Business Developer

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.

7+ years of experience of Workday HCM configuration across 4+ Workday modules and 5+ deployments

Key responsibilities

• Lead design/requirements workshops
• Highly confident in configuring workday with the ability to utilise Workday Community where necessary
• Highly confident in building accurate estimates for Workday configuration work
• Approve effort estimates of more junior consultants
• High level of understanding of how business utilise HR technology to their advantage
• Directly manage a team of consultants based in India
• Manage customer escalations around direct reports work
• Support in building the CloudRock team based in Indian through being an advocate for CloudRock and a leadership figure
• Support and mentor junior resource based in India/Portugal/UK
• Full understanding of the Workday deployment methodology
• Achieve a high level of utilisation
• Be consultative in their customer approach

• Assisting and coordinating with operations team
• supporting administrative staff
• conducting marketing research
• documentation and reporting to the operations department
• preparing reports on competitor product analysis
• ensuring if everything is working in a perfect manner
• using technology to keep the company updated behind the curtains
• Should be responsible for efficient dealing of complaints to completion and enabling satisfaction of customer.
• Responsible for rendering useful administrative support to other members of the customer care team.
• Responsible for documenting all calls with regards to participant inquires accurately using Call Tracking System.
• Responsible for monitoring Call tracking for responses from administrative team so call returns are done in a timely fashion.
• Responsibility is to Follow-up with participants within a 24-hour period in regards to the initial phone call even if it is to just touch base and let participant know inquiry is still be researched.
• Responsibility is to answer participant questions, as well as question participants to obtain full understanding of what information is being requested.

Responsibilities

• Understand both functional and non-functional requirements and translate them into tasks that can be worked upon individually or in a team.
• Use your skills in programming and system design to develop robust and scalable software.
• Perform POCs and build solutions that require integration with other systems.
• Provide estimations for a Sprint or Tasks, and share inputs in design and architectural choices.
• Work in a fast-paced environment and contribute to all phases of SDLC.
• Maintain minimal yet essential engineering documentation to complement the product.
• Collaborate with engineers, product, and business teams as part of Agile delivery.
• Perform code reviews and provide guidance to the team in building software and following the defined process.
• Carry an ownership attitude when working on any solution.

Requirements

• Strong at problem-solving using Java 8 and above.
• Good understanding of SDLC using agile methodologies iterative development.
• Basic skills in HTML, CSS, and JavaScript are desired.
• Hands-on knowledge of using Spring Boot or Quarkus for building Microservices or API driven solutions.
• Good knowledge of SQL and experience in using any RDBMS like MySQL, PostgreSQL.
• Understanding or exposure to Cloud-Native development using AWS is an added advantage.
• Any experience in working on projects built using Microservice architecture, esp if using React and Java with Docker is an added advantage.

- We are looking for techies with a passion to develop high-performance web applications. 

- If you are interested and looking to build scalable and high-performance apps, then join us. We are building web app based on React with server-side rendering. For mobile, we are building PWA.

Roles & Responsibilities :

1. Build scalable web applications using ReactJS, Redux and other related libraries.

2. Integrating back-end API's with front-end.

3. Build reusable code and libraries for future use.

4. Optimize application performance and reduce page loading speed.

5. Solid experience in architecting and implementing highly scalable front-ends in modern technologies such as React or Vue.

6. Gathering requirements from design and technical staff and client on web development needs/Defining effective solutions for business and process problems.

Who we are

ixigo is an AI-based travel app that helps millions of users plan and book their trips every day. Launched in 2007, ixigo is proud to have built numerous industry-first AI-innovations over the last decade. With pre-emptive help from ixigo at every touch-point of their journey, 150 million Indians are now making smarter travel decisions every year. ixigo uses Artificial Intelligence for deal discovery, personalized recommendations, dynamic marketing, airfare predictions, train delay information, PNR confirmation status, infrastructure cost optimization, business intelligence and providing fully-automated customer service over chat and voice. This makes ixigo a lean, tech-intensive and capital-efficient travel business, serving millions of travelers with a team size of under 200. Founded in 2007 by Aloke Bajpai & Rajnish Kumar, ixigo’s investors include Sequoia Capital India, Fosun RZ Capital, SAIF Partners, MakeMyTrip & Micromax.

The iOS Team

Our iOS team is always keen to stay ahead of the curve by always adopting the latest tech in the valley. We were first to market with adopting iPhone X layout, implementing ARKit in 2017, and Siri Shortcuts in 2018. We have been featured across app store over a dozen times in the past 2 years in Today, Apps, and Travel section.

Compensation: Commensurate to skills & experience; comparable to the best in the industry.

Culture: ixigems enjoy a fun and rewarding work atmosphere. We do not believe in hierarchies, and we encourage communication and constructive collaboration. We believe in the personal growth of individuals, creative approaches to solve real-world problems, and questioning the status quo!