Why This Role Stands Out
Advance your career as an AI/ML Engineer by developing cutting-edge enterprise AI solutions on Google Cloud Platform, with opportunities for significant skill development in Generative AI and Vertex AI. This hybrid role is perfect for mid-senior level professionals passionate about building innovative machine learning applications and contributing to a reputable tech company. Apply today to shape the future of AI!
Quick Overview
Job Description
Job: AI/ML Engineer
Location: Houston, TX, San Antonio, TX, Dallas, TX, Austin, TX.
Contact: 12+ Months
Looking for W2 candidates. No C2C
Responsibilities
· Develop, train, and deploy machine learning models for business applications.
· Build NLP and computer vision solutions using modern AI frameworks.
· Implement data pipelines for model training and inference.
· Perform feature engineering, model evaluation, and optimization.
· Collaborate with product, engineering, and analytics teams.
· Document AI solutions and follow MLOps best practices.
Mandatory Skills
· 6+ years of AI/ML development experience.
· Strong Python programming skills.
· Experience with TensorFlow, PyTorch, Scikit-learn, and Pandas.
· Hands-on experience with LLMs, OpenAI APIs, Langchain, and RAG.
· Experience with AWS, Azure, or Google Cloud Platform.
· SQL, Git, Docker, and REST APIs.
Preferred Skills
· MLflow or Kubeflow.
· Apache Spark/PySpark.
· Vector Databases (Pinecone, ChromaDB, FAISS).
· Kubernetes.
· Snowflake or Databricks.
· Agile/Scrum experience and strong communication skills.
Best Regards:
Tina
Phone:
Email:
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