Account Manager - Technical Support

• Minimum of 5 years of experience in B2B enterprise sales with atleast 1-2years in a start-up.
• Should have a proven track record of closing complex deals and managing large accounts.
• Strong understanding of the full sales lifecycle, from prospecting to closing, with expertise in consultative selling and solution-based sales
• Strong negotiation and deal-closing abilities, with the capacity to build trust and rapport with high-level stakeholders.
• Strong experience using CRM systems to track and manage sales pipelines, opportunities, and client interactions.
• Should have done a 0 to 1 sales growth story
• Must be handling West region currently and candidates from Mumbai preferred.

 Key Responsibilities

• Design and implement ETL/ELT pipelines using Databricks, PySpark, and AWS Glue
• Develop and maintain scalable data architectures on AWS (S3, EMR, Lambda, Redshift, RDS)
• Perform data wrangling, cleansing, and transformation using Python and SQL
• Collaborate with data scientists to integrate Generative AI models into analytics workflows
• Build dashboards and reports to visualize insights using tools like Power BI or Tableau
• Ensure data quality, governance, and security across all data assets
• Optimize performance of data pipelines and troubleshoot bottlenecks
• Work closely with stakeholders to understand data requirements and deliver actionable insights

🧪 Required Skills

Skill AreaTools & TechnologiesCloud PlatformsAWS (S3, Lambda, Glue, EMR, Redshift)Big DataDatabricks, Apache Spark, PySparkProgrammingPython, SQLData EngineeringETL/ELT, Data Lakes, Data WarehousingAnalyticsData Modeling, Visualization, BI ReportingGen AI IntegrationOpenAI, Hugging Face, LangChain (preferred)DevOps (Bonus)Git, Jenkins, Terraform, Docker

📚 Qualifications

• Bachelor's or Master’s degree in Computer Science, Data Science, or related field
• 3+ years of experience in data engineering or data analytics
• Hands-on experience with Databricks, PySpark, and AWS
• Familiarity with Generative AI tools and frameworks is a strong plus
• Strong problem-solving and communication skills

🌟 Preferred Traits

• Analytical mindset with attention to detail
• Passion for data and emerging technologies
• Ability to work independently and in cross-functional teams
• Eagerness to learn and adapt in a fast-paced environment

🎯 Role Overview

We are a UK-based SaaS company powering online ordering, POS, and mobile apps for restaurants and takeaways. We already serve 1200+ clients on our legacy platform and are migrating to a modern Python-Django, React, Flutter, microservices stack hosted on OVH Cloud.

We’re looking for a hands-on Senior Architect/Lead based in India (preferably Kerala) who can:

• Audit and stabilize our current build,

• Deliver MVP in weeks, not months,

• And evolve into the future CTO of the company.

This role is high-impact: you’ll work closely with the UK leadership team and lead a growing India-based engineering group.

🛠️ Key Responsibilities

• Architecture & Ownership

• Review and refactor existing codebase (Django backend, Flutter apps, React admin).

• Define clean architecture, APIs, and service boundaries.

• Simplify into a stable MVP (modular monolith first, microservices later).

• Delivery Management

• Enforce agile sprints (2-week cycles).

• Set up CI/CD pipelines, test automation, QA cycles.

• Ensure smooth and secure deployments on OVH cloud.

• Hands-On Development

• Lead by example — write/refactor core backend/frontend code.

• Mentor and guide 3 in-house developers (transitioning from PHP/Opencart).

• Scaling & Future Roadmap

• Prepare system for multi-language support, payments, POS integrations.

• Define a 12–24 month tech roadmap aligned with business goals.

• Explore AI-assisted coding/testing to boost team productivity.

• Leadership

• Act as technical counterpart to business leadership in the UK.

• Build and lead a strong India-based engineering team as we scale.

✅ Required Skills & Experience

• 7–10 years professional development experience, with at least 3 years leading teams or projects.

• Strong hands-on expertise in:

• Python-Django (backend, APIs, ORM, migrations)

• Flutter (cross-platform apps)

• React (admin dashboards)

• DevOps (CI/CD, Docker, cloud deployments)

• Proven track record of shipping SaaS products from MVP → production.

• Experience cleaning up/refactoring messy codebases.

• Ability to mentor mid-level and junior devs.

• Bonus: Experience with restaurant/retail tech, POS, or fintech/payments.

🚀 Desirable Traits

• Pragmatic “builder” mindset → knows how to cut complexity and ship fast.

• Hands-on problem solver, not just a PowerPoint architect.

• Ambition to grow into CTO role (lead a larger tech org, own platform strategy).

• Strong communicator — can bridge between UK business team and India dev team.

💼 What We Offer

• Competitive salary for senior-level (₹12 -  ₹18 lakhs INR / year depending on experience).

• Future CTO track opportunity.

• Chance to lead the rebuild of a SaaS platform already trusted by 1200+ businesses.

• Direct collaboration with UK leadership, high ownership and visibility.

📌 How to Apply

Send CV + GitHub/LinkedIn. In your cover note, describe:

• A time you had to rescue a struggling project.

• Your experience with Django + Flutter + React in one product.

• Why you’d want to grow into CTO responsibilities.

About Company

Our client is a community-based marketplace for global wellness entrepreneurs (both in services and products) and consumers. They provide platform and technology to enable sustainable & holistic wellness professionals to be successful. For the consumers, they create health awareness through our enriching content and help them reach their health goals through our world-class Experts, tools, programs and products.

About the role:

As a Performance Marketing Executive, you will devise strategies and empower the company to drive usage, delight customers work towards customer acquisition and retention and grow them. Your goal will be to effectively position and promote the company across channels and drive ambitious goals of achieving a good scale of acquisitions at sustainable costs for them.

Roles & responsilibilities:

• Creating & executing effective convertible performance marketing campaigns.
• Managing budget & campaigns across all digital platforms to drive the desired return on investment.
• Scale and manage CPM and CPI campaigns across multiple channels like Google, Facebook, and affiliates.
• Plan and manage paid social media campaigns and assist content and brand teams.
• Working closely with management to discuss conversion improvement strategies, feedback & results.
• Analyzing sales funnels, trends & understanding customer behaviour.
• Research & implement marketing tools to boost our promotional efforts
• Reporting on marketing KPIs like leads, conversion rates, website traffic, ROAS, social media engagement, etc.

Requirements:

• 1-3 years of experience who has a deep understanding of all facets of content marketing.
• Experience in creating & executing successful campaigns on Facebook, Instagram & Google Adwords.
• You are a highly goal-oriented individual with good communication skills.
• Experienced in other ad platforms like Quora Ads, Reddit Ads, and others.
• Highly analytical with expertise in setting up, running, and reporting on experiments, and always sharing insights rather than just data.
• Expertise with Firebase, GTM, and Google Analytics.
• Experience in generating leads and achieving long-term sustainable growth.
• Experience in working with creative teams to give constructive feedback for performance marketing.
• A strong portfolio to demonstrate your skillset

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.

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