Python
Amazon Web Services (AWS)Review Criteria
- Strong Senior Data Engineer profile
- 4+ years of hands-on Data Engineering experience
- Must have experience owning end-to-end data architecture and complex pipelines
- Must have advanced SQL capability (complex queries, large datasets, optimization)
- Must have strong Databricks hands-on experience
- Must be able to architect solutions, troubleshoot complex data issues, and work independently
- Must have Power BI integration experience
- CTC has 80% fixed and 20% variable in their ctc structure
Preferred
- Worked on Call center data, understand nuances of data generated in call centers
- Experience implementing data governance, quality checks, or lineage frameworks
- Experience with orchestration tools (Airflow, ADF, Glue Workflows), Python, Delta Lake, Lakehouse architecture
Job Specific Criteria
- CV Attachment is mandatory
- Are you Comfortable integrating with Power BI datasets?
- We have an alternate Saturdays working. Are you comfortable to WFH on 1st and 4th Saturday?
Role & Responsibilities
We are seeking a highly experienced Senior Data Engineer with strong architectural capability, excellent optimisation skills, and deep hands-on experience in modern data platforms. The ideal candidate will have advanced SQL skills, strong expertise in Databricks, and practical experience working across cloud environments such as AWS and Azure. This role requires end-to-end ownership of complex data engineering initiatives, including architecture design, data governance implementation, and performance optimisation. You will collaborate with cross-functional teams to build scalable, secure, and high-quality data solutions.
Key Responsibilities-
- Lead the design and implementation of scalable data architectures, pipelines, and integration frameworks.
- Develop, optimise, and maintain complex SQL queries, transformations, and Databricks-based data workflows.
- Architect and deliver high-performance ETL/ELT processes across cloud platforms.
- Implement and enforce data governance standards, including data quality, lineage, and access control.
- Partner with analytics, BI (Power BI), and business teams to enable reliable, governed, and high-value data delivery.
- Optimise large-scale data processing, ensuring efficiency, reliability, and cost-effectiveness.
- Monitor, troubleshoot, and continuously improve data pipelines and platform performance.
- Mentor junior engineers and contribute to engineering best practices, standards, and documentation.
Ideal Candidate
- Proven industry experience as a Senior Data Engineer, with ownership of high-complexity projects.
- Advanced SQL skills with experience handling large, complex datasets.
- Strong expertise with Databricks for data engineering workloads.
- Hands-on experience with major cloud platforms — AWS and Azure.
- Deep understanding of data architecture, data modelling, and optimisation techniques.
- Familiarity with BI and reporting environments such as Power BI.
- Strong analytical and problem-solving abilities with a focus on data quality and governance
- Proficiency in python or another programming language in a plus.
Shubham Vishwakarma
Full Stack Developer - Averlon
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JOB BRIEF:
We are looking for a resilient, empathic business development executive to contribute to the growth of our company. Business development executives are responsible for finding and retaining clients, encouraging extant clients to purchase added products or features, and remaining abreast of changes in consumption. You will also be required to build capacity in staff through regular training and mentorship.
Role: Business Development Executive
Education: Bachelor’s degree/Master’s degree
Experience: Min 3+ years
Employment Type: Full Time, Permanent
Role Category: Marketing
RESPONSIBILITIES:
- Familiarizing yourself with all products and services offered by our company.
- Procuring new clients through direct contact, Linked in, Upwork, and collaboration with the marketing department.
- Attending networking activities to research and connect with prospective clients.
- Maintaining meaningful relationships with existing clients to ensure that they are retained.
- Suggesting upgrades or added products and services that may be of interest to clients.
- Crafting business proposals and contracts to draw in more revenue from clients.
- Negotiating with clients to secure the most attractive prices.
- Equipping staff with the technical and social skills needed to enhance sales.
- Reviewing clients' feedback and implementing necessary changes.
- Remaining in tune with trends in consumption to ensure that our offerings remain relevant.
REQUIREMENTS:
- Degree in marketing, business administration, or similar.
- Extensive sales experience.
- Intuitive and insightful, particularly regarding human behaviour.
- Ability to generate revenue by identifying pain points and suggesting suitable products or services.
- Professional yet affable disposition.
- Great networking skills.
- Familiar with Upwork, Guru & other Freelancing sites
- Excellent written and verbal communication.
- Resourceful, with outstanding research skills.
- Emboldened by challenges.
ABOUT GO BRILLIANT
- A diverse workplace in which employees are heard, valued, and engaged
- Opportunities to work in Global projects and to interact with clients from around the world
- Flexible work hours and work-life balance
- Competitive base pay, as well as bonuses that rewards individual performance
- Career progression and appreciation for excellent performers
- Opportunities to work on projects using the latest technologies and tools
- Employer-sponsored training and coaching within India and Abroad
Deep LearningWe are looking for a highly capable machine learning engineer to optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.
To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in a related ML role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software.
Machine Learning Engineer Responsibilities:
Consulting with managers to determine and refine machine learning objectives.
Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
Transforming data science prototypes and applying appropriate ML algorithms and tools.
Ensuring that algorithms generate accurate user recommendations.
Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.
Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
Developing ML algorithms to analyze huge volumes of historical data to make predictions.
Running tests, performing statistical analysis, and interpreting test results.
Documenting machine learning processes.
Keeping abreast of developments in machine learning.
Machine Learning Engineer Requirements:
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Master’s degree in computational linguistics, data analytics, or similar will be advantageous.
At least two years' experience as a machine learning engineer.
Advanced proficiency with Python, Java, and R code writing.
Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
In-depth knowledge of mathematics, statistics, and algorithms.
Superb analytical and problem-solving abilities.
Great communication and collaboration skills.
Excellent time management and organizational abilities.
Support at Exotel is different. The goal is not just to deliver help to our customers, but to deliver happiness. It's not the same questions over and over again, and often involves researching/understanding the business side of how companies use our platform to build their communication applications and help accordingly.
Providing time-sensitive help to meet the customer’s needs during each interaction is of utmost importance.
About us
Exotel is one of Southeast Asia’s largest cloud telephony companies. Our aim is to change the way enterprises look at customer communication. We build the best in class communication products that power the companies of today and tomorrow. Our technology enables customer communication for our clients such as Uber, Ola, Go-Jek, Redbus, Flipkart, Quikr, Practo,Lazada, Redmart, to name a few.
We are a young company with humble beginnings in 2011 that grew from a 3 member team to 150+ employees in 2018. Our technology has connected 85 million people, powered 1.2 billion customer calls, powered 3.2 billion voice API calls, 3.2 billion business SMS powered. Read our 2018 growth story https://2018.exotel.com/">here.
About the Role
Customer Happiness is one of our key differentiators. In this role you will be the customer champion for Exotel, thrive to create great customer experience while responding to customer inquiries, resolving their queries and ensure all the agreed SLA’s are met consistently. In this role, you will be working with internal and external stakeholders with high level of ownership on your deliverables with customer first approach.
What we are looking for?
- You're empathetic to customers and can easily put yourself in their shoes. You listen and understand well. You’re smart and know that not everyone comes with the same skill sets and help people whether they are technically inclined or not. Your job is to make the customer feel empowered and happy after each interaction.
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- You have dual qualities of time management, patience and ability to speak to customers with confidence and conviction.
- You write well. You know exactly what word or punctuation to use based on the context.
- As we are an API driven company, you either know how applications are built using APIs or have a keen interest to learn.
Why should you join us?
- You want to be an enabler for business success with an appetite for steep learning.
- You enjoy mentoring and coaching teams, take pride in teams success.
- You enjoy solving problems and thrive for excellence
What will you do?
- You’ll be our Product Champ in all areas. Providing solutions to different problems of clients by taking help of different internal tools, coordinating with Tech Support (this is one team with whom you’ll be working the most), Network operations, Customer Success, Product and Finance teams.
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- Ensure that all the related notes/ call comments are properly documented and suitable information is provided to clients.
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Google AnalyticsAbout the Role
We operate in an industry where parents are constantly seeking information for the education or parenting of their kids. Thereby a parent must always get the right information on priority when researching online. We are hence looking for an SEO and content specialist who can enable us to become the top-ranked site in this sector in India.
What you will do
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- Research and implement On page and Off page optimization recommendations
- Research and analyze competitor advertising links
- Develop and implement link building strategy
- Work with the development team to ensure SEO best practices are properly implemented on newly developed code
- Work with editorial and marketing teams to drive SEO in content creation and content programming
- Recommend changes to website architecture, content, linking and other factors to improve SEO positions for target keywords.
- Up-to-date with the latest trends and best practices in SEO
What you will need
- Minimum a Bachelor's degree in Engineering, master’s degree is preferred
- Proven 4+ years of SEO experience
- In-depth experience with website analytics tools (e.g, Google Analytics, NetInsight, Omniture, WebTrends, Search Console, SEMrush)
- Working knowledge of HTML, CSS, and JavaScript development and constraints
- Knowledge of ranking factors and search engine algorithms
- #hustle
What you will get
- Ground-level view of building out a global EdTech company that is going to impact hundreds of thousands of lives
- Be a part of the core team that drives the growth of the company
- Phenomenal work environment, with massive ownership and great growth opportunities
Location
Mumbai (office)
React.js
Javascript
NodeJS (Node.js)Amazon Web Services (AWS)
MongoDBWe are currently hiring a Frontend developer for a startup in the B2C marketplace space based out of Mumbai. This startup is an Online Marketplace, that serves as a Discovery and Booking Platform for Kids’ Activity Classes. Operations were launched in November 2019, and have over 20KParents and 500+ educators listed on our Platform across the major Tier-I and Tier-II cities in India.
Platform details are listed below :
- A SaaS platform for educators to simplify the management of their classes and
workshops. Educators get access to a dashboard and use our Class Management tool
to create listings, view registrations, manage bookings and payments. The dashboard
also provides analytics for teachers to track visitor traffic, see drop offs and
understand which social media channel generates maximum ROI for them.
- Discovery & Booking Platform for parents so that they can search, view and book
classes and workshops for their children.
Top 2 role must have’s
- You should have REACT JS experience of building a product
- You should be willing to work in a very early stage startup( Not funded yet)
Tech skills required for this role:
- Front end design in REACT JS at least 1.5 years
- AWS server
- Mongo Database
- API's written in Nodejs
Data Science
Machine Learning (ML)XressBees – a logistics company started in 2015 – is amongst the fastest growing companies of its sector. Our
vision to evolve into a strong full-service logistics organization reflects itself in the various lines of business like B2C
logistics 3PL, B2B Xpress, Hyperlocal and Cross border Logistics.
Our strong domain expertise and constant focus on innovation has helped us rapidly evolve as the most trusted
logistics partner of India. XB has progressively carved our way towards best-in-class technology platforms, an
extensive logistics network reach, and a seamless last mile management system.
While on this aggressive growth path, we seek to become the one-stop-shop for end-to-end logistics solutions. Our
big focus areas for the very near future include strengthening our presence as service providers of choice and
leveraging the power of technology to drive supply chain efficiencies.
Job Overview
XpressBees would enrich and scale its end-to-end logistics solutions at a high pace. This is a great opportunity to join
the team working on forming and delivering the operational strategy behind Artificial Intelligence / Machine Learning
and Data Engineering, leading projects and teams of AI Engineers collaborating with Data Scientists. In your role, you
will build high performance AI/ML solutions using groundbreaking AI/ML and BigData technologies. You will need to
understand business requirements and convert them to a solvable data science problem statement. You will be
involved in end to end AI/ML projects, starting from smaller scale POCs all the way to full scale ML pipelines in
production.
Seasoned AI/ML Engineers would own the implementation and productionzation of cutting-edge AI driven algorithmic
components for search, recommendation and insights to improve the efficiencies of the logistics supply chain and
serve the customer better.
You will apply innovative ML tools and concepts to deliver value to our teams and customers and make an impact to
the organization while solving challenging problems in the areas of AI, ML , Data Analytics and Computer Science.
Opportunities for application:
- Route Optimization
- Address / Geo-Coding Engine
- Anomaly detection, Computer Vision (e.g. loading / unloading)
- Fraud Detection (fake delivery attempts)
- Promise Recommendation Engine etc.
- Customer & Tech support solutions, e.g. chat bots.
- Breach detection / prediction
An Artificial Intelligence Engineer would apply himself/herself in the areas of -
- Deep Learning, NLP, Reinforcement Learning
- Machine Learning - Logistic Regression, Decision Trees, Random Forests, XGBoost, etc..
- Driving Optimization via LPs, MILPs, Stochastic Programs, and MDPs
- Operations Research, Supply Chain Optimization, and Data Analytics/Visualization
- Computer Vision and OCR technologies
The AI Engineering team enables internal teams to add AI capabilities to their Apps and Workflows easily via APIs
without needing to build AI expertise in each team – Decision Support, NLP, Computer Vision, for Public Clouds and
Enterprise in NLU, Vision and Conversational AI.Candidate is adept at working with large data sets to find
opportunities for product and process optimization and using models to test the effectiveness of different courses of
action. They must have knowledge using a variety of data mining/data analysis methods, using a variety of data tools,
building, and implementing models, using/creating algorithms, and creating/running simulations. They must be
comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion
for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Roles & Responsibilities
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Building cloud services in Decision Support (Anomaly Detection, Time series forecasting, Fraud detection,
Risk prevention, Predictive analytics), computer vision, natural language processing (NLP) and speech that
work out of the box.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Build core of Artificial Intelligence and AI Services such as Decision Support, Vision, Speech, Text, NLP, NLU,
and others.
● Leverage Cloud technology –AWS, GCP, Azure
● Experiment with ML models in Python using machine learning libraries (Pytorch, Tensorflow), Big Data,
Hadoop, HBase, Spark, etc
● Work with stakeholders throughout the organization to identify opportunities for leveraging company data to
drive business solutions.
● Mine and analyze data from company databases to drive optimization and improvement of product
development, marketing techniques and business strategies.
● Assess the effectiveness and accuracy of new data sources and data gathering techniques.
● Develop custom data models and algorithms to apply to data sets.
● Use predictive modeling to increase and optimize customer experiences, supply chain metric and other
business outcomes.
● Develop company A/B testing framework and test model quality.
● Coordinate with different functional teams to implement models and monitor outcomes.
● Develop processes and tools to monitor and analyze model performance and data accuracy.
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Deliver machine learning and data science projects with data science techniques and associated libraries
such as AI/ ML or equivalent NLP (Natural Language Processing) packages. Such techniques include a good
to phenomenal understanding of statistical models, probabilistic algorithms, classification, clustering, deep
learning or related approaches as it applies to financial applications.
● The role will encourage you to learn a wide array of capabilities, toolsets and architectural patterns for
successful delivery.
What is required of you?
You will get an opportunity to build and operate a suite of massive scale, integrated data/ML platforms in a broadly
distributed, multi-tenant cloud environment.
● B.S., M.S., or Ph.D. in Computer Science, Computer Engineering
● Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc.
● Experience with building high-performance, resilient, scalable, and well-engineered systems
● Experience in CI/CD and development best practices, instrumentation, logging systems
● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
from large data sets.
● Experience working with and creating data architectures.
● Good understanding of various machine learning and natural language processing technologies, such as
classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.
● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest,
Boosting, Trees, text mining, social network analysis, etc.
● Knowledge on using web services: Redshift, S3, Spark, Digital Ocean, etc.
● Knowledge on creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Knowledge on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics,
AdWords, Crimson Hexagon, Facebook Insights, etc.
● Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Kafka etc.
● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
D3, ggplot, Tableau etc.
● Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
● Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests, and proper usage, etc.) and experience with applications.
● Experience building data pipelines that prep data for Machine learning and complete feedback loops.
● Knowledge of Machine Learning lifecycle and experience working with data scientists
● Experience with Relational databases and NoSQL databases
● Experience with workflow scheduling / orchestration such as Airflow or Oozie
● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
● Strong Data Engineering & ETL skills to build scalable data pipelines. Exposure to data streaming stack (e.g.
Kafka)
● Relevant experience in fine tuning and optimizing ML (especially Deep Learning) models to bring down
serving latency.
● Exposure to ML model productionzation stack (e.g. MLFlow, Docker)
● Excellent exploratory data analysis skills to slice & dice data at scale using SQL in Redshift/BigQuery.
Our client is one of the most innovative and fast growing InsureTech platforms that offers contextual insurance in a blink.
We are a team of consumer obsessed & driven people. We want to reimagine insurance through a consumption lens for millions. We are a B2C and B2B2C platform that wants to simplify the way insurance is experienced with principles of transparency, trust and contextualization. The multiple ideas that we are building upon are all about an experience beyond the way insurance is understood or sold at present in India.
Roles & Responsibilities:
1. Stakeholder management:- Managing the existing partners on Ecosystem. With customers at the core, ensuring that the best propositions from the partners are being sourced & enhanced for the end users
2. Business Development:- Originating new partners on the Ecosystem while ensuring that commercials are sorted out
3. Strategize member enrolment programme and lead cross-functional teams to deliver on mutually agreed targets
4. Work alongside the Data team to build unique dashboards for internal reviews and channelise data towards the partners
5. Work with the Product team to co-build various capabilities on the platform
6. Work with the marketing team to design campaigns & attractive promotions for enrolments.
Required Skills and Qualifications
- 5+ years of experience in a similar role with Digital platforms or digital roles
- MBA from Top B schools
- Eye for a consumer's mindset
- Experience of working in digital first platforms or differentiated build-outs
- Data driven approach to decision making
- Ability to multitask and work on a diverse range of requirements.
Work Location: Hybrid - Mumbai
About the Ecosystem Platform:
We are building India's largest mobility ecosystem embedded with features that all vehicle owners are going to love & use frequently. This would be a digital-only platform covering entire India and empowering the complete range of vehicles. In the last 3 months while being in stealth mode, we have scaled this platform to over 160,000 vehicles which range from Maserati & Rolls Royce to Suzuki & Hyundai on 4-wheelers and Harley Davidson & KT to Hero & TVS. This platform represents India's largest pool of data w.r.t. vehicles and aspires to build a strong bond between various brands and their end users over our Mobility Ecosystem. On a daily basis, we are registering new members every day to enjoy the benefits currently offered.
Our plan is to scale this to over 10mn members in the next 24 months and empower this with various experiences in an end-to-end manner. This is a very exciting platform which could give an opportunity to complete imagination
A sneak peak into the opportunity:
- 7+ million active customer base in our company (Mostly acquired in last 6 months)
- Created community for 2 & 4 Wheeler vehicle owners (currently in the beta version and onboarded 120K+ users in no time)
- A rapidly growing team in tech + product with some of the finest folks in the industry - A rapidly growing team of Sales, Marketing, Tech and PMs
- An opportunity to build products that influence insurance awareness and buying at the grassroot level.
Regards
Team Merito
2. supporting administrative staff
3. conducting marketing research
4. documentation and reporting to the operations department
- Define best strategies for product development
- Product road maps
- Wireframing
- should have 15 plus years exp
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon