QA Automation Lead

Roles & Responsibilities

• Lead AI Product Pods across Credit Risk, Fraud, and Collections functions.
• Build and deploy production-scale Machine Learning systems for lending lifecycle decisioning.
• Own complete ML lifecycle including feature engineering, model training, evaluation, deployment, monitoring, and continuous improvement.
• Design scalable distributed ML infrastructure, feature stores, model registries, and MLOps pipelines.
• Develop AI solutions for underwriting, portfolio risk monitoring, fraud detection, anomaly detection, and recovery optimization.
• Drive model governance, monitoring, explainability, and compliance within BFSI regulatory standards.
• Collaborate with Product, Risk, Engineering, Data, and Business teams to deliver AI-driven business outcomes.
• Define AI platform architecture, operational excellence, SLAs, and incident management practices.
• Build, mentor, and scale high-performing AI Engineering and Data Science teams.

Ideal Candidate

1.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.

• Creating visual concepts, layouts, and designs.
• Developing graphics for websites, advertisements, and print media.
• Collaborating with clients or teams to understand design requirements.
• Incorporating feedback and revisions into designs.
• Ensuring designs align with brand guidelines and objectives.

Role: Academic Counselor

Location: Gurgaon

About Us:

Founded in 2015 with a vision to create a globally trusted student guidance ecosystem, CollegeDekho

connects prospective students with colleges using its proprietary technology and AI-based chatbot. Its

Common Application Form platform, which enables students to apply to multiple colleges with a single

click, is India’s largest of its kind. Since its inception, CollegeDekho has guided over 85 lakh students

while successfully ensuring 1.3 lakh admissions, across all its platforms. CollegeDekho offers various

information on more than 35,000 colleges and universities across the country. Along with its offerings for

students, they also help more than 1500 colleges with their student recruitment. CollegeDekho has raised

over $53Mn from investors like Winter Capital, ETS Strategic Capital - the private equity investments arm

of ETS (creator of the TOEFL® tests and GRE® General Test), Calega, Man Capital, Disrupt ADQ and

QIC.

For more information, kindly visit www.collegedekho.com

About the role –

● Counsel students over the phone for admissions in UG & PG Courses.

● Assist learners in forms filling for admission.

● Guide students to take admission in our partner colleges as per the assigned targets.

● Have a direct access to the colleges SPOC as & when required & help in admission conversion

process. Maintain daily MIS on the calls & walk-ins (if any)

Must have skills:

● Excellent listening + communications skills (English, Hindi, Kannada and Tamil)..

● Interpersonal Skills

● Integrity and Professionalism.

● Ability to operate within a wide range of student personalities and background.

● Should enjoy working in a core sales driven environment.

● Self-starter & ability to execute high velocity closures.

● Inherent ability to have engaging conversations.

● Graduate in any stream.

● Comfort & knowledge of Microsoft Office (for data management)

GirnarSoft Education Services Pvt.Ltd. provides equal opportunities to all its employees and all qualified

applicants for employment, without regard to their race, caste, religion, colour, ancestry, marital status, sex,

age, nationality, disability and veteran status

• Be responsible for engineering road map, architecture and scalability/quality of products.
• Effectively collaborate with Product managers, Business teams to develop long-term product roadmap and own release planning - in a fast-paced, evolving environment.
• Perform well in ambiguous situations. We are a startup with a significant product suite.
• Mentor and guide a team of engineers across various levels and areas of expertise. Help engineers make good architectural decisions, improve code quality and delivery.
• Be responsible for tech solutioning, architecture being deployed maintaining right balance b/w short term and long term outcomes – speed vs quality.
• Establish strong engineering best practices and champion their adoption.
• Define career trajectory for your team and share feedback regularly to help them grow.

• 7+ years of experience in end to end cloud software development with exposure in building scalable, fault tolerant and secure large scale distributed systems. At least 1-2 years managing eng. teams.
• Bachelors or Masters degree in engineering (preferably computer science or sister branches) from a reputed institute (preferably IITs, NITs, or other top engineering institutes).
• Deep expertise in Java & tech stack (Springboot) & micro service based architecture writing maintainable, scalable, unit-tested code. This position requires a good mix of hands-on and people management.
• Hands-on experience in low-level and high-level design with the ability to propose and validate system design.
• You are comfortable jamming on code refactoring, architecture and design principles.
• Sound understanding of web technologies (JS, HTML5 CSS), databases - SQL & NoSQL (e.g. Cassandra), distributed caches (e.g. Redis), message queues (e.g. Kafka).
• Knowledge of UI architectural patterns like MVVM, MVC, MVP etc is useful.
• Exposure to android app development is a good plus.
• You have working knowledge of CI/CD pipelines and infrastructure tools such as Docker, Kubernetes, Gradle, GIT, Jenkins, ELK, Prometheus, Grafana or equivalents.
• You are an opensource enthusiast with the curiosity to stay abreast of latest tech.
• Must be comfortable working in fast paced agile environments. Ability to plan, prioritise, estimate and execute releases with strong degree of predictability.
• Excellent people & communication skills.
• Experience with AWS stack is preferred.
• Experience with a high-growth startup is a plus.

Technical Lead – AUTOSAR

Location : Hyderabad

Fulltime

Job Description:

Must Have:

Proficient in development of Base Software in AUTOSAR.

Experience in configuration of different AUTOSAR BSW components (Comms/Diags/Memory).

Experience of working in any of the commercial AUTOSAR stack’s (EB/Vector/KPIT/Mentor/Arccore etc.).

Very good problem resolution and debugging skills.

Very good communication and cross-cultural skills.

Good To Have:

Experience of working in Vector AUTOSAR Stack and related tool chain.

Experience of working in RTE and APSW layers.

Experience in people management.

Working Knowledge in IS026262.

Experience in latest uc platforms (Infineon/Renesas/TI/NXP).

Job R&R:

Mentor/Lead a team of around 5-10 engineers.

Role might include supervisory responsibility.

Work in SW development of ADAS Products.

• Candidates will be responsible to conduct workshops on 3D printing and designing in education institutions
•  Candidate will be resposible to develop educational content on 3D printing and 3D designing
• Candidate will be responsible to train clients on usage of 3D printers