Sales executive

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.

JOB DESCRIPTION/PREFERRED QUALIFICATIONS:

REQUIRED SKILLS/COMPETENCIES:

Programming Languages:

• Strong in Python, data structures, and algorithms.
• Hands-on with NumPy, Pandas, Scikit-learn for ML prototyping.

Machine Learning Frameworks:

• Understanding of supervised/unsupervised learning, regularization, feature engineering, model selection, cross-validation, ensemble methods (XGBoost, LightGBM).

Deep Learning Techniques:

• Proficiency with PyTorch or TensorFlow/Keras
• Knowledge of CNNs, RNNs, LSTMs, Transformers, Attention mechanisms.
• Familiarity with optimization (Adam, SGD), dropout, batch norm.

LLMs & RAG:

• Hugging Face Transformers (tokenizers, embeddings, model fine-tuning).
• Vector databases (Milvus, FAISS, Pinecone, ElasticSearch).
• Prompt engineering, function/tool calling, JSON schema outputs.

Data & Tools:

• SQL fundamentals; exposure to data wrangling and pipelines.
• Git/GitHub, Jupyter, basic Docker.

WHAT ARE WE LOOKING FOR?

• Solid academic foundation with strong applied ML/DL exposure.
• Curiosity to learn cutting-edge AI and willingness to experiment.
• Clear communicator who can explain ML/LLM trade-offs simply.
• Strong problem-solving and ownership mindset.

MINIMUM QUALIFICATIONS:

• Doctorate (Academic) Degree and 2 years related work experience; Master's Level Degree and related work experience of 5 years; Bachelor's Level Degree and related work experience of 7 years in building AI systems/solutions with Machine Learning, Deep Learning, and LLMs.

MUST-HAVES:

• Education/qualification:  Preferably from premier Institute like IIT, IISC, IIIT, NIT and BITS. Also regional tier 1 colleges.

• Doctorate (Academic) Degree and 2 years related work experience; or Master's Level Degree and related work experience of 5 years; or Bachelor's Level Degree and related work experience of 7 years

• Min 5 yrs experience in the Mandatory Skills: Python, Deep Learning, Machine Learning, Algorithm Development and Image Processing

• 3.5 to 4 yrs proficiency with PyTorch or TensorFlow/Keras

• Candidates from engineering product companies have higher chances of getting shortlisted (current company or past experience)

QUESTIONNAIRE: 

Do you have at least 5 years of experience with Python, Deep Learning, Machine Learning, Algorithm Development, and Image Processing? Please mention the skills and years of experience:

Do you have experience with PyTorch or TensorFlow / Keras?

• PyTorch
• TensorFlow / Keras
• Both

How many years of experience do you have with PyTorch or TensorFlow / Keras?

• Less than 3 years
• 3 to 3.5 years
• 3.5 to 4 years
• More than 4 years

Is the candidate willing to relocate to Chennai?

• Ready to relocate
• Based in Chennai

What type of company have you worked for in your career?

• Service-based IT company
• Product company
• Semiconductor company
• Hardware manufacturing company
• None of the above

Job Description

• 8+ years of experience to Lead, coach and mentor team of 5-8 full stack and backend engineers
• Write high quality code
• Champion coding standards and re-usable components
• Influence the technical direction of the engineering team
• Partner with Product Managers in designing and defining new features
• Serve as a key member of a Scrum team
• Participate and potentially lead Communities-of-Practice programs.

Requirements

• 8+ years of large-scale distributed ecommerce systems experience
• Expert understanding of Java, database, and messaging technologies
• Enthusiasm for constant improvement as a Software Engineer
• Ability to communicate clearly effectively and motivate team members
• Reactive Java a plus
• Passionate about Ecommerce and retail a plus

Technical Skill Set

• Java (Core & Advanced)
• Spring Boot, RESTful Services, Reactive Java (preferred)                                                                    
• Vue.js, Web Components (Lit Framework)
• Oracle, Cassandra
• Apache Kafka
• System Design, Microservices Architecture, Scalable & Event-Driven Systems

Android Engineer – AI Platforms & Immersive Experiences

Company: Jio Reality Labs

Location: Navi Mumbai, India

Job Type: Full-Time

Job Summary

Jio Reality Labs is looking for a skilled Android Engineer to build high-performance, scalable mobile

applications for AI-driven, real-time, and immersive platforms used by millions of users. This role

focuses on creating intuitive, responsive, and visually rich Android experiences for AI/ML

dashboards, real-time analytics, and AR/VR-enabled applications.

Responsibilities

1. Mobile Application Development

 Build and maintain scalable, high-performance Android applications using modern

development frameworks and tools.

 Develop intuitive user interfaces for AI/ML workflows, real-time analytics dashboards, and

enterprise tools.

 Translate product requirements and UX designs into clean, maintainable, and reusable code.

2. Real-Time & Data-Driven Interfaces

 Implement real-time UI updates for streaming data, live metrics, and system monitoring

dashboards.

 Work with APIs and WebSockets to render low-latency, data-intensive views.

 Ensure smooth user experience under high-traffic and high-data-volume scenarios.

3. UI/UX & Performance Optimization

 Optimize mobile application performance for speed, responsiveness, and scalability.

 Ensure compatibility across Android devices, screen sizes, and OS versions.

 Collaborate closely with designers to deliver polished, immersive user experiences.

4. Platform & Architecture

 Design mobile architecture that supports modularity, scalability, and long-term

maintainability.

 Implement state management, reusable components, and modular libraries to support

complex applications.

 Contribute to mobile development standards, best practices, and reusable design systems.

5. Collaboration & Delivery

 Work closely with backend, AI/ML, data engineering, and platform teams to integrate APIs

and workflows.

 Participate in code reviews, sprint planning, and technical design discussions.

 Support CI/CD pipelines and production deployments.

Required Skills & Qualifications

 Strong experience in Android development using Kotlin or Java.

 Hands-on experience with Android SDK, Jetpack components, and modern Android

architecture patterns (MVVM/MVI).

 Solid understanding of mobile UI principles, layouts, and responsive design.

 Experience consuming REST APIs and working with real-time data (WebSockets, streaming).

 Familiarity with performance optimization techniques and debugging tools.

Preferred Skills

 Experience building dashboards or data-intensive mobile applications.

 Familiarity with data visualization libraries or charting frameworks.

 Exposure to AR/VR, 3D, or graphics-intensive interfaces (ARCore, OpenGL, Unity

integrations).

 Experience with design systems, component libraries, and accessibility standards.

 Understanding of cloud-based deployments and CI/CD workflows.

Backend Development & API Design

·      Design, develop, and maintain scalable and high-performance REST APIs using FastAPI.

·      Implement robust and secure authentication and authorization mechanisms.

·      Ensure seamless data flow and communication between frontend and backend services.

Database & Performance Optimization

·      Work with SQL databases (PostgreSQL, etc.), including writing optimized queries and managing database schemas.

·      Implement data storage solutions that ensure high availability, performance, and scalability.

·      Monitor database performance and troubleshoot any issues proactively.

Server-Side Logic & Security

·      Develop and maintain scalable microservices using Python.

·      Implement security best practices to protect data integrity and prevent vulnerabilities.

·      Handle server-side logic to support business requirements efficiently.

Monitoring & Analytics

·      Implement monitoring tools to track application performance and system health.

·      Set up logging mechanisms for better debugging and system observability.

·      Use analytics to optimize application performance and database efficiency.

General Engineering Responsibilities

·      Collaborate with front-end engineers to ensure seamless API integration.

·      Write clean, maintainable, and well-documented code.

·      Stay updated with the latest backend technologies, frameworks, and best practices.

🌍 We’re Hiring: Customer Facing Data Scientist (CFDS) | Remote | Full-time

Are you passionate about applied data science and enjoy partnering directly with enterprise customers to deliver measurable business impact?

Do you thrive in fast-paced, cross-functional environments and want to be the face of a cutting-edge AI platform?

We’re looking for a Customer Facing Data Scientist to design, develop, and deploy machine learning applications with our clients, helping them unlock the value of their data while building strong, trusted relationships.

What You’ll Do:

🔹 Collaborate directly with customers to understand their business challenges and design ML solutions

🔹 Manage end-to-end data science projects with a customer success mindset

🔹 Build long-term trusted relationships with enterprise stakeholders

🔹 Work across industries: Banking, Finance, Health, Retail, E-commerce, Oil & Gas, Marketing

🔹 Evangelize the platform, teach, enable, and support customers in building AI solutions

🔹 Collaborate internally with Data Science, Engineering, and Product teams to deliver robust solutions

What We’re Looking For:

✔️ 5–10 years of experience solving complex data problems using Machine Learning

✔️ Expert in ML modeling and Python coding

✔️ Excellent customer-facing communication and presentation skills

✔️ Experience in AI services or startup environments preferred

✔️ Domain expertise in Finance is a plus

✔️ Applied experience with Generative AI / LLM-based solutions is a plus

✨ Why Join Us:

• High-impact opportunity to shape a new business vertical
• Work with next-gen AI technology to solve real enterprise problems
• Backed by top-tier investors with experienced leadership
• Recognized as a Top 5 Data Science & ML platform by G2
• Comprehensive benefits: medical, vision, dental insurance, 401(k)

About us

We are building new-age billing and pricing infrastructure for SaaS companies. As SaaS pricing evolves from vanilla subscription-based models to more granular usage-based models, billing and pricing infrastructure needs to be completely reimagined.

Founders who sold their previous startups to Snapdeal and Gaana respectively. They have experience at organizations such as Google, Basepair, Elevation Capital, IIT Bombay, IIT Delhi and Harvard Business School. We are funded by marquee global investors, including Bessemer Venture Partners.

We are building our founding team, and are looking for:

1. engineers who can optimize for quick iteration, fast deployment and having a great developer experience.
2. sales, marketing and growth folks who are excited to push the envelope on GTM (go-to-market) innovation

You should be excited about learning and meaningfully shaping the trajectory of an early-stage startup from Day 0 in its journey.

What you can expect

• Ownership and autonomy: As a founding team member, you have immense responsibility. You own and drive the execution.
• Learning: You will work on challenging problems and engage in some of the most meaningful work of your life.
• You will have to figure out our Go-To-Market playbook from scratch - channels, messaging, discovery, demos, sales cycle, personas, nurturing, partnerships etc. Expect a whole lot of iteration and first principles thinking.
• Culture:
• We don’t take ourselves too seriously, and know how to have fun
• The health of our team is most important to us. Balance work with life - be productive, not busy.
• Being remote first, we thrive via async communication.
• Flexibility: Remote - work from wherever you are in the world; If you prefer coming to the office in person, we have a physical space in Indiranagar, Bangalore 
• Compensation: We offer competitive salaries with generous ESOPs
• Benefits (for full-time roles):
• Health insurance
• Generous vacation policy
• Learning and development budget
• Team events and company offsites
• Maternity and Paternity benefits
• Company laptop

About this role

We are building our founding team and are looking for folks who are excited to get their hands dirty in a 0 to 1 journey. If you are expecting a working playbook that you can execute, we are probably not the right fit for you at this point. However, if you are excited about creating the playbook from scratch, we would love to hear from you 

You will directly work with the founders.

Outbound sales are critical to generating meetings with qualified prospects. You will lay the foundation for and execute our outbound sales strategy.

The primary objective is to generate meetings with qualified prospects by optimizing our outbound sales machinery - iterating on channels, messaging, ICP (ideal customer profile), tooling etc.

• Outbound prospecting
• Find leads from databases (Apollo, ZoomInfo, etc.)
• Reach out to them (manual + automated) via different channels (email, LinkedIn, cold calling, etc.) to generate new sales opportunities
• Identify the needs of prospects, and build long-term, trusting relationships with to qualify leads as sales opportunities
• Iterate to maximize qualified meetings set up
• Experiment with different databases
• Experiment with messaging, level of personalization, length of sequences etc.
• Experiment with channels (email, LinkedIn, cold calls etc.)
• Experiment with different types of collateral
• Experiment with the recipient being targeted - industry, persona, intent signals etc.
• Loop in feedback from prospect responses to emails and cold calls to refine messaging further
• Inbound follow-ups - Respond to inbound leads and automate follow-up communication; iterate on messaging/channels to maximize conversion rate
• Run custom campaigns e.g., writing to VCs for intros to their portfolio companies, writing to conference attendees, scraping forums and job descriptions for relevant leads etc.
• Set up in-house tooling to ensure email deliverability, monitor open rate/reply rate, track domain reputation etc.
• Owning the CRM: Create and update leads, set up pipelines, email templates, and automation. Fully utilize CRM capabilities to nurture leads and deliver timely and relevant content

Key Qualifications

• 1-2 years of experience working as a sales development representative at a B2B SaaS company
• The solid hustle and entrepreneurial mindset; Thrive under the uncertainty that comes with an early-stage setup
• Excellent written and oral communication skills
• Experience working with lead databases, sales engagement tools etc
• Familiarity with CRM systems and proficiency in managing leads, pipelines, and automation
• Willingness to get your hands dirty and do the grunt work in the early days
• Strong first principles understanding of business fundamentals; Ability to empathize with the end user, and understand their pain points; Ability to understand the product at a granular level
• Adaptable to work across time zones to cater to a global customer base
• Self-driven individual with high ownership and a strong work ethic
• Ability to build, manage and motivate a team
• Previous entrepreneurial experience is a huge plus
• Experience catering to the CFO persona is a plus
• Familiarity with billing systems, CPQ and accounting systems is a plus
• Not taking yourself too seriously :)

• Experience with Hibernate and Spring.
•   Experience with Springboot, spring MVC
• Experience with all phases of the Software Development Lifecycle, including system analysis, design, coding, testing, debugging and documentation
• Teamwork & collaboration skills to work across organizations
• Problem solving skills to develop quick yet sound solutions to resolve complex issues
• Programming Language(s): Java, J2EE, JSON, HTML, DHTML, HTML 5, XML, EXTJS.
• Experience with XML/HTTP and Web Services
• Experience with HTML, JSP, CSS, JQuery / Ajax / JSON,
•     Experience /Knowledge of Angular, React.
• Experience building J2EE based Web Applications
• Experience with MySql.