Machine Learning Engineer[C2C/W2 ROLE]
Role details
Job location
Tech stack
Job description
- Model Development: Design, build, train, and fine-tune machine learning and deep learning models for real-world use cases
- Production Deployment: Deploy, monitor, and maintain ML models in production environments
- Data Pipeline Development: Build and optimize scalable data pipelines for ingestion, transformation, and processing
- Performance Optimization: Evaluate models using metrics like accuracy, recall, and AUC; optimize for performance and scalability
- Collaboration: Work closely with cross-functional teams including data engineers, software engineers, and business stakeholders
Requirements
We are seeking a hands-on Machine Learning Engineer with 5+ years of experience who can design, build, and deploy scalable machine learning solutions. This role requires strong coding expertise and real-world experience delivering models into production environments. The ideal candidate is not a manager but an individual contributor who thrives in a fast-paced, engineering-focused environment., * 5+ years of experience as a Machine Learning Engineer or similar role
- Strong Python programming skills with solid software engineering fundamentals
- Recent and hands-on experience with PySpark (mandatory)
- Experience with machine learning frameworks such as Scikit-learn
- Strong understanding of statistics, probability, and algorithms
- Experience working with SQL, data modeling, and large datasets
- Proven track record of deploying ML models into production environments
- Experience with AWS services
Preferred Qualifications
- Experience with MLOps tools such as Docker for model deployment
- Hands-on experience with local Large Language Models (LLMs)
- Familiarity with distributed computing and big data technologies, * Technical discussion
- Live coding exercise (Video ON + full desktop screen sharing required)
Round 2 (60 mins In-Person Preferred)
- Technical deep dive
- Advanced live coding exercise
Benefits & conditions
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$160.00 per hour Join a dynamic network of Machine Learning Engineers and connect with top AI labs and companies seeking your expertise. This opportunity allows you to apply once and be considered …
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