Account Manager-Application Development-Business Intelligence
Hybrid Noida Full-time Manager Account Management
At a glance
Mid-level Account Management role at Fa Ewjt Saasfaprod1. Noida · full-time.
Pay not stated
RoleAccount Management
SeniorityManager
LocationNoida
WorkplaceHybrid
EmploymentFull-time
PostedDec 3, 2025 · 9mo ago
Role brief
Growth Roles summary, based on the employer's posting.
What you'll do
- Build and deploy generative AI and machine learning solutions for enterprise clients on Azure or AWS
- Use RAG for confidential-data projects and apply deep learning to implementation work
- Talk with clients to shape solution ideas, then translate requirements into workable designs
- Test newer AI algorithms, architectures, and tools to improve model performance
- Review code, document work, and share knowledge across the delivery team
What you bring
- A computer science, engineering, or related bachelor's or master's degree
- At least nine years implementing enterprise ML or AI solutions on Azure or AWS
- Strong Python and data science capability, including large-scale data preparation, training, and evaluation
- Practical knowledge of GANs, VAEs, RAG, deep learning, and broader machine learning methods
Who this fits
This role suits someone who can work independently while contributing to cross-functional delivery and client solution discussions. You will work in a hybrid setup in Noida, India. Healthcare and life sciences project experience is a stated plus.
From the employer
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- 9years of experience in implementing ML/AI solutions for enterprise level on Azure/AWS cloud
- Strong programming skills in languages such as Python, with experience in data science
- Proficiency in generative AI techniques, including GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and related architectures
- Good understanding of machine learning concepts, algorithms, and methodologies
- Experience with data preprocessing, model training, and evaluation using large-scale datasets
- Excellent problem-solving skills and the ability to work independently as well as part of a team
- Experience in implementation of ML/AI solutions for enterprise level on Azure/AWS cloud
- Communicate effectively with clients on brainstorming the solutions
- Conduct research and development majorly on AI/ML implementations
- Implement RAG architecture for confidential data use case
- Apply deep learning techniques and machine learning experience
- Develop and implement generative AI models using state-of-the-art techniques and frameworks
- Collaborate with cross-functional teams to understand project requirements and design solutions that address business needs
- Research and experiment with new AI algorithms, architectures, and tools to improve model performance and capabilities
- Stay updated with the latest advancements in AI research and technology and contribute to the knowledge sharing within the team
- Participate in code reviews, documentation, and knowledge transfer sessions to ensure high-quality deliverables and effective collaboration
- Good to have - experience in healthcare and life sciences to relevant projects
- Hands-on with GenAI and Machine Learning experience
- Experience in implementation of ML/AI solutions for enterprise level on Azure/AWS cloud
- Communicate effectively with clients on brainstorming the solutions
- Conduct research and development majorly on AI/ML implementations
- Implement RAG architecture for confidential data use case
- Apply deep learning techniques and machine learning experience
- Develop and implement generative AI models using state-of-the-art techniques and frameworks
- Collaborate with cross-functional teams to understand project requirements and design solutions that address business needs
- Research and experiment with new AI algorithms, architectures, and tools to improve model performance and capabilities
- Stay updated with the latest advancements in AI research and technology and contribute to the knowledge sharing within the team
- Participate in code reviews, documentation, and knowledge transfer sessions to ensure high-quality deliverables and effective collaboration
- Good to have - experience in healthcare and life sciences to relevant projects
- Hands-on with GenAI and Machine Learning experience
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