Develop production-ready AI/ML applications and pipelines using cloud AI services and GenAI models. Design and implement data engineering solutions, ETL and data pipelines, and work on deep learning, chatbots, and image-processing tasks. Lead and manage teams, drive cross-team decisions, and facilitate knowledge sharing to ensure project alignment and 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 : Data Engineering
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 application pipelines, ensuring high-quality standards are met. You will also explore the integration of generative AI models into solutions, while working on various aspects of deep learning, neural networks, chatbots, and image processing. Collaboration with cross-functional teams will be essential to drive innovation and enhance system capabilities.
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.
- Facilitate knowledge sharing sessions to enhance team skills and capabilities.
- Monitor project progress and ensure alignment with strategic goals.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Engineering.
- Strong understanding of data pipeline architecture and ETL processes.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Familiarity with machine learning frameworks like TensorFlow or PyTorch.
- Ability to work with large datasets and perform data wrangling.
Additional Information:
- The candidate should have minimum 5 years of experience in Data Engineering.
- This position is based at our Pune 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 : Data Engineering
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 application pipelines, ensuring high-quality standards are met. You will also explore the integration of generative AI models into solutions, while working on various aspects of deep learning, neural networks, chatbots, and image processing. Collaboration with cross-functional teams will be essential to drive innovation and enhance system capabilities.
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.
- Facilitate knowledge sharing sessions to enhance team skills and capabilities.
- Monitor project progress and ensure alignment with strategic goals.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Engineering.
- Strong understanding of data pipeline architecture and ETL processes.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Familiarity with machine learning frameworks like TensorFlow or PyTorch.
- Ability to work with large datasets and perform data wrangling.
Additional Information:
- The candidate should have minimum 5 years of experience in Data Engineering.
- This position is based at our Pune 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
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 Mumbai, Maharashtra, IND Office
Ganpatrao Kadam Marg, off Senapati Bapat Marg, Lower Parel West, Lower Parel, Mumbai, Maharashtra, India, 400013
Similar Jobs
Information Technology
Design and implement production-ready AI/ML applications using LLMs and cloud AI services. Integrate generative models, deep learning frameworks, NLP, and chatbots; provide SME guidance, cross-team solutions, mentoring, and knowledge-sharing to deliver high-quality, scalable systems.
Top Skills:
ChatbotsCloud Ai ServicesDeep LearningGenerative AiImage ProcessingLarge Language Models (Llms)Natural Language Processing (Nlp)Neural NetworksOn-Prem Application PipelinePyTorchTensorFlow
Information Technology
Designs and implements production-ready AI solutions using LLMs, generative AI, deep learning frameworks and cloud AI services. Leads and mentors teams, defines technical decisions, integrates APIs, and delivers scalable chatbot and image-processing applications while ensuring high quality and performance.
Top Skills:
APIsCloud Ai ServicesDeep LearningGenerative AiLarge Language Models (Llms)Neural NetworksPyTorchTensorFlow
Information Technology
Designs and implements production-ready AI systems using cloud AI services and GenAI models. Applies LLMs, deep learning, NLP, chatbots and image processing; mentors team members, leads technical decisions, and ensures scalable, robust deployments.
Top Skills:
AWSAzureChatbotsCloud Ai ServicesGenerative AiGCPImage ProcessingLarge Language ModelsNatural Language ProcessingPyTorchTensorFlow
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.
