Mindlance
MLOPS Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an MLOPS Engineer in Reston, VA, for 6+ months at a pay rate of "X". Key skills include Python, R, or Java, with experience in TensorFlow or PyTorch, cloud deployment, and familiarity with MLOps tools. Relevant certifications preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
600
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🗓️ - Date
April 1, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Plano, TX
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🧠 - Skills detailed
#NLP (Natural Language Processing) #Data Processing #Big Data #AWS (Amazon Web Services) #AI (Artificial Intelligence) #Deployment #MLflow #PyTorch #Spark (Apache Spark) #Hadoop #Statistics #Cloud #ML (Machine Learning) #Python #TensorFlow #R #Model Deployment #Databricks #Java #Mathematics #Deep Learning #Programming #Datasets #Azure
Role description
Title: MLOPS Engineer/Developer
Location- Reston, VA(3-4 Days Onsite in a week)
Duration-6+ Months
Develop and optimize machine learning and deep learning models using frameworks like TensorFlow or PyTorch.
Strong skills in programming languages such as Python, R, or Java, essential for developing AI applications.
Build and maintain AI pipelines, from data processing to model deployment.
Analyze complex datasets to uncover insights and improve model performance.
Ability to analyze complex problems and develop effective AI-driven solutions.
Deploy AI solutions on cloud platforms such as AWS.
Collaborate with technical and business teams to identify AI opportunities and deliver impactful solutions.
Deep understanding of deploying AI applications within a CICD environment, specifically AWS.
Preferred qualifications:
Experience with MLOps tools (e.g., MLflow, Kubeflow).
Knowledge of big data technologies (Spark, Hadoop, Databricks).
Background in NLP, computer vision, or other advanced AI techniques.
Relevant certifications (Coursera, edX, AWS, Azure, Google Cloud).
Required qualifications:
Strong programming skills in Python, R, or Java.
Hands-on experience with machine learning algorithms and frameworks.
Familiarity with major cloud platforms for AI deployment.
Strong analytical and problem‑solving skills.
Solid foundation in mathematics and statistics.
EEO: Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.
Title: MLOPS Engineer/Developer
Location- Reston, VA(3-4 Days Onsite in a week)
Duration-6+ Months
Develop and optimize machine learning and deep learning models using frameworks like TensorFlow or PyTorch.
Strong skills in programming languages such as Python, R, or Java, essential for developing AI applications.
Build and maintain AI pipelines, from data processing to model deployment.
Analyze complex datasets to uncover insights and improve model performance.
Ability to analyze complex problems and develop effective AI-driven solutions.
Deploy AI solutions on cloud platforms such as AWS.
Collaborate with technical and business teams to identify AI opportunities and deliver impactful solutions.
Deep understanding of deploying AI applications within a CICD environment, specifically AWS.
Preferred qualifications:
Experience with MLOps tools (e.g., MLflow, Kubeflow).
Knowledge of big data technologies (Spark, Hadoop, Databricks).
Background in NLP, computer vision, or other advanced AI techniques.
Relevant certifications (Coursera, edX, AWS, Azure, Google Cloud).
Required qualifications:
Strong programming skills in Python, R, or Java.
Hands-on experience with machine learning algorithms and frameworks.
Familiarity with major cloud platforms for AI deployment.
Strong analytical and problem‑solving skills.
Solid foundation in mathematics and statistics.
EEO: Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.
