Tour Planner

Strong Lead Data Science, / AI Engineer / Machine Learning Engineer profiles.

2

Mandatory (Experience 1) - Must have 10+ years of experience in Data Science, AI/ML or AI Engineering with hands-on experience building production-grade ML systems.

3

Mandatory (Experience 2) - Must have hands-on experience building AI/ML solutions for Credit Risk, Fraud Risk Management (FRM), Collections & Recovery, with proven delivery of business-impacting AI/ML solutions.

4

Mandatory (Experience 3) - Candidate's Current designation must be Lead or above.

5

Mandatory (Experience 4) - Must have strong experience designing and deploying large-scale distributed Machine Learning systems, including model training, fine-tuning, inference, scalable serving, and production deployment.

6

Mandatory (Experience 5) - Strong programming experience in Python, along with exposure to Spark, Kafka, Kubernetes, APIs/Microservices, CI/CD, Feature Store, Model Registry, and Distributed Computing.

7

Mandatory (Experience 6) - Experience designing and deploying Credit Risk Models, Fraud Detection Models, Graph ML, Early Warning Systems, Portfolio Monitoring, Collections Optimization, Propensity Models, and Recovery Forecasting.

8

Mandatory (Experience 7) - Proven experience leading AI/ML teams, owning end-to-end delivery, mentoring engineers, driving cross-functional execution, and managing production AI platforms.

9

Mandatory (Experience 8) – Must have experience working under BFSI governance, including PII handling, auditability, model governance, compliance, secure-by-design architecture, approval workflows, and model risk management practices.

10

Mandatory ( Education ) - B.TECH / M.TECH from Tier 1 Colleges (IIT's, NIT's, BITS) are Considered

11

Mandatory (Age) - Candidate's Age should be below 37 years.

12

Mandatory (CTC) – The CTC breakup offered will be 75% fixed + 25% variable, as per company policy.

13

Preferred (Experience 1) - Candidates currently working as Lead / Principal / Engineering Manager / Associate Director / Director in reputed Product, FinTech, Banking, NBFC, or Global Capability Centers will be preferred.

14

Preferred (Experience 2) - Indian professionals currently working overseas (NRI) who are planning to relocate and permanently settle in India are encouraged to apply.

15

Preferred (Experience 4) - Experience building enterprise AI platforms using Graph ML, Vector Databases, LLM-enabled decisioning, distributed training frameworks, and large-scale AI infrastructure.

Role & Responsibilities

Platform Unification-

• Audit technical architecture across all products; identify divergence points and integration friction
• Define common data models, API conventions, event-driven patterns, and database strategies for all verticals
• Create the GinesysOne architecture blueprint — the north-star reference for all engineering decisions
• Drive migration of duplicated capabilities (notifications, integrations, UI components, API gateway) to Shared App Platform
• Establish and track a Unification Score measuring % of common capabilities on shared platform
• Lead the Architecture Guild with Principal Engineers — weekly cross-vertical alignment forums

Delivery & Execution-

• Co-own what and when with the CPO — shape what gets built, when it ships, and trade-off decisions
• Drive bug-free releases through rigorous testing and automation
• Accelerate release velocity and reduce commit-to-production cycle time
• Implement release health metrics: defect escape rate, rollback rate, hotfix frequency, MTTR
• Manage L3 engineering support and ensure root cause elimination

Process Standardization & AI-Native Engineering-

• Standardize coding standards, branching strategy, code review, and testing requirements
• Mandate AI-assisted code generation and reviews
• Implement unified CI/CD pipelines with automated testing and security gates
• Create an engineering handbook as a single source of truth

People & Team Building-

• Hire and develop Engineering Managers
• Build and scale Shared App Platform team
• Develop Principal / Staff Engineer career track
• Unify engineering culture across acquired entities
• Establish clear career ladders for IC and management tracks

Quality & Reliability-

• Own overall product quality and QA processes
• Define quality metrics and enforce release gates
• Ensure cross-product QA sign-off before releases

Cross-Functional Collaboration-

• Co-own roadmap with CPO
• Partner with Infra, Platform, and Security teams
• Enable standardized data pipelines and APIs
• Ensure secure coding and security reviews

Ideal Candidate

• Strong Head of Engineering / Engineering Director / VP Engineering profiles
• Mandatory (Experience 1): Must have minimum 14+ years of overall experience in software engineering roles.
• Mandatory (Experience 2): Must have minimum 5+ years of experience in senior engineering leadership roles (Head of Engineering / VP Engineering / Engineering Director or equivalent).
• Mandatory (Experience 3): Must have experience leading large engineering organizations managing 50+ engineers across multiple teams or product verticals.
• Mandatory (Experience 4): Must have strong experience defining and driving common technical architecture, platform standardization, or engineering unification across multiple products or systems.
• Mandatory (Experience 5): Must have deep expertise in scalable system architecture, SaaS platforms, microservices architecture, and event-driven systems.
• Mandatory (Experience 6): Must have proven experience building or scaling shared platforms/services, including common APIs, integration layers, shared services, or platform ecosystems.
• Mandatory (Experience 7): Must have ownership of engineering delivery and execution, including release management, development lifecycle optimization, automation practices, and establishing standardized engineering processes such as CI/CD, coding standards, testing practices, and engineering governance..
• Mandatory (Experience 8): Must have experience working in SaaS or product-based technology organizations.
• Mandatory (Note): Candidate should be based in Gurugram / NCR or must have a strong reason to relocate.
• Preferred (Experience 1): Experience working in Retail Tech, ERP, POS, OMS, or enterprise SaaS platform environments.
• Preferred (Experience 2): Experience collaborating closely with Product, Infrastructure, Platform, and Security leadership teams to drive engineering roadmap execution.

Perks, Benefits and Work Culture

• Comprehensive health insurance coverage.
• Excellent rewards and recognition policy.
• Transparent compensation policy with no unnecessary deduction in CTC.
• Annual company off-site and a variety of events, celebrations throughout the year.
• Travelling opportunities between our offices across the country.
• Annual Ginesys walkathon & related sporting events.
• Quarterly Coffee with CEO.

Role Description

This is a full-time, on-site role at our Bengaluru office. As a Sales Development Specialist, you will focus on generating, prospecting, qualifying, and nurturing leads to fuel pipeline growth. The role requires proactive outreach, systematic lead qualification, and close collaboration with the sales team to achieve revenue goals.

Key Responsibilities

• Lead Generation: Identify and research potential customers using online research tools and databases, CRM data, and campaigns; build prospect lists aligned to ICPs.
• Outbound Outreach: Connect with prospects via cold calls, emails, and other suitable mediums; personalize outreach to build interest.
• Lead Qualification: Assess prospects using BANT/CHAMP frameworks to ensure only qualified leads are focused by the sales team.
• Consultative Selling: Engage with decision-makers at Indian consumer brands to understand their sales, distribution, and channel engagement challenges.
• Pipeline Management: Track leads and activities in CRM; maintain accurate reporting.
• Deal Support: Partner with senior sales team member on follow-ups and assist in progressing opportunities.
• Collaboration: Work with product, marketing and leadership teams to refine outreach strategies and improve conversions.

Ideal Profile

• 1–3 years experience in sales with focus on lead prospecting and qualification
• Strong communication, presentation, and relationship-building skills
• Consultative selling mindset with ability to engage decision-makers
• Familiarity with CRM tools (e.g., HubSpot, Zoho), sales funnels, and B2B buying cycles
• Self-starter with a growth mindset, eager to learn in a dynamic startup environment
• Bachelor's degree in Business, Marketing, or related field
• Prior SaaS sales experience and exposure to Indian MSMEs is a plus

Why Nexxio?

• Be part of a mission-driven startup transforming MSMEs across India
• Gain exposure to full-cycle B2B enterprise sales
• Be part of our growth story and accelerate your career
• Competitive salary + significant performance-linked incentives
• Complimentary office lunch
• Good work-life-balance (9:30 AM to 6:30 PM India time)

What you need to have:

• Must be either a Finance graduate / ICWA / MBA Finance / CA Inter.
• 5-7 years of relevant work experience in payroll function.
• Handled in and out payroll inputs, variance analysis and also understands drivers to payroll cost.
• Excellent communication skills and also with an excellent analytical mind.    

Require a Fullstack Developer with the following Skills:

NodesJS + Typescripts+ AWS Lambda + AWS Step Functions as mandatory skill sets

• Participate in full machine learning Lifecycle including data collection, cleaning, preprocessing to training models, and deploying them to Production.
• Discover data sources, get access to them, ingest them, clean them up, and make them “machine learning ready”. 
• Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models. 
• Partner with data scientists to understand and implement machine learning algorithms. 
• Support A/B tests, gather data, perform analysis, draw conclusions on the impact of your models. 
• Work cross-functionally with product managers, data scientists, and product engineers, and communicate results to peers and leaders. 
• Mentor junior team members 

Who we have in mind:

• Graduate in Computer Science or related field, or equivalent practical experience. 
• 4+ years of experience in software engineering with 2+ years of direct experience in the machine learning field.
• Proficiency with SQL,  Python, Spark, and basic libraries such as Scikit-learn, NumPy, Pandas.
• Familiarity with deep learning frameworks such as TensorFlow or Keras
• Experience with Computer Vision (OpenCV),  NLP frameworks (NLTK, SpaCY, BERT).
• Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering). 
• Understand machine learning principles (training, validation, etc.) 
• Strong hands-on knowledge of data query and data processing tools (i.e. SQL) 
• Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code. 
• Experience deploying highly scalable software supporting millions or more users 
• Experience building applications on cloud  (AWS or Azure) 
• Experience working in scrum teams with Agile tools like JIRA
• Strong oral and written communication skills. Ability to explain complex concepts and technical material to non-technical users

What you need to have: