Social Media Manager - Video Editor

About the Role

The PMO Manager You will oversee resource allocation, financial project controlling, and overall delivery management. Your goal is to ensure the right people are on the right projects at the right time, ensuring that budgets are respected and delivery timelines are met.

Key Responsibilities

• Resource Orchestration: Manage workload, vacation planning, and project assignments for the entire team.
• Project Controlling: Monitor project budgets and delivery milestones to ensure financial health.
• Agile Integration: Attend daily Scrums to gain real-time transparency into team capacity and roadblocks.
• Dynamic Re-allocation: Quickly shift resources between projects based on shifting priorities and daily insights.
• Skill Management: Track team skillsets, identify "skill gaps," and plan for training or new staffing needs.
• Strategic Oversight: Participate in Steering Committee (SteerCo) meetings to report on delivery status.

Requires Technical Skills

• Project Management Tools: Strong proficiency in Azure DevOps, Jira, or similar task-tracking platforms.
• Reporting & Analysis: Advanced skills in MS Excel (for budgeting/controlling) and MS Project.
• Communication Suite: Mastery of MS Teams, PowerPoint, and Word for stakeholder reporting.
• D365 Exposure: Familiarity with Dynamics CRM environments is highly preferred to understand the project landscape.

Qualification & Preferred

• Education: Degree in IT, Business, Engineering, or equivalent professional training.
• Experience: Proven track record in a PMO role is mandatory. Must have experience in project controlling and process optimization.
• Good to Have: Professional project management
• Process Knowledge: Deep understanding of the Project Life Cycle (PLC) and Software Development Life Cycle (SDLC).

Job Description:

1.     Machine Learning Development & Deployment

·      Design and implement supervised and unsupervised models for predictive analytics, including churn prediction, demand forecasting, renewal risk scoring, and cross sell/upsell opportunity identification.

·      Translate business problems into ML frameworks and production solutions that improve efficiency, revenue, or customer experience.

·      Build, optimize, and maintain ML pipelines using tools such as MLflow, Airflow, or Kubeflow.

2.     Cross-Functional ML Use Cases

·      Partner with teams across Sales (e.g., lead scoring, next-best action), Customer Service (e.g., case deflection, sentiment analysis), Finance (e.g., revenue forecasting, fraud detection), Supply Chain (e.g., inventory optimization, ETA prediction), and Order Fulfillment (e.g., delivery risk modeling) to define impactful ML use cases.

·      Develop domain-specific models and continuously improve them using feedback loops and real-world performance data. 3.

3.      Model Governance and MLOps

·      Ensure robust model monitoring, versioning, and retraining strategies to keep models reliable in dynamic environments.

·      Work closely with DevOps and Data Engineering teams to automate deployment, CI/CD workflows, and cloud-native ML infrastructure (AWS/GCP/Azure).

4. Data Engineering and Feature Architecture

·      Collaborate with data engineers to define feature stores, data quality checks, and model-ready datasets on platforms like Snowflake or Databricks.

·      Perform feature selection, transformation, and engineering aligned with each domain’s business logic. 5. Communication & Stakeholder Collaboration

·      Present technical insights and model results to business and executive stakeholders in a clear, actionable format.

·      Work with Product Owners and Program Managers to scope, prioritize, and plan delivery of ML projects.

Qualifications:

Required

• Bachelor’s or Master’s degree in (e.g., Computer Science, Engineering, Statistics, Mathematics)

• 4+ years of experience in machine learning, data science.

• Proficiency in Python, XGBoost, PyTorch, TensorFlow, or similar.

• Experience deploying models into production using ML pipelines and orchestration frameworks.

• Strong understanding of data structures, SQL, and cloud platforms (e.g., AWS SageMaker, Azure ML, or GCP Vertex AI).

• Hands-on experience in implementing machine learning algorithms such as Random Forest, XGBoost, Logistic Regression, and Deep Learning techniques including Neural Networks (ANN, CNN)

Preferred:

• Experience supporting business functions such as Finance, Sales, or Operations with ML use cases.

• Familiarity with MLOps tools (MLflow, SageMaker Pipelines, Feature Store).

• Exposure to enterprise data platforms (e.g., Snowflake, Oracle Fusion, Salesforce).

• Background in statistics, forecasting, optimization, or recommendation systems.

• Bachelor's degree in finance or related field.
• 2+ years of experience in mortgage processing.
• Excellent mathematical and statistical aptitude.
• Analytical mindset.
• Good written and verbal communication.
• Good organizational skills.
• Exceptional interpersonal skills.
• Attention to detail.

About us

Blitz is into Instant Logistics in Southeast Asia. Blitz was founded in the year 2021. It is in the business of delivering orders using EV bikes. Blitz not only delivers instant orders through EV Bikes, but it also finances the EV bikes to the drivers on lease and generates another source of revenue from the leasing as well apart from delivery charges. Blitz is revolutionizing instant coordination with the help of advanced technology-based solutions. It is a product-driven company and uses modern technologies to build products that solve problems in EV-based Logistics. Blitz is utilizing data sources coming from the EV bikes through IOT and smart engines to make technology-driven decisions to create a delightful experience for consumers

About the Role

We are seeking an experienced Data Engineer to join our dynamic team. The Data Engineer will be responsible for designing, developing, and maintaining scalable data pipelines and infrastructure to support our data-driven initiatives. The ideal candidate will have a strong background in software engineering, database management, and data architecture, with a passion for building robust and efficient data systems

What you will do

1. Design, build, and maintain scalable data pipelines and infrastructure to ingest, process, and analyze large volumes of structured and unstructured data.
2. Collaborate with cross-functional teams to understand data requirements and develop solutions to meet business needs.
3. Optimise data processing and storage solutions for performance, reliability, and cost-effectiveness.
4. Implement data quality and validation processes to ensure accuracy and consistency of data. 
5. Monitor and troubleshoot data pipelines to identify and resolve issues in time.
6. Stay updated on emerging technologies and best practices in data engineering and recommend innovations to enhance our data infrastructure.
7. Document data pipelines, workflows, and infrastructure to facilitate knowledge sharing and ensure maintainability.
8. Create Data Dashboards from the datasets to visualize different data requirements

What we need

1. Bachelor's degree or higher in Computer Science, Engineering, or a related field.
2. Proven experience as a Data Engineer or similar role, with expertise in building and maintaining data pipelines and infrastructure.
3. Proficiency in programming languages such as Python, Java, or Scala.
4. Strong knowledge of database systems (e.g., SQL, NoSQL, BigQuery) and data warehousing concepts.
5. Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
6. Familiarity with data processing frameworks and tools (e.g., Apache, Spark, Hadoop, Kafka).
7. Excellent problem-solving skills and attention to detail.
8. Strong communication and collaboration skills.

Preferred Qualifications

1. Advanced degree in Computer Science, Engineering, or related field.
2. Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes).
3. Knowledge of machine learning and data analytics concepts.
4. Experience with DevOps practices and tools.
5. Certifications in relevant technologies (e.g., AWS Certified Big Data Specialty, Google Professional Data Engineer).

Please refer to the Company’s website - https://rideblitz.com/

• Extensive experience in designing & supporting Azure Managed Services Operations.  
• Maintaining the Azure Active Directory and Azure AD authentication. 
• Azure update management – Handling updates/Patching. 
• Good understanding of Azure services (Azure App Service, Azure SQL,  Azure Storage Account..etc). 
• Understanding of load balancers, DNS, virtual networks, NSG and firewalls in cloud environment. 
• ARM templates writing, setup automation for resources provisioning. 
• Knowledge on Azure automation and Automation Desire State Configuration. 
• Good understanding of High Availability and Auto scaling. 
• Azure Backups and ASR (Azure Site Recovery) 
• Azure Monitoring and Configuration monitoring (performance metrics, OMS) 
• Cloud Migration Experience(On premise to Cloud). 
• PowerShell scripting for custom tasks automation. 
• Strong experience in configuring, maintaining, and troubleshooting Microsoft based production systems. 
  
  Certification: 
  
  Azure Administrator (AZ-103) & Azure Architect (AZ-300 & AZ-301) 

Task:

• Make documentations with formatting and in proper detailing
• Basic knowledge on Excel working with formula handling & reporting.
• Need to do multitasking, able to deliver tasks on time with expected quality
• Candidate should have thinking out of the box which supports the department to deliver good results in the pre-defined processes.
• Needs to be quick learner and able to come up with own thoughts on the tasks explained/shared to deliver good results
• Work closely with German team for operative processes/execution/deliverables.
• Flexible to adopt the changes in terms of processes/task handling.
• Knowledge on order fulfillment processes, managing support content on the website, inputs on support handling processes are added advantage.

We wish:

• At least bachelor in any stream or equivalent experience
• At least 1 year of experience in MS-Excel or similar office tools – is preferred
• Knowledge on VB script, macros is preferred
• Documentation skills
• Good Communication skills, at least speaking in English is required
• Good analytical skills
• Eager to know/experiment new technology and tools
• Web Browsing , ability to search quick results from web
• Experience on process documentation & presentation is preferred
• Ability to work independently with little or no daily supervision
• Out of box thinking and quick learner with willingness to learn new things

We Offer:

• Freedom to realise your own ideas & individual career & development opportunity.
• A motivating work environment, flat hierarchical structure, numerous company events which cannot be forgotten and fun at work place with flexibilities.
• Professional challenges and career development opportunities.

• 5-7 years of relevant product design, development and testing experience
• Strong technical skills in java springboot/MVC frameworks, reactjS. API development, Cloud native solutions like lambda, azure functions is good to have.
• Database – primarily Mongo DB, Knowledge of postgres /MySQL is good to have
• DevOps - Knowledge of DevOps will be good to have
• API - Preferred experience with one of API gateway platform (Apigee, Mulesoft, Kong, WSO2)
• Good communication skills, with an ability to express and understand complex technical concepts.
• Strong analytical, problem-solving, and conceptual skills.
• Ability to work under pressure and meet tight deadlines.
• Experience of working with globally distributed teams.
• Innovative and Self learner for mentoring and problem resolutions.
• Ability to mentor and manage product teams

• Minimum 7 years of Manual and automation experience.
• Experience of testing Application hosted over Cloud for various platform and OS.
• Web and Mobile testing expertise
• Experience on Agile and Scrum methodology

• To be responsible for effectively converting US into manual/Automation test cases for WEB and Mobile apps as per the coding standards.
• Expert in Database
• Help other team members on writing and reviewing test cases and provide sufficient help for any blocker.
• Certified as ready for release to Production follow all necessary test phases and meet the pre-agreed quality standards.
• Creates traceability records, from test cases back to requirements
• Work closely with Automation team members to understand automation progress and take ownership of analyzing any failures are there
• Provides regular quality reports on test progress, anomalies, risks and issues associated with project testing