AI/ML Engineer

We are seeking a talented AI/ML Engineer to design, develop, deploy, and optimize machine learning and AI solutions that solve real-world business problems. The ideal candidate will work with data scientists, software engineers, and product teams to build scalable ML models, production-grade AI systems, and intelligent applications using modern machine learning frameworks and cloud technologies.

Key Responsibilities

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

• Build end-to-end ML pipelines for data preprocessing, training, evaluation, and deployment.

• Develop AI-powered applications using NLP, computer vision, recommendation systems, or predictive analytics.

• Optimize model performance, scalability, and inference latency.

• Implement MLOps practices for model versioning, monitoring, and automated deployment.

• Collaborate with cross-functional teams to translate business requirements into AI solutions.

• Work with structured and unstructured data from multiple sources.

• Deploy models to cloud platforms and production environments.

• Monitor model drift, accuracy, and system performance.

• Stay current with advancements in AI, machine learning, and generative AI technologies.

Required Skills

Programming

• Python

• SQL

• Git

Machine Learning

• Supervised & Unsupervised Learning

• Classification & Regression

• Clustering

• Feature Engineering

• Model Evaluation & Validation

Deep Learning

• TensorFlow

• PyTorch

• Keras

• Neural Networks

• CNNs

• RNNs/LSTMs

• Transformers

Data Processing

• Pandas

• NumPy

• Scikit-learn

• Data Cleaning & Preprocessing

• ETL Pipelines

Cloud & MLOps

• AWS / Azure / Google Cloud

• Docker

• Kubernetes

• MLflow

• Airflow

• CI/CD Pipelines

• Model Deployment & Monitoring

AI Technologies

• Natural Language Processing (NLP)

• Large Language Models (LLMs)

• Retrieval-Augmented Generation (RAG)

• Prompt Engineering

• Vector Databases (Pinecone, FAISS, Chroma, etc.)

• OpenAI / Anthropic / Hugging Face APIs

Preferred Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, Statistics, or a related field.

• 8+ years of experience in AI/ML engineering or machine learning development.

• Experience deploying ML models into production environments.

• Strong understanding of algorithms, data structures, and software engineering principles.

• Experience working in Agile/Scrum environments.