Machine Learning Engineer (Remote, Full-Time) [AS207]

3 hours, 13 minutes ago
Full-time
Senior
Software Development
Smart Working

Smart Working

Smart Working is a company that specializes in software development outsourcing and staff augmentation. They offer nearshore software development services, outsourcing solutions, and staff augmentation with a focus on providing highly skilled Indian de...

Internet Software & Services

Description

  • Architect, implement, and maintain production-grade, low-latency ML services for ranking, recommendation, and forecasting use cases.
  • Collaborate with data scientists, product managers, and engineering teams to identify technical approaches to product and infrastructure challenges.
  • Design and support experimentation frameworks to test hypotheses and measure model improvements.
  • Advise on data strategy to ensure high-quality, well-structured datasets for current and future data science initiatives.
  • Deliver machine learning models that meet engineering standards for scalability, resilience, and long-term maintainability.
  • Enhance and evolve an AWS-native MLOps platform to support high availability and low-latency inference.
  • Monitor, maintain, and continuously improve deployed models and model serving in production environments.
  • Contribute positively to team culture by demonstrating curiosity, ownership, and a bias toward learning and improvement.

Requirements

  • 5+ years of total professional experience operating at a senior engineering level.
  • 3+ years of hands-on Machine Learning experience, including taking models from experimentation to production.
  • 3+ years of experience with Python, writing production-quality, maintainable code.
  • 3+ years of experience working with SQL in analytical or data-intensive environments.
  • Strong experience building and operating production ML systems, including model serving and monitoring.
  • Solid understanding of experimentation, model evaluation, and performance trade-offs in real-world systems.
  • Experience working closely with cross-functional teams in a collaborative, product-focused environment.
  • Strong engineering mindset with focus on scalability, reliability, and future-proof solutions.
  • Nice to have: 1+ year of experience with Snowflake or strong experience with modern cloud data warehouses.
  • Nice to have: 1+ year of experience with dbt or hands-on experience building and maintaining analytical data models.
  • Nice to have: Experience contributing to or improving MLOps platforms (CI/CD for ML, monitoring, inference optimisation) and familiarity with AWS-native data/ML tooling.
  • Nice to have: Experience working in high-scale, consumer-facing or e-commerce environments and a proactive, curious mindset aligned with continuous learning and positive collaboration.

Benefits

  • Remote-first role with fixed shifts: 12:00 PM–9:30 PM IST (summer) | 1:00 PM–10:30 PM IST (winter).
  • No weekend work to support work–life balance.
  • Day 1 benefits: company-provided laptop and full medical insurance.
  • Mentorship, community forums, and peer support for professional growth.
  • Long-term career opportunities with a culture that values employee contributions and belonging.

Interested in this position?

Apply directly on the company website

Apply Now

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