AI/ML Engineer + Python Developer

About the job

Job Summary We are seeking an experienced AI/ML Engineer with strong Python development skills to design, build, and deploy intelligent, scalable solutions across enterprise platforms. The ideal candidate will have hands-on experience in building machine learning models, developing AI-powered applications, and integrating ML solutions in cloud and microservice-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, model training, and validation. • Implement RAG (Retrieval-Augmented Generation) pipelines and integrate LLMs for automation and intelligent decision-making. • Perform continuous model evaluation, monitoring, and optimization using MLOps best practices. • Research and implement new AI techniques for enhanced model performance and scalability. Python Development • Write clean, efficient, and reusable Python code for AI services, backend APIs, and automation scripts. • Develop microservices and integrate AI/ML logic using FastAPI / Flask / Django. • Build batch and real-time automation workflows to support model deployment and orchestration. • Ensure strong exception handling, reliability, and performance optimization across Python services. Data Engineering & Cloud Integration • Work with structured and unstructured datasets to create training-ready datasets. • Integrate AI/ML solutions with enterprise systems such as CRMs, internal tools, and cloud applications. • Deploy and manage AI models in Azure / AWS / GCP environments. • Implement secure, scalable data pipelines to support ML workflows. Required Skills Core Skills • Advanced Python development experience. • Hands-on experience in: • Machine Learning, Deep Learning, NLP • LLMs, Embeddings, Vector Databases • RAG Pipelines • Strong skills in data preprocessing, feature engineering, and model optimization. • Experience building and consuming REST APIs and microservice architectures. • Proficiency with ML frameworks: • TensorFlow, PyTorch, Scikit-learn • Experience with FastAPI / Flask / Django. Good to Have • Experience with Azure/AWS/GCP AI services. • Knowledge of MLOps (CI/CD for ML, MLflow, Docker, Kubernetes). • Experience integrating AI/ML in Salesforce CRM or other enterprise systems. • Familiarity with big data platforms such as Spark, Databricks. • Exposure to feature stores, model registries, or monitoring frameworks.

Requirements

• Python development
• Machine Learning
• Deep Learning
• NLP
• ML frameworks
• Data Engineering
• Cloud Integration

Preferred Technologies

• Python development
• Machine Learning
• Deep Learning
• NLP
• ML frameworks
• Data Engineering
• Cloud Integration