Auxo AI

Description : Auxo AI :- Auxo AI is a fast-growing SaS (Service as a Software) company that empowers businesses to harness the power of artificial intelligence for automation, analytics, and smarter decision-making. Our mission is to help organizations accelerate growth by delivering intelligent, scalable, and customer-centric AI solutions leveraging our AI Orchestration platform - Damia.Role Overview :- AuxoAI is hiring a Senior Data Scientist with strong expertise in AI, machine learning engineering (MLE), and generative AI. You will play a leading role in designing, deploying, and scaling production-grade ML systems - including large language model (LLM)-based pipelines, AI copilots, and agentic workflows. This role is ideal for someone who thrives on balancing cutting-edge research with production rigor and loves mentoring while building impact-first AI : Mumbai/Bengaluru/Hyderabad/ Gurgaon : - Own the full ML lifecycle : model design, training, evaluation, deployment- Design production-ready ML pipelines with CI/CD, testing, monitoring, and drift detection- Fine-tune LLMs and implement retrieval-augmented generation (RAG) pipelines- Build agentic workflows for reasoning, planning, and decision-making- Develop both real-time and batch inference systems using Docker, Kubernetes, and Spark- Leverage state-of-the-art architectures : transformers, diffusion models, RLHF, and multimodal pipelines- Collaborate with product and engineering teams to integrate AI models into business applications- Mentor junior team members and promote MLOps, scalable architecture, and responsible AI best : - 5+ years of experience in designing, deploying, and scaling ML/DL systems in production- Proficient in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX- Experience with LLM fine-tuning, LoRA/QLoRA, vector search (Weaviate/PGVector), and RAG pipelines- Familiarity with agent-based development (e.g., ReAct agents, function-calling, orchestration)- Solid understanding of MLOps : Docker, Kubernetes, Spark, model registries, and deployment workflows- Strong software engineering background with experience in testing, version control, and APIs- Proven ability to balance innovation with scalable deployment- B.S./M.S./Ph.D. in Computer Science, Data Science, or a related field- Bonus : Open-source contributions, GenAI research, or applied systems at Join AuxoAI?- Be part of a mission-driven company transforming how businesses use AI.- Opportunity to shape marketing from the ground up at a fast-scaling SaS company.- Collaborative, innovative, and growth-oriented culture.- Competitive compensation, benefits, and equity. (ref:hirist.tech)