Senior AI Engineer / Machine Learning Engineer
Job summary
As an AI Engineer, you will design, build, train, fine-tune, deploy, and maintain AI models for production. You will work closely with our engineering team to develop scalable AI solutions that improve user experience and solve real business problems.
Job descriptions & requirements
Responsibilities:
- Design and develop Machine Learning and AI models.
- Build and deploy AI-powered features for mobile and web applications.
- Fine-tune and integrate Large Language Models (LLMs).
- Develop AI solutions for recommendation systems, chatbots, document search (RAG), computer vision, automation, and predictive analytics.
- Build APIs for AI services and integrate them into our products.
- Optimize model accuracy, speed, and scalability.
- Work with datasets, feature engineering, and model evaluation.
- Research and implement the latest AI technologies and best practices.
- Collaborate with product managers, backend, and frontend engineers.
Requirements:
- Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field (preferred).
- 3+ years of relevant experience building AI/ML solutions.
- Strong portfolio or GitHub showcasing AI or machine learning projects.
- Strong Python programming skills.
- Experience with PyTorch or TensorFlow.
- Solid understanding of Machine Learning and Deep Learning.
- Experience with LLMs, Hugging Face, LangChain, or similar frameworks.
- Knowledge of FastAPI or Flask for AI deployment.
- Experience with vector databases such as Pinecone, FAISS, ChromaDB, or Weaviate.
- Familiarity with cloud platforms (AWS, GCP, or Azure) is an advantage.
- Experience with Docker and Git.
AI Tools & Technologies:
Experience with some of the following is preferred:
- PyTorch
- TensorFlow
- Hugging Face
- LangChain
- OpenAI API
- Google Gemini
- Claude
- Ollama
- FastAPI
- OpenCV
- MLflow
- Docker
- GitHub
- Jupyter Notebook
- Weights & Biases (W&B)
What We Offer
- Competitive salary.
- Performance-based bonuses.
- Opportunity to build cutting-edge AI products.
- Career growth and continuous learning.
- Collaborative and innovative work environment.
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