AI Expert / Machine Learning Engineer

We are seeking a talented and motivated AI Expert to join our team. The ideal candidate will have deep expertise in Artificial Intelligence (AI) and Machine Learning (ML), as well as hands-on experience integrating AI models and APIs into real-world web applications.

This role is ideal for someone passionate about pushing the boundaries of intelligent automation and wants to see their models have a direct impact on user-facing products.

Responsibilities

Design, build, and deploy AI and ML models to solve real business problems (e.g., recommendation systems, NLP tasks, classification, anomaly detection, etc.).
Integrate third-party AI APIs (e.g., OpenAI, Google Cloud AI, AWS SageMaker, Hugging Face) into existing web platforms.
Work closely with frontend/backend developers to embed AI-driven features into web applications.
Fine-tune pre-trained models or build custom ML solutions as needed.
Analyze large datasets and conduct feature engineering to improve model performance.
Optimize model performance and monitor results in production environments.
Research and evaluate new technologies, tools, and frameworks in the AI/ML space.

Requirements

Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field.
3+ years of experience in AI/ML development.
Strong proficiency in Python and popular ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Hugging Face).
Experience integrating AI APIs (e.g., OpenAI GPT, Google Vision/NLP, Azure Cognitive Services) into web apps.
Solid understanding of RESTful APIs, JSON, and web development stacks.
Familiarity with ML lifecycle tools: data preprocessing, model evaluation, deployment (e.g., Flask, FastAPI, Docker).
Strong problem-solving and analytical skills.
Excellent communication and teamwork abilities.

Preferred Qualifications

Experience with LLMs (Large Language Models), prompt engineering, and generative AI.
Experience deploying models on cloud platforms (AWS, GCP, Azure).
Understanding of MLOps practices and tools (e.g., MLflow, Kubeflow).
Prior experience in a SaaS or startup environment.

What We Offer