- Mandatory - Hands on experience in Python and PySpark.
- Build pySpark applications using Spark Dataframes in Python using Jupyter notebook and PyCharm(IDE).
- Worked on optimizing spark jobs that processes huge volumes of data.
- Hands on experience in version control tools like Git.
- Worked on Amazon’s Analytics services like Amazon EMR, Lambda function etc
- Worked on Amazon’s Compute services like Amazon Lambda, Amazon EC2 and Amazon’s Storage service like S3 and few other services like SNS.
- Experience/knowledge of bash/shell scripting will be a plus.
- Experience in working with fixed width, delimited , multi record file formats etc.
- Hands on experience in tools like Jenkins to build, test and deploy the applications
- Awareness of Devops concepts and be able to work in an automated release pipeline environment.
- Excellent debugging skills.

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REVIEW CRITERIA:
MANDATORY:
- Strong Customer Success, Large account management Profile
- Must have 5+ YOE in Customer Success, Account Management, or Client Relationship in a SaaS environment.
- Must have 3+ YOE in Team management
- Must have expertise in managing and ensuring long-term satisfaction and growth with the enterprise-level customers,
- Must be proficient in CRM and customer success tools
- Candidate for Hyderabad should know 1 more South Indian language (Tamil, Kannada, Malayalam) other than Telugu
PREFERRED:
- Retail, Manufacturing or FMCG
- Candidates for Hyderabad knowing any other south Indian language apart from Telegu
ROLE & RESPONSIBILITIES:
- Build and maintain strong relationships with key stakeholders within assigned high ticket accounts.
- Serve as the primary point of contact for strategic customers, ensuring their needs are met and expectations are exceeded.
- Develop and execute customer success plans, including onboarding, training, and ongoing support.
- Proactively identify and address customer challenges, providing solutions and recommendations to drive customer success.
- Collaborate with cross-functional teams, including Sales, Product, and Support, to ensure a seamless customer experience.
- Conduct regular business reviews with customers to review performance, identify areas for improvement, and present new opportunities.
- Monitor customer health metrics and proactively address any red flags to prevent churn.
- Act as a customer advocate, providing feedback and insights to internal teams to drive product enhancements and improvements.
- Stay up-to-date with industry trends and best practices in customer success management.
IDEAL CANDIDATE:
- Bachelor's degree in Business Administration, Accounts, or a related field.
- Minimum of 5 years of experience in a customer success role, preferably in a SaaS company.
- Proven track record of managing and retaining high-value customers.
- Excellent communication and interpersonal skills, with the ability to build strong relationships with customers.
- Strong problem-solving and analytical skills, with the ability to identify and address customer challenges.
- Self-motivated and results-oriented, with the ability to work independently and as part of a team.
- Proficient in CRM software and other customer success tools.
- Ability to travel as needed to meet with customers.
- A bachelor’s degree in Computer Science or a related field.
- 5-7 years of experience working as a hands-on developer in Sybase, DB2, ETL technologies.
- Worked extensively on data integration, designing, and developing reusable interfaces Advanced experience in Python, DB2, Sybase, shell scripting, Unix, Perl scripting, DB platforms, database design and modeling.
- Expert level understanding of data warehouse, core database concepts and relational database design.
- Experience in writing stored procedures, optimization, and performance tuning Strong Technology acumen and a deep strategic mindset.
- Proven track record of delivering results
- Proven analytical skills and experience making decisions based on hard and soft data
- A desire and openness to learning and continuous improvement, both of yourself and your team members.
- Hands-on experience on development of APIs is a plus
- Good to have experience with Business Intelligence tools, Source to Pay applications such as SAP Ariba, and Accounts Payable system Skills Required
- Familiarity with Postgres and Python is a plus
InCruiter is a next-generation technical screening and talent assessment platform. We are a SaaS-based organization with an interview service (IaaS) at its core. IaaS & Video Interview Platforms have a combined market size of 5-6Bn USD. It’s a niche and new market segment in the B2B sector
EXCITED ABOUT YOUR TASKS?
1. HR Coordination:
● Oversee and coordinate interview processes, including onboarding interviewers and conducting
Quality interviews.
● Ensure adherence to policies and regulatory requirements of the company.
2. Client Relationship Management:
● Serve as a liaison between Clients/recruiters ensuring effective communication and alignment of goals.
● Build and nurture strong relationships with client’s HRs/recruiters, understanding their needs and addressing concerns.
3. Communication and Collaboration:
● Facilitate clear communication between recruiters and clients to streamline processes and resolve issues.
● Build rapport with employees and clients at various organizational levels
● Should have product knowledge and resolve platform issues and impart training.
4. Performance Monitoring:
● Monitor key performance indicators (KPIs) for assigned accounts and take corrective actions as needed.
● Provide regular reports on account status, highlighting achievements and areas for improvement.
5. Communication and Collaboration:
● Foster effective communication between internal teams and clients to address queries, concerns, and feedback.
● Collaborate with cross-functional teams to ensure a cohesive and client-centric approach.
WHAT WILL YOU NEED TO SUCCEED?
● Bachelor/ Master's degree in Human Resources, Business Administration, or a related field.
● Previous experience in HR coordination, recruitment or a related HR role.
● Exposure to client interaction or account management is advantageous.
● Strong communication and interpersonal skills, essential for both HR and client interactions.
● Ability to multitask, problem-solve, and meet deadlines.
● Proficiency in MS Suite.
● Ability to adapt to evolving HR and client management need
Requirements:
· Candidates must have substantial applicable IT experience, extensive development, programming experience in Core Java, J2ee, Spring, Spring Boot, Hibernate, Webservices using Restful, any DB (Oracle, PostgreSQL, SQL server).
· Preferably the candidate must have worked in development projects and must have experience in Java / J2ee design patterns.
· Experience in AWS, Azure will be an added advantage.
· Candidate must have good experience in Agile methodology.
QUALIFICATIONS:
- Minimum 3-5 years of Experience in Java Backend development.
- Degree in Engineering or Computer Science.
- Good knowledge/experience in Data structure, Algorithms.
- Proficiency with Programming Language: Java 1.8 and above (1.8 V must), J2EE.
- Proficiency with Framework: Spring Stack (Security, Web MVC, REST), Hibernate, JMS.
- Strong knowledge in any one Relational Databases (Mysql / Oracle / SQL Server).
- Strong experience in Web services (SOAP and RESTFUL).
- Tools & Utilities: STS / Eclipse / IntelliJ / NetBeans.Web/Application Server: Jboss.
- Should have expertise in Design Patterns, Transactions, Multithreading concepts
- Proficiency in Build Cycle management (Maven, Jenkins, Scripting).
- Familiarity with Deployment technologies like Docker, Rancher and Virtual machines.
- Familiarity with Agile Development processes.
- Exposure to Spring Integration batch knowledge, OAuth2 authentication
- Excellent verbal communication skills.
- Good problem-solving skills with attention to detail.
- Able to create functional, attractive applications that perfectly meet the needs of the user.
JOB DESCRIPTION: The Fraud Lead will manage the gameplay fraud for all poker products and work closely with the payments team to create smooth players and gameplay investigations with the outcome being a low level of fraud across the business. You will liaise directly with network partners via multiple communication channels, to assist with fraud issues via providing fast, accurate and thorough responses to numerous contacts per shift. You will be responsible for building and maintaining Gaming Integrity controls related to issues such as collusion, bots/live assistance use, money dumping and more.
Your key job responsibilities as the Fraud Lead in Pocket52 will include:
- Day to day gameplay fraud analysis to identify and prevent fraud in poker
- Ensuring that all team members follow the fraud procedures
- Constant assessment of the fraud process and constant improvement to the processes
- The role involves utilizing a number of detection and investigation techniques in-order to identify high risk accounts, unusual activity, investigates and subsequently close suspicious accounts.
- You will be proactively investigating and reviewing the player pool for suspicious activity and building cases that result in removing any players who are a threat to the integrity of the games on the Pocket network
- Review customer transactions and gameplay to prevent fraudulent actions.
- Discover new techniques in fraud prevention and customer service using various software and applications
- Monitoring for poker rooms
- Working with the product managers and marketing team to ensure promotions cannot be abused by players
To apply for the Fraud Lead in Pocket52 you will need:
- 3+ years previous experience in managing fraud for online games
- Experience playing online poker and knowledge of the online poker games products, promotion types and customers
- Knowledge of all fraud tools and ability to access products for purpose
- Ability to query and analyse behavioural data in order to identify patterns of fraud
- Ability to manage a heavy workload, prioritising and managing the pressure that comes with managing a critical product vertical
- Technically aware, comfortable working with multiple IT systems, databases and programs
- Solid understanding of game theory optimal (GTO) poker solutions
- Conduct OSINT checks in poker fraud investigations.
Who are we looking for?
A passionate developer
What’s non-negotiable?
- Strong working knowledge of OOPS
- Functional programming principles
- Strong believer of Clean Code practices
- An advocate of TDD, BDD, SOLID, CI/CD, Lean development
You’ll easily settle in if:
You come from a strong Java/J2EE background with web application frameworks like Spring Boot or Drop wizard
You have ample work experience in Caching, Multi-Threading, Asynchronous APIs, Exception Management and use of collections, Mocking, Unit testing tools like Junit & TestNG"
You are fluent with version control tools like GIT and Bitbucket
Experience with Continuous Integration, Continuous Deployment, Static Code Analysis, Jenkins and SonarQube
Willingness to take ownership of the technical solution and ensure technical expectations of deliverables are met.
Exposure to AWS/Azure cloud and containerization
Have a good Understanding of Distributed Application Architecture.
You ‘ll love:
Awesome opportunity to work with Micro Services architecture getting shipped on Cloud.
Experience in working with automated build deploy powered by Code Analysis, Automated Tests, Functional and Nonfunctional analysis, Blue Green deployment and much more
First-hand experience on broader enterprise application concerns like Message Bus, Queues, Caches, Concurrency and Parallelization
Key Responsibilities:
- Partnering with clients and internal business owners (product, marketing, edit, etc.) to understand needs and develop models and products for Kaleidofin business line.
- Good understanding of the underlying business and workings of cross functional teams for successful execution
- Design and develop analyses based on business requirement needs and challenges.
- Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, hyperparameter tuning, ensembling etc.
- Providing statistical analysis on custom research projects and consult on A/B testing and other statistical analysis as needed. Other reports and custom analysis as required.
- Identify and use appropriate investigative and analytical technologies to interpret and verify results.
- Apply and learn a wide variety of tools and languages to achieve results
- Use best practices to develop statistical and/ or machine learning techniques to build models that address business needs.
- Collaborate with the team to improve the effectiveness of business decisions using data and machine learning/predictive modeling.
- Innovate on projects by using new modeling techniques or tools.
- Utilize effective project planning techniques to break down complex projects into tasks and ensure deadlines are kept.
- Communicate findings to team and leadership to ensure models are well understood and incorporated into business processes.
Skills:
- 2+ year experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms.
- Machine Learning Algorithms: Crystal clear understanding, coding, implementation, error analysis, model tuning knowledge on Linear Regression, Logistic Regression, SVM, shallow Neural Networks, clustering, Decision Trees, Random forest, Boosting trees, Recommender Systems, ARIMA and Anomaly Detection. Feature selection, hyper parameters tuning, model selection and error analysis, ensemble methods.
- Strong with programming languages like Python and data processing using SQL or equivalent and ability to experiment with newer open source tools
- Experience in normalizing data to ensure it is homogeneous and consistently formatted to enable sorting, query and analysis.
- Experience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts.
- Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE)
- Experience in risk and credit scoring domains preferred









