Machine Learning Engineer
7 days ago
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About the Role:
We are seeking an exceptional Machine Learning Engineer to join a top-tier product company. This role is ideal for professionals passionate about building scalable, high-performance machine learning systems that drive real-world impact. You will work alongside world-class engineers and researchers in a highly collaborative, fast-paced environment.
Key Responsibilities:
- Design, develop, and deploy machine learning models for large-scale production systems.
- Optimize ML pipelines, improving performance, scalability, and fault tolerance.
- Work closely with data engineers and software developers to integrate models into production.
- Experiment with state-of-the-art ML techniques, including deep learning, NLP, and reinforcement learning.
- Enhance data processing workflows, leveraging distributed computing frameworks.
- Monitor, troubleshoot, and continuously improve model performance.
- Contribute to research and development in AI-driven products and services.
Required Qualifications:
- 5+ years of experience in Machine Learning, AI, or Data Science roles.
- Strong programming skills in Python, Scala, or Java.
- Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
- Proficiency in building and optimizing distributed computing solutions using Spark, Ray, or Flink.
- Hands-on experience with cloud platforms (AWS, GCP, or Azure).
- Solid understanding of software engineering principles, including version control, testing, and CI/CD.
- Strong problem-solving skills and the ability to work on ambiguous challenges.
Nice-to-Have:
- Experience with MLOps tools like Kubeflow, MLflow, or SageMaker.
- Knowledge of real-time ML applications and model deployment strategies.
- Background in NLP, Computer Vision, or Recommendation Systems.
- Prior experience in high-growth startups or Silicon Valley companies.
Why Join Us?
- Work on cutting-edge AI and ML projects with top-tier talent.
- Competitive salary and equity in a high-growth company.
- Fully remote and flexible work environment.
- Opportunity to shape AI-driven solutions for global impact.
If you're a passionate Machine Learning Engineer ready to take on complex challenges, we'd love to hear from you Apply now and be part of a groundbreaking team.
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