Sales Executive

Role & Responsibilities

Development of Core JavaScript libraries.

Writing reusable code or modules that can be used across all the JavaScript libraries.

Talking about your work - we love open source software, we heavily use them, and talking about how we use them is the least we can do to help the community. See our engineering blog and our GitHub page

Ideal Candidate

6-8 Years of Experience

Passion for writing Vanilla JavaScript

Strong knowledge and experience in JavaScript, HTML, and CSS.

Work Experience with TypeScript

Deep understanding of the DOM, Browser Events, JavaScript APIs, Canvas rendering, etc.

Deep understanding of how the browsers work.

Regard for optimizations that focus on delivering content to the user as quickly as possible.

Awesome Debugging Skills.

Passion to write automated tests to verify the working of libraries (You can’t possibly verify things on all devices and all browsers manually). We use Cypress for this.

Understanding the similarities and differences across browsers (young and old).

Experience in writing modular JavaScript code

Knowledge of high-level programming concepts like promises, and data-binding.

Passion to stay up to date with the constantly evolving world of front-end development.

Role Overview:

Zolvit is looking for a highly skilled and self-driven Lead Machine Learning Engineer / Lead Data Scientist to lead the design and development of scalable, production-grade ML systems. This role is ideal for someone who thrives on solving complex problems using data, is deeply passionate about machine learning, and has a strong understanding of both classical techniques and modern AI systems like Large Language Models (LLMs).

You will work closely with engineering, product, and business teams to identify impactful ML use cases, build data pipelines, design training workflows, and ensure the deployment of robust, high-performance models at scale.

Key Responsibilities:

● Design and implement scalable ML systems, from experimentation to deployment.

● Build and maintain end-to-end data pipelines for data ingestion, preprocessing, feature engineering, and monitoring.

● Lead the development and deployment of ML models across a variety of use cases — including classical ML and LLM-based applications like summarization, classification, document understanding, and more.

● Define model training and evaluation pipelines, ensuring reproducibility and performance tracking.

● Apply statistical methods to interpret data, validate assumptions, and inform modeling decisions.

● Collaborate cross-functionally with engineers, data analysts, and product managers to solve high-impact business problems using ML.

● Ensure proper MLOps practices are in place for model versioning, monitoring, retraining, and performance management.

● Keep up-to-date with the latest advancements in AI/ML, and actively evaluate and incorporate LLM capabilities and frameworks into solutions.

● Mentor junior ML engineers and data scientists, and help scale the ML function across the organization.

Required Qualifications:

● 7+ years of hands-on experience in ML/AI, building real-world ML systems at scale.

● Proven experience with classical ML algorithms (e.g., regression, classification,

clustering, ensemble models).

● Deep expertise in modern LLM frameworks (e.g., OpenAI, HuggingFace, LangChain)

and their integration into production workflows.

● Strong experience with Python, and frameworks such as Scikit-learn, TensorFlow,

PyTorch, or equivalent.

● Solid background in statistics and the ability to apply statistical thinking to real-world

problems.

● Experience with data engineering tools and platforms (e.g., Spark, Airflow, SQL,

Pandas, AWS Glue, etc.).

● Familiarity with cloud services (AWS preferred) and containerization tools (Docker,

Kubernetes) is a plus.

● Strong communication and leadership skills, with experience mentoring and guiding

junior team members.

● Self-starter attitude with a bias for action and ability to thrive in fast-paced environments.

● Master’s degree in Machine Learning, Artificial Intelligence, Statistics, or a related

field is preferred.

Preferred Qualifications:

● Experience deploying ML systems in microservices or event-driven architectures.

● Hands-on experience with vector databases, embeddings, and retrieval-augmented

generation (RAG) systems.

● Understanding of Responsible AI principles and practices.

Why Join Us?

● Lead the ML charter in a mission-driven company solving real-world challenges.

● Work on cutting-edge LLM use cases and platformize ML capabilities for scale.

● Collaborate with a passionate and technically strong team in a high-impact environment.

● Competitive compensation, flexible working model, and ample growth opportunities.

Description: 

 4+ Years of experience in systems development and Guidewire Billing experience. 

 4+ years of technical experience in enterprise-level application design, execution, and software deployments. 

 Hands-on development expertise on Guidewire BillingCenter with configuration. 

 Configure business rules and other business logic in Gosu. 

 Design and code integration components including plug-ins and programs that call the GW APIs Create form and letter templates and their supporting XML descriptor files. 

 Skilled in the use of applicable programming languages for the areas of developing code for, to include but are not limited to Java, SQL etc. 

 Experience leveraging source code management, such as GitHub or Bitbucket. 

 Supports production deployments and automation, actively lead monitoring, job control, and production support, and participates in and provides support for production issues related to the Guidewire solution. 

 Expertise configuring and developing several areas of BillingCenter including but not limited to Account/Policy/Producer Handling, Various Plan Types, Billing Instructions, Charges, Charge Patterns, Charge Invoicing, Invoice Items, Direct/List/Agency Bill Processing, Premium Reporting, Holds and writeoffs, Handling of Trouble Tickets/ Collaterals and Return Premium, Funds Tracking and Contacts. 

 Well versed with all Guidewire Billing center configuration areas like PCF, Gosu, Business Rules, Invoicing, Billing Types, Charge Distributions, Payments, Delinquency process, Commissions, etc. 

 Robust understanding of BillingCenter DataModel 

Education: 

 BE/B.Tech, BCA, B.SE, MCA, MBA / Any Graduate/Any Post Graduate

Position Full-Time: Investment Engineering Associate

Specific Responsibilities

The Investment Engineering Associate’s main responsibilities will include supporting the investment team by building technology-based analytical tools. The Investment Engineering Associate will design and maintain workflows vital to the firm’s investment process - this ranges from creating adhoc analysis to information rich dashboard construction. Typical tasks will include web crawler scripting/collection, web application development, programming (including API integrations), and optimal database/library/query management.

Qualifications

• BS or MS in Computer Science, Engineering, or Data Science

• 2+ years of experience • Candidates should have extensive experience with several of the following languages: Python, Ruby, C/C++, Javascript, HTML5, CSS3, SQL, PHP, etc.

• The Investment Solutions Associate should be familiar with Office VBA • Characteristics of the Solutions Associate include: effective communication skills, attention to detail, and strong ethical values

Main tasks

• Supervision of the CI/CD process for the automated builds and deployments of web services and web applications as well as desktop tool in the cloud and container environment
• Responsibility of the operations part of a DevOps organization especially for development in the environment of container technology and orchestration, e.g. with Kubernetes
• Installation, operation and monitoring of web applications in cloud data centers for the purpose of development of the test as well as for the operation of an own productive cloud
• Implementation of installations of the solution especially in the container context
• Introduction, maintenance and improvement of installation solutions for development in the desktop and server environment as well as in the cloud and with on-premise Kubernetes
• Maintenance of the system installation documentation and implementation of trainings

Execution of internal software tests and support of involved teams and stakeholders

• Hands on Experience with Azure DevOps.

Qualification profile

• Bachelor’s or master’s degree in communications engineering, electrical engineering, physics or comparable qualification
• Experience in software
• Installation and administration of Linux and Windows systems including network and firewalling aspects
• Experience with build and deployment automation with tools like Jenkins, Gradle, Argo, AnangoDB or similar as well as system scripting (Bash, Power-Shell, etc.)
• Interest in operation and monitoring of applications in virtualized and containerized environments in cloud and on-premise
• Server environments, especially application, web-and database servers
• Knowledge in VMware/K3D/Rancer is an advantage
• Good spoken and written knowledge of English

Our goal

We are reinventing the future of MLOps. Censius Observability platform enables businesses to gain greater visibility into how their AI makes decisions to understand it better. We enable explanations of predictions, continuous monitoring of drifts, and assessing fairness in the real world. (TLDR — build the best ML monitoring tool)

The culture

We believe in constantly iterating and improving our team culture, just like our product. We have found a good balance between async and sync work — default is still Notion docs over meetings, but at the same time, we recognize that as an early-stage startup brainstorming together over calls leads to results faster. If you enjoy taking ownership, moving quickly, and writing docs, you will fit right in.

The role:

Our engineering team is growing and we are looking to bring on board a senior software engineer who can help us transition to the next phase of the company. As we roll out our platform to customers, you will be pivotal in refining our system architecture, ensuring the various tech stacks play well with each other, and smoothening the DevOps process.

On the platform, we use Python (ML-related jobs), Golang (core infrastructure), and NodeJS (user-facing). The platform is 100% cloud-native and we use Envoy as a proxy (eventually will lead to service-mesh architecture).

By joining our team, you will get the exposure to working across a swath of modern technologies while building an enterprise-grade ML platform in the most promising area.

Responsibilities

• Be the bridge between engineering and product teams. Understand long-term product roadmap and architect a system design that will scale with our plans.
• Take ownership of converting product insights into detailed engineering requirements. Break these down into smaller tasks and work with the team to plan and execute sprints.
• Author high-quality, highly-performance, and unit-tested code running on a distributed environment using containers.
• Continually evaluate and improve DevOps processes for a cloud-native codebase.
• Review PRs, mentor others and proactively take initiatives to improve our team's shipping velocity.
• Leverage your industry experience to champion engineering best practices within the organization.

Qualifications

Work Experience

• 5+ years of industry experience (3+ years in a senior engineering role) preferably with some exposure in leading remote development teams in the past.
• Proven track record building large-scale, high-throughput, low-latency production systems with at least 3+ years working with customers, architecting solutions, and delivering end-to-end products.
• Fluency in writing production-grade Go or Python in a microservice architecture with containers/VMs for over 5+ years.
• 2+ years of DevOps experience (Kubernetes, Docker, Helm and public cloud APIs)
• Worked with relational (SQL) as well as non-relational databases (Mongo or Couch) in a production environment.
• (Bonus: worked with big data in data lakes/warehouses).
• (Bonus: built an end-to-end ML pipeline)

Skills

• Strong documentation skills. As a remote team, we heavily rely on elaborate documentation for everything we are working on.
• Ability to motivate, mentor, and lead others (we have a flat team structure, but the team would rely upon you to make important decisions)
• Strong independent contributor as well as a team player.
• Working knowledge of ML and familiarity with concepts of MLOps

Benefits

• Competitive Salary 💸
• Work Remotely 🌎
• Health insurance 🏥
• Unlimited Time Off ⏰
• Support for continual learning (free books and online courses) 📚
• Reimbursement for streaming services (think Netflix) 🎥
• Reimbursement for gym or physical activity of your choice 🏋🏽‍♀️
• Flex hours 💪
• Leveling Up Opportunities 🌱

You will excel in this role if

• You have a product mindset. You understand, care about, and can relate to our customers.
• You take ownership, collaborate, and follow through to the very end.
• You love solving difficult problems, stand your ground, and get what you want from engineers.
• Resonate with our core values of innovation, curiosity, accountability, trust, fun, and social good.

Job Responsibilities:

• Developing and installing software solutions.
• Designing, implementing and delivering high quality Software project in JAVA, SQL / Oracle, J2EE and other JAVA technologies.
• Participate in detailed level in design, coding, code walk through, peer code reviews and unit testing, System Testing, UAT, Demos, POCs, installation, maintenance of Software modules.
• Software prototype.
• System Architecture.
• Software Design Document.
• User interfaces to be developed as per UX guidelines Code files ensuring coding guidelines followed.
• Code review artefacts during peer code review.
• Test plan and Test Cases.
• Installation / Deployment document Release Document.
• Technical Documentation.

Team Lead – Operations

·       Must have work experience in a BPO of 1 year as a Team Lead

·       Should be fluent in English and Hindi (able to clear Versant 4)

·       Open to rotational shifts and week off  (24/7 process)

·       6 day working

·       Experience in Inbound calling

·       Managing a team of at least 15 callers

·       Must have qualities of a good leader