Job Details

Skills

Apache Hadoop
Agile
Amazon Web Services
Analytical Skill
Apache Cassandra
Apache Kafka
Apache Spark
Artificial Intelligence
Banking
Big Data
Cloud Computing
Collaboration
Communication
Computer Science
Computer Vision
Conflict Resolution
Continuous Delivery
Continuous Integration
Data Engineering
Data Science
Database
Databricks
Deep Learning
DevOps
Docker
Evaluation
Financial Services
Generative Artificial Intelligence (AI)
Good Clinical Practice
Google Cloud
Google Cloud Platform
Health Insurance
IT Management
Information Security Governance
Innovation
Kubernetes
LangChain
Large Language Models (LLMs)
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Mentorship
PostgreSQL
Microservices
Microsoft Azure
MongoDB
Natural Language Processing
NoSQL
Problem Solving
Project Planning
Prompt Engineering
Python
Regulatory Compliance
Research
Retail
SQL
Scala
Scalability
Scrum
Snow Flake Schema
Software Development
Speech Recognition
Training
Use Cases
Vector Databases
Vertex
Java

Apache Hadoop
Agile
Amazon Web Services
Analytical Skill
Apache Cassandra
Apache Kafka
Apache Spark
Artificial Intelligence
Banking
Big Data
Cloud Computing
Collaboration
Communication
Computer Science
Computer Vision
Conflict Resolution
Continuous Delivery
Continuous Integration
Data Engineering
Data Science
Database
Databricks
Deep Learning
DevOps
Docker
Evaluation
Financial Services
Generative Artificial Intelligence (AI)
Good Clinical Practice
Google Cloud
Google Cloud Platform
Health Insurance
IT Management
Information Security Governance
Innovation
Kubernetes
LangChain
Large Language Models (LLMs)
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Mentorship
PostgreSQL
Microservices
Microsoft Azure
MongoDB
Natural Language Processing
NoSQL
Problem Solving
Project Planning
Prompt Engineering
Python
Regulatory Compliance
Research
Retail
SQL
Scala
Scalability
Scrum
Snow Flake Schema
Software Development
Speech Recognition
Training
Use Cases
Vector Databases
Vertex
Java

Summary

AI/ML Engineer

Experience: 12+ Years
Location: Georgia

Position Overview

We are seeking a highly experienced AI/ML Engineer with 12+ years of expertise in Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI technologies. The ideal candidate will be responsible for designing, developing, deploying, and optimizing AI-driven solutions and machine learning models that solve complex business problems and drive innovation across the organization.

The candidate should have strong experience in Python, cloud platforms, MLOps, Large Language Models (LLMs), data engineering, and enterprise AI solution development.

Key Responsibilities

Design, develop, and deploy Machine Learning and Artificial Intelligence solutions for enterprise applications.
Build and optimize predictive models, recommendation systems, NLP solutions, and Generative AI applications.
Develop end-to-end AI/ML pipelines including data ingestion, preprocessing, model training, evaluation, deployment, and monitoring.
Implement Large Language Model (LLM) solutions using Prompt Engineering, RAG (Retrieval-Augmented Generation), and AI agents.
Develop and maintain scalable data pipelines for machine learning workloads.
Build APIs and microservices to integrate AI models with enterprise applications.
Implement MLOps best practices for model versioning, deployment automation, monitoring, and retraining.
Collaborate with Data Scientists, Data Engineers, Product Owners, and business stakeholders to identify AI use cases and deliver solutions.
Optimize model performance, scalability, and inference efficiency.
Ensure compliance with security, governance, and Responsible AI standards.
Conduct research on emerging AI technologies and recommend innovative solutions.
Mentor junior engineers and provide technical leadership to AI/ML teams.
Participate in Agile/Scrum ceremonies and contribute to project planning and delivery.

Required Skills & Qualifications

12+ years of overall IT experience with extensive hands-on experience in AI/ML Engineering.
Strong programming expertise in Python, Java, or Scala.
Hands-on experience with Machine Learning, Deep Learning, Natural Language Processing (NLP), and Generative AI.
Strong experience with ML frameworks such as:
- TensorFlow
- PyTorch
- Keras
- Scikit-learn
- Hugging Face Transformers
Experience with Large Language Models (LLMs), Prompt Engineering, LangChain, LangGraph, and RAG architectures.
Experience with Vector Databases such as Pinecone, ChromaDB, Weaviate, or FAISS.
Strong knowledge of MLOps tools including MLflow, Kubeflow, Airflow, Docker, and Kubernetes.
Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (Google Cloud Platform).
Knowledge of Big Data technologies including Spark, Hadoop, Kafka, and Databricks.
Experience with SQL and NoSQL databases such as PostgreSQL, MongoDB, Cassandra, or Snowflake.
Hands-on experience developing REST APIs and Microservices.
Familiarity with CI/CD pipelines and DevOps practices.
Strong analytical, problem-solving, and communication skills.
Experience working in Agile/Scrum environments.

Preferred Qualifications

Experience with AI Agents, Autonomous Systems, and Multi-Agent Frameworks.
Knowledge of Computer Vision, Speech Recognition, and Recommendation Engines.
Experience with Azure OpenAI, OpenAI APIs, AWS Bedrock, or Google Vertex AI.
Experience with Responsible AI, AI Governance, and Model Explainability frameworks.
AI/ML certifications or Cloud certifications are highly preferred.
Experience in Banking, Healthcare, Insurance, Retail, or Financial Services domains is a plus.

Educational Qualifications

Bachelor''s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field.
Master''s degree preferred.

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.

Dice Id: 10477291
Position Id: 9023097
Posted 2 days ago

AI/ML Engineer (Remote)

Remote

•

13d ago

Job Title: AI/ML Engineer (Remote)Location: RemoteExperience: 5+ YearsSalary: 90,000 1,80,000+ per month (Based on experience and skills)Employment Type: Full-Time About the RoleWe are looking for an experienced AI/ML Engineer to design, develop, and deploy scalable machine learning and artificial intelligence solutions. The ideal candidate should have hands-on experience building ML models, working with large datasets, deploying AI applications, and collaborating with cross-functional teams to

Easy Apply

Full-time

90,000 - 180,000

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AI/ML Engineer

Skills

Summary

AI/ML Engineer

Position Overview

Key Responsibilities

Required Skills & Qualifications

Preferred Qualifications

Educational Qualifications

Dice Job Match Score™

Atul Shelke

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AI/ML Engineer

Job Details

Skills

Summary

AI/ML Engineer

Position Overview

Key Responsibilities

Required Skills & Qualifications

Preferred Qualifications

Educational Qualifications

Dice Job Match Score™

Atul Shelke

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