
Technical Skills:*
* 5+ years of Oracle Fusion/HCM Cloud experience with expertise in Global HR, Absence Management, Benefits, Time and Labor and Payroll.
* Strong SQL/database skills and experience with HCM Cloud tools like HDL or HSDL.
* Extensive integration experience with strong Oracle knowledge on the HCM Extracts development across modules like Time and Labor and Payroll
* Ability to develop/maintain HCM Extract interfaces and create custom reports using BI Publisher.
* Experience with Fusion Security architecture and OTBI analyses.
* Strong experience Oracle HCM Cloud Tech skills across Data Loader, Integrations (Inbound & Outbound), Extensions, Reports (BIP, OTBI), Extracts and Fast Formulas.
* Provide end-user support, troubleshooting issues, and resolving technical problems related to Oracle HCM Cloud.
* Ability to support Oracle HCM Cloud product releases, new features, and industry best practices to recommend enhancements and optimize system performance.
* Excellent analytical, troubleshooting, and communication skills, with advanced Excel proficiency.

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HR Intern – Job Description
Position: HR Intern
Company: Honeybee Digital
Location: Remote
Internship Type: Full-Time / Part-Time
Duration: 3 to 6 Months
About the Role
We are looking for a proactive and enthusiastic HR Intern to support our Human Resources team in recruitment, employee engagement, and administrative activities. This internship is a great opportunity for students or freshers who want practical exposure to HR operations and talent management.
Key Responsibilities
- Assist in sourcing and screening candidates through job portals and social media
- Schedule interviews and coordinate with candidates
- Maintain employee and candidate databases
- Support onboarding and documentation processes
- Help create job postings and internship listings
- Assist in employee engagement activities and internal communication
- Handle basic HR administrative tasks
- Coordinate with different departments for hiring requirements
Requirements
- Good communication and interpersonal skills
- Strong organizational and coordination abilities
- Basic knowledge of HR processes and recruitment
- Familiarity with Google Workspace/MS Office
- Positive attitude and willingness to learn
- Ability to handle confidential information professionally
Preferred Skills
- Knowledge of recruitment platforms like LinkedIn, Indeed, or Internshala
- Basic understanding of HR policies and operations
- Social media communication skills are a plus
What You’ll Gain
- Hands-on experience in recruitment and HR operations
- Exposure to real-world hiring processes
- Mentorship from experienced HR professionals
- Internship Certificate
- Letter of Recommendation based on performance
- Opportunity for full-time placement after successful completion
Experience: 6+ years building and operating production ML systems that drive commercial decisions at scale.
Location: Remote
To streamline and fast-track screening, please submit your details here (if you haven’t already): https://airtable.com/appbtkr4odapnb5I6/pag05ROZwgz5AaLDG/form
We’ll review your responses as part of the initial screening process. Please make sure you complete and submit all details through the form to be considered for the next stage. Submissions outside the form may not be considered.
Why This Role Matters
Terrabase builds decisioning infrastructure for enterprise customers: ranked recommendations, scoring pipelines, and policy-governed outputs that drive real commercial action. Our ML systems do not live in notebooks. They run multi-stage evaluation harnesses, apply structured governance rules, backtest against historical outcomes, and ship ranked outputs that customers act on daily.
This role owns the decisioning system end to end. That means the models, the eval harness, the policy layer, the production services, and the technical roadmap for where all of it goes next.
What You Will Do
Own the decisioning and ranking pipeline. Design, extend, and operate the end-to-end system: candidate generation in DuckDB, multi-stage scoring with LightGBM and AutoGluon, post-score policy application, and final ranked output delivery. You understand each layer well enough to debug latency, correctness, and coverage problems quickly, and to design the next version.
Lead the evaluation harness. Our eval pipeline runs multiple gates before any output ships: data health checks, specification validation, business rules enforcement, resolution checks, LLM-as-judge scoring, backtest against historical outcomes, and final output validation. You will own this harness, extend it as the system grows, and ensure every model or pipeline change is measurable and reproducible before it reaches a customer.
Apply policy logic with rigor. Our ML systems operate under structured governance rules that determine which offers apply to which customer segments, under what conditions. You will implement, test, and audit these rules in code, not configure them in a spreadsheet. Every exclusion must be traceable and explainable.
Engineer features that move metrics. Identify and build the behavioral signals, engagement indicators, contract features, and value-band attributes that improve model performance. Close the loop from feature hypothesis through offline evaluation to production monitoring. Own the data contracts between upstream sources and the scoring pipeline.
Build and maintain the production pipeline and service layer. The decisioning system is not a batch notebook. You will write and operate the Python pipeline and service layer that wraps model inference, handles edge cases, versions model artifacts, and connects to downstream consumers. You own CI, test coverage, reproducible training runs, monitoring, and production incidents.
Drive technical direction. Write design documents, lead code review, and set the engineering standard for the decisioning system. Help define the roadmap: what gets built, in what order, and why. Mentor contributors who work alongside you on this system.
Work forward-deployed. You will engage directly with customer stakeholders to understand business context, interpret model outputs, and translate commercial requirements into system constraints. You are accountable for customer delivery, not just model accuracy.
What We Are Looking For
- 6+ years building and operating production ML systems, not prototypes or research work
- Strong Python skills across the full ML lifecycle: data pipelines, feature engineering, model training, inference services, and monitoring
- Production experience with gradient boosting models (LightGBM, XGBoost)
- Hands-on with DuckDB or similar in-process analytical engines for large-scale data processing
- Evaluation discipline: held-out metrics, backtesting against historical data, multi-gate eval pipelines, LLM-as-judge patterns
- Experience applying business rules, policy overrides, or constraint layers on top of model outputs
- Engineering fundamentals: CI pipelines, data contracts, versioned artifacts, test coverage, incident response
- Technical leadership: design docs, code review, roadmap input, mentoring
- Comfort with forward-deployed work: you can run a meeting with a non-technical stakeholder and turn the output into a system requirement
- Comfort inheriting an existing production codebase, improving its structure, and raising reliability without rewriting everything from scratch
Bonus Points
- Experience with next-best-offer engines, customer-level targeting, or recommendation systems at scale
- Experience with AutoML frameworks (AutoGluon or similar) in a production scoring pipeline
- Thompson sampling, multi-armed bandits, or portfolio-level optimization experience
- Exposure to structured data from telecoms, financial services, or retail sectors
- Prior work owning a decisioning or ranking system as the technical lead
Life at Terrabase
We are a sharp, focused, fully remote team that ships to real enterprise customers weekly. You will own a system that drives measurable commercial outcomes, with high autonomy, generous cloud budgets, and a culture that prizes rigor over hype.
Terrabase is an equal-opportunity employer. We celebrate diversity and are committed to building an inclusive environment for every team member.
This is a fulltime onsite trainer cum developer role. To prepare placement students with the technical knowledge, skills, and confidence required to succeed in campus recruitment drives, technical interviews, and entry-level job roles in the industry.
About Company
Our client is a leading mid‐market investment bank with strong practices around M&A, PE, Capital Markets, Institutional Equities, Wealth Management, Insurance Broking, and Portfolio Management Services.
Roles & responsibilities
• Onboarding, Handling, and Managing HNI / Ultra HNI clients.
• Accountable to achieve Annual revenue, AUM & Strategic product targets in the respective geography.
• Aiming for consistent growth of customer wallet share and book size.
• Advising and meeting clients on their business and investment needs based on their risk appetite and performance objective through various structuring solutions.
• Constantly review client portfolios and give a bird’s eye view.
• Ability to work in partnership with Federal Bank and drive leads & AUM.
• Service existing clients with the support of the client servicing team
• Adherence to all regulatory, statutory, and corporate compliance standards
Requirements
• 8+ years of experience in the Wealth Management space
• Must have completed an MBA from a premier business school.
• Should have a sound understanding of Wealth Management Products (MF, Bonds, PMS, AIFs, PE, etc.) & markets.
• English is mandatory and command of the local language would be beneficial.
• Ability to work in tandem with our channel partner and generate leads & business.
• Good communication and presentation skills
Employee Relations:Handle employee relations matters, including conflict resolution, investigations, and disciplinary actions.
Foster positive working relationships and ensure a healthy work environment.
Recruitment and Staffing:Collaborate with hiring managers to understand staffing needs.
Post job openings, conduct interviews, and facilitate the hiring process.
Manage onboarding processes for new hires.
Training and Development:Identify training needs and coordinate training programs.
Support employee development initiatives and career planning.
Performance Management:Administer performance appraisal processes.
Provide guidance to managers on performance improvement plans.
Benefits Administration:Administer employee benefits programs, including health insurance, retirement plans, and other perks.
Assist employees with benefits-related inquiries.
Compliance:Ensure compliance with federal and state employment laws and regulations.
Stay informed about changes in HR laws and best practices.
HR Policy Implementation:Develop and implement HR policies and procedures.
Communicate policies to employees and ensure adherence.
Data Management:Maintain accurate and up-to-date employee records.
Generate HR reports for management as needed.
Employee Engagement:Develop and implement employee engagement initiatives.
Conduct surveys and gather feedback to improve workplace satisfaction.
Qualifications:
• Bachelor's degree in Human Resources, Business Administration, or a related field.
• Proven experience as an HR Generalist or in a similar HR role.
• Knowledge of HR laws, regulations, and best practices.
• Strong interpersonal and communication skills.
• Ability to maintain confidentiality and handle sensitive information.
• Detail-oriented with excellent organizational and multitasking abilities.
Note: The above job description is a general outline and may vary based on the specific needs and structure of the organization. Some HR Generalists may also be involved in additional areas such as compensation, workforce planning, or organizational development.
Roles and Responsibilities
- A Full Stack Engineer with great holds on Python - Django - Vue.js
- The role holder should be comfortable around both front-end and back-end coding languages, development frameworks and third-party libraries.
- A Full Stack Engineer will be part of a cross-functional team thats responsible for the entire software development life cycle, from conception to deployment.
- You should also be a team player with a knack for visual design and utility. Strong Java 8+ knowledge
- Strong / Good ReactJS knowledge
- Must be able to debug the existing code, extend the functionality and/or fix issues if any.
- Understanding of micro service architecture and ability to write REST APIs
- Can write sensible tests to verify functionalities and endpoints
- Sound knowledge of Redux store
● Design, build and maintain efficient, understandable, reusable, testable, and simple code
with a focus on stability, performance, and scalability.
● Building end-to-end product features from writing backend business logic, API services,
building administration dashboards, and implementing front-end pages/components.
● Being part of cross-team technical initiatives, bringing in new tools and technologies to
improve and optimize the existing platform and code.
● Be a mentor when you have the expertise / Be a student when someone else does.
Preferred Skills:
● Proven work experience as a Front-end developer with React.js.
● In-depth knowledge of JavaScript, CSS, HTML, jQuery, and front-end languages
● Knowledge of REACT tools including React.js, Webpack, Enzyme, Redux, Flux, etc.
● Familiarity with browser testing and debugging
● Understanding of layout aesthetics
● In-depth understanding of the entire web development process (design, development, and deployment)
● Knowledge of backend frameworks such as Ruby on Rails, Django. Experience with Ruby on Rails is a plus.
● Knowledge in Linux environment and basic Linux commands.
● Good understanding of SQL Databases and NoSQL datastores; with previous experience with MySQL and ElasticSearch being a bonus
● Great communication, particularly in explaining your coding processes, suggestions for best practices, and identifying ways to improve the team's coding quality.
● A high-performance mindset to deliver good quality code and also an understanding of the product with keen attention to detail.
Job Title: Media Relations & Communication Executive
Years of Experience: 2-3
Working Geographies: International
Job Summary:
We are seeking to hire a Media Relations & Communication Executive who will be
responsible for building and maintaining a relation with media houses for the brand. The
Media Relations & Communication Executive will be responsible for promoting and
protecting the brand’s reputation by developing and executing media relations
strategies and plans for brand building/innovation, media promotions, news
communications, and public affairs initiatives.
Job Responsibilities:
• Responds to requests for information from the media.
• Establishes and maintains cooperative relationships with construction industry
bloggers, publishers, news portals, and media houses.
• Writes press releases and prepares information for the media to promote viAct.
• Plans or directs the development of media programs to maintain favourable public
and stakeholder views of the organization’s agenda and accomplishments.
• Ensure press releases for new product launch.
• Analyses the organization’s objectives, promotional policies, and needs to build
media relations strategies that influence public opinion and promote products,
ideas, and services.
• Maintains the organization’s image and identity.
• Draft’s speeches and schedules interviews.
• Prepares and edits organizational materials, newsletters and other publications for
external audiences.
• Collaborates with managers to identify trends and evaluate advertising to determine
whether it is in sync with the organization’s media relation efforts.
Public Relations Qualifications / Skills:
• Superior written and verbal communication skills
• Knowledge of writing media publishable drafts
• Ability to make media pitches







