CRM

Key Responsibilities:

  Design, develop, and maintain efficient, reusable, and reliable Go code.

  Implement and integrate with back-end services, databases, and APIs.

  Write clean, scalable, and testable code following best practices and design patterns.

  Collaborate with cross-functional teams to define, design, and ship new features.

  Optimize application performance for maximum speed and scalability.

  Identify and address bottlenecks and bugs, and devise solutions to these problems.

  Stay up-to-date with the latest industry trends, technologies, and best practices.

Required Qualifications:

  Proven experience as a Golang Developer or similar role in software development.

  Proficiency in Go programming language, paradigms, constructs, and idioms.

  Experience with server-side development, microservices architecture, and RESTful APIs.

  Familiarity with common Go frameworks and tools such as Gin.

Knowledge implementing monitoring, logging, and alerting systems

  Experience with SQL and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB).

  Understanding of code versioning tools, such as Git.

  Strong understanding of concurrency and parallelism in Go.

  Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes) is a plus.

  Excellent problem-solving skills and attention to detail.

  Ability to work effectively both independently and as part of a team.

BIM Manager – Interiors & Facades

Experience: 5–6 Years

Department: BIM / Design Coordination

Location: Hyderabad

Qualification: Bachelor’s Degree / Diploma in Architecture, Civil, Interior Design or related field

Software Skills: Autodesk Revit, AutoCAD, BIM 360, Dynamo

Job Summary

We are looking for an experienced BIM Manager with strong expertise in interiors and facade projects. The candidate will be responsible for managing BIM workflows, leading project coordination, ensuring quality standards, and delivering accurate BIM models and documentation within project timelines.

Key Responsibilities

• Lead and manage BIM projects for interior and facade systems.
• Develop and implement BIM standards, workflows, and best practices.
• Coordinate with architects, interior designers, facade consultants, and project teams.
• Create and supervise detailed 3D BIM models using Autodesk Revit.
• Ensure quality, accuracy, and consistency of BIM models and drawings.
• Manage project deliverables as per timelines and milestones.
• Train and mentor junior BIM modelers and coordinators.
• Integrate BIM processes with BIM 360, Dynamo, and other collaboration tools.
• Prepare BIM execution plans, workflows, and project documentation.
• Resolve BIM coordination and data exchange issues efficiently.
• Stay updated with latest BIM technologies, tools, and industry trends.

Required Skills

• Strong knowledge of BIM standards and workflows.
• Expertise in Autodesk Revit and family creation.
• Good understanding of interiors and facade detailing.
• Excellent coordination and communication skills.
• Leadership and team management abilities.
• Knowledge of AutoCAD, BIM 360, and Dynamo preferred.
• Problem-solving and project management skills.

Qualifications

• 5–6 years of experience in BIM modeling and management.
• Experience in interiors and facade projects is mandatory.
• Degree/Diploma in Architecture, Civil Engineering, Interior Design, or related field.
• BIM/Revit certifications will be an added advantage.

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.

SR Universe Tech is Hiring for - HR Executive - Talent Acquisition !!!

Job Title: HR Executive - Talent Acquisition (0-3 Years Experience)

Department: Human Resources

Location: Salem

Job Type: Full-time

We are looking for a dynamic HR Executive - Talent Acquisition with 0-3 years of experience to support our recruitment process. The ideal candidate will be responsible for sourcing, screening, interviewing, and onboarding candidates while ensuring a seamless hiring experience. This is a great opportunity for freshers or early-career professionals to grow in HR and talent acquisition.

Key Responsibilities:

1. End-to-End Recruitment:

Assist in job posting on various job portals ( LinkedIn, Indeed, Monster, Job Hai, Many jobs).

Source candidates through databases, social media, referrals, and job portals.

Screen resumes and conduct initial phone to assess candidate fit.

Schedule and coordinate interviews with hiring managers.

2. Candidate Engagement & Interviewing:

Conduct first-level interviews to evaluate skills, experience, and cultural fit.

Provide a positive candidate experience throughout the hiring process.

Maintain regular follow-ups with candidates and hiring teams.

3. Job Portal & Database Management:

Manage and update job postings on multiple platforms.

Maintain an organized candidate database for future hiring needs.

Track recruitment metrics (time-to-fill, source effectiveness).

Skills

Education: Bachelor’s degree in HR, Business Administration, or related field.

Experience: 0-3 years in recruitment/talent acquisition (freshers with relevant internships are welcome).

Technical Skills:

Familiarity with job portals ( LinkedIn, Indeed, Monster, Job Hai, Many jobs).

Basic knowledge of ATS (Applicant Tracking Systems) is a plus.

Proficiency in MS Office (Excel, Word, Outlook).

Soft Skills:

Strong communication and interpersonal skills.

Ability to multitask and work in a fast-paced environment.

Good negotiation and persuasion skills..

• 2 - 5 years of hands-on experience with Mongo DB as a Developer.
• Deploy and create MongoDB clusters with appropriate configuration once the machines are provisioned
• Be able to script, and have programming ability with MongoDB shell and/or other programming languages
• Configure and monitor replica sets and Sharded Clusters
• Ability and experience in working with applications that work with MongoDB such as Java, Node.js and/or others
• Experience with MongoDB security, managing roles and permissions
• Experience with MongoDB backups and restores, manually and using MongoDB and other tools
• Knowledge and experience in working with MongoDB Ops Manager and/or Cloud manager
• Knowledge and/or experience working with MongoDB Atlas
• Knowledge of at least one DevOps tool such as Puppet, Chef, Ansible or similar
• Experience with ORM tools such as spring data is preferred.

We are seeking a person to join our tech team, with proficiency in programming languages likeJavaScript, decent understanding of NodeJS and React.js and an abiity to understand business requirements and to translate it into technical requirements.You’ll work closely with top school graduates, ex-McKinsey,BCG, Deloitte, EY, Byju’s, Paytm employees to establish, nurture, and grow business across categories & territories. This is an amazing opportunity to learn from an extraordinary team, grow massively and to help students around the globe build an awesome career for themselves.

What you will do:

• Developing new user-facing features using ReactJS as frontend and NodeJS as backend
• Building reusable components and front-end libraries for future use
• Translating designs and wireframes into high quality code
• Optimizing components for maximum performance acrossa vast array of web-capable devices and browsers
• Writing test cases for automated testing
• Deployment of micro services to AWS
• Defining and Architecting a proper structure to any new micro services being added
• Managing and updating already build micro services

What you will need:

• Strong proficiency in JavaScript, including DOM manipulationand the JavaScript object model
• Thorough understanding of React.js and its core principles
• Thorough understanding of NodeJS, Express and itscore principles
• Experience with popular React.js workflows Redux,Saga, Axios
• Experience with popular NodeJS packages like Knex
• Knowledge of isomorphic React is a plus
• Familiarity with RESTful APIs
• Experience with building optimised SQL queries and stored procedures
• Knowledge of modern authorization mechanisms, such as JSON Web Token
• Familiarity with modern front-end build pipelinesand tools
• Experience with common front-end development tools such as Babel, Webpack,NPM, etc.
• Ability to understand business requirements and translate them into technical requirements
• A knack for benchmarking and optimization
• Familiarity with code versioning tools such as GIT

What you will get:

• Industry-best perks
• A phenomenal work environment, with massive ownershipand growth opportunities
• A bunch of super young & enthusiastic colleagues in Tech/Marketing/PR/Editorial/SocialMedia & Events!
• Quick iterations and deployments – fail-fast attitude
• Opportunity to work on cutting edge technologies, and lead teams in the future
• Access to a world-class mentorship network
• Create a massive, and direct impact of the work you do in the lives of people across the globe

About the Company: At Leverage Edu, we are democratizing access to global opportunities for students everywhere. By helping students make the right career choices withthe aid of information and pathways that they can trust, we are opening doors to opportunities they could not access without the right guidance and support. Making sense of the complex web of courses,colleges, careers, and geographies is a tough task – by leveraging technology but connecting with students at a personal level we help them maximize their potential. To build towards this goal we are looking for people with the ambition and hustle to make the world a smaller place and get people closer to their dream opportunities. We are building at a break-neck speed in one of the fastest-growing industries inthe world and the opportunities for growth are limitless.

Job Description

• Experienced in Cloud (AWS, Digital Ocean, Google& Azure) development and System Operations.
• Cloud Storage Services and prior experience in designing and building infrastructure components in Amazon. DigitalOcean (or other cloud providers).
• Strong Linux experience (Red Hat 6.x/CentOS 5.x & 6.x, Debian).
• Expert Knowledge in - Git, Jenkins
• Should have experience in CI/CD Automation using tools like Jenkins, Ansible, puppet/Mcollective, Chef Docker, Kubernetes, GIT, Ansible, Terraform, Packer, Hashicorp Vault Docker, Kubernetes, Python Scripting etc.
• Good working knowledge with scripting languages such as Python, php
• Good communications and Presentation Skills

Preferred Education:

Bachelor's Degree or global equivalent in Computer Science or related field