Sales Executive

About - The company is an online discovery platform that offers direct-to-home product trials for D2C brands.

Location- Bangalore

Series- B

Responsibilities

• Lead simultaneous development for multiple business verticals.Design & develop highly scalable, reliable, secure, and fault-tolerant systems.Ensure that exceptional standards are maintained in all aspects of engineering.Collaborate with other engineering teams to learn and share best practices.Take ownership of technical performance metrics and strive actively to improve them.Mentors junior members of the team and contributes to code reviews.

Requirements

• A passion to solve tough engineering/data challenges.Be well versed with cloud computing platforms AWS/GCPExperience with SQL technologies (MySQL,PostgreSQL)Experience working with NoSQL technologies (MongoDB,ElasticSearch)Excellent Programming skills in Python/Java/GoLangBig Data streaming services (Kinesis ,Kafka ,RabbitMQ)Distributed cache systems (Redis ,Memcache)Advanced data solutions (BigQuery, RedShift, DynamoDB, Cassandra)Automated testing frameworks and CI/CD pipelinesInfrastructure orchestration(Docker/Kubernetes/Nginx)Cloud-native tech like Lambda,ASG,CDN,ELB,SNS/SQS,S3 Route53 SES

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.

• Execute and manage the company’s brand strategy as well as corresponding brand elements in order to maximize the brand’s equity
• Responsible for the creation and placement of advertising that is in support of the business’s initiatives through media planning, creative development, metrics, market research, and vendor management.
• Drive programs and projects across the various customer touch points to drive customer consideration and trust for our products
• Execute aggressive multi-channel marketing plans to drive customer acquisition and retention
• Take ownership of the brands voice by defining guidelines and best practices across products and platforms
• Work with digital teams to create digital first assets that can help drive acquisition & engagement
• Establish metrics for the purpose of measuring campaign effectiveness against KPI’s.
• The role will report to the Head of Brand marketing

Key skills

• Customer Centricity
• Innovative and creative thought process
• Analytical
• Exposure to Brand Communication and Media Planning
• Prior experience in an internet/digital company, or managing digital first brands is preferred

Industry we can Look at: FMCG/ Consumer Durable/Retail or any B2C

Based Location: Bangalore (work from Office)

Overview

At Netradyne, we are revolutionizing the conventional mapping paradigm with our Dynamic mapping technology. Our unique approach leverages computer vision, Edge Computing, and crowd sourcing to deliver rich, highly accurate content in real-time, critical to the successful development of maps

What you will be doing ?

You will work in a fast-paced environment including multiple platforms, architectures, and technologies. You will be responsible for

• Development of various cloud/web components to ingest, process, transform and visualize data at scale.
• Contribute to algorithm development and automated evaluation for measuring quality.
• Follow engineering best practices (unit testing, continuous delivery etc.)
• Deployment and monitoring of production ready infrastructure

Skills

• Strong analytical and problem-solving skills.
• 3-7 years strong programming experience in Python/Java .
• Hands on knowledge in at least one MVC and ORM frameworks.
• Familiar with at least one frontend framework i.e. React/ Angular
• Working knowledge of at least one RDBMS or NoSQL database.
• Exposure to Geospatial databases and tools like Qgis,OSM will be a plus