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Description : Job Title : AI/ML EngineerLocation : NoidaExperience : 4+ YearsEmployment Type : Full-TimeIndustry : Artificial Intelligence / Conversational AI / SaaSAbout the Role : We are seeking a hands-on AI/ML Engineer to design, build, and scale our conversational voice and chatbot platform leveraging the latest advancements in Large Language Models (LLMs), speech technologies, and AI tools such as OpenAIs speech-to-speech models, ElevenLabs, Twilio, and AWS AI services.As an AI/ML Engineer, you will contribute to the end-to-end AI strategyfrom model design and fine-tuning to deployment and performance optimization. You will work closely with cross-functional teamsincluding engineering, product, and DevOpsto architect, implement, and scale AI-driven systems that deliver natural and contextually accurate human-computer interactions.Key Responsibilities : - Design, develop, and implement LLM-based AI models to power conversational platforms.- Architect and integrate voice APIs and communication platforms (e.g., Twilio, Exotel, ElevenLabs) for seamless speech workflows and call automation.- Implement Retrieval-Augmented Generation (RAG) pipelines to improve context awareness, response relevance, and model performance.- Develop and deploy speech recognition (ASR) and text-to-speech (TTS) components to enhance multimodal conversational experiences.- Manage the end-to-end AI model lifecycle including data preprocessing, training, fine-tuning, evaluation, and production deployment.- Deploy, monitor, and optimize AI models using cloud platforms (AWS, GCP, or Azure).- Establish MLOps best practices, ensuring continuous integration, model versioning, performance tracking, and scalability.- Collaborate with product and engineering teams to translate business needs into scalable AI solutions.- Stay current with GenAI trends, LLM research, and speech technology advancements, and proactively adopt emerging tools and methodologies.- Contribute to technical documentation, experimentation, and model improvement initiatives.Required Qualifications & Skills : - 4+ years of hands-on experience in AI/ML, with a strong focus on Natural Language Processing (NLP), LLMs, and Conversational AI.- Proven expertise in fine-tuning and deploying large language models such as GPT, OpenAI models, or BERT.- Strong understanding of Automatic Speech Recognition (ASR), Speech-to-Text, and Text-to-Speech (TTS) systems.- Proficiency in Python and major ML frameworks (TensorFlow, PyTorch, or similar).- Experience in cloud-based AI model deployment (AWS SageMaker, GCP Vertex AI, or Azure ML).- Hands-on experience with vector databases, RAG techniques, and real-time inference pipelines.- Familiarity with MLOps tools and practices for CI/CD, model tracking, and automation.- Strong problem-solving, analytical, and debugging skills.- Experience working in AI/ML-focused teams or projects involving production-level deployments.Preferred Qualifications (Nice to Have) : - Experience with speech synthesis models and voice cloning technologies.- Exposure to OpenAI API, Anthropic, Hugging Face Transformers, or similar ecosystems.- Knowledge of data privacy, compliance, and security frameworks in AI systems.- Familiarity with Kubernetes, Docker, or serverless architectures for AI deployments.Why Join Us : - Opportunity to work on cutting-edge AI innovation in the conversational intelligence space.- Collaborative and innovation-driven work culture with exposure to global teams and advanced AI tech stack.- Competitive compensation and growth opportunities in a rapidly scaling company.- Continuous learning support with access to premium AI research tools, frameworks, and mentorship. (ref:hirist.tech)