
AI/ML Developer
4 weeks ago
Job Description :
We are seeking a highly skilled AI/ML Developer with expertise in Python to build scalable AI systems for production. You will develop machine learning and LLM-based AI applications using cutting-edge technologies like Retrieval Augmented Generation (RAG), LangChain, and vector databases.
Key Responsibilities :
- Design and implement ML models for classification, regression, clustering, NLP, and deep learning tasks.
- Develop and deploy AI applications using LangChain, RAG architectures, and LLMs (e.g., OpenAI, Hugging Face).
- Implement vector database solutions (e.g., FAISS, Pinecone, Milvus) for semantic search and data retrieval.
- Develop prompt engineering and retrieval chains to enhance AI-driven automation.
- Write clean, modular, production-ready Python code optimized for scalability and performance.
- Collaborate with cross-functional teams (data scientists, software engineers, product managers).
- Optimize AI models for cloud deployment (AWS, Azure, GCP).
- Optionally contribute to React.js front-end development for AI-powered applications.
Required Skills & Qualifications:
- 3+ years of AI/ML development experience with Python.
- Strong expertise in machine learning algorithms (XGBoost, SVM, Random Forests, Logistic Regression).
- Deep learning proficiency with CNNs, RNNs, Transformers (BERT, GPT).
- Experience with unsupervised learning techniques (K-Means, PCA).
- Hands-on experience with RAG architectures, LangChain, and prompt engineering.
- Experience with vector search & semantic retrieval (e.g., BM25, DPR).
- Proficiency in Python ML libraries: scikit-learn, TensorFlow/PyTorch, Hugging Face Transformers.
- Familiarity with cloud-based AI development (AWS, Azure, or GCP).
Nice to Have:
- Experience with React.js for integrating AI models into web applications.
- Exposure to MLOps tools (MLflow, Kubeflow, Airflow).
- Knowledge of contrastive/self-supervised learning (SimCLR, CLIP).
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