Artificial Intelligence Engineer

Job Opportunity: Artificial Intelligence Engineer

We are seeking a highly skilled Artificial Intelligence Engineer with 6-7 years of experience to join our team in India. This role involves the design, development, and deployment of scalable AI and Machine Learning (ML) solutions. The ideal candidate will possess robust expertise in machine learning, deep learning, and practical AI applications, alongside proven experience in deploying models into production environments. Your responsibilities will include designing and developing AI/ML models using both structured and unstructured data, building and optimizing machine learning algorithms and pipelines, and working with deep learning frameworks for Natural Language Processing (NLP), Computer Vision, or predictive analytics. You will deploy models to production environments utilizing cloud platforms like AWS, Azure, or GCP. Collaboration with data engineers and business teams to understand project requirements will be crucial. Furthermore, you will be involved in model evaluation, tuning, and performance optimization, working with large datasets, and ensuring effective data preprocessing and feature engineering. Staying abreast of the latest AI trends and technologies is essential.

Key Responsibilities:

• Design and develop AI/ML models using structured and unstructured data.
• Build and optimize machine learning algorithms and pipelines.
• Work with deep learning frameworks for NLP, Computer Vision, or predictive analytics.
• Deploy models into production using cloud platforms like AWS, Azure, or GCP.
• Collaborate with data engineers and business teams to understand requirements.
• Perform model evaluation, tuning, and performance optimization.
• Work with large datasets and ensure data preprocessing and feature engineering.
• Stay updated with the latest AI trends and technologies.

Required Skills & Technologies:

• Strong programming skills in Python (mandatory).
• Experience with ML libraries: Scikit-learn, TensorFlow, PyTorch.
• Knowledge of NLP, Computer Vision, or Generative AI.
• Experience with LLMs (Large Language Models) and prompt engineering.
• Familiarity with MLOps tools (MLflow, Kubeflow, Airflow).
• Experience in REST APIs and model deployment.
• Strong understanding of statistics, probability, and data structures.

Cloud & Tools:

• Experience with AWS / Azure / Google Cloud Platform (GCP).
• Hands-on experience with Docker, Kubernetes (good to have).
• Experience with Databricks, Snowflake is a plus.