Data Analytics
PythonA Delhi NCR based Applied AI & Consumer Tech company tackling one of the largest unsolved consumer internet problems of our time. We are a motley crew of smart, passionate and nice people who believe you can build a high performing company with a culture of respect aka a sports team with a heart aka a caring meritocracy.
Our illustrious angels include unicorn founders, serial entrepreneurs with exits, tech & consumer industry stalwarts and investment professionals/bankers.
We are hiring for our founding team (in Delhi NCR only, no remote) that will take the product from prototype to a landing! Opportunity for disproportionate non-linear impact, learning and wealth creation in a classic 0-1 with a Silicon Valley caliber founding team.
Key Responsibilities:
1. Data Strategy and Vision:
· Develop and drive the company's data analytics strategy, aligning it with overall business goals.
· Define the vision for data analytics, outlining clear objectives and key results (OKRs) to measure success.
2. Data Analysis and Interpretation:
· Oversee the analysis of complex datasets to extract valuable insights, trends, and patterns.
· Utilize statistical methods and data visualization techniques to present findings in a clear and compelling manner to both technical and non-technical stakeholders.
3. Data Infrastructure and Tools:
· Evaluate, select, and implement advanced analytics tools and platforms to enhance data processing and analysis capabilities.
· Collaborate with IT teams to ensure a robust and scalable data infrastructure, including data storage, retrieval, and security protocols.
4. Collaboration and Stakeholder Management:
· Collaborate cross-functionally with teams such as marketing, sales, and product development to identify opportunities for data-driven optimizations.
· Act as a liaison between technical and non-technical teams, ensuring effective communication of data insights and recommendations.
5. Performance Measurement:
· Establish key performance indicators (KPIs) and metrics to measure the impact of data analytics initiatives on business outcomes.
· Continuously assess and improve the accuracy and relevance of analytical models and methodologies.
Qualifications:
- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field.
- Proven experience (5+ years) in data analytics, with a focus on leading analytics teams and driving strategic initiatives.
- Proficiency in data analysis tools such as Python, R, SQL, and advanced knowledge of data visualization tools.
- Strong understanding of statistical methods, machine learning algorithms, and predictive modelling techniques.
- Excellent communication skills, both written and verbal, to effectively convey complex findings to diverse audie
Shubham Vishwakarma
Full Stack Developer - Averlon
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Spring Boot
JavaPosition Title : Software Engineer
Position Type: Full-Time
Department: Research & Development
Reports To: First Level Manager,
Company Background:
Affiliated with US Group companies, CGLIA Solutions LLP is an innovative Software Product Development organization developing highly available, highly secure, cloud-based enterprise software products catering to the needs of leading Research Facilities, University Medical Centers, Hospitals, and Pharmaceutical companies across the globe, ultimately contributing to the development of life-saving medications.
CGLIA is committed to helping software professionals unleash their creativity, build world-class enterprise applications, and accelerate their careers in a collaborative and innovation-driven environment.
Job Summary :
As a Software Engineer (Java), you will be responsible for designing, developing, and maintaining scalable, secure, and high-performance cloud-based enterprise applications. You will work closely with Product Management, Business Analysts, QA, DevOps, and cross-functional engineering teams to deliver innovative software solutions that exceed customer expectations.
The ideal candidate should be a self-starter with excellent analytical and problem-solving skills, strong expertise in Java backend technologies, and a passion for developing high-quality software. This role also provides an opportunity to mentor junior engineers, participate in technical discussions, and contribute to architectural decisions.
Key Responsibilities
- Participate in requirement analysis and collaborate with Product Management to understand functional and non-functional requirements.
- Contribute to technical design discussions and prepare technical design documentation.
- Design, develop, test, and maintain scalable backend applications using Java and Spring Boot.
- Develop and maintain RESTful APIs and Microservices.
- Write clean, reusable, maintainable, and well-documented code following industry best practices.
- Optimize application performance, scalability, reliability, and security.
- Perform unit testing, code reviews, debugging, and production issue resolution.
- Collaborate with QA, DevOps, UI, and Product teams throughout the software development lifecycle.
- Mentor junior engineers and actively contribute to knowledge sharing within the team.
- Stay updated with emerging technologies, frameworks, and software development best practices.
- Participate in technical interviews and hiring activities to support organizational growth.
- Undertake additional responsibilities as required to achieve project and organizational objectives.
Qualifications (Education, Experience, Skills & Knowledge)
- Bachelor's degree in Computer Science, Information Technology, or an equivalent discipline.
- 5+ years of hands-on experience in Java application development.
- Strong expertise in Core Java (Java 8/11/17) and Object-Oriented Programming concepts.
- Extensive experience with Spring Boot, Spring MVC, Spring Data JPA, Spring Security, and Hibernate.
- Strong experience designing and developing RESTful APIs and Microservices.
- Experience working with relational databases such as MySQL, PostgreSQL, Oracle, or MS SQL Server.
- Good understanding of Data Structures, Algorithms, Design Patterns, and Multithreading.
- Angular, Bootstrap, Material Design, HTML5, CSS, JavaScript
- Hands-on experience with Git, Maven/Gradle, and Agile/Scrum development methodologies.
- Experience with code quality tools such as SonarQube and static code analysis.
- Exposure to Docker, Kubernetes, CI/CD pipelines, and cloud platforms (AWS, Azure, or GCP) is preferred.
- Knowledge of messaging systems such as Kafka or RabbitMQ is an added advantage.
- Strong analytical, troubleshooting, and debugging skills.
- Excellent written, verbal, and interpersonal communication skills.
- Ability to work independently and collaboratively in a fast-paced product development environment.
- Eagerness to learn and adopt new technologies.
Kubernetes
Docker
Amazon Web Services (AWS)Job Responsibilities
This position will be responsible to consult with clients and propose architectural solutions to help move & improve infra from on-premise to cloud or help optimize cloud spend from one public cloud to the other.
- Be the first one to experiment on new age cloud offerings, help define the best practice as a thought leader for cloud, automation & Dev-Ops, be a solution visionary and technology expert across multiple channels.
- Use your experience in Google cloud platform, AWS or Microsoft Azure to build hybrid-cloud solutions for customers.
- Design and implement robust cloud solutions on AWS to meet organizational requirements.
- Leverage AWS services like EC2, S3, Lambda, RDS, ECS, and EKS to build and maintain solutions.
- Design, deploy, and manage Kubernetes clusters for containerized workloads.
- Implement and optimize CI/CD pipelines for Kubernetes-based applications.
- Ensure high availability, scalability, and performance of Kubernetes clusters.
- Develop and manage infrastructure using Terraform to ensure repeatable and automated deployments.
- Create and maintain Terraform modules and scripts for various cloud environments.
- Lead migration projects to move applications, workloads, and data from on-premises or other cloud platforms to AWS.
- Conduct assessments and provide recommendations for cloud readiness and optimization.
- Implement best practices for security, compliance, and governance in AWS environments.
- Manage IAM policies, roles, and permissions to ensure secure access.
- Confident working with others to inspire a high-quality standard. Work closely with cross-functional teams, including developers, operations, and business stakeholders, to understand requirements and provide technical solutions.
Accomplishment Set
- Passionate, persuasive, articulate Cloud professional capable of quickly establishing interest and credibility
- Good business judgment, a comfortable, open communication style, and a willingness and ability to work with customers and teams.
- Strong service attitude and a commitment to quality.
- Highly organized and efficient.
- Confident working with others to inspire a high-quality standard. Work closely with cross-functional teams, including developers, operations, and business stakeholders, to understand requirements and provide technical solutions.
- Communicate complex technical concepts to non-technical stakeholders.
Qualification
Is Education overrated? Yes. We believe so. However there is no way to locate you otherwise. So we might be looking for at least a Bachelor's or Master's degree in engineering from a reputed institute or you should be programming from 12. And the latter is better along with:
Passion to tech-awesome, insatiable desire to learn the latest of the new-age cloud tech, highly analytical aptitude and a strong desire to deliver outlives those fancy degrees!
- 7+ years of experience with at least 5+ years of experience with at least 2 - 3 years of hands-on experience in Cloud Computing (AWS/GCP/Azure) and IT operational experience in a global enterprise environment.
- Knowledge of programming against cloud platforms such as Google Cloud Platform and lean development methodologies.
- Hands-on expertise with Kubernetes (EKS) and Terraform.
- Proven experience in designing and executing cloud migration projects.
- Strong understanding of AWS core services (e.g., EC2, S3, Lambda, RDS, VPC).
- Proficiency in scripting and automation using tools like Bash, Python, or PowerShell.
- Experience with CI/CD tools (e.g., Jenkins, GitLab CI/CD, AWS CodePipeline).
- Knowledge of networking fundamentals, including DNS, VPN, Load Balancing, and Firewalls.
- Good analytical, communication, problem-solving, and learning skills.
Machine Learning (ML)
Deep LearningSenior AI/ML Engineer
Location: Gurugram, Haryana
Employment Type: Full-Time
Experience: 5+ Years
About Aaizel Tech
Aaizel Tech is a pioneering tech startup at the intersection of cybersecurity, AI, geospatial solutions, and more. We drive innovation by delivering transformative technology solutions across industries. As part of our dynamic team, you'll gain hands-on experience and learn from experts who are dedicated to pushing the boundaries of what's possible.
Role Overview
As AI/ML Engineer, you will lead the development, deployment, and optimization of advanced AI systems spanning Generative AI, Large Language Models (LLMs), Agentic AI, Computer Vision, and intelligent automation. You will drive innovation, mentor junior engineers, and build scalable, production-ready AI solutions.
Key Responsibilities
AI Development & Research
- Design and develop end-to-end AI/ML solutions using Machine Learning, Deep Learning, and Generative AI techniques.
- Build solutions involving NLP, Computer Vision, multimodal AI, anomaly detection, and predictive analytics.
- Develop and optimize LLM-based applications, RAG pipelines, and Agentic AI workflows.
- Fine-tune and evaluate foundation models, including LLMs and Vision Language Models (VLMs).
- Research, prototype, and productionize state-of-the-art AI techniques.
Model Optimization & Deployment
- Optimize models for performance, scalability, latency, and real-time inference.
- Apply model compression techniques such as quantization, pruning, and distillation for edge and cloud deployments.
- Deploy AI applications using Docker, Kubernetes, and modern model-serving frameworks.
- Implement MLOps/LLMOps practices, CI/CD pipelines, model versioning, monitoring, and observability.
Collaboration & Leadership
- Collaborate with cross-functional teams to integrate AI capabilities into end-to-end products.
- Mentor junior engineers, conduct code reviews, and promote engineering best practices.
- Maintain technical documentation and contribute to architectural decisions.
Preferred Technology Stack
Programming: Python, SQL
AI/ML: PyTorch, TensorFlow, Scikit-learn, Hugging Face, PyTorch Lightning
Generative AI & Agents: LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, DSPy
LLMs & RAG: OpenAI, Gemini, Anthropic APIs, FAISS, Pinecone, Milvus, Qdrant, Weaviate
Computer Vision & Edge AI: OpenCV, ONNX Runtime, TensorRT, OpenVINO, Tesseract OCR
MLOps/LLMOps: Docker, Kubernetes, MLflow, Kubeflow, Weights & Biases, GitLab CI/CD
Cloud: AWS, Azure, GCP
Monitoring: Prometheus, Grafana, LangSmith, Evidently AI
Databases: PostgreSQL, MongoDB, Redis
Required Skills & Qualifications
- 5+ years of experience in AI/ML, Deep Learning, or related domains.
- Strong proficiency in Python and hands-on experience with PyTorch, TensorFlow, and Hugging Face ecosystem.
- Experience building LLM applications, RAG systems, and Agentic AI solutions.
- Strong understanding of Generative AI, Transformers, Prompt Engineering, and modern NLP techniques.
- Experience in Computer Vision and deploying optimized models in cloud and/or edge environments.
- Hands-on experience with Docker, Kubernetes, CI/CD pipelines, and cloud platforms.
- Proven ability to translate research into scalable production systems.
- Excellent problem-solving, communication, leadership, and mentoring skills.
Education
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
What We Offer
- Opportunity to work on cutting-edge AI and Generative AI solutions.
- Continuous learning, research, and career growth opportunities.
- Collaborative and innovation-driven work culture.
- Opportunity to build impactful, next-generation AI products.
How to Apply
• Please submit your resume, portfolio, and a cover letter outlining your relevant experience and how you can contribute to Aaizel Tech’s success.
REVIEW CRITERIA:
- Strong Credit & Risk strategist profile
- Must have 2.5+ years of experience as credit and risk strategist/analyst in unsecured personal loan in B2C Fintech Product Companies (or NBFC)
- Must have strong understanding of automated underwriting and SMS underwriting for lending
- Must have experience with scorecards, rule engine, bureau data, device signals and behavioural insights
- B2C Fintech Product companies
ROLE & RESPONSIBILITIES:
We are looking for a Credit & Risk Lead who can craft smart, data-driven credit strategies to scale the app while keeping delinquencies low.
WHAT YOU’LL DO:
- Build and refine credit strategies for short-tenure, small-ticket unsecured personal loans.
- Work with Data Science to improve decision engines, scorecards, rules, and real-time underwriting models.
- Create sharp risk segmentation using behaviour, device signals, bureau data, fraud patterns, and portfolio trends.
- Analyse bounce rates, roll rates, early-bucket trends, and cohort behaviour to identify segments driving delinquencies.
- Share clear insights with Collections to boost pre-due and early DPD performance and improve cure rates.
- Track vintages, cohorts, and DPD curves to iterate policies, limits, and approval logic continuously.
- Strengthen fraud detection, identity checks, and thin-file underwriting frameworks to ensure clean approvals.
- Own policy governance, compliance, documentation, and alignment with RBI Digital Lending Guidelines.
- Stay ahead of market trends, competitor practices, and regulatory shifts to keep the risk engine future-ready.
IDEAL CANDIDATE:
- 2.5+ years in unsecured personal loan risk within a fintech or NBFC.
- Strong understanding of digital underwriting, policy design, and credit decisioning for short-tenure PL.
- Experience working with scorecards, rule engines, bureau data, device signals, and behavioural insights.
- Ability to work closely with Data Science, interpret large datasets, and convert insights into clear credit actions.
- Strong communication, cross-functional collaboration, and a proactive, analytical mindset.
PERKS, BENEFITS AND WORK CULTURE:
- Work directly with Founders: Mikhil Innani, former co-founder of PharmEasy and ex-Product Head at Hotstar, and Diksha Nangia, a former banker and CFA Charterholder.
- Best of both worlds: startup energy + listed company stability.
- Competitive pay and fast-track growth.
Java
NodeJS (Node.js)Python
React.jsA Solutions Architect is responsible for validating the logical models, ensuring standards, driving consolidation of redundant data, and enforcing the strategic vision through data models. The Architect role has an in-depth understanding of both our business capabilities and how it aligns to our enterprise data models. Partners with Enterprise Architecture to consult on and develop domain models. Consults with project teams and functional units on the design of important projects or services. consults with business leadership on the design of systems and projects. May consult with leadership on emerging technologies.
To be successful as a solution architect, you should be able to integrate any updated specifications and requirements into the systems architecture. An outstanding solution architect should be able to explain complex problems to management in layman’s terms.
Responsibilities:
Building and integrating information systems to meet the company’s needs.
Assessing the systems architecture currently in place and working with technical staff to recommend solutions to improve it.
E2E accountability of solution design across multiple products, integrations and technologies that deliver successful business outcomes which meet reliability, availability, serviceability needs.
Experience working with the latest emerging tehnolgies and Programming Languages like - Java, .Net, MERN Stack, MEAN Stack, Angular, React, VueJS, NodeJS, Block Chain, GoLang, ML, Data Science related areas, etc
Provide detailed specifications for proposed solutions
Resolving technical problems as they arise.
Providing supervision and guidance to development teams.
Continually researching current and emerging technologies and proposing changes where needed.
Informing various stakeholders about any problems with the current technical solutions being implemented.
Assessing the business impact that certain technical choices have.
Providing updates to stakeholders on product development processes, costs, and budgets.
Work closely with Information Technology professionals within the company to ensure hardware is available for projects and working properly
Propose and establish framework for necessary contributions from various departments
Account for possible project challenges on constraints including, risks, time, resources, and scope
NodeJS (Node.js)
MongoDB
Express
Elastic SearchAbout Quantela
We are a technology company that offers outcomes business models. We empower our customers with the right digital infrastructure to deliver greater economic, social, and environmental outcomes for their constituents.
When the company was founded in 2015, we specialized in smart cities technology alone. Today, working with cities and towns; utilities, and public venues, our team of 280+ experts offer a vast array of outcomes business models through technologies like digital advertising, smart lighting, smart traffic, and digitized citizen services.
We pride ourselves on our agility, innovation, and passion to use technology for a higher purpose. Unlike other technology companies, we tailor our offerings (what we can digitize) and the business model (how we partner with our customer to deliver that digitization) to drive measurable impact where our customers need it most. Over the last several months alone, we have served customers to deliver outcomes like increased medical response times to save lives; reduced traffic congestion to keep cities moving and created new revenue streams to tackle societal issues like homelessness.
We are headquartered in Billerica, Massachusetts in the United States with offices across Europe, and Asia.
The company has been recognized with the World Economic Forum’s ‘Technology Pioneers’ award in 2019 and CRN’s IoT Innovation Award in 2020.
For latest news and updates please visit us at www.quantela.com
Overview of the Role
Collaborate with cross-functional teams to define, design and build performant modern web applications and services. Build high quality web applications and services by writing clean and modular code
Must have Skills
- 10+ years of experience in leading teams and delivering product, write unit and integration tests to ensure robustness and reliability of web applications and services.
- Measure and improve performance of microservices.
- Catalyze growth within the team through code reviews and pair programming to maintain high development standards Investigate operational issues to find the root cause and propose improvements Design, build, and maintain APIs, services, and systems across Stripe’s engineering teams.
- Expert level of experience in design and development of Web Applications, highly scalable distributed systems.
- Should have experience in development skills using latest technologies including NodeJS, Microservices, Elastic search, Timescale DB, Kafka, Redis, etc.
- Should have exposure in NoSQL and SQL development.
- Comprehensive knowledge of physical and logical data modelling, performance tuning.
- Should possess excellent communication, presentation, and interpersonal skills.
- Ability to work collaboratively and productively with globally dispersed teams
- Build high performance teams and Coach team for successful career growth
- Experience working with relational and non-relational databases, query optimization, and designing schema
Desired Background
Bachelors/Masters degree in Computer Science or Computer Applications
ScalaDATA ENGINEERING CONSULTANT
About NutaNXT: NutaNXT is a next-gen Software Product Engineering services provider building ground-breaking products using AI/ML, Data Analytics, IOT, Cloud & new emerging technologies disrupting the global markets. Our mission is to help clients leverage our specialized Digital Product Engineering capabilities on Data Engineering, AI Automations, Software Full stack solutions and services to build best-in-class products and stay ahead of the curve. You will get a chance to work on multiple projects critical to NutaNXT needs with opportunities to learn, develop new skills,switch teams and projects as you and our fast-paced business grow and evolve. Location: Pune Experience: 6 to 8 years
Job Description: NutaNXT is looking for supporting the planning and implementation of data design services, providing sizing and configuration assistance and performing needs assessments. Delivery of architectures for transformations and modernizations of enterprise data solutions using Azure cloud data technologies. As a Data Engineering Consultant, you will collect, aggregate, store, and reconcile data in support of Customer's business decisions. You will design and build data pipelines, data streams, data service APIs, data generators and other end-user information portals and insight tools.
Mandatory Skills: -
- Demonstrable experience in enterprise level data platforms involving implementation of end-to-end data pipelines with Python or Scala - Hands-on experience with at least one of the leading public cloud data platforms (Ideally Azure)
- - Experience with different Databases (like column-oriented database, NoSQL database, RDBMS)
- - Experience in architecting data pipelines and solutions for both streaming and batch integrations using tools/frameworks like Azure Databricks, Azure Data Factory, Spark, Spark Streaming, etc
- . - Understanding of data modeling, warehouse design and fact/dimension concepts - Good Communication
Good To Have:
Certifications for any of the cloud services (Ideally Azure)
• Experience working with code repositories and continuous integration • Understanding of development and project methodologies
Why Join Us?
We offer Innovative work in AI & Data Engineering Space, with a unique, diverse workplace environment having a Continuous learning and development opportunities. These are just some of the reasons we're consistently being recognized as one of the best companies to work for, and why our people choose to grow careers at NutaNXT. We also offer a highly flexible, self-driven, remote work culture which fosters the best of innovation, creativity and work-life balance, market industry-leading compensation which we believe help us consistently deliver to our clients and grow in the highly competitive, fast evolving Digital Engineering space with a strong focus on building advanced software products for clients in the US, Europe and APAC regions.
- Own the end-to-end design process of the team to drive high-quality product design.
- Translate concepts into user flows, wireframes, mockups and prototypes that lead to intuitive user experiences.
- Find creative ways to solve UX problems(usability and findability)
- Deliver a constant focus on improvement. Leverage metrics, user testing, and innovative design thinking to guide your leading design decisions.
- Bring an in-depth understanding of design patterns across web and mobile
- Sense of ownership and pride in your performance and its impact on the company's success
- Critical thinking and problem-solving skills
- Wants to work in a fast-paced environment, good to have experience in a Product based startup.
Qualifications
2-6 years of designing B2C products for mobile & web.
- Have experience with accessibility and A/B testing.
- A track record of leading and inspiring design teams.
- Experience setting up user research programs and testing methodologies that drive
design decisions.
HTML/CSS
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon