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About the Role We are looking for a Senior AI/ML Developer to design, develop, and deploy intelligent machine learning solutions that solve real-world business problems. The ideal candidate will have strong hands-on experience in Python, machine learning, deep learning, NLP/Generative AI, and ML deployment, along with the ability to lead technical initiatives and mentor junior developers. Key Responsibilities Design, develop, train, and deploy machine learning and AI models for business applications.Develop end-to-end ML pipelines, from data preprocessing and feature engineering to model deployment and monitoring.Work with Generative AI, LLMs, NLP, RAG, embeddings, and vector databases where applicable.Evaluate model performance and implement techniques to improve accuracy, scalability, and reliability.Build and integrate AI/ML solutions with existing applications, APIs, and data platforms.Develop production-ready solutions using Python and relevant ML/AI frameworks.Collaborate with product managers, software developers, data engineers, and other stakeholders.Research and evaluate emerging AI/ML technologies, models, and frameworks.Implement best practices around MLOps, model versioning, testing, deployment, and monitoring.Troubleshoot model and production issues and continuously optimize AI solutions.Mentor junior AI/ML developers and contribute to technical architecture and code reviews.Required Skills & Qualifications Bachelor's/Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.36 years of hands-on experience in AI/ML development.Strong proficiency in Python and ML libraries such as Scikit-learn, TensorFlow, or PyTorch.Strong understanding of machine learning algorithms, deep learning, statistics, and data preprocessing.Experience with NLP, Generative AI, LLMs, prompt engineering, RAG, and/or fine-tuning.Experience working with REST APIs, databases, Git, and cloud platforms such as AWS, Azure, or GCP.Knowledge of Docker, CI/CD, MLOps, and model deployment.Experience with SQL and working with structured/unstructured datasets.Strong analytical, problem-solving, and communication skills.Good to Have Experience with LangChain, LlamaIndex, Hugging Face, OpenAI APIs, or similar AI frameworks.Hands-on experience with vector databases such as Pinecone, FAISS, Weaviate, or Chroma.Knowledge of Kubernetes and cloud-based ML infrastructure.Experience building AI-powered chatbots, recommendation systems, predictive models, or automation solutions.Familiarity with computer vision or speech AI.Experience taking AI/ML products from prototype to production.Work Location: In person .
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In your interview, expect this: 'Walk me through the last time you had to debug something that took you more than an hour. What was it, what did you try first, and what would you do differently?' Hiring managers ask this to see if you think systematically or just try random fixes. Have a real example ready with specifics.