Develop production-ready AI and machine learning applications using LLMs, generative AI, cloud AI services, deep learning, NLP, chatbots, and image processing. The role involves serving as a subject matter expert, leading and mentoring teams, making technical decisions across multiple teams, deploying and improving AI systems, and ensuring model performance and application quality.
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 : Large Language Models (LLMs)
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies effectively into existing systems and workflows.
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.
- Mentor junior team members to enhance their skills and knowledge in AI and machine learning.
- Continuously evaluate and improve existing AI models and systems to ensure optimal performance.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models.
- Good To Have Skills: Experience with cloud-based AI services.
- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.
- Familiarity with natural language processing techniques and tools.
- Experience in developing and deploying chatbots and conversational agents.
Additional Information:
- The candidate should have minimum 7.5 years of experience in Large Language Models.
- This position is based in Mumbai.
- 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 : Large Language Models (LLMs)
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies effectively into existing systems and workflows.
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.
- Mentor junior team members to enhance their skills and knowledge in AI and machine learning.
- Continuously evaluate and improve existing AI models and systems to ensure optimal performance.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models.
- Good To Have Skills: Experience with cloud-based AI services.
- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.
- Familiarity with natural language processing techniques and tools.
- Experience in developing and deploying chatbots and conversational agents.
Additional Information:
- The candidate should have minimum 7.5 years of experience in Large Language Models.
- This position is based in Mumbai.
- 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
Equal Employment Opportunity Statement
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 Airoli, Mahārāshtra, IND Office
Airoli, India
Accenture Mumbai, Maharashtra, IND Office
Ganpatrao Kadam Marg, off Senapati Bapat Marg, Lower Parel West, Lower Parel, Mumbai, Maharashtra, India, 400013
Similar Jobs
Artificial Intelligence • Automotive • Computer Vision • Information Technology • Internet of Things • Logistics • Software
Lead the architecture, development, deployment, and monitoring of production-grade machine learning systems for high-definition, ADAS, ISA, and IVI maps. Lead work across computer vision, NLP, deep learning, Generative AI, Agentic AI, MLOps, data ingestion, model training, inference, and scalable cloud or in-vehicle deployment. Provide technical leadership, conduct architecture and code reviews, integrate ML outputs with mapping workflows, and translate business requirements into reliable ML system designs.
Top Skills:
Agentic AiAws EmrAws LambdaAws S3Aws SagemakerCi/CdComputer VisionCrewaiDeep LearningDockerFeature StoresGenerative AiJenkinsKubernetesLangchainLanggraphMlopsNatural Language ProcessingNoSQLRagSQLVector Databases
Food
Build and support production MLOps pipelines on GCP using Vertex AI, Airflow, Kubeflow, and related tools. Responsibilities include feature engineering, model deployment, monitoring, retraining, lifecycle management, performance optimization, CI/CD, documentation, and operational support. The role collaborates with data science, data engineering, cloud platform, and MLOps teams to deliver scalable machine learning solutions and establish reusable MLOps standards and best practices.
Top Skills:
AirflowBigQueryCi/CdCloud ComposerCustom ContainersGoogle Cloud Platform (Gcp)KubeflowPythonSQLVertex Ai
Information Technology
Develop production-ready AI and machine learning applications using cloud AI services and large language models. Responsibilities include designing scalable solutions involving generative AI, deep learning, neural networks, NLP, chatbots, and image processing. The role serves as a subject matter expert, guides team decisions, mentors colleagues, collaborates across teams, and improves AI processes and systems.
Top Skills:
ChatbotsCloud Ai ServicesDeep LearningGenerative AiImage ProcessingLarge Language Models (Llms)Natural Language Processing (Nlp)Neural NetworksPyTorchTensorFlow
What you need to know about the Mumbai Tech Scene
From haggling for the best price at Chor Bazaar to the bustle of Crawford Market, the energy of Mumbai's traditional markets is a key part of the city's charm. And while these markets will always have their place, the city also boasts a thriving e-commerce scene, ranking among the largest in the region. Driven by online sales in everything from snacks to licensed sports merchandise to children's apparel, the local industry is worth billions, with companies actively recruiting to meet the demands of continued growth.
