VC++ Developer

Strong Software Development & DSA Profile

Mandatory (Experience): Must have 5+ YOE in Software Devleopment (preferably in product-based companies).

Mandatory (Skills 1): Must have strong expertise in scalable systems and applied DSA

Mandatory (Skills 2): Must have strong understanding of System Design (like HLD, LLD, microservices, caching, database scaling)

Mandatory (Exclusion): Don't source from Physicswallah and Scaler (No hire policy)

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.

* Candidates must have Real Estate Knowledge,

* In-house drafting of all Documents MOU, Agreement to Sell, Sale Deeds, payment collections, and the bank loan process.

* Should have a minimum experience of 2 to 7 years in CRM and managing teams.

* handled Real Estate CRM.

Preferred candidate profile

* Candidate must have Real Estate Knowledge with min 2 - 4 years of experience.

* In-house drafting of all Documents MOU, Agreement to Sell, Sale Deeds, payment collections, and the bank loan process.

* Collections, preparation documentation, Bank docs.

A candidate with 2 to 6 years of relevant experience in Snowflakes Data Cloud.

Mandatory Skills:

• Excellent knowledge in Snowflakes Data Cloud.

• Excellent knowledge in SQL

• Good knowledge in ETL

• Must have working knowledge of Azure Data Factory

• Must have general awareness of Azure Cloud

• Must be aware of optimization techniques in Data retrieval and Data loading.

• BE/ B.Tech/ MCA/ BCA
• Strong organizational and project management skills.
• Proficiency with fundamental front-end languages such as HTML, CSS, and JavaScript.
• Familiarity with JavaScript frameworks such as Angular JS, React
• Familiarity with database technology such as MySQL, Oracle, and MongoDB.
• Excellent verbal communication skills.
• Good problem-solving skills.
• Attention to detail.

• Architect new systems and improve existing ones by instrumenting best practices and technologies.
• Identify and build automated tools for release management, deployment, monitoring and reporting
• Identity and implement latest technologies and frameworks for application system stack, deployments, automation, capacity management, resource orchestration and availability.
• Responsible for fixing support escalation cases and conducting post-incident reviews / Root Cause Analysis.

JOB DESCRIPTION

Full Stack Developer Responsibilities:

• Developing front-end website architecture.
• Designing user interactions on web pages.
• Developing back-end website applications.
• Creating servers and databases for functionality.
• Ensuring cross-platform optimization for mobile phones.
• Ensuring responsiveness of applications.
• Seeing through a project from conception to finished product
• Meeting both technical and consumer needs.
• Staying abreast of developments in web applications and programming languages.

Requirements:

• Degree in computer science, I.T
• Strong organizational and project management skills.
• Proficiency with fundamental front-end languages such as HTML, CSS, JavaScript, WordPress
• Proficiency with PHP
• Familiarity with database technology such as MySQL, Oracle, and MongoDB.
• Excellent verbal communication skills.
• Good problem-solving skills.
• Attention to detail.

About Company:

ESDA is a Software Development firm with a mission of providing innovative services and a vision of serving clients across the globe. It is a customer-centric Information Technology Company that specializes in Business Application Development. ESDA’s offerings are highly customizable and scalable. It also provides Web Development services and believes in providing 360-degree support to its clients. ESDA provides Web Development services like Web Designing, App Development, Digital Marketing, Graphic Designing, Hosting, Time and Material, and Gap Analysis Consultancy apart from these services, it is also working towards launching applications/software for the online market as its products.