AI/ML Engineer

TechDigital Group; Irving (TX); In loco; USD 140.000 - 230.000; Tempo pieno

Descrizione del lavoro

TechDigital Group is seeking a Senior AI/ML Engineer with extensive Python, ML/DL, and GenAI experience to design and deploy enterprise AI solutions. You will build end-to-end ML systems, manage MLOps pipelines, and develop agentic AI applications using LLMs, embeddings, and tool calls.

You will deploy on AWS/Azure/GCP, ensure monitoring and security, and collaborate with cross-functional teams to translate business problems into AI solutions.

Competenze

• 5+ years of experience in AI/ML, Data Science, ML engineering, or related field.
• Strong hands-on experience across ML, DL, MLOps, GenAI and Agentic AI.

Mansioni

• Design and develop end-to-end ML/DL solutions.
• Productionize ML models and manage ML pipelines.
• Develop GenAI applications using LLMs, embeddings, and RAG.
• Design Agentic AI with AI agents, tool calling, and multi-agent workflows.
• Integrate AI with enterprise APIs, databases and apps.
• Deploy AI solutions on AWS, Azure or GCP.
• Implement monitoring, security, observability and responsible AI practices.
• Collaborate with product, data and business teams to translate problems into AI solutions.
• Mentor junior engineers and contribute to AI architecture.

Conoscenze

Python

SQL

Machine Learning

Deep Learning

GenAI

Prompt Engineering

Embeddings

RAG

AWS

Azure

GCP

REST APIs

FastAPI

Docker

CI/CD

Formazione

Bachelor's degree in a related field

Strumenti

Scikit-learn

XGBoost/LightGBM

PyTorch

TensorFlow

LangGraph

LangChain

OpenSearch

FAISS

Pinecone

MLflow

Docker

CI/CD tooling

FastAPI

REST APIs

Descrizione del lavoro

Senior AI/ML Engineer – AI/ML, GenAI & Agentic AI

Strong Python, LLM and Prompt engineering expertise with Java.

Experience

5+ years of experience in AI/ML, Data Science, Machine Learning Engineering, or a related field.

Role Overview

We are looking for a Senior AI/ML Engineer with strong hands‑on experience across Machine Learning, Deep Learning, MLOps, Generative AI, and Agentic AI.

The candidate will be responsible for designing, developing, deploying, and scaling AI solutions for enterprise use cases.

Key Responsibilities

• Design and develop end-to-end Machine Learning and Deep Learning solutions.
• Build and productionize ML models using appropriate algorithms and frameworks.
• Develop and manage MLOps pipelines covering model training, deployment, monitoring, and lifecycle management.
• Build Generative AI applications using LLMs, prompt engineering, embeddings, RAG, and vector databases.
• Design and implement Agentic AI solutions, including AI agents, tool calling, multi‑agent workflows, and orchestration.
• Integrate AI solutions with enterprise APIs, databases, applications, and knowledge sources.
• Deploy scalable AI solutions on AWS, Azure, or GCP.
• Implement AI application monitoring, evaluation, observability, security, and responsible AI practices.
• Collaborate with product, engineering, data, and business teams to translate business problems into AI solutions.
• Mentor junior engineers and contribute to AI architecture and technology strategy.

Core Technical Skills

• Programming: Python, SQL
• Machine Learning: Scikit-learn, XGBoost/LightGBM
• Deep Learning: PyTorch / TensorFlow
• GenAI: LLMs, Prompt Engineering, Embeddings, RAG
• Agentic AI: LangGraph, LangChain or equivalent frameworks
• Vector Search: OpenSearch, FAISS, Pinecone or equivalent
• MLOps: MLflow, Docker, CI/CD, model deployment & monitoring
• Cloud: AWS / Azure / GCP
• APIs & Engineering: REST APIs, FastAPI, Git, containerization