Career Level - 9
Exp – 10-12 years
CTC – As per company norms
No of Positions - 1
WFO/WFH - Hybrid (primarily WFH, but will need to come to office whenever required)
Work Timings - General Shift - 9.30 a.m. to 6.30 p.m.
Work Location – Bangalore
Job Description -
Learning specialist will have the primary responsibility for the delivery of the Professional Development, Core Skills and Functional Skills training curriculum/programs. They need to have the ability to:
Manage relationships with business leadership and employees
Understand the business needs and constraints
Excellent ability to execute plans - Strong analytical skills planning and organizing capability
Demonstrate performance improvements through output and throughput measures
Strong analytical and conceptual skills
They also need to have the following skills:
Project management skills
Needs to have a good learning background, particularly soft skills professional skills
Ability to manage ambiguity
Good communication skills (written and verbal)
Good with MS Office products (PPT and Excel)
Able to navigate multiple projects concurrently
Good team player
Need to be able to manage relationship with vendors
Self-driven
Notice Period they need to serve in the project – (30 days /60 Days ) - 30 days
Responsibilities
Career Level - 9
Exp – 10-12 years
CTC – As per company norms
No of Positions - 1
WFO/WFH - Hybrid (primarily WFH, but will need to come to office whenever required)
Work Timings - General Shift - 9.30 a.m. to 6.30 p.m.
Work Location – Bangalore
Job Description -
Learning specialist will have the primary responsibility for the delivery of the Professional Development, Core Skills and Functional Skills training curriculum/programs. They need to have the ability to:
Manage relationships with business leadership and employees
Understand the business needs and constraints
Excellent ability to execute plans - Strong analytical skills planning and organizing capability
Demonstrate performance improvements through output and throughput measures
Strong analytical and conceptual skills
They also need to have the following skills:
Project management skills
Needs to have a good learning background, particularly soft skills professional skills
Ability to manage ambiguity
Good communication skills (written and verbal)
Good with MS Office products (PPT and Excel)
Able to navigate multiple projects concurrently
Good team player
Need to be able to manage relationship with vendors
Self-driven
Notice Period they need to serve in the project – (30 days /60 Days ) - 30 days
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role : Procure to Pay Accounts
Career Level - 13
Exp – Fresher (Commerce graduates only)
CTC – 21900
WFO/WFH - Hybrid
Work Timings - 5.30 pm to 2.00 am
Work Location – BDC14
Job Description - PTP Invoice Processing
Notice Period they need to serve in the project – (30 days /60 Days ) - 30 days
Responsibilities
Role : Procure to Pay Accounts
Career Level - 13
Exp – Fresher (Commerce graduates only)
CTC – 21900
WFO/WFH - Hybrid
Work Timings - 5.30 pm to 2.00 am
Work Location – BDC14
Job Description - PTP Invoice Processing
Notice Period they need to serve in the project – (30 days /60 Days ) - 30 days
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Minimum 10+ years of experience in designing, configuring, and implementing enterprise-class network solutions using Cisco, Arista and Mellanox hardware.
Expert level knowledge of troubleshooting, implementing, optimizing and testing of dynamic routing protocols such as EIGRP, OSPF, BGP and ability to interpret and resolve complex route table problem.
Knowledge of EVPN & VXLAN is highly preferred.
Network Security (L3) with primary skills on Palo Alto and Cisco Firewalls.
3+ year of Prisma Cloud Enterprise experience, or experience with a similar Cloud Security Posture Management tool.
Firewall devices optimization such as rules consolidation/fine-tuning & periodic firewall rule base review
Application Load balancers F5 Big IP LTM/GTM or Citrix NetScaler
Design and implement WLANs and other wireless networks using Cisco and Juniper MIST
Hands on experience to work in an ITIL structured organisation dealing with Incident / Change / Problem management
Basic knowledge of the tools like Wire-shark, Kentik, Prometheus or similar monitoring tools.
Knowledge on Linux OS will be an added advantage.
Experience with Saltstack/Python automation is a plus.
Responsibilities
Minimum 10+ years of experience in designing, configuring, and implementing enterprise-class network solutions using Cisco, Arista and Mellanox hardware.
Expert level knowledge of troubleshooting, implementing, optimizing and testing of dynamic routing protocols such as EIGRP, OSPF, BGP and ability to interpret and resolve complex route table problem.
Knowledge of EVPN & VXLAN is highly preferred.
Network Security (L3) with primary skills on Palo Alto and Cisco Firewalls.
3+ year of Prisma Cloud Enterprise experience, or experience with a similar Cloud Security Posture Management tool.
Firewall devices optimization such as rules consolidation/fine-tuning & periodic firewall rule base review
Application Load balancers F5 Big IP LTM/GTM or Citrix NetScaler
Design and implement WLANs and other wireless networks using Cisco and Juniper MIST
Hands on experience to work in an ITIL structured organisation dealing with Incident / Change / Problem management
Basic knowledge of the tools like Wire-shark, Kentik, Prometheus or similar monitoring tools.
Knowledge on Linux OS will be an added advantage.
Experience with Saltstack/Python automation is a plus.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Lead Onboarding Process: Own the onboarding experience for new sales clients, ensuring they are set up for success through an organized, efficient process.
Collaborate with Sales & Customer Success Teams: Work closely with sales, account managers, and other departments to ensure a seamless handoff from sales to customer success.
Develop Onboarding Programs: Create, refine, and manage onboarding programs and materials that help new clients understand the product or service and maximize its value.
Client Training and Support: Provide personalized training sessions for new clients, ensuring they understand all aspects of the product and how to leverage it to meet their needs.
Process Improvement: Continuously improve the onboarding process by gathering client feedback, identifying pain points, and recommending solutions for improvement.
Customer Satisfaction: Ensure a high level of customer satisfaction during the onboarding process by addressing issues promptly, maintaining clear communication, and managing expectations.
Track & Report Progress: Monitor the progress of new customers, keeping track of key milestones, and reporting on success metrics (e.g., time-to-value, engagement, feedback).
Cross-functional Collaboration: Work with marketing, product, and engineering teams to ensure onboarding content and resources are up to date and aligned with new product updates.
Metrics and KPIs: Establish and track KPIs and success metrics to measure the effectiveness of the onboarding program.
Responsibilities
Lead Onboarding Process: Own the onboarding experience for new sales clients, ensuring they are set up for success through an organized, efficient process.
Collaborate with Sales & Customer Success Teams: Work closely with sales, account managers, and other departments to ensure a seamless handoff from sales to customer success.
Develop Onboarding Programs: Create, refine, and manage onboarding programs and materials that help new clients understand the product or service and maximize its value.
Client Training and Support: Provide personalized training sessions for new clients, ensuring they understand all aspects of the product and how to leverage it to meet their needs.
Process Improvement: Continuously improve the onboarding process by gathering client feedback, identifying pain points, and recommending solutions for improvement.
Customer Satisfaction: Ensure a high level of customer satisfaction during the onboarding process by addressing issues promptly, maintaining clear communication, and managing expectations.
Track & Report Progress: Monitor the progress of new customers, keeping track of key milestones, and reporting on success metrics (e.g., time-to-value, engagement, feedback).
Cross-functional Collaboration: Work with marketing, product, and engineering teams to ensure onboarding content and resources are up to date and aligned with new product updates.
Metrics and KPIs: Establish and track KPIs and success metrics to measure the effectiveness of the onboarding program.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Cloud Infrastructure Management: Design, implement, and manage scalable, secure, and reliable cloud infrastructure using AWS services. Infrastructure as Code (IaC): Utilize Terraform to automate the provisioning and management of cloud resources, ensuring consistency and repeatability. CI/CD Pipeline Implementation: Develop and maintain continuous integration and continuous delivery (CI/CD) pipelines using tools like GitLab to automate the software development lifecycle. Monitoring and Optimization: Monitor cloud infrastructure performance, identify bottlenecks, and implement optimizations to improve efficiency and reduce costs. Security and Compliance: Implement security best practices and ensure compliance with industry standards and regulations. Collaboration: Work closely with development, operations, and security teams to ensure seamless integration and deployment of applications. Troubleshooting and Support: Provide support for cloud infrastructure issues, troubleshoot problems, and ensure high availability and reliability of services. Documentation and Training: Create and maintain documentation for cloud infrastructure and processes, and provide training to team members on best practices and new technologies. Terraform experience is a must.
Responsibilities
Cloud Infrastructure Management: Design, implement, and manage scalable, secure, and reliable cloud infrastructure using AWS services. Infrastructure as Code (IaC): Utilize Terraform to automate the provisioning and management of cloud resources, ensuring consistency and repeatability. CI/CD Pipeline Implementation: Develop and maintain continuous integration and continuous delivery (CI/CD) pipelines using tools like GitLab to automate the software development lifecycle. Monitoring and Optimization: Monitor cloud infrastructure performance, identify bottlenecks, and implement optimizations to improve efficiency and reduce costs. Security and Compliance: Implement security best practices and ensure compliance with industry standards and regulations. Collaboration: Work closely with development, operations, and security teams to ensure seamless integration and deployment of applications. Troubleshooting and Support: Provide support for cloud infrastructure issues, troubleshoot problems, and ensure high availability and reliability of services. Documentation and Training: Create and maintain documentation for cloud infrastructure and processes, and provide training to team members on best practices and new technologies. Terraform experience is a must.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Develop code and test case scenarios by applying relevant software craftsmanship principles and meet the acceptance criteria.
Complete the assigned learning path and contribute to daily meetings.
Deliver on all aspects of Software Development Lifecyle (SDLC) in-line with Agile and IT craftsmanship principles.
Take part in team ceremonies be it agile practices or chapter meetings.
Deliver high-quality clean code and design that can be re-used.
Actively, work with other Development teams to define and implement API's and rules for data access.
Perform bug-free release validations and produce test and defect reports.
Contribute to developing scripts, configuring quality and automating framework usage.
Run and maintain test suites with the guidance of seniors.
Support existing data models, data dictionary, data pipeline standards, storage of source, process and consumer metadata.
Responsibilities
Develop code and test case scenarios by applying relevant software craftsmanship principles and meet the acceptance criteria.
Complete the assigned learning path and contribute to daily meetings.
Deliver on all aspects of Software Development Lifecyle (SDLC) in-line with Agile and IT craftsmanship principles.
Take part in team ceremonies be it agile practices or chapter meetings.
Deliver high-quality clean code and design that can be re-used.
Actively, work with other Development teams to define and implement API's and rules for data access.
Perform bug-free release validations and produce test and defect reports.
Contribute to developing scripts, configuring quality and automating framework usage.
Run and maintain test suites with the guidance of seniors.
Support existing data models, data dictionary, data pipeline standards, storage of source, process and consumer metadata.
Salary : Rs. 0.0 - Rs. 12,00,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Description
At Daimler Truck, we change today’s transportation and create real impact together. We take responsibility around the globe and work together on making our vision become reality: Leading Sustainable Transportation. As one global team, we drive our progress and success together – everyone at Daimler Truck makes the difference. Together, we want to achieve a sustainable transportation, reduce our carbon footprint, increase safety on and off the track, develop smarter technology and attractive financial solutions. All essential, to fulfill our purpose - for all who keep the world moving. Become part of our global team: You make the difference - YOUMAKEUS We are looking for Senior Data Science Engineer for our Advanced Analytics and Big Data Team. The scope is to generate insights for data driven decision making in the After Sales/After Market domain.
Job Summary:
We are looking for a Data Scientist to lead data-driven solutions across our business, from exploratory analysis, incremental hypothesis validation, model development, deployment and monitoring. This role involves transforming complex business questions into actionable value generation insights and predictive models.
Key Responsibilities:
• Problem Definition: Partner with stakeholders to translate business goals into clear, data-focused questions and define project scope and success metrics.
• Data Collection and Preparation: Gather, clean, and preprocess data from diverse sources, ensuring quality and consistency, and engineer features to enhance model performance.
• Exploratory Data Analysis (EDA): Use statistical methods and visualization to uncover trends and validate assumptions, summarizing key insights for business alignment.
• Model Building and Evaluation: Select, train, and refine models suited to the business problem, evaluating performance with relevant metrics and documenting model assumptions.
• Deployment and Monitoring: Work with engineering teams to deploy models, establish performance monitoring, retrain as necessary, and incorporate feedback to improve accuracy.
Requirements:
• Bachelor’s/Master’s in Data Science, Statistics, Computer Science, or related field.
• Experience in end to end model development to deployment and performance monitoring.
• Strong communication skills to convey insights to technical and non-technical audiences.
Skills Needed:
Strong knowledge of Applied AI ML & Deep Learning Data Science techniques, Hardcore in ANN /Deep Learning /Machine Learning/NLP
Deep knowledge about machine learning algorithms such as tree-based methods, clustering, regression and classification, dimension reduction techniques, linear regression, Logistic regression, k-means, time series forecasting, Hypothesis testing (ANOVA, t-test, etc.), random forest, SVMs, Naive Bayes, gradient boosting, kNN, Deep learning algorithms like CNN, ANN and Reinforcement learning, Anomaly detection.
In-depth understanding of Statistical concepts e.g. Probability distributions, statistical tests, correlation analysis, descriptive statistics, kernels, ROC, F1-Score etc.
Advanced coding experience in at least one programming language (Python, Pyspark) & Strong experience in object-oriented concepts.
Good to have advanced experience in one or more of the following: Spark, Databricks, Azure technical stack
Good to have experience in model deployment to cloud/on-prem.
Good Communication & presentation skills.
Responsibilities
Description
At Daimler Truck, we change today’s transportation and create real impact together. We take responsibility around the globe and work together on making our vision become reality: Leading Sustainable Transportation. As one global team, we drive our progress and success together – everyone at Daimler Truck makes the difference. Together, we want to achieve a sustainable transportation, reduce our carbon footprint, increase safety on and off the track, develop smarter technology and attractive financial solutions. All essential, to fulfill our purpose - for all who keep the world moving. Become part of our global team: You make the difference - YOUMAKEUS We are looking for Senior Data Science Engineer for our Advanced Analytics and Big Data Team. The scope is to generate insights for data driven decision making in the After Sales/After Market domain.
Job Summary:
We are looking for a Data Scientist to lead data-driven solutions across our business, from exploratory analysis, incremental hypothesis validation, model development, deployment and monitoring. This role involves transforming complex business questions into actionable value generation insights and predictive models.
Key Responsibilities:
• Problem Definition: Partner with stakeholders to translate business goals into clear, data-focused questions and define project scope and success metrics.
• Data Collection and Preparation: Gather, clean, and preprocess data from diverse sources, ensuring quality and consistency, and engineer features to enhance model performance.
• Exploratory Data Analysis (EDA): Use statistical methods and visualization to uncover trends and validate assumptions, summarizing key insights for business alignment.
• Model Building and Evaluation: Select, train, and refine models suited to the business problem, evaluating performance with relevant metrics and documenting model assumptions.
• Deployment and Monitoring: Work with engineering teams to deploy models, establish performance monitoring, retrain as necessary, and incorporate feedback to improve accuracy.
Requirements:
• Bachelor’s/Master’s in Data Science, Statistics, Computer Science, or related field.
• Experience in end to end model development to deployment and performance monitoring.
• Strong communication skills to convey insights to technical and non-technical audiences.
Skills Needed:
Strong knowledge of Applied AI ML & Deep Learning Data Science techniques, Hardcore in ANN /Deep Learning /Machine Learning/NLP
Deep knowledge about machine learning algorithms such as tree-based methods, clustering, regression and classification, dimension reduction techniques, linear regression, Logistic regression, k-means, time series forecasting, Hypothesis testing (ANOVA, t-test, etc.), random forest, SVMs, Naive Bayes, gradient boosting, kNN, Deep learning algorithms like CNN, ANN and Reinforcement learning, Anomaly detection.
In-depth understanding of Statistical concepts e.g. Probability distributions, statistical tests, correlation analysis, descriptive statistics, kernels, ROC, F1-Score etc.
Advanced coding experience in at least one programming language (Python, Pyspark) & Strong experience in object-oriented concepts.
Good to have advanced experience in one or more of the following: Spark, Databricks, Azure technical stack
Good to have experience in model deployment to cloud/on-prem.
Good Communication & presentation skills.
Salary : Rs. 0.0 - Rs. 15,00,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
