Informatica Customer 360 Cloud MDM Expert

We are seeking an experienced and proactive Employee Relations (ER) Specialist to join our team. The ideal candidate will focus on fostering and maintaining positive relationships between employees and the organization to ensure a harmonious and productive workplace environment.

Key Responsibilities:

• Build and maintain strong relationships with employees at all levels to promote trust and open communication.
• Address and resolve employee concerns or grievances in a timely and professional manner.
• Collaborate with HR and management teams to implement policies and practices that support a positive workplace culture.
• Conduct investigations into employee complaints, ensuring fairness, confidentiality, and compliance with company policies.
• Provide guidance and support on employee engagement, performance management, and conflict resolution.
• Work closely with leadership to ensure alignment of ER practices with organizational goals.
• Contribute to creating a safe, inclusive, and motivating environment where employees feel valued and supported.

Qualifications:

• Proven experience in Employee Relations or HR roles.
• Strong interpersonal, communication, and problem-solving skills.
• Knowledge of labor laws and regulations.
• Ability to manage sensitive situations with discretion and professionalism.

This role plays a vital part in creating a satisfied workforce, ultimately leading to improved business outcomes.

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.

• Be the analytical expert in Kaleidofin, managing ambiguous problems by using data to execute sophisticated quantitative modeling and deliver actionable insights.
• Develop comprehensive skills including project management, business judgment, analytical problem solving and technical depth.
• Become an expert on data and trends, both internal and external to Kaleidofin.
• Communicate key state of the business metrics and develop dashboards to enable teams to understand business metrics independently.
• Collaborate with stakeholders across teams to drive data analysis for key business questions, communicate insights and drive the planning process with company executives.
• Automate scheduling and distribution of reports and support auditing and value realization.
• Partner with enterprise architects to define and ensure proposed.
• Business Intelligence solutions adhere to an enterprise reference architecture.
• Design robust data-centric solutions and architecture that incorporates technology and strong BI solutions to scale up and eliminate repetitive tasks.

• Experience leading development efforts through all phases of SDLC.
• 2+ years "hands-on" experience designing Analytics and Business Intelligence solutions.
• Experience with Quicksight, PowerBI, Tableau and Qlik is a plus.
• Hands on experience in SQL, data management, and scripting (preferably Python).
• Strong data visualisation design skills, data modeling and inference skills.
• Hands-on and experience in managing small teams.
• Financial services experience preferred, but not mandatory.
• Strong knowledge of architectural principles, tools, frameworks, and best practices.
• Excellent communication and presentation skills to communicate and collaborate with all levels of the organisation.
• Preferred candidates with less than 30 days notice period.

What is the role?

You will be responsible for architecting and developing features on the application end to end. You will be working closely with the Product Managers and the Technical architect to come up with high-quality, resilient, and highly performant applications.‍

Key Responsibilities

• Design and develop SaaS-based applications based on microservices architecture.
• Work on core backend and ensure it meets the performance benchmarks.
• Work on the front end with ReactJS.
• Designing and developing APIs for the front end to consume.
• Constantly improve the architecture of the application by clearing the technical backlog.
• Meeting both technical and consumer needs.
• Staying abreast of developments in web applications and programming languages.

What are we looking for?

An enthusiastic individual with the following skills. Please do not hesitate to apply if you do not match all of it. We are open to promising candidates who are passionate about their work and are team players.

• Education - BE/MCA or equivalent.
• Overall 4+ years of experience.
• Agnostic/Polyglot with multiple tech stacks.
• Worked on open source technologies – NodeJS, ReactJS, MySQL, NoSQL, MongoDB, DynamoDB.
• Good experience with Front-end technologies like JavaScript frameworks, ReactJS, AngularJS.
• Backend exposure – good knowledge of building API.
• Worked on serverless technologies.
• Efficient in building microservices in combining server & front-end.
• Knowledge of cloud architecture.
• Should have sound working experience with relational and columnar DB.
• Should be innovative and communicative in approach.
• Will be responsible for functional/technical track of a project.

Whom will you work with?

You will closely work with the engineering team and support the Product Team of Plum.

We are

A fast-growing SaaS commerce company based in Bangalore with offices in Delhi, Mumbai, SF, Dubai, Singapore, and Dublin. We have three products in our portfolio: Plum, Empuls and Compass. Company works with over 1000 global clients. We help our clients in engaging and motivating their employees, sales teams, channel partners or consumers for better business results.

Way forward

As a front end product engineer, you will work with product engineers & designers to improve the overall user experience, performance, reliability and scalability of our systems. From handling millions of messages/ payments a minute to extract buyer intent and priority for processing these transactions to building tools to trace and visualize payments made across a business you'll be involved in projects that span all aspects of the business. Our goals includes scaling and architecting systems to support advanced product features that may not be currently viable because of hard technical considerations. You'll collaborate with our small, but effective, framework team with a track record of highly impactful work for Finly.

WITHIN 1 MONTH, YOU'LL

• Complete Finly's new-hire training week, and learn Accounts Payable Processes & the various partners we work with to make Finly happen.
• Investigate, solve and release a bug fix to production. In order to do this you will ramp up on Finly's engineering stack by pair-programming with your teammates and attending engineering training sessions designed and presented by the team.
• Meet with cross-functional peers around the company to learn how the product functions.
• Complete your engineering starter project and deploy your first changes to production.

WITHIN 3 MONTHs, YOU'LL

• Learn Finly's technical stack and apply development patterns through your work.
• Engage in your first on-call rotation in Support Engineering to help diagnose and resolve production problems and customer issues
• Individually contribute reliably ship full features to customers.
• Estimate technical scope and time to complete major features and initiatives.

WITHIN 6 MONTHS, YOU'LL

• Move to new product vertical & initiative and start designing scalable frontend systems.
• Have made a visible impact on the product for all the users of Finly.
• Work closely with your team to remove roadblocks, educate on best practices and improve how we work.
• Be comfortable navigating most of frontend stack and infrastructure
• Be responsible for the planning, scoping, design, and implementation of new features
• Participate in interviewing and hiring, as a way to influence team growth and how our values inform our culture

WITHIN 12 MONTHS, YOU'LL

• Individually contribute and lead teams to reliably ship full improvements to our frontend services
• Define tools and standards for product engineering to measure performance impact of releases
• Drive service reliability by developing tooling that enables metric visibility using SLIs, SLOs, and SLAs
• Developing Production Readiness standards to ensure service reliability
• Help grow other engineers technically by mentoring, pairing and developing other learning opportunities
• Collaborate with engineering and product leadership to define priorities and set delivery goals

Your understanding of front-end technologies, web application dev, system design, will be put to the test. You will take up a project for a team and then move to another project.

Join us & have the authority and responsibility to make things happen!