239 Data Handling Jobs - Page 6

ETL / Data Analysis + AWS / Azure Immediate Joiner 5+ years Work From Home Contract to Hire Azure/AWS Spark Terraform Python SQL ETL / Data Pipelines Large Data Handling Data Validation/Transformation Annual bonus Provident fund Health insurance

Qcentrio is looking for a highly skilled and self-managed Quality Assurance Automation Engineer with 6 to 8 years of experience to join our dynamic team. The ideal candidate will have a proven track record of building and scaling automation frameworks using Python. This role requires in-depth knowledge of leading automation testing tools, proficiency in database interactions, and a strong understanding of CI/CD principles. You will play a crucial role in ensuring the quality and reliability of our software solutions, working within an Agile methodology to deliver exceptional results. Responsibilities Test Planning & Design: Develop and document comprehensive application test plans and test cases based on software requirements and technical specifications. Agile Methodology: Evaluate requirements and define testing objectives and approaches while actively working within an Agile methodology. Communication & Reporting: Provide effective communication regarding issues, testing status, and potential risks to relevant stakeholders. Environment Management: Manage and maintain QA environments, including handling builds and deployments. Automation Solution Development: Design and develop robust test automation solutions using industry-leading tools and frameworks such as Cucumber/Behave/BDD, Selenium, PyTest, and Playwright, choosing technologies best suited for the application's requirements. Automation Execution & Maintenance: Automate and execute test scenarios, and run regression suites for both existing and new solutions. Transparency & Metrics: Provide transparency through well-defined metrics, automation testing results, and reporting. Technical Contributions: Utilize hands-on experience with Object-Oriented Programming (OOP) in Python, including advanced Python concepts and framework design. Data Handling: Leverage experience with Python open-source libraries like Pandas and NumPy, and possess knowledge of visualization tools. Database Proficiency: Demonstrate proficiency in database interactions with SQL Server or PostgreSQL. CI/CD Integration: Apply strong understanding of continuous integration and continuous delivery tools and techniques. Collaboration: Collaborate effectively as an individual contributor or as a team member as needed. Basic Qualifications Bachelor's degree in Computer Science, Information Systems, or Engineering is required, or in lieu, a demonstrated equivalence in work experience. 6 to 8 years of overall QA Automation experience in software testing activities, with significant focus on automation using Python. Minimum 3+ years of hands-on experience in building and scaling automation frameworks. Excellent communication and interpersonal skills are essential, with strong verbal and writing proficiencies.

Qcentrio is looking for a highly skilled and self-managed Quality Assurance Automation Engineer with 6 to 8 years of experience to join our dynamic team. The ideal candidate will have a proven track record of building and scaling automation frameworks using Python. This role requires in-depth knowledge of leading automation testing tools, proficiency in database interactions, and a strong understanding of CI/CD principles. You will play a crucial role in ensuring the quality and reliability of our software solutions, working within an Agile methodology to deliver exceptional results. Responsibilities Test Planning & Design: Develop and document comprehensive application test plans and test cases based on software requirements and technical specifications. Agile Methodology: Evaluate requirements and define testing objectives and approaches while actively working within an Agile methodology. Communication & Reporting: Provide effective communication regarding issues, testing status, and potential risks to relevant stakeholders. Environment Management: Manage and maintain QA environments, including handling builds and deployments. Automation Solution Development: Design and develop robust test automation solutions using industry-leading tools and frameworks such as Cucumber/Behave/BDD, Selenium, PyTest, and Playwright, choosing technologies best suited for the application's requirements. Automation Execution & Maintenance: Automate and execute test scenarios, and run regression suites for both existing and new solutions. Transparency & Metrics: Provide transparency through well-defined metrics, automation testing results, and reporting. Technical Contributions: Utilize hands-on experience with Object-Oriented Programming (OOP) in Python, including advanced Python concepts and framework design. Data Handling: Leverage experience with Python open-source libraries like Pandas and NumPy, and possess knowledge of visualization tools. Database Proficiency: Demonstrate proficiency in database interactions with SQL Server or PostgreSQL. CI/CD Integration: Apply strong understanding of continuous integration and continuous delivery tools and techniques. Collaboration: Collaborate effectively as an individual contributor or as a team member as needed. Basic Qualifications Bachelor's degree in Computer Science, Information Systems, or Engineering is required, or in lieu, a demonstrated equivalence in work experience. 6 to 8 years of overall QA Automation experience in software testing activities, with significant focus on automation using Python. Minimum 3+ years of hands-on experience in building and scaling automation frameworks. Excellent communication and interpersonal skills are essential, with strong verbal and writing proficiencies.

Qcentrio is looking for a highly skilled and self-managed Quality Assurance Automation Engineer with 6 to 8 years of experience to join our dynamic team. The ideal candidate will have a proven track record of building and scaling automation frameworks using Python. This role requires in-depth knowledge of leading automation testing tools, proficiency in database interactions, and a strong understanding of CI/CD principles. You will play a crucial role in ensuring the quality and reliability of our software solutions, working within an Agile methodology to deliver exceptional results. Responsibilities Test Planning & Design: Develop and document comprehensive application test plans and test cases based on software requirements and technical specifications. Agile Methodology: Evaluate requirements and define testing objectives and approaches while actively working within an Agile methodology. Communication & Reporting: Provide effective communication regarding issues, testing status, and potential risks to relevant stakeholders. Environment Management: Manage and maintain QA environments, including handling builds and deployments. Automation Solution Development: Design and develop robust test automation solutions using industry-leading tools and frameworks such as Cucumber/Behave/BDD, Selenium, PyTest, and Playwright, choosing technologies best suited for the application's requirements. Automation Execution & Maintenance: Automate and execute test scenarios, and run regression suites for both existing and new solutions. Transparency & Metrics: Provide transparency through well-defined metrics, automation testing results, and reporting. Technical Contributions: Utilize hands-on experience with Object-Oriented Programming (OOP) in Python, including advanced Python concepts and framework design. Data Handling: Leverage experience with Python open-source libraries like Pandas and NumPy, and possess knowledge of visualization tools. Database Proficiency: Demonstrate proficiency in database interactions with SQL Server or PostgreSQL. CI/CD Integration: Apply strong understanding of continuous integration and continuous delivery tools and techniques. Collaboration: Collaborate effectively as an individual contributor or as a team member as needed. Basic Qualifications Bachelor's degree in Computer Science, Information Systems, or Engineering is required, or in lieu, a demonstrated equivalence in work experience. 6 to 8 years of overall QA Automation experience in software testing activities, with significant focus on automation using Python. Minimum 3+ years of hands-on experience in building and scaling automation frameworks. Excellent communication and interpersonal skills are essential, with strong verbal and writing proficiencies.

Qcentrio is looking for a highly skilled and self-managed Quality Assurance Automation Engineer with 6 to 8 years of experience to join our dynamic team. The ideal candidate will have a proven track record of building and scaling automation frameworks using Python. This role requires in-depth knowledge of leading automation testing tools, proficiency in database interactions, and a strong understanding of CI/CD principles. You will play a crucial role in ensuring the quality and reliability of our software solutions, working within an Agile methodology to deliver exceptional results. Responsibilities Test Planning & Design: Develop and document comprehensive application test plans and test cases based on software requirements and technical specifications. Agile Methodology: Evaluate requirements and define testing objectives and approaches while actively working within an Agile methodology. Communication & Reporting: Provide effective communication regarding issues, testing status, and potential risks to relevant stakeholders. Environment Management: Manage and maintain QA environments, including handling builds and deployments. Automation Solution Development: Design and develop robust test automation solutions using industry-leading tools and frameworks such as Cucumber/Behave/BDD, Selenium, PyTest, and Playwright, choosing technologies best suited for the application's requirements. Automation Execution & Maintenance: Automate and execute test scenarios, and run regression suites for both existing and new solutions. Transparency & Metrics: Provide transparency through well-defined metrics, automation testing results, and reporting. Technical Contributions: Utilize hands-on experience with Object-Oriented Programming (OOP) in Python, including advanced Python concepts and framework design. Data Handling: Leverage experience with Python open-source libraries like Pandas and NumPy, and possess knowledge of visualization tools. Database Proficiency: Demonstrate proficiency in database interactions with SQL Server or PostgreSQL. CI/CD Integration: Apply strong understanding of continuous integration and continuous delivery tools and techniques. Collaboration: Collaborate effectively as an individual contributor or as a team member as needed. Basic Qualifications Bachelor's degree in Computer Science, Information Systems, or Engineering is required, or in lieu, a demonstrated equivalence in work experience. 6 to 8 years of overall QA Automation experience in software testing activities, with significant focus on automation using Python. Minimum 3+ years of hands-on experience in building and scaling automation frameworks. Excellent communication and interpersonal skills are essential, with strong verbal and writing proficiencies.

Qcentrio is looking for a highly skilled and self-managed Quality Assurance Automation Engineer with 6 to 8 years of experience to join our dynamic team. The ideal candidate will have a proven track record of building and scaling automation frameworks using Python. This role requires in-depth knowledge of leading automation testing tools, proficiency in database interactions, and a strong understanding of CI/CD principles. You will play a crucial role in ensuring the quality and reliability of our software solutions, working within an Agile methodology to deliver exceptional results. Responsibilities Test Planning & Design: Develop and document comprehensive application test plans and test cases based on software requirements and technical specifications. Agile Methodology: Evaluate requirements and define testing objectives and approaches while actively working within an Agile methodology. Communication & Reporting: Provide effective communication regarding issues, testing status, and potential risks to relevant stakeholders. Environment Management: Manage and maintain QA environments, including handling builds and deployments. Automation Solution Development: Design and develop robust test automation solutions using industry-leading tools and frameworks such as Cucumber/Behave/BDD, Selenium, PyTest, and Playwright, choosing technologies best suited for the application's requirements. Automation Execution & Maintenance: Automate and execute test scenarios, and run regression suites for both existing and new solutions. Transparency & Metrics: Provide transparency through well-defined metrics, automation testing results, and reporting. Technical Contributions: Utilize hands-on experience with Object-Oriented Programming (OOP) in Python, including advanced Python concepts and framework design. Data Handling: Leverage experience with Python open-source libraries like Pandas and NumPy, and possess knowledge of visualization tools. Database Proficiency: Demonstrate proficiency in database interactions with SQL Server or PostgreSQL. CI/CD Integration: Apply strong understanding of continuous integration and continuous delivery tools and techniques. Collaboration: Collaborate effectively as an individual contributor or as a team member as needed. Basic Qualifications Bachelor's degree in Computer Science, Information Systems, or Engineering is required, or in lieu, a demonstrated equivalence in work experience. 6 to 8 years of overall QA Automation experience in software testing activities, with significant focus on automation using Python. Minimum 3+ years of hands-on experience in building and scaling automation frameworks. Excellent communication and interpersonal skills are essential, with strong verbal and writing proficiencies.

Qcentrio is looking for a highly skilled and self-managed Quality Assurance Automation Engineer with 6 to 8 years of experience to join our dynamic team. The ideal candidate will have a proven track record of building and scaling automation frameworks using Python. This role requires in-depth knowledge of leading automation testing tools, proficiency in database interactions, and a strong understanding of CI/CD principles. You will play a crucial role in ensuring the quality and reliability of our software solutions, working within an Agile methodology to deliver exceptional results. Responsibilities Test Planning & Design: Develop and document comprehensive application test plans and test cases based on software requirements and technical specifications. Agile Methodology: Evaluate requirements and define testing objectives and approaches while actively working within an Agile methodology. Communication & Reporting: Provide effective communication regarding issues, testing status, and potential risks to relevant stakeholders. Environment Management: Manage and maintain QA environments, including handling builds and deployments. Automation Solution Development: Design and develop robust test automation solutions using industry-leading tools and frameworks such as Cucumber/Behave/BDD, Selenium, PyTest, and Playwright, choosing technologies best suited for the application's requirements. Automation Execution & Maintenance: Automate and execute test scenarios, and run regression suites for both existing and new solutions. Transparency & Metrics: Provide transparency through well-defined metrics, automation testing results, and reporting. Technical Contributions: Utilize hands-on experience with Object-Oriented Programming (OOP) in Python, including advanced Python concepts and framework design. Data Handling: Leverage experience with Python open-source libraries like Pandas and NumPy, and possess knowledge of visualization tools. Database Proficiency: Demonstrate proficiency in database interactions with SQL Server or PostgreSQL. CI/CD Integration: Apply strong understanding of continuous integration and continuous delivery tools and techniques. Collaboration: Collaborate effectively as an individual contributor or as a team member as needed. Basic Qualifications Bachelor's degree in Computer Science, Information Systems, or Engineering is required, or in lieu, a demonstrated equivalence in work experience. 6 to 8 years of overall QA Automation experience in software testing activities, with significant focus on automation using Python. Minimum 3+ years of hands-on experience in building and scaling automation frameworks. Excellent communication and interpersonal skills are essential, with strong verbal and writing proficiencies.

Qcentrio is looking for a highly skilled and self-managed Quality Assurance Automation Engineer with 6 to 8 years of experience to join our dynamic team. The ideal candidate will have a proven track record of building and scaling automation frameworks using Python. This role requires in-depth knowledge of leading automation testing tools, proficiency in database interactions, and a strong understanding of CI/CD principles. You will play a crucial role in ensuring the quality and reliability of our software solutions, working within an Agile methodology to deliver exceptional results. Responsibilities Test Planning & Design: Develop and document comprehensive application test plans and test cases based on software requirements and technical specifications. Agile Methodology: Evaluate requirements and define testing objectives and approaches while actively working within an Agile methodology. Communication & Reporting: Provide effective communication regarding issues, testing status, and potential risks to relevant stakeholders. Environment Management: Manage and maintain QA environments, including handling builds and deployments. Automation Solution Development: Design and develop robust test automation solutions using industry-leading tools and frameworks such as Cucumber/Behave/BDD, Selenium, PyTest, and Playwright, choosing technologies best suited for the application's requirements. Automation Execution & Maintenance: Automate and execute test scenarios, and run regression suites for both existing and new solutions. Transparency & Metrics: Provide transparency through well-defined metrics, automation testing results, and reporting. Technical Contributions: Utilize hands-on experience with Object-Oriented Programming (OOP) in Python, including advanced Python concepts and framework design. Data Handling: Leverage experience with Python open-source libraries like Pandas and NumPy, and possess knowledge of visualization tools. Database Proficiency: Demonstrate proficiency in database interactions with SQL Server or PostgreSQL. CI/CD Integration: Apply strong understanding of continuous integration and continuous delivery tools and techniques. Collaboration: Collaborate effectively as an individual contributor or as a team member as needed. Basic Qualifications Bachelor's degree in Computer Science, Information Systems, or Engineering is required, or in lieu, a demonstrated equivalence in work experience. 6 to 8 years of overall QA Automation experience in software testing activities, with significant focus on automation using Python. Minimum 3+ years of hands-on experience in building and scaling automation frameworks. Excellent communication and interpersonal skills are essential, with strong verbal and writing proficiencies.

Qcentrio is looking for a highly skilled and self-managed Quality Assurance Automation Engineer with 6 to 8 years of experience to join our dynamic team. The ideal candidate will have a proven track record of building and scaling automation frameworks using Python. This role requires in-depth knowledge of leading automation testing tools, proficiency in database interactions, and a strong understanding of CI/CD principles. You will play a crucial role in ensuring the quality and reliability of our software solutions, working within an Agile methodology to deliver exceptional results. Responsibilities Test Planning & Design: Develop and document comprehensive application test plans and test cases based on software requirements and technical specifications. Agile Methodology: Evaluate requirements and define testing objectives and approaches while actively working within an Agile methodology. Communication & Reporting: Provide effective communication regarding issues, testing status, and potential risks to relevant stakeholders. Environment Management: Manage and maintain QA environments, including handling builds and deployments. Automation Solution Development: Design and develop robust test automation solutions using industry-leading tools and frameworks such as Cucumber/Behave/BDD, Selenium, PyTest, and Playwright, choosing technologies best suited for the application's requirements. Automation Execution & Maintenance: Automate and execute test scenarios, and run regression suites for both existing and new solutions. Transparency & Metrics: Provide transparency through well-defined metrics, automation testing results, and reporting. Technical Contributions: Utilize hands-on experience with Object-Oriented Programming (OOP) in Python, including advanced Python concepts and framework design. Data Handling: Leverage experience with Python open-source libraries like Pandas and NumPy, and possess knowledge of visualization tools. Database Proficiency: Demonstrate proficiency in database interactions with SQL Server or PostgreSQL. CI/CD Integration: Apply strong understanding of continuous integration and continuous delivery tools and techniques. Collaboration: Collaborate effectively as an individual contributor or as a team member as needed. Basic Qualifications Bachelor's degree in Computer Science, Information Systems, or Engineering is required, or in lieu, a demonstrated equivalence in work experience. 6 to 8 years of overall QA Automation experience in software testing activities, with significant focus on automation using Python. Minimum 3+ years of hands-on experience in building and scaling automation frameworks. Excellent communication and interpersonal skills are essential, with strong verbal and writing proficiencies.

Qcentrio is looking for a highly skilled and self-managed Quality Assurance Automation Engineer with 6 to 8 years of experience to join our dynamic team. The ideal candidate will have a proven track record of building and scaling automation frameworks using Python. This role requires in-depth knowledge of leading automation testing tools, proficiency in database interactions, and a strong understanding of CI/CD principles. You will play a crucial role in ensuring the quality and reliability of our software solutions, working within an Agile methodology to deliver exceptional results. Responsibilities Test Planning & Design: Develop and document comprehensive application test plans and test cases based on software requirements and technical specifications. Agile Methodology: Evaluate requirements and define testing objectives and approaches while actively working within an Agile methodology. Communication & Reporting: Provide effective communication regarding issues, testing status, and potential risks to relevant stakeholders. Environment Management: Manage and maintain QA environments, including handling builds and deployments. Automation Solution Development: Design and develop robust test automation solutions using industry-leading tools and frameworks such as Cucumber/Behave/BDD, Selenium, PyTest, and Playwright, choosing technologies best suited for the application's requirements. Automation Execution & Maintenance: Automate and execute test scenarios, and run regression suites for both existing and new solutions. Transparency & Metrics: Provide transparency through well-defined metrics, automation testing results, and reporting. Technical Contributions: Utilize hands-on experience with Object-Oriented Programming (OOP) in Python, including advanced Python concepts and framework design. Data Handling: Leverage experience with Python open-source libraries like Pandas and NumPy, and possess knowledge of visualization tools. Database Proficiency: Demonstrate proficiency in database interactions with SQL Server or PostgreSQL. CI/CD Integration: Apply strong understanding of continuous integration and continuous delivery tools and techniques. Collaboration: Collaborate effectively as an individual contributor or as a team member as needed. Basic Qualifications Bachelor's degree in Computer Science, Information Systems, or Engineering is required, or in lieu, a demonstrated equivalence in work experience. 6 to 8 years of overall QA Automation experience in software testing activities, with significant focus on automation using Python. Minimum 3+ years of hands-on experience in building and scaling automation frameworks. Excellent communication and interpersonal skills are essential, with strong verbal and writing proficiencies.

Qcentrio is looking for a highly skilled and self-managed Quality Assurance Automation Engineer with 6 to 8 years of experience to join our dynamic team. The ideal candidate will have a proven track record of building and scaling automation frameworks using Python. This role requires in-depth knowledge of leading automation testing tools, proficiency in database interactions, and a strong understanding of CI/CD principles. You will play a crucial role in ensuring the quality and reliability of our software solutions, working within an Agile methodology to deliver exceptional results. Responsibilities Test Planning & Design: Develop and document comprehensive application test plans and test cases based on software requirements and technical specifications. Agile Methodology: Evaluate requirements and define testing objectives and approaches while actively working within an Agile methodology. Communication & Reporting: Provide effective communication regarding issues, testing status, and potential risks to relevant stakeholders. Environment Management: Manage and maintain QA environments, including handling builds and deployments. Automation Solution Development: Design and develop robust test automation solutions using industry-leading tools and frameworks such as Cucumber/Behave/BDD, Selenium, PyTest, and Playwright, choosing technologies best suited for the application's requirements. Automation Execution & Maintenance: Automate and execute test scenarios, and run regression suites for both existing and new solutions. Transparency & Metrics: Provide transparency through well-defined metrics, automation testing results, and reporting. Technical Contributions: Utilize hands-on experience with Object-Oriented Programming (OOP) in Python, including advanced Python concepts and framework design. Data Handling: Leverage experience with Python open-source libraries like Pandas and NumPy, and possess knowledge of visualization tools. Database Proficiency: Demonstrate proficiency in database interactions with SQL Server or PostgreSQL. CI/CD Integration: Apply strong understanding of continuous integration and continuous delivery tools and techniques. Collaboration: Collaborate effectively as an individual contributor or as a team member as needed. Basic Qualifications Bachelor's degree in Computer Science, Information Systems, or Engineering is required, or in lieu, a demonstrated equivalence in work experience. 6 to 8 years of overall QA Automation experience in software testing activities, with significant focus on automation using Python. Minimum 3+ years of hands-on experience in building and scaling automation frameworks. Excellent communication and interpersonal skills are essential, with strong verbal and writing proficiencies.

Qcentrio is looking for a highly skilled and self-managed Quality Assurance Automation Engineer with 6 to 8 years of experience to join our dynamic team. The ideal candidate will have a proven track record of building and scaling automation frameworks using Python. This role requires in-depth knowledge of leading automation testing tools, proficiency in database interactions, and a strong understanding of CI/CD principles. You will play a crucial role in ensuring the quality and reliability of our software solutions, working within an Agile methodology to deliver exceptional results. Responsibilities Test Planning & Design: Develop and document comprehensive application test plans and test cases based on software requirements and technical specifications. Agile Methodology: Evaluate requirements and define testing objectives and approaches while actively working within an Agile methodology. Communication & Reporting: Provide effective communication regarding issues, testing status, and potential risks to relevant stakeholders. Environment Management: Manage and maintain QA environments, including handling builds and deployments. Automation Solution Development: Design and develop robust test automation solutions using industry-leading tools and frameworks such as Cucumber/Behave/BDD, Selenium, PyTest, and Playwright, choosing technologies best suited for the application's requirements. Automation Execution & Maintenance: Automate and execute test scenarios, and run regression suites for both existing and new solutions. Transparency & Metrics: Provide transparency through well-defined metrics, automation testing results, and reporting. Technical Contributions: Utilize hands-on experience with Object-Oriented Programming (OOP) in Python, including advanced Python concepts and framework design. Data Handling: Leverage experience with Python open-source libraries like Pandas and NumPy, and possess knowledge of visualization tools. Database Proficiency: Demonstrate proficiency in database interactions with SQL Server or PostgreSQL. CI/CD Integration: Apply strong understanding of continuous integration and continuous delivery tools and techniques. Collaboration: Collaborate effectively as an individual contributor or as a team member as needed. Basic Qualifications Bachelor's degree in Computer Science, Information Systems, or Engineering is required, or in lieu, a demonstrated equivalence in work experience. 6 to 8 years of overall QA Automation experience in software testing activities, with significant focus on automation using Python. Minimum 3+ years of hands-on experience in building and scaling automation frameworks. Excellent communication and interpersonal skills are essential, with strong verbal and writing proficiencies.

Your Role Must have experience with Machine Learning Model Development Expert Level Proficiency in Data Handling (SQL) Hands-on with Model Engineering and Improvement Strong experience in Model Deployment and Productionlization Your Profile Extensive experience in developing and implementing machine learning, Deep Learning, NLP models across various domains, Strong proficiency in Python, including relevant libraries and frameworks for machine learning, such as scikit-learn, XGBoost and Keras. Ability to write efficient, clean, and scalable code for model development and evaluation. Proven experience in enhancing model accuracy through engineering techniques, such as feature engineering, feature selection, and data augmentation. Ability to analyze model samples in relation to model scores, identify patterns, and iteratively refine models for improved performance. Strong expertise in deploying machine learning models to production systems. Familiarity with the end-to-end process of model deployment, including data preprocessing, model training, optimization, and integration into production environments. What you will love about working here We recognise the significance of flexible work arrangements to provide support in hybrid mode, you will get an environment to maintain healthy work life balance Our focus will be your career growth & professional development to support you in exploring the world of opportunities. Equip yourself with valuable certifications & training programmes in the latest technologies such as AIML, Machine Learning The role is applicable for women candidates only. D&I Disclaimer: We are committed to fostering a diverse and inclusive workplace that values and celebrates differences. We believe that diversity in all its forms enriches our organization, promotes innovation, and drives success. We are dedicated to providing equal opportunities for all individuals, regardless of discrimination of any kind, including but not limited to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, neurodiversity, or veteran status. Our commitment extends to embracing all forms of diversity. We actively encourage candidates from diverse backgrounds to apply and join us in shaping a more inclusive future together

Job Title: Associate Manager - Supply Location: Ahmedabad (with occasional travel to Surat & Vadodara) Job Type: Full-Time, In-Office Key Responsibilities: Improve the overall supply of the Bike Parcel service, ensuring consistent and timely delivery to meet growing demand. Identify challenges and inefficiencies at the ground level, providing actionable insights and solutions in collaboration with the central team. Drive ground-level marketing activities to boost awareness and increase supply within Ahmedabad, Surat, and Vadodara. Work closely with local teams to ensure smooth operations and address any concerns related to bike parcel services. Monitor key metrics and track performance to continuously improve parcel supply and service quality. Coordinate with the operations team to optimize processes and ensure timely deliveries. Qualifications: Proven experience in supply management or a similar role. Familiarity with operations or logistics in the bike parcel or delivery industry is a plus. Ability to conduct effective ground-level marketing campaigns to increase service supply.

Job Title: Associate Manager - Supply Location: Ahmedabad (with occasional travel to Surat & Vadodara) Job Type: Full-Time, In-Office Key Responsibilities: Improve the overall supply of the Bike Parcel service, ensuring consistent and timely delivery to meet growing demand. Identify challenges and inefficiencies at the ground level, providing actionable insights and solutions in collaboration with the central team. Drive ground-level marketing activities to boost awareness and increase supply within Ahmedabad, Surat, and Vadodara. Work closely with local teams to ensure smooth operations and address any concerns related to bike parcel services. Monitor key metrics and track performance to continuously improve parcel supply and service quality. Coordinate with the operations team to optimize processes and ensure timely deliveries. Qualifications: Proven experience in supply management or a similar role. Familiarity with operations or logistics in the bike parcel or delivery industry is a plus. Ability to conduct effective ground-level marketing campaigns to increase service supply.

We are looking for a skilled professional with 5 to 10 years of experience in the MFI business, specifically in risk or audit departments. The ideal candidate will have a strong background in data handling and risk analytics. This position is based in Mumbai. Roles and Responsibility Map risks in MFB business and trigger system studies to identify trends. Ensure adherence to policy processes based on data triggers and analysis. Train and supervise the CMU team to ensure effective operations. Publish reports and MIS for CMU operations to track performance. Take end-to-end corrective action for violations identified from CMU, including case inputs for the Disciplinary committee and product teams. Provide regular training and briefs to sales leadership on trends in CMU. Job Minimum 5 years of experience in the MFI business, preferably in risk or audit departments. Strong working knowledge of data handling and risk analytics. Experience in publishing reports and MIS for CMU operations. Ability to train and supervise the CMU team effectively. Strong understanding of microfinance business operations and regulations. Excellent communication and analytical skills.

Job Opening: Analyst Onboarding POC (Hyderabad Only) We are hiring for the role of Analyst Onboarding POC at our Hyderabad location. Location: Hyderabad (Preferably local candidates) Key Responsibilities : Act as a point of contact for onboarding coordination. Manage and handle onboarding-related data. Coordinate with internal stakeholders and new joiners. Flexible with work shifts as required. Eligibility Criteria: Education: Only graduates in BA, B.Com, or BBA. B.Tech/BE candidates are strictly not eligible please apply accordingly. Final results must be declared at the time of application. Must have fluent verbal communication skills. If you meet the above criteria and are based in Hyderabad, we’d love to hear from you!

Required Good communication Document Processing & Verification Support Operational Support Backend, global admission counsellor or administrative support role experience will be preferred Candidates can call @HR Deepak - 9958131215

About Us Optiply is at the forefront of three rapidly expanding sectors: Software as a Service, Artificial Intelligence, and E-commerce With our intelligent purchasing software, we empower over 300 web shops and wholesalers to make smarter buying decisions, using predictive analytics to optimize inventory management Job Description As an R Engineer at Optiply, youll be part of a dynamic and collaborative team focused on developing, maintaining, and improving our statistical and machine learning models Youll work closely with data scientists, backend developers, and product teams to ensure our algorithms are robust, scalable, and integrated seamlessly into our systems This Is What You'll Be Doing Design, develop, and maintain statistical models and forecasting tools primarily using R Collaborate with the development team to integrate R-based solutions into broader systems and workflows Build APIs or microservices to expose R models to production systems when needed Optimize and refactor existing R code for performance and scalability Support data processing and ETL pipelines in collaboration with software engineers Work with our Customer Success Team to understand product requirements and translate them into technical solutions Ensure high standards of code quality, testing, and documentation This Is Who Were Looking For You have 36 years of professional experience in a data or engineering-focused role Experience with forecasting models, time series analysis, or inventory optimization Strong proficiency in R programming for statistical analysis, forecasting, or data modeling Solid hands-on experience with Python, especially for scripting, data handling, or API development Comfortable working with data from various sources (SQL, APIs, flat Familiar with DevOps tools and best practices (Docker, Git, CI/CD pipelines) is a plus Experience working in a production environment and collaborating across teams Self-driven, proactive, and comfortable working in a fast-paced, international environment Nice to Have Exposure to cloud platforms (AWS, GCP, or Azure) Prior experience in a SaaS, e-commerce, or supply chain tech company This It What We Offer Competitive Compensation Package: Reflects skills and contributions Holistic Work-Life Harmony: Values personal time and promotes a healthy work-life balance Comprehensive Health Coverage: Robust insurance plans Investment in Professional Growth: Paid training programs Adaptable Work Hours: Flexibility in schedule Hybrid Work Model: combining remote and in-office work Strategic Career Development: Personalized growth plans and advancement opportunities Tailored Workspace Setup: High-quality PC, monitor, keyboard, etc Social Fridays: Casual drinks fostering team camaraderie This Job Description made your day Then send us your CV in English and get prepared to meet our team!

About Newton School Come be part of a rocket ship thats creating a massive impact in the world of education! On one side you have over a million college graduates every year with barely 5% employability rates and on the other side, there are thousands of companies struggling to find talent Newton School aims to bridge this massive gap through its personalized learning platform We are building an online university and solving the deep problem of the employability of graduates We have a strong core team consisting of alumni from IIT's and IIMs, and have several years of industry experience in companies like Unacademy, Inmobi, Ola, and Microsoft among others On this mission, we are backed by some of the most respected investors around the world, RTP Global, Nexus Venture Partners, and a slew of angel investors including CREDs Kunal Shah, Flipkarts Kalyan Krishnamoorthy, Unacademy and Razorpay founders, Udaans Sujeet Kumar among others Job Description We are looking for a driven and detail-oriented Data Analyst Intern to join our B2B team The ideal candidate should have a strong command of Excel and a solid understanding of data handling, analysis, and visualization Key Responsibilities Clean, filter, and organize data to support business operations Build interactive dashboards and reports using Excel Use advanced Excel functions such as LOOKUPs, aggregate functions, etc Support the team with data-driven insights and reporting Collaborate with cross-functional teams to meet analytical requirements Requirements Proficiency in Microsoft Excel (formulas, dashboards, data tools) Ability to present data clearly and effectively Attention to detail and problem-solving mindset Strong communication and collaboration skills Must be available to join immediately and work from our Bangalore office What Youll Get Work closely with a fast-paced and impact-driven team Get hands-on experience with live projects Potential Pre-Placement Offer (PPO) based on performance Learn and grow in a high-performance environment

Position /Title: AI / ML Data Analyst Nos. required: 01 (One) Location: Visakhapatnam Port Authority (VPA) Mode of EmploymentContractual-Full Time Duration of Employment: 01 year (extendable on mutual consent) Job descriptionKey Responsibilities - Analyse and interpret large datasets generated from port operations, including cargo handling, logistics, and vessel traffic. Develop predictive models to optimize cargo throughput and reduce delays. Work with the IT and operations teams to integrate AI solutions into existing systems. Provide data-driven insights to improve decision-making in areas like port efficiency and resource allocation. Create reports and visualizations to communicate findings to management. Ensure compliance with data security and privacy regulations. Educational Qualifications: 04-year Bachelor's degree in Computer Science, Information Technology, or a related field. A Master's degree or higher in Data Science, Machine Learning or a relative field is often preferred. Certifications (anyone): Cisco Certified Network Associate (CCNA). Certification in Data Science / Machine Learning - Google, IBM Data Science Professional Certificate. Microsoft Certified: Azure AI Engineer Associate. SAS Certified Data Scientist, or similar. Skills & Experience: Technical Skills: Programming: Proficiency in programming languages such as Python, R, or SQL. Familiarity with libraries like Pandas, NumPy, and Scikit-learn for data manipulation and machine learning. Data Analysis: Strong experience in statistical analysis, data cleaning, and data visualization. Knowledge of tools like Tableau, Power BI for creating visualizations. Machine Learning: Understanding of machine learning concepts and algorithms (e.g., regression, classification, clustering, decision trees, etc). Hands-on experience building and tuning models. Data Wrangling: Experience with large datasets, including data extraction, transformation, and loading (ETL). Familiarity with databases (SQL, NoSQL) and data warehousing solutions. Tools and Frameworks: Experience with machine learning frameworks like TensorFlow, or similar. Familiarity with cloud platforms (AWS, Azure, Google Cloud) for deploying machine learning models. Soft Skills: Analytical Thinking: Strong analytical skills to understand complex data sets and derive actionable insights. Problem-Solving: Ability to translate business problems into data analysis or machine learning tasks. Communication: Strong verbal and written communication skills to explain technical results to non-technical stakeholders. Experience: Mid-Level: 3-5 years of experience working as a data analyst, data scientist, or in a similar role with hands-on experience in machine learning. Industry Knowledge : Experience in Ports / Maritime specific industries preferred. Project Experience: Real-World Projects: Demonstrated experience in working on real-world data analysis or machine learning projects, which may include internships, or personal projects. Portfolio: A portfolio showcasing previous work, including data analysis reports, machine learning models, and visualizations. Preferred Experience: Experience working with unstructured data (e.g., text, images) and applying machine learning techniques to extract insights. Familiarity with A/B testing, experimental design, or other methodologies for measuring the impact of data-driven decisions. Collaboration experience with cross-functional teams. KINDLY NOTE: APPLICATION ARE ACCEPTED ON OR BEFORE JULY 5th 2025 ONLY.

Identify, analyze, and interpret trends or patterns in complex data sets. Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems. Work with management to prioritize business. Required Candidate profile Knowledge of and experience with reporting packages databases (SQL etc), programming (XML, Javascript, or ETL frameworks). Adept at queries, report writing and presenting findings. Perks and benefits Flexible work arrangements.

Identify, analyze, and interpret trends or patterns in complex data sets. Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems. Work with management to prioritize business. Required Candidate profile Knowledge of and experience with reporting packages databases (SQL etc), programming (XML, Javascript, or ETL frameworks). Adept at queries, report writing and presenting findings. Perks and benefits Flexible work arrangements.

Job Title Data Scientist Predictive Analytics & Machine-Learning Solutions Location : Business Unit: Business Intelligence Why this role exists Fusion Business Solutions (P) Ltd. helps clients turn operational data into competitive advantage. As a Data Scientist you will design and deliver predictive models, machine-learning pipelines and data-driven insights that accelerate decision-making for both internal stakeholders and external customers. What you will do: Translate high-level business goals into data questions and measurable success criteria. Acquire, clean and combine large structured and unstructured datasets; document assumptions and data-quality checks. Explore data to uncover patterns, drivers and anomalies; present findings through clear visual stories and executive briefs. Build, validate and tune forecasting, classification, regression, recommendation and clustering models with modern open-source libraries. Package models for production with reproducible code, versioned artefacts and automated tests; deploy via REST APIs, batch jobs or embedded BI dashboards. Monitor accuracy, drift and usage; schedule retraining or rollback when thresholds are breached. Collaborate with data engineers on pipeline design and with BI developers on dashboard integration. Advise on A/B-test design and causal-impact analysis. Coach analysts and junior team members in statistical thinking, coding best practices and responsible AI principles. Technology you are likely to touch Python (pandas, scikit-learn, PyTorch/TensorFlow) SQL Spark or PySpark Docker, MLflow (or similar) Airflow/DBT GitHub Actions Power BI (or equivalent) At least one major cloud environment (AWS, GCP or Azure) Familiarity with generative-AI frameworks, NLP libraries or computer-vision toolkits is a plus. Must-have qualifications Three or more years of hands-on experience building and deploying predictive-analytics or machine-learning solutions that delivered measurable business value. Strong SQL skills and experience modelling datasets larger than 100 GB. Proficiency in Python (or R) for data analysis, modelling and automation. Practical understanding of model lifecycle management—including experiment tracking, version control, containerisation and CI/CD. Ability to explain technical concepts to non-technical audiences and to write concise technical documentation. Good-to-have extras Insurance domain exposure —experience working with policy, claims, premium or commission data; familiarity with underwriting or fraud-detection use cases; understanding of regulatory frameworks such as HIPAA, NAIC or IFRS 17. Experience in other FBSPL focus areas—accounting/BFSI workflows (general ledger, AP/AR), e-commerce fulfilment, RPA-driven back-office processes, or data-annotation quality control. Cloud-native ML services (AWS SageMaker, Google Vertex AI, Azure ML) and MLOps best practices. Time-series forecasting, optimisation algorithms or deep-learning frameworks. Certifications such as AWS Machine Learning Specialty, Microsoft DP-100, UiPath RPA Developer, or equivalent.

Excellent in Data handling. Proficient in excel, word, outlook, and PowerPoint. Excellent communication and interpersonal skills. knowledge of computer and IT systems. Excellent organizational and time-management skills. Required Candidate profile knowledge of computer and IT systems. Excellent organizational and time-management skills Educational Qualification: Bachelor's degree in any field.