Role Overview

We are looking for a skilled AI Engineer to design, develop, and deploy scalable AI/ML solutions. The ideal candidate should have hands-on experience in building machine learning models, working with large datasets, and integrating AI solutions into production systems.

Key Responsibilities

• Design, develop, and deploy machine learning and deep learning models.

• Build and optimize NLP, computer vision, or recommendation system solutions.

• Work with large datasets to preprocess, clean, and transform data for modeling.

• Collaborate with product and engineering teams to integrate AI models into applications.

• Develop and maintain APIs/services for AI model deployment.

• Monitor model performance and continuously improve accuracy and efficiency.

• Stay updated with the latest advancements in AI/ML and implement best practices.

Required Skills & Qualifications

• Bachelor’s/Master’s degree in Computer Science, Data Science, AI, or related field.

• 2–6 years of hands-on experience in AI/ML development.

• Strong programming skills in Python.

• Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.

• Knowledge of NLP, Deep Learning, or Computer Vision techniques.

• Experience with data handling using Pandas, NumPy, and SQL.

• Familiarity with REST APIs and microservices architecture.

• Understanding of model deployment (Docker, Kubernetes is a plus).

Good to Have

• Experience with Generative AI / LLMs (GPT, LangChain, etc.)

• Exposure to cloud platforms (AWS, GCP, Azure)

• Experience with MLOps tools and pipelines

• Knowledge of vector databases and embeddings