Machine Learning Engineer / AI Engineer
Job Description
As an AI Engineer, you will design, build, and deploy algorithms and features to enhance digital products. You'll collaborate with engineering and product teams to deliver scalable, data-driven solutions in a hands-on technical role.
Key Responsibilities:
- Design and improve AI features using React, Node.js, and Express
- Integrate OpenAI and other LLM APIs to improve conversation quality
- Perform data cleaning, feature engineering, and model evaluation
- Fine-tune and train models for domain-specific needs
- Develop middleware and pipelines to manage context, user history, and optimize prompts
- Translate user requirements into AI-driven features
- Implement robust testing, evaluation, and monitoring for AI models in production
- Stay current with developments in LLMs and AI tools
Skills & Experience:
- Bachelor's or Master's in Computer Science, Data Science, or related field
- 3+ years as a Machine Learning or AI Engineer
- Strong with Node.js, Express, and React
- Hands-on experience with OpenAI or similar APIs
- Experience with recommendation engines, personalization, or user behavior modeling
- Understanding of prompt engineering, model fine-tuning, and embedding-based retrieval (RAG)
- Familiar with Python for data preparation or model training
- Knowledge of tokenization, vector databases, and conversational flow design
- Experience with cloud platforms (GCP, AWS, or Azure)
- Strong problem-solving skills and ability to work in a fast-paced environment
Preferred:
- Experience in health, nutrition, or wellness
- Understanding of data privacy, security, and AI ethics
- Experience working with remote, cross-functional teams
More Info
Key Skills
Recommendation engines
Prompt engineering
Model fine-tuning
Embedding-based retrieval
Vector databases
User behavior modeling
Conversational flow design
About Company
Skills:
snowflake , Sql, Terraform, Docker, Iam, Databricks, FastAPI, Azure, Python, AWS, experiment tracking, model training, PydanticAI, MLflow, code reviews, Azure AI Foundry, LangGraph, OpenAI Agents SDK, Security, Braintrust, MCP tool integration, AWS SageMaker, CI/CD
Skills:
data preparation , tokenization , Express, Node.js, Personalization, React, Gcp, Azure, Python, AWS, Apis, user behavior modeling, conversational flow design, model fine-tuning, recommendation engines, vector databases, prompt engineering, embedding-based retrieval, model training, cloud platforms, OpenAI
Skills:
Machine Learning, Automated Testing, Docker, Python, Deep Learning, Git, MLops, Linux, Kubernetes, Computer Vision, Data Ingestion, IMUs, Multimodal Models, Domain Randomization, TensorRT, Model Optimization, sensor fusion, Synthetic Data, ONNX, Edge Compute Hardware, Imitation Learning, SLAM, lidar, reinforcement learning, Cameras, CI/CD
Skills:
Apache Spark, Sql, Tensorflow, Numpy, Git, Pytorch, Pandas, Docker, Opencv, Keras, Python, Kubernetes, LangChain, CI CD Pipelines, Hugging Face Transformers, Scikit-learn, Google Cloud Platform Vertex AI, MLflow, AWS AI ML Services, Microsoft Azure AI Services, LlamaIndex
Skills:
retrieval-augmented generation (RAG), large language models (LLMs), MLops, Python, LangChain, CI CD pipelines, prompt engineering