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Artificial Intelligence/Machine Learning Engineer - Python Job Opening In Bengaluru – Now Hiring Coffeee.io


Job description

<p><p><b>Role Overview : </b><br/><br/> We are seeking a hands-on AI/ML Engineer with proven expertise in designing, building, and deploying intelligent chatbots.<br/><br/> The ideal candidate will not only be technically strong but also capable of leading a small team of junior engineers, setting technical direction, and ensuring high-quality Responsibilities : </b></p><br/> - Architect, design, and implement AI-driven chatbot solutions using state-of-the-art frameworks (e.g., Rasa, Dialogflow, LangChain, LLM APIs).<br/><br/> - Apply Natural Language Processing (NLP) and Machine Learning techniques for intent classification, entity recognition, and conversation management.<br/><br/> - Lead end-to-end chatbot development lifecycle from data preparation and model training to deployment and monitoring.<br/><br/> - Guide junior engineers through code reviews, mentorship, and technical leadership.<br/><br/> - Collaborate with product, UX, and business teams to ensure chatbot solutions meet user and business requirements.<br/><br/> - Continuously evaluate and integrate new tools, frameworks, and AI advancements (e.g., LLM fine-tuning, vector databases, prompt engineering).<br/><br/> - Ensure production-grade performance, scalability, and security of deployed Skills & Experience : </b></p><br/> - 610 years of professional experience in AI/ML and software engineering, with at least 3+ years building chatbot solutions.<br/><br/> - Proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn, spaCy, Hugging Face, etc.).<br/><br/> - Strong expertise in NLP techniques, conversational AI frameworks (Rasa, Dialogflow, Botpress, LangChain, etc.), and LLM APIs (OpenAI, Anthropic, etc.).<br/><br/> - Experience with cloud deployment (AWS/Azure/GCP) and containerization (Docker/Kubernetes).<br/><br/> - Knowledge of vector databases (Pinecone, Weaviate, FAISS, Milvus) for retrieval-augmented generation (RAG).<br/><br/> - Hands-on experience integrating chatbots with enterprise systems, APIs, and messaging platforms (Teams, Slack, WhatsApp, Web, etc.).<br/><br/> - Strong understanding of ML lifecycle management (MLOps), model deployment, monitoring, and retraining.<br/><br/> - Demonstrated ability to lead small technical teams and deliver projects in Agile : </b></p><br/> - Experience in Generative AI (LLMs, fine-tuning, prompt engineering).<br/><br/> - Background in analytics, recommendation systems, or voice-enabled bots.<br/><br/> - Open-source contributions or published work in chatbot/AI.</p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Artificial Intelligence Potential: Insight & Career Growth Guide


Real-time Artificial Intelligence Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Artificial Intelligence in Bengaluru, India, highlighting market share and opportunities for professionals in Artificial Intelligence roles.

19578 Jobs in India
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959 Jobs in Bengaluru
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Download Artificial Intelligence Jobs Trends in Bengaluru and India

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Coffeee.io adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

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Coffeee.io interview tips for Artificial Intelligence/Machine Learning Engineer   Python

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