Role Summary: We are seeking a talented AI Engineer with a strong focus on Generative AI and MLOps. In this role, you will build cutting-edge machine learning solutions for global clients, helping to solve real-world problems through innovative technology.
What We’re Looking For
We are seeking a candidate with a strong foundation in the following areas. This is not a checklist of hard requirements, but a guide to the ideal candidate profile.
- 3-5 years of professional experience
- 1-2 years of hands-on experience in AI/ML
- Proficiency in Python
- Experience with PyTorch or TensorFlow
- Familiarity with frameworks like Hugging Face, LangChain, etc.
- Hands-on experience with LLMs and Generative AI
- Knowledge of Cloud MLOps on platforms like AWS, GCP, or Azure
- Experience with containerization using Docker & Kubernetes
What You’ll Do: A Day in the Life
As an AI Engineer, you will be responsible for a wide range of tasks that span the full machine learning lifecycle.
- Design & Develop Models: Create robust AI/ML models and algorithms with a focus on modern deep learning architectures.
- Build MLOps Pipelines: Build and maintain scalable pipelines for model training, versioning, and deployment using tools like MLflow.
- Leverage Generative AI: Work on exciting projects involving Generative AI, computer vision, and advanced NLP techniques like RAG.
- Collaborate & Integrate: Partner with product and engineering teams to integrate AI-driven APIs and microservices into our products.
- Monitor & Improve: Maintain model performance via CI/CD, monitoring for model and data drift to ensure reliability.
- Stay Ahead of the Curve: Continuously research and implement the latest AI advancements and industry best practices.
Our Tech Stack
Our team uses a modern tech stack focused on building and deploying AI at scale. The following represents the key areas of expertise we are looking for:
- Python
- Deep Learning (PyTorch/TF)
- LLM Frameworks (Hugging Face, LangChain)
- MLOps (MLflow)
- Cloud Platforms (AWS, GCP, Azure) and specific services like AWS SageMaker or GCP Vertex AI
- Containerization (Docker, Kubernetes)
- Version Control (Git)
- API Development (FastAPI, Flask)
- Data Handling and Databases (SQL, Spark)
What We Offer
- Flexible Remote Work: Enjoy the freedom and flexibility of a remote-first work environment.
- Dynamic Team: Collaborate with an experienced, passionate, and supportive team.
- Career Growth: Access opportunities for continuous learning and professional development.
Ready to make an impact with AI?
