Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer in Phoenix, AZ, with a contract length of "unknown." The pay rate is "unknown." Key skills include Python, SQL, Docker, Kubernetes, MLOps, and experience with large-scale ML frameworks.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
April 29, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
On-site
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Phoenix, AZ
🧠 - Skills detailed
#Flask #Programming #Cloud #GCP (Google Cloud Platform) #Data Science #ML (Machine Learning) #Langchain #AI (Artificial Intelligence) #Docker #Kubernetes #Public Cloud #Scala #PyTorch #TensorFlow #Storage #Neural Networks #Data Pipeline #API (Application Programming Interface) #Spark (Apache Spark) #Python #SQL (Structured Query Language) #Data Ingestion
Role description
Role: Sr AI/ML Engineer
Location: Phoenix, AZ Day 1 onsite
Tech Stack - Python, SQL, Docker & Kubernetes, Fast API, Flask, MLOps, Machine Learning, LLM’s, LangChain or similar orchestrator, Vector DB or similar, GCP, Google AutoML, Vertex AI & Build tools
Job Duties:
• Design and implement scalable MLOps supportive data pipelines for data ingestion, processing, and storage.
• Experience deploying models with MLOps tools such as Vertex Pipelines, Kubeflow, or similar platforms.
• Experience implementing and supporting end-to-end Machine Learning workflows and patterns.
• Expert level programming skills in Python and experience with Data Science and ML packages and frameworks.
• Proficiency with containerization technologies (Docker, Kubernetes) and CI/CD practices.
• Experience working with large-scale machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, or related frameworks.
• Experience in the most recent advancements in Gen AI, including Gemini, OpenAI, Claud and exposure to open-source Large Language Models (LLMs).
• Experience building AI/ML products using technologies such as LLMs, neural networks and others.
• Experience with RAG and Supervised Tuning techniques.
• Strong distributed systems skills and knowledge.
• Development experience of at least one public cloud provider, Preferably GCP.
• Excellent analytical, written, and verbal communication skills.
Regards,
Sravani Talari
Senior Technical Recruiter
Email: sravani.t@precisiontechcorp.com
Role: Sr AI/ML Engineer
Location: Phoenix, AZ Day 1 onsite
Tech Stack - Python, SQL, Docker & Kubernetes, Fast API, Flask, MLOps, Machine Learning, LLM’s, LangChain or similar orchestrator, Vector DB or similar, GCP, Google AutoML, Vertex AI & Build tools
Job Duties:
• Design and implement scalable MLOps supportive data pipelines for data ingestion, processing, and storage.
• Experience deploying models with MLOps tools such as Vertex Pipelines, Kubeflow, or similar platforms.
• Experience implementing and supporting end-to-end Machine Learning workflows and patterns.
• Expert level programming skills in Python and experience with Data Science and ML packages and frameworks.
• Proficiency with containerization technologies (Docker, Kubernetes) and CI/CD practices.
• Experience working with large-scale machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, or related frameworks.
• Experience in the most recent advancements in Gen AI, including Gemini, OpenAI, Claud and exposure to open-source Large Language Models (LLMs).
• Experience building AI/ML products using technologies such as LLMs, neural networks and others.
• Experience with RAG and Supervised Tuning techniques.
• Strong distributed systems skills and knowledge.
• Development experience of at least one public cloud provider, Preferably GCP.
• Excellent analytical, written, and verbal communication skills.
Regards,
Sravani Talari
Senior Technical Recruiter
Email: sravani.t@precisiontechcorp.com
