
Mlops & Generative Ai Engineer
2 days ago
We are seeking an experienced **MLOps & Generative AI Engineer**to design, build, and deploy cutting-edge AI/ML solutions with a strong focus on LLMs, MLOps automation, and cloud-based deployment. You will work on real-world projects such as financial inquiry classification, document summarization, and sentiment analysis for global clients.
**Responsibilities**:
- Build scalable machine learning pipelines with CI/CD, MLFlow, and automated retraining systems.
- Create APIs and web apps using FastAPI/Flask and deploy to AWS or Azure using Docker/Jenkins/GitHub Actions.
- Perform data preprocessing, NLP modeling (e.g. BERT, LSTM), and time series forecasting (SARIMAX).
- Collaborate with stakeholders to turn business challenges into production-ready AI solutions.
**Requirements**:
- Proven experience (5+ years) in ML and AI lifecycle.
- Strong hands-on skills in **Python**, **LangChain, Transformers, TensorFlow, and Scikit-learn.**:
- Familiarity with **AWS Bedrock**, **Azure OpenAI**, and containerization tools.
- Solid knowledge of **MLOps practices**, including CI/CD, monitoring, and retraining.
- Experience working with **NLP**, classification, regression, and deep learning models.
- Working knowledge of **MongoDB**, **MS SQL**, Tableau, and FastAPI.
- Excellent problem-solving and communication skills.
**Key Skills**:
- Python Programming
- Machine Learning & Deep Learning
- MLOps (MLflow, CI/CD, Docker, Jenkins)
- Generative AI (LLMs, LangChain, RAG)
- AWS & Azure (Sagemaker, Bedrock, OpenAI)
- NLP (BERT, LSTM, Transformers)
- FastAPI / Flask
- Data Analysis & Feature EngineeringGitHub, Tableau, MongoDB, SQL
**#MLOps #GenerativeAI #LangChain #OpenAI #RAG #LLM #PythonJobs #MachineLearning #NLP #AzureAI #MLflow #DeepLearning #DataScientist #FastAPI #AITalent
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