About the job
Role Overview DS and LLM, ML,5 + years We are looking for a highly skilled AI / Machine Learning Engineer with strong expertise in data science, deep learning, and Generative AI technologies. The ideal candidate will have hands-on experience in building and deploying LLM-based solutions, developing scalable ML pipelines, and working with modern AI frameworks and cloud-based deployment tools. Key Responsibilities AI / Data Science Development Apply advanced statistics, signal processing, and simulation techniques to solve complex business problems. Design, develop, and optimize machine learning and deep learning models. Work with large datasets to build data-driven AI solutions. LLM & Generative AI Development Develop and deploy Large Language Models (LLMs) and deep learning models for NLP applications. Implement Generative AI solutions, including prompt engineering and model optimization. Build solutions using RAG (Retrieval Augmented Generation) and hybrid AI architectures. Work with frameworks such as PyTorch, TensorFlow, and other modern AI libraries. AI System & Pipeline Deployment Design and implement scalable ML pipelines and AI services. Deploy AI applications using FastAPI or similar frameworks. Manage containerized applications using Docker and Kubernetes. Integrate models with cloud platforms and modern AI infrastructure. Implement MLOps practices for model deployment, monitoring, and lifecycle management. Required Skills Technical Skills Strong understanding of Data Science, Advanced Statistics, Signal Processing, and Simulation frameworks. Proficiency in programming languages such as Python, JavaScript, C/C++. Experience With AI/ML Frameworks Including PyTorch TensorFlow NLP and deep learning libraries Experience developing LLM-based applications. Knowledge Of RAG architectures Generative AI techniques Hybrid AI models Experience building ML pipelines using MLOps tools. Hands-on Experience With Docker Kubernetes FastAPI Cloud platforms (AWS, Azure, or GCP) Skills: llm,ml,data science,machine learning
Requirements
- Python
- JavaScript
- C/C++
- PyTorch
- TensorFlow
- NLP
- deep learning
- Docker
- Kubernetes
- FastAPI
- AWS
- Azure
- GCP
Preferred Technologies
- Python
- JavaScript
- C/C++
- PyTorch
- TensorFlow
- NLP
- deep learning
- Docker
- Kubernetes
- FastAPI
- AWS
- Azure
- GCP
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