5+experience in data engineering, data operations, IT, analytics teams or equivalent required.
3+experience in designing, engineering, and implementing cloud data solutions, collaborating with the business to build enterprise scale data solutions to support machine learning, artificial intelligence and analytics required.
3+of cloud data development solutions, PaaS, SaaS, IaaS, Serverless, Data Orchestration, API Management, microservice frameworks, container orchestration required.
2+ experience with SAFe agile for cloud data engineering and transformation required.
Responsibilities
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
1. Develop and implement machine learning algorithms and models.
2. Collaborate with cross-functional teams to understand project requirements and deliver scalable ML solutions.
3. Clean, preprocess, and analyze large datasets to extract meaningful insights.
4. Fine-tune models using techniques such as hyperparameter tuning and cross-validation.
5. Deploy machine learning models into production environments.
6. Monitor model performance and make necessary adjustments to ensure optimal functionality.
7. Stay updated with the latest advancements in machine learning techniques and technologies including Gen AI.
8. Communicate complex technical concepts and findings to non-technical stakeholders effectively. Additional Skills:
- Strong communication skills to collaborate effectively with team members and stakeholders.
- Ability to work independently and manage multiple tasks simultaneously.
- Flexibility to adapt to changing project requirements and priorities.
- Creative thinking to develop innovative solutions to complex problems.
- Attention to detail to ensure accuracy and reliability of machine learning models.
- Continuous learning mindset to stay updated with emerging technologies and best practices in the field of machine learning and data science.
- Proficiency in Python programming language is must for machine learning and data analysis.
- Strong understanding of machine learning concepts such as supervised and unsupervised learning, time series forecasting, feature engineering, model evaluation, etc.
- Hands-on experience with machine learning libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, etc.
- Solid understanding of software development practices including version control (e.g., Git), code review, and testing.
- Excellent problem-solving and analytical skills.
- Familiarity with deep learning architectures and frameworks.
- Experience with natural language processing (NLP) techniques and libraries.
- Knowledge of cloud platforms such as AWS, Azure, or Google Cloud or Streamlit for deploying and managing machine learning models.
- Experience in building and deploying containerized applications using Docker or Kubernetes.
- Familiarity with SQL and NoSQL databases for data manipulation and querying.
- Experience in working with distributed computing environments.
- Strong mathematical background including linear algebra, calculus, and statistics.
Responsibilities
1. Develop and implement machine learning algorithms and models.
2. Collaborate with cross-functional teams to understand project requirements and deliver scalable ML solutions.
3. Clean, preprocess, and analyze large datasets to extract meaningful insights.
4. Fine-tune models using techniques such as hyperparameter tuning and cross-validation.
5. Deploy machine learning models into production environments.
6. Monitor model performance and make necessary adjustments to ensure optimal functionality.
7. Stay updated with the latest advancements in machine learning techniques and technologies including Gen AI.
8. Communicate complex technical concepts and findings to non-technical stakeholders effectively. Additional Skills:
- Strong communication skills to collaborate effectively with team members and stakeholders.
- Ability to work independently and manage multiple tasks simultaneously.
- Flexibility to adapt to changing project requirements and priorities.
- Creative thinking to develop innovative solutions to complex problems.
- Attention to detail to ensure accuracy and reliability of machine learning models.
- Continuous learning mindset to stay updated with emerging technologies and best practices in the field of machine learning and data science.
- Proficiency in Python programming language is must for machine learning and data analysis.
- Strong understanding of machine learning concepts such as supervised and unsupervised learning, time series forecasting, feature engineering, model evaluation, etc.
- Hands-on experience with machine learning libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, etc.
- Solid understanding of software development practices including version control (e.g., Git), code review, and testing.
- Excellent problem-solving and analytical skills.
- Familiarity with deep learning architectures and frameworks.
- Experience with natural language processing (NLP) techniques and libraries.
- Knowledge of cloud platforms such as AWS, Azure, or Google Cloud or Streamlit for deploying and managing machine learning models.
- Experience in building and deploying containerized applications using Docker or Kubernetes.
- Familiarity with SQL and NoSQL databases for data manipulation and querying.
- Experience in working with distributed computing environments.
- Strong mathematical background including linear algebra, calculus, and statistics.
Salary : Rs. 12.0 - Rs. 18.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Job Description:
Help customers of the data streaming platform to onboard, publish and consume events.
Monitor and troubleshoot issues reported by our automation, alerts or customers.
Collaborate with the team to automate components and processes, streamlining data movement and improving efficiency.
Support senior engineers in testing activities, ensuring the reliability and quality of the implemented solutions.
Contribute to documentation efforts, documenting design specifications and development guidelines.
Participate in code reviews, providing feedback and suggestions to improve code quality and maintainability.
Gain familiarity with relevant technologies and tools used in metadata activation and data management.
Collaborate with team members to deliver assigned tasks within the specified timeframe.
Assist in the design and implementation of metadata activation solutions in alignment with Data Mesh and Data Fabric principles.
Responsibilities
Job Description:
Help customers of the data streaming platform to onboard, publish and consume events.
Monitor and troubleshoot issues reported by our automation, alerts or customers.
Collaborate with the team to automate components and processes, streamlining data movement and improving efficiency.
Support senior engineers in testing activities, ensuring the reliability and quality of the implemented solutions.
Contribute to documentation efforts, documenting design specifications and development guidelines.
Participate in code reviews, providing feedback and suggestions to improve code quality and maintainability.
Gain familiarity with relevant technologies and tools used in metadata activation and data management.
Collaborate with team members to deliver assigned tasks within the specified timeframe.
Assist in the design and implementation of metadata activation solutions in alignment with Data Mesh and Data Fabric principles.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Description:
-We are looking someone who have minimum 5+ experience in SQL/PLSQL.
-Real time experience in Python API Development, preferably fast APIs
- 4+ years of experience in Python
-Good exposure to AWS with basic services like S3, API, Lambda etc.
Responsibilities
Description:
-We are looking someone who have minimum 5+ experience in SQL/PLSQL.
-Real time experience in Python API Development, preferably fast APIs
- 4+ years of experience in Python
-Good exposure to AWS with basic services like S3, API, Lambda etc.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Data Annotation Specialist with a strong background of data analysis and with a burgeoning interest in image processing, meticulous approach to ensuring accurate and high-quality annotated datasets.
Proficient in annotation tools, detail and a commitment to maintaining data integrity. Skills in data annotation while exploring the dynamic realm of image processing.
Image processing techniques to contribute to cutting-edge projects at the intersection of data annotation and visual data analysis. Eager to collaborate with teams that value precision and innovation in the ever-evolving landscape of data science.
Skills
Python
Data Annotation
OpenCV
Basics of machine learning
Deep learning basics
Responsibilities
Data Annotation Specialist with a strong background of data analysis and with a burgeoning interest in image processing, meticulous approach to ensuring accurate and high-quality annotated datasets.
Proficient in annotation tools, detail and a commitment to maintaining data integrity. Skills in data annotation while exploring the dynamic realm of image processing.
Image processing techniques to contribute to cutting-edge projects at the intersection of data annotation and visual data analysis. Eager to collaborate with teams that value precision and innovation in the ever-evolving landscape of data science.
Skills
Python
Data Annotation
OpenCV
Basics of machine learning
Deep learning basics
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
5+experience in data engineering, data operations, IT, analytics teams or equivalent required.
3+experience in designing, engineering, and implementing cloud data solutions, collaborating with the business to build enterprise scale data solutions to support machine learning, artificial intelligence and analytics required.
3+of cloud data development solutions, PaaS, SaaS, IaaS, Serverless, Data Orchestration, API Management, microservice frameworks, container orchestration required.
2+ experience with SAFe agile for cloud data engineering and transformation required.
Responsibilities
5+experience in data engineering, data operations, IT, analytics teams or equivalent required.
3+experience in designing, engineering, and implementing cloud data solutions, collaborating with the business to build enterprise scale data solutions to support machine learning, artificial intelligence and analytics required.
3+of cloud data development solutions, PaaS, SaaS, IaaS, Serverless, Data Orchestration, API Management, microservice frameworks, container orchestration required.
2+ experience with SAFe agile for cloud data engineering and transformation required.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Responsibilities
• Design and implement infrastructure as code using Terraform.
• Collaborate with the DevOps team to ensure infrastructure is highly available, scalable, and secure.
• Troubleshoot and resolve issues related to infrastructure as code.
• Automate infrastructure provisioning and configuration using Terraform.
• Maintain and enhance existing Terraform codebase.
• Develop and implement best practices for infrastructure as code.
• Continuously improve the infrastructure using the latest technologies and industry best practices.
• Document infrastructure code and processes.
• Experience with Azure & GCP is a must.
Skills, Qualifications and education requirements
• At least 3 years of experience in Terraform development.
• Strong experience with infrastructure as code.
• Deep understanding of cloud technologies (Azure & Google Cloud Platform).
• Experience with CI/CD tools such as AzureDevOps.
• Strong scripting skills (Bash, Python, etc.).
• Excellent problem-solving skills and attention to detail.
• Ability to work collaboratively in a team environment.
• Strong communication and documentation skills.
• At least 3 years of experience in Terraform development.
• Strong experience with infrastructure as code.
• Deep understanding of cloud technologies (Azure & Google Cloud Platform).
• Experience with CI/CD tools such as AzureDevOps.
• Strong scripting skills (Bash, Python, etc.).
• Excellent problem-solving skills and attention to detail.
• Ability to work collaboratively in a team environment.
• Strong communication and documentation skills.
• At least 3 years of experience in Terraform development.
• Strong experience with infrastructure as code.
• Deep understanding of cloud technologies (Azure & Google Cloud Platform).
• Experience with CI/CD tools such as AzureDevOps.
• Strong scripting skills (Bash, Python, etc.).
• Excellent problem-solving skills and attention to detail.
• Ability to work collaboratively in a team environment.
• Strong communication and documentation skills.
Responsibilities
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
