Production Support Analyst

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.

Responsibilities:

• Writing clean and efficient codes for Android applications
• Identifying and resolving bottlenecks, rectifying bugs, and enhancing application performance.
• Collaborating with cross-functional teams to define and design new features.
• Continuously discover, evaluate, and implement new technologies to maximize development efficiency.
• Ability to brainstorm and come up with solutions to open-ended problems.
• Ability to take ownership and drive initiatives end to end.
• Desire to learn and dive deep into new technologies on the job.
• Solid understanding of CS fundamentals-Operating Systems, Databases, and Data Structure.

Knowledge and Skills:

• Prior experience as an Android Developer using Java, Kotlin, Android SDK, Android NDK
• Proficient understanding of code versioning tools such as Git
• Familiarity with RESTful APIs to effectively integrate Android applications
• Solid understanding of the full mobile development life cycle.
• Passion for products and aspiration to make a big impact.
• Solid engineering principles and a clear understanding of data structures and algorithms.
• Expertise in implementation of custom UI components along with fabulous animations and write/understand Rest APIs
• Experience working with Google Maps, Geo-locations, Media permissions, etc.

Min 3 yrs of working in Android

Min 2 yrs of working in iOS

Min 6 months working in React Native

Min 1 yr of team handling experience

Development

Strong in data structures and algorithms

Strong problem solving and analytical abilities

Hands-on with SOLID design principles

Should have developed and delivered successful mobile app projects

Experience in -

Consumer facing apps

Analytics SDKs integrations

Marketing SDKs integrations

Performance optimisation

SQL databases

Building production grade mobile applications

Experience in working in Agile/Scrum projects and fast paced environments

Preference for candidates with :

Payments/financial systems background

Personality

Result oriented

Initiative taker. Not expecting spoon feed.

Team player - looking beyond personal KRAs and helping the team succeed

3H - Humble, Honest and Hard-worker

• Job Title Dell EMC Networker-Backup administrator
• Employment type Permanent
• Industry of the Employer IT - Software
• Department / Functional Area of the Job  Network / System Administration
  
  
• Job Description

  Roles & Responsibilities
  The selected engineer's day-to-day responsibilities include:
  1. Monitoring and Managing the daily backups.
  2. Expertise in backup failures and troubleshooting and fixing them.
  3. Must have good knowledge in troubleshooting backup failures on Windows, Linux, and Solaris machines.
  4. Expertise in Backup configuration for file systems, databases (SQL and Oracle) and VM Level Backup.
  5. Must have good knowledge of Policy, workflow, group, and clients for Configuring the backup.
  6. Expertise in Recovering the backup data as per customer expectations.
  7. Must have good knowledge in the Recovery process from the file system, Database (SQL and Oracle) and VM backups.
  8. Should have knowledge in handling the reports in Networker
  . 9. Should have good knowledge in the Data domain. Should monitor the utilization and alerts.
  10. Should have good knowledge of Clone backup copies.
  11. Should have good knowledge in DDVE EMC Networker in Cloud environment.
  
  Who can apply & other requirements
  1. 3 to 5 Years of Proven experience as a System Administrator
  2. Degree in Information Technology, Computer Science or a related discipline
  3. Ability to create batch or shell scripts
  
  

• Design and Build sophisticated and highly scalable apps using flutter.
• Build custom packages in Flutter using the functionalities and APIs already available in native Android and IOS.
• Translate and Build the designs and Wireframes into high quality responsive UI code.
• Write efficient queries for core Data.
• Explore feasible architectures for implementing new features.
• Resolve any problems existing in the system and suggest and add new features in the complete system.
• Suggest space and time efficient Data Structures.
• Follow the best practices while developing the app and also keeping everything structured and well documented.
• Document the project and code efficiently.
• Manage the code and project on Git in order to keep in sync with other team members and managers.
• Interact with the Product Manager to help understand end-user feedback.
• Ensure security guidelines are always followed while developing the app.
• Suggest new features and/or enhancements.
• Maintain software through product lifecycle including design, development, verification and bug fixes.
• Resolve all the bugs in a timely manner.
• Execute app verification protocol.
• Follow company policies and quality procedures to ensure quality product deliverables.
• If you have experience with Bluetooth Low Energy (BLE) based devices and related applications please highlight the same in your resume

• Accountable & Responsible for delivering initiatives and projects for region and country focused on implementing Web Analytics, Mobile app Analytics
• Spearhead Adobe Analytics implementation by working with Digital Customer Experience and Digital Sales & Marketing team
• Conduct and document journey walkthrough ensuring all scenarios, customer interactions are captured
• Understand business measurement requirements and translate these requirements into Solution Design Reference (SDR)
• Prepare tagging specifications in line with approved SDR
• Conduct QA on Adobe Analytics implementation
• Ensure tagging process governance, documenting all the necessary artefacts and approvals
• Mentor juniors in the team and train them on tools/techniques required for day to day deliverables
• Work with production teams & vendors to efficiently develop, implement, and maintain tracking strategies to seamlessly integrate other customer-level data

• 6+ years of experience in implementing Web Analytics & Mobile app Analytics, exposure to financial services domain is an added advantage
• Deep expertise & experience in implementing Adobe Analytics (Omniture) for complex requirements and maintaining JavaScript libraries
• Expert in implementing Adobe DTM/Launch web properties, Variables (eVars, Props, Events) and Rules (On-Page, Event and Direct Calls)
• Hands-on experience of working with clickstream data
• Experience with multi-channel and cross-channel attribution
• Ability to clearly and concisely articulate the problem, approach and recommendations to both technical and business audience
• Expertise and experience leveraging Adobe Analytics to access web/mobile performance data, use the data and visualization to check data-collection accuracy and perform basic digital analysis
• Ability to think strategically, and then follow-through with detail-orientation, execution and managing competing priorities
• Strong negotiation and influencing skills
• Strong executive presence, communication, presentation and story-telling skills
• Self-motivated and good team player

• Bachelor degree or above in any of the following disciplines: Computer Science, Mathematics, Statistics, Operational Research, Business Administration, Economics etc. from Premier Institute or a track record of performance that demonstrates this ability
• MBA or PGDM would have an added advantage

• Utilize established development tools, guidelines and conventions including but not limited to ASP.NET, SQL Server, HTML, CSS, JavaScript, and C#/VB.NET
• Prepare and maintain code for various .Net applications and resolve any defects in systems.
• Prepare test-based applications for various .Net applications
• Enhance existing systems by analyzing business objectives, preparing an action plan and identifying areas for modification and improvement

• Manage defect tracking system and resolve all issues and prepare update for systems
• Investigate and develop skills in new technologies
• Create technical specifications and test plans
• Monitor everyday activities of system and provide require support

• Required experience in .Net Core 2.2 and above, Web API, EF, AWS or Azure Cloud
• Familiarity with the ASP.NET framework, SQL Server and design/architectural patterns (e.g. Model-View-Controller (MVC))
• Knowledge of at least one of the .NET languages (e.g. C#, Visual Basic .NET) and HTML5/CSS3
• Familiarity with architecture styles/APIs (REST, RPC)
• Snaplogic (both ground and cloud plex ) or Biztalk ( basic administration , simple xlt translations, and Api management ) or any other similar tool
• Update to .net 50 and Microsoft CORE 30 general coding practices
• Visual Studio use for C#
• Shared library through Nugget
• Unit Test / Test driven methods (use of Xunit and MOCK )
• Concepts of “;” service threading, caching, injection, NTier and entity 
• GIT repository (Gitflow branching strategies )
• Azure DevOps pull requests, commitments and Task usage
• SQL artifact writing (sprocs, tables, triggers , indexes, FKs ,and PKs)
• SQL understanding of relational database models

• Should have good problem-solving abilities
• Should be able to troubleshoot issues and determine the cause of a plan’s success or failure
• Should keep up to date with changes in the market and technology that would affect
• Good interpersonal and communication skills
• Comfortable to work as per client requirements/time zones
• Should possess strong team handling experience