Clearing & Settlement Associate

Key Responsibilities

1. Data Management & Reporting

• Collect, clean, validate, and consolidate data from multiple internal and external sources.

• Prepare and deliver daily, weekly, and monthly MIS reports for management and departments.

• Design, develop, and maintain dashboards to track KPIs, performance metrics, and operational trends.

2. Database & Data Accuracy Management

• Manage and regularly update internal databases, spreadsheets, and reporting systems.

• Ensure data accuracy, consistency, integrity, and confidentiality across all platforms.

• Implement best practices for data validation, version control, and audit checks.

3. Data Analysis & Business Insights

• Analyze large and complex datasets to identify trends, patterns, gaps, and anomalies.

• Translate data findings into clear, actionable insights and recommendations to support strategic and operational decision-making.

4. Reporting Automation, System Recommendation & Implementation

• Identify opportunities to replace manual or semi-manual processes with automated, data-driven systems.

• Design and implement automated reporting frameworks, dashboards, and data pipelines using Excel (Power Query, VBA, Macros), SQL, BI tools, and Python.

• Proactively suggest new automation tools, system enhancements, or integrations to improve efficiency, accuracy, and scalability.

• Lead the end-to-end implementation of approved automation initiatives, including requirement gathering, system design, testing, deployment, and stabilization.

• Continuously monitor and optimize automated systems in line with business growth and evolving data needs.

5. Cross-Functional Coordination & Support

• Collaborate with Sales, HR, Finance, Operations, and other departments to understand reporting and data requirements.

• Provide support for ad-hoc analysis, custom reports, and special data requests.

• Act as a data partner to department heads for decision support and performance tracking.

6. Documentation & Compliance

• Maintain complete and updated documentation for MIS processes, reports, data models, automation logic, and system changes.

• Ensure compliance with company data governance policies and applicable data protection standards.

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System Development & Data Structuring Responsibilities

• Study and understand departmental workflows to evaluate how data is generated, processed, and utilized.

• Review existing manual and digital data systems to identify operational gaps, risks, and improvement opportunities.

• Recommend structured data models, reporting formats, and storage solutions aligned with business requirements.

• Coordinate with department heads to define data structures, access levels, and reporting standards.

• Implement new or upgraded data systems (Excel-based models, cloud platforms, ERP integrations) with minimal operational disruption.

• Design structured data formats and role-based access controls to ensure secure and organized data management.

• Train employees on newly implemented systems and provide post-implementation support.

• Monitor system performance, resolve issues, and continuously improve systems based on user feedback and organizational growth.

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Qualifications & Experience

• Bachelor’s degree in Commerce, Statistics, Computer Applications, or a related field.

• 3–5 years of experience in data analytics, reporting, or system automation roles.

• Strong analytical thinking, logical reasoning, and problem-solving abilities.

• High attention to detail with excellent organizational and documentation skills.

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Technical Skills (Must Have)

• Advanced Excel: Power Query, Power Pivot, VBA basics, Macros, Charts

• SQL: Complex joins, subqueries, CTEs, performance tuning

• Python or R: Data cleaning, analysis, automation (Pandas, NumPy, etc.)

• BI Tools: Power BI or Tableau (DAX, data modeling, dashboard optimization)

• Data Warehousing Concepts: ETL processes, OLAP, Star/Snowflake schema

& Qualifications

·   Experience: Experience in Oracle ERP Support (Cloud/EBS) and IT Service Delivery Management.

·   Technical Knowledge: Understanding of Oracle ERP modules (e.g., Financials, HCM, SCM).

·   Leadership: Small to Medium (15-40) Team management and development skills

·   Communication: Good client-facing, negotiation, and communication skills.

Key Responsibilities:

·   Service Delivery Management: Manage end-to-end support operations, ensuring compliance with Service Level Agreements (SLAs) and Key Performance Indicators (KPIs).

·   Lead incidents, problems, and change management processes, including supporting patches and new releases. Develop service dashboards, monitor performance metrics, and ensure adherence to compliance and risk management.

·   Identify opportunities for automation and process optimization within ERP operations. 

About Us

We are a fast-growing startup based in Pune, India, specializing in cutting-edge Data Science and Data Engineering solutions. Our team of dedicated professionals is committed to solving complex data challenges for companies worldwide.

Our Culture We foster a vibrant startup culture that values: • Intellectual curiosity • Continuous learning • Positive work environment • Collaborative problem-solving

Role Overview

We are seeking a versatile and proactive Data Scientist to join our dynamic team. The ideal candidate will possess a blend of technical expertise in modern AI/ML technologies, strategic planning, and effective communication skills. This role demands critical thinking, applying data science and problem-solving skills to a wide variety of real-world problems, adaptability to rapidly evolving technologies, and a strong foundation in both traditional and generative AI principles.

Key Responsibilities • Deliver end-to-end data science projects by applying Machine Learning and Deep Learning fundamentals to solve complex problems • Derive actionable insights for a variety of problems, industries, and domains using statistical analysis and advanced data science techniques • Develop high-quality software solutions with Python and other programming languages. Collaborate with developers to understand and improve existing code or create new solutions • Build and deploy production-ready LLM applications using modern frameworks and best practices • Design and implement RAG (Retrieval-Augmented Generation) architectures using vector databases and embedding models • Perform prompt engineering and optimization to maximize LLM performance for specific use cases • Implement agentic AI systems and multi-agent workflows for complex automation tasks • Evaluate and benchmark LLM outputs using appropriate metrics and testing frameworks • Build sophisticated data pipelines for large-scale data processing using modern orchestration tools • Optimize database performance and create efficient SQL queries • Deploy and monitor ML models in production using MLOps practices and containerization • Practice active listening to understand project requirements and team inputs • Collaborate with clients to translate business requirements into data science solutions • Communicate complex ideas and results clearly to stakeholders through both verbal and written formats • Apply responsible AI principles and ensure ethical considerations in model development • Demonstrate punctuality and a strong sense of ownership in all tasks • Plan strategically and multitask efficiently to meet project deadlines • Employ critical thinking to break down problems and debug effectively • Take initiative and be biased towards action to drive project progress Required Skills Core Programming & ML • Strong Python programming skills with hands-on project experience • Expertise in Machine Learning and Deep Learning algorithms (Random Forests, GBMs, Neural Networks, CNNs, RNNs, Transformers, Ensemble methods) • Proficiency in TensorFlow or PyTorch, along with scikit-learn and pandas • Familiarity with modern ML techniques: Transfer Learning, Few-shot Learning, Self-supervised Learning • Experience with NLP, Computer Vision, or Time Series Analysis Generative AI & LLMs • Hands-on experience with LLM providers (OpenAI, Anthropic Claude, Google Gemini, or open-source models) • Proficiency with GenAI orchestration frameworks (LangChain, LangGraph, LlamaIndex, or DSPy) • Experience building RAG applications with vector databases (Pinecone, Weaviate, Chroma, FAISS) • Strong prompt engineering skills and understanding of prompt optimization techniques • Knowledge of fine-tuning techniques (LoRA, QLoRA) and when to apply them • Understanding of LLM evaluation metrics and benchmarking methodologies • Familiarity with agentic AI architectures and multi-agent systems MLOps & Deployment • Experience with MLOps practices and tools (MLflow, Kubeflow, Weights & Biases) • Proficiency with containerization using Docker and orchestration with Kubernetes • Experience with cloud platforms (AWS, Azure, or GCP) for ML model deployment and monitoring • Understanding of CI/CD pipelines for ML applications • Knowledge of model serving frameworks and API development (FastAPI, Flask, or Django) Data Engineering & Databases • Solid understanding of SQL, including advanced concepts like windowing functions and query optimization • Experience with data pipeline orchestration tools (Airflow, Prefect, or similar) • Familiarity with both SQL and NoSQL databases Soft Skills & Professional Attributes • Strong critical thinking and problem-solving skills • Excellent written and verbal communication abilities • Demonstrated ability to work well in a team and independently • High degree of flexibility and adaptability to rapidly evolving technologies • Understanding of AI safety principles and responsible AI practices

Nice-to-Have • Experience with big data technologies (Spark, Hadoop, Databricks) • Familiarity with BI tools and dashboard creation (Tableau, Power BI, Looker) • Knowledge of graph databases and knowledge graph construction • Experience with real-time streaming data processing • Active participation in data science competitions (Kaggle, DrivenData) • Contributions to open-source AI/ML projects or technical blog • Experience with multimodal AI models (vision-language models, audio processing) • Published research papers or conference presentations

Qualifications • Data Scientist I: 0-2 years of hands-on experience in Data Science projects • Data Scientist II: 2-5 years of hands-on experience in Data Science projects • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related technical field • Demonstrated commitment to continuous learning through courses, certifications, or self-study (especially in GenAI and modern ML techniques)

What We Offer • Competitive salary commensurate with experience • Opportunity to work on diverse, cutting-edge AI/ML projects • Collaborative and innovation-driven work environment • Rapid growth and continuous learning opportunities • Exposure to latest AI technologies and industry best practices

Link for application -  https://forms.gle/9GENVfPeXdtgi7Zj7

Solid Fundamentals and exceptional problem-solving skills

Solid and fluent understanding of algorithm and data structures

Proficiency in Scala + Spark

Experience Range: 3 to 7 Years

Requirement Some or all of them – because we believe intelligent people can pick up whatever they need in a short period of time. You just need to prove that you can:

Excellent programming skills and knowledge of Java / Scala

Excellent software design, problem solving and debugging skills

Experience with modern Big data technologies such as Spark, NoSQL, Cassandra, Kafka, Map Reduce, Hadoop ecosystem is a must have

Experience with data analytics and ability to mine data to obtain insights is much appreciated

We are looking for very hands-on DevOps engineers with 3 to 6 years of experience. The person will be part of a team that is responsible for designing & implementing automation from scratch for medium to large scale cloud infrastructure and providing 24x7 services to our North American / European customers. This also includes ensuring ~100% uptime for almost 50+ internal sites. The person is expected to deliver with both high speed and high quality as well as work for 40 hours per week (~6.5 hours per day, 6 days per week) in shifts that will rotate every month.

This person MUST have:

• B.E Computer Science or equivalent

• 2+ Years of hands-on experience troubleshooting/setting up of the Linux environment, who can write shell scripts for any given requirement.

• 1+ Years of hands-on experience setting up/configuring AWS or GCP services from SCRATCH and maintaining them.

• 1+ Years of hands-on experience setting up/configuring Kubernetes & EKS and ensuring high availability of container orchestration.

• 1+ Years of hands-on experience setting up CICD from SCRATCH in Jenkins & Gitlab.

• Experience configuring/maintaining one monitoring tool.

• Excellent verbal & written communication skills.

• Candidates with certifications - AWS, GCP, CKA, etc will be preferred

• Hands-on experience with databases (Cassandra, MongoDB, MySQL, RDS).

Experience:

• Min 3 years of experience as DevOps automation engineer buildingg, running, and maintaining production sites.

• Not looking for candidates who have experience only as L1/L2 or Build & Deploy.
  
  

Location: Remotely, anywhere in India.

Timings:

• The person is expected to deliver with both high speed and high quality as well as work for 40 hours per week (~6.5 hours per day, 6 days per week) in shifts that will rotate every month.
  
  

Position:

• Full time/Direct

• We have great benefits such as PF, medical insurance, 12 annual company holidays, 12 PTO leaves per year, annual increments, Diwali bonus, spot bonuses and other incentives etc.

• We dont believe in locking in people with large notice periods.  You will stay here because you love the company.  We have only a 15 days notice period.

Skills Required:

• 7+ years of experience as software engineer.
• Experience in Dot.Net technologies - Asp.Net MVC, WebAPI, .NetCore
• Experience in ORM like Entity Framework /Dapper
• Experience with Object-Oriented Design and SOLID principles
• Experience with Unit Testing, Mocking and Dependency Injection frameworks
• Experience with SQL Server, NoSQL or other database technology
• Experience with software quality, testing procedures and build automation tools
• Knowledge of the Principles & Patterns of Agile Software
• Ability to understand and troubleshoot existing code and maintain existing systems.
• Ability to identity performance bottlenecks.
• Experience working with version control tools such as GIT and CI/CD tools.

Responsibilities:

• Execute full lifecycle software development
• Develop, designed well efficient code
• Integrate software components into a fully functional software system
• Fully adaptive to the technology needed for the current project

Requirements:

• Bachelor/ Master degree from good college.
• Strong knowledge of algorithms, data structure
• Understanding object-oriented programming
• Excellent knowledge of PHP, Mysql, SQL. NoSQL, Mongodb
• Ability & Readiness to work with any technology
• Familiarity with software development methodology and release processes.
• Strong problem-solving skills and excellent communication skills.
• He/she should have minimum 3 years working experience on PHP, PHP Frameworks, Ajax, Knowledge on CMS platform like Opencart, payment gateway integration, experience working on portals.