Senior Data Engineer

• Must be Commerce Graduate
• Should have completed graduation from regular college
• Freshers can apply
• To oversee the planning, tracking, and execution of day-to-day activities within our projects and operations.

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.

Job Description

Counseling the students over the study abroad options & training products of Jamboree.

Being a part of the Inside sales team, the incumbent will be required to ensure maximum on-spot closures from the prospective leads.

Making outbound calls on all the prospective leads generated through various sources.

Meeting weekly/monthly/annual sales targets.

Regular follow-ups with students and parents.

Timely updation of MIS and other dashboards

Desired Candidate Profile

Should have experience working in Education sector in a sales oriented profile where s/he was responsible for admissions/enrollment targets.

Should be comfortable working in a target-oriented role.

Willing to learn, sales acumen, good with numbers.

Self-starter, self -motivated.

We are Social.HR

An early-stage HR-Tech (SaaS) company. We aspire to be the leading self-driven career platform with intelligence. We are putting together a strong team of young individuals. The founders have the vision to create an intelligent, intuitive, and responsive career platform which gives you data-driven career insight and allows you to #BeTheBestYou

Who is?

An Intern will be our go-to person for all research and data-related aspects. You should be a hack who can get things done.

We Look for?

1. 1. Who is going to get hands dirty
2. An outside the box thinker
3. Who is not afraid to challenge the conventional wisdom
4. Moving decisively towards business goals
5. Flexible in managing work-life balance

Are you the right fit?

1. You are awesome at online research
2. You are driven to make documentation and audit look like a piece of cake
3. Full time must
4. Have graduated or finishing up the course

We offer

Do you thrive on working with cutting edge technology, with innovators in the early stages of ideas, products, or platforms? Do you have the passion to be a core member of a fast-growing start-up? Are you an expert or aspiring to become one who can work on the Full Stack of an application? Do you have a genuine interest in all software technologies? If the answer is yes, do reach out to us - Crediwatch is the place for you!

You will be exposed to work on every level of the stack in a highly agile, fast growing, start-up FinTech environment, while ensuring Breakthrough Simplicity in innovation and Diving Deep to arrive at a solution-based approach to problem solving and idea creation.

The environment at Crediwatch is vibrant and innovative! You will learn and regularly interact with peers who are the best at what they do and will motivate you to be the best version of yourself, technically and professionally.

The Role Expectation

• You will play a key role in the development of the core product, working directly with the Business team on realizing their needs and translating it into the product.
• You will be involved in the overall design, architecture and development of the application, maintaining quality and ensuring performance and compliance to software standards and guidelines
• You will adhere to the best practises of the Agile & TDD
• You will collaborate with the rest of the engineering team to design, prioritise and launch new features.
• You will take ownership for organising code and maintain its integrity at all points in time.
• You will be responsible for understanding and implementing security and data protection best practices.
• You will bring in a passion for technology and hunger to learn

You Have

• A sound knowledge of Python, hands-on experience in using Django/Flask etc., design patterns and application design
• Experience with database architectures like NoSQL, RDBMS. Eg: MongoDB/ Cassandra / Couchbase / MySQL
• A good understanding of message queues mechanisms like Redis/RabitMQ (or similar)
• Knowledge of python web crawling frameworks like Scrapy & Frontera
• Hands on experience with CI/CD
• Experience in using Git for source code management & Jira

Good to Have

• Strong Linux skills, knowledge of building large scale, multi-threaded applications and experience in designing and building RESTful web services,
• Building API services with GraphQL
• Skills in configuring and implementing Hadoop/HDFS, Elasticsearch and HBase or knowledge of any graph databases
• Prior experience in architecting large scale distributed systems and experience with cloud deployments on AWS/Azure
• Prior experience working in a fast-paced start-up environment.
• Domain knowledge in the financial/data space; any external, relevant certifications.

Your Background

• At least 6+ years of hands-on development experience
• A bachelor’s or master’s degree in a related field

You Believe-in & will align with our Business Objectives

• Customer Obsession - Consistently listen to customers; test, enhance and improve the customer experience.
• Breakthrough Simplicity - An innovative approach to make everything simpler
• Diving Deep -Technique used to arrive at a solution-based approach to problem solving and idea creation
• Drive for Results - Focus on end result of any task
• Encourage and Improve - Encouraging and promoting team work and focus on continuous self-development at every stage.
• Be Ethical and Respectful - Willingness to do the right thing – even if it is hard; courteousness and being focused on the best in others.

Who We Are

We build innovative technology everyday!

Crediwatch is a ‘Data Insights-as-a-service’ company that provides lenders, businesses with actionable credit intelligence on private entities they need to improve trust and increase their lending and trading activity. Crediwatch does this with no human intervention by deploying the latest practical AI and technology tools that provide the most reliable comprehensive real time inputs.

Each day at Crediwatch is about striving for transparent insights, analysis and accurate results. If this aligns with your interests and aspirations, we have interesting positions for you.

You Will Enjoy

Our start-up environment - fun, casual, informal, family & pet-friendly! Ours is a highly energized playground where brilliant minds come together to make bold, impactful decisions every day! Needless to say, we have excellent filter coffee, health drinks round the clock, lunch buffets, PS4 and Foosball breaks and a stocked kitchen.

We play to win and have fun doing it! We work to engage your brain by organizing brilliant TechTalks by industry leaders and frequent high-on-energy hackathons and engage your crazy fun-side at our well-planned retreats. We are a highly eco-conscious team and we encourage and support our team’s physical & mental wellbeing.

All these and a great set of people to work with - We Are Crediwatch!