About Us: Valiance is a global AI and Data Analytics firm dedicated to empowering organizations through innovative technology solutions for digital transformation. We collaborate with marquee brands across India, the US, and APAC, delivering transformative solutions in Credit Risk, Fraud Detection, Predictive Maintenance, Quality Inspection, Data Lake Development, IoT Analytics, and more. Our team consists of 100+ experts specializing in Machine Learning, Data Engineering, and Cloud Technologies. Role Overview: We are seeking a seasoned Supply Chain Functional Consultant with a strong background in supply chain planning, execution, and optimization. The ideal candidate will be responsible for understanding client business requirements, aligning them with industry best practices, and delivering scalable, efficient supply chain solutions. You will play a key role in requirement analysis, solution design, and implementation across supply chain management (SCM) domains. Key Responsibilities: Analyze business requirements and translate them into effective supply chain solutions. Lead and participate in SCM solution design, architecture discussions, and implementation planning. Conduct workshops for requirements gathering, solutioning, and Conference Room Pilots (CRPs). Work closely with cross-functional teams to ensure end-to-end process alignment and solution integrity. Configure supply chain modules and document functional setups, test cases, and training materials. Provide post-implementation support, troubleshooting, and continuous improvement recommendations. Ensure timely and effective communication with stakeholders at all levels. Required Skills & Competencies: 5+ years of experience as a Supply Chain Functional Consultant. Strong functional expertise in supply chain planning, execution, and optimization. Participated in at least 2-3 SCM implementation/support programs. Excellent verbal and written communication skills. Proven ability to engage and collaborate with stakeholders and cross-functional teams. Experience with SCM modules such as Demand, Enterprise Supply Planning (ESP), etc. Capable of preparing business requirement documents, fit-gap analyses, test plans, and user training. Hands-on experience with PL/SQL for writing queries and procedures. Preferred Qualifications: Certifications such as CSPO, SAFe PO/PM, or APICS CPIM/CSCP. Familiarity with ERP systems like SAP, Oracle, and supply chain tools such as Manhattan or Blue Yonder (JDA). Prior experience working with Blue Yonder solutions is a significant advantage

Company Overview: We are a dynamic and innovative technology company leveraging cutting-edge cloud technologies and generative AI to create groundbreaking solutions that address complex challenges across various industries. We are seeking a skilled AI Engineer to to drive the architecture and development of our AI/ML applications, contributing to our growth and success. Role Overview: You will collaborate closely with cross-functional teams to design, develop, and deploy innovative solutions that harness the power of AI and generative technologies . Your technical expertise, leadership skills, and passion for pushing boundaries will be instrumental in achieving our goals. Responsibilities: Lead the design, architecture, and development of Gen AI applications using cloud technologies. Collaborate with product managers, software engineers, and end user to define application requirements, user experiences, and technical specifications. Drive technical excellence, code quality, and best practices within the team. Stay abreast of the latest advancements in Gen AI, cloud technologies, and software engineering trends, and incorporate relevant technologies into the development process. Collaborate with teams to ensure seamless deployment, scaling, and operation of applications in cloud environments. Actively participate in code reviews, providing constructive feedback and promoting code quality standards. Lead performance optimization efforts and address technical challenges to ensure the reliability and scalability of Gen AI applications. Contribute to the creation of technical documentation, including architectural diagrams, design specifications, and user guides. Qualifications : Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Must have 2+ years of experience with proven track record of architecting and developing software applications, preferably chatbots, information retrieval , enterprise search applications. Experience with extracting and organizing information from unstructured documents like pdf, word, text files and structured datasets. Experience working on i nformation retrieval applications based on natural language queries . You have knowledge or experience working with vector databases . Strong programming skills in languages such as Python . Understanding of LLM's and prompt engineering is desired with 6 to 12 months of hands on experience Experience with deployment of Gen AI applications on cloud using CI/CD tools Excellent problem-solving skills and ability to think critically and analytically. Strong communication and collaboration skills, with the ability to work effectively across cross-functional teams. Demonstrated ability to manage multiple priorities and meet deadlines in a fast-paced environment. Show more Show less

About Us At Valiance, we are building next-generation AI solutions to solve high-impact business problems. As part of our AI/ML team, you’ll work on deploying cutting-edge Gen AI models, optimizing performance, and enabling scalable experimentation. Role Overview We are looking for a skilled MLOps Engineer with hands-on experience in deploying open-source Generative AI models on cloud and on-prem environments. The ideal candidate should be adept at setting up scalable infrastructure, observability, and experimentation stacks while optimizing for performance and cost. Responsibilities Deploy and manage open-source Gen AI models (e.g., LLaMA, Mistral, Stable Diffusion) on cloud and on-prem environments Set up and maintain observability stacks (e.g., Prometheus, Grafana, OpenTelemetry) for monitoring Gen AI model health and performance Optimize infrastructure for latency, throughput, and cost-efficiency in GPU/CPU-intensive environments Build and manage an experimentation stack to enable rapid testing of various open-source Gen AI models Work closely with ML scientists and data teams to streamline model deployment pipelines Maintain CI/CD workflows and automate key stages of the model lifecycle Leverage NVIDIA tools (Triton Inference Server, TensorRT, CUDA, etc.) to improve model serving performance (preferred) Required Skills & Qualifications Strong experience in deploying ML/Gen AI models using Kubernetes, Docker, and CI/CD tools Proficiency in Python, Bash scripting, and infrastructure-as-code tools (e.g., Terraform, Helm) Experience with ML observability and monitoring stacks Familiarity with cloud services (GCP, AWS, or Azure) and/or on-prem environments Exposure to model tracking tools like MLflow, Weights & Biases, or similar Bachelor’s/Master’s in Computer Science, Engineering, or related field Nice to Have Hands-on experience with NVIDIA ecosystem (Triton, CUDA, TensorRT, NGC) Familiarity with serving frameworks like vLLM, DeepSpeed, or Hugging Face Transformers Show more Show less

Role: DevOps Engineer Experience : 3-5 years Location: Noida Job Description: We are seeking a talented and motivated Software Engineer with expertise in DevOps tools and cloud automation to join our team. As a Software Engineer, you will play a crucial role in automating the IT infrastructure and application deployment processes for AI/ML-based applications utilizing pre-trained and custom models. The primary focus will be on deploying applications on cloud platforms using Docker containers and handling various infrastructure automation tasks, such as configuring VPCs, attaching disks to servers, and setting up network endpoints. Responsibilities: DevOps and Cloud Automation: Implement and maintain automation pipelines for the deployment of AI/ML-based applications on cloud platforms (e.g., AWS, GCP) using Docker containers. Application Deployment: Collaborate with the development teams to design and execute efficient and reliable application deployment processes. Infrastructure Automation: Automate infrastructure provisioning and configuration tasks, including VPC setup, server configuration, and network endpoint configuration. Containerization: Assist in containerizing applications using Docker, ensuring scalability, portability, and security. Continuous Integration/Continuous Deployment (CI/CD): Implement and enhance CI/CD pipelines to streamline the application deployment process. Monitoring and Logging: Set up monitoring and logging solutions to ensure the smooth functioning of deployed applications and identify performance bottlenecks. Security: Work closely with the security team to implement best practices for securing cloud-based applications and infrastructure. Troubleshooting and Support: Collaborate with cross-functional teams to troubleshoot and resolve any infrastructure or deployment-related issues. Documentation: Maintain detailed documentation of infrastructure and deployment processes, ensuring knowledge sharing and seamless handover. Requirements: Educational Background: Bachelor's degree in Computer Science, Engineering, or a related field. Experience: 3-5 years of relevant experience in DevOps, cloud automation, and application deployment. DevOps Tools: Proficiency with popular DevOps tools and technologies such as Git, Jenkins, Ansible, Terraform, Kubernetes, etc. Cloud Platforms: Strong hands-on experience with at least one major cloud platform (e.g., AWS, Azure, GCP) and familiarity with cloud services such as EC2, S3, VPC, etc. Docker: Solid understanding and practical experience with Docker containerization for application deployment. AI/ML and Models: Familiarity with AI/ML concepts and experience in deploying applications that use pre-trained or custom models will be advantageous. Scripting and Automation: Proficient in scripting languages such as Python, Bash, or Shell for automating tasks. Networking: Knowledge of networking concepts and experience in configuring network endpoints and VPCs. Problem-Solving: Strong analytical and problem-solving skills to diagnose and resolve technical issues. Communication: Excellent communication and collaboration skills to work effectively with cross-functional teams and clients. Cloud Certifications: Relevant cloud certifications (e.g., AWS Certified DevOps Engineer, Azure DevOps Engineer) will be a plus.

Job Description: We are seeking a talented and motivated Software Engineer with expertise in DevOps tools and cloud automation to join our team. As a Software Engineer, you will play a crucial role in automating the IT infrastructure and application deployment processes for AI/ML-based applications utilizing pre-trained and custom models. The primary focus will be on deploying applications on cloud platforms using Docker containers and handling various infrastructure automation tasks, such as configuring VPCs, attaching disks to servers, and setting up network endpoints. Responsibilities: DevOps and Cloud Automation: Implement and maintain automation pipelines for the deployment of AI/ML-based applications on cloud platforms (e.g., AWS, Azure, GCP) using Docker containers. Application Deployment: Collaborate with the development teams to design and execute efficient and reliable application deployment processes. Infrastructure Automation: Automate infrastructure provisioning and configuration tasks, including VPC setup, server configuration, and network endpoint configuration. Containerization: Assist in containerizing applications using Docker, ensuring scalability, portability, and security. Continuous Integration/Continuous Deployment (CI/CD): Implement and enhance CI/CD pipelines to streamline the application deployment process. Monitoring and Logging: Set up monitoring and logging solutions to ensure the smooth functioning of deployed applications and identify performance bottlenecks. Security: Work closely with the security team to implement best practices for securing cloud-based applications and infrastructure. Troubleshooting and Support: Collaborate with cross-functional teams to troubleshoot and resolve any infrastructure or deployment-related issues. Documentation: Maintain detailed documentation of infrastructure and deployment processes, ensuring knowledge sharing and seamless handover. Requirements: Educational Background: Bachelor's degree in Computer Science, Engineering, or a related field. Experience: 3 to 5 years of relevant experience in DevOps, cloud automation, and application deployment. DevOps Tools: Proficiency with popular DevOps tools and technologies such as Git, Jenkins, Ansible, Terraform, Kubernetes, etc. Cloud Platforms: Strong hands-on experience with at least one major cloud platform (e.g., AWS, Azure, GCP) and familiarity with cloud services such as EC2, S3, VPC, etc. Docker: Solid understanding and practical experience with Docker containerization for application deployment. AI/ML and Models: Familiarity with AI/ML concepts and experience in deploying applications that use pre-trained or custom models will be advantageous. Scripting and Automation: Proficient in scripting languages such as Python, Bash, or Shell for automating tasks. Networking: Knowledge of networking concepts and experience in configuring network endpoints and VPCs. Problem-Solving: Strong analytical and problem-solving skills to diagnose and resolve technical issues. Communication: Excellent communication and collaboration skills to work effectively with cross-functional teams and clients. Cloud Certifications: Relevant cloud certifications (e.g., AWS Certified DevOps Engineer, Azure DevOps Engineer) will be a plus. This is a fantastic opportunity to join a dynamic team and work on cutting-edge AI/ML-based applications in a fast-paced and collaborative environment. If you are passionate about DevOps, cloud automation, and AI/ML technologies, and have the drive to deliver high-quality results, we encourage you to apply. Show more Show less

📢 Hiring: Coding Trainer (Offline – Noida) Valiance Solutions is looking for a trainer to conduct offline sessions on Data Structures & Algorithms and Coding Best Practices . Requirements: Strong background in DSA and clean coding principles Alumni from top institutes like IITs, NITs, IITs, BITS, DTU, NSIT, ISI , etc. Prior experience in teaching, mentoring, or training Show more Show less

About the Role: We are looking for a skilled and motivated engineer to join our team in a hybrid role combining responsibilities of both a Cloud Engineer and a DevOps Engineer. This position requires a solid foundation in cloud infrastructure (preferably GCP, AWS, or Azure) as well as hands-on experience in CI/CD pipelines, infrastructure-as-code, and system automation. The ideal candidate is someone who thrives in a fast-paced environment, is comfortable with cross-functional collaboration, and is passionate about operational excellence. Key Responsibilities: Cloud Engineering: Design, deploy, and manage scalable and secure cloud infrastructure. Monitor cloud resource usage, performance, and cost optimization. Implement cloud-native services and automation for provisioning and lifecycle management. Support teams in deploying solutions across cloud platforms (GCP preferred, but AWS/Azure acceptable). DevOps Engineering: Develop and maintain CI/CD pipelines using tools like GitLab CI, Jenkins, or GitHub Actions. Automate configuration management and deployment using tools like Terraform, Ansible, or Helm. Ensure system reliability, availability, and performance through monitoring and alerting (e.g., Prometheus, Grafana, ELK, etc.). Collaborate with development and QA teams to streamline release cycles and reduce deployment friction. Required Skills & Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related field. 3+ years of hands-on experience in cloud infrastructure and DevOps practices. Proficiency in at least one cloud platform (GCP preferred). Experience with infrastructure-as-code (Terraform, CloudFormation). Experience with containerization (Docker) and orchestration (Kubernetes). Proficiency in scripting (Bash, Python, or similar). Strong understanding of networking, firewalls, IAM, and security best practices. Nice to Have: GCP Associate Cloud Engineer or equivalent certification. Exposure to monitoring tools like Stackdriver, Datadog, or New Relic. Experience in managing hybrid or multi-cloud environments. Familiarity with Agile/Scrum practices and DevSecOps principles. Show more Show less

About Valiance Valiance Solutions is a deep-tech company at the forefront of AI, Cloud, and Data Engineering innovations. We work with leading enterprises and public sector organizations to build cutting-edge AI and Gen AI solutions that deliver measurable impact. Role Overview We are looking for a Technical Project Manager (TPM) who can lead and manage cross-functional AI-driven projects involving cloud infrastructure and software engineering. You will interface directly with clients to gather requirements, plan deliverables, and ensure smooth and timely execution. This role requires someone assertive, technically hands-on, and capable of engaging in intelligent discussions around the opportunities—and limitations—of AI, especially Gen AI. Responsibilities Own end-to-end project management for AI/ML initiatives involving cloud deployment and software integration Lead requirement analysis, effort estimation, sprint planning, and delivery execution Serve as the primary point of contact for client communications, project updates, and scope alignment Facilitate technical discussions with internal engineering, data science, and DevOps teams Anticipate risks and dependencies, mitigate blockers, and ensure project timelines are met Evaluate and communicate the realistic potential and limitations of Gen AI solutions Advocate best practices in AI deployment, MLOps, and cloud architecture Manage project documentation, KPIs, and periodic reporting Draft and review technical proposals and solution documents for POCs and full-scale projects Requirements 6–10 years of total experience, with at least 3+ years in managing AI or software engineering projects Prior hands-on coding background (preferably in Python or similar), with strong technical literacy across cloud platforms (GCP, AWS, or Azure) Deep understanding of AI/ML development cycles, including Gen AI and model deployment Strong experience in Agile delivery and tools such as JIRA, Confluence, Git, etc. Exceptional client-facing skills with the ability to push back or advocate as needed Ability to bridge business and technical perspectives for successful project execution Passion for continuous learning and staying current with the latest tech trends Preferred Qualifications Exposure to MLOps or deploying LLM-based solutions at scale Certification in project management (PMP, Scrum Master) or cloud (e.g., GCP Professional) Experience in working with public sector or enterprise clients in India Show more Show less

About Us Valiance is a dynamic, 150-employee organization specializing in advanced analytics, AI, and digital transformation solutions. We are looking for a detail-oriented and analytical Senior Account/Finance Executive to join our team, ensuring financial operations run smoothly while maintaining compliance and fostering a culture of fiscal responsibility. Key Responsibilities Prepare and raise client invoices promptly. Ensure timely follow-ups for invoice payments to maintain healthy cash flow. Process vendor and client payments on time, ensuring accuracy and compliance with terms. Validate employee expenses and manage approvals in alignment with company policies. Track company expenses and ensure they are accurately recorded. Collaborate with the accounts team and Chartered Accountant to ensure compliance with statutory and regulatory requirements. Prepare and share monthly financial reports with the leadership team, highlighting key insights and trends. Track client contracts, monitor expiry dates, and manage renewals and price revisions proactively. Key Skills and Competencies Ability to spot anomalies and inconsistencies in financial data and take corrective action. Ensures all financial transactions and reports are accurate and error-free. Takes initiative in following up on pending tasks, ensuring deadlines are consistently met. Demonstrates a conscientious approach to managing the company’s financial resources. Ability to work collaboratively across teams and effectively communicate financial matters to leadership. Qualifications Bachelor’s degree in Accounting, Finance, or a related field. 5-8 years of experience in finance or accounts roles, preferably in a mid-sized organization. Proficiency in financial software and tools (e.g., Tally, QuickBooks, or equivalent). Strong knowledge of financial regulations, compliance, and reporting standards. Show more Show less

About Valiance Valiance Solutions is a deep-tech AI company that builds and deploys cutting-edge solutions in Generative AI, Computer Vision, and Cloud for enterprises and public sector organizations. Our work spans product innovation, solution engineering, and real-world deployment at scale. Role Overview We’re looking for a hands-on AI Product Manager to lead development across our portfolio of AI-powered products. You’ll work closely with engineering, design, and customers to deliver impactful features, continuously refine the product, and ensure we ship high-quality releases. If you're someone who thrives in fast-paced, ambiguous environments and takes full ownership, we’d love to talk. Key Responsibilities Define and ship new features across our Gen AI and Computer Vision product portfolio Improve existing features based on product metrics, customer feedback, and internal QA Track and optimize product performance and user experience using clearly defined metrics Create clear functional specifications and UI mockups for engineering and design teams Collaborate with engineering to plan and execute on feature delivery timelines Work directly with customers to gather feedback, run pilots, and refine product capabilities Actively participate in QA cycles and drive high-quality product releases Communicate product vision and priorities across stakeholders Use AI tools in your workflow to boost productivity, ideation, and delivery What We’re Looking For 6–8 years of total experience, with at least 3+ years managing AI-powered products Proven experience in shipping features with cross-functional engineering, QA, and design teams You understand how the code works—even if you don’t write it anymore Prior hands-on coding experience is preferred (Python, cloud, or AI tooling) Strong customer orientation—you're energized by conversations that help improve the product Experience working on enterprise-grade platforms or B2B SaaS products Comfortable navigating ambiguity and turning it into a clear product roadmap Excellent planning, execution, and stakeholder management skills Bias for action and accountability in driving outcomes Open to travel for on-site customer visits and deployment reviews Passion for AI and an “AI-first” mindset in how you work and build Why Valiance? Join us to build the future of enterprise AI. At Valiance, you’ll work at the intersection of innovation and impact—shaping products that solve real-world problems using cutting-edge AI. Show more Show less

About the Role: We are looking for a skilled Full Stack Engineer with expertise in React, Python, SQL/NoSQL, and (AWS/GCP/Azure) to join our engineering team. The ideal candidate will have a strong background in building scalable web applications and cloud-based solutions. This role requires end-to-end development capabilities, from frontend UI implementation to backend APIs and database management. Key Responsibilities: Design, develop, and maintain full-stack applications using React, Python, and SQL/No-SQL DB's . Develop RESTful APIs and integrate third-party services. Build responsive and user-friendly web interfaces using React.js . Implement backend logic and business processes using Python (Django or Flask preferred). Design and optimize relational databases using SQL (PostgreSQL, MySQL, or similar). Deploy, manage, and scale applications on AWS/Azure/GCP . Ensure application security, performance, and maintainability. Work with DevOps teams for CI/CD, logging, and monitoring. Collaborate with designers, product managers, and other engineers to deliver high-quality software. Troubleshoot, debug, and optimize code for performance. Requirements: 4+ years of experience in full-stack development. Strong proficiency in React.js for frontend development. Expertise in Python (Django/Flask/FastAPI) for backend development. Hands-on experience with SQL databases (PostgreSQL, MySQL, or similar). Experience with AWS/GCP/Azure Knowledge of RESTful APIs, microservices architecture, and authentication mechanisms. Familiarity with version control tools (Git/GitHub/GitLab). Strong understanding of software development best practices, testing, and deployment. Experience with containerization (Docker, Kubernetes) is a plus. Strong problem-solving skills and ability to work in an agile environment. Preferred Skills: Knowledge of GraphQL and WebSockets. Experience with NoSQL databases (MongoDB, DynamoDB). Exposure to serverless architecture and event-driven programming. Understanding of CI/CD pipelines and infrastructure as code (Terraform, CloudFormation). Strong communication and collaboration skills.

About the Role: We are seeking an experienced MLOps Engineer to lead the deployment, scaling, and performance optimization of open-source Generative AI models on cloud infrastructure. You’ll work at the intersection of machine learning, DevOps, and cloud engineering to help productize and operationalize large-scale LLM and diffusion models. Key Responsibilities: Design and implement scalable deployment pipelines for open-source Gen AI models (LLMs, diffusion models, etc.). Fine-tune and optimize models using techniques like LoRA, quantization, distillation, etc. Manage inference workloads, latency optimization, and GPU utilization. Build CI/CD pipelines for model training, validation, and deployment. Integrate observability, logging, and alerting for model and infrastructure monitoring. Automate resource provisioning using Terraform, Helm, or similar tools on GCP/AWS/Azure. Ensure model versioning, reproducibility, and rollback using tools like MLflow, DVC, or Weights & Biases. Collaborate with data scientists, backend engineers, and DevOps teams to ensure smooth production rollouts. Required Skills & Qualifications: 5+ years of total experience in software engineering or cloud infrastructure. 3+ years in MLOps with direct experience in deploying large Gen AI models. Hands-on experience with open-source models (e.g., LLaMA, Mistral, Stable Diffusion, Falcon, etc.). Strong knowledge of Docker, Kubernetes, and cloud compute orchestration. Proficiency in Python and familiarity with model-serving frameworks (e.g., FastAPI, Triton Inference Server, Hugging Face Accelerate, vLLM). Experience with cloud platforms (GCP preferred, AWS or Azure acceptable). Familiarity with distributed training, checkpointing, and model parallelism. Good to Have: Experience with low-latency inference systems and token streaming architectures. Familiarity with cost optimization and scaling strategies for GPU-based workloads. Exposure to LLMOps tools (LangChain, BentoML, Ray Serve, etc.). Why Join Us: Opportunity to work on cutting-edge Gen AI applications across industries. Collaborative team with deep expertise in AI, cloud, and enterprise software. Flexible work environment with a focus on innovation and impact.

About Us: At Valiance, we empower businesses with AI-driven insights and data analytics solutions. Specializing in demand forecasting within retail Industry very specific to Apparel and Footwear domains, we leverage standardized ML models to deliver accurate forecasting outcomes to our clients. We are looking for a skilled Data Scientist who can interpret and improve these models to drive real-world business results. Role Overview: The Data Scientist will be responsible for applying our pre-trained demand forecasting models to generate actionable insights and highly accurate forecasting outcomes. This role involves thorough data analysis, identifying trends and anomalies, interpreting results, and communicating findings effectively to a non-technical business audience. The ideal candidate is less focused on creating algorithms and more oriented towards solving business challenges and providing insights that make a tangible impact. Key Responsibilities: Data Analysis: Conduct in-depth data analysis to identify trends, patterns, and anomalies in demand/Timeseries forecasting for Retail Industry very specific to Apparel and Footwear (must have) Model Utilization: Leverage existing pre-trained forecasting models, optimizing their performance by incorporating a nuanced understanding of data points and improving model outcomes based on data insights. Interpretation & Communication: Interpret model results and explain outcomes in simple, actionable terms for business stakeholders, ensuring clarity and relevance. Insights Generation: Develop insights that guide business decisions, aiming for highly accurate forecasting outcomes to meet business requirements. Collaboration: Work closely with cross-functional teams, including business stakeholders and analysts, to ensure forecasting outputs align with business objectives and provide real-world value. Continuous Improvement: Identify opportunities to improve model performance through better data usage and fine-tuning, rather than new model development. Required Skills & Qualifications: Experience: 3-6 years of experience in data science or a related field, specifically in Demand/Timeseries forecasting for Retail Industry very specific to Apparel and Footwear (must have) Technical Proficiency: Strong skills in data analysis, data visualization, and working with pre-trained ML models. Proficiency in Python, and SQL is preferred. Business Focus: Strong orientation towards solving business problems rather than a pure focus on machine learning algorithms. Communication Skills: Ability to clearly communicate insights and forecast results to non-technical stakeholders in simple, understandable language. Problem Solving: Demonstrated ability to interpret data, uncover actionable insights, and suggest practical solutions for business needs. Detail-Oriented: Thorough attention to detail, ensuring accuracy in forecasting and relevance of insights. Educational Background: Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field.

You will be part of a mission-driven team in the finance industry, focused on driving financial inclusion for underserved individuals across credit, savings, and financial needs. Your role will involve leveraging cutting-edge credit/fraud strategy in a Big Data environment, delivering projects independently, and innovating digital lending products through new customer segments and data sources. Your responsibilities will include building credit strategies, tracking Portfolio MIS, maintaining collection MIS, and collaborating with product and customer success teams for testing and implementation. You should have a process-oriented mindset to maximize operational efficiency, stakeholder management skills, and a willingness to adapt to the dynamic needs of a startup environment. To succeed in this role, you should have 1-3 years of relevant experience, strong analytical skills, proficiency in SQL/Pyspark SQL, hands-on experience in data cleaning and feature creation using Python/Pyspark, and a strong entrepreneurial drive. If you are passionate about analytics, thrive in a fast-paced environment, and are eager to make a meaningful impact in financial inclusion, we welcome you to join our team.,