Design, build, deploy, and maintain ML/DL and GenAI solutions (including RAG/agents) across the full lifecycle. Implement training/evaluation pipelines, automated retraining, monitoring/observability, multi-tenant guardrails, and production CI/CD integrations to scale reliable customer deployments.
Senior AI Engineer (ML / Deep Learning / GenAI)
Location: India
Job Type: Full-time, Remote
Experience Level: 4+yrs(Hands-on IC)
About the Role
We are looking for a Senior AI Engineer to help us turn complex, time-consuming workflows into AI capabilities that customers can trust and use in day-to-day operations. The work spans classical machine learning, deep learning, and generative AI. You’ll be hands-on across the full lifecycle: shaping the solution, building or configuring models, deploying and keeping them healthy through retraining and strong observability as data and usage evolve.
What makes this role especially interesting is the “last mile”: taking AI features beyond a single implementation and making them work repeatedly across customers. You’ll help harden the patterns that enable secure, reliable, and measurable multi-customer deployments, backed by practical guardrails and evaluation so quality holds up as usage grows.
This role is supported by and collaborates closely with DevOps/MLOps and Data/AI Architecture to deliver production outcomes and establish repeatable standards as the team scales significantly over time. Most of this runs on Azure today, with room to explore OCI as our platform evolves.
Key Responsibilities
Location: India
Job Type: Full-time, Remote
Experience Level: 4+yrs(Hands-on IC)
About the Role
We are looking for a Senior AI Engineer to help us turn complex, time-consuming workflows into AI capabilities that customers can trust and use in day-to-day operations. The work spans classical machine learning, deep learning, and generative AI. You’ll be hands-on across the full lifecycle: shaping the solution, building or configuring models, deploying and keeping them healthy through retraining and strong observability as data and usage evolve.
What makes this role especially interesting is the “last mile”: taking AI features beyond a single implementation and making them work repeatedly across customers. You’ll help harden the patterns that enable secure, reliable, and measurable multi-customer deployments, backed by practical guardrails and evaluation so quality holds up as usage grows.
This role is supported by and collaborates closely with DevOps/MLOps and Data/AI Architecture to deliver production outcomes and establish repeatable standards as the team scales significantly over time. Most of this runs on Azure today, with room to explore OCI as our platform evolves.
Key Responsibilities
- Build and deliver AI solutions using ML/DL and GenAI services based on problem needs.
- Develop and maintain pipelines for training, evaluation, deployment, monitoring, and retraining.
- Build GenAI applications (e.g., RAG/agents) with strong evaluation and guardrails.
- Deploy AI workloads for real-time inference and/or batch processing.
- Implement automated retraining (scheduling/triggers, validation, versioning, rollout).
- Scale GenAI-enabled solutions so multiple customers can use them safely and reliably, with multi-tenant controls, guardrails, evaluation, and tuning
- Set up model observability: performance metrics, drift detection, data quality checks, alerting, and production troubleshooting.
- Partner with engineering and platform teams to integrate solutions into production and CI/CD workflows.
- 5+ years overall experience in AI/ML engineering, including 2+ years with GenAI/LLM systems.
- Strong proficiency in Python for model development, automation, and production-grade services.
- Experience building GenAI applications (e.g., RAG/agents) with evaluation and guardrails.
- Proven experience running models in production with monitoring, retraining, and observability practices.
- Hands-on experience with Azure (Azure ML preferred); OCI exposure is a plus.
- Experience with MLOps practices/tools such as MLflow and CI/CD pipelines.
- Hands-on experience deploying AI services on Azure using Azure App Service and Azure Container Apps, with monitoring via Application Insights.
- Experience containerizing services using Docker in production environments.
- Hands-on experience with orchestration using Apache Airflow (open-source) or Azure-native alternatives (Azure Data Factory / Azure ML pipelines).
- Working knowledge of scalable service design (latency/cost optimization, caching, batching, rate limiting).
- Experience with deep learning frameworks (PyTorch or TensorFlow) is a plus.
Strong communication skills and ability to work effectively in a collaborative environment.
What We Offer
What We Offer
- Opportunity to grow your career with a rapidly growing organisation.
- Exposure to working with a Microsoft gold partner organization with the latest technologies.
- People first organisation culture
- Company Paid Group Mediclaim Insurance for employee, spouse and up to 2 Kids of INR 400,000 per annum
- Company Paid Group Personal accidental insurance for employees of INR 1,000,000 per annum.
- Company Paid & Manager approved Career Advancement Opportunities
- Best in the Industry referral bonus policy.
- 29 Paid leaves throughout the year
- Company-paid Maternity leaves for female employees
Top Skills
Python,Generative Ai,Llms,Rag,Agents,Azure,Azure Ml,Oci,Mlflow,Ci/Cd,Azure App Service,Azure Container Apps,Application Insights,Docker,Apache Airflow,Azure Data Factory,Azure Ml Pipelines,Pytorch,Tensorflow
Similar Jobs
.jpeg)
Artificial Intelligence • Hardware • Information Technology • Machine Learning
The WFD Associate will manage training certifications for operators, facilitate onboarding, support audits, and ensure quality assurance in training processes.
Top Skills:
Learning Software (Lms)Workday
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
The role involves managing workflows, reconciling accounts, analyzing financial information, supporting financial reporting, and improving processes.
Top Skills:
Accounting Financial InstrumentsFinancial Analysis
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
The role focuses on investment reporting, reconciliation, analytics, and collaboration with various teams to ensure accurate financial reporting and insights for the EMEA segment.
Top Skills:
ExcelUs Gaap
What you need to know about the Kolkata Tech Scene
When considering the industries shaping India's tech scene, gaming might not immediately come to mind. However, in the last decade, increased internet usage and greater access to mobile devices have catapulted the industry to new heights, with Kolkata-based companies like Virtualinfocom, Red Apple Technologies and Digitoonz, at the forefront, driving the design and animation of new gaming titles for players.
