Machine Learning Engineer
Description For Machine Learning Engineer
We are seeking a Senior Machine Learning Engineer to join our dynamic team at Qode. This role focuses on developing state-of-the-art recommendation systems for delivering personalized user experiences at scale. The ideal candidate will lead the development, deployment, and optimization of machine learning models that directly impact millions of users.
The position requires expertise in advanced ranking algorithms, ML pipeline management, and scalable system architecture. You'll be responsible for driving key metrics through better recommendations while working with cutting-edge technologies in machine learning and AI. The role offers a unique opportunity to solve complex challenges in user engagement and personalization.
Our ideal candidate brings 3+ years of ML experience, strong technical expertise in Python and ML frameworks, and a proven track record of delivering impactful projects at scale. We offer a collaborative environment, competitive benefits, and the chance to work on technology that impacts millions of users daily.
This is an excellent opportunity for a skilled ML engineer who wants to make a significant impact in the AI space while working with large-scale recommendation systems. Join us in redefining how users discover and engage with personalized content!
Responsibilities For Machine Learning Engineer
- Design and build recommendation systems with advanced ranking algorithms
- Optimize user engagement metrics through better recommendations
- Lead complete ML pipeline including data preprocessing, feature engineering, model development, training, evaluation, and deployment
- Build and maintain scalable, production-ready ML systems
- Continuously experiment with new models and architectures
- Work closely with product, engineering, and analytics teams
- Explore and implement latest advancements in machine learning
Requirements For Machine Learning Engineer
- BE/M.Tech/PhD in Computer Science, Machine Learning, Data Science, or related fields
- 3+ years of hands-on experience in machine learning or recommendation systems
- Strong understanding of machine learning algorithms and deep learning principles
- Proficiency in NLP techniques
- Experience with Python, ML frameworks (PyTorch/TensorFlow)
- Expertise in handling large-scale datasets and feature engineering
- Experience with cloud platforms (AWS, GCP) and containerization technologies
- Proven ability to design experiments and evaluate models
Benefits For Machine Learning Engineer
- Competitive compensation and benefits
- Collaborative and learning-driven environment
- Opportunity to work on cutting-edge ML product
- Room for growth
Jobs Related To Qode Machine Learning Engineer
