Machine Learning Engineer | Only W2

Position: Machine Learning Engineer

Location: 100% Remote (EST time zone)

Duration: 12 Month Contract

Only W2

Qualifications:

• 10+ years of IT experience and at least 5+ years working as a Machine Learning Engineer
• Must have strong programming skills in Python
• Experience with both RDBMS and NoSQL databases (e.g., MongoDB, BigQuery)
• Hands-on experience with data preprocessing, feature engineering, and model evaluation
• Experience working with cloud platforms, especially Google Cloud Platform (Google Cloud Platform)
• Experience with Vertex AI, BigQuery, Pub/Sub
• Solid understanding of machine learning concepts, algorithms, and workflows

Nice to Haves :

• Experience using Vertex AI or Azure OpenAI Services
• Familiarity with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) workflows
• Knowledge of Natural Language Processing (NLP) techniques
• Experience working with big data technologies (e.g., Apache Spark, Ray, or Dark)
• Exposure to streaming data platforms such as Apache Kafka or Google Pub/Sub
• Familiarity with Git or other version control systems
• Strong problem-solving skills, attention to detail, and ability to work collaboratively
• Candidates should be comfortable building and deploying models in a cloud environment and integrating ML pipelines with other cloud-native tools.

Education & Certifications:

• Bachelor s degree in Computer Science, Engineering, Information Technology, or a related field
• Relevant certifications are a plus (e.g., Google Professional Data Engineer, AWS Certified Data Analytics)

Summary:

• Strong Python Skills + ML Engineering Experience
• The role is hands-on and requires candidates who have actually built, trained, and deployed ML models not just theoretical or academic experience.
• Python is the primary language, so fluency here is non-negotiable. Look for real-world experience using libraries like scikit-learn, TensorFlow, or PyTorch.