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Oracle EBS (R12) covering Financial Modules: Payables, Receivables, Assets, GL, Inventory, Cash Management, Expenses, Project, Procurement, Contract and Revenue automation module

Preferred Qualifications
- Bachelor's degree in Engineering with specialization in Computer science or related field
- 4-10 years of experience as a software engineer in a product development setting
- Deep experience in Python with demonstrated ability to build modern products
- Experience in designing APIs and integration patterns, implementing secure and sustainable products with a focus on quality and scalability
- Experience in FastAPI, Django, or equivalent
- Experience in data modeling and efficient usage of PostgreSQL, MySQL, MongoDB, or equivalent
- Experience with modern components like async python, pedantic, sqlalchemy, alembic, celery, google products API integration, etc. is a plus
- Understanding of CI/CD practices including code check-in policies, automated unit tests, automated code deployments, etc.
- Experience in other programming languages is a plus, especially Javascript and/or Typescript
- Experience building feature-rich and scalable web apps is a plus
- Ability to grasp new technologies and use them effectively to create industrial-strength software
SKILLS: UI Development,Angular,Javascript,HTML,CSS,Monitering Management,etc.,
Role
We are looking for a Lead UI Engineer to design and build multiple channels for user interaction.
Responsibilities
- Design/Architect and develop core features of the UI/frontend.
- Design/Architect and develop policy framework to provide rich UI for various features of the solution.
Requirements:
- Must have 6+ years of experience in working in frontend technologies
- Must have at least 2-3 years. of experience with Angular2 or above versions.
- Must have at least 5+ years of experience with HTML/CSS/JavaScript/TypeScript.
- Experience with PrimeNG and Vega is a plus
- Strong background in developing UI for Monitoring and Management systems, dealing with topology, and different telemetry such as metrics, traces and logs
- Familiar with containerization solutions like Docker/Kubernetes etc.
- Familiar with serverless technologies like AWS Lambda.
- B.E/B.Tech/MS degree in Computer Science, or equivalent
We are seeking talented and motivated Telesales Representatives to join our dynamic sales team. In this role, you will be responsible for proactively reaching out to potential customers, promoting our products and services, and converting leads into successful sales.

Well funded global HR Tech and Fintech Org with 350 clients+
If you've ever wanted to have a chance to sell products that have a visible and immediate impact in people’s lives, if you believe in owning what you help build like we do, and if
You’re looking for a place that will challenge you to improve every day, then we think
that you’ll feel right at home with us
Key responsibilities:
Prospect for potential new clients and turn this into increased business.
Cold call as appropriate within your market or geographic area to ensure a robust
pipeline of opportunities. Meet potential clients by growing, maintaining, and
leveraging your network.
Identify potential clients, and the decision makers within the client organization.
Research and build relationships with new clients.
Set up meetings between client decision makers and company’s practice
leaders/Principles.
Plan approaches and pitches. Work with team to develop proposals that speaks to the
client’s needs, concerns, and objectives.
Participate in pricing the solution/service.
Handle objections by clarifying, emphasizing agreements and working through
differences to a positive conclusion. Use a variety of styles to persuade or negotiate
appropriately.
Present an image that mirrors that of the client.Skills required:
Excellent verbal and written communication skills.
Energy, passion and a real drive to get ahead
Capable, quick, determined
Immaculate attention to detail
Team player
Startup mentality, high willingness to learn, and hardworking
Project Manager cum Product manager job responsibilities: -
- Define specifications and business requirements.
- Create User Stories/Acceptance criteria.
- Work with all the stakeholders to understand the pain areas and needs. Identify opportunities to address pain points and provide a seamless experience for end users.
- Closely work with the technology team and other stakeholders to communicate the requirements and develop features.
- Perform quality assurance; make sure the newly developed solutions are working as per the acceptance criteria.
- Perform RCA and identify solutions for customer complaints and issues.
- Constantly be on the lookout for ways to improve, discover issues and deliver the highest value to the customer.
- Research and come up with Innovative ideas to improve the application and customer experience.
- Competition landscape tracking. Analyze leading market players and competitors to gain insights and implement innovative solutions to gain a competitive advantage over other apps.
Responsibilities
- Collaborate with management team to craft the company’s vision and mission
- Develop strategic HR plans and policies (recruitment, training, compensation etc.)
- Hire, guide and evaluate the work of HR executives
- Reporting performance to the CEO by using KPIs and business metrics
- Analyzing the success of HR operations
- Decide and act on initiatives for equal opportunity, diversity etc.
- Assuming responsibility for employee/labor relations with the management
- Re-engineer processes to ensure maximum efficiency
- Ensuring all procedures are in compliance with legal regulations
- Analyze the effectiveness of HR operations and policies
- Prepare reports for the CEO using business metrics and KPIs
- Taking initiatives for ensuring equality in the work environment.
- Must have experience handling big size companies.

You will be a part of: Supply Chain Management (SCM)
Myntra-Jabong Supply Chain Management systems form the backbone of our core business and customer experience. Any business runs on a simple construct of Demand (Consumer) and Supply (Producer). However, a set of complex and intricate methods, processes and systems connect the demand with supply in a deterministic and predictable way. These methods, processes and systems collectively form the Supply Chain for the business. The multi-billion-dollar Myntra-Jabong business fundamentally rests on a set of highly scalable, robust and intelligent Supply Chain Management systems that solve real-world problems of predicting the demand from millions of our customers, for a combination of millions of products from our product catalogue, and intelligently connecting that demand to thousands of national and international sellers or suppliers using a set of advanced homegrown tech products that we build and manage.
SCM engineering employs new-age technologies such as Distributed Computing constructs, Machine Learning, Deep Learning, Computer Vision, Artificial Intelligence; scalable data stores in Mongo, Redis, Cassandra, MySQL, Elastic Search, Solr; scalable programming constructs in Node.js, GoLang, Java; JavaScript, Python, and new-age frameworks such as ReactJS and ReactNative to solve some of the hardest problems in the e-commerce business
with world-class software products.
The SCM engineering at Myntra-Jabong operates within two distinct verticals: Supply-chain Outbound (Fulfilment systems) & Supply-chain Inbound (Selection systems, Partner experience).
Your Responsibilities:
● Own the architecture of Myntra’s new product platforms to drive business results
● Be a visible leader to drive and own the architecture and design of some of the most advanced & complex software systems / products in the industry to create company wide impact.
● Help build, mentor and coach a team of very talented Engineers, Architects, Quality engineers, System Operation Engineers and DevOps engineers in architectural and design best practices.
● Be an operational and technical leader with a passion for distributed systems, cloud service
development, deployment and delivery.
● Be accountable for the design, for the ease of evolution, quality of the systems, performance, scaling, and availability characteristics and limitations of the systems.
● Envision and develop the long-term architectural direction, with emphasis on platforms/ reusable components while adopting a nimble delivery process. Establish structures and processes that ensure a high level of quality and reliability and extensibility of deliverables.
● Drive the creation of next generation extensible web, mobile and fashion commerce platforms, security protocols, customisation and tools to support continuous scaling, internationalization and platform extensions
● Drive code and design reviews of components / systems / products in scope and drives the
architectural governance for them
● Set directional paths for the teams/department for adoption of new technology stacks for solving business problems
● Be a very visible representative of multiple technology domains and represent Myntra in external technical forums
● Work with product management, business stakeholders and other engineering leaders to help define mid-term, long-term roadmaps and shape business directions
● Initiate and deliver leadership training within the engineering organisation, including training new managers, and drive the growth of leaders to create a strong leadership bench
Desired Skills and Experience
● 12 - 16 years of experience in software product development
● Must have a degree in Computer Science or related field
● A solid engineer at heart with excellent abstraction, coding and system design skills
● Proven track record of leading the architecture and delivery in a startup/e-commerce ecosystem within a high growth & matrix environment
● Successfully architected and led technology for consumer-facing products in the global market along with being an efficient proficient problem-solver who envisions business and technical perspectives to develop workable solutions
● Must have exposure to leading product development end-end (portfolio to delivery, re-architectures)
● Strong hands-on technology experience building and running large scale systems handling
multi-million sessions/transactions per day
● Solid experience in large scale Database systems like RDBMS & NoSQL stores
● Strong design/development experience in building massively large scale distributed internet systems and products
● Excellent programming skills in Java/GO and expertise in multi-threading and performance-oriented programming
● Solid experience in Distributed systems, highly scalable products, performance & reliability
● Excellent understanding of processing platforms and queues
● Experience and knowledge of open source software, frameworks and broader cutting edge
technologies around server-side development in Java
● Strong understanding of object-oriented programming, concurrency and fundamentals of
computer-science



Responsibilities:
- Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world.
- Verifying data quality, and/or ensuring it via data cleaning.
- Able to adapt and work fast in producing the output which upgrades the decision making of stakeholders using ML.
- To design and develop Machine Learning systems and schemes.
- To perform statistical analysis and fine-tune models using test results.
- To train and retrain ML systems and models as and when necessary.
- To deploy ML models in production and maintain the cost of cloud infrastructure.
- To develop Machine Learning apps according to client and data scientist requirements.
- To analyze the problem-solving capabilities and use-cases of ML algorithms and rank them by how successful they are in meeting the objective.
Technical Knowledge:
- Worked with real time problems, solved them using ML and deep learning models deployed in real time and should have some awesome projects under his belt to showcase.
- Proficiency in Python and experience with working with Jupyter Framework, Google collab and cloud hosted notebooks such as AWS sagemaker, DataBricks etc.
- Proficiency in working with libraries Sklearn, Tensorflow, Open CV2, Pyspark, Pandas, Numpy and related libraries.
- Expert in visualising and manipulating complex datasets.
- Proficiency in working with visualisation libraries such as seaborn, plotly, matplotlib etc.
- Proficiency in Linear Algebra, statistics and probability required for Machine Learning.
- Proficiency in ML Based algorithms for example, Gradient boosting, stacked Machine learning, classification algorithms and deep learning algorithms. Need to have experience in hypertuning various models and comparing the results of algorithm performance.
- Big data Technologies such as Hadoop stack and Spark.
- Basic use of clouds (VM’s example EC2).
- Brownie points for Kubernetes and Task Queues.
- Strong written and verbal communications.
- Experience working in an Agile environment.
