Data Engineer

What you will do:

• Understand the process of CaaStle business teams, KPIs, and pain points
• Build scalable data products, self-service tools, data cubes to analyze and present data associated with acquisition, retention, product performance, operations, client services, etc.
• Closely partner with data engineering, product, and business teams and participate in requirements capture, research design, data collection, dashboard generation, and translation of results into actionable insights that can add value for business stakeholders
• Leverage advanced analytics to drive key success metrics for business and revenue generation
• Operationalize, implement, and automate changes to drive data-driven decisions
• Attend and play an active role in answering questions from the executive and/or business teams through data mining and analysis

We would love for you to have:

• Education: Advanced degree in Computer Science, Statistics, Mathematics, Engineering, Economics, Business Analytics or related field is required
• Experience: 2-4 years of professional experience
• Proficiency in data visualization/reporting tools (i.e. Tableau, Qlikview, etc.)
• Experience in A/B testing and measure performance of experiments
• Strong proficiency with SQL-based languages. Experience with large scale data analytics technologies (i.e., Hadoop and Spark)
• Strong analytical skills and business mindset with the ability to translate complex concepts and analysis into clear and concise takeaways to drive insights and strategies
• Excellent communication, social, and presentation skills with meticulous attention to detail
• Programming experience in Python, R, or other languages
• Knowledge of Data mining, statistical modeling approaches, and techniques

CaaStle is committed to equality of opportunity in employment. It has been and will continue to be the policy of CaaStle to provide full and equal employment opportunities to all employees and candidates for employment without regard to race, color, religion, national or ethnic origin, veteran status, age, sexual orientation, gender identity, or physical or mental disability. This policy applies to all terms, conditions and privileges of employment, such as those pertaining to training, transfer, promotion, compensation and recreational programs.

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.

Sr. Software Engineer

Role expects you to

• Design, code, test, debug, deploy Web App and Mobile Apps

• Collaborate with SMEs to resolve Technical Issues and Achieve Goals

• Lead Projects, teams

• Strong problem solving skills

• Open to learn new technologies

Qualification

▪ 4+ years of IT Development Experience

▪ Comprehensive Programming Experience in Web and Mobile app development using

MEAN or MERN stack

▪ Knowledge of Python, Ruby

▪ Knowledge of RDBMS like MS SQL, PostgreSQL, MySQL

▪ Understanding of Dev-Ops Tools like git, Jenkins, Azure Dev-Ops

▪ Exposure Cloud technologies, Agile development process, Estimation techniques

▪ Understanding of End to End Development process

Role: Sales/Business Development

Exp: 7 - 12 Years

CTC: up to 20 LPA

Location: Bangalore

Working Days: 5

🔹 Ideal Candidate Profile

• 7+ years of experience in B2B/enterprise sales within the packaging industry.
• Experience of curating multi million dollar pipelines and closing targets at close to 20 % closure rates.
• Ready to travel and be with the client at all stages on engagement - Initiation , Trials and closures
• Ability to bring industry experience and networks to get quick wins within the first few months
• Ready to hustle from lead to closure stage of engagement
• Well-networked, with a strong reputation and established relationships with decision-makers in key sectors.
• Excellent communication, negotiation, and presentation skills.
• Deep understanding of packaging solutions, materials, manufacturing, and industry trends.
• Techno-commercial mindset with the ability to bridge client needs and internal capabilities.
• Comfortable with CRM systems, data-driven reporting, and collaborative team culture.

Job Description :-

Our Client is a sustainable livelihood program for urban disadvantaged youth. By fostering agency, workplace competencies and skills in youth, they unleash social and economic transformation in the communities that the youth come from.

Expectations / Deliverables :-

● Build enduring relationships with skilling organizations for co-creation of curriculum for the program

● GOYN brand-building and formalizing partnerships with skilling partners

● Engage with employers in the Logistics industry to be a part of the working group and co-create the curriculum with skilling partners

● Ensure co-creation of courses curriculum for Basix and Advanced courses by skilling organizations and employers

● Ensure creation of a dynamic working relationship with partners to ensure smooth enrolment of youth into the program, completion of training and placements.

● Ensure timely updates from partners regarding youth livelihood status to help maintain the youth journey database

● Put in place feedback mechanisms to record and act on feedback from partners and youth

● Ensure post placement support and engagement with employers to bring about changes at workplace to make the sector more aspirational for youth

● Be up to date with any developments in the ecosystem and forge new partnerships with youth facing organizations, skilling organisations and employers in the Logistics and supply chain sector

Requirements ;-

Preferred Skill sets, Years of Experience, Professional Background:

● Post Graduation in any background, with 1-3 years of experience in the field of partnership building from corporate background

● Computer proficiency- MS Office

● Strong commitment towards building relationships with organizations in the ecosystem

● Strong verbal and written communication skills in Marathi, Hindi and English

● Ability to handle difficult situations with confidence and wisdom.

Location: Chennai

Ideal Candidates for this Role should have:

• Minimum 5 years experience in testing.
• The candidate should have strong experience in Rest Assured, API Testing and Java.
• Proficiency in API testing tools like Postman
• Good knowledge in automation testing using Selenium WebDriver with Java.
• The candidate should be able to write a program to retrieve/parse the Json
• Good understanding of REST API types (GET, PUT, POST, DELETE) and its working.
• Good understanding of HTTP, JSON protocol and syntax
• Good knowledge in automation testing using Selenium WebDriver with Java.
  Be able to work as an individual contributor and be an Expert at writing automated scripts and be 100% hands-on
  Should have automated 1000s of Test cases at various complexity levels and workflows
• Design, implementation, and delivery of scalable, maintainable, configurable and robust test automation frameworks.
• Ability to analyze and translate requirements and development stories into test scripts to ensure complete test coverage.
• Should have strong knowledge of continuous integration tools like Hudson and Jenkins.
• Strong understanding of testing and automation best practices.
• Proven experience in functional, regression and cross-browser testing.
• Willingness to learn new technologies, approaches and test tools

Job Description:

Proven experience as a Java Developer with a strong understanding of Java and its ecosystems.

Proficient in Spring Framework (Spring Boot, Spring MVC, Spring Data).

Experience with web application development using technologies such as HTML, CSS, and JavaScript.

Knowledge of relational databases (e.g., MySQL, PostgreSQL) and ORM frameworks (e.g., Hibernate).

Familiarity with build tools such as Maven or Gradle.

Understanding of software development life cycle (SDLC) and agile methodologies.

Excellent problem-solving and debugging skills.

Experience with microservices architecture.

Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).

Candidate should also have some App development experience in cloud infra. Like familiarity with Docker, Helm Charts, Kubernetes or AWS/Azure k8s infra.

Candidate should have some App development experience in at least one No-SQL Database also (like MongoDB or Cassandra or Redis) apart from RDBMS.

• Expert software implementation and automated testing
• Promoting development standards, code reviews, mentoring, knowledge sharing
• Improving our Agile methodology maturity
• Product and feature design, scrum story writing
• Build, release, and deployment automation
• Product support & troubleshooting

Who we have in mind: 

• Demonstrated experience as a Java
• Should have a deep understanding of Enterprise/Distributed Architecture patterns and should be able to demonstrate the relevant usage of the same
• Turn high-level project requirements into application-level architecture and collaborate with the team members to implement the solution
• Strong experience and knowledge in Spring boot framework and microservice architecture
• Experience in working with Apache Spark
• Solid demonstrated object-oriented software development experience with Java, SQL, Maven, relational/NoSQL databases and testing frameworks 
• Strong working experience with developing RESTful services
• Should have experience working on Application frameworks such as Spring, Spring Boot, AOP
• Exposure to tools – Jira, Bamboo, Git, Confluence would be an added advantage
• Excellent grasp of the current technology landscape, trends and emerging technologies