Full Stack Engineer
Summary
Designs and builds full-stack AI/ML systems, from user interfaces to cloud infrastructure, using Python, Docker/Kubernetes, and cloud AI services to deliver scalable solutions for enterprise clients.
Project Role : Full Stack Engineer
Project Role Description : Responsible for developing and/or engineering the end-to-end features of a system, from user experience to backend code. Use development skills to deliver innovative solutions that help our clients improve the services they provide. Leverage new technologies that can be applied to solve challenging business problems with a cloud first and agile mindset.
Must have skills : Data Science, Docker Kubernetes Architecture, Prompt Engineering
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Full Stack Engineer, a typical day involves designing and building comprehensive system features that span from the user interface to the backend infrastructure. This role requires actively engaging in the entire development lifecycle, ensuring seamless integration and functionality. The engineer collaborates with various teams to implement innovative solutions that address complex business challenges, embracing a cloud-first approach and agile methodologies to enhance client services and system performance.
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with cross-functional teams to ensure alignment of project goals and deliverables.
- Continuously evaluate and integrate emerging technologies to improve system efficiency and scalability.
- Assist junior team members by sharing knowledge and providing guidance to support their professional growth.
Designs, develops, and deploys AI/ML solutions including predictive models, NLP applications, computer vision, and generative AI. Builds end-to-end ML pipelines, integrates models via APIs, implements MLOps practices, and ensures responsible AI (fairness, explainability, bias detection). Collaborates with data scientists and engineers to move prototypes to production. Mentors junior developers.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Science, Docker Kubernetes Architecture, Prompt Engineering.
Python & AI/ML ecosystem: TensorFlow, PyTorch, scikit-learn, Hugging Face, LangChain
Cloud AI/ML: Azure ML, Azure OpenAI, AWS SageMaker, or GCP Vertex AI
MLOps: MLflow, Kubeflow, Azure ML Pipelines
Generative AI: LLMs, RAG, prompt engineering, vector DBs
Docker & Kubernetes CI/CD pipelines
RESTful API & microservices development
Deep learning architectures (CNNs, RNNs, Transformers, GANs)
Good to have :
Data manipulation: Pandas, NumPy, Spark, SQL
Experience in pharma/healthcare/life sciences
Master's or Ph.D. in AI/ML/CS
- Experience with programming languages and frameworks commonly used in full stack development.
- Strong understanding of cloud computing principles and deployment strategies.
- Ability to design scalable and maintainable system architectures.
- Familiarity with agile development practices and continuous integration/continuous deployment pipelines.
Additional Information:
- The candidate should have minimum 2 years of experience in Data Science.
- This position is based at our Pune office.
- A 15 years full time education is required.
Required Cert (one of):
Azure AI Engineer Associate
AWS Certified ML – Specialty
Preferred Certs:
Google Professional ML Engineer
NVIDIA DLI Certification
Stanford/DeepLearning.AI ML/DL Certificate
Resource should work from Pune only
Should work in Shift B
Resource should visit client office 3 times a week
Resource will be will work on CENCORA payroll after a year15 years full time education
Project Role Description : Responsible for developing and/or engineering the end-to-end features of a system, from user experience to backend code. Use development skills to deliver innovative solutions that help our clients improve the services they provide. Leverage new technologies that can be applied to solve challenging business problems with a cloud first and agile mindset.
Must have skills : Data Science, Docker Kubernetes Architecture, Prompt Engineering
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Full Stack Engineer, a typical day involves designing and building comprehensive system features that span from the user interface to the backend infrastructure. This role requires actively engaging in the entire development lifecycle, ensuring seamless integration and functionality. The engineer collaborates with various teams to implement innovative solutions that address complex business challenges, embracing a cloud-first approach and agile methodologies to enhance client services and system performance.
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with cross-functional teams to ensure alignment of project goals and deliverables.
- Continuously evaluate and integrate emerging technologies to improve system efficiency and scalability.
- Assist junior team members by sharing knowledge and providing guidance to support their professional growth.
Designs, develops, and deploys AI/ML solutions including predictive models, NLP applications, computer vision, and generative AI. Builds end-to-end ML pipelines, integrates models via APIs, implements MLOps practices, and ensures responsible AI (fairness, explainability, bias detection). Collaborates with data scientists and engineers to move prototypes to production. Mentors junior developers.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Science, Docker Kubernetes Architecture, Prompt Engineering.
Python & AI/ML ecosystem: TensorFlow, PyTorch, scikit-learn, Hugging Face, LangChain
Cloud AI/ML: Azure ML, Azure OpenAI, AWS SageMaker, or GCP Vertex AI
MLOps: MLflow, Kubeflow, Azure ML Pipelines
Generative AI: LLMs, RAG, prompt engineering, vector DBs
Docker & Kubernetes CI/CD pipelines
RESTful API & microservices development
Deep learning architectures (CNNs, RNNs, Transformers, GANs)
Good to have :
Data manipulation: Pandas, NumPy, Spark, SQL
Experience in pharma/healthcare/life sciences
Master's or Ph.D. in AI/ML/CS
- Experience with programming languages and frameworks commonly used in full stack development.
- Strong understanding of cloud computing principles and deployment strategies.
- Ability to design scalable and maintainable system architectures.
- Familiarity with agile development practices and continuous integration/continuous deployment pipelines.
Additional Information:
- The candidate should have minimum 2 years of experience in Data Science.
- This position is based at our Pune office.
- A 15 years full time education is required.
Required Cert (one of):
Azure AI Engineer Associate
AWS Certified ML – Specialty
Preferred Certs:
Google Professional ML Engineer
NVIDIA DLI Certification
Stanford/DeepLearning.AI ML/DL Certificate
Resource should work from Pune only
Should work in Shift B
Resource should visit client office 3 times a week
Resource will be will work on CENCORA payroll after a year15 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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