Creative AI Solutions Architect

11 hours ago

vadodara, India beBeeArtificial Full time

Artificial Intelligence EngineerWe are seeking a highly skilled and motivated AI/ML engineer to design and implement cutting-edge AI solutions. This role requires deep expertise in artificial intelligence, machine learning, and related technologies.The ideal candidate will have experience developing innovative AI applications using modern frameworks and cloud-based tools, working across cross-functional teams, and delivering high-impact AI/ML projects for diverse industries.Main Responsibilities:Develop and deploy advanced ML models using frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn.Apply deep knowledge of statistics, machine learning, NLP, and generative models, including GANs and transformers.Work with RAG (Retrieval-Augmented Generation) techniques and tools including Langchain, LlamaIndex, and vector databases like FAISS and Milvus.Integrate and manage LLM APIs and registries (e.g., Hugging Face, OpenAI, Google Vertex AI, AWS Bedrock).Build scalable APIs using Python frameworks such as Flask, Django, Django Rest Framework, or FastAPI.Collaborate with cross-functional teams to design and implement end-to-end AI pipelines, from data ingestion to model deployment and monitoring.Maintain and enhance data infrastructure for collecting, cleaning, and analysing large-scale datasets.Communicate technical concepts clearly and effectively with both technical and non-technical stakeholders.Engage with clients to understand business needs and deliver customized AI/ML solutions that drive value.Demonstrate innovation in Private AI and Smart Agent Solutions, ensuring data privacy and intelligent automation.Stay current with trends and advancements in AI, GenAI, LLMs, and related fields.Minimum Qualifications:3+ years of experience using Python and relevant packages for ML and data science.2+ years of experience in delivering impactful GenAI solutions, preferably in Private AI and Smart Agentic Systems.5+ years of experience in one or more of the following areas:Predictive AnalyticsMachine Learning and Deep LearningGenerative AIData DesignML Ops / AI InfrastructureStrong understanding of LLM technologies, embedding models, cloud-based AI services, and AI/ML operations.Hands-on experience with cloud-based AI platforms, including Azure OpenAI, Google Vertex Gen AI, and AWS AI services.

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