Drillo.AI
Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Machine Learning Engineer in McLean, VA or New York City, with a contract length of unspecified duration. Pay rate is also unspecified. Key skills include 5+ years in operationalizing ML pipelines, Kubernetes, and Big Data technologies.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 27, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
McLean, VA
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🧠 - Skills detailed
#Public Cloud #Python #AWS (Amazon Web Services) #Linux #Shell Scripting #Azure #Scripting #Snowflake #NoSQL #Big Data #Scala #Kubernetes #Unix #ML (Machine Learning) #SQL (Structured Query Language) #Java #GCP (Google Cloud Platform) #Spark (Apache Spark) #Redshift #Cloud #Kafka (Apache Kafka) #MongoDB #Automation #Hadoop
Role description
Title: Senior Machine Learning Engineer
Location: McLean, VA or New York City (Day 1 Onsite – No Remote)
Eligibility: Only U.S. Citizens , Green Card or EAD
We are seeking a Machine Learning Engineer to support a mission-critical recommender platform driving significant incremental business value. This role is ideal for engineers with deep expertise in operationalizing ML pipelines and scaling distributed systems.
Basic Qualifications
• Bachelor’s Degree
• 3+ years of application development experience (non-internship)
• 1+ year of experience with Big Data technologies
• 5+ years of experience operationalizing model training pipelines
• 5+ years of experience with Kubernetes and CI/CD (automation & maintenance focus)
Preferred Skills
• 5+ years of experience with Python, SQL, Scala, or Java
• 2+ years working with public cloud (AWS, Azure, or GCP)
• 3+ years with distributed data/computing tools (Hadoop, Spark, Hive, Kafka, EMR, etc.)
• Experience with real-time data & streaming applications
• NoSQL (MongoDB, Cassandra)
• Data warehousing (Redshift or Snowflake)
• Strong UNIX/Linux and shell scripting experience
Title: Senior Machine Learning Engineer
Location: McLean, VA or New York City (Day 1 Onsite – No Remote)
Eligibility: Only U.S. Citizens , Green Card or EAD
We are seeking a Machine Learning Engineer to support a mission-critical recommender platform driving significant incremental business value. This role is ideal for engineers with deep expertise in operationalizing ML pipelines and scaling distributed systems.
Basic Qualifications
• Bachelor’s Degree
• 3+ years of application development experience (non-internship)
• 1+ year of experience with Big Data technologies
• 5+ years of experience operationalizing model training pipelines
• 5+ years of experience with Kubernetes and CI/CD (automation & maintenance focus)
Preferred Skills
• 5+ years of experience with Python, SQL, Scala, or Java
• 2+ years working with public cloud (AWS, Azure, or GCP)
• 3+ years with distributed data/computing tools (Hadoop, Spark, Hive, Kafka, EMR, etc.)
• Experience with real-time data & streaming applications
• NoSQL (MongoDB, Cassandra)
• Data warehousing (Redshift or Snowflake)
• Strong UNIX/Linux and shell scripting experience
