AI / ML Engineer
Hyderabad Full-time Mid-level Machine Learning Engineering
At a glance
Mid-level Machine Learning Engineering role at Accenture. Hyderabad · full-time.
Pay not stated Machine Learning Engineering salary
RoleMachine Learning Engineering
SeniorityMid-level
LocationHyderabad
EmploymentFull-time
PostedOct 7, 2026 · 2w ago
Role brief
aimlroles summary, based on the employer's posting.
What you'll do
- Build generative AI applications and production-ready pipelines, then tune models for speed, scale and efficiency
- Work with business and technical teams to turn problems into AI requirements, test data-backed ideas and surface useful insights
- Design prompts and apply NLP methods to improve how generative AI models respond
- Check data accuracy and quality, and keep current with developments in generative AI and deep learning
- Document AI systems and share technical concepts with technical and non-technical audiences
What you bring
- At least five years of experience and a minimum of fifteen years of full-time education
- A degree in computer science, artificial intelligence, machine learning or a related field
- Hands-on generative AI development, with deep learning models such as GPT, VAE or GANs
- Python skills, machine learning frameworks such as TensorFlow or PyTorch, and knowledge of software engineering fundamentals
- Experience with cloud services and NLP methods or tools such as SpaCy, NLTK or Hugging Face
Who this fits
This role suits a mid-level engineer who can develop generative AI solutions and work both independently and with cross-functional teams. It is based in Hyderabad, India.
From the employer
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 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority.
Roles & Responsibilities:
-Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.
-Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.
-Optimizing existing generative AI models for improved performance, scalability, and efficiency.
-Ensure data quality and accuracy
-Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models.
-Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models.
-Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers
-Experience working with cloud based platforms (example: AWS, Azure or related)
-Strong problem-solving and analytical skills
-Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI
-Prior statistical modelling experience
-Demonstrable experience with deep learning algorithms and neural networks
-Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.
-Contributing to the establishment of best practices and standards for generative AI development within the organization.
Professional & Technical Skills:
-Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.
-Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.
-Must have strong knowledge of data structures, algorithms, and software engineering principles.
-Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure.
-Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.
-Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly.
-Need to have knowledge of software development methodologies, such as Agile or Scrum.
-Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions.
Additional Information:
-Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable.
-strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.
-You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment.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 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority.
Roles & Responsibilities:
-Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.
-Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.
-Optimizing existing generative AI models for improved performance, scalability, and efficiency.
-Ensure data quality and accuracy
-Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models.
-Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models.
-Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers
-Experience working with cloud based platforms (example: AWS, Azure or related)
-Strong problem-solving and analytical skills
-Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI
-Prior statistical modelling experience
-Demonstrable experience with deep learning algorithms and neural networks
-Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.
-Contributing to the establishment of best practices and standards for generative AI development within the organization.
Professional & Technical Skills:
-Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.
-Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.
-Must have strong knowledge of data structures, algorithms, and software engineering principles.
-Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure.
-Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.
-Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly.
-Need to have knowledge of software development methodologies, such as Agile or Scrum.
-Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions.
Additional Information:
-Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable.
-strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.
-You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment.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.