AI Solutions Engineer
2 weeks ago
Please fill the below Google Form to get the interview process started:https://forms.gle/KFR7kQVNHL1pU3A57Job Title: AI Solutions Engineer (AWS Ecosystem Preferred) – Mid-LevelLocation: Bangalore (Hybrid)Job Type: Full-TimeCTC - up to 12LPACloudZenia is seeking a mid-level AI Solutions Engineer with expertise in building and deploying GenAI and ML solutions on the AWS ecosystem. You’ll work closely with customers and cross-functional teams to deliver high-impact, scalable AI/ML applications that solve real-world business challenges.Key Responsibilities: -Design and implement AI/ML solutions tailored to complex customer challenges.Translate complex customer challenges into optimized Al/ML solutions.Build and deploy Agentic Al systems and RAG-powered applications.Develop and optimize pipelines using Python, PyTorch, TensorFlow, LangChain.Architect and deploy solutions using AWS GenAI & ML services (Bedrock, SageMaker, Kendra, Lex, Lambda, S3, etc.).Implement MLOps best practices: CI/CD for ML, monitoring, retraining, and scaling.Work with structured and unstructured data, including text, images, and embeddings.Collaborate with customers, architects, and product managers to ensure clear communication and measurable impact.Balance performance, cost, and security in every solution.Requirements:-04 years of experience in AI/ML development, with at least 2 years in GenAI applications.Strong programming skills in Python and experience with ML frameworks.Hands-on experience with Agentic AI, vector databases (Pinecone, Weaviate, FAISS, OpenSearch), and RAG architectures.Familiarity with prompt engineering, fine-tuning, and evaluation of LLMs.Knowledge of MLOps practices, version control, and deployment workflows.Experience with AWS GenAI and ML services; cloud-native architecture knowledge is a plus.Excellent problem-solving and communication skills.Awareness of data security, governance, and cost optimization (FinOps mindset).About the Company:CloudZenia is an IT services company specializing in Managed DevOps, Cloud Engineering, Migration, Backup & DR, Security Solutions, and Managed Services. We deliver tailored, scalable, and cost-efficient cloud solutions that enhance reliability, performance, and operational efficiency for businesses across industries.
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