Artificial Intelligence Engineer - Data Modeling

We are looking for an experienced AI Engineer to design, develop, and deploy AI and machine learning models that solve real-world problems across multiple domains.

You will collaborate closely with data scientists, software developers, and business stakeholders to turn data into actionable insights and AI-driven applications.

Key Responsibilities :

vision, or recommendation systems.

- Develop proof-of-concept (POC) AI applications to validate feasibility and business value.

- Work with Python and ML libraries like TensorFlow, PyTorch, Scikit-learn, etc.

- Preprocess and analyze large datasets using Pandas, NumPy, and SQL.

- Collaborate with data engineering teams to ensure data quality and availability.

- Deploy models using APIs, Docker, GCP, Vertex AI, or similar platforms.

- Integrate third-party or foundation models (e.g., OpenAI, Google Gemini) into applications.

- Monitor and improve the performance of deployed models in production.

- Stay up to date with the latest AI/ML trends, tools, and frameworks.

- Work in an Agile environment, participating in sprints, code reviews, and daily stand-ups.

Required Skills & Experience :

- Bachelor's degree in Computer Science, AI, Data Science, or a related field.

- 3+ years of hands-on experience in AI/ML model development.

- Strong proficiency in Python.

- Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.

- Good understanding of supervised and unsupervised learning techniques.

- Strong analytical, problem-solving, and debugging skills.

- Experience deploying models via APIs, cloud services, or containers.

Preferred Skills :

- Experience with Google Cloud Platform (GCP) or AWS/Azure.

- Familiarity with Vertex AI, Kubeflow, or MLflow.

- Experience with Generative AI tools like OpenAI, Google Gemini, or Hugging Face

Transformers.

- Working knowledge of MLOps pipelines and CI/CD for ML.

- Basic knowledge of Docker, Kubernetes, and microservices.

- Exposure to Natural Language Processing (NLP) or Computer Vision projects