Senior AIML & Python Engineer

You are seeking a highly skilled and experienced Senior AI/ML/Data Engineer with strong Python expertise to join the team. In this role, you will be responsible for designing and implementing end-to-end machine learning solutions, analyzing complex datasets, and building data-driven products for global clients. A strong foundation in data science, machine learning, deep learning, and hands-on experience with Python and popular ML frameworks is required. Responsibilities Design, develop, and deploy machine learning and deep learning models for real-world applications. Develop and integrate Generative AI models, including large language models (LLMs), for use cases such as text generation, summarization, code generation, and RAG systems. Work with vector representations of data (e.g., embeddings) and integrate with vector databases for similarity search and retrieval-based systems. Build and manage data pipelines, ETL processes, and ensure data quality and integrity. Integrate ML models into production systems. Conduct exploratory data analysis (EDA), feature engineering, and statistical modeling. Develop and maintain APIs and services for model consumption using Python (Flask, FastAPI, etc.). Optimize model performance and scalability for real-time and batch processing. Research and experiment with new ML algorithms and techniques to solve business problems. Mentor junior team members and contribute to best practices in AI/ML development. Qualifications Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or related field. Minimum 4 years of hands-on experience in machine learning, data engineering, and Python programming. Strong proficiency in Python, Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, and ML/DL frameworks. Proficient in working with SQL and NoSQL databases, data wrangling, and data visualization tools. Experience with vector databases (e.g., FAISS, Pinecone, Weaviate) and working with high-dimensional embeddings. Solid understanding of supervised, unsupervised, and deep learning techniques. Experience building and integrating AI voice agents / conversational systems, including speech-to-text (STT), text-to-speech (TTS), intent detection using platforms such as Twilio, ElevenLabs, Deepgram, or similar. Hands-on experience with workflow automation and orchestration tools such as n8n, including designing event-driven pipelines, integrating third-party APIs, handling retries/error flows, and building scalable automation for AI and data pipelines. Experience working with Model Context Protocol (MCP) and integrating Claude (Anthropic) as a reasoning layer, including building secure connectors to business systems (e.g., CRM, databases, analytics tools), managing tool/function calling. Experience deploying models in production and integrating with APIs or web applications. You are seeking a highly skilled and experienced Senior AI/ML/Data Engineer with strong Python expertise to join the team. In this role, you will be responsible for designing and implementing end-to-end machine learning solutions, analyzing complex datasets, and building data-driven products for global clients. A strong foundation in data science, machine learning, deep learning, and hands-on experience with Python and popular ML frameworks is required. Responsibilities Design, develop, and deploy machine learning and deep learning models for real-world applications. Develop and integrate Generative AI models, including large language models (LLMs), for use cases such as text generation, summarization, code generation, and RAG systems. Work with vector representations of data (e.g., embeddings) and integrate with vector databases for similarity search and retrieval-based systems. Build and manage data pipelines, ETL processes, and ensure data quality and integrity. Integrate ML models into production systems. Conduct exploratory data analysis (EDA), feature engineering, and statistical modeling. Develop and maintain APIs and services for model consumption using Python (Flask, FastAPI, etc.). Optimize model performance and scalability for real-time and batch processing. Research and experiment with new ML algorithms and techniques to solve business problems. Mentor junior team members and contribute to best practices in AI/ML development. Qualifications Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or related field. Minimum 4 years of hands-on experience in machine learning, data engineering, and Python programming. Strong proficiency in Python, Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, and ML/DL frameworks. Proficient in working with SQL and NoSQL databases, data wrangling, and data visualization tools. Experience with vector databases (e.g., FAISS, Pinecone, Weaviate) and working with high-dimensional embeddings. Solid understanding of supervised, unsupervised, and deep learning techniques. Experience b