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Job Details

Skills

Artificial Intelligence
Amazon Web Services
Analytical Skill
Apache Kafka
Apache Spark
Banking
Cloud Computing
Collaboration
Communication
Computer Science
Computer Vision
Conflict Resolution
Continuous Delivery
Continuous Integration
Deep Learning
DevOps
Financial Services
Forecasting
Data Engineering
Generative Artificial Intelligence (AI)
Good Clinical Practice
Data Processing
Data Science
Databricks
Docker
Git
GitHub
Google Cloud
Google Cloud Platform
Health Care
IT Management
Insurance
Keras
Kubernetes
LangChain
Large Language Models (LLMs)
Lifecycle Management
LlamaIndex
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Mentorship
Microservices
Microsoft Azure
Natural Language Processing
Problem Solving
Prompt Engineering
NoSQL
PyTorch
Python
Regulatory Compliance
Retail
SQL
Scalability
TensorFlow
Time Series
Training
Vector Databases
scikit-learn
Database

Artificial Intelligence
Amazon Web Services
Analytical Skill
Apache Kafka
Apache Spark
Banking
Cloud Computing
Collaboration
Communication
Computer Science
Computer Vision
Conflict Resolution
Continuous Delivery
Continuous Integration
Deep Learning
DevOps
Financial Services
Forecasting
Data Engineering
Generative Artificial Intelligence (AI)
Good Clinical Practice
Data Processing
Data Science
Databricks
Docker
Git
GitHub
Google Cloud
Google Cloud Platform
Health Care
IT Management
Insurance
Keras
Kubernetes
LangChain
Large Language Models (LLMs)
Lifecycle Management
LlamaIndex
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Mentorship
Microservices
Microsoft Azure
Natural Language Processing
Problem Solving
Prompt Engineering
NoSQL
PyTorch
Python
Regulatory Compliance
Retail
SQL
Scalability
TensorFlow
Time Series
Training
Vector Databases
scikit-learn
Database

Summary

Job Title: Senior AI/ML Engineer
Location: Texas (Onsite/Hybrid)
Experience: 12+ Years

Job Summary

We are seeking a highly experienced AI/ML Engineer with 12+ years of IT experience and strong expertise in designing, developing, and deploying enterprise-scale Artificial Intelligence and Machine Learning solutions. The ideal candidate will have hands-on experience with Generative AI, Large Language Models (LLMs), MLOps, cloud platforms, and modern data engineering technologies.

Required Skills

12+ years of overall IT experience with at least 6+ years in AI/ML engineering.
Strong programming skills in Python (mandatory).
Expertise in Machine Learning, Deep Learning, NLP, and Computer Vision.
Hands-on experience with Generative AI, Large Language Models (LLMs), RAG (Retrieval-Augmented Generation), AI Agents, and prompt engineering.
Experience with TensorFlow, PyTorch, Scikit-learn, Keras, Hugging Face Transformers, and LangChain/LlamaIndex.
Strong knowledge of Vector Databases such as Pinecone, ChromaDB, FAISS, or Milvus.
Experience with MLOps tools including MLflow, Kubeflow, Docker, Kubernetes, and CI/CD pipelines.
Experience deploying AI/ML solutions on AWS, Azure, or Google Cloud Platform (Google Cloud Platform).
Strong understanding of SQL, NoSQL databases, and data engineering concepts.
Experience working with REST APIs, microservices, and distributed systems.
Familiarity with Git, Azure DevOps, or GitHub Actions.
Excellent analytical, communication, and problem-solving skills.

Preferred Qualifications

Experience with OpenAI, Azure OpenAI, Anthropic Claude, Gemini, or similar LLM platforms.
Knowledge of AI governance, model monitoring, and responsible AI practices.
Experience with Spark, Databricks, or distributed data processing.
Exposure to multi-agent AI frameworks and autonomous AI systems.
Relevant AI/ML or cloud certifications are preferred.

Responsibilities

Design, develop, and deploy scalable AI/ML solutions for enterprise applications.
Build and optimize Machine Learning and Deep Learning models for production environments.
Develop Generative AI applications using LLMs, RAG pipelines, embeddings, and vector databases.
Collaborate with data engineers, software developers, and business stakeholders to deliver AI-driven solutions.
Build robust MLOps pipelines for model training, deployment, monitoring, and lifecycle management.
Optimize model performance, scalability, accuracy, and inference latency.
Implement secure and responsible AI practices, ensuring compliance with enterprise standards.
Integrate AI services with cloud platforms and enterprise applications using APIs and microservices.
Mentor junior engineers and provide technical leadership on AI initiatives.
Stay updated with emerging AI technologies, frameworks, and industry best practices.

Education

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

Nice to Have

Experience in Banking, Healthcare, Retail, Insurance, or Financial Services domains.
Experience with Graph Neural Networks (GNNs), Reinforcement Learning, or Time Series Forecasting.
Knowledge of Apache Spark, Kafka, Airflow, and Databricks.
AI certifications from AWS, Microsoft Azure, Google Cloud, or NVIDIA.

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: 9030489
Posted 21 hours ago

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Atul Shelke

Senior Technical Recruiter @ Raas Infotek LLC

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Senior AI/ML Engineer

Skills

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Job Summary

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