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Java Backend Developer (6–9 Years)

Mandatory Skills:

• Strong Core Java (Java 8/11/17)
• Spring Boot
• Microservices Architecture
• RESTful API Development
• Collections, Multithreading, Java 8 Streams
• SQL (Oracle/MySQL/PostgreSQL)
• JPA/Hibernate
• Git, Maven, Jenkins
• Unit Testing (JUnit/Mockito)

Good to Have:

• Kafka/Event-Driven Architecture
• Docker/Kubernetes
• Cloud (AWS/GCP/Azure)

Responsibilities:

• Design and develop scalable backend microservices.
• Build secure REST APIs for enterprise applications.
• Write clean, optimized, production-quality code.
• Debug production issues and perform code reviews.
• Work in Agile teams and contribute to CI/CD pipelines.

Experience: 6–9 Years

Location: Bangalore / Mumbai / Chennai (Hybrid)

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.

Roles and Responsibilities:

·      Support the design and implementation of performance management systems, including goal-setting, performance evaluations, and employee development plans.

·      Need to conduct talent mapping aligned with the MHFA action plan.

·      Handle the performance management cycle process from start to end and monitor timely and accurate completion of the appraisals (e.g. forms and templates, communications).

·      Analyse performance data and generate reports to identify trends, opportunities, and areas for improvement.

·      Provide guidance and support to the team on skill development, competencies and to assess skill gap

·      Develop and work with new staff on Key Result Areas (KRAs) and Key Performance Indicator (KPIs) aligned with organizational goals

·      To Develop and update job descriptions and job specifications.

·      To keep job descriptions up-to-date, accurate and compliant with relevant details for all positions.

·      Conduct and Coordinate the interview process, collaborating with hiring managers to understand their specific needs.

·      To Monitor progress of tasks and key HR metrics.

·      Develop individual career maps for each staff member, working closely with them to coach and support their development.

·      Provide regular updates to management on the team's progress with their tasks and tie management performance accordingly.

·      Work on building HR systems and in charge of the automation of HR activities, processes and information.

·      Thorough understanding of the HRMS portal.

Job Requirements:

• Minimum of 5 to 7 years of relevant work experience in Human Resources with proven ability to manage a set of processes and to manage teams.
• Minimum of a Bachelor's degree in a relevant field is required e.g. Human Resources, Business Administration.

·       Strong communication, interpersonal, and organizational skills.

·       Strong problem-solving and decision-making abilities.

·       Demonstrated ability to handle confidential information with discretion.

·       Proficiency with Microsoft Office / Google Docs / Spreadsheet

• 0 to 1 year of experience into Patient relationship & management
• Patient records management.
• Assist in Medical Billing
• Assist patient relatives from admission to discharge process.
• Collect feedback during patient discharge.
• Assist in daily operations & HR functions.
• Good command of the local language is essential, both written and verbal

What you need to have:

• Research and write industry-related content
• Create new content to assist marketing campaigns
• Promote content through multiple channels
• Update website content as needed
• Optimise content using SEO best practices

• Expertise in using content management software, social media platforms and SEO techniques
• Must have written and published blog articles and social media content
• Knowledge about personal finance and investment opportunities is a plus

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