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Senior Machine Learning Engineer
1 month ago
Fynite Corp is a dynamic pricing SaaS solution provider focused on helping retailers optimize their pricing strategies through advanced AI and machine learning models. Our platform offers an all-in-one solution, including digital tags, competitor price tracking, 10+ pricing strategies, and seamless POS integrations. We are looking for a Senior Machine Learning Engineer to join our team and drive the development of scalable and impactful AI/ML solutions.
Key Responsibilities- Develop and deploy ML models to solve real-world problems, leveraging real-time data streams and complex data correlations to enhance our dynamic pricing solutions.
- Design and build scalable data pipelines, ensuring efficient data transformations and processing to support machine learning workflows.
- Apply ML feature design methodologies to optimize model performance and accuracy, focusing on practical applications for the retail sector.
- Write and optimize complex SQL queries across multiple tables in Amazon Redshift and MySQL for data analysis and model input preparation.
- Collaborate cross-functionally with data scientists, software engineers, and product teams to deliver impactful AI/ML solutions that align with business goals.
- Maintain and enhance existing ML models to ensure continuous improvement and relevance to evolving business needs.
- Implement and monitor automated workflows for model deployment and data pipeline execution.
Education:
- Bachelor's degree in Mathematics, Data Science, Computer Science, or a related field (Master's preferred).
Experience:
- 3 to 5 years of professional experience in machine learning engineering, data science, or related roles.
- Proven track record of deploying machine learning models to production environments.
- Hands-on experience with SQL (preferably Amazon Redshift and MySQL) for data analysis and preparation.
- Experience in building scalable data pipelines and working with real-time data streams.
- Programming Languages: Python, SQL, and familiarity with Java or Scala is a plus.
- Machine Learning Frameworks: TensorFlow, PyTorch, Scikit-Learn, or similar.
- Data Engineering: Apache Kafka, Apache Spark, AWS Glue, and EventBridge.
- Cloud Platforms: AWS (S3, Redshift, API Gateway).
- Version Control: Git/GitHub.
- CI/CD: Experience with automated deployment pipelines.
- Strong analytical and problem-solving skills with a focus on delivering results.
- Excellent communication skills, with the ability to explain complex ML concepts to non-technical stakeholders.
- Self-motivated and capable of working independently and in cross-functional team
