Innovative AI Solutions Developer

4 days ago

bangalore, India beBeeArtificial Full time

Job DescriptionAs a key member of our AI team, you will be responsible for designing and developing innovative AI/ML models and algorithms using modern frameworks and techniques. Your expertise in building and deploying GenAI applications using LLMs, RAG systems, and vector databases will help drive the growth of our business.Design and develop AI/ML models and algorithms using modern frameworks and techniques.Build and deploy GenAI applications using LLMs, RAG systems, and vector databases.Develop innovative proof-of-concepts to explore new AI technologies and use cases.Implement cloud-native AI solutions with scalable architectures.Research and evaluate emerging AI technologies for potential integration.Collaborate with development teams to integrate AI capabilities into existing products.Optimize AI systems for performance, scalability, and production deployment.Contribute to technical documentation and knowledge sharing.Develop new solutions, services or products as Cloud-native solutions.Implement MLOps practices for continuous integration, deployment, and monitoring of AI models.Required Skills and QualificationsBachelor's/Master's degree in Computer Science, AI, ML, Data Science, or related technical field.4+ years of hands-on AI/ML development experience with production deployments with a total experience of 7-8 yrs.Strong programming skills in Python (preferred) & Node.js.Sql & No sql exposure is must.GenAI/LLM expertise: Experience with transformer models, prompt engineering, and LLM orchestration frameworks (LangChain, LlamaIndex).Cloud: Proficient in AWS (Sagemaker, AWS SDK, MCP & Bedrock) , OR GCP (Vertex AI, ADK, and MCP) for building, integrating, and operationalizing cloud-native AI/ML solutions.ML/DL proficiency: Solid understanding of machine learning algorithms, deep learning, and frameworks (TensorFlow, PyTorch, scikit-learn).Cloud development: Experience with cloud platforms (AWS or GCP preferred) and containerization (Docker)Rapid prototyping skills: Ability to quickly build and iterate on proof-of-concepts Self-directed learning: Demonstrated ability to independently explore and master new technologies.Strong analytical and problem-solving capabilities.Tools & Platforms: Vertex AI, Bedrock, SageMaker, ADK, MCP, LangChain, LlamaIndex, TensorFlow, PyTorch, Docker, and Kubernetes.GOOD TO HAVE:Experience with vector databases, embeddings, and semantic search technologies.Knowledge of MLOps practices and AI model lifecycle management.Familiarity with microservices architecture and API development.Experience with AI safety, responsible AI practices, and bias mitigation.Contributions to open-source AI/ML projects or technical publications.Experience with agile development methodologies and cross-functional collaboration.Knowledge of additional programming languages (C#, C++)

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