Design, build, and deploy scalable AI/ML solutions using Azure OpenAI and related Azure services; lead end-to-end projects, implement RAG and LLM integrations, ensure CI/CD and secure API/data practices, and collaborate across global teams.
Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the largest healthcare, life sciences, financial services, and government organizations worldwide. As we continue to expand our global footprint, we have an exciting opportunity for a highly skilled AI Engineer to join our innovative and dynamic team.
AI Engineer | About You
As an AI Engineer, you are responsible for designing and implementing cutting-edge AI solutions that drive innovation and efficiency. You thrive in fast-paced environments and are passionate about solving complex problems using machine learning and AI technologies. You are a self-starter who enjoys working independently as well as collaborating with cross-functional teams. Your curiosity and drive to stay ahead of emerging technologies make you a valuable contributor to any AI initiative. You take pride in building scalable, secure, and impactful AI systems that deliver real business value.
AI Engineer | Day-to-Day
- Architect and develop AI-powered services, tools, and products that align with business goals and technical requirements, ensuring scalability, reliability, and performance.
- Lead end-to-end project execution, from initial concept and design through development, testing, and deployment, while maintaining high standards of quality and efficiency.
- Build and integrate AI models using Azure OpenAI and other Azure AI Services, applying best practices in model training, fine-tuning, and production deployment.
- Collaborate with stakeholders across teams to translate business needs into clear technical specifications, ensuring alignment throughout the development lifecycle.
- Stay current with emerging AI technologies and tools, proactively identifying opportunities to enhance existing systems or introduce new capabilities.
- Work independently and within global teams, contributing to a collaborative and innovative environment while managing tasks with minimal supervision.
AI Engineer | Skills & Experience
- 3+ years of experience in AI/ML engineering or related fields.
- Strong programming skills in Python and SQL, with hands-on experience in ML libraries and UI development using Streamlit or JavaScript frameworks.
- Deep expertise in Microsoft Azure, including Azure AI Foundry, Azure OpenAI, and related services.
- Solid understanding of CI/CD pipelines, version control systems (Git), and Azure DevOps workflows.
- Experience working with both open-source and proprietary LLMs, including Retrieval-Augmented Generation (RAG) implementations.
- Knowledge of secure API/web service development and data protection best practices.
- Excellent communication skills and a collaborative mindset for working across teams and time zones.
Similar Jobs
Financial Services
Develops secure, scalable Java full-stack applications within an agile team. Responsibilities include software design, coding, testing, troubleshooting, architecture documentation, data analysis, visualization, and maintaining operational stability. The role also uses enterprise-authorized AI coding tools responsibly to improve development productivity, validates AI-generated outputs, and promotes secure coding, resiliency, and automation practices.
Top Skills:
Ai-Assisted Software Development ToolsCi/CdCloud TechnologiesJava
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
Designs and develops AI and machine learning models, including NLP and computer vision systems. Deploys models into scalable production applications using APIs, microservices, and cloud platforms. Handles large datasets, trains and optimizes models, evaluates performance, and collaborates with data scientists and software engineers to deliver business-aligned AI solutions.
Top Skills:
APIsAws SagemakerAzure MlC++Computer VisionGCPJavaKerasMcp ServerMicroservicesNatural Language ProcessingPythonPyTorchScikit-LearnSQLTensorFlow
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Architects, develops, and deploys enterprise generative AI and agent-based solutions using LLMs, retrieval pipelines, Microsoft agent technologies, Azure services, Python, and C#/.NET. Owns platform architecture, infrastructure as code, CI/CD, observability, governance, optimization, and roadmap advancement. Leads solution design, stakeholder collaboration, code reviews, mentoring, and post-deployment improvements for employee-facing AI applications.
Top Skills:
Adaptive CardsAzure Ai Agent ServicesAzure Ai FoundryAzure Ai SearchAzure Api ManagementAzure FunctionsAzure OpenaiC#/.NetCi/CdClaudeFaissGptHugging Face TransformersLangchainLanggraphLlamaLlamaindexMcpMicrosoft 365 Agent SdkMicrosoft Agent FrameworkAzureMicrosoft TeamsPineconePythonRest ApisSemantic KernelTerraform
What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
