Job description Job Summary We are seeking a highly skilled Senior Automation Anywhere Engineer to join our RPA team. The ideal candidate will be responsible for designing, developing, and maintaining automation solutions using Automation Anywhere A360/Enterprise . You will work closely with business analysts, project managers, and other stakeholders to understand process requirements and deliver high-quality automation solutions that drive operational efficiency and reduce manual workloads. Key Responsibilities Design, develop, test, and deploy end-to-end RPA solutions using Automation Anywhere A360/Enterprise . Lead automation projects from requirements gathering through deployment and maintenance. Create reusable components, frameworks, and libraries to streamline development. Collaborate with cross-functional teams to analyze and optimize existing business processes. Provide mentorship and technical guidance to junior developers and team members. Ensure adherence to best practices in RPA design, development, and deployment. Conduct code reviews, performance tuning, and maintain documentation. Support the RPA production environment and troubleshoot any issues. Stay updated on the latest RPA trends and Automation Anywhere updates. Required Qualifications Bachelors degree in Computer Science, Information Technology, or a related field. 5+ years of experience in software development or automation. 3+ years of hands-on experience with Automation Anywhere (v11 and/or A360) . Experience with task bots, meta bots, and control room configuration. Proficient in scripting languages such as Python, VBScript, or JavaScript. Solid understanding of relational databases, APIs, and web services. Familiarity with agile development practices and tools (JIRA, Confluence, etc.). Strong problem-solving and analytical skills. Preferred Qualifications Automation Anywhere Master or Advanced Certified. Experience with other RPA platforms (e.g., UiPath, Blue Prism) is a plus. Exposure to cloud-based automation and OCR tools like IQ Bot. Familiarity with DevOps tools and CI/CD pipelines. Excellent communication and stakeholder management skills. Role: Automation Developer Industry Type: NGO / Social Services / Industry Associations Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills Computer sciencePerformance tuningAutomationVB SCRIPTJavascriptJIRAStakeholder managementInformation technologyOperationsPython

Job description Designed, developed and delivered multiple machine learning projects including implementation in production Worked on a variety of Data Science projects Experience converting a business problem into a Data Science problem Strong grasp of ML and Time Series fundamentals and their applications in business Proficiency in Python (including pandas/scikit-learn) Experience in leading or guiding a team of data scientists/ML engineers Familiarity with relational databases and intermediate level knowledge of SQL read more Key Skills Skills highlighted with ‘‘ are preferred keyskills Data SciencepythonMl Algorithms machine learning

Job description Role & responsibilities We are looking for Fullstack Developer permanent position with MNC company for Hyderabad/Noida/Gurgaon location. Preferred candidate profile Mandatory skills: Java Python React JS Role: Full Stack Developer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate Key Skills Skills highlighted with ‘‘ are preferred keyskills JavaReact.JsPython

Job description What You Will Be Doing Perform functional, integration, and system-level testing on embedded systems. Design, implement, and maintain automated test scripts for embedded systems using tools such as Python, or specialized test automation frameworks for embedded software. Conduct hardware-in-the-loop (HIL) testing and software-in-the-loop (SIL) testing. Carry out performance, reliability, and regression testing to ensure long-term stability and robustness of embedded systems Collaborate with development and hardware teams to understand requirements, design, and implementation to ensure comprehensive test coverage. Perform debugging, testing, and validation of embedded systems. Participate in system architecture design, code reviews, and project discussions. Document design specifications, system requirements, and test procedures. What You Will Bring to ChargePoint An Embedded QA Engineer in the EV Charging software space will bring technical expertise, innovation, sustainability focus, and efficiency to our organization, positioning it as a leader in the evolving electric mobility industry. Some of them are Expertise in Embedded Systems Innovation in Electric Mobility Contribution to Sustainability Goals Efficiency and Cost-effectiveness Problem Solving and Continuous Improvement Collaboration and Cross-functional Expertise Requirements Bachelors degree in Electrical/Electronic Engineering, Computer Engineering, Computer Science, or a related field. 8+ Years, Experience with embedded operating systems such as Linux, or other real-time OS (RTOS). Proficiency in programming languages such as Python, or any scripting languages used for test automation. Familiarity with hardware communication protocols (UART, CAN, etc.) and tools like JTAG, debuggers, and emulators is a plus. Strong understanding of software development lifecycles (SDLC), particularly in embedded environments. Problem-solving mindset and strong analytical skills. Ability to work effectively in a team and communicate technical concepts clearly. Eagerness to learn and adapt to new technologies and development tools. Board level testing (if any, will be a bonus) Location Gurgaon, Haryana (India) Role: Automation Test Engineer Industry Type: Automobile (Electric Vehicle (EV)) Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Quality Assurance and Testing Education UG: Any Graduate Key Skills Skills highlighted with ‘‘ are preferred keyskills LinuxShell ScriptingPython UARTCan Protocol

Job description About the Role We are seeking a talented and versatile AI Engineer to join our growing team in Gurugram. This role requires a strong foundation in Artificial Intelligence and Machine Learning with practical experience across a diverse range of AI domains, including Computer Vision, Natural Language Processing (NLP), Machine Translation, Classification, and Generative AI. The ideal candidate will be passionate about developing innovative AI solutions, possess excellent problem-solving skills, and be capable of contributing to the entire lifecycle of AI projects, from research and development to deployment. Key Responsibilities AI Solution Development & Deployment Design and build AI/ML models across domains like Computer Vision, NLP, Machine Translation, Classification, and Generative AI. Develop end-to-end pipelines, from data ingestion and preprocessing to model deployment and monitoring. Write clean, efficient, and well-documented code, primarily in Python. Domain-Specific AI Applications Computer Vision: Build solutions for image recognition, object detection, segmentation, and video analysis using tools like OpenCV, TensorFlow, and PyTorch. NLP: Implement text classification, sentiment analysis, NER, topic modeling, etc., using libraries such as spaCy and Hugging Face Transformers. Machine Translation: Develop and fine-tune neural translation models, and experiment with various translation techniques. Classification Models: Apply and evaluate machine learning classifiers on structured and unstructured data using standard algorithms. Generative AI: Explore use cases in text and image generation using GANs, VAEs, and transformer-based models. Model Evaluation & Optimization Measure model performance using relevant metrics and continuously optimize based on real-world data and feedback. Deploy AI models into production and ensure reliability at scale. Research & Innovation Stay abreast of advancements in AI/ML and contribute ideas for integrating cutting-edge technologies into projects. Experiment with new tools, frameworks, and methodologies to drive innovation. Collaboration & Communication Work closely with cross-functional teams including data scientists, engineers, and product stakeholders. Present technical insights clearly and contribute to peer reviews and team knowledge sharing. Qualification & Functional Skills Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field. Minimum of 3+ years of hands-on experience in developing and implementing AI/ML models across multiple domains (Computer Vision, NLP, Translation, Classification, Gen AI). Strong programming skills in Python and experience with relevant AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Transformers, OpenCV, NLTK, spaCy). Solid understanding of fundamental machine learning algorithms and concepts. Experience working with various types of data (image, text, structured data). Experience with data preprocessing, feature engineering, and model evaluation techniques. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services is a plus. Experience with version control systems (e.g., Git). Excellent problem-solving, analytical, and critical thinking skills. Strong communication and collaboration abilities. Role: Software Development - Other Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: B.Tech/B.E. in Computers Key Skills Skills highlighted with ‘‘ are preferred keyskills NLPComputer Vision Generative AIClassification

Job description We are seeking a Supply Chain Analytics Specialist to drive data-driven decision-making in supply chain operations. The ideal candidate will have expertise in SQL, and Power BI, along with a strong analytical mindset to optimize supply chain processes and improve operational efficiencies. Key Responsibilities: Design and develop Power BI dashboards to provide real-time insights into supply chain performance, demand forecasting, and inventory management. Well versed with DAX queries and M-queries. Able to utilize SQL where ever it is required. Collaborate with cross-functional teams (procurement, logistics, and finance) to understand business requirements and implement analytics solutions. Perform data modeling, cleansing, and transformation to ensure high data accuracy and quality. Optimize supply chain processes through predictive analytics and trend analysis. Work on automating reporting processes and enabling self-service analytics. Ensure data governance, security, and compliance across all supply chain analytics solutions. Key Requirements: 5-7 years of experience in Supply Chain Analytics or a similar role. Strong expertise in building and managing Azure Data Pipelines. Proficiency in Power BI, including DAX, data modeling, and visualization techniques. Experience working with SQL, Python, or other scripting languages for data manipulation. Understanding of supply chain concepts such as demand planning, procurement, logistics, and inventory management. Strong analytical and problem-solving skills with a data-driven mindset. Excellent communication and stakeholder management skills. Preferred Qualifications: Experience with AI/ML models for supply chain forecasting. Familiarity with Azure Data Pipelines, Azure databricks and big data processing. Knowledge of ERP systems (SAP, Oracle, etc.). Role: Logistics / SCM Analyst Industry Type: Industrial Equipment / Machinery Department: Procurement & Supply Chain Employment Type: Full Time, Permanent Role Category: SCM & Logistics Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills Supply Chain Analytics AzurePower BIdata modelingpredictive analyticsDAXdata visualizationdemand planningSQLPython

Job description We are seeking a skilled IT Business Process Data Analyst to support our team. The ideal candidate should have strong hands-on experience with VBA, VBScript, Python, and advanced Excel (macros, pivot tables, data analysis). Knowledge of SAP ERP, master data, and structured data interpretation is essential. Proficiency in the Microsoft Office suite and strong communication skills in English are required. Key Responsibilities Design, develop, and maintain automation scripts using VBA, VBScript, and Python Perform advanced tasks in Microsoft Excel, including complex formulas, macros (VBA), pivot tables, and data analysis Support data-related requests in SAP, including extraction, validation, and documentation of business-relevant data Use the Microsoft Office suite efficiently to support documentation, communication, and reporting workflows Analyze and interpret structured data to support business decision-making Ensure high data quality with a particular focus on master data (e.g., material, customer, vendor) Support basic operations within SAP and assist in data extraction and validation Communicate effectively in English, both in writing and verbally, in a professional context Required Skills and Qualifications Proficiency in VBA, VBScript, and Python for automation and data processing tasks Strong knowledge of Microsoft Excel, including formulas, VBA macros, data transformation, and reporting tools Solid understanding of the Microsoft Office suite (Excel, Word, Outlook, PowerPoint) Sound understanding of data structures, particularly master data and its relevance in business processes Basic knowledge of SAP ERP (e.g., navigating transactions, data extraction, and interpretation) Strong analytical mindset and a keen attention to detail in handling structured data Good command of the English language, both written and spoken 2-3 Years of Experience. Role: Business Analyst Industry Type: Industrial Equipment / Machinery Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Business Intelligence & Analytics Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills Python pivot tablesSAP ERPdata analysisVBAVBA macrosdata structuresdata transformationVBScript

Job description About your team Investment Research Solutions is part of the research section of Investment Management which sits within Fidelitys Investment Solutions & Services business. The team works closely with equity, fixed income and sustainable research teams of Fidelity, and alongside key cross-asset, supporting and strategic functions such as Cross-Asset Initiatives, including Investment Data & Intelligence, Primary Research, and Investment Research Specialists. Industry-leading investment research is core to Fidelitys DNA and is at the heart of our clients expectations of us as a firm. The intellectual property produced by our research team underpins existing investment strategies as well as drives innovation for future growth. Investment Research Solutions is a cross-asset, global team working closely with a wide group of investment professionals to support key business functions such as operational processes within research and delivery of strategic initiatives, including change and technology platform developments. About your role This role exists to support the smooth operational running of investment research and to identify areas for improvement, driving positive change and encouraging best practice to achieve desired business outcomes. Working closely with colleagues in Gurgaon, as well as team members globally, you will develop a deep understanding of FILs internal research and reporting platforms, as well as the investment research processes, enabling you to provide mission critical information and support to analysts and their managers on a timely basis. Specifically, you will need to collate, compile, mine and present a broad range of analyst output and company financial data for internal use and regulatory reporting. You will additionally perform administration of company and issuer coverage, create, design, and analyse bespoke reports and dashboards for the Research management team using multiple sources and prepare company meeting packs for the Investment Management team. About you Excellent spoken and written English is essential, along with the ability to build strong, collaborative working relationships globally Advanced Microsoft PowerPoint and Excel (including VBA), working knowledge of databases (e.g. SQL), and experience with a visual analytics tool (e.g. PowerBI, Tableau) is essential Experience with programming languages Python, or other programming languages would be advantageous Previous experience in a research, operations support, data management role, ideally gained in the financial services/investment management industry will be taken into account, but we are happy to consider less experienced but highly numerate and technically skilled candidates with an interest in financial markets and investment management Self-motivated, proactive, and positive team-player with strong organisational skills and ability to coordinate multiple schedules Responsive; able to understand client needs and to provide and articulate solutions in a timely manner Flexible, with a willingness to collaborate and take on new tasks in what is an environment of rapid change Experience managing small-scale projects and working on process enhancement and automation Role: Data Science & Analytics - Other Industry Type: Banking Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Analytics - Other Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills SQL data managementVBAPower BIvisual analyticsTableau

Job description Duration: Long term Location: Hyd (hybrid) Job Description: DevOps Engineer - CI/CD Company Overview: Cisco is a forward-thinking technology company focused on delivering innovative solutions in Information Technology. We are seeking a skilled and motivated DevOps Engineer to join our team and play a crucial role in building and managing our Continuous Integration and Continuous Deployment (CI/CD) pipelines. As a DevOps Engineer in our organization, you will have the opportunity to shape our development and deployment processes to ensure efficiency, reliability, and rapid delivery of high-quality software. Position Overview: We are looking for a talented DevOps Engineer with a strong background in CI/CD pipeline design, implementation, and management. In this role, you will collaborate closely with development, quality assurance, and operations teams to streamline and automate our software delivery pipeline. Your expertise will contribute to the enhancement of our development practices, enabling our teams to deliver software with speed, quality, and consistency. Responsibilities: Design, implement, and maintain end-to-end CI/CD pipelines using Jenkins to enable automated build, testing, and deployment of applications. Collaborate with development teams to define best practices for code integration, branching, and versioning strategies. Provision and manage various AWS/Azure services like RDS, MSK, Elasticache, EC2, S3, EFS, CloudFront etc using Terraform. Launch Kubernetes platform (EKS/AKS) using Terraform. Docker image creation/hardening/patching and application deployment using helm chart. Collaborate with operations teams to ensure smooth deployment and release processes, including rollbacks and disaster recovery plans. Continuously monitor and optimize the performance and efficiency of CI/CD pipelines to reduce build and deployment times. Stay updated with industry best practices and emerging technologies in DevOps and suggest relevant improvements. Integrate automated testing frameworks and static code analysis tools like SonarQube into the CI/CD pipeline to ensure software quality. Provide technical support to development teams in diagnosing and troubleshooting issues. Participate in on-call rotations and incident response activities. Qualifications: Bachelor s degree in computer science, Information Technology, or a related field. Relevant certifications are a plus. 5 years of experience as a DevOps Engineer, Site Reliability Engineer, or in a similar role. Strong understanding of CI/CD concepts, tools, and best practices. Proficiency in scripting and programming languages such as Python, Shell, Bash, Groovy. Experience with CI/CD tools like Jenkins, ArgoCD, Argo Workflow, Octopus Deploy etc. Familiarity with version control systems (GitHub) and branching strategies. Solid experience in containerization technologies (Docker) and orchestration (Kubernetes/EKS/AKS) Hands-on experience with infrastructure-as-code tools such as Terraform, CloudFormation, etc. Solid understanding of cloud platforms like AWS & Azure. Experience in monitoring tools like Grafana, Prometheus & CloudWatch. Excellent problem-solving skills and the ability to troubleshoot complex technical issues. Strong communication and collaboration skills to work effectively across teams. Demonstrated ability to automate repetitive tasks and drive process improvements. Role: DevOps Engineer Industry Type: Software Product Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: DevOps Education UG: Any Graduate PG: Any Postgraduate Key Skills Computer scienceAutomationManager Quality AssuranceDisaster recoveryWorkflowsoftware qualityciscoInformation technologyTechnical supportPython

Job description Who are we? Falcon a Series-A funded cloud-native, AI-first banking technology & processing platform that helps banks, NBFCs, and PPIs quickly and affordably launch next-gen financial products, such as credit card, credit line on UPI, prepaid card, fixed deposits, and loans. Since our 2022 launch, weve processed USD 1 Bn+ in transactions, signed on 12 of India's top financial institutions, & clocked USD 15 Mn+ in revenue. Our company is backed by marquee investors from around the world, including heavyweight investors from Japan, USA, as well as leading Indian ventures and banks. For more details, please visit https://falconfs.com/ Experience level : Intermediate (6-10 years) Key Responsibilities: 1. Design, develop, and support scalable ETL processes using open source tools and data frameworks like AWS Glue, AWS Athena, redshift, Apache Kafka, Apache Spark, Apache Airflow and Pentaho Data Integration PDI 2. Design, creation and maintenance of data lakes and data warehouse on AWS cloud. 3. Maintain and optimise our data pipeline architecture, and formulate complex SQL queries for big data processing. 4. Collaborate with product and engineering teams to design and develop a platform for data modelling and machine learning operations. 5. Implement various data structures and algorithms to ensure we meet both functional and non-functional requirements. 6. Maintain data privacy and compliance according to industry standards. 7. Develop processes for monitoring and alerting on data quality issues. 8. Continually evaluate new open source technologies and stay updated with the latest data engineering trends. Key Qualifications: 1. Bachelors or Master’s degree in Computer Science, MCA from a reputed institute 2. Minimum of 7years experience in a data engineering role. 3. Experience using Python, Java, or Scala for data processing (Python preferred) 4. Demonstrably deep understanding of SQL and analytical data warehouses. 5. Solid experience with popular database frameworks such as PostgreSQL, MySQL, and MongoDB 6. Knowledge of AWS technologies like , lambda, Athena, glue and redshift 7. Hands-on experience implementing ETL (or ELT best practices at scale. 8. Hands-on experience with data pipeline tools (Airflow, Luigi, Azkaban, dbt) 9. Experience with version control tools like Git. 10. Familiarity with Linux-based systems and cloud services, preferably in environments like AWS. 11. Strong analytical skills and ability to work in an agile and collaborative team environment. Preferred Skills: 1. Certification in any open source big data technologies. 2. Expertise in open source big data technologies like Apache Hadoop, Apache Hive, and others. 3. Familiarity with data visualisation tools like Apache Superset, Grafana, tableau etc. 4. Experience in CI/CD processes and containerization technologies like Docker or Kubernetes. ****IMMEDIATE JOINERS ONLY***** Role: Data Engineer Industry Type: Miscellaneous Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate Key Skills Skills highlighted with ‘‘ are preferred keyskills AWSSQL Data PipelineData WarehousingETLPython