Requirements:
Strong experience developing Cloud-based solutions, including frontend, and backend technologies.
Experience with cloud platforms – AWS, Azure.
Strong proficiency in programming languages – TypeScript, Python, C, C#, C++.
Proficient in JavaScript, HTML, CSS; frontend frameworks – React, Angular.
Strong experience in RESTful API development with backend frameworks – Node.js, FastAPI, Django.
Strong experience with AWS Services – Cognito, IAM, APIG, EC2, S3, RDS, DynamoDB, Lambda, and VPC.
Experience with database design and development – SQL, NoSQL, or Graph databases.
Additional Requirements:
Experience using infrastructure as a code – CloudFormation, CDK, Terraform.
Experience in serverless development.
Experience with Containerization and Container orchestration – Docker, Kubernetes.
Knowledge of Network Protocols – TCP/IP, MQTT, WSS, HTTPS.
Experience with DevOps tools like Jenkins, Ansible, GitHub Actions, and Azure DevOps.
Knowledge of network security principles, firewall configurations, and SSL/TLS certificates.
Experience with Industrial IoT.
Key Responsibilities:
Design, Develop and maintain software solutions across the entire software stack and products.
Cross-functional collaboration with business and engineering teams, turning requirements into realizable solutions, deliveries, and support.
Self-motivated and driven to continually improve.
Ability to communicate effectively, both written and verbal
Design and develop scalable, reliable, and secure software applications for products.
Participate in the design and code review process to ensure high-quality code is being produced.
Produce high-quality code that is maintainable, testable, and adheres to software best practices.
Debug and troubleshoot issues across the entire software stack and overall product.
Develop and maintain documentation for software applications and products.
Optimize application performance for maximum speed and scalability.
Mentor and provide technical guidance to other engineers.
Responsibilities
Requirements:
Strong experience developing Cloud-based solutions, including frontend, and backend technologies.
Experience with cloud platforms – AWS, Azure.
Strong proficiency in programming languages – TypeScript, Python, C, C#, C++.
Proficient in JavaScript, HTML, CSS; frontend frameworks – React, Angular.
Strong experience in RESTful API development with backend frameworks – Node.js, FastAPI, Django.
Strong experience with AWS Services – Cognito, IAM, APIG, EC2, S3, RDS, DynamoDB, Lambda, and VPC.
Experience with database design and development – SQL, NoSQL, or Graph databases.
Additional Requirements:
Experience using infrastructure as a code – CloudFormation, CDK, Terraform.
Experience in serverless development.
Experience with Containerization and Container orchestration – Docker, Kubernetes.
Knowledge of Network Protocols – TCP/IP, MQTT, WSS, HTTPS.
Experience with DevOps tools like Jenkins, Ansible, GitHub Actions, and Azure DevOps.
Knowledge of network security principles, firewall configurations, and SSL/TLS certificates.
Experience with Industrial IoT.
Key Responsibilities:
Design, Develop and maintain software solutions across the entire software stack and products.
Cross-functional collaboration with business and engineering teams, turning requirements into realizable solutions, deliveries, and support.
Self-motivated and driven to continually improve.
Ability to communicate effectively, both written and verbal
Design and develop scalable, reliable, and secure software applications for products.
Participate in the design and code review process to ensure high-quality code is being produced.
Produce high-quality code that is maintainable, testable, and adheres to software best practices.
Debug and troubleshoot issues across the entire software stack and overall product.
Develop and maintain documentation for software applications and products.
Optimize application performance for maximum speed and scalability.
Mentor and provide technical guidance to other engineers.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Requirements:
Strong experience developing Cloud-based solutions, including frontend, and backend technologies.
Experience with cloud platforms – AWS, Azure.
Strong proficiency in programming languages – TypeScript, Python, C, C#, C++.
Proficient in JavaScript, HTML, CSS; frontend frameworks – React, Angular.
Strong experience in RESTful API development with backend frameworks – Node.js, FastAPI, Django.
Strong experience with AWS Services – Cognito, IAM, APIG, EC2, S3, RDS, DynamoDB, Lambda, and VPC.
Experience with database design and development – SQL, NoSQL, or Graph databases.
Additional Requirements:
Experience using infrastructure as a code – CloudFormation, CDK, Terraform.
Experience in serverless development.
Experience with Containerization and Container orchestration – Docker, Kubernetes.
Knowledge of Network Protocols – TCP/IP, MQTT, WSS, HTTPS.
Experience with DevOps tools like Jenkins, Ansible, GitHub Actions, and Azure DevOps.
Knowledge of network security principles, firewall configurations, and SSL/TLS certificates.
Experience with Industrial IoT.
Key Responsibilities:
Design, Develop and maintain software solutions across the entire software stack and products.
Cross-functional collaboration with business and engineering teams, turning requirements into realizable solutions, deliveries, and support.
Self-motivated and driven to continually improve.
Ability to communicate effectively, both written and verbal
Design and develop scalable, reliable, and secure software applications for products.
Participate in the design and code review process to ensure high-quality code is being produced.
Produce high-quality code that is maintainable, testable, and adheres to software best practices.
Debug and troubleshoot issues across the entire software stack and overall product.
Develop and maintain documentation for software applications and products.
Optimize application performance for maximum speed and scalability.
Mentor and provide technical guidance to other engineers.
Responsibilities
Requirements:
Strong experience developing Cloud-based solutions, including frontend, and backend technologies.
Experience with cloud platforms – AWS, Azure.
Strong proficiency in programming languages – TypeScript, Python, C, C#, C++.
Proficient in JavaScript, HTML, CSS; frontend frameworks – React, Angular.
Strong experience in RESTful API development with backend frameworks – Node.js, FastAPI, Django.
Strong experience with AWS Services – Cognito, IAM, APIG, EC2, S3, RDS, DynamoDB, Lambda, and VPC.
Experience with database design and development – SQL, NoSQL, or Graph databases.
Additional Requirements:
Experience using infrastructure as a code – CloudFormation, CDK, Terraform.
Experience in serverless development.
Experience with Containerization and Container orchestration – Docker, Kubernetes.
Knowledge of Network Protocols – TCP/IP, MQTT, WSS, HTTPS.
Experience with DevOps tools like Jenkins, Ansible, GitHub Actions, and Azure DevOps.
Knowledge of network security principles, firewall configurations, and SSL/TLS certificates.
Experience with Industrial IoT.
Key Responsibilities:
Design, Develop and maintain software solutions across the entire software stack and products.
Cross-functional collaboration with business and engineering teams, turning requirements into realizable solutions, deliveries, and support.
Self-motivated and driven to continually improve.
Ability to communicate effectively, both written and verbal
Design and develop scalable, reliable, and secure software applications for products.
Participate in the design and code review process to ensure high-quality code is being produced.
Produce high-quality code that is maintainable, testable, and adheres to software best practices.
Debug and troubleshoot issues across the entire software stack and overall product.
Develop and maintain documentation for software applications and products.
Optimize application performance for maximum speed and scalability.
Mentor and provide technical guidance to other engineers.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
"1. .Net Core, C#, Web API
2. Database – SQL Server
3. Knowledge of DevOps, Containers, CI/CD
4. Knowledge of Azure Cloud
5. Agile Methods and Test Driven Development
6. Strong analytical, problem-solving, and troubleshooting skills
7. Knowledge of Angular 10+ is a plus"
Responsibilities
"1. .Net Core, C#, Web API
2. Database – SQL Server
3. Knowledge of DevOps, Containers, CI/CD
4. Knowledge of Azure Cloud
5. Agile Methods and Test Driven Development
6. Strong analytical, problem-solving, and troubleshooting skills
7. Knowledge of Angular 10+ is a plus"
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
Team Center Project/Program Manager Job description: DTICI is seeking a Team Center Project/Program Manager for the design, build, implementation, and support of Daimler Truck’s Global PDM Integrations. Responsibilities include analyzing business need, gathering business requirements, leading solution design teams, implementing solution(s), and recommending best practice methods. Responsibilities • Co-ordinate to build solutions to meet business processes and requirements Gather requirements, Create solution proposals and Functional specification documentation. • Atleast one team center implementation experience • Work closely with Business/Solution Architects/Developers and support them for drawing estimates, developing prototypes, and implementing quality solutions. • Coordinate support activities and identify solutions for complex issues. • Design integrations in line with the system footprint in the organization Requirements • Good understanding of the Software development process (Agile) and Verification and Validation process • Excellent knowledge of Scrum techniques and artifacts (such as definition of done, user stories, automated testing, backlog refinement) • Drive, develop and maintain project deliverables that support the project deliverables (including functional and non-functional requirements) • Good knowledge of other Agile frameworks SAFE and Familiar with Azure devops or similar tool and its application in agile project management. • Experience working with more than one team Experience with offshore and distributed teams • Work with product owners to handle backlogs and new requests • Must be certified Scrum Master/ SAFE scrum master
Responsibilities
Team Center Project/Program Manager Job description: DTICI is seeking a Team Center Project/Program Manager for the design, build, implementation, and support of Daimler Truck’s Global PDM Integrations. Responsibilities include analyzing business need, gathering business requirements, leading solution design teams, implementing solution(s), and recommending best practice methods. Responsibilities • Co-ordinate to build solutions to meet business processes and requirements Gather requirements, Create solution proposals and Functional specification documentation. • Atleast one team center implementation experience • Work closely with Business/Solution Architects/Developers and support them for drawing estimates, developing prototypes, and implementing quality solutions. • Coordinate support activities and identify solutions for complex issues. • Design integrations in line with the system footprint in the organization Requirements • Good understanding of the Software development process (Agile) and Verification and Validation process • Excellent knowledge of Scrum techniques and artifacts (such as definition of done, user stories, automated testing, backlog refinement) • Drive, develop and maintain project deliverables that support the project deliverables (including functional and non-functional requirements) • Good knowledge of other Agile frameworks SAFE and Familiar with Azure devops or similar tool and its application in agile project management. • Experience working with more than one team Experience with offshore and distributed teams • Work with product owners to handle backlogs and new requests • Must be certified Scrum Master/ SAFE scrum master
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
