Artificial Intelligence Engineer
4 days ago
Job Title: AI / Machine Learning Engineer
About the Role
Were seeking a highly motivated AI / Machine Learning Engineer with minimum 4 years of experience to join our team with industrial knowledge of front-end frameworks , Angular, ),backend engineering, cloud deployment and strong understanding of data structures, algorithms, APIs, and distributed systems.
Key Responsibilities
- Design, train, and deploy machine learning models for NLP, computer vision, recommendation systems, and other AI-driven use cases.
- Integrate ML models into production-ready web and mobile applications, ensuring scalability and reliability.
- Build APIs and microservices for model serving, monitoring, and scaling.
- Leverage cloud platforms (AWS, Azure, GCP) for ML workflows, containerization (Docker/Kubernetes), and CI/CD pipelines.
- Implement AI-powered features such as chatbots, personalization engines, predictive analytics, or automation systems.
- Develop and maintain ETL pipelines, data preprocessing workflows, and feature engineering processes.
- Ensure solutions meet security, compliance, and performance standards.
Skills & Qualifications
- Strong programming skills in Python (TensorFlow, PyTorch, Scikit-learn); familiarity with LangChain, Hugging Face, OpenAI API is a plus.
- Experience in model deployment, serving, and optimization (FastAPI, Flask, Django, or ).
- Proficiency with databases (SQL and NoSQL: MySQL, PostgreSQL, MongoDB).
- Hands-on experience with cloud ML services (SageMaker, Vertex AI, Azure ML) and DevOps tools (Docker, Kubernetes, CI/CD).
- Knowledge of MLOps practices: model versioning, monitoring, retraining, experiment tracking.
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