SAP Basis Consultant

Designation: TM Sales                                                          

Location:    Tamil Nadu

Qualification: BE/MSC/BSC

Experience: 7 + Years

Key job responsibilities:

1. New Client/Customer acquisition

2. Dealer Appointment

3. Servicing Existing Clients-Monthly Report, Business Review, Attending Service Calls

4. Sales Planning and Billing

5. Presentation to Clients, Training Juniors and Clients

6. Offer preparation.

7. Market Intelligence and Competitor Activity.

8. New Technology presentation to Key Clients.

Skill/Knowledge Required:

Technical skills to handle water treatment chemical applications.

Data Scientist

Job Title: Data Scientist – Data and Artificial Intelligence

Location: Hyderabad

Job Type: Full-time

Company Description:

Qylis is a leading provider of innovative IT solutions, specializing in Cloud, Data & AI, 

and Cyber Security. We help businesses unlock the full potential of these technologies 

to achieve their goals and gain a competitive edge. Our unique approach focuses on 

delivering value through bespoke solutions tailored to customer specific needs. We are 

driven by a customer-centric mindset and committed to delivering continuous value 

through intellectual property accelerators and automation. Our team of experts is 

passionate about technology and dedicated to making a positive impact. We foster an 

environment of growth and innovation, constantly pushing the boundaries to deliver 

exceptional results. Website: www.qylis.com, LinkedIn: 

www.linkedin.com/company/qylis

Job Summary

We are an engineering organization collaborating directly with clients to address 

challenges using the latest technologies. Our focus is on joint code development with 

clients' engineers for cloud-based solutions, accelerating organizational progress. 

Working with product teams, partners, and open-source communities, we contribute to 

open source, striving for platform improvement. This role involves creating impactful 

solution patterns and open-source assets. As a team member, you'll collaborate with 

engineers from both teams, applying your skills and creativity to solve complex 

challenges and contribute to open source, while fostering professional growth.

Responsibilities

• Researching and developing production-grade models (forecasting, anomaly 

detection, optimization, clustering, etc.) for global cloud business by using 

statistical and machine learning techniques.

• Manage large volumes of data, and create new and improved solutions for data 

collection, management, analyses, and data science model development.

• Drive the onboarding of new data and the refinement of existing data sources 

through feature engineering and feature selection.

• Apply statistical concepts and cutting-edge machine learning techniques to 

analyze cloud demand and optimize data science model code for distributed 

computing platforms and task automation.

• Work closely with other data scientists and data engineers to deploy models that 

drive cloud infrastructure capacity planning.

• Present analytical findings and business insights to project managers, 

stakeholders, and senior leadership and keep abreast of new statistical / 

machine learning techniques and implement them as appropriate to improve 

predictive performance.

• Oversees the analysis of data and leads the team in identifying trends, patterns, 

correlations, and insights to develop new forecasting models and improve 

existing models.

• Leads collaboration among team and leverages data to identify pockets of 

opportunity to apply state-of-the-art algorithms to improve a solution to a 

business problem.

• Consistently leverages knowledge of techniques to optimize analysis using 

algorithms.

• Modifies statistical analysis tools for evaluating Machine Learning models. 

Solves deep and challenging problems for circumstances such as when model 

predictions are not correct, when models do not match the training data or the 

design outcomes when the data is not clean when it is unclear which analyses to 

run, and when the process is ambiguous.

• Provides coaching to team members on business context, interpretation, and the 

implications of findings. Interprets findings and their implications for multiple 

businesses, and champions methodological rigour by calling attention to the 

limitations of knowledge wherever biases in data, methods, and analysis exist.

• Generates and leverages insights that inform future studies and reframe the 

research agenda. Informs both current business decisions by implementing and 

adapting supply-chain strategies through complex business intelligence.

Qualifications

• M.Sc. in Statistics, Applied Mathematics, Applied Economics, Computer 

Science or Engineering, Data Science, Operations Research or similar applied 

quantitative field

• 7+ years of industry experience in developing production-grade statistical and 

machine learning code in a collaborative team environment.

• Prior experience in machine learning using R or Python (scikit / numpy / pandas / 

statsmodel).

• Prior experience working on Computer Vision Project is an Add on 

• Knowledge on AWS and Azure Cloud.

• Prior experience in time series forecasting.

• Prior experience with typical data management systems and tools such as SQL.

• Knowledge and ability to work within a large-scale computing or big data context, 

and hands-on experience with Hadoop, Spark, DataBricks or similar.

• Excellent analytical skills; ability to understand business needs and translate 

them into technical solutions, including analysis specifications and models.

• Experience in machine learning using R or Python (scikit / numpy / pandas / 

statsmodel) with skill level at or near fluency.

• Experience with deep learning models (e.g., tensorflow, PyTorch, CNTK) and solid 

knowledge of theory and practice.

• Practical and professional experience contributing to and maintaining a large 

code base with code versioning systems such as Git.

• Creative thinking skills with emphasis on developing innovative methods to solve 

hard problems under ambiguity.

• Good interpersonal and communication (verbal and written) skills, including the 

ability to write concise and accurate technical documentation and communicate 

technical ideas to non-technical audiences.

Collections Associate

The company's mission is simple: we want to make financial products accessible to everyone. They offers the ambitious a plethora of products to simplify banking in the US, such as: A Bank Account you can create from anywhere in the world in under five minutes A high-limit Credit Card that helps build a healthy credit score Easy, lightning-fast, cross-border money transfers with the best rates in the market Zolve is expanding its horizons, and we're excited to open our doors to everyone expanding theirs. We believe: that if space tourism is real, so is reaching for the stars.

RESPONSIBILITIES

● Responsible for communicating with customers from a collections stand-point

● Omni channel communication such as Email, SMS, Tele Calling etc.

● Contact clients and discuss their overdue payments in a friendly manner, and proactively propose

solutions based on defined SOPs

● Monitor accounts on a daily basis

● Identify outstanding account receivables

● Collaborating on debt collection efforts with Finance, Sales, and the Legal team.

● Investigate historical data for debts and bills

● Developing debt collection strategies and plans

● Take actions in order to encourage timely payments

● Process payments and refunds

● Resolve billing issues

● Ensure compliance to all federal and local regulations for collection process

● Update account status records

REQUIREMENTS

● Bachelor’s Degree in Finance, Business or related field

● 3-6 years of relevant experience

● Experience working in the collections team for consumer credit products such as Credit Card,

Personal Loan, Education Loan, 2W and 4W, Home Loan, etc.

● Excellent knowledge of various collection techniques

● Experience in developing and enacting debt recovery plans and strategies to prevent losses

● Knowledge of MS Office, Data Interpretation, databases, and alternate mode of collections

● Excellent communication and interpersonal skills

● Demonstrated experience of being empathetic with customers

● Problem-solving and critical-thinking skills

Job Description

We are looking for a ROR developer. If you're a creative problem solver who is eager to develop amazing products and hungry for a new adventure, a word class workplace is waiting for you.

• Production experience in Ruby.
• A completed technical degree in Computer Science or any related fields.
• 3+ years of professional product development experience.
• Being comfortable with microservices architectures, API-based
• You are a pragmatic programmer who understands what is needed to get things done.
• Problem solving and collaborative mindset.
• Experience working with DevOps (Docker, Kubernetes, Terraform).
• Experience with AWS (RDS, DDB, Lambda, CW, EC2, SQS, SNS, Cognito, Kinesis).
• Experience with performance improvements (Caching Techniques, SQL Query Optimization, Performance monitoring and profiling.
• Deep understanding of service-oriented and microservices architectural patterns, troubleshooting methods and best practices.
• Takes end to end ownership of the development and operation of complete features.

Social Media Writer and Content Manager 

Job Requirements :

1) Prior Experience as a Social Media Manager (With a Focus on Youtube)

2) Experience with Google, Facebook and Youtube Ads

3) Experience writing social media posts, captions

4) Familiarity with Search Engine optimization (SEO)

5) Experience working with Mail Chimp is desired, but not mandatory

6) Awareness with social media trends

7) Creativity and Immersion in Social Media

8) Analytical Aptitude

9) Excellent writing and language skills

10) Proficiency in Hindi and English

11) Proofreading and Editing Skills

Job Responsibilities : The candidate would be responsible for

1) Crafting Social Media Strategy and setting clear objectives for promotion, engagement, conversion of target audience.
2) Managing client's social media assets.( Social Media, SEO, Content Marketing, Email, Print and Digital Marketing)
3) Content Management 
4) Curating Weekly and Fortnightly Social Media Campaigns and overseeing their execution (Images/Video/Podcasts/Blog Posts/Snippets/One Liners/Newsletters)

5) Collating Social Media Analytics and generating insights for building online brand awareness and reputation

6) Creating and implementing fortnightly and monthly Content editorial calendars to manage content

7) Implement a publishing schedule and promote content through social advertising

8) Working with Design Team for creating Social Media Posts

9) Managing and reviewing comments and feedback section

10) Online Reputation Management (ORM) and establishing brand loyalty in the online and offline community.

11) Determining KPI for audience engagement by capturing relevant performance metrics

12) Compiling reports showcasing ROI and tweaking strategy if needed.

Salary : As Per Industry Standards

Experience : 3 to 7 Years

Qualification : Graduate in any field. 

Software : Microsoft Office Suite / Hootsuite