techniques and trends

• Document your work and communicate your results to stakeholders

Requirements:

• Bachelor's or Master's degree in Statistics, Mathematics, Computer Science or a similar field

• You are ambitious and hard-working, yet humble and collaborative

• 2+ years of experience as a Machine Learning Engineer or related role

• Knowledge of, and hands-on experience with machine learning libraries such as TensorFlow, PyTorch, or Keras

• Proficient in programming Python, additional experience in Java or Scala is beneficial

• Proficiency in at least one notebook tool, such as Jupyter Notebook, Apache Zeppelin, Databricks, or RStudio

• Experience with databases and data modelling, including SQL and NoSQL databases, for example, PostgreSQL and MongoDB

• Knowledge of data processing frameworks such as Apache Spark, and Apache Flink is beneficial

• Familiarity with Google BigQuery ML to execute machine learning models directly using SQL queries

• Experience building and maintaining scalable machine learning pipelines

• Familiarity with software development practices such as version control, testing, and code reviews

• Experience collaborating with data scientists, engineers, and product managers to understand requirements and deliver on them

• Strong problem-solving skills and ability to work independently

• Strong communication skills and ability to document work and communicate results to stakeholders

Benefits:

• Competitive salary and benefits package

• Opportunity to work with cutting-edge machine learning technologies

• Collaborative and inclusive work culture

• Career growth opportunities in a fast-growing company

• Flexible working hours and remote work options

• Wellness and fitness benefits

Learn about Minna

Minna Technologies is a fintech company established in Gothenburg, Sweden in 2016. We have customers across six European markets, and our US expansion started in 2022. Our mission is to create a genius infrastructure that empowers everyone. We are partnering with top-tier banks and forward-leaning subscription businesses as well as backed by some of the biggest financial companies in the world. Everything we do is driven by our passion for creating a problem-free subscription economy. Today, we are the category leaders in building subscription management solutions for retail banks and we have 20 million users worldwide by connecting banks & merchants through our powerful platform.

Send your CV now to apply for the Applied Machine Learning Engineer role. Hiring in India.