ML Engineer / Machine Learning Engineer - W2 with FullTime Conversion
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior ML Engineer with 7+ years of experience, offering a remote contract of over 6 months. Key skills include Python, GCP, Vertex AI, BigQuery, and NoSQL databases. A Bachelor’s degree in a related field is required.
🌎 - Country
United States
💱 - Currency
Unknown
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💰 - Day rate
-
🗓️ - Date discovered
September 14, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Remote
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Remote
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🧠 - Skills detailed
#NLP (Natural Language Processing) #Spark (Apache Spark) #Docker #GCP (Google Cloud Platform) #Data Engineering #Cloud #Databases #Apache Spark #RDBMS (Relational Database Management System) #Dataflow #MongoDB #Azure #GIT #Model Evaluation #Python #Scala #AWS (Amazon Web Services) #Apache Kafka #Kafka (Apache Kafka) #Computer Science #Kubernetes #Programming #AI (Artificial Intelligence) #Data Science #BigQuery #ML (Machine Learning) #Version Control #Big Data #NoSQL
Role description
Role: Senior ML Engineer - W2 with Fulltime Conversion
Location: RemoteExperience: 7+ Years
Position Summary:
We are seeking a Machine Learning Engineer to design and implement robust AI/ML applications that drive innovation and business insights. You will collaborate closely with data scientists, software engineers, and product managers to integrate ML capabilities into our products and services, ensuring high performance and scalability. Strong Python programming skills is essential, must have prior experience working on GCP and Vertex AI, as well as working with BigQuery and NoSQL databases like MongoDB.
Required Qualifications
Proven experience as a Machine Learning Engineer (5+ years)
Proficiency in Python programming language
Experience with RDBMS & NoSQL databases (e.g., MongoDB, BigQuery)
Experience with data preprocessing, feature engineering, and model evaluation
Experience with cloud platforms (Google Cloud, Azure)
Understanding of machine learning concepts and workflows
Preferred Qualifications:
Familiarity with Vertex AI & Azure OpenAI
Experience working with LLMs and RAGs in a production environment
Knowledge of natural language processing (NLP)
Experience working with Kubernetes (GKE), Docker, and or DataFlow
Familiarity with big data technologies (Apache Spark, Ray, Dask)
Experience with streaming data technologies (e.g., Apache Kafka, PubSub)
Familiarity with version control systems (e.g., Git)
Strong problem-solving skills and attention to detail
Ability to work collaboratively in a team environment
Education:
Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field
Relevant certifications (e.g., AWS Certified Data Analytics, Google Professional Data Engineer) are a plus
Interview Process
Coding InterviewTechnical InterviewFinal Round
Job Types: Full-time, Contract
Work Location: Remote
Role: Senior ML Engineer - W2 with Fulltime Conversion
Location: RemoteExperience: 7+ Years
Position Summary:
We are seeking a Machine Learning Engineer to design and implement robust AI/ML applications that drive innovation and business insights. You will collaborate closely with data scientists, software engineers, and product managers to integrate ML capabilities into our products and services, ensuring high performance and scalability. Strong Python programming skills is essential, must have prior experience working on GCP and Vertex AI, as well as working with BigQuery and NoSQL databases like MongoDB.
Required Qualifications
Proven experience as a Machine Learning Engineer (5+ years)
Proficiency in Python programming language
Experience with RDBMS & NoSQL databases (e.g., MongoDB, BigQuery)
Experience with data preprocessing, feature engineering, and model evaluation
Experience with cloud platforms (Google Cloud, Azure)
Understanding of machine learning concepts and workflows
Preferred Qualifications:
Familiarity with Vertex AI & Azure OpenAI
Experience working with LLMs and RAGs in a production environment
Knowledge of natural language processing (NLP)
Experience working with Kubernetes (GKE), Docker, and or DataFlow
Familiarity with big data technologies (Apache Spark, Ray, Dask)
Experience with streaming data technologies (e.g., Apache Kafka, PubSub)
Familiarity with version control systems (e.g., Git)
Strong problem-solving skills and attention to detail
Ability to work collaboratively in a team environment
Education:
Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field
Relevant certifications (e.g., AWS Certified Data Analytics, Google Professional Data Engineer) are a plus
Interview Process
Coding InterviewTechnical InterviewFinal Round
Job Types: Full-time, Contract
Work Location: Remote
