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Strong Lead Data Science, / AI Engineer / Machine Learning Engineer profiles.
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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.
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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.
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Mandatory (Experience 3) - Candidate's Current designation must be Lead or above.
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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.
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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.
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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.
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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.
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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.
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Mandatory ( Education ) - B.TECH / M.TECH from Tier 1 Colleges (IIT's, NIT's, BITS) are Considered
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Mandatory (Age) - Candidate's Age should be below 37 years.
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Mandatory (CTC) – The CTC breakup offered will be 75% fixed + 25% variable, as per company policy.
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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.
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Preferred (Experience 2) - Indian professionals currently working overseas (NRI) who are planning to relocate and permanently settle in India are encouraged to apply.
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Preferred (Experience 4) - Experience building enterprise AI platforms using Graph ML, Vector Databases, LLM-enabled decisioning, distributed training frameworks, and large-scale AI infrastructure.
Founding Engineer (Full Stack Engineer)
Location: Remote (India)
About the Role
We're hiring a Mid-Senior Full Stack Engineer to build AI-powered software products from the ground up. You'll own features end-to-end across the frontend and backend, working on scalable systems, real-time applications, and AI-driven workflows.
If you enjoy solving complex engineering challenges, building production-grade applications, and working with modern technologies, we'd love to hear from you.
What You'll Do
- Build and ship end-to-end features across frontend and backend.
- Design scalable APIs, services, and database schemas.
- Develop and maintain real-time applications using WebSockets and event-driven architectures.
- Build asynchronous processing pipelines and background jobs.
- Integrate AI/LLM capabilities into production applications.
- Optimize application performance, scalability, and reliability.
- Collaborate on architecture, code reviews, and engineering best practices.
- Mentor junior engineers and contribute to technical decision-making.
Tech Stack
Frontend
- React
- Next.js
- TypeScript
- Tailwind CSS
Backend
- Python
- FastAPI
- PostgreSQL
- Redis
AI & Infrastructure
- LLM Integrations
- REST APIs
- WebSockets
- Background Workers
- Docker
- CI/CD
What We're Looking For
- Strong experience building production-grade web applications.
- Expertise in React, Next.js, and TypeScript.
- Solid backend development experience with Python (FastAPI preferred).
- Strong knowledge of PostgreSQL and Redis.
- Experience designing scalable APIs and backend services.
- Familiarity with real-time systems and asynchronous processing.
- Experience working with AI/LLM-powered applications is a strong plus.
- Strong understanding of software architecture, testing, and clean code practices.
- Ability to work independently in a remote-first environment.
Nice to Have
- Experience with LangChain, LangGraph, or similar AI frameworks.
- Experience with RabbitMQ or Celery.
- Knowledge of cloud infrastructure and DevOps.
- Experience building high-scale distributed systems.
Why Join?
- Build cutting-edge AI-native products.
- Remote-first work environment.
- High ownership and technical autonomy.
- Opportunity to influence architecture and product direction.
- Work with a highly skilled engineering team.
If you're passionate about building modern AI-powered applications and enjoy solving challenging engineering problems, we'd love to connect.
Job Title: SRE Lead Engineer
Location: Hyderabad, India
Company: Client of Options Executive Search, AI Saas Product Development Company
We are seeking a DevOps / SRE Lead Engineer to architect and scale our client's multi-tenant SaaS platform with AI/ML at the core..
Our client, a fast-growing AI-powered SaaS company in the FinTech space, is looking for a Site Reliability Engineering (SRE) Lead Engineer to join their dynamic team. This is an opportunity to design and operate large-scale SaaS systems that integrate cutting-edge AI/ML capabilities.
About the Role
As the SRE Lead Engineer, you will be responsible for architecting, building, and maintaining infrastructure that powers a multi-tenant SaaS platform. You’ll drive reliability, scalability, and security, while supporting AI/ML pipelines in production. This is a hands-on role with significant ownership, requiring both technical depth and leadership in site reliability practices.
Key Responsibilities
- Architect, design, and deploy end-to-end infrastructure for large-scale, microservices-based SaaS platforms.
- Ensure system reliability, scalability, and security for AI/ML model integrations and data pipelines.
- Automate environment provisioning and management using Terraform in AWS (EKS-focused).
- Implement full-stack observability across applications, networks, and operating systems.
- Lead incident management and participate in 24/7 on-call rotation.
- Optimize SaaS reliability while enabling REST APIs, SSO integrations (Okta/Auth0), and cloud data services (RDS/MySQL, Elasticsearch).
- Define and maintain backup and disaster recovery for critical workloads.
Required Skills & Experience
- 8+ years in SRE/DevOps roles, managing enterprise SaaS applications in production.
- Minimum 1 year experience with AI/ML infrastructure or model-serving environments.
- Strong expertise in AWS cloud, particularly EKS, container orchestration, and Kubernetes.
- Hands-on experience with Infrastructure as Code (Terraform), Docker, and scripting (Python, Bash).
- Solid Linux OS and networking fundamentals.
- Experience in monitoring and observability with ELK, CloudWatch, or similar tools.
- Strong track record with microservices, REST APIs, SSO, and cloud databases.
Nice-to-Have Skills
- Experience with MLOps and AI/ML pipeline observability.
- Cost optimization and security hardening in multi-tenant SaaS.
- Prior exposure to FinTech or enterprise finance solutions.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, or related discipline.
- AWS Certified Solutions Architect (strongly preferred).
- Experience in early-stage or high-growth startups is an advantage.
Why Join?
- Be at the forefront of AI/ML-powered SaaS innovation in FinTech.
- Work with a high-energy, entrepreneurial team building next-gen infrastructure.
- Take ownership of mission-critical reliability challenges.
- Grow your career in an environment that values impact, adaptability, and innovation.
If you’re passionate about building secure, scalable, and intelligent platforms, we’d love to hear from you. Apply now to be part of our client’s journey in redefining enterprise finance operations.
We are looking for credit analysts who can help them perform threshold analysis and impact calculations to streamline their credit underwriting process. Hence, they are looking for people who have experience in doing similar or related work. Since this is an urgent requirement, your quick help is requested in filling this role.
Attaching sample profile as well.
Manager and SM - 25-50LPA
Skills: Credit analyst + SAS
Goot to have: Credit underwriting, EWS (Early warning signal),EBC regulations, IFRS9.
Level: SM or M ( 4+ years)
NP: Max 30 days.
Budget: max 45 LPA.
Loc: Pan India
Responsibilities:
- Credit Underwriting, credit appraisal process
- EWS analysis, IFRS9 staging, credit analysis, threshold analysis
- Querying and coding in SAS and SQL
- ECB regulations
We are looking for a Market Research Intern who will analyze customer preferences and data in order to support the decision making process regarding Product Design, Promotion and Prices.
Skills Required
- Ability to interpret large amounts of data and to multi-task.
- Strong communication and presentation skills.
- Excellent knowledge of Documentation tools like Miro, Notion and MS Office.
- Search engines, web analytics and business research tools acumen.
- Familiarity with CRM programs.
- Adequate knowledge of data collection methods (polls, focus groups, surveys etc)
- Working knowledge of data warehousing, modeling and mining.
- Strong analytical and critical thinking.
Roles and Responsibilities
- Collecting and consolidating consumer, competitors and market place data into reports and presentations.
- Conduct surveys to discover prospective customers’ preferences and for better understanding of Business Objectives.
- Find the gap in the market with respect to customers, and give solutions to tap the market,
- Provide competitive analysis on various companies strategies and market share.
- Prepare technical reports by collecting, analyzing and summarizing information.
- Remain fully informed on market trends.
About Us:
Spacenos is the fastest-growing start-up which is innovating in the finance, edtech and marketing domain since 2015 and won multiple awards and recognitions from more than 40+ MNCs and Fortune 500 companies. Our Clients are based out of the U.S.A and Australia. We are funded & Supported by Government of Karnataka, Angel Investors and International Grants.
Hiring Process:
- Apply for your CV and past work to be reviewed.
- Receive a telephonic interview or assessment upon filling the final step form.
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Receive offer letter if selected.
Hiring Duration:
Our hiring process takes less than 24 hours from the time you receive the Final Step form.
Validity: Up to Dec 2023
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Degree in Computer Science or a related field
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You have prior experience as an iOS Developer
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You have a portfolio of released applications on the App Store
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You are familiar with mobile product and design lifecycles
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You have proven experience in iOS development in either Objective-C / Swift
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Experience with iOS frameworks
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Familiarity with RESTful APIs to effectively integrate iOS applications
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Proficient understanding of code versioning tools (eg. Git)
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Familiarity with various testing tools
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You are a problem solver with good analytical skills
You should understand concepts of Web very well, Web Services Relational Database : MySQL (Good to know PostgreySQL ) NoSQL DB : MongoDB or any other.
- Preferred experience in development associated with Kafka or big data technologies understand essential Kafka components like Zookeeper, Brokers, and optimization of Kafka clients applications (Producers & Consumers). -
Experience with Automation of Infrastructure, Testing , DB Deployment Automation, Logging/Monitoring/alerting
- AWS services experience on CloudFormation, ECS, Elastic Container Registry, Pipelines, Cloudwatch, Glue, and other related services.
- AWS Elastic Kubernetes Services (EKS) - Kubernetes and containers managing and auto-scaling -
Good knowledge and hands-on experiences with various AWS services like EC2, RDS, EKS, S3, Lambda, API, Cloudwatch, etc.
- Good and quick with log analysis to perform Root Cause Analysis (RCA) on production deployments and container errors on cloud watch.
Working on ways to automate and improve deployment and release processes.
- High understanding of the Serverless architecture concept. - Good with Deployment automation tools and Investigating to resolve technical issues.
technical issues. - Sound knowledge of APIs, databases, and container-based ETL jobs.
- Planning out projects and being involved in project management decisions. Soft Skills
- Adaptability
- Collaboration with different teams
- Good communication skills
- Team player attitude
Candidates with experience in website selling campaign can apply
Open to work in full time morning/ Night shift job.
Both Fresher and experienced candidates can apply for this job opening.
>Fresher graduates with good communication skills in english can also apply.
>Candidates with 1-2 year experienced in outbound sales at international BPO (Website Sales exp is prefered).
>Both morning and Night shift available with 5 working day.
Fixed Salary - upto 10K for freshers.
Monthly Sales Incentives.
Saturday and sunday fixed off Fixed OFF.
For more information contact RAheel @ 829^611^57^04
Thank you.
- About the Job
Upside Digital is looking for a brilliant mind to help build its portfolio FinTech Startup, https://www.instaval.co/">InstaVal. The role of the FS Developer is ideal for smart coders who have the technical expertise and passion to turn our vision into a living product.
- You will
- Work with product lines to implement functional & non-functional business requirements into working software, including APIs, web services, etc.
- Enhance existing web solutions to ensure scalability across customer's new business requirements.
- You have
- Good Communication Skills.
- Good personal work ethics and a well-rounded team player.
- Ability to own and start projects with the team and manage to deliver in timely manner.
- You’re skilled at
- Microsoft .NET Framework (C#).
- Web development (http://asp.net/">ASP.NET, web services, WCF, JavaScript, NodeJS, AngularJS, HTML5, CSS).
- MongoDB or Microsoft SQL, MySQL, NoSQL.
- Staying on top of technology trend and contribute to technical design throughout project.
5. Your Bonus to us
- Experience or familiar with a SaaS business.
- Past startup experience.
6. Why us?
- InstaVal is a tech-enabled Business Valuation and Deal Discovery Platform made to promote equity investments in early stage business.
- Our vision is (i) to empower founders and (ii) enable ecosystem stakeholders to efficiently deliver their set of investment advisory & support services.
- An opportunity for you to be part of a global disruptive startup in the corporate finance space.
- We encourage creative thinking, independent responsibilities for business results & team collaboration.
- We have lives outside of work.
7. Terms, Perks & Conditions
- Airtime: Full-time basis - five days a We’re not civil service officials neither.
- Compensation structure: Salary, Bonus, Equity.
- Location: Dubai,
- Unlimited paid time off as long as you get **** done.
- Start Period: November 2019









