AI/ML Engineer

Dotsolved Systems, Inc.; Chennai District; On-site; INR 6,000,000 - 8,500,000; Full time

Job summary

dotSolved, headquartered in Silicon Valley USA, drives digital transformations by building production AI/ML systems and modern data pipelines for enterprise customers. This role focuses on end-to-end AI/ML solution design, RAG pipelines, and integration with enterprise systems across policy, claims, and billing.

The candidate will work on building scalable AI capabilities, deploying models in production, and applying responsible AI guardrails while collaborating with data engineering and

Qualifications

• 10+ years in software, data engineering, with at least 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.
• Working knowledge of MLOps practices (CI/CD, monitoring, versioning).

Responsibilities

• Design and implement end-to-end AI/ML solutions including LLM-based applications.
• Build RAG pipelines using vector databases and enterprise data sources.
• Develop APIs and services to operationalize AI capabilities across the organization.
• Deploy, monitor, and maintain models in production.
• Ensure data quality, traceability, reliability, and governance in all AI pipelines.

Skills

AI/ML engineering

Data engineering

Software development

MLOps

Distributed systems

Data pipelines

Tools

AWS Bedrock

SageMaker

Pinecone

Weaviate

Docker

Kubernetes

Job description

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.

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
• 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
• 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)