Founding AI Engineer – Senior/Staff

Jobtailor; New York (NY); On-site; USD 120,000 - 170,000; Full time

Job summary

Jobtailor in New York is seeking a hands-on Machine Learning Engineer to design, develop, and deploy ML and deep learning models. You will build scalable data pipelines for preprocessing, feature engineering, and model training, and deploy AI models for real-time and batch processing.

You will work closely with founders to align AI strategies with product goals, research state-of-the-art methodologies, and develop RAG pipelines, agent architectures, and LLM-powered systems in a fast-paced

Qualifications

• 3+ years of experience in machine learning, deep learning, or applied AI.
• Strong Python skills.
• Experience with TensorFlow, PyTorch, or JAX.
• Experience with big data tools such as Apache Spark, Kafka, and Hadoop.
• Experience with MLOps platforms.
• Familiarity with AWS, GCP, or Azure.
• Familiarity with Docker and Kubernetes.
• Passion for building AI/ML models from the ground up and deploying them in production.
• Interest in joining early-stage startups.
• Startup experience or interest in early-stage environments is a plus

Responsibilities

• Design, develop, and deploy machine learning and deep learning models
• Build scalable data pipelines for preprocessing, feature engineering, and model training
• Optimize and deploy AI models for real-time and batch processing
• Work closely with founders to align AI strategies with product and business goals
• Research and integrate state-of-the-art AI methodologies
• Develop and optimize RAG pipelines, agent architectures, and LLM-Powered systems

Skills

Machine Learning

Deep Learning

Python

TensorFlow

MLOps

Tools

AWS

GCP

Azure

Docker

Kubernetes

Job description

• Design, develop, and deploy machine learning and deep learning models


• Build scalable data pipelines for preprocessing, feature engineering, and model training


• Optimize and deploy AI models for real-time and batch processing


• Work closely with founders to align AI strategies with product and business goals


• Research and integrate state-of-the-art AI methodologies


• Develop and optimize RAG pipelines, agent architectures, and LLM-Powered systems

Requirements

• 3+ years of experience in machine learning, deep learning, or applied AI


• Strong Python skills


• Experience with TensorFlow, PyTorch, or JAX


• Experience with big data tools such as Apache Spark, Kafka, and Hadoop


• Experience with MLOps platforms


• Familiarity with AWS, GCP, or Azure


• Familiarity with Docker and Kubernetes


• Passion for building AI/ML models from the ground up and deploying them in production


• Interest in joining early-stage startups


• Startup experience or interest in early-stage environments is a plus

Core Competencies

Demonstrates expertise in designing, developing, and deploying machine learning and deep learning models, with strong proficiency in Python and experience in big data tools. Familiar with MLOps platforms and cloud services, capable of optimizing AI models for real-time applications.

Highest-signal resume keywords

• Machine Learning


• Deep Learning


• Python


• TensorFlow


• MLOps

ATS Optimization Keywords

Hard Skills

• Machine Learning


• Deep Learning


• Python


• TensorFlow


• PyTorch


• JAX


• Apache Spark


• Kafka


• Hadoop


• MLOps

Soft Skills

• Collaboration


• Passion for AI/ML

Industry Keywords

• AI Strategies


• Data Pipelines


• Feature Engineering


• real-time Processing


• Batch Processing


• RAG Pipelines


• Agent Architectures


• LLM-Powered Systems


• early-stage Startups

Tools & Technologies

• AWS


• GCP


• Azure


• Docker


• Kubernetes