
Loading…

Loading…

Loading job…
Location
Job type
Workplace
Duration
Posted
Compensation
Location: New York, NY (Hybrid / On-site / Remote within the U.S.) Employment Type: Full-time
About the Role
We are looking for an experienced AI Engineer to design, build, and deploy intelligent systems that solve real-world business problems. You’ll work closely with product, data, and engineering teams to turn machine learning and AI research into scalable production solutions.
This role is ideal for someone who enjoys working end-to-end—from data pipelines and model training to deployment and monitoring in production.
Key Responsibilities
Design, develop, and deploy machine learning and AI models for production use
Build scalable data pipelines for training, inference, and evaluation
Work with structured and unstructured data (text, images, audio, time-series)
Implement and optimize models using modern ML/DL frameworks
Integrate AI services into backend systems and APIs
Monitor model performance, accuracy, and drift in production
Collaborate with product managers and stakeholders to define AI solutions
Stay current with the latest advancements in AI and ML
Required Qualifications
Bachelor’s or Master’s degree in Computer Science, AI, ML, Data Science, or a related field
3+ years of experience building and deploying ML/AI systems
Strong programming skills in Python (required)
Hands-on experience with PyTorch, TensorFlow, or JAX
Solid understanding of machine learning fundamentals and algorithms
Experience with REST APIs, microservices, and backend systems
Familiarity with SQL and NoSQL databases
Experience deploying models using Docker and cloud platforms (AWS, GCP, or Azure)
Preferred Qualifications
Experience with LLMs, NLP, or computer vision
Knowledge of MLOps tools (MLflow, Airflow, Kubeflow, or similar)
Experience with vector databases and retrieval-augmented generation (RAG)
Exposure to real-time or large-scale data systems
Startup or fast-paced environment experience