
About Quadratyx:
We are a product-centric insight & automation services company globally. We help the world’s organizations make better & faster decisions using the power of insight & intelligent automation. We build and operationalize their next-gen strategy, through Big Data, Artificial Intelligence, Machine Learning, Unstructured Data Processing and Advanced Analytics. Quadratyx can boast more extensive experience in data sciences & analytics than most other companies in India.
We firmly believe in Excellence Everywhere.
Job Description
Purpose of the Job/ Role:
• As a Technical Lead, your work is a combination of hands-on contribution, customer engagement and technical team management. Overall, you’ll design, architect, deploy and maintain big data solutions.
Key Requisites:
• Expertise in Data structures and algorithms.
• Technical management across the full life cycle of big data (Hadoop) projects from requirement gathering and analysis to platform selection, design of the architecture and deployment.
• Scaling of cloud-based infrastructure.
• Collaborating with business consultants, data scientists, engineers and developers to develop data solutions.
• Led and mentored a team of data engineers.
• Hands-on experience in test-driven development (TDD).
• Expertise in No SQL like Mongo, Cassandra etc, preferred Mongo and strong knowledge of relational databases.
• Good knowledge of Kafka and Spark Streaming internal architecture.
• Good knowledge of any Application Servers.
• Extensive knowledge of big data platforms like Hadoop; Hortonworks etc.
• Knowledge of data ingestion and integration on cloud services such as AWS; Google Cloud; Azure etc.
Skills/ Competencies Required
Technical Skills
• Strong expertise (9 or more out of 10) in at least one modern programming language, like Python, or Java.
• Clear end-to-end experience in designing, programming, and implementing large software systems.
• Passion and analytical abilities to solve complex problems Soft Skills.
• Always speaking your mind freely.
• Communicating ideas clearly in talking and writing, integrity to never copy or plagiarize intellectual property of others.
• Exercising discretion and independent judgment where needed in performing duties; not needing micro-management, maintaining high professional standards.
Academic Qualifications & Experience Required
Required Educational Qualification & Relevant Experience
• Bachelor’s or Master’s in Computer Science, Computer Engineering, or related discipline from a well-known institute.
• Minimum 7 - 10 years of work experience as a developer in an IT organization (preferably Analytics / Big Data/ Data Science / AI background.

About Quadratic Insights
About
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Role Overview
We are looking for a highly capable AI Engineer who is passionate about building production-grade AI systems, designing scalable ML architecture, and working with cutting-edge AI/ML tools. This role involves hands-on work with Databricks, SQL, PySpark, modern LLM/GenAI frameworks, and full lifecycle ML system design.
Key Responsibilities
Machine Learning & AI Development
- Build, train, and optimize ML models for forecasting, recommendation, personalization, churn prediction, inventory optimization, anomaly detection, and pricing intelligence.
- Develop GenAI solutions using modern LLM frameworks (e.g., LangChain, LlamaIndex, HuggingFace Transformers).
- Explore and implement RAG (Retrieval Augmented Generation) pipelines for product search, customer assistance, and support automation.
- Fine-tune LLMs on company-specific product and sales datasets (using QLoRA, PEFT, and Transformers).
- Develop scalable feature engineering pipelines leveraging Delta Lake and Databricks Feature Store.
Databricks / Data Engineering
- Build end-to-end ML workflows on Databricks using PySpark, MLflow, Unity Catalog, Delta Live Tables.
- Optimize Databricks clusters for cost, speed, and stability.
- Maintain reusable notebooks and parameterized pipelines for model ingestion, validation, and deployment.
- Use MLflow for tracking experiments, model registry, and lifecycle management.
Data Handling & SQL
- Write advanced SQL for multi-source data exploration, aggregation, and anomaly detection.
- Work on large, complex datasets from ERP, POS, CRM, Website, and Supply Chain systems.
- Automate ingestion of streaming and batch data into Databricks pipelines.
Deployment & MLOps
- Deploy ML models using REST APIs, Databricks Model Serving, Docker, or cloud-native endpoints.
- Build CI/CD pipelines for ML using GitHub Actions, Azure DevOps, or Databricks Workflows.
- Implement model monitoring for drift, accuracy decay, and real-time alerts.
- Maintain GPU/CPU environments for training workflows.
Must-Have Technical Skills
Core AI/ML
- Strong fundamentals in machine learning: regression, classification, time-series forecasting, clustering.
- Experience in deep learning using PyTorch or TensorFlow/Keras.
- Expertise in LLMs, embeddings, vector databases, and GenAI architecture.
- Hands-on experience with HuggingFace, embedding models, and RAG.
Databricks & Big Data
- Hands-on experience with Databricks (PySpark, SQL, Delta Lake, MLflow, Feature Store).
- Strong understanding of Spark execution, partitioning, and optimization.
Programming
- Strong proficiency in Python.
- Experience writing high-performance SQL with window functions, CTEs, and analytical queries.
- Knowledge of Git, CI/CD, REST APIs, and Docker.
MLOps & Production Engineering
- Experience deploying models to production and monitoring them.
- Familiarity with tools like MLflow, Weights & Biases, or SageMaker equivalents.
- Experience in building automated training pipelines and handling model drift/feedback loops.
Preferred Domain Experience
- Retail/e-commerce analytics
- Demand forecasting
- Inventory optimization
- Customer segmentation & personalization
- Price elasticity and competitive pricing
2-5 years with technical hands-on experience in building large-scale B2C applications catering
to millions of users. Previous experience in building scalable products is a must
What you will do:
Be a part of our backend for frontend/ credit card processing engineering teams to build the
best homegrown credit card stack
Partner with the product teams to understand the product features and specifications, translate
them into high level and low-level design
Work with frontend and backend developers to build out a customer-centric experience that will
constantly evolve
Respond to support team tickets as needed to resolve bugs and issues
Participate in contributing ideas, updates, and product development areas to the team
Technical Expertise:
Strong insight into Java programming language (Class loading, Memory
Management, Transactions, Executors, Lambdas and Streams)
Experience in distributed technologies, real-time, high throughput and low latency
systems
Hands-on prior experience with scalable Cloud based architectures
Experience in one or more frameworks like Spring is a plus but not required
Proficiency in data structures & algorithms
Strong problem solving and analytical skills
Any experience in payments is a plu
Role Description
This is a full-time hybrid role as a GCP Data Engineer,. As a GCP Data Engineer, you will be responsible for managing large sets of structured and unstructured data and developing processes to convert data into insights, information, and knowledge.
Skill Name: GCP Data Engineer
Experience: 7-10 years
Notice Period: 0-15 days
Location :-Pune
If you have a passion for data engineering and possess the following , we would love to hear from you:
🔹 7 to 10 years of experience working on Software Development Life Cycle (SDLC)
🔹 At least 4+ years of experience in Google Cloud platform, with a focus on Big Query
🔹 Proficiency in Java and Python, along with experience in Google Cloud SDK & API Scripting
🔹 Experience in the Finance/Revenue domain would be considered an added advantage
🔹 Familiarity with GCP Migration activities and the DBT Tool would also be beneficial
You will play a crucial role in developing and maintaining our data infrastructure on the Google Cloud platform.
Your expertise in SDLC, Big Query, Java, Python, and Google Cloud SDK & API Scripting will be instrumental in ensuring the smooth operation of our data systems..
Join our dynamic team and contribute to our mission of harnessing the power of data to make informed business decisions.
Hi, Connections!
📢WE ARE #HIRING!📢
👉ROLE : Engineer / Senior Software Engineer, .NET Core with Angular9+ to 14.
👉Position: #hybrid
👉 Location: #pune
👉Job Responsibilities:
● Develop full-stack features and rapid prototypes
● Develop enhancements to existing software products
● Develop API integrations to external solutions
● Work in a team and communicate successes and challenges quickly and objectively
● Create relevant documentation for deliverables in Jira and SharePoint
👉Experience Required:
➡️ Excellent analytical and troubleshooting skills
➡️ 3+ years of software engineering experience
➡️ 3+ years of back-end experience with C#, .NET Core (C API preferred), ASP.NET Core, SQL, RESTful, web services and microsevices
➡️ 1+ years of front-end experience with Angular9+ to14 , RxJS, TypeScript,HTML5, CSS3 ,SCSS
➡️ 3+ years of experience with Web Workers and WebSockets
➡️ 3+ years of experience with SQL and any NoSQL database with eventual consistency
👉Apply Link : https://lnkd.in/diNDDP8h
Key Responsibilities :
1. Work closely with client and team and understanding the requirement, design, analyze and do the code changes
2.Helping team and client to resolve issues
3.Should able to handle day to day activity like team management, daily meeting
Technical Experience :
- Net development work experience
- Proficiency in NET Development with Net Core.
- Strong object-oriented programming OOPS design skills, SOLID principles and proficiency in software design patterns
- Experience in database MS SQL Server, No SQL
- Solid understanding of Microservices
- Good understanding Azure, Docker and Kubernetes
- Experience with version control systems GitHub and Bitbucket
Professional Attributes :
1.Should have good communication Skills
2.Should be good team player
3.Should be able to work independently and under pressure
4.Should have good logical and analytical thinking
We are seeking a passionate DevOps Engineer to help create the next big thing in data analysis and search solutions.
You will join our Cloud infrastructure team supporting our developers . As a DevOps Engineer, you’ll be automating our environment setup and developing infrastructure as code to create a scalable, observable, fault-tolerant and secure environment. You’ll incorporate open source tools, automation, and Cloud Native solutions and will empower our developers with this knowledge.
We will pair you up with world-class talent in cloud and software engineering and provide a position and environment for continuous learning.
Responsibilities:
- Produce well-researched content for publication online and in print
- Communicate using industry best practices
- Follow an editorial calendar, collaborating with team members to ensure timely delivery of materials
- Develop content for multiple platforms, like websites, email, datasheets, case studies, videos, and blogs
- Use SEO strategies and make the content keyword optimized to maximize the online visibility of the content in search results
- Draft responses to technical proposals with inputs from technical team
Eligibility Criteria
- 2-3 years of experience in working as a Technical Writer/Content Writer
- Proven expertise of writing impeccable English
- Ability to work independently with little or no daily supervision
- Good time management skills
- Graduate or Post Graduate
- Manage sales operations in assigned district to achieve revenue goals.
- Supervise sales team members; the BSMs, on daily basis and provide guidance whenever needed.
- Identify skill gaps and conduct trainings to sales team.
- Work with team to implement new sales techniques to obtain profits.
- Assist in employee recruitment, promotion, retention and termination activities.
- Conduct employee performance evaluation and provide feedback for improvements.
- Contact potential customers and identify new business opportunities.
- Stay abreast with customer needs, market trends and competitors.
- Maintain clear and complete sales reports for management review.
- Build strong relationships with customers for business growth.
- Analyze sales performances and recommend improvements.
- Ensure that sales team follows company policies and procedures at all times.
- Develop promotional programs to increase sales and revenue.
- Plan and coordinate sales activities for assigned projects.
- Provide outstanding services and ensure customer satisfaction.









