As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing solutions that align with business objectives, and ensuring that applications are optimized for performance and usability. You will also engage in problem-solving activities, providing support and enhancements to existing applications while maintaining a focus on quality and efficiency.
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 capabilities.
- Monitor project progress and ensure timely delivery of milestones.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in SAP ABAP Development for HANA.
- Strong understanding of application design principles and methodologies.
- Experience with database management and optimization techniques.
- Familiarity with integration tools and techniques for SAP environments.
- Ability to troubleshoot and resolve application issues efficiently.
Additional Information:
- The candidate should have minimum 5 years of experience in SAP ABAP Development for HANA.
- This position is based at our Hyderabad office.
- A 15 years full time education is required."
Responsibilities
As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing solutions that align with business objectives, and ensuring that applications are optimized for performance and usability. You will also engage in problem-solving activities, providing support and enhancements to existing applications while maintaining a focus on quality and efficiency.
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 capabilities.
- Monitor project progress and ensure timely delivery of milestones.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in SAP ABAP Development for HANA.
- Strong understanding of application design principles and methodologies.
- Experience with database management and optimization techniques.
- Familiarity with integration tools and techniques for SAP environments.
- Ability to troubleshoot and resolve application issues efficiently.
Additional Information:
- The candidate should have minimum 5 years of experience in SAP ABAP Development for HANA.
- This position is based at our Hyderabad office.
- A 15 years full time education is required."
Salary : Rs. 0.0 - Rs. 2,00,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Skill Required: Digital : Machine Learning~Digital : Azure Machine Learning (ML)
Experience Range in Required Skills: 6-8yrs
Project Duration: 6 months
Job Description: Machine learning
"Essential Skills: 1) Proficiency in programming languages such as Python
2) Good Understanding of ML Ops and AI Ops.
3) Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
4) Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization tools (e.g., Docker, Kubernetes
5) Knowledge of CI/CD pipelines and tools (e.g., Jenkins, GitLab CI)."
Technical Skills
· Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
· Experience with cloud platforms (Azure, AWS, GCP).
· Familiarity with container orchestration (Kubernetes) and CI/CD tools.
· Understanding of data engineering and ETL processes
Key Responsibilities
· Model Deployment & Automation
o Design scalable and reliable pipelines for deploying ML models.
o Automate training, testing, and deployment processes to reduce manual intervention
· Monitoring & Maintenance
o Monitor model performance, identify issues, and implement retraining strategies.
o Ensure reproducibility, auditability, and governance across ML workflows
.
· Infrastructure & DevOps Integration
o Manage cloud and on-prem infrastructure (Azure, AWS, GCP).
o Implement CI/CD pipelines using Jenkins, GitHub, and containerisation tools like Docker and Kubernetes
.
· Collaboration & Feedback
o Work closely with data scientists to understand model requirements and provide feedback on scalability and performance
· Security & Compliance
o Ensure all MLOps processes meet enterprise security and compliance standards
Responsibilities
Skill Required: Digital : Machine Learning~Digital : Azure Machine Learning (ML)
Experience Range in Required Skills: 6-8yrs
Project Duration: 6 months
Job Description: Machine learning
"Essential Skills: 1) Proficiency in programming languages such as Python
2) Good Understanding of ML Ops and AI Ops.
3) Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
4) Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization tools (e.g., Docker, Kubernetes
5) Knowledge of CI/CD pipelines and tools (e.g., Jenkins, GitLab CI)."
Technical Skills
· Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
· Experience with cloud platforms (Azure, AWS, GCP).
· Familiarity with container orchestration (Kubernetes) and CI/CD tools.
· Understanding of data engineering and ETL processes
Key Responsibilities
· Model Deployment & Automation
o Design scalable and reliable pipelines for deploying ML models.
o Automate training, testing, and deployment processes to reduce manual intervention
· Monitoring & Maintenance
o Monitor model performance, identify issues, and implement retraining strategies.
o Ensure reproducibility, auditability, and governance across ML workflows
.
· Infrastructure & DevOps Integration
o Manage cloud and on-prem infrastructure (Azure, AWS, GCP).
o Implement CI/CD pipelines using Jenkins, GitHub, and containerisation tools like Docker and Kubernetes
.
· Collaboration & Feedback
o Work closely with data scientists to understand model requirements and provide feedback on scalability and performance
· Security & Compliance
o Ensure all MLOps processes meet enterprise security and compliance standards
Salary : Rs. 70,000.0 - Rs. 1,30,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
