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SAP APO Consultant 

Minimum 6+ year of Experience, relevant 5+ years as SAP APO Consultant.
Having an experience in DP andd SNP module
Minimum 2 end to end implementation is Mandatory
• This is for a support project, we are looking for candidates with minimum of 1 Implementation, Rollout, Support, upgrade, enhancements and various areas with implementation
• For users globally to ensure decent project delivery, service delivery, incident management, problem management, and change management.
• Analyse the systems and work directly with users to define system requirements, design and propose solutions, configure the software and train employees.
• Performing day-to-day maintenance on the SAP system, as well as installing new upgrades and testing for bugs, besides system configuration and data migration.
• Optimizing the system for easy use, and training employees in its functions and support all new required business improvements, changes and propose the integrated best-fit design to these new or changed Business Processes without impacting other regions.
• Meeting directly with users to find out their SAP-related needs and incorporate these needs into a cohesive plan

What are we looking for?

• Bachelor’s degree in analytics related area (Data Science, Computer Engineering, Computer Science, Information Systems, Engineering, or a related discipline)
• 7+ years of work experience in data science, analytics, engineering, or product management for a diverse range of projects
• Hands on experience with python, deploying ML models
• Hands on experience with time-wise tracking of model performance, and diagnosis of data/model drift
• Familiarity with Dataiku, or other data-science-enabling tools (Sagemaker, etc)
• Demonstrated familiarity with distributed computing frameworks (snowpark, pyspark)
• Experience working with various types of data (structured / unstructured)
• Deep understanding of all data science phases (eg. Data engineering, EDA, Machine Learning, MLOps, Serving)
• Highly self-motivated to deliver both independently and with strong team collaboration
• Ability to creatively take on new challenges and work outside comfort zone
• Strong English communication skills (written & verbal)

Roles & Responsibilities:

• Clearly articulates expectations, capabilities, and action plans; actively listens with others’ frame of reference in mind; appropriately shares information with team; favorably influences people without direct authority
• Clearly articulates scope and deliverables of projects; breaks complex initiatives into detailed component parts and sequences actions appropriately; develops action plans and monitors progress independently; designs success criteria and uses them to track outcomes; drives implementation of recommendations when appropriate, engages with stakeholders throughout to ensure buy-in
• Manages projects with and through others; shares responsibility and credit; develops self and others through teamwork; comfortable providing guidance and sharing expertise with others to help them develop their skills and perform at their best; helps others take appropriate risks; communicates frequently with team members earning respect and trust of the team
• Experience in translating business priorities and vision into product/platform thinking, set clear directives to a group of team members with diverse skillsets, while providing functional & technical guidance and SME support
• Demonstrated experience interfacing with internal and external teams to develop innovative data science solutions
• Strong business analysis, product design, and product management skills
• Ability to work in a collaborative environment - reviewing peers' code, contributing to problem- solving sessions, ability to communicate technical knowledge to a a variety of audience (such as management, brand teams, data engineering teams, etc.)
• Ability to articulate model performance to a non-technical crowd, and ability to select appropriate evaluation criteria to evaluate hidden confounders and biases within a model
• MLOps frameworks and their use in model tracking and deployment, and automating the model serving pipeline
• Work with all sizes of ML model from linear/logistic regression to other sklearn-like models, to deep learning
• Formulate training schema for unbiased model training e.g. K-fold cross-validation, leave-one- out cross-validation) for parameter searching and model tuning
• Ability to work on machine learning work like recommender systems, end-to-end ML lifecycle)
• Ability to manage ML on largely imbalanced training sets (<5% positive rate)
• Ability to articulate model performance to a non-technical crowd, and ability to select appropriate evaluation criteria to evaluate hidden confounders and biases within a model
• MLOps frameworks and their use in model tracking and deployment, and automating the model serving pipeline

• Must have experience with Amazon Web Services (AWS)
• Experience with Python/Node.JS/Typescript
• At least 2+ years as back-end software developer
• A deep understanding of the benefits of the Microservice and serverless paradigms
• Prepared technical documentation, and understand why it’s important
• Understanding of database principals: SQL and NoSQL
• Collaboration and communication skills (you’ll be working with clients and internal teams)
• An understanding of programming fundamentals (OOP, data structures, algorithms)
• Familiarity and comfort with REST API, Postman
• The ability to work independently or within a team structure.
• A “lead by example” attitude, and motivation to deliver work you’re proud of

Do you have what it takes to hire thousands of people every month? Here is an opportunity to boost your career by joining our client.

What you need to have:

• 5 – 8 years of relevant work experience in end-to-end talent acquisition
• Graduation is a must. MBA HR from a B-school is preferred    
• Talent Acquisition experience from a startup background is highly desirable
• Proven experience and also willingness to work with hiring targets
• Excellent communication and negotiation skills
• Experience of leading a team of talent acquisition specialists
• Ability to multi-task and also proven experience of maintaining high confidentiality data

• Understanding position requirements and the hiring function’s deliverables in depth.
• Sourcing, screening, and developing a candidate pipeline.
• Ensuring a healthy pipeline till closure, report sourcing risks upfront.
• Managing candidate expectations and negotiating compensation packages for new hires.
• Developing external contacts to stay abreast of new hiring practices and trends in the industry.
• Providing recruitment reports and metrics.
• Exposure to both tech and non tech positions across levels and experience in hiring high budget resources.
• Utilize the existing recruiting database and tools to maximize the output.
• Work with agencies to explain the hiring needs and give regular update about the candidates received on ATS.
• Work on recruiting projects to improve recruiting process efficiency.
• Maintain market intelligence on the hiring landscape and utilize this information for hiring the best talent in the firm.

Talent Management

• Provide support in the following areas: performance management, data analysis, employee relations, learning and development, and strategic development.
• Utilize data strategically: Identify trends in both qualitative and quantitative data to help improve organizational health, understand when data will assist in making informed decisions.
• Partner with team members to roll out programs to support employees on talent programs.

Requirements (Must Have):

• Comfortable working in fast-paced, high growth, dynamic business environment.
• Effective influencing and communication skills, with the ability to build relationships with employees, leaders, and a variety of stakeholders to drive organizational change.
• Outstanding interpersonal skills; demonstrated ability to develop relationships within the organization;
• Excellent communication skills.

Huge Requirements for Top MNC's!!

Walk in with Resume, walk out with offer letter,

One day interview process... two rounds of interview

Job Description :

• Freshers or Experience in any sales, Inside Sales, Banking process/customer service,BPO background from Banking process, MBA freshers, BE/Btech can also apply

• Salary: INR 1,00,000 – 3,00,000 P.A. Incentives

• Industry:BPO / Call Centre / ITES

• Functional Area:ITES , BPO , KPO , LPO , Customer Service , Operations

• Role Category:Voice

• Role:Associate/Senior Associate

• Employment Type:Permanent Job, Full Time

About The company:

NoBroker.com is world's largest C2C marketplace in online real estate. With cumulative 50 lakh customers, it has grown 10X in last one year. With three rounds of funding of $71 mn, it is well funded by key US, Indian, Japanese & Korean investors like General Atlantic, SAIF Partners, KTB ventures and BeeNext. It is headquartered in Bangalore with a team of 900+ people. 

Role and Responsibility – Sales Champion

• Identifies business opportunities by identifying prospects

• Sells products by establishing contact and developing relationships with

prospects; recommending solutions

• Outbound calling on data collected through lead generation activities /

secondary data sources

• Daily follow-ups on older leads and work on new leads

• Maintains quality service by establishing and enforcing organization

standards

• Must be energetic, well-spoken, eager to close sales deals and generate

revenue for the organization.

Role and Responsibility – Customer Relationship Manager

• Act as relationship manager for the Paid customers of NoBroker

• Build sustainable relationships and trust with customer accounts through

open and interactive communication

• Identify and assess customers needs

• Service customer in finding the right tenant / house as per the requirement

of customer

• Dial outbound and attend inbound calls of customer and leads

• Use internal tools and methods to provide best possible service to the

customer

• Negotiate with leads on behalf of customer

• Keep customer up-to date on the progress of his account

• Follow communication procedures, guidelines and policies.

 Go extra mile to provide excellent customer service.

Regards

Sravani N S.

HR-Executive

Sarjapur Road.