Performance Marketing Manager

Core Responsibilities:

• The MLE will design, build, test, and deploy scalable machine learning systems, optimizing model accuracy and efficiency
• Model Development: Algorithms and architectures span traditional statistical methods to deep learning along with employing LLMs in modern frameworks.
• Data Preparation: Prepare, cleanse, and transform data for model training and evaluation.
• Algorithm Implementation: Implement and optimize machine learning algorithms and statistical models.
• System Integration: Integrate models into existing systems and workflows.
• Model Deployment: Deploy models to production environments and monitor performance.
• Collaboration: Work closely with data scientists, software engineers, and other stakeholders.
• Continuous Improvement: Identify areas for improvement in model performance and systems.

Skills:

• Programming and Software Engineering: Knowledge of software engineering best practices (version control, testing, CI/CD).
• Data Engineering: Ability to handle data pipelines, data cleaning, and feature engineering. Proficiency in SQL for data manipulation + Kafka, Chaossearch logs, etc for troubleshooting; Other tech touch points are ScyllaDB (like BigTable), OpenSearch, Neo4J graph
• Model Deployment and Monitoring: MLOps Experience in deploying ML models to production environments.
• Knowledge of model monitoring and performance evaluation.

Required experience:

• Amazon SageMaker: Deep understanding of SageMaker's capabilities for building, training, and deploying ML models; understanding of the Sagemaker pipeline with ability to analyze gaps and recommend/implement improvements
• AWS Cloud Infrastructure: Familiarity with S3, EC2, Lambda and using these services in ML workflows
• AWS data: Redshift, Glue
• Containerization and Orchestration: Understanding of Docker and Kubernetes, and their implementation within AWS (EKS, ECS)

Skills: Aws, Aws Cloud, Amazon Redshift, Eks

Must-Haves

Amazon SageMaker, AWS Cloud Infrastructure (S3, EC2, Lambda), Docker and Kubernetes (EKS, ECS), SQL, AWS data (Redshift, Glue)

Skills : Machine Learning, MLOps, AWS Cloud, Redshift OR Glue, Kubernetes, Sage maker

******

Notice period - 0 to 15 days only 

Location : Pune & Hyderabad only

Responsibilities

• Ability to translate Wireframes and PSD Designs into functional web apps using HTML5, AngularJS, React , Node.js, and Mongo

• Binding of UI elements to JavaScript object models

• Creating RESTful services with Node.js

• Architect scalable web architectures

• Work in a cross-functional team to deliver a complete user experience

• Create Unit and Integration tests to ensure the quality of code

• Be responsive to change requests and feature requests

• Write code that is cross-platform and cross-device compatible

• Ability to wear many hats and learn new technologies quickly

Hi

Greeting from MNR

Urgent opening - Assistant Manager - Payroll & MIS

Skills - MIS Reporting, Excel Expert, Strong Analytics, Dashboard, Payroll

Location - Mumbai

Job Description -

Incumbent will be responsible for leading the entire portfolio of HR Payroll, Compensation & Benefits, HR analytics and reporting, administration support, HR compliances and HR data integrity management.

Responsible for the end-to-end process of Payroll, Comp & Ben and Monthly MIS reports.

HR dashboard creation for consumption by senior stakeholders including Management Committee reviews, HR leadership teams.
This process will involve consolidation of data from different HR teams, ensuring data hygiene, accuracy, timeliness of data inputs.
It will entail analysis and reporting critical HR metrics including Headcount, Attrition, Diversity, Recruitment etc., on a regular frequency (monthly/quarterly), along with servicing requests received from time-to-time from other relevant/senior stakeholders.
Leads the process on variable pay provisioning to provide an accurate estimate of the variable pay spends in the company.
Ensure accurate and timely processing of payroll updates including new hires, terminations, and changes to minimum wages.
Prepare and maintains accurate records and reports of payroll transactions.
Ensure compliance with statutory laws and best practices.
Facilitate audits by providing records and documentation to auditors. Identifies and recommends updates to payroll processing software, systems, and procedures.
Provide support on all compensation & benefits processes including but not limited to generation of increment and other compensation letters, calculations including maintenance of permanent & contractual salaries, benefits administration and policy updates, maintenance of relevant documentation across these processes, resolving any queries around benefits, creation and maintenance of master MIS files for leadership, transfer letters generation, calculation and disbursement related process of salaries etc.
Administer Query resolution related to payroll, PF, ESIC and full and final settlements.
Coordinate with external vendor/agencies to run the compliance process for unit HR.
Responsible for multiple MIS reports and Analytics regarding manpower, payroll and employee benefits with Standardization of reports for better decision making.
Verification & Reconciliation of monthly payroll, manpower, attrition data.
Work in close collaboration with the HR Operations team to ensure data integrity and process controls are instituted and maintained. Audits the quality of data and takes corrective actions with relevant teams including HRIT/ Shared services/ HRBP spocs/ COE spocs etc. from time to time to ensure reporting accuracy and quality are maintained.

Skills required
High proficiency in MS Excel skills. (High Excel skills with analytics is a must)
Ability to deal with large amounts of data and put structure to the same.
Experience in making dashboards, reporting and analysis.
Strong analytical and problem-solving skills.
Exposure to HR payroll systems, will be an added advantage.
Attention to detail and delivery excellence.
Timeliness, responsiveness, accuracy and process compliance.
Ability to work with a large number of stakeholders.

Strong proficiency with one of the Vue.js, Angular JS, React JS JavaScript Techologies
2. Knowledge of Node.js and frameworks available for it , such as Express JS, Strong Loop, etc
3. Understanding the nature of asynchronous programming and Promises and its quirks and workarounds
4. Good understanding of server-side templating languages (such as Jade, EJS, etc depending on your technology stack)
5. Good understanding of server-side CSS pre-processors such as Styles, Less
6. Basic understanding of front-end technologies, such as HTML5, CSS3, and Bootstrap
7. Understanding accessibility and security compliance
8. User authentication and authorization between multiple systems(Internal or Third party), servers, and environments
9. Integration of multiple data sources and databases into one system
10. Understanding fundamental design principles behind a scalable application
11. Understanding differences between multiple delivery platforms, such as mobile vs. desktop, and optimizing output to match the specific platform
12. Implementing automated testing platforms and unit tests
13. Proficient in code versioning tools, such as Git or TFS

Responsibilities:

• Your primary responsibility as a senior backend engineer will be to architect and develop a scalable and robust micro-services backend with strong Java, Spring(Boot), SQL, AWS/GCP.
• Experience being part of a software development team in an Agile/Lean/Continuous Delivery environment
• Be a key performer in a high-performance product engineering team

Qualifications:

• 2 to 4 years of overall IT experience. Most of this experience in Java (Core Java, Spring boot, Java collections, Java Multithreading)
• Should have experience designing database schemas - SQL and NoSQL.
• Exposure to frameworks like Spring, Hibernate, Play would be a plus
• Experience with microservices architecture would be beneficial.
• Working knowledge of any public cloud (AWS, GCP or Azure)
• Broad understanding and experience of real-time analytics, NoSQL data stores, data modeling and data management, analytical tools, languages, or libraries
• Knowledge of container tech like Docker, Kubernetes would be a plus.
• Bachelor's Degree in Computer Science or Engineering.

• Desire to explore new technology and break new ground.
• Are passionate about Open Source technology, continuous learning, and innovation.
• Have the problem-solving skills, grit, and commitment to complete challenging work assignments and meet deadlines.

Qualifications

• Engineer enterprise-class, large-scale deployments, and deliver Cloud-based Serverless solutions to our customers.
• You will work in a fast-paced environment with leading microservice and cloud technologies, and continue to develop your all-around technical skills.
• Participate in code reviews and provide meaningful feedback to other team members.
• Create technical documentation.
• Develop thorough Unit Tests to ensure code quality.

Skills and Experience

• Advanced skills in troubleshooting and tuning AWS Lambda functions developed with Java and/or Python.
• Experience with event-driven architecture design patterns and practices
• Experience in database design and architecture principles and strong SQL abilities
• Message brokers like Kafka and Kinesis
• Experience with Hadoop, Hive, and Spark (either PySpark or Scala)
• Demonstrated experience owning enterprise-class applications and delivering highly available distributed, fault-tolerant, globally accessible services at scale.
• Good understanding of distributed systems.
• Candidates will be self-motivated and display initiative, ownership, and flexibility.

Preferred Qualifications

• AWS Lambda function development experience with Java and/or Python.
• Lambda triggers such as SNS, SES, or cron.
• Databricks
• Cloud development experience with AWS services, including:
• IAM
• S3
• EC2
• AWS CLI
• API Gateway
• ECR
• CloudWatch
• Glue
• Kinesis
• DynamoDB
• Java 8 or higher
• ETL data pipeline building
• Data Lake Experience
• Python
• Docker
• MongoDB or similar NoSQL DB.
• Relational Databases (e.g., MySQL, PostgreSQL, Oracle, etc.).
• Gradle and/or Maven.
• JUnit
• Git
• Scrum
• Experience with Unix and/or macOS.
• Immediate Joiners

Nice to have:

• AWS / GCP / Azure Certification.
• Cloud development experience with Google Cloud or Azure

Must Haves:

Proven track record of handling sizeable payment gateway reconciliation cycle from end to end for min 5 years and overall experience of 8 years.

Knowledge of automating the entire payment gateway reconciliation with the help of tools and making sure internal controls adhere with respect to the process.

Robust negotiation skills with all PG’s and maintaining professional cordial relationships with them and see how the work is getting done from them.

Managing a team and driving the PG process smoothly.

Experience from on-boarding new merchants' bank reconciliation till settlement.

Good To Haves:

Knowledge of ERP as well as accounting including advance excel formulas along with strong analytical Skill.

Sound knowledge of GST, Processing of Invoices on Gross Settlement/Net Settlement, Debit notes, credit notes, etc.

Responsible for robust communications for any PG related matters to internal and external stakeholders.

Experience in managing a team and driving the PG process smoothly.