4894 Data Processing Jobs - Page 26

Strong proficiency in Python programming and development Advanced experience with AWS Glue, redshift and PySpark Strong SQL skills and redshift skills nowledge of data pipeline development and optimization Experience in implementing data quality frameworks Understanding of version control and CI/CD practices Ability to troubleshoot complex data processing issues Strong analytical and problem-solving skills Aws, Glue, Hive, Pyspark, Redshift, Spark

The ideal candidate will have 7- 10 years of experience in leading technical teams, driving data driven projects, and delivering innovative solutions This role requires a blend of technical expertise, leadership capabilities, and a passion for mentoring and developing team members Mandate Skill-Skill Sets in problem definition, data science solution design and development (forecasting, driver-based modelling, portfolio analytics preferred) Responsibilities:Lead and manage a team of data scientists and engineers, ensuring high quality deliverables and adherence to project timelines Design and implement data science solutions that address business challenges and drive strategic initiatives Collaborate with cross functional teams to gather requirements, define project scope, and establish clear objectives Provide technical guidance and mentorship to team members, fostering a culture of continuous learning and improvement Stay updated with the latest trends and advancements in data science and related technologies, integrating them into team practices Conduct code reviews and ensure best practices in data management, model development, and deployment Communicate effectively with stakeholders, presenting complex data insights in a clear and actionable manner Monitor project progress and performance metrics, making adjustments as necessary to meet goals Mandatory Skills:Strong knowledge of Data Science Essentials, including statistical analysis, machine learning algorithms, and data visualization techniques Proficiency in programming languages such as Python, R, or similar, with experience in data manipulation and analysis libraries Experience with data processing frameworks and tools (eg, Hadoop, Spark) and database management systems (eg, SQL, NoSQL) Demonstrated ability to lead technical teams and manage multiple projects simultaneously Excellent problem solving skills and a strong analytical mindset Preferred Skills:Experience with cloud platforms (eg, AWS, Azure, Google Cloud) and their data science services Familiarity with DevOps practices and tools for continuous integration and deployment Knowledge of big data technologies and frameworks Experience in Agile methodologies and project management tools

Key ResponsibilitiesUnderstand business requirements by engaging with business teams Data extraction from valuable data sources & automating data collection process Data processing, cleaning and validating integrity of data to be used for analysis Exploratory data analysis to identify trends and patterns in large amount of data Build machine learning based models using algorithms and statistical techniques like Regression, Decision trees, Boosting etc Present insights using data visualization techniques Propose solutions and strategies to various complex business challengesBuild GenAI models using RAG frameworks for chatbots, summarisation etc Develop model deployement pipline using Lambda, ECS etcSkills & AttributesKnowledge of statistical programming languages like R, Python and database query languages like SQL and statistical tests like distributions, regression etc Experience in data visualization tools like tableau, QlikSense etc Ability to write comprehensive reports, with an analytical mind and inclination for problem-solving Exposure in advanced techniques like GenAI, neural networks, NLP, image and speech processing Ability to engage with stakeholders to understand business requirements and convert the same into technical problems for solution development and deployment

Delivers complete solutions spanning all phases of the Software Development Lifecycle (SDLC) (design, implementation, testing, delivery and operations), based on definitions from more senior roles. Advises immediate management on project-level issues Guides junior engineers Operates with little day-to-day supervision, making technical decisions based on knowledge of internal conventions and industry best practices Applies knowledge of technical best practices in making decisions

Essential Responsibilities Lead the development and optimization of advanced machine learning models. Oversee the preprocessing and analysis of large datasets. Deploy and maintain ML solutions in production environments. Collaborate with cross-functional teams to integrate ML models into products and services. Monitor and evaluate the performance of deployed models, making necessary adjustments. Minimum Qualifications Minimum of 8 years of relevant work experience and a Bachelors degree or equivalent experience. Extensive experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn. Expertise in cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.

About The Role This is an Internal document. Job TitleSenior Data Engineer About The Role As a Senior Data Engineer, you will play a key role in designing and implementing data solutions @Kotak811. — You will be responsible for leading data engineering projects, mentoring junior team members, and collaborating with cross-functional teams to deliver high-quality and scalable data infrastructure. — Your expertise in data architecture, performance optimization, and data integration will be instrumental in driving the success of our data initiatives. Responsibilities 1. Data Architecture and Designa. Design and develop scalable, high-performance data architecture and data models. b. Collaborate with data scientists, architects, and business stakeholders to understand data requirements and design optimal data solutions. c. Evaluate and select appropriate technologies, tools, and frameworks for data engineering projects. d. Define and enforce data engineering best practices, standards, and guidelines. 2. Data Pipeline Development & Maintenancea. Develop and maintain robust and scalable data pipelines for data ingestion, transformation, and loading for real-time and batch-use-cases b. Implement ETL processes to integrate data from various sources into data storage systems. c. Optimise data pipelines for performance, scalability, and reliability. i. Identify and resolve performance bottlenecks in data pipelines and analytical systems. ii. Monitor and analyse system performance metrics, identifying areas for improvement and implementing solutions. iii. Optimise database performance, including query tuning, indexing, and partitioning strategies. d. Implement real-time and batch data processing solutions. 3. Data Quality and Governancea. Implement data quality frameworks and processes to ensure high data integrity and consistency. b. Design and enforce data management policies and standards. c. Develop and maintain documentation, data dictionaries, and metadata repositories. d. Conduct data profiling and analysis to identify data quality issues and implement remediation strategies. 4. ML Models Deployment & Management (is a plus) This is an Internal document. a. Responsible for designing, developing, and maintaining the infrastructure and processes necessary for deploying and managing machine learning models in production environments b. Implement model deployment strategies, including containerization and orchestration using tools like Docker and Kubernetes. c. Optimise model performance and latency for real-time inference in consumer applications. d. Collaborate with DevOps teams to implement continuous integration and continuous deployment (CI/CD) processes for model deployment. e. Monitor and troubleshoot deployed models, proactively identifying and resolving performance or data-related issues. f. Implement monitoring and logging solutions to track model performance, data drift, and system health. 5. Team Leadership and Mentorshipa. Lead data engineering projects, providing technical guidance and expertise to team members. i. Conduct code reviews and ensure adherence to coding standards and best practices. b. Mentor and coach junior data engineers, fostering their professional growth and development. c. Collaborate with cross-functional teams, including data scientists, software engineers, and business analysts, to drive successful project outcomes. d. Stay abreast of emerging technologies, trends, and best practices in data engineering and share knowledge within the team. i. Participate in the evaluation and selection of data engineering tools and technologies. Qualifications1. 3-5 years"™ experience with Bachelor's Degree in Computer Science, Engineering, Technology or related field required 2. Good understanding of streaming technologies like Kafka, Spark Streaming. 3. Experience with Enterprise Business Intelligence Platform/Data platform sizing, tuning, optimization and system landscape integration in large-scale, enterprise deployments. 4. Proficiency in one of the programming language preferably Java, Scala or Python 5. Good knowledge of Agile, SDLC/CICD practices and tools 6. Must have proven experience with Hadoop, Mapreduce, Hive, Spark, Scala programming. Must have in-depth knowledge of performance tuning/optimizing data processing jobs, debugging time consuming jobs. 7. Proven experience in development of conceptual, logical, and physical data models for Hadoop, relational, EDW (enterprise data warehouse) and OLAP database solutions. 8. Good understanding of distributed systems 9. Experience working extensively in multi-petabyte DW environment 10. Experience in engineering large-scale systems in a product environment

KPI Partners is seeking a skilled Databricks Specialist to join our team. The ideal candidate will possess a strong background in data engineering, analytics, and machine learning with substantial experience in the Databricks platform. Key Responsibilities: - Design, develop, and maintain scalable data pipelines and ETL processes on Databricks. - Collaborate with data scientists and analysts to support analytics initiatives using Databricks and Apache Spark. - Optimize data engineering workflows for performance and cost efficiency. - Monitor and troubleshoot data processing jobs and workflows to ensure high availability and reliability. - Implement and maintain data governance and security measures on Databricks. - Provide technical guidance and support to team members on Databricks best practices and performance tuning. - Stay updated with the latest trends in data engineering, big data, and cloud technologies. Qualifications: - Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. - Proven experience in working with Databricks, Apache Spark, and big data technologies. - Strong programming skills in languages such as Python, Scala, or SQL. - Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. - Experience with data visualization tools and frameworks. - Excellent problem-solving skills and the ability to work independently as well as part of a team. Preferred Qualifications: - Databricks certification or relevant big data certifications. - Experience with machine learning libraries and frameworks. - Knowledge of data warehousing solutions and methodologies. If you are passionate about data and possess a deep understanding of Databricks and its capabilities, we encourage you to apply for this exciting opportunity with KPI Partners. Join us in our mission to leverage data for impactful decision-making.

High-volume data entry with accuracy Strong typing speed, attention to detail Familiarity with Excel, Google Sheets

Job description: Mission (Why does this role exist?) and Scope (About the Job) We are seeking a highly skilled and detail-oriented Advance Excel/Google Sheets Specialist to join our team. The candidate will be responsible for managing and optimizing complex data sheets, automating workflows, and providing valuable insights through advance data analysis and reporting. This role involves working extensively with Looker Studio, Google Sheets, Excel, and automation scripts while collaborating across departments. Key Responsibilities and Outcomes Data Analysis & Reporting Develop dashboards and reports to visualize key performance indicators and trends such as productivity, efficiency gains, error reduction, cost savings, and team performance across clients Collaborate with stakeholders to identify data requirements and ensure data accuracy and integrity. Generate insights and recommendations to support data-driven decision-making and strategic planning for the management, highlighting key performance indicators and trends. Review analysis of activities, costs, operations and forecast data to determine department or division progress toward stated goals and objectives. Ensure accuracy, consistency, and timeliness of all data being captured and reported. Process Automation & Tools Management Create and maintain automation workflows using Google Apps Script, Macros, and other coding tools Implement custom scripts and automation solutions to reduce manual work across departments. Continuously improve reporting efficiency and accuracy through advanced formulas and automation. Collaboration & Stakeholder Management Work closely with HR, IT, and other business units to manage and improve departmental data sheets and trackers. Act as the central point of coordination for all productivity and efficiency tracking across the firm. Support leadership with ad-hoc analysis and reports as needed Process Optimization & Governance Use data trends to recommend strategies that enhance productivity and resource utilization. Standardize reporting templates and maintain centralized records for cross-team visibility. o Support operational planning through data-driven insights. Ensure compliance with company policies and data governance standards. Document automation workflows, coding scripts, and reporting processes for continuity Qualifications and Experience Education Qualifications (Preferred) BE/Diploma in Engineering (Mechanical/Electrical/Civil/Computer Science/IT) Experience 3+ years of hands-on experience in data analytics, reporting, or operations analytics within a design/engineering or technical firm. Skill Requirements Proficiency in Excel, Power BI/Looker Studio or other relevant applications with the ability to create complex dashboards and analyze data. Advanced skills in Excel/Google Sheets (including complex formulas, Pivot Tables, Power Query, and Macros) o Strong knowledge of Apps Script, VBA, SQL, or other scripting/coding languages for automation. Hands-on experience in data cleaning, transformation and reporting o Strong analytical, problem-solving, and communication skills. Ability to work independently while managing multiple stakeholders across departments. Innovative mindset with the ability to propose and implement automation solutions Growth & Opportunities This role offers exposure to cross-departmental functions, technical problem-solving, and process automation in a fast-paced environment. The candidate will play a critical role in shaping productivity insights, streamlining workflows, and enabling data-driven decision-making across the firm. Why Join Us Opportunity to work at the intersection of engineering, operations, and data analytics. o Play a key role in shaping productivity insights and improving firm-wide performance. o Collaborative and growth-oriented work environment in a fast-evolving design engineering firm. Job Types: Full-time, Permanent puter Science/IT)

About the Role: We are hiring Data Entry Associates to support our international recruitment business. Your main task will be finding companies online, collecting contact details, and entering them into Google Sheets . Payment Structure: Performance-based pay you will be paid per verified lead you submit. The more verified leads you provide, the more you earn. Average earnings: 3,000 – 8,000+ per month , depending on performance. Responsibilities: Research companies across different countries. Collect and verify details (company name, website, email, phone, etc.). Enter data in the required format (Google Sheets). Ensure accuracy and avoid duplicate entries. Requirements: Basic computer knowledge (Excel/Google Sheets). Good internet research skills. Accuracy and attention to detail. Students / freshers welcome – no prior experience needed. What We Offer: 100% Remote work – flexible hours. Paid per lead – unlimited earning potential. Training provided.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Preferred qualifications: Master's degree or PhD in Computer Science or related technical fields. 2 years of experience with data structures or algorithms. Experience developing accessible technologies. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Write product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,) Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.

Responsible for supporting the administrative processes related to examinations like preparing examination materials, coordinating with faculty and students, ensuring compliance with examination policies, and maintaining accurate records. Required Candidate profile The role requires strong organizational skills Proficiency in Microsoft Office and other relevant software. Excellent written and verbal communication skills.

The Team: Corporate Profiles Operations team builds & manages Corporate Firmographic information for Key Private & Public companies globally by doing secondary research from key fillings like 10K, 8K, Company websites, regulator websites, press releases etc. The Team builds on and provides an integrated view of Entities and their firmographic information like business, product lines, name changes, addresses etc. This Data enables a consolidated view of an organization for effective Risk Assessment, comparison & single point view of all essential intelligence. Roles and Responsibilities: Process data (depending on the process selected for) and apply it in an accurate manner to the database using technical and financial knowledge. Extraction, Collection, Standardization, and validation of profiles and industry classification data for Public and Private companies from various sources as per the guidelines Deliver on predefined individual and team targets based on Productivity and timeliness metrics Delivering accurate and defect free work with Doing right the first time mindset Provide inputs and ideas for new collection methods and product enhancements related to the respective processes. Build subject matter expertise towards various workflows and processes within the dataset Keep up to date knowledge of content datasets What we look for: Fair Finance & accounting Knowledge Strong research, quantitative, analytical, and interpretive skills Ability to multi-task and work in a team environment, while following flexible schedules to meet deadlines Effective communication skills (both written & Verbal) and sound computer skills Quick learner and result oriented mindset Capable of taking new initiatives and demonstrating resourcefulness Strong attention to detail and persistent approach to work Professionalism and work ethics Basic Qualifications: Post-Graduation: MBA/ M. Com/PGDM (Any Stream with Finance Accountancy as Major subject). We can consider a science graduate with Post Graduation in Finance Stream. Well versed with Internet searching and MS Excel and PowerPoint A Positive attitude, strong interest in research, flair for writing and an eye for detail Ability to interact with many levels and to face and deal with issues in a mature and professional manner

You should have a minimum of 1+ years of experience in Chat, Email, Voice, and Ecommerce. In this role, you will be responsible for creating comprehensive training materials covering transaction monitoring, data processing, and quality assurance. Your duties will include conducting regular training sessions for new hires and ongoing training for existing team members. It is essential to educate team members on the significance of accurate data labeling and its impact on machine learning model performance. You will provide detailed guidelines and hands-on training to ensure high labeling accuracy. Staying informed about the latest developments in data processing and quality assurance is crucial. Your responsibilities also include revising training materials to incorporate new standards, technologies, and best practices. You will assess the effectiveness of training programs through feedback assessments and performance metrics, making necessary improvements based on evaluation results. Creating a culture of continuous learning and improvement within the team is key. Collaboration with quality analysts and other stakeholders to identify training needs and address skill gaps is also part of the role. Maintaining detailed records of training sessions, participant progress, and feedback is essential. Reporting on training outcomes and suggesting actionable insights for improving quality assurance processes will be required. Ideally, you should be a graduate/post-graduate in a relevant field with a minimum of 2-3 years of experience as a process trainer or in a relevant role. Professionalism and commitment to work are crucial. You should possess complete knowledge of the training domain in the Data Annotation field, along with good knowledge of Data Labelling & Data Annotation. Familiarity with various training tools methodology/feedback delivery/BQM/TNI is necessary. Additionally, you should have knowledge of Data Annotation/AI/ML/Data Processing/Data Labelling. Being well-versed with 2D/3D photos & panoramas AI & Annotation Tools is preferred. Strong communication skills, ability to understand and convey instructions effectively, and a passion for continuous learning are essential for this role. Required Skills: performance metrics, report preparation, training programs, ecommerce, quality assurance, data labeling, email, collaboration, annotation, voice, continuous learning, AI/ML, machine learning, chat, communication, data processing, quality analysts, training.,

You will be joining one of the elite units of Infosys Strategic Technology Group (STG) led by the Unit Technology Officer (CTO) as a full stack architect. As part of the Power Programmer initiative in Global Delivery, your primary responsibility will be to build a team of Full Stack Developers. This team will focus on executing complex engineering projects, developing platforms, and creating marketplaces for clients by leveraging cutting-edge technologies. Your role as a full stack architect will require you to stay ahead of the technology curve and continuously enhance your skills to become a Polyglot developer. You will be expected to proactively address end customer challenges by dedicating most of your time to designing and coding solutions for technology-oriented development projects. Working in an Agile mode, you will be involved in providing solutions with minimal system requirements. Collaboration with other Power Programmers, participation in the Open Source community, and engagement with Tech User groups will be essential aspects of your role. You will also have the opportunity to engage in custom development of new platforms and solutions, work on large-scale digital platforms and marketplaces, and contribute to complex engineering projects using cloud-native architecture. In this role, you will collaborate with innovative Fortune 500 companies, utilizing cutting-edge technologies to co-create and develop new products and platforms for clients. Additionally, you will be encouraged to contribute to Open Source projects and continuously upskill in the latest technology areas while incubating tech user groups. Your technical expertise should include proficiency in Big Data technologies such as Spark, Scala, Hive, Kafka, HBase, Oozie, and Sqoop. Your experience in functional programming with Scala and data processing with Spark Streaming will be highly valuable in this role.,

RichestSoft is seeking a skilled Python Developer with experience in AI/ML, Web Scraping, and Deep Learning to join our dynamic team. As a Python Developer at RichestSoft, you will be responsible for developing and maintaining Python-based applications focusing on AI/ML models, deep learning, and data scraping. Your role will involve building, training, and deploying machine learning and deep learning models for various business applications, optimizing algorithms for web scraping, and integrating AI/ML models with existing systems for efficient operation. You will work with large, complex datasets to build scalable and effective AI models, collaborate with cross-functional teams to design data-driven solutions, and stay updated on the latest trends in AI, ML, web scraping technologies, and deep learning. Additionally, you will optimize and enhance the performance of existing Python code and models, as well as assist in writing technical documentation for AI/ML solutions, tools, and processes. The ideal candidate will have proven experience in Python development, with a focus on AI/ML, web scraping, and deep learning. Proficiency in web scraping tools and frameworks like BeautifulSoup, Scrapy, and Selenium, along with strong experience in machine learning libraries such as TensorFlow, PyTorch, Scikit-Learn, and Keras is required. A solid understanding of deep learning concepts and frameworks, proficiency in data manipulation using libraries like Pandas and NumPy, and experience with cloud platforms for AI/ML model deployment are highly desirable. Candidates should also possess familiarity with database systems, version control systems, and API integration, along with excellent problem-solving and analytical skills. The ability to work independently and in a team environment, strong communication skills, and the capability to document technical processes are essential for this role. Preferred qualifications include experience in NLP, Computer Vision, or other specialized AI fields, deploying machine learning models in production environments, and knowledge of Docker, Kubernetes, and DevOps practices for AI/ML. Educational requirements include a Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience. This is a full-time position with benefits, offering a flexible schedule and an in-person work location during day and morning shifts. Applicants are required to provide details of their current and expected salary, as well as their availability for immediate joining. The role requires at least 1 year of experience in Python. Join RichestSoft and be part of a team that is passionate about building intelligent systems and solving real-world problems through AI, ML, and deep learning technologies.,

As an Alteryx to Dataiku Migration Specialist at Novartis in Hyderabad, you will play a crucial role in our company's data strategy by leading large-scale migration projects from Alteryx to Dataiku. With over 10 years of experience in data analytics, ETL processes, and migration procedures, you will be responsible for ensuring a seamless transition to Dataiku while minimizing disruptions to business operations. Your key responsibilities will include planning, managing, and executing migration projects, developing comprehensive migration strategies, and proposing alternate target tools to the business with strong technical reasoning. You will leverage your technical expertise in Alteryx and Dataiku to address challenges during the migration process and optimize data workflows and ETL processes within Dataiku for improved performance post-migration. Collaboration will be essential as you work closely with cross-functional teams, provide training and support to staff on the new Dataiku platform, and maintain thorough documentation of migration processes. Your meticulous attention to detail, customer focus, and ability to remain resilient under pressure will be critical to the success of the migration projects. To be successful in this role, you should have a minimum of 10 years of experience in ETL/complex data processing, hands-on technical expertise in Dataiku and Alteryx, and strong coding skills. Previous experience in a similar role within a large organization and proficiency in Python would be desirable. Additionally, experience with Alteryx to Dataiku migration is a plus, along with the ability to understand Alteryx use cases and migrate them to Dataiku. Join Novartis in reimagining medicine to improve and extend people's lives. Be part of a diverse and inclusive work environment where your contributions drive us closer to our ambitions. If you are detail-oriented, customer-focused, and thrive in a fast-paced environment, consider joining our team to create a brighter future together. Learn more about Novartis's commitment to diversity and inclusion and explore career opportunities by joining the Novartis Network. Find out how you can thrive personally and professionally with our benefits and rewards. Join us in transforming healthcare and making a difference in patients" lives. (Note: This is a full-time regular position based in Hyderabad, India.),

As a Data Processing Specialist at our organization, you will collaborate effectively with our Customer Service Representatives and Client Success leaders. Your primary responsibilities will include processing requests for changes to users, setting up reporting and tools for new users, conducting quality checks for new setups, monitoring and resolving issues related to inbound data feeds, and ensuring timely completion of reports. This role requires you to work full-time in an evening shift schedule. A Bachelor's degree is preferred along with a minimum of 2 years of total work experience, specifically in customer service. Proficiency in English is required, while knowledge of Hindi is considered a plus. In this position, you will be an integral part of our Customer Success department, operating remotely from India. Your contributions will directly impact the success of our team and the satisfaction of our clients.,

You are a highly skilled Senior AI/ML Engineer with expertise in Natural Language Processing (NLP) and predictive AI models. Your passion lies in building intelligent systems that improve user experiences through voice recognition and financial insights. You excel in dynamic environments and enjoy leading AI/ML initiatives, making you an ideal fit for our team. Your responsibilities will include developing NLP models for voice recognition and natural interaction, designing and implementing predictive AI models for cash flow optimization and financial forecasting, building and fine-tuning machine learning models to provide real-time, actionable insights, and continuously improving AI systems through iterative learning and feedback. Collaboration with cross-functional teams to integrate AI capabilities into user-centric applications will also be a key part of your role. To excel in this position, you should have at least 5 years of experience in AI/ML, with a strong focus on NLP and deep learning. Proficiency in Python, TensorFlow/PyTorch, and familiarity with Hugging Face is required. Your ability to design, train, and deploy AI/ML models in real-world applications, along with a strong understanding of data processing, model optimization, and scalability, will be crucial for success. As a leader, you will embody the following principles: - Customer-First Mindset: Build AI solutions that intuitively respond to user needs. - Iterative Learning: Continuously refine models based on real-world feedback. - Collaboration: Lead AI/ML initiatives while empowering team members to innovate. Joining our team offers you the opportunity to work on cutting-edge AI technologies in a high-impact role, collaborate with a talented and passionate team, and shape the future of AI-driven financial and voice-based applications. If you are excited about building next-gen AI solutions, we encourage you to apply today!,

As an EDP Manager at Aakash Educational Services Limited (AESL), you will be responsible for various aspects of data processing, information technology, software installation, computer network operations, and project management on a day-to-day basis. Your role will be crucial in ensuring smooth operations and efficiency in the organization's processes, including Omr Scanning and Result Making. To excel in this role, you should possess strong Data Processing and Information Technology skills, along with proficiency in Advanced Excel and VLOOKUP. Additionally, you will be expected to have experience in Software Installation, Computer Network Operations, and Project Management. Your problem-solving and analytical abilities will be key in identifying and resolving any technical issues that may arise. Effective communication and leadership skills are essential for this position, as you will be collaborating with various teams and stakeholders within the organization. A Bachelor's degree in Computer Science, Information Technology, or a related field is required for this role. Any prior experience in the education sector would be considered a definite advantage. At Aakash, we believe in a Student First approach and provide innovative learning solutions to our students. If you are looking for a challenging opportunity that allows you to utilize your technical skills and contribute to the success of a leading test-prep company in India, then this role might be the perfect fit for you. The salary range for this position is between 15k to 18k, providing a competitive compensation package for the right candidate. If you meet the qualifications and are ready to take on this exciting role as an EDP Manager at Aakash Educational Services Limited, we encourage you to apply and be part of our dynamic team.,

As a dynamic B2B SaaS platform startup, Josys is dedicated to revolutionizing IT operations globally. Following an exceptional launch in Japan and securing $125 million in Series A and B funding, Josys aims to simplify, optimize, and secure IT operations for businesses amid the complexities of work-from-anywhere setups, rapid digital transformation, and the proliferation of SaaS applications. With a presence in 9 countries, including Japan, India, and the USA, Josys operates its cutting-edge product technology center in Bengaluru, India. As part of its rapid expansion, Josys plans to double its full-time employee headcount in 2024 to enhance innovation and delivery capabilities. Josys, spun off from RAKSUL, a celebrated Japanese unicorn and Forbes Startup of the Year 2018, is renowned for driving transformation through three pioneering B2B e-commerce platforms. **Role Summary:** This senior role requires a professional with extensive experience in Node.js Backend Architecture. In this position, you will design and implement scalable, high-performance, and reliable backend systems within a matrix organization. Collaborating with cross-functional teams, including front-end developers, product managers, and data scientists, you will lead the technical design and development of backend services to ensure successful project delivery. To excel in this role, you must demonstrate a strong understanding of software architecture and design principles, along with experience in working on B2B SaaS applications. Candidates are expected to have expertise in scaling applications and systems, particularly in building cloud-native SaaS applications in scenarios of rapid growth. **Key Responsibilities:** - Architect and design scalable, reliable, and high-performance backend systems using Node.js - Collaborate with cross-functional teams to analyze requirements and align them with business objectives - Develop solutions for data storage, retrieval, and processing - Build RESTful APIs and web services to facilitate seamless communication between frontend and backend systems - Ensure security, reliability, and fault tolerance of backend systems - Create technical documentation, including architecture diagrams, data models, and API specifications - Mentor and guide junior developers, ensuring adherence to best practices and standards - Design and develop integrations with third-party SaaS applications using SDKs and REST APIs - Implement secure and efficient data exchange mechanisms with third-party systems - Stay updated with SaaS integration technologies and incorporate advancements into solutions - Design and develop Elasticsearch-based search and data querying solutions, integrating them with GraphQL APIs **Ideal Profile:** - Degree in Engineering from a top-tier institute with a minimum of 15 years of experience, including 5 years as a software architect - Extensive experience in designing and developing backend systems using Node.js, Express.js, and MongoDB - Strong knowledge of microservices architecture, RESTful API design principles, and cloud-based infrastructure such as AWS - Proficiency in database technologies, including relational and NoSQL databases - Familiarity with containerization technologies like Docker and Kubernetes - Strong fundamentals in computer science and logical thinking - Experience in Agile methodologies and working in Agile development environments - Excellent communication and collaboration skills, with the ability to lead and mentor junior developers **What's on Offer ** - Opportunity to contribute to a next-gen AWS and MERN-based platform and lead a shift to a Microservices architecture - Competitive remuneration and excellent career development opportunities Josys offers a challenging yet rewarding environment for professionals aspiring to drive innovation and transformation in the realm of IT operations.,

You are being sought after to fill the role of a Computer Operator/Non-Voice at our office. Your responsibilities will include managing routine computer operations and data processing tasks without voice interactions. Your duties will encompass daily administrative tasks, ensuring accurate data processing, system management, and aiding in the seamless running of office operations. This role necessitates working at the office location. Your tasks will involve overseeing the operation of computer systems daily to guarantee smooth functioning without interruptions. You will be responsible for monitoring and operating multiple computer systems to ensure they are functioning correctly and promptly addressing any technical issues that arise. Additionally, you will need to ensure that system backups and scheduled maintenance tasks are carried out without disruptions. Your role will also require you to input, manage, and update data accurately into various systems, databases, and spreadsheets. You will be responsible for verifying data for errors and discrepancies, as well as organizing and maintaining files and records for easy accessibility when needed. In case of minor technical issues, you will assist in troubleshooting software or hardware-related problems. For more complex technical issues or system failures, you will coordinate with the IT department. It is essential to swiftly resolve any downtime or errors to prevent workflow disruptions. Maintaining logs of computer operations and activities for auditing and operational purposes will be part of your duties. You will prepare regular reports on the status of computer systems, data processing, and any encountered issues. Effective communication with the management team regarding concerns or improvements needed for system performance is crucial. You will have the opportunity to suggest process improvements and tools to enhance operational efficiency. Participating in training sessions to stay updated on new software or processes that could improve day-to-day operations will be beneficial. As part of your role, you will provide general administrative support to the team as required. This includes managing email correspondence, scheduling, and record maintenance. Additionally, you will ensure that all office-related documentation is correctly organized and filed. To be eligible for this position, you should possess a high school diploma or equivalent. A degree or certification in IT, Computer Science, or a related field is a plus. Basic knowledge of computer systems, operating systems (e.g., Windows, Mac OS), and MS Office (Excel, Word, etc.) is required. Strong attention to detail, problem-solving skills, organizational skills, good communication skills, and reliability are also essential qualities. This role will be office-based with a standard workweek. The work environment is fast-paced, requiring you to handle multiple tasks and troubleshoot technical issues efficiently. The office is equipped with all the necessary tools and resources to ensure productivity. Salary and benefits will be based on experience, with details about health benefits, paid time off, etc. included in the compensation package. This position presents an exciting opportunity for individuals interested in technology, data processing, and system operations to contribute to a growing company. If you are proactive, meticulous, and passionate about supporting operations and systems, we welcome you to apply.,

The Account/Travel Specialist position in our Customer Experience team based in Noida requires a highly detail-oriented and trustworthy individual. As an Account/Travel Specialist, you will play a crucial role in managing new account creation, validating resale certificates, processing account updates, and coordinating company travel needs for events, shows, and markets. Your key responsibilities will include reviewing and processing new customer account requests accurately and efficiently, validating resale certificates to ensure compliance with internal policies, maintaining and updating customer records based on incoming requests, managing travel logistics for company events, shows, and market visits, ensuring data integrity and confidentiality across all account-related activities, collaborating with internal teams to support account and travel-related needs, and identifying process improvement opportunities to contribute to team efficiency. To excel in this role, you must possess exceptional attention to detail and strong organizational skills, the ability to think critically and respond quickly in dynamic situations, a high level of trustworthiness and discretion when handling sensitive data, the ability to work independently and manage multiple tasks effectively, and proficiency in basic analytical tasks and decision-making. Preferred qualifications include moderate analytical and problem-solving skills, as well as prior experience in customer service, data processing, or travel coordination roles. This is a full-time, permanent position with benefits such as health insurance and Provident Fund. The work schedule is during the day shift from Monday to Friday with a morning shift, and the work location is in person.,

You will be reporting to the Manager, TSE and working from the Pune office. As a seasoned Senior Business Intelligence Analyst, you will have the opportunity to apply your skills on a global scale by enhancing the customer journey and minimizing churn risk. Your role within the team will involve measuring important moments in the customer lifecycle and providing relevant insights to influence and empower teams across the organization. Your contributions will drive growth, empower teams to foster growth and usage, and deliver greater value to our customers. Your responsibilities will include focusing on delivery-related programs aligned with program goals, collaborating across departments to collect and analyze data, visualizing data using graphs and infographics, establishing KPIs to measure business decision effectiveness, structuring large datasets to extract usable information, working with a team of analysts to process data, creating presentations and reports based on findings, and partnering with stakeholders to identify and prioritize delivery enablement priorities. Additionally, you will participate in and sometimes promote regular syncs. In addition to a great compensation package, paid time off, and paid parental leave, Avalara offers various health and wellness benefits, including private medical, life, and disability insurance. Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into the business practices and organizational culture. The company also has 8 employee-run resource groups, each with senior leadership and exec sponsorship. Avalara, a billion-dollar business, is defining the relationship between tax and tech. With an industry-leading cloud compliance platform processing nearly 40 billion customer API calls and over 5 million tax returns a year, Avalara is on a mission to be part of every transaction in the world. The company fosters an inclusive culture and encourages innovation and disruption while empowering its employees to achieve success. Join Avalara, where your career will be as unique as the company itself. Avalara is an Equal Opportunity Employer.,

As a Python backend developer with experience in AWS services, your role will involve designing, implementing, and operating both streaming and batch pipelines that can scale effectively. You will collaborate with engineers and data analysts to create reliable datasets that are not only trustworthy but also easily understandable and accessible to the entire organization. Working in a fast-paced start-up environment, you will be expected to exhibit passion for your work and thrive in an international setting. While a background in the telecom industry is advantageous, it is not a mandatory requirement. Your responsibilities will include writing efficient lambda functions for lightweight data processing, as well as gathering requirements and devising solutions that prioritize simplicity of design, operational efficiency, and stakeholder considerations across various teams. Proficiency in the following technologies is essential for this role: - Decryption - Routing - Filtering - Python or Go - Data modeling - Iceberg on AWS S3 If you are someone who is adept at leveraging AWS services and has a strong foundation in Python development, this role offers an exciting opportunity to contribute to the development of robust data pipelines and datasets within a dynamic and innovative work environment.,