AI/ML Engineer

About Us dotSolved, headquartered in Silicon Valley USA, is a leading global provider of business process automation, modern application engineering, and cloud infrastructure services. dotSolved focuses on enabling digital transformations for small, medium, and large enterprises, in the following industries (but not limited to): High technology, Energy, Manufacturing, Financial Services, Media & Entertainment, Communications, Retail, Healthcare, and Education. dotSolved drives digital transformations for enterprises by defining, automating, and optimizing complex business processes for the digital era and engineering modern, data & analytic driven, applications that deliver intended business value. With hundreds of successful implementations and experience in Big Data, ERP, and Supply Chain, dotSolved can guarantee the creation of measurable business value from project engagements leading to accelerated business growth and profitability for customers. Job Description Position: AI/ML Engineer Location: Chennai - Remote Shift Timing: 3.00PM - 12.00AM IST Build AI Systems (Core Responsibility) Design and implement end-to-end AI/ML solutions including LLM-based applications Build RAG pipelines using vector databases and enterprise data sources Build machine learning models that automate their training, validation, monitoring, and retraining Develop APIs and services to operationalize AI capabilities across the organization Develop Data + AI Pipelines Build ingestion for multi-modal content and transformation pipelines for structured and unstructured data Integrate AI workflows with enterprise systems (policy, claims, billing, etc.) Ensure data quality, traceability, reliability, and governance in all AI pipelines Operationalize Models (MLOps) Implement CI/CD for AI/ML workflows Deploy, monitor, and maintain models in production Manage model versioning, performance monitoring, and retraining processes Build on AWS Develop solutions using: Amazon SageMaker, AWS Lambda, S3, Glue, EKS, and related services Contribute to evolving use of AWS Bedrock Apply Responsible AI Practices Implement guardrails for LLM-based systems (grounding, validation, safety) Ensure secure handling of sensitive data (PII, financial, etc.) Build systems aligned with enterprise governance and compliance standards Qualifications: Required 10+ years in software, data engineering, 5 years AI/ML engineering Hands-on experience building production AI/ML systems Experience with RAG pipelines, LLMs, or NLP-based systems Experience with AWS Bedrock or similar GenAI platforms Experience with data pipelines and distributed systems Experience deploying and operating systems in AWS Working knowledge of MLOps practices (CI/CD, monitoring, versioning) Preferred Experience with vector databases (Pinecone, Weaviate, etc.) Experience in regulated industries (insurance, finance, healthcare) Exposure to microservices and containerized environments (Docker, Kubernetes)