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Job Details

Skills

Microsoft Azure
Kubernetes
LangChain
Large Language Models (LLMs)
LlamaIndex
Good Clinical Practice
Google Cloud
Google Cloud Platform
Jenkins
Docker
Flask
Generative Artificial Intelligence (AI)
Git
GitHub
Data Science
Natural Language Processing
Orchestration
Prompt Engineering
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Mentorship
Database
Databricks
Deep Learning
DevOps
Django
Jersey
Computer Science
Snow Flake Schema
TensorFlow
Training
Vector Databases
PyTorch
Computer Vision
Continuous Delivery
Continuous Integration
Apache Spark
Artificial Intelligence
Cloud Computing
Collaboration
Agile
Algorithms
Regulatory Compliance
SQL
Scalability
Amazon SageMaker
XGBoost
scikit-learn
Amazon Web Services
Apache Kafka
NoSQL
Python
Scrum
Vertex

Microsoft Azure
Kubernetes
LangChain
Large Language Models (LLMs)
LlamaIndex
Good Clinical Practice
Google Cloud
Google Cloud Platform
Jenkins
Docker
Flask
Generative Artificial Intelligence (AI)
Git
GitHub
Data Science
Natural Language Processing
Orchestration
Prompt Engineering
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Mentorship
Database
Databricks
Deep Learning
DevOps
Django
Jersey
Computer Science
Snow Flake Schema
TensorFlow
Training
Vector Databases
PyTorch
Computer Vision
Continuous Delivery
Continuous Integration
Apache Spark
Artificial Intelligence
Cloud Computing
Collaboration
Agile
Algorithms
Regulatory Compliance
SQL
Scalability
Amazon SageMaker
XGBoost
scikit-learn
Amazon Web Services
Apache Kafka
NoSQL
Python
Scrum
Vertex

Summary

Job Title: Senior AI/ML Engineer

Location: New Jersey (NJ)
Experience: 12+ Years

Job Description

We are seeking an experienced Senior AI/ML Engineer with 12+ years of IT experience and strong expertise in designing, developing, and deploying Artificial Intelligence (AI), Machine Learning (ML), and Generative AI solutions. The ideal candidate should have experience building scalable AI applications, deploying ML models in cloud environments, and working with modern LLM frameworks.

Key Responsibilities

Design, develop, and deploy Machine Learning and Deep Learning models for enterprise applications.
Build scalable AI/ML pipelines for data preprocessing, model training, validation, deployment, and monitoring.
Develop Generative AI solutions using Large Language Models (LLMs) such as GPT, Llama, Claude, Gemini, or Mistral.
Implement Retrieval-Augmented Generation (RAG) architectures using vector databases.
Fine-tune foundation models using techniques such as LoRA, PEFT, and prompt engineering.
Develop AI-powered chatbots, virtual assistants, document intelligence, and recommendation systems.
Collaborate with Data Engineers, Data Scientists, Software Engineers, and business stakeholders to deliver AI solutions.
Deploy AI/ML workloads on AWS, Azure, or Google Cloud Platform using Docker and Kubernetes.
Build REST APIs using FastAPI or Flask to serve ML models.
Implement MLOps pipelines using MLflow, Kubeflow, SageMaker, Vertex AI, or Azure ML.
Optimize model performance, scalability, and inference latency.
Ensure AI governance, responsible AI practices, model monitoring, and security compliance.
Mentor junior engineers and participate in architecture and design discussions.

Required Skills

12+ years of IT experience with 6+ years in AI/ML Engineering.
Strong programming experience in Python.
Expertise in Machine Learning algorithms and model development.
Hands-on experience with TensorFlow, PyTorch, Scikit-learn, XGBoost, and Hugging Face Transformers.
Experience with Generative AI, LLMs, Prompt Engineering, RAG, and Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate, Milvus).
Knowledge of LangChain, LangGraph, LlamaIndex, CrewAI, or similar AI orchestration frameworks.
Experience with FastAPI, Flask, or Django.
Strong SQL and NoSQL database experience.
Hands-on experience with Docker, Kubernetes, and CI/CD pipelines.
Experience with cloud platforms (AWS, Azure, or Google Cloud Platform).
Familiarity with MLOps, MLflow, Kubeflow, SageMaker, Vertex AI, or Azure ML.
Experience with Git, Jenkins, GitHub Actions, or Azure DevOps.

Preferred Qualifications

Experience with multimodal AI models and AI agents.
Knowledge of NLP, Computer Vision, Speech AI, or Recommendation Systems.
Experience using AWS Bedrock, Azure OpenAI, Google Vertex AI, or OpenAI APIs.
Familiarity with Kafka, Spark, Databricks, and Snowflake.
Experience with Reinforcement Learning or Graph Neural Networks is a plus.
AI/ML certifications from AWS, Azure, Google Cloud, or Databricks are preferred.
Experience working in Agile/Scrum environments.

Education

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

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: 9032111
Posted 18 hours ago

Fitment

Dice Job Match Score™

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Rahul Chourasia

Recruiter @ Raas Infotek LLC

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Senior AI/ML Engineer

Skills

Summary

Job Title: Senior AI/ML Engineer

Job Description

Key Responsibilities

Required Skills

Preferred Qualifications

Education

Dice Job Match Score™

Rahul Chourasia

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Senior AI/ML Engineer

Job Details

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Summary

Job Title: Senior AI/ML Engineer

Job Description

Key Responsibilities

Required Skills

Preferred Qualifications

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