CloudThat
Website:
cloudthat.com
Job details:
About CloudThat:
At CloudThat, we are driven by our mission to empower professionals and businesses to harness the full potential of cloud technologies. As a leader in cloud training and consulting services in India, our core values guide every decision we make and every customer interaction we have.
Role Overview
We are seeking a highly motivated AI/ML & Generative AI Developer with 3+ years of hands-on experience in building, deploying, and optimizing machine learning models and GenAI solutions. The ideal candidate will have strong experience in classical ML, deep learning, and practical exposure to Large Language Models (LLMs) and generative AI applications.
Key Responsibilities
- Design, develop, and deploy ML and deep learning models for production environments
- Build and fine-tune LLM-based applications using platforms such as OpenAI GPT-4, Claude, or open-source models (e.g., LLaMA)
- Implement RAG (Retrieval-Augmented Generation) pipelines
- Work with vector databases such as Pinecone, Weaviate, or FAISS
- Perform data preprocessing, feature engineering, and model evaluation
- Deploy models using cloud platforms such as Amazon Web Services, Google Cloud, or Microsoft Azure
- Build APIs using Python frameworks (FastAPI/Flask)
- Implement CI/CD pipelines and MLOps practices
- Collaborate with product, data engineering, and DevOps teams
Required Skills
- 3+ years of experience in AI/ML development
- Strong programming skills in Python
- Experience with ML/DL frameworks like TensorFlow and PyTorch
- Hands-on experience with LLMs, prompt engineering, fine-tuning, and embeddings
- Experience in NLP, computer vision, or recommendation systems
- Knowledge of Docker and Kubernetes
- Familiarity with MLOps tools (MLflow, Airflow, etc.)
- Strong understanding of statistics and machine learning algorithms
Good to Have
- Experience with LangChain or LlamaIndex
- Knowledge of reinforcement learning
- Experience with model quantization or optimization
- Exposure to Responsible AI and AI governance
Qualifications
- Bachelor’s/Master’s degree in Computer Science, AI, Data Science, or related field
- Relevant AI/ML certifications preferred
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