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Design, build, and operate production-grade GenAI/LLM systems: RAG pipelines, agentic multi-agent orchestration, vector DBs, LLM integrations, observability, PII redaction, and deployment using AWS Bedrock, FastAPI, Docker and monitoring tools. Collaborate on architecture docs and CI/AI evaluation frameworks.
Top Skills:
Aws BedrockBedrock AgentsClaudeDockerFastapiFireworks AiGpt-4OGroqHybrid SearchHydeLangchainLanggraphLangsmithLlama 3MistralModel Context Protocol (Mcp)OpentelemetryPgvectorPineconePythonRagasSemantic SearchVector SearchWeaviate
Fintech • Information Technology • Logistics
Develop, deploy, and scale end-to-end analytical solutions for the Vapor Phase Drying process. Build ML models and data pipelines, work with dashboards and model monitoring, use Python and ML libraries, leverage Azure data and ML services, apply time-series forecasting, collaborate cross-functionally, and ensure regulatory and internal compliance.
Top Skills:
ArArimaArmaAzure Data Explorer (Kusto)Azure Data FactoryAzure DatabricksAzure DevopsAzure Machine Learning ServiceDockerGitHive MetastoreKnnLinuxLogistic RegressionMatrix ProfileMlflowNoSQLNumpyPandasPlotlyProphetPyarrowPythonRandom ForestScikit-LearnSeabornSQLWindows
Information Technology • Consulting
Lead design, development, and deployment of production-grade LLM and RAG-based AI solutions. Improve retrieval performance, build automated evaluation and validation frameworks, instrument pgvector retrieval KPIs, integrate metrics into CI/CD, and mentor mid-level engineers while driving technical reviews and best practices.
Top Skills:
Ai GovernanceAnthropicAWSAzureAzure DevopsAzure OpenaiBm25Ci/CdEmbeddingsGCPLangchainLarge Language Models (Llms)LlamaindexMonitoringObservabilityOpenaiPgvectorPostgresPythonRagasRetrieval-Augmented Generation (Rag)Semantic KernelSemantic SearchVector Databases
Project Role : AI / ML Engineer
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Machine Learning (ML)
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As an AI / Machine Learning Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies and cloud-based AI services. The role requires integrating these solutions into robust production pipelines, whether hosted on cloud platforms or on-premises environments. The engineer actively works on implementing generative AI models and may engage in diverse areas such as deep learning, neural networks, conversational agents, and image analysis. Collaboration with various teams to ensure seamless deployment and operational excellence is a key aspect of daily activities, fostering innovation and practical AI-driven solutions.
Roles & Responsibilities:
- Expected to be an SME, collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Lead the design and implementation of AI and machine learning solutions that meet project requirements and quality standards.
- Mentor junior team members by sharing knowledge and guiding their technical growth.
- Coordinate cross-functional efforts to align AI initiatives with organizational goals and timelines.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Machine Learning (ML).
- Strong experience in developing and deploying AI models using cloud AI services and on-premises infrastructure.
- In-depth understanding of generative AI models and their practical applications.
- Hands-on expertise with deep learning frameworks and neural network architectures.
- Ability to design scalable and production-ready AI pipelines integrating various AI tools and services.
- Familiarity with chatbot development and image processing techniques.
Additional Information:
- The candidate should have minimum 7.5 years of experience in Machine Learning (ML).
- This position is based at our Chennai office.
- A 15 years full time education is required.
15 years full time education
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Machine Learning (ML)
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As an AI / Machine Learning Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies and cloud-based AI services. The role requires integrating these solutions into robust production pipelines, whether hosted on cloud platforms or on-premises environments. The engineer actively works on implementing generative AI models and may engage in diverse areas such as deep learning, neural networks, conversational agents, and image analysis. Collaboration with various teams to ensure seamless deployment and operational excellence is a key aspect of daily activities, fostering innovation and practical AI-driven solutions.
Roles & Responsibilities:
- Expected to be an SME, collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Lead the design and implementation of AI and machine learning solutions that meet project requirements and quality standards.
- Mentor junior team members by sharing knowledge and guiding their technical growth.
- Coordinate cross-functional efforts to align AI initiatives with organizational goals and timelines.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Machine Learning (ML).
- Strong experience in developing and deploying AI models using cloud AI services and on-premises infrastructure.
- In-depth understanding of generative AI models and their practical applications.
- Hands-on expertise with deep learning frameworks and neural network architectures.
- Ability to design scalable and production-ready AI pipelines integrating various AI tools and services.
- Familiarity with chatbot development and image processing techniques.
Additional Information:
- The candidate should have minimum 7.5 years of experience in Machine Learning (ML).
- This position is based at our Chennai office.
- A 15 years full time education is required.
15 years full time education
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
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We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Accenture Chennai, Tamil Nadu, IND Office
Chennai, India
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
