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2 years

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Posted:3 weeks ago| Platform: GlassDoor logo

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Job Description

We are looking for a highly skilled and experienced AI/ML Engineer with deep expertise in Generative AI, LLMs, small language models, AI agents, chatbots, and automation workflows. The ideal candidate will have a strong background in developing and deploying AI solutions, particularly in agentic AI tools such as Make.com, n8n, and other automation platforms. You will play a key role in building intelligent, scalable, and efficient AI-driven applications that integrate advanced AI models into real-world business use cases. Key Responsibilities: Design, develop, and deploy AI models focusing on Generative AI, LLMs, small language models, and AI agents for automation and chat-based applications. Develop and implement autonomous AI agents capable of handling real-time decision-making and workflow automation. Integrate AI solutions into products, leveraging tools like Make.com, n8n, and similar automation frameworks for seamless workflows. Optimize AI models for efficiency, scalability, and real-world application in production environments. Develop and fine-tune LLMs and small language models tailored for specific business needs. Implement AI-powered automation for customer support, process optimization, and intelligent decision-making. Collaborate with data scientists, engineers, and product managers to define AI-driven solutions that enhance business operations. Ensure high-performance AI models by implementing best practices in data processing, model training, evaluation, and deployment. Mentor junior AI engineers and contribute to knowledge sharing within the team. Stay ahead of the curve by researching emerging AI trends and evaluating their potential impact on business strategies. Required Skills and Experience Experience: 2 years of hands-on experience in AI/ML development, with a strong focus on Generative AI, LLMs, and automation workflows. Proven track record of building and deploying AI-powered chatbots, AI agents, and workflow automation tools. Technical Expertise: Strong programming skills in Python (preferred) and experience with AI/ML frameworks like TensorFlow, PyTorch, Keras, and Scikit-learn. Experience with LLM fine-tuning, model compression, and small language models for efficiency. Familiarity with Make.com, n8n, LangChain, AutoGPT, or other agentic AI tools for automation. Strong understanding of NLP, conversational AI, and chatbot development. Experience in cloud platforms like AWS, Google Cloud, or Azure for AI model deployment. Knowledge of vector databases, embeddings, and retrieval-augmented generation (RAG) techniques. Experience with big data technologies such as Hadoop, Spark, or similar is a plus. Preferred Qualifications: Experience integrating AI models into business workflows to enhance automation and efficiency. Familiarity with API development and integrations to connect AI services with other systems. Exposure to MLOps and AI model lifecycle management. Knowledge of prompt engineering and AI model optimization techniques. Job Type: Full-time Pay: ₹35,000.00 - ₹45,000.00 per month Benefits: Provident Fund Schedule: Day shift Experience: AI/ML : 2 years (Required) Work Location: In person

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