11+ Interfaces management Jobs in Mumbai | Interfaces management Job openings in Mumbai

Job Description

The ideal candidate should have minimum 8 years of experience on SAP Abap.

Should be well versed with Reports , Interfaces , Conversions , Enhancements , Forms and User exits.

Should be good in stakeholder management.

Should have excellent verbal and written communication skills

Should be good in Project management.

Knowledge of S/4 Hana is required.

Role Objective:

 To provide essential support to the Façade Design team by assisting in the preparation of technical drawings and project documentation. The primary purpose of this role is to

develop foundational skills in façade design and contribute to the successful delivery of project

components under direct supervision.

Key Responsibilities & Accountabilities:

 Drawing & Documentation Support:

o Assist in the preparation of initial drafts for façade drawings and technical

documents as directed by senior team members.

o Make revisions to drawings and specifications based on feedback from the design

team.

Technical Learning & Application:

o Actively learn and apply company standards, project specifications, and fundamental

engineering principles.

o Gain a working knowledge of local building codes and various façade materials.

 Team Collaboration:

o Support the design team in day-to-day project tasks.

o Maintain and organize design files, records, and project correspondence to ensure

information is accurate and accessible.

Quality Adherence:

 Assist in basic quality checks of drawings to ensure they meet required standards

before formal review.

Mandatory Candidate Profile:

 Education: A Bachelor’s degree/Diploma in (Civil /Mechanical) Engineering or Architecture is

required.

Experience: 0-2 years of experience. 

Recent graduates with a strong academic record and a

demonstrated interest in structural or façade design are encouraged to apply.

 Technical Knowledge: Basic proficiency in CAD software (e.g., AutoCAD) is mandatory. The

candidate must possess a strong willingness to learn advanced design tools.

Reporting Structure:

 The position reports directly to the Facade Designer or a Senior Facade Designer.

We are seeking a Banking & Payment Executive to manage daily banking operations and ensure timely and accurate payments.

Key Responsibilities:

• Handling bank transactions and daily banking activities

• Processing vendor and statutory payments

• Managing online banking operations

• Cheque preparation, issuance, and tracking

• Performing bank reconciliation on a regular basis

Skills & Requirements:

• Sound knowledge of banking and payment processes

• Experience in vendor and statutory payments

• Familiarity with online banking platforms

• Strong attention to detail and accuracy

🔴Profile: React Native Developer

🔷 Experience- 2+ Years

🔷 Location- Mumbai, Andheri East

🔷 Mode- 5 Days WFO

(Only immediate joiners & candidates who have completed notice period)

✨ What we want:

✅ 2+ years React Native experience

✅ JavaScript, JSX & mobile development

✅ React Hooks & component lifecycle

✅ Native module integration (iOS/Android)

✅ State management (Redux/Context API)

✅ REST APIs & third-party integrations

✅ Navigation libraries (React Navigation)

✅ Mobile UI/UX best practices

✅ Testing frameworks (Jest, Detox)

✅ Mumbai, Andheri East based candidates only

No relocation cases - candidate should be present in Mumbai

Job Description

Sr Executive – Accounts Receivable

Location: Andheri, Mumbai

Key Responsibilities

Collections Strategy & Management

 Develop and implement strategies to ensure mely collec on against invoices and billing.

 Monitor outstanding receivables, iden fy overdue accounts, and implement follow-up

mechanisms.

Team Leadership and Stakeholder Coordination

 Lead, mentor, and manage the collections team for op mal performance.

 Collaborate with sales, opera ons, and finance teams to resolve disputes and ensure

smooth collec ons.

 Communicate with customers professionally to resolve billing discrepancies and ensure timely payments.

Process & Technology Optimization

 Streamline billing and collection processes for efficiency and accuracy.

 Leverage ERP or other finance systems for tracking invoices, payments, and aging reports.

 Introduce automation and reporting dashboards to improve tracking and decision-making.

Reporting & Analysis

 Prepare regular reports on receivables, collection efficiency, and overdue accounts.

 Provide insights to senior management for cash flow planning and strategic decisions.

 Maintain proper documentation for audits and internal controls.

Key Skills & Competencies

 Strong understanding of accounts receivable, billing, and collec ons processes.

 Good communication on and problem-solving skills for customer interaction on.

 Knowledge of ERP/finance so ware and repor ng tools.

Qualification & Experience

 Graduate / Postgraduate in Finance, Commerce, Bank and Insurance or related field.

 3 – 5 years of experience in accounts receivable/collections, preferably in financial services

or BFSI sector.

 Proven experience leading a collections team and optimizing billing processes.

Job description:

Roles & Responsibilities

At Dolat, code is our business, so naturally, the Core Engineering and Systems team is at the centre of what we do. Our community of developers has designed and continues to enhance one of the fastest trading platforms using the latest tools and technologies. As a Software Developer, you’ll draw upon your computer science, mathematical, and analytical abilities to develop complex and nimble code used to grow our business and increase the efficiency of the global financial markets. Your responsibilities may include any of the following, which will require you to exercise discretion and independent judgment:

 Augmenting, improving, redesigning, and/or re-implementing Dolat's low-latency/high throughput production trading environment, which collects data from and disseminates orders to exchanges around the world

 Optimizing this platform by using network and systems programming, as well as other advanced techniques

 Developing systems that provide easy access to historical market data and trading simulations

 Building risk-management and performance-tracking tools

 Shaping the future of Dolat through regular interviewing and infrequent campus recruiting trips

 Implementing domain-optimized data structures

 Learn and internalize the theories behind current trading system

 Participate in the design, architecture and implementation of automated trading systems while taking ownership of system from design through implementation

Skills & Experience

 A strong background in data structures, algorithms, and object-oriented programming in C++

 Exchange Connectivity experience a plus

 Familiarity with Linux environments; Windows a plus

 High level knowledge & competencies in one or more of the following areas: TCP stack optimization Multi-core 1 machine parallelism Low level performance / cache optimization / profiling

Additional requirements include:

 Experience in distributed and/or highly concurrent systems is a plus

 Experience in low-latency systems and/or high transaction environments is a plus

 A passion for new technologies and ideas

 The ability to manage multiple tasks in a fast-paced environment

 Experience in network topologies and protocols like TCP and UDP

• Social Media Manager is responsible for the day-to-day execution of client projects.  May serve as the daily contact between client and agency.
• -Proactive in developing and maintaining a close and productive relationship with key client contacts, acting with integrity at all times and including the SAM or AD in communications as appropriate.
• Develops a thorough understanding of the client’s business and be proactive in maintaining and sharing your knowledge of the industry in which they operate.
• Ensures client requests are dealt with promptly and developed into internal briefs by you and your team, distinguishing between a good and poor client brief and proactively ensuring clarity on agreed actions
• Ensures to gain client sign-off at the relevant project stages, involving the SAM/AD when appropriate
• Ensures the work that you send to the client and that of anyone you oversee, is completed in a timely fashion and is of the upmost quality, with high levels of accuracy, attention to detail and relevance to brief ¾ Before a project leaves the agency, ensures that all mandatory requirements have been considered and acted upon to gain sign off by the relevant Production Lead and client
• Identifies and solves problems as they arise, appreciating when it is appropriate to involve or notify the SAM and / or the AD
• Checks contact reports of key meetings and telephone conversations prepared by your team, ensuring these are issued to the client within 24-48 hours
• Proactively manages jobs and the Production Schedule, to ensure that they are scheduled on time, to budget and are monitored using appropriate administration procedures
• Supports those overseen in the prioritization of their tasks, in line with the wider Account
• Handling Team’s activity and objectives, to ensure team deadlines are met. Where necessary, proactively liaises with the SAM and / or AD to ensure priorities are aligned
• Ensures research and background information is prepared the team, for briefs/pitches / presentations as appropriate. Demonstrates capability in contributing to such meetings as needed

• Works with a multi-disciplinary team, developing strong working relationships with the
• Production Team to ensure they can add value and client requirements are managed to realistic timescales and associated budgets are appropriate. Oversees this activity within your team as necessary
• Supports the SAM and/or AD and working with the Insights & Planning Team proactively develops an understanding of strategy and how this applies to the projects you are delivering. Applies and relay this knowledge in an appropriate way
• Proactive in identifying and progressing new business opportunities Administration and financial management
• Monitors ongoing costs throughout individual campaigns
• Ensures accurate quotations for production are produced and distributed at the beginning of any campaign, by you and those that you oversee
• Proactively manages the maintenance of job numbers and job records
• Ensures a systematic and efficient filing system is maintained
• Mentor Junior Account Handlers in managing project finances appropriately                                   

ML Engineer-Analyst/ Senior Analyst

Job purpose:

To design and develop machine learning and deep learning systems. Run machine learning tests andexperiments and implementing appropriate ML algorithms. Works cross-functionally with the Data Scientists, Software application developers and business groups for the development of innovative ML models. Use Agile experience to work collaboratively with other Managers/Owners in geographically distributed teams.

Accountabilities:

• Work with Data Scientists and Business Analysts to frame problems in a business context. Assist all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.

• Understand business objectives and developing models that help to achieve them, along with metrics to track their progress.

• Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world.

• Define validation strategies, preprocess or feature engineering to be done on a given dataset and data augmentation pipelines.

• Analyze the errors of the model and design strategies to overcome them.
• Collaborate with data engineers to build data and model pipelines, manage the infrastructure and data pipelines needed to bring code to production and demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.

Qualifications & Specifications

• Bachelor's degree in Engineering /Computer Science/ Math/ Statistics or equivalent. Master's degree in relevant specification will be first preference

• Experience of machine learning algorithms and libraries
• Understanding of data structures, data modeling and software architecture.
• Deep knowledge of math, probability, statistics and algorithms
• Experience with machine learning platforms such as Microsoft Azure, Google Cloud, IBM Watson, and Amazon

• Big data environment: Hadoop, Spark
• Programming languages: Python, R, PySpark
• Supervised & Unsupervised machine learning: linear regression, logistic regression, k-means

clustering, ensemble models, random forest, svm, gradient boosting

• Sampling data: bagging & boosting, bootstrapping
• Neural networks: ANN, CNN, RNN related topics
• Deep learning: Keras, Tensorflow
• Experience with AWS Sagemaker deployment and agile methodology