AI/ML Engineer

SoftStandard Solutions · United States New
LinkedIn

Posted

Jul 13, 2026 (2d ago)

Seniority

Not Specified

Work Model

On-site

Type

Contract

Category

Data & ML

Salary

Not specified

Skills

Agile Artificial Intelligence AWS Azure CI/CD Computer Vision Data Science Databricks Deep Learning Docker Generative AI Git Google Cloud Kubeflow Kubernetes LangChain LLM Machine Learning MLflow MLOps NLP OpenAI Pandas Pinecone Python PyTorch RAG Scikit-learn Scrum Spark SQL TensorFlow

Description

AI/ML Engineer Job Title: AI/ML Engineer Job Type: Contract (W2) Location: Onsite Experience: 8+ Years Required Skill s8+ years of experience in AI/ML development .Strong programming experience in Python .Hands-on experience with TensorFlow, PyTorch, Scikit-learn, and Pandas .Experience with Large Language Models (LLMs), Prompt Engineering, RAG, LangChain, and OpenAI/Azure OpenAI .Knowledge of NLP, Deep Learning, Computer Vision, or Predictive Analytics .Experience with vector databases such as Pinecone, Chroma, or FAISS .Strong SQL skills and experience working with structured and unstructured data .Experience with AWS, Azure, or Google Cloud Platform .Hands-on experience with Docker, Kubernetes, Git, and CI/CD pipelines .Excellent analytical, communication, and problem-solving skills .Responsibilitie sDesign, develop, and deploy machine learning and deep learning models .Build and optimize Generative AI and LLM-based applications .Develop Retrieval-Augmented Generation (RAG) pipelines .Integrate AI models with enterprise applications and APIs .Perform data preprocessing, feature engineering, and model evaluation .Monitor, troubleshoot, and improve model performance in production .Collaborate with data engineers, software developers, and business stakeholders .Ensure AI solutions follow security, scalability, and performance best practices .Stay updated with the latest AI/ML technologies and industry trends .Preferred Qualification sBachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field .Experience with MLOps tools such as MLflow, Kubeflow, or SageMaker .Knowledge of Spark, Databricks, or distributed data processing .Experience working in Agile/Scrum environments .