11+ Joint application design Jobs in India

About the Role

The following Job Specification is intended to reflect the nature, range and context of the work. It identifies the main requirements of the job but is not an exhaustive list of duties.

The Data Analyst role is a vital role as to be a sole point of contact responsible for closely working with various teams internally and closely working with the CTO.  This role typically requires the resource to analyse the vast number of datasets and provide a meaningful impact and the result of such data with combination of growth of the company to the management. The role handles large responsibilities of closely communicating with other departments, thus must be someone who really loves his role.

Job Description

• Interpret data, analyze results using statistical techniques and provide ongoing reports
• Develop and implement, data analytics and other strategies that optimize statistical efficiency and quality
• Strong experience at working on databases and good at analytical reasoning
• Acquire data from Finance, Technology, Marketing and Sales data sources and maintain data systems
• Identify, analyze, and interpret trends or patterns in complex data sets
• Should be able to highlight Incorrect data and record the pattern of Drawbacks relating to the cleansing of data modules
• Must be involved in reconciliation of data sets and components across verticals depending on the need
• Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
• Work with the management to prioritize business and information needs
• Locate and define new process improvement opportunities

Required Skills:

• Proven working experience as a data analyst or business data analyst
• Sound experience in MySQL, Postgres, Oracle databases and fluent in SQL scripts
• https://resources.workable.com/data-scientist-analysis-interview-questions">Technical expertiseregarding data models, database design development, data mining and segmentation techniques
• Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
• Strong https://resources.workable.com/analytical-skills-interview-questions">analytical skillswith the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Adept at queries, report writing and presenting findings
• BS in Mathematics, Economics, Computer Science, Information Management or Statistics

Review Criteria

• Strong Data Scientist/Machine Learnings/ AI Engineer Profile
• 2+ years of hands-on experience as a Data Scientist or Machine Learning Engineer building ML models
• Strong expertise in Python with the ability to implement classical ML algorithms including linear regression, logistic regression, decision trees, gradient boosting, etc.
• Hands-on experience in minimum 2+ usecaseds out of recommendation systems, image data, fraud/risk detection, price modelling, propensity models
• Strong exposure to NLP, including text generation or text classification (Text G), embeddings, similarity models, user profiling, and feature extraction from unstructured text
• Experience productionizing ML models through APIs/CI/CD/Docker and working on AWS or GCP environments
• Preferred (Company) – Must be from product companies

Job Specific Criteria

• CV Attachment is mandatory
• What's your current company?
• Which use cases you have hands on experience?
• Are you ok for Mumbai location (if candidate is from outside Mumbai)?
• Reason for change (if candidate has been in current company for less than 1 year)?
• Reason for hike (if greater than 25%)?

Role & Responsibilities

• Partner with Product to spot high-leverage ML opportunities tied to business metrics.
• Wrangle large structured and unstructured datasets; build reliable features and data contracts.
• Build and ship models to:
• Enhance customer experiences and personalization
• Boost revenue via pricing/discount optimization
• Power user-to-user discovery and ranking (matchmaking at scale)
• Detect and block fraud/risk in real time
• Score conversion/churn/acceptance propensity for targeted actions
• Collaborate with Engineering to productionize via APIs/CI/CD/Docker on AWS.
• Design and run A/B tests with guardrails.
• Build monitoring for model/data drift and business KPIs

Ideal Candidate

• 2–5 years of DS/ML experience in consumer internet / B2C products, with 7–8 models shipped to production end-to-end.
• Proven, hands-on success in at least two (preferably 3–4) of the following:
• Recommender systems (retrieval + ranking, NDCG/Recall, online lift; bandits a plus)
• Fraud/risk detection (severe class imbalance, PR-AUC)
• Pricing models (elasticity, demand curves, margin vs. win-rate trade-offs, guardrails/simulation)
• Propensity models (payment/churn)
• Programming: strong Python and SQL; solid git, Docker, CI/CD.
• Cloud and data: experience with AWS or GCP; familiarity with warehouses/dashboards (Redshift/BigQuery, Looker/Tableau).
• ML breadth: recommender systems, NLP or user profiling, anomaly detection.
• Communication: clear storytelling with data; can align stakeholders and drive decisions.

3 to 6 years of hands-on experience in full-stack web application development

Strong proficiency in Ruby programming language

Mandatory hands-on experience with Ruby on Rails framework

Strong working experience in React.js and modern frontend development

Solid understanding and practical experience with SQL databases

Good knowledge of HTTP protocol and RESTful architecture

Experience in building scalable, secure, and maintainable web applications

Ability to write robust unit tests and ensure high code quality

Strong analytical, debugging, and problem-solving skills

Familiarity with OWASP principles and web security best practices

Experience working with CI/CD processes and automated testing

Deep understanding of software design principles

Proven ability to collaborate effectively in cross-functional teams

Full-Stack Machine Learning Engineer

Role: Full-Time, Long-Term Required: Python Preferred: C++

OVERVIEW

We are seeking a versatile ML engineer to join as a core member of our technical team. This is a long-term position for someone who wants to build sophisticated production systems and grow with a small, focused team. You will work across the entire stack—from data ingestion and feature engineering through model training, validation, and deployment.

The ideal candidate combines strong software engineering fundamentals with deep ML expertise, particularly in time series forecasting and quantitative applications. You should be comfortable operating independently, making architectural decisions, and owning systems end-to-end.

CORE TECHNICAL REQUIREMENTS

Python (Required): Professional-level proficiency writing clean, production-grade code—not just notebooks. Deep understanding of NumPy, Pandas, and their performance characteristics. You know when to use vectorized operations, understand memory management for large datasets, and can profile and optimize bottlenecks. Experience with async programming and multiprocessing is valuable.

Machine Learning (Required): Hands-on experience building and deploying ML systems in production. This goes beyond training models—you understand the full lifecycle: data validation, feature engineering, model selection, hyperparameter optimization, validation strategies, monitoring, and maintenance.

Specific experience we value: gradient boosting frameworks (LightGBM, XGBoost, CatBoost), time series forecasting, probabilistic prediction and uncertainty quantification, feature selection and dimensionality reduction, cross-validation strategies for non-IID data, model calibration.

You should understand overfitting deeply—not just as a concept but as something you actively defend against through proper validation, regularization, and architectural choices.

Data Pipelines (Required): Design and implement robust pipelines handling real-world messiness: missing data, late arrivals, schema changes, upstream failures. You understand idempotency, exactly-once semantics, and backfill strategies. Experience with workflow orchestration (Airflow, Prefect, Dagster) expected. Comfortable with ETL/ELT patterns, incremental vs full recomputation, data quality monitoring, database design and query optimization (PostgreSQL preferred), time series data at scale.

C++ (Preferred): Experience valuable for performance-critical components. Writing efficient C++ and interfacing with Python (pybind11, Cython) is a significant advantage.

HIGHLY DESIRABLE: MULTI-AGENT ORCHESTRATION

We are building systems leveraging LLM-based automation. Experience with multi-agent frameworks highly desirable: LangChain, LangGraph, or similar agent frameworks; designing reliable AI pipelines with error handling and fallbacks; prompt engineering and output parsing; managing context and state across agent interactions. You do not need to be an expert, but genuine interest and hands-on experience will set you apart.

DOMAIN EXPERIENCE: FINANCIAL DATA AND CRYPTO

Preference for candidates with experience in quantitative finance, algorithmic trading, or fintech; cryptocurrency markets and their unique characteristics; financial time series data and forecasting systems; market microstructure, volatility, and regime dynamics. This helps you understand why reproducibility is non-negotiable, why validation must account for temporal structure, and why production reliability cannot be an afterthought.

ENGINEERING STANDARDS

Code Quality: Readable, maintainable code others can modify. Proper version control (meaningful commits, branches, code review). Testing where appropriate. Documentation: docstrings, READMEs, decision records.

Production Mindset: Think about failure modes before they happen. Build in observability: logging, metrics, alerting. Design for reproducibility—same inputs produce same outputs.

Systems Thinking: Consider component interactions, not just isolated behavior. Understand tradeoffs: speed vs accuracy, flexibility vs simplicity. Zoom between architecture and implementation.

WHAT WE ARE LOOKING FOR

Self-Direction: Given a problem and context, you break it down, identify the path forward, and execute. You ask questions when genuinely blocked, not when you could find the answer yourself.

Long-Term Orientation: You think in years, not months. You make decisions considering future maintainability.

Intellectual Honesty: You acknowledge uncertainty and distinguish between what you know versus guess. When something fails, you dig into why.

Communication: You explain complex concepts clearly and document your reasoning.

EDUCATION

University degree in a quantitative/technical field preferred: Computer Science, Mathematics, Statistics, Physics, Engineering. Equivalent demonstrated expertise through work also considered.

TO APPLY

Include: (1) CV/resume, (2) Brief description of a production ML system you built, (3) Links to relevant work if available, (4) Availability and timezone.

Cyger Technolabs Pvt. Ltd. is a leading IT solutions company committed to delivering tailored, innovative, and reliable technology services that empower businesses to thrive. We are seeking a highly motivated and results-oriented Business Development Executive to join our dynamic team. As a key contributor, you will play a pivotal role in identifying and capturing new business opportunities, fostering client relationships, and driving revenue growth

Roles & Responsibilities:

·       Handling of International IT Sales & Marketing.

·       Generate qualified leads through various channels like Networking,

Upwork, LinkedIn, or any other freelance marketplace and nurture

client contacts in companies to build relationship for IT services.

·       Network with prospects through virtual conferences, forums etc.

·       Prepare the content relevant to prospective customer.

·       Prepare and deliver the company pitch, work portfolio and

proposals to the potential clients.

·       Communicate with clients from beginning to end.

·       Monitor market trends and competitor activity to stay informed and

make strategic decisions.

Required Experience: 1- 3 Year

Preferred Location: Ahmedabad

Educational Qualification:

·      Bachelor's degree in business, marketing, or a related field.

·      Master degree in business, marketing ·

·      Fluency in IT

Skills Required:

·      Excellent English Communication Skills (Verbal & Written) and negotiation skills.

·      Should know about IT Sales & Marketing and Proven experience as a Business Development Executive.

·      Strong analytical and decision-making skills.

Job Type: Full-time

• Bachelors/ Masters degree in computer science, Engineering or a related subject
• Minimum of 5 years of work experience in mobile application development
• Proficiency in Problem Solving, Data Structures, and Algorithms
• Strong knowledge of design concepts and constraints on mobile platforms
• Proficiency in Java/ Android/ Excellent in Kotlin & Flutter language
• Demonstrable experience building excellent mobile apps that are currently in Google PlayStore
• MVP/ MVVM architecture
• Firebase services
• Local databases (SQLite, firebase DB)/ORM (Green DAO, Room)
• Experience with a scalable architecture, while maintaining a hands-on role with code development
• Excellent teamwork skills, flexibility, and ability to handle multiple tasks
• Excellent analytical, problem-solving skills and Setting & following targets and timelines
• High proficiency in Android frameworks and core components
• Bug fixing

At FINPRO, we believe there is a better way to do most of the professional routines and reduce the burden on end-users. A more valuable, automated way, where customers can do their tasks with ease. We build intelligent solutions to help customers in the financial and marketing industry.

Job description:

We are looking for Angular developers to work on product delivery. Responsibilities will include implementing features in the front end using angular. You will work with other front developers to design and implement the web applications.

Tasks:

· Support and improve existing applications and their codebases

· Participate in the implementation and delivery of features

· Building reusable code and libraries for future use, following code style convention

· Ensure the technical feasibility of UI/UX designs

· Optimize application for maximum speed and scalability

· Assure that all user input is validated before submitting it to the back-end

· Collaborate with other team members and stakeholders

· Constantly propose new ideas to enhance the global UX

· Understanding of related front-end technologies for this SPA - React, Redux, GraphQL

Skill set:

· Minimum 4 years of experience with working in angular V2, and ideally experience with Angular 6

· Proficient knowledge of web markup, including HTML5, CSS3

· Perfect understanding of server-side CSS pre-processing platforms, such as SASS

· Perfect understanding of asynchronous request handling, partial page updates, and AJAX

· Proficient understanding of cross-browser compatibility issues and ways to work around them

· Proficient understanding of code versioning tools, such as Git / Gitlab

· Good understanding of SEO principles and ensuring that application will adhere to them

· Ability to work directly with Backend Developers to implement APIs and Software Logic to Angular Framework

· Experience working with python.

· Experience in working with AWS in a CI/CD environment

• Cold Calling/ Lead Generation.
• Meeting The Clients/Visiting Potential Customers For New Business
• Understanding the Requirements of Clients.
• Presenting To Them All The Services Provided By Our Company Along With Seniors
• Providing Customers With Quotations
• Negotiating And Providing With The Terms And Conditions Of The Agreement And Close Sales
• Coordinating With The Clients And The Execution Team
• Maintaining/ Retaining Present Clients
• Gather Market And Customer Information And Provide Feedback On Buying Trends
• Identify New Markets And Business Opportunities
• Contribute To Team Effort By Accomplishing Related Results As Needed
• Review Your Own Sales Performance To Team Leader

This person MUST have:

• BE Computer Science, MCA or equivalent
• Cloud app development experience
• Strong knowledge of Go programming language, paradigms, constructs, and idioms
• Knowledge of common Goroutine and channel patterns
• Experience with the fullsite of Go frameworks and tools, including:
• Dependency management tools such as Godep, Sltr, etc.
• Go’s templating language
• Go’s code generation tools,such as Stringer
• Ability to write clean and effective Godoc comments
• Familiarity with code versioning tools(such as Git, SVN, and Mercurial)

Experience:

• Min 3 year experience
• Not more than 15 year experience.
• Startup experience is a must. 

Location

• Remotely, anywhere in India

Timings:

• 40 hours a week but with 4 hours a day overlapping with client timezone. .

Position:

• Full time/Direct
• We have great benefits such as PF, medical insurance, 12 annual company holidays, 12 PTO leaves per year, annual increments, Diwali bonus, spot bonuses and other incentives etc.
• We dont believe in locking in people with large notice periods.  You will stay here because you love the company.  We have only a 15 days notice period.

• In-depth knowledge in Core Python with Django building end to endapplications development.
• Experience in Web technologies-HTML, CSS, Javascript.

• Database - SQL Server/Postgres/ NoSQL database.
  
  
• Good understanding of Algorithms, data structures.
• Knowledge in ORM (Object Relational Mapper) libraries.
  
  
• Experience in integrating multiple data sources and databases into onesystem.
  
  
• Knowledge in REST / SOAP API
• Knowledge in version control tools like Git
• Experience with various cloud technologies.