AI/ML Engineer

Overview

Remote
On Site
Depends on Experience
Contract - W2

Skills

API
Amazon Redshift
Amazon S3
Amazon SageMaker
Amazon Web Services
Analytical Skill
Artificial Intelligence
Cloud Computing
Collaboration
Communication
Computer Science
Conflict Resolution
Continuous Delivery
Continuous Integration
Data Lake
Data Processing
Data Science
Data Structure
Databricks
Deep Learning
DevOps
Docker
Electronic Health Record (EHR)
Evaluation
Generative Artificial Intelligence (AI)
GitHub
Information Security Governance
Jenkins
Kubernetes
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Management
Microsoft
Microsoft Azure
NumPy
Open Source
Orchestration
Pandas
Problem Solving
Publications
PyTorch
Python
Regulatory Compliance
Research
Scalability
Software Engineering
Step-Functions
TensorFlow
Training
Vector Databases
scikit-learn

Job Details

Position :- AI/ML Engineer

Contract :- W2

Job Summary:

We are seeking an experienced Senior AI/ML Engineer with deep expertise in AWS and Azure AI/ML services. The ideal candidate will design, develop, and operationalize scalable AI/ML models, leveraging cloud-based tools to drive intelligent, data-driven business decisions.

Key Responsibilities:

  • Design and implement machine learning pipelines and AI solutions using AWS SageMaker, Azure Machine Learning, and related services.

  • Collaborate with data engineers and scientists to build robust data ingestion, transformation, and feature engineering pipelines.

  • Develop, train, and deploy machine learning and deep learning models using Python (TensorFlow, PyTorch, Scikit-learn).

  • Operationalize models through MLOps practices including CI/CD, model versioning, and automated retraining.

  • Build and manage data pipelines using AWS Glue, Lambda, S3, Step Functions, or Azure Data Factory, Databricks, and Synapse.

  • Monitor and optimize model performance, scalability, and cost-efficiency in production.

  • Implement security, governance, and compliance best practices for AI workloads in cloud environments.

  • Collaborate with cross-functional teams to identify opportunities for AI-driven solutions.

  • Stay updated on emerging AI technologies and evaluate their potential for integration.

Required Skills & Qualifications:

  • Bachelor s or Master s degree in Computer Science, Data Science, or related field.

  • 6+ years of professional experience in AI/ML engineering, with at least 3+ years on AWS or Azure cloud platforms.

  • Strong programming skills in Python (NumPy, Pandas, TensorFlow, PyTorch, Scikit-learn).

  • Expertise in model training, evaluation, tuning, and deployment on AWS SageMaker or Azure Machine Learning.

  • Proficiency in cloud-native data processing tools like AWS Glue, EMR, Redshift or Azure Data Factory, Synapse, Databricks.

  • Experience with containerization and orchestration using Docker and Kubernetes.

  • Familiarity with MLOps frameworks (MLflow, Kubeflow, Azure ML pipelines, AWS Step Functions).

  • Hands-on experience in CI/CD tools such as GitHub Actions, Jenkins, or Azure DevOps.

  • Strong understanding of data structures, software engineering principles, and distributed systems.

  • Excellent analytical and communication skills with a problem-solving mindset.

Preferred Qualifications:

  • Certifications in AWS Certified Machine Learning Specialty or Microsoft Certified: Azure AI Engineer Associate.

  • Experience with Generative AI or LLM-based models using OpenAI API, Azure OpenAI, or Bedrock.

  • Familiarity with data lake architectures, vector databases, and retrieval-augmented generation (RAG).

  • Knowledge of monitoring and observability tools like CloudWatch, Prometheus, or Azure Monitor.

  • Contributions to open-source AI/ML projects or relevant research publications.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.