Artificial Intelligence Engineer

Job Summary

We are looking for a highly skilled AI/ML Engineer with strong Python development expertise to design, build, and optimize intelligent applications. The ideal candidate will have hands-on experience in building machine learning models, integrating AI solutions into enterprise systems, and working with cloud-based environments.

Key Responsibilities

AI/ML Development

Develop, train, optimize, and deploy Machine Learning, Deep Learning, and NLP models.

Build end-to-end AI/ML pipelines, including data ingestion, preprocessing, feature engineering, and model validation.

Implement RAG (Retrieval-Augmented Generation) pipelines and integrate LLMs for intelligent automation and decision-making.

Evaluate model performance and conduct continuous improvements using MLOps best practices.

Python Development

Write clean, scalable, and reusable Python code for AI services, APIs, and automation scripts.

Develop microservices and integrate AI logic using FastAPI / Flask / Django.

Automate workflows, data processing, and model deployment tasks.

Data Engineering & Cloud Integration

Work with structured and unstructured data; build datasets for model training.

Integrate AI/ML capabilities with enterprise systems (CRM, internal tools, cloud apps).

Deploy AI models on cloud platforms (Azure / AWS / GCP).

Required Skills

Core Skills

Python (Advanced)

Machine Learning, Deep Learning, NLP concepts

LLMs, Vector Databases, RAG Pipelines

Data preprocessing, model optimization, feature engineering

REST APIs, Microservices Architecture

Experience with ML frameworks: TensorFlow, PyTorch, Scikit-learn

Experience with FastAPI / Flask / Django

Good to Have

Hands-on with Azure/AWS AI services

Knowledge of MLOps (CI/CD for ML, MLflow, Docker, Kubernetes)

Experience integrating AI in Salesforce CRM or similar enterprise platforms

Familiarity with big data tools (Spark, Databricks)