Remote Machine Learning Engineer

Description:

• Tiger Analytics is a global AI and analytics consulting firm focused on solving problems that impact millions globally.
• The company has a culture centered around expertise and respect, promoting a team-first mindset.
• The position is for a highly skilled MLE/MLOps Engineer with a strong programming background and solid experience in software engineering practices.
• The role involves building and maintaining robust machine learning infrastructure and ensuring seamless integration between ML models and production systems.
• Responsibilities include designing, implementing, and maintaining scalable and reliable MLOps pipelines for model training, deployment, and monitoring.
• The engineer will collaborate with data scientists and software engineers to productionize ML models.
• The role requires developing and maintaining CI/CD workflows for ML systems and model lifecycle management.
• The engineer will work with real-time data using Apache Spark Streaming to support high-throughput data processing pipelines.
• Ensuring high availability and performance of ML services in production is a key responsibility.
• The position involves managing and automating infrastructure using tools such as Docker, Kubernetes, and Terraform.
• Monitoring and improving system performance, model drift, and data quality issues is essential.
• Implementing best practices in software engineering, including code reviews, testing, and documentation, is required.

Requirements:

• A Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field is required.
• The candidate must have 7+ years of experience in software engineering or ML engineering with a strong programming foundation in Python, Java, or Scala.
• Proven experience with MLOps tools and frameworks for model deployment and lifecycle management is necessary.
• Hands-on experience with Apache Spark Streaming and real-time data processing is required.
• A solid understanding of cloud platforms, preferably Azure, is essential.
• Experience with version control (Git), containerization (Docker), and orchestration (Kubernetes) is required.
• Familiarity with CI/CD tools like Jenkins, GitHub Actions, or Azure DevOps is necessary.

Benefits:

• This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment.
• The role comes with a high degree of individual responsibility, allowing for personal and professional growth.
• Tiger Analytics is Great Place to Work-Certified™, indicating a positive work environment.
• Employees will be at the heart of an AI revolution, working with teams that push the boundaries of what is possible.