Paid Media Executive

Job Description : React Native Developer (Full Stack)

Location : Remote

Joining : Immediate

Summary :

We are looking for an experienced React Native Developer with full-stack development expertise and a proven track record of handling end-to-end project delivery. If you thrive in a fast-paced environment and enjoy working on impactful projects, we want to hear from you!

Key Responsibilities :

• Design, develop, and maintain cross-platform mobile applications using React Native.
• Implement backend services using Node.js, Express, or similar technologies.
• Handle end-to-end project delivery, including requirement gathering, design, development, testing, and deployment.
• Collaborate with cross-functional teams to ensure seamless integration of front-end and back-end systems.
• Optimize performance and ensure scalability for mobile and web applications.
• Debug, troubleshoot, and resolve technical issues promptly.

Requirements :

• 2+ Years of experience in full-stack development with a focus on React Native.
• Proficiency in JavaScript, TypeScript, Node.js, and RESTful APIs.
• Hands-on experience with databases like MongoDB, PostgreSQL, or MySQL.
• Strong understanding of mobile UI/UX design principles.
• Proven experience in delivering end-to-end projects.
• Familiarity with version control systems (e.g., Git).
• Immediate availability for joining.

Why Join Us?

• 100% remote work environment.
• Work on exciting projects with cutting-edge technology.
• Collaborate with a team of talented professionals.

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

Inventory & Stock Management

• Maintain accurate and up-to-date inventory records for:

• Fabrics (raw materials)

• Readymade sarees

• Artwork products

• Bulk stock

• Returns and exchanges

• Track fabric consumption against confirmed orders and production plans

• Record and monitor all stock movements, including inward, outward, damaged, returned, and

exchanged items

• Ensure minimum stock levels are maintained and proactively raise replenishment alerts

• Coordinate with the Supply Chain team to ensure timely availability of fabrics and materials

Dispatch & Order Coordination

• Coordinate closely with the Dispatch team to ensure timely and accurate order fulfillment

• Act as the primary point of coordination between Dispatch and Customer Care teams

• Share real-time updates on dispatch status, shipment tracking, and delivery timelines

• Support resolution of dispatch-related issues, including delays, RTOs, returns, and exchanges

• Ensure all customer-facing information related to orders and inventory is accurate and consistent

Customer Support & Issue Resolution

• Assist the Customer Care team with order status inquiries and dispatch-related concerns

• Coordinate with internal teams to resolve customer complaints related to inventory or dispatch

• Ensure smooth closure of customer issues with proper documentation and follow

• Manage high-volume inbound and outbound customer calls in a timely and professional manner.
• Provide accurate and comprehensive information about our products and services to address customer inquiries effectively.
• Resolve customer issues and complaints by identifying needs, clarifying information, researching problems, and providing efficient solutions.
• Conduct necessary follow-ups with customers to ensure complete resolution and guarantee satisfaction.
• Maintain meticulous records of all customer interactions and transactions within our CRM database.
• Collaborate with team members to meet and exceed daily and weekly performance targets (KPIs) and departmental goals.

Role & responsibilities

• Should handle US Healthcare Physician Billing / Ambulance Billing Accounts Receivable.
• To work closely with the team leader.
• Ensure that the deliverables to the client adhere to the quality standards.
• Responsible for working on Denials, Rejections, LOA's to accounts, making required corrections to claims.
• Calling the insurance carrier & Document the actions taken in claims billing summary notes.
• To review emails for any updates
• Identify issues and escalate the same to the immediate supervisor
• Update Production logs.
• Strict adherence to the company policies and procedures.

Preferred candidate profile

• Min of 1+ year experience in US Medical Billing
• Should have strong knowledge in Healthcare concept.
• Should have good Verbal and Written communication skills.
• Excellent Knowledge on Denial management.
• Excellent Knowledge on Physician Billing / Ambulance Billing.
• Spot offer for the selected candidates.
• Should be proficient in calling the insurance companies.
• Meet the productivity targets of clients within the stipulated time.
• Ensure accurate and timely follow up on pending claims wherein required

Perks and benefits

• 5 Days Working
• Free two way cabs available
• Health Insurance
• Medical Insurance

Prepare daily attendance for all site and mail to corporate office.

Prepare Daily Call Report for all site and mail to corporate office.

Engineer shift roster has to make based on call

MS Office Knowledge

Pivot Tabel

Vlook up

Female Only

Technical Experience :

• 2-6 years of Python working experience
• Expertise in at least one popular Python framework /Django/ Flask
• Knowledge of object-relational mapping d
• Familiarity with front-end technologies JavaScript and HTML5

Key Responsibilities :

• Write effective, scalable code
• Develop back-end components to improve responsiveness and overall performance
• Integrate user-facing elements into applications
• Test and debug programs5 Improve functionality

Job Title: Chief Engineer: Deep Learning Compiler Expert

You will collaborate with experts in machine learning, algorithms and software to lead our effort of deploying machine learning models onto Samsung Mobile AI platform.

In this position, you will contribute, develop and enhance our compiler infrastructure for high-performance by using open-source technology like MLIR, LLVM, TVM and IREE.

Necessary Skills / Attributes:

• 6 to 15 years of experience in the field of compiler design and graph mapping.
• 2+ years hands-on experience with MLIR and/or LLVM.
• Experience with multiple toolchains, compilers, and Instruction Set Architectures.
• Strong knowledge of resource management, scheduling, code generation, and compute graph optimization.
• Strong expertise in writing modern standards (C++17 or newer) C++ production quality code along test-driven development principles.
• Comfortable and experienced in software development life cycle - coding, debugging, optimization, testing, and continuous integration.
• Familiarity with parallelization techniques for ML acceleration.
• Experience working on and contributing to an active compiler toolchain codebase, such as LLVM, MLIR, or Glow.
• Experience in deep learning algorithms and techniques, e.g., convolutional neural networks, recurrent networks, etc.
• Experience of developing in a mainstream machine-learning framework, e.g. PyTorch, Tensorflow or Caffe.
• Experience operating in a fast-moving environment where the workloads evolve at a rapid pace.
• Understanding of the interplay of hardware and software architectures on future algorithms, programming models and applications.
• Experience developing innovative architectures to extend the state of the art in DL performance and efficiency.
• Experience with Hardware and Software Co-design.

M.S. or higher degree, in CS/CE/EE or equivalent with industry or open-source experience.

Work Profile:

• Design, implement and test compiler features and capabilities related to infrastructure and compiler passes.
• Ingest CNN graphs in Pytorch/TF/TFLite/ONNX format and map them to hardware implementations, model data-flows, create resource utilization cost-benefit analysis and estimate silicon performance.
• Develop graph compiler optimizations (operator fusion, layout optimization, etc) that are customized to each of the different ML accelerators in the system.
• Integrate open-source and vendor compiler technology into Samsung ML internal compiler infrastructure.
• Collaborate with Samsung ML acceleration platform engineers to guide the direction of inferencing and provide requirements and feature requests for hardware vendors.
• Closely follow industry and academic developments in the ML compiler domain and provide performance guidelines and standard methodologies for other ML engineers.
• Create and optimize compiler backend to leverage the full hardware potential, efficiently optimizing them using novel approaches.
• Evaluate code performance, debug, diagnose and drive resolution of compiler and cross-disciplinary system issues.
• Contribute to the development of machine-learning libraries, intermediate representations, export formats and analysis tools.
• Communicate and collaborate effectively with cross-functional hardware and software engineering teams.
• Champion engineering and operational excellence, establishing metrics and processes for regular assessment and improvement.

Keywords to source candidates

Senior Developer, Deep Learning, Prediction engine, Machine Learning, Compiler

Requirements:-

• Must have good understanding of  Python and Shell scripting with industry standard coding conventions
• Must possess good coding debugging skills
• Experience in Design & Development of test framework
• Experience in Automation testing
• Good to have experience in Jenkins framework tool
• Good to have exposure to Continuous Integration process
• Experience in Linux and Windows OS
• Desirable to have Build  & Release  Process knowledge
• Experience in  Automating Manual test cases
• Experienced in automating OS / FW related tasks
• Understanding of BIOS / FW QA  is a strong plus
• OpenCV experience is a plus
• Good to have platform exposure
• Must have good Communication skills
• Good Leadership capabilities & collaboration capabilities, as individual will have to work with multiple teams and single handedly maintain the automation framework and enable the Manual validation team