HR Manager

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.

Review Criteria

Strong Backend Developer with Rust knowledge

·       3+ YOE as a Software Engineer

·       Expert level knowledge in Rust or Realtime experience in Rust

Role & Responsibilities

·       You will be working with the Rust compiler and will be responsible for compiling to alternate targets such as WebAssembly

·       You will be exposed with TDD for unit testing individual functions and integration testing for testing publicly exposed APIs

·       Working with a Git style workflow where every commit deploys to a stagingenvironment and merged pull requests deploy to production

·       Setting up CI/CD pipelines for testing and deployment (canary, staging) using Github actionsaccording to project needs

·       Developing software in Rust

·       Maintaining and improving existing rust codebases.

Ideal Candidate

·       Excited about working with Rust

·       4 -7 years of experience in shipping production applications

·       B.Tech in Computer Science Engineering from Tier 1 Colleges only

·       Entrepreneurial mindset with strong decision-making skills

·       Ability to move quickly without breaking things too much (we are dreamers)

·       Ability to work under immense pressure which is balanced by a sense of responsibility and ownership

Job Specific Criteria

• CV Attachment is mandatory
• How many years of rust coding experience you have?
• Do you code in rust daily?
• Have you shipped application to production in rust?
• Are you well versed with tokio, webassembly, leptos and actix?
• Have you contributed in Open source, or articles, patent, given tech presentations, or made an outstanding tech contribution apart from day to day work?
• Please share Github link in resume
• How much is your CGPA in graduation?
• Reason for job change?
• Provide a brief about the Candidate Background and Work Experience (Minimum 50 Words).Highlight achievement any extraordinary work they have done apart from regular BAU.
• This role is remote for now, but will require relocation to Dubai for WFO after a few months. Are you okay with this? -

Key Responsibilities:

Collect, analyze, and maintain data related to infrastructure and e-Governance projects.

Prepare and update MIS reports, dashboards, presentations, and financial analyses.

Study business processes, organizational structures, and assist in drafting EoIs, RFPs, and

RFQs.

Support all phases of the project lifecycle, from initiation to post-implementation.

Define requirements, timelines, costing, payment terms, and service levels.

Monitor project status, SLAs, issue resolution, and vendor performance.

Assist in all departmental e-Governance initiatives and related tasks.

Key Skills:

Language required: English, Hindi and Marathi

Experience working with the infrastructure domain is preferable.

Strong analytical and reporting skills

Understanding of government systems and processes

Experience in project documentation, costing, and vendor management

Proficiency in Excel, PowerPoint, and project tools

Requirement 1: Sr. Sales Executive ( Internal Requirement- Only Female candidates)

• Experience Required: Minimum 2 years in Direct/Perm Staffing and Contingent Staffing Sales for the USA market.
• Scadea Payroll
• Preferred Candidate: Female
• Budget: 6 LPA don’t go beyond.
• NO Cab Facility
• Shift: Night Shift (Onsite – Bangalore)
• Skills Required:
• Excellent communication skills
• Extensive experience in lead generation, cold calling, and cold emailing, US Staffing.
• Additional Criteria: Must have stayed in the same company for over a year.

Must have:

• 8+ years of experience with a significant focus on developing, deploying & supporting AI solutions in production environments.
• Proven experience in building enterprise software products for B2B businesses, particularly in the supply chain domain.
• Good understanding of Generics, OOPs concepts & Design Patterns
• Solid engineering and coding skills. Ability to write high-performance production quality code in Python
• Proficiency with ML libraries and frameworks (e.g., Pandas, TensorFlow, PyTorch, scikit-learn).
• Strong expertise in time series forecasting using stat, ML, DL and foundation models
• Experience of working on processing time series data employing techniques such as decomposition, clustering, outlier detection & treatment
• Exposure to generative AI models and agent architectures on platforms such as AWS Bedrock, Crew AI, Mosaic/Databricks, Azure
• Experience of working with modern data architectures, including data lakes and data warehouses, having leveraged one or more of the frameworks such as Airbyte, Airflow, Dagster, AWS Glue, Snowflake,, DBT
• Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying ML models in cloud environments.
• Excellent problem-solving skills and the ability to work independently as well as in a collaborative team environment.
• Effective communication skills, with the ability to convey complex technical concepts to non-technical stakeholders

Good To Have:

• Experience with MLOps tools and practices for continuous integration and deployment of ML models.
• Has familiarity with deploying applications on Kubernetes
• Knowledge of supply chain management principles and challenges.
• A Master's or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field is preferred

Job Title : BDE_India

Job Responsibilities :

Define, drive, and deliver Company’s listing strategy
Generate new asset leads by identifying value-capturing asset opportunities. Be fully immersed in token project circles, ventures funds, and with liquidity providers
Be the front-facing client services manager to our existing token partners
Negotiate and close on commercial terms of crypto projects, managing a robust pipeline, and produce in-depth research reports with your team.
Automate the process necessary to list cryptocurrencies across Legal, Compliance, Product, and Operations teams
Help shepherd crypto projects through the process of our listings
Analyze and produce managerial reports for all assets
Developing and growing new markets and help the platform increase its user base and trading volumes

Job Requirements :

Interested in Crypto Industry and Sales role
Crypto exchange experience is preferred but not necessary
Communication and negotiation skills
Ability to build rapport
Discipline and adaptability is required
Target Driven, hardworking and Self-motivated
Work Location: India (Work Remotely)

· Providing technical advice and troubleshooting for end users

 · Experience in Enterprise Apple support like ABM, VPP,ACE and MDM

· Excellent OSX desktop and server support skills

· Experiencing supporting OS X desktop and server across a range of versions

· Strong experience with using and administrating JAMF

· Package Deployment, Image upgrade. Security patches &DEP

· Hands on experience with JAMF tools like Recon , Composure , remote and Admin

· Endpoint hardening via JAMF and self service management.

· Experience using terminal commands and scripts

· Great customer relationship skills

· Good written & verbal communication skills

· Being flexible and customer solution focused

· Experience in various application outlook , AD and Teams.

· Cloud knowledge

• Hands-on design and coding are mandatory.
• Design and develop new features and functionality for a consumer e-commerce product with rich UI content.
• 5+ years of experience in building single-page applications using modern JS frameworks.
• Expertise in React JS, ES6, HTML5, SCSS, and related technologies.
• Experience building front-end for products from scratch.
• Experience in building REST API, preferably using .Net Web API.
• Should have good experience with application design, implementation, maintenance, diagnosing/correcting issues, and maintaining compliance with industry security standards under minimal direction.
• Research and evaluate new software, frameworks, and techniques to provide recommendations to the division.
• Implement defect free quality code by writing appropriate unit-tests and regression tests.
• Should possess excellent Interpersonal and communication skills.
• Bachelor's degree in Computer Science or a technical field.