Laravel Developer Responsibilities: Discussing project aims with the client and development team. Designing and building web applications using Laravel. Troubleshooting issues in the implementation and debug builds. Working with front-end and back-end developers on projects. Testing functionality for users and the backend. Ensuring that integrations run smoothly. Scaling projects based on client feedback. Recording and reporting on work done in Laravel. Maintaining web-based applications. Presenting work in meetings with clients and management. Laravel Developer Requirements: A degree in programming, computer science, or a related field. Experience working with PHP, performing unit testing, and managing APIs such as REST. A solid understanding of application design using Laravel. Knowledge of database design and querying using SQL. Proficiency in HTML and JavaScript. Practical experience using the MVC architecture. A portfolio of applications and programs to your name. Problem-solving skills and critical mindset. Great communication skills. The desire and ability to learn. Job Type: Full-time Pay: From ₹15,000.00 per month Ability to commute/relocate: Rajkot, Gujarat: Reliably commute or planning to relocate before starting work (Required) Education: Bachelor's (Preferred) Experience: PHP: 1 year (Preferred) total work: 1 year (Preferred) software development: 1 year (Preferred) License/Certification: PHP (Preferred)

Experienced Laravel Developer (West Bengal Candidates apply only) Job description · Discussing project aims with the client and development team. · Designing and building web applications using Laravel. · Troubleshooting issues in the implementation and debug builds. · Working with back-end developers on projects. · Testing functionality for users and the backend. · Ensuring that integrations run smoothly. · Scaling projects based on client feedback. · Recording and reporting on work done in Laravel. · Maintaining web-based applications. · Presenting work in meetings with clients and management. Laravel Developer Requirements: · A degree in programming, computer science, or a related field. · Experience working with PHP, performing unit testing, and managing APIs such as REST. · A solid understanding of application design using Laravel. · Knowledge of database design and querying using SQL. · Proficiency in HTML and JavaScript. · A portfolio of applications and programs in your name. · Problem-solving skills and critical mind-sets. · Great communication skills. · The desire and ability to learn. · Problem-Solving Skill, Server Maintenance. Required Skill sets:- · The minimum experience required is 1-2 years · Experience in PHP 7+ and Laravel 6+ · Experience with React/ Angular / Node will be an added advantage. · Hands-on project experience in the Laravel framework. · Good knowledge of jQuery, Ajax, REST API · Proficiency in SQL scripting and MySQL 5. x. An advanced level of SQL (Stored Procedure/Trigger/Functions) will be an added advantage. · Good understanding of object-oriented principles and MVC design patterns. Role: Laravel Developer Industry Type: IT Services Education:-Post Graduate or graduate, BCA, MCA, Btech, Bsc , etc. Salary: Rs 13000 to Rs 18000 per month Email id:-talentacquisition@devantitsolutions.com Contact Number-7605083834 immediate joining Job Type: Full-time Pay: ₹13,000.00 - ₹18,000.00 per month Schedule: Day shift Fixed shift Supplemental Pay: Yearly bonus Experience: Laravel: 2 years (Preferred) Language: Bengali (Preferred) English (Preferred) Work Location: In person Application Deadline: 19/06/2025 Expected Start Date: 20/06/2025

As a Data Engineer , you are required to: Design, build, and maintain data pipelines that efficiently process and transport data from various sources to storage systems or processing environments while ensuring data integrity, consistency, and accuracy across the entire data pipeline. Integrate data from different systems, often involving data cleaning, transformation (ETL), and validation. Design the structure of databases and data storage systems, including the design of schemas, tables, and relationships between datasets to enable efficient querying. Work closely with data scientists, analysts, and other stakeholders to understand their data needs and ensure that the data is structured in a way that makes it accessible and usable. Stay up-to-date with the latest trends and technologies in the data engineering space, such as new data storage solutions, processing frameworks, and cloud technologies. Evaluate and implement new tools to improve data engineering processes. Qualification : Bachelor's or Master's in Computer Science & Engineering, or equivalent. Professional Degree in Data Science, Engineering is desirable. Experience level : At least 3 - 5 years hands-on experience in Data Engineering, ETL. Desired Knowledge & Experience : Spark: Spark 3.x, RDD/DataFrames/SQL, Batch/Structured Streaming Knowing Spark internals: Catalyst/Tungsten/Photon Databricks: Workflows, SQL Warehouses/Endpoints, DLT, Pipelines, Unity, Autoloader IDE: IntelliJ/Pycharm, Git, Azure Devops, Github Copilot Test: pytest, Great Expectations CI/CD Yaml Azure Pipelines, Continuous Delivery, Acceptance Testing Big Data Design: Lakehouse/Medallion Architecture, Parquet/Delta, Partitioning, Distribution, Data Skew, Compaction Languages: Python/Functional Programming (FP) SQL: TSQL/Spark SQL/HiveQL Storage: Data Lake and Big Data Storage Design additionally it is helpful to know basics of: Data Pipelines: ADF/Synapse Pipelines/Oozie/Airflow Languages: Scala, Java NoSQL: Cosmos, Mongo, Cassandra Cubes: SSAS (ROLAP, HOLAP, MOLAP), AAS, Tabular Model SQL Server: TSQL, Stored Procedures Hadoop: HDInsight/MapReduce/HDFS/YARN/Oozie/Hive/HBase/Ambari/Ranger/Atlas/Kafka Data Catalog: Azure Purview, Apache Atlas, Informatica Required Soft skills & Other Capabilities : Great attention to detail and good analytical abilities. Good planning and organizational skills Collaborative approach to sharing ideas and finding solutions Ability to work independently and also in a global team environment. Show more Show less

Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business questions Create Proof of concepts (POCs) / Minimum Viable Products (MVPs), then guide them through to production deployment and operationalization of projects Influence machine learning strategy for Digital programs and projects Make solution recommendations that appropriately balance speed to market and analytical soundness Explore design options to assess efficiency and impact, develop approaches to improve robustness and rigor Develop analytical / modelling solutions using a variety of commercial and open-source tools (e.g., Python, R, TensorFlow) Formulate model-based solutions by combining machine learning algorithms with other techniques such as simulations Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories Create algorithms to extract information from large, multiparametric data sets Deploy algorithms to production to identify actionable insights from large databases Compare results from various methodologies and recommend optimal techniques Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories Develop and embed automated processes for predictive model validation, deployment, and implementation Work on multiple pillars of AI including cognitive engineering, conversational bots, and data science Ensure that solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment Lead discussions at peer review and use interpersonal skills to positively influence decision making Provide thought leadership and subject matter expertise in machine learning techniques, tools, and concepts; make impactful contributions to internal discussions on emerging practices Facilitate cross-geography sharing of new ideas, learnings, and best-practices Requirements Bachelor of Science or Bachelor of Engineering at a minimum. 4+ years of work experience as a Data Scientist A combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to quickly cycle hypothesis through the discovery phase of a project Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL, Hadoop/Hive, Scala) Good hands-on skills in both feature engineering and hyperparameter optimization Experience producing high-quality code, tests, documentation Experience with Microsoft Azure or AWS data management tools such as Azure Data factory, data lake, Azure ML, Synapse, Databricks Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine learning algorithms, optimization & forecasting techniques, and / or deep learning methodologies Proficiency in statistical concepts and ML algorithms Good knowledge of Agile principles and process Ability to lead, manage, build, and deliver customer business results through data scientists or professional services team Ability to share ideas in a compelling manner, to clearly summarize and communicate data analysis assumptions and results Self-motivated and a proactive problem solver who can work independently and in teams Show more Show less

Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business questions Create Proof of concepts (POCs) / Minimum Viable Products (MVPs), then guide them through to production deployment and operationalization of projects Influence machine learning strategy for Digital programs and projects Make solution recommendations that appropriately balance speed to market and analytical soundness Explore design options to assess efficiency and impact, develop approaches to improve robustness and rigor Develop analytical / modelling solutions using a variety of commercial and open-source tools (e.g., Python, R, TensorFlow) Formulate model-based solutions by combining machine learning algorithms with other techniques such as simulations Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories Create algorithms to extract information from large, multiparametric data sets Deploy algorithms to production to identify actionable insights from large databases Compare results from various methodologies and recommend optimal techniques Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories Develop and embed automated processes for predictive model validation, deployment, and implementation Work on multiple pillars of AI including cognitive engineering, conversational bots, and data science Ensure that solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment Lead discussions at peer review and use interpersonal skills to positively influence decision making Provide thought leadership and subject matter expertise in machine learning techniques, tools, and concepts; make impactful contributions to internal discussions on emerging practices Facilitate cross-geography sharing of new ideas, learnings, and best-practices Requirements Bachelor of Science or Bachelor of Engineering at a minimum. 4+ years of work experience as a Data Scientist A combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to quickly cycle hypothesis through the discovery phase of a project Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL, Hadoop/Hive, Scala) Good hands-on skills in both feature engineering and hyperparameter optimization Experience producing high-quality code, tests, documentation Experience with Microsoft Azure or AWS data management tools such as Azure Data factory, data lake, Azure ML, Synapse, Databricks Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine learning algorithms, optimization & forecasting techniques, and / or deep learning methodologies Proficiency in statistical concepts and ML algorithms Good knowledge of Agile principles and process Ability to lead, manage, build, and deliver customer business results through data scientists or professional services team Ability to share ideas in a compelling manner, to clearly summarize and communicate data analysis assumptions and results Self-motivated and a proactive problem solver who can work independently and in teams Show more Show less

Job Description We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the Asset & Wealth Management, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Job Responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect Required Qualifications, Capabilities, And Skills Formal training or certification on software engineering concepts and 3+ years applied experience Hands-on practical experience in Java / J2EE, React, Angular, Javascript, HTML, Oracle. Spring Framework - Spring Boot , Spring Cloud, Spring Security, Spring JPA Hibernate Agile software development methodology and tools. Experience in development tools such as IntelliJ IDEA, Maven, BitBucket/Git. Testing frameworks like JUnit and Mockito. Experience in automated testing - Test Driven Development (TDD), Acceptance TDD (Cucumber/FitNesse). Experience in Micro Services Architecture, in Cloud/Container. Domain Driven Design knowledge. Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred Qualifications, Capabilities, And Skills Debugging, profiling and tuning applications’ performance (JVisualVM). Knowledge on Application monitoring tools like AppDynamics. Knowledge on Kubernetes Platform or similar. Auto-deployment tools and Continuous Integration Tools (Jenkins) Knowledge on software security vulnerabilities ABOUT US Show more Show less

CSQ326R35 The Machine Learning (ML) Practice team is a highly specialized customer-facing ML team at Databricks facing an increasing demand for Large Language Model (LLM)-based solutions. We deliver professional services engagements to help our customers build, scale, and optimize ML pipelines, as well as put those pipelines into production. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in LLMs, MLOps, and ML more broadly. This role can be remote. The Impact You Will Have Develop LLM solutions on customer data, such as RAG architectures on enterprise knowledge repos, querying structured data with natural language, and content generation Help customers solve tough problems across industries like Health and Life Sciences, Finance, Retail, Startups, and many others Build, scale, and optimize customer data science workloads across industries and apply best-in-class MLOps to productionize these workloads Advise data teams on data science architecture, tooling, and best practices Provide thought leadership by presenting at conferences such as Data+AI Summit and mentoring the larger ML SME community in Databricks Collaborate cross-functionally with the product and engineering teams to define priorities and influence the product roadmap What We Look For Experience in building Generative AI applications, including RAG, agents, Text2SQL, fine-tuning, and deploying LLMs, using tools such as HuggingFace, Langchain, and OpenAI 4-10 years of hands-on industry data science experience, leveraging typical machine learning and data science tools including pandas, MLflow, scikit-learn, and PyTorch Experience in building production-grade ML or GenAI deployments on AWS, Azure, or GCP. Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience Experience in communicating and teaching technical concepts to both non-technical and technical audiences Passion for collaboration, life-long learning, and driving business value through ML [Preferred] Experience working with Databricks and Apache Spark™ About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Show more Show less

Job Summary- Effectively facilitate meetings and brainstorming sessions with business as well as the technical team. Require strategic design and mapping of business requirements & solutions to system/technical requirements. Examine functional product requirements and breakdown the requirements into details technical stories and tasks Construct Use case diagrams and workflow charts, to help clarify and elaborate upon technical requirements. Identify and engage all key stakeholders, contributors, business, and technical resources required for product updates and ensure contributors are motivated to complete tasks within the parameters of the requirements Work with the entire team and customers to resolve any conflicts or confusion related to requirements or desired functionality Responsibilities - Effectively collaborate with Technical and Non-Technical team members and customers. Oversees and take ownership for the successful completion of the assigned project. Lead the ERP level project development efforts with minimal direction from the director or manager. Effectively facilitate meetings, brainstorming sessions to build consensus within customers representatives and in the technical team (development + QA) Create detailed documentation covering use cases and business requirements. Scrum planning Reporting to management and obtaining approval before taking any key project decision. Provide guidance to technical teams regarding functional requirements. Ensure & validate that delivered functionality meets customer’s expectation. Coordinate UAT efforts. Demo the released features/application to customers. Key Skills: (must have) 3+ years’ work experience in end to end systems development process. Excellent verbal and written communication skills. Must have good listening skills. Knowledge and experience in using Postman tool for APIs Extensive knowledge of relevant technology concepts (e.g. client-server, relational databases, cloud-based and web-based architectures) Basic competence in at least one programming language (e.g. C#, node.js, JavaScript, or PHP etc.) Basic understanding of the implementation of ERP or CRM systems. Ability to quickly assimilate and apply business models and technologies. Team player with strong interpersonal skills and the ability to lead the team when required. Proactive risk analysis in the project and providing steps to customer/internal dev team to mitigate the risk. Must have an extensive working knowledge of Business Intelligence concepts (e.g. reporting, querying software, OLAP, spreadsheets, dashboards, and data mining) Knowledge and experience with service/API patterns including protocols and formats such as SOAP, REST, XML, and SWAGGER. Strong communication skills, including prioritizing, problem-solving and interpersonal relationship building Extensive Experience in technical business analysis. Advanced knowledge of programming languages like SQL and system integration solutions Proven time management cum organization skills (must be able to prioritize workload and meet deadlines). Must have excellent ideas presentation skills through PPT or Word. Addon Skills Experience in BFSI (Banking, Finance & Insurance) domain. Knowledge of Information Security/Identity management Understanding of Testing methodology and processes. Show more Show less

Job Title: Business Analyst (IT Domain – ERP & Complex Systems) Experience: 5 to 7 Years Location: Mumbai / Pune (Onsite) Employment Type: Full-Time Job Summary: We are looking for a dynamic and detail-oriented IT Business Analyst with 5–7 years of experience to join our team onsite in Mumbai or Pune. The ideal candidate must have hands-on experience in working with ERP or complex systems (excluding Insurance, Banking, Healthcare, and LMS domains) and demonstrate excellent skills in bridging business requirements with technical solutions in an Agile/Scrum environment. Key Responsibilities: Understand business needs and translate them into detailed use cases, user stories, and tasks . Liaise between clients, development teams, UX, QA, and support teams to ensure seamless communication and solution delivery. Prepare BRDs, functional specifications, flow diagrams , and support documents for development and QA teams. Collaborate closely with the UX/UI team to review and improve user experience and interface designs. Conduct and manage sprint planning, daily scrums , and proactively identify blockers. Manage and control scope changes , and maintain consistent progress reporting to stakeholders. Conduct UAT, product demos , and provide post-go-live support for issue resolution. Monitor testing tasks, audit deliverables, and ensure quality and compliance throughout the SDLC. Provide responses to routine client queries and follow up for resolution. Required Skills and Experience: 5+ years of experience as a Business Analyst in IT projects. Strong understanding of SDLC , Agile/Scrum methodologies. Proficient in using tools like Jira for backlog and project tracking. Experience with Web and Windows-based applications . Familiarity with SQL or similar querying tools for data analysis. Strong analytical, verbal, and written communication skills . Show more Show less

Required Skills/Experience Your drive, knowledge, and commitment will help us become the number one cloud company in the world. We also look for: You possess experience in end-to-end Development and / or Implementation and / or Support activities covering expertise areas such as design of customizations, Coding and Unit testing, completing Test cycle rounds including End of Days, migrations, and Integrations for Oracle FLEXCUBE / Core banking products You possess knowledge and skills in software programming in Core Java, J2EE, Microservices related technologies, Spring Boot, Rest API, JavaScript, XML. Experience in Oracle SQL, PL/SQL and Oracle Database (18c or 12c) is a plus. Experience of 3 to 15 years Should hold a bachelor’s degree in computer science or equivalent degree You have solid understanding of Release management and Source control tools You should be able to perform Issue Tracking on Application and follow-up for resolution of same with collaborators You possess good client interaction skills in areas including presentation of solutions You have exposure to software deployment and fixing on Application Server software especially Oracle Weblogic You have exposure to analysis of Oracle Database AWR/ADDM reports and fixing of database performance issues. You have awareness of banking terminologies and concepts You possess IT skills including Microsoft Office, Basic SQL querying Show more Show less

Laravel Developer Responsibilities: Discussing project aims with the client and development team. Designing and building web applications using Laravel. Troubleshooting issues in the implementation and debug builds. Working with front-end and back-end developers on projects. Testing functionality for users and the backend. Ensuring that integrations run smoothly. Scaling projects based on client feedback. Recording and reporting on work done in Laravel. Maintaining web-based applications. Presenting work in meetings with clients and management. Laravel Developer Requirements: A degree in programming, computer science, or a related field. Experience working with PHP, performing unit testing, and managing APIs such as REST. A solid understanding of application design using Laravel. Knowledge of database design and querying using SQL. Proficiency in HTML and JavaScript. Practical experience using the MVC architecture. A portfolio of applications and programs to your name. Problem-solving skills and critical mindset. Great communication skills. The desire and ability to learn. Job Type: Full-time Pay: From ₹15,000.00 per month Ability to commute/relocate: Rajkot, Gujarat: Reliably commute or planning to relocate before starting work (Required) Education: Bachelor's (Preferred) Experience: PHP: 1 year (Preferred) total work: 1 year (Preferred) software development: 1 year (Preferred) License/Certification: PHP (Preferred)

Job Description About KPMG in India KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment. NA Equal employment opportunity information KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you. Job Title: Junior Data Analyst 📍 Location: Bengaluru, Karnataka 🕒 Employment Type: Full-Time 💼 Experience Level: 0–2 years Job Description: We are seeking a detail-oriented and analytical Junior Data Analyst to join our team in Pune. As a Junior Data Analyst, you will work closely with cross-functional teams to support business decisions through data collection, analysis, and reporting. This is an excellent opportunity for fresh graduates or early-career professionals with strong analytical skills and a passion for working with data. Key Responsibilities: Collect, clean, and organize data from internal and external sources. Assist in developing dashboards, reports, and visualizations using tools like Excel, Tableau, or Power BI. Perform basic statistical analysis to identify trends and patterns. Work with senior analysts and stakeholders to understand business requirements. Maintain and update databases and reporting systems. Document processes, analyses, and findings for internal use. Required Skills & Qualifications: Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, or related field. Strong knowledge of MS Excel (pivot tables, vlookups, charts). Familiarity with SQL for data querying and extraction. Basic knowledge of data visualization tools like Tableau , Power BI , or Google Data Studio . Understanding of statistics and data modeling concepts. Strong problem-solving skills and attention to detail. Good communication and presentation skills. Preferred Skills (Good to Have): Experience with Python or R for data manipulation. Exposure to data warehousing concepts or tools (e.g., Snowflake, BigQuery). Internship or project experience in data analysis. Tilak Sonawane https://www.linkedin.com/in/tilak-sonawane-02b535227/ Show more Show less

Experienced Laravel Developer (West Bengal Candidates apply only) Job description · Discussing project aims with the client and development team. · Designing and building web applications using Laravel. · Troubleshooting issues in the implementation and debug builds. · Working with back-end developers on projects. · Testing functionality for users and the backend. · Ensuring that integrations run smoothly. · Scaling projects based on client feedback. · Recording and reporting on work done in Laravel. · Maintaining web-based applications. · Presenting work in meetings with clients and management. Laravel Developer Requirements: · A degree in programming, computer science, or a related field. · Experience working with PHP, performing unit testing, and managing APIs such as REST. · A solid understanding of application design using Laravel. · Knowledge of database design and querying using SQL. · Proficiency in HTML and JavaScript. · A portfolio of applications and programs in your name. · Problem-solving skills and critical mind-sets. · Great communication skills. · The desire and ability to learn. · Problem-Solving Skill, Server Maintenance. Required Skill sets:- · The minimum experience required is 1-2 years · Experience in PHP 7+ and Laravel 6+ · Experience with React/ Angular / Node will be an added advantage. · Hands-on project experience in the Laravel framework. · Good knowledge of jQuery, Ajax, REST API · Proficiency in SQL scripting and MySQL 5. x. An advanced level of SQL (Stored Procedure/Trigger/Functions) will be an added advantage. · Good understanding of object-oriented principles and MVC design patterns. Role: Laravel Developer Industry Type: IT Services Education:-Post Graduate or graduate, BCA, MCA, Btech, Bsc , etc. Salary: Rs 13000 to Rs 18000 per month Email id:-talentacquisition@devantitsolutions.com Contact Number-7605083834 immediate joining Job Type: Full-time Pay: ₹13,000.00 - ₹18,000.00 per month Schedule: Day shift Fixed shift Supplemental Pay: Yearly bonus Experience: Laravel: 2 years (Preferred) Language: Bengali (Preferred) English (Preferred) Work Location: In person Application Deadline: 19/06/2025 Expected Start Date: 20/06/2025

Job Role ‍ Very good knowledge of Log analysing & monitoring tools like Prometheus, Loki, Dynatrace, Grafana & SolarWinds. Understanding of Infrastructure environments Cloud, VMware, storage, networks, databases, etc. ‍ What you'll be responsible for? ‍ Design and development of security policies, standards, and procedures in accordance with organization goals. Responsible for proactive monitoring of alerts (Network, Infra, Applications) and taking corrective actions. Responsible for Incident Management life cycle & Service requests fulfilment Responsible for Incident logging, accurately tracks and documents all incidents. Adherence to the process compliance Adherence to the SLAs defined for the platform, Service uptime. Coordination with cross-group peers both proactively and reactively produces quality documentation and share with the appropriate team members. Responsible to develop SOP documents. Ability to deep dive into identifying the root cause of various service-impacting events and optimizing. Act as a First Point of Contact for incidents, escalations, and business-impacting technology issues To ensure the maximum possible service availability and performance of the platforms Responsible for continuous improvement of the process science. ‍ Qualification and other skills ‍ Experience of 5- 8 years in NOC Experience in Alert/Incident Management and a good understanding of SLAs Troubleshooting, Problem-solving & Strong presentation skills Analytical and communication skills ‍ What you'd have? ‍ Strong knowledge of Linux, Network & database querying Knowledge of asset management Very good knowledge of Log analysing & monitoring tools like Prometheus, Loki, Dynatrace, Grafana & SolarWinds Understanding of Infrastructure environments Cloud, VMware, storage, networks, databases, etc. Strong Linux, Networking, Log analysing, and database querying skills. Must have experience with monitoring tools like Prometheus, Loki, Grafana, and Dynatrace & building monitoring dashboards. Experience in alerts mitigation & optimization - Knowledge of the ITIL framework Hands-on exp with observability tools will be an added advantage. Must have expertise in maintaining/updating asset management. Certifications: ITIL foundation, AZ-900, Shell Scripting, Python, Hardware & networking. ‍ Why join us? ‍ Impactful Work: Play a pivotal role in safeguarding Tanla's assets, data, and reputation in the industry. Tremendous Growth Opportunities: Be part of a rapidly growing company in the telecom and CPaaS space, with opportunities for professional development. Innovative Environment: Work alongside a world-class team in a challenging and fun environment, where innovation is celebrated. Tanla is an equal opportunity employer. ‍ We champion diversity and are committed to creating an inclusive environment for all employees ‍ https://www.tanla.com ‍ Show more Show less

📊 Business Analytics Intern (Remote) Company: Coreline Solutions Type: Internship (3 to 6 Months) Mode: 100% Remote Stipend: Unpaid 🌐 About Us Coreline Solutions is a modern digital consulting and tech company focused on delivering smart, data-driven solutions. We specialize in software development, data science, business intelligence, and digital transformation. Our goal is to empower businesses through strategic use of data and technology. We're now offering a Business Analytics Internship for individuals eager to explore how data influences decisions in real-world business environments. 🎯 About the Internship As a Business Analytics Intern, you’ll work closely with data, operations, and strategy teams to analyze trends, identify business opportunities, and support data-driven decision-making. This is a fully remote internship designed to provide you with real exposure to business analytics tools, reporting methods, and data storytelling. 📌 Key Responsibilities Analyze and interpret business data using tools such as Excel, SQL, or Python Create dashboards and visualizations using Power BI or Tableau Assist in preparing weekly/monthly reports and business summaries Support teams in identifying KPIs and tracking performance metrics Conduct competitor and market research to guide strategy Help translate data into clear insights and action plans ✅ What We’re Looking For Currently pursuing or recently completed a degree in Business Analytics, Data Science, Statistics, Economics, or a related field Strong analytical skills and knowledge of Excel (formulas, pivot tables, charts) Familiarity with SQL or Python for basic data querying and analysis Ability to create and interpret data visualizations Attention to detail and curiosity to ask “why” behind the numbers Good written and verbal communication skills 💡 Bonus Skills (Preferred but Not Required) Experience with BI tools like Power BI, Tableau, or Google Data Studio Exposure to CRM or business platforms (Salesforce, Zoho, etc.) Understanding of A/B testing, forecasting, or financial modeling 🎁 What You’ll Gain Hands-on experience with real business data and reporting tools Mentorship from business analysts and strategy consultants Internship Certificate upon successful completion Letter of Recommendation for top performers Potential consideration for full-time placement after internship 🤝 Our Commitment Coreline Solutions is proud to be an equal opportunity organization that values diversity, inclusion, and innovation. We treat all personal data responsibly in accordance with LinkedIn’s Privacy Policy and Professional Community Policies. 📬 How to Apply Send your updated resume and a short cover message to: 📩 hr@corelinesolutions.site Subject Line: “Application – Business Analytics Intern – [Your Full Name]” 📌 Tip: Highlight any academic or freelance projects that show your data and business analysis skills. Show more Show less

Avant de postuler à un emploi, sélectionnez votre langue de préférence parmi les options disponibles en haut à droite de cette page. Découvrez votre prochaine opportunité au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunités innovantes, découvrez notre culture enrichissante et travaillez avec des équipes talentueuses qui vous poussent à vous développer chaque jour. Nous savons ce qu’il faut faire pour diriger UPS vers l'avenir : des personnes passionnées dotées d’une combinaison unique de compétences. Si vous avez les qualités, de la motivation, de l'autonomie ou le leadership pour diriger des équipes, il existe des postes adaptés à vos aspirations et à vos compétences d'aujourd'hui et de demain. Job Summary Fiche de poste : This position provides leadership in the design, development and implementation of complex algorithms and advanced analytics models and solutions to yield predictive and prescriptive insights from large volume of structured and unstructured data. This position uses knowledge and expertise in analytical approaches and advanced computing methods to evaluate, estimate and run models that drive insights and empowers confidence in business decisions. This position operates and leads within a highly collaborative environment of fellow data scientists, data engineers, domain business and data leaders during every phase of the advanced analytics activities and tasks. This position guides and influences department and project teams in identifying and managing data and model management challenges and risks by facilitating collaboration with various stakeholders. This position may supervise people within the department. Responsibilities Engages and collaborates with business leaders across the organization to help assess business needs and define research questions. Develops hypotheses, approaches (i.e., analytic plans and model development process), models, and solutions to solve problems and increase profitability. Builds models and tools using technical knowledge in machine learning, statistical modeling, probability and decision theory, and other quantitative techniques. Examines the business reality behind large sets of data and develops the appropriate method and direction to derive meaningful insights and deliver data solutions to business problems. Creates innovative procedures by adapting emerging tools and technologies to new modeling techniques and procedures. Improves upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters using Cloud-AI technologies. Communicates with business customers and the leadership team, who have various levels of technical knowledge, and educates them about our systems, insights, and recommendations that can inform business strategies. Develops strategy to monitor model and system performance/integrity and supports the analysis and integration of tools and methods to provide desired optimal results from models. Manages analytics projects/teams and serves as a point of contact for teams when multiple units are assigned to the same project to ensure team actions remain in synergy while communicating with stakeholders to keep the project aligned with goals. Acts as a project manager (as needed) of an analytics project and/or teams, responsible for the planning, procurement, quality control and execution of all components and resources needed to support the execution of data and analytics project Serves as a point of contact for teams when multiple units are assigned to the same project to ensure team actions remain in synergy while communicating with stakeholders to keep the project aligned with goals. Qualifications Requirements: Ability to engage key business and executive-level stakeholders to translate business problems to high level analytics solution approach. Extensive experience working with large-scale, complex datasets to create/optimize machine learning, predictive, forecasting, and/or optimization models. Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment Strong proficiency in data management pipelines involving data extraction, analysis and transformation using either data querying languages (SQL,NoSQL, BQ), or scripting languages (e.g. Python, R) and/or statistical/mathematical software (e.g. R, Matlab, SAS). Hands-on experience in launching moderate to large scale advanced analytics projects in production at scale; adapts available Cloud-AI technologies and machine learning frameworks with or without the use of enterprise data science platforms. Direct experience in developing analytical solutions that empowers business decisions and product creation using various set of techniques (Supervised, Unsupervised, Deep Learning, NLP, Neural Networks, Graphs) Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists, engineering teams as well business audiences. Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audience. Proven ability to convey rigorous technical concepts and considerations to non-experts, as well as strong analytical skills, attention to detail. Master’s degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Type De Contrat en CDI Chez UPS, égalité des chances, traitement équitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attachés. Show more Show less

Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description Job Summary This position provides leadership in the design, development and implementation of complex algorithms and advanced analytics models and solutions to yield predictive and prescriptive insights from large volume of structured and unstructured data. This position uses knowledge and expertise in analytical approaches and advanced computing methods to evaluate, estimate and run models that drive insights and empowers confidence in business decisions. This position operates and leads within a highly collaborative environment of fellow data scientists, data engineers, domain business and data leaders during every phase of the advanced analytics activities and tasks. This position guides and influences department and project teams in identifying and managing data and model management challenges and risks by facilitating collaboration with various stakeholders. This position may supervise people within the department. Responsibilities Engages and collaborates with business leaders across the organization to help assess business needs and define research questions. Develops hypotheses, approaches (i.e., analytic plans and model development process), models, and solutions to solve problems and increase profitability. Builds models and tools using technical knowledge in machine learning, statistical modeling, probability and decision theory, and other quantitative techniques. Examines the business reality behind large sets of data and develops the appropriate method and direction to derive meaningful insights and deliver data solutions to business problems. Creates innovative procedures by adapting emerging tools and technologies to new modeling techniques and procedures. Improves upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters using Cloud-AI technologies. Communicates with business customers and the leadership team, who have various levels of technical knowledge, and educates them about our systems, insights, and recommendations that can inform business strategies. Develops strategy to monitor model and system performance/integrity and supports the analysis and integration of tools and methods to provide desired optimal results from models. Manages analytics projects/teams and serves as a point of contact for teams when multiple units are assigned to the same project to ensure team actions remain in synergy while communicating with stakeholders to keep the project aligned with goals. Acts as a project manager (as needed) of an analytics project and/or teams, responsible for the planning, procurement, quality control and execution of all components and resources needed to support the execution of data and analytics project Serves as a point of contact for teams when multiple units are assigned to the same project to ensure team actions remain in synergy while communicating with stakeholders to keep the project aligned with goals. Qualifications Requirements: Ability to engage key business and executive-level stakeholders to translate business problems to high level analytics solution approach. Extensive experience working with large-scale, complex datasets to create/optimize machine learning, predictive, forecasting, and/or optimization models. Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment Strong proficiency in data management pipelines involving data extraction, analysis and transformation using either data querying languages (SQL,NoSQL, BQ), or scripting languages (e.g. Python, R) and/or statistical/mathematical software (e.g. R, Matlab, SAS). Hands-on experience in launching moderate to large scale advanced analytics projects in production at scale; adapts available Cloud-AI technologies and machine learning frameworks with or without the use of enterprise data science platforms. Direct experience in developing analytical solutions that empowers business decisions and product creation using various set of techniques (Supervised, Unsupervised, Deep Learning, NLP, Neural Networks, Graphs) Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists, engineering teams as well business audiences. Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audience. Proven ability to convey rigorous technical concepts and considerations to non-experts, as well as strong analytical skills, attention to detail. Master’s degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Employee Type Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation. Show more Show less

Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description Job Summary This position provides leadership in the design, development and implementation of complex algorithms and advanced analytics models and solutions to yield predictive and prescriptive insights from large volume of structured and unstructured data. This position uses knowledge and expertise in analytical approaches and advanced computing methods to evaluate, estimate and run models that drive insights and empowers confidence in business decisions. This position operates and leads within a highly collaborative environment of fellow data scientists, data engineers, domain business and data leaders during every phase of the advanced analytics activities and tasks. This position guides and influences department and project teams in identifying and managing data and model management challenges and risks by facilitating collaboration with various stakeholders. This position may supervise people within the department. Responsibilities Engages and collaborates with business leaders across the organization to help assess business needs and define research questions. Develops hypotheses, approaches (i.e., analytic plans and model development process), models, and solutions to solve problems and increase profitability. Builds models and tools using technical knowledge in machine learning, statistical modeling, probability and decision theory, and other quantitative techniques. Examines the business reality behind large sets of data and develops the appropriate method and direction to derive meaningful insights and deliver data solutions to business problems. Creates innovative procedures by adapting emerging tools and technologies to new modeling techniques and procedures. Improves upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters using Cloud-AI technologies. Communicates with business customers and the leadership team, who have various levels of technical knowledge, and educates them about our systems, insights, and recommendations that can inform business strategies. Develops strategy to monitor model and system performance/integrity and supports the analysis and integration of tools and methods to provide desired optimal results from models. Manages analytics projects/teams and serves as a point of contact for teams when multiple units are assigned to the same project to ensure team actions remain in synergy while communicating with stakeholders to keep the project aligned with goals. Acts as a project manager (as needed) of an analytics project and/or teams, responsible for the planning, procurement, quality control and execution of all components and resources needed to support the execution of data and analytics project Serves as a point of contact for teams when multiple units are assigned to the same project to ensure team actions remain in synergy while communicating with stakeholders to keep the project aligned with goals. Qualifications Requirements: Ability to engage key business and executive-level stakeholders to translate business problems to high level analytics solution approach. Extensive experience working with large-scale, complex datasets to create/optimize machine learning, predictive, forecasting, and/or optimization models. Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment Strong proficiency in data management pipelines involving data extraction, analysis and transformation using either data querying languages (SQL,NoSQL, BQ), or scripting languages (e.g. Python, R) and/or statistical/mathematical software (e.g. R, Matlab, SAS). Hands-on experience in launching moderate to large scale advanced analytics projects in production at scale; adapts available Cloud-AI technologies and machine learning frameworks with or without the use of enterprise data science platforms. Direct experience in developing analytical solutions that empowers business decisions and product creation using various set of techniques (Supervised, Unsupervised, Deep Learning, NLP, Neural Networks, Graphs) Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists, engineering teams as well business audiences. Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audience. Proven ability to convey rigorous technical concepts and considerations to non-experts, as well as strong analytical skills, attention to detail. Master’s degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Employee Type Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation. Show more Show less

Avant de postuler à un emploi, sélectionnez votre langue de préférence parmi les options disponibles en haut à droite de cette page. Découvrez votre prochaine opportunité au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunités innovantes, découvrez notre culture enrichissante et travaillez avec des équipes talentueuses qui vous poussent à vous développer chaque jour. Nous savons ce qu’il faut faire pour diriger UPS vers l'avenir : des personnes passionnées dotées d’une combinaison unique de compétences. Si vous avez les qualités, de la motivation, de l'autonomie ou le leadership pour diriger des équipes, il existe des postes adaptés à vos aspirations et à vos compétences d'aujourd'hui et de demain. Fiche De Poste Job Title: Senior PowerBI Developer Experience Range: 8-12 Years Location: Chennai, Hybrid Employment Type: Full-Time About UPS UPS is a global leader in logistics, offering a broad range of solutions that include transportation, distribution, supply chain management, and e-commerce. Founded in 1907, UPS operates in over 220 countries and territories, delivering packages and providing specialized services worldwide. Our mission is to enable commerce by connecting people, places, and businesses, with a strong focus on sustainability and innovation. About UPS Supply Chain Symphony™ The UPS Supply Chain Symphony™ platform is a cloud-based solution that seamlessly integrates key supply chain components, including shipping, warehousing, and inventory management, into a unified platform. This solution empowers businesses by offering enhanced visibility, advanced analytics, and customizable dashboards to streamline global supply chain operations and decision-making. Key Responsibilities Develop and maintain interactive dashboards and reports using Power BI and Domo. Lead the design of intuitive, user-centric dashboard UI/UX to enhance data storytelling and user engagement. Write efficient and scalable SQL queries in Databricks and Azure SQL to support analytics needs. Collaborate with business stakeholders to understand requirements and deliver data-driven solutions. Optimize data models and ETL pipelines to ensure data accuracy and performance. Required Skills Proficiency in Power BI and Domo for data visualization and dashboard development. Strong expertise in dashboard UI/UX design within an analytics context. Strong experience with SQL for querying large datasets. Solid understanding of data modeling, ETL processes, and performance tuning. Excellent communication and problem-solving skills. Qualifications Bachelor’s degree in Computer Science, Information Technology, or related field. Proven experience in micro frontend and microservices architecture. Strong understanding of cloud-native application design, especially on Azure. Excellent problem-solving skills and the ability to lead technical discussions. Soft Skills Strong problem-solving abilities and attention to detail. Excellent communication skills, both verbal and written. Effective time management and organizational capabilities. Ability to work independently and within a collaborative team environment. Strong interpersonal skills to engage with cross-functional teams. About The Team You will be part of a dynamic and collaborative team of passionate developers, architects, and product owners dedicated to building high-performance web applications. Our team values innovation, continuous learning, and agile best practices. We work closely using the SAFe Agile framework and foster an inclusive environment where everyone's ideas are valued. Type De Contrat en CDI Chez UPS, égalité des chances, traitement équitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attachés. Show more Show less

Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description Job Title: Senior PowerBI Developer Experience Range: 8-12 Years Location: Chennai, Hybrid Employment Type: Full-Time About UPS UPS is a global leader in logistics, offering a broad range of solutions that include transportation, distribution, supply chain management, and e-commerce. Founded in 1907, UPS operates in over 220 countries and territories, delivering packages and providing specialized services worldwide. Our mission is to enable commerce by connecting people, places, and businesses, with a strong focus on sustainability and innovation. About UPS Supply Chain Symphony™ The UPS Supply Chain Symphony™ platform is a cloud-based solution that seamlessly integrates key supply chain components, including shipping, warehousing, and inventory management, into a unified platform. This solution empowers businesses by offering enhanced visibility, advanced analytics, and customizable dashboards to streamline global supply chain operations and decision-making. Key Responsibilities Develop and maintain interactive dashboards and reports using Power BI and Domo. Lead the design of intuitive, user-centric dashboard UI/UX to enhance data storytelling and user engagement. Write efficient and scalable SQL queries in Databricks and Azure SQL to support analytics needs. Collaborate with business stakeholders to understand requirements and deliver data-driven solutions. Optimize data models and ETL pipelines to ensure data accuracy and performance. Required Skills Proficiency in Power BI and Domo for data visualization and dashboard development. Strong expertise in dashboard UI/UX design within an analytics context. Strong experience with SQL for querying large datasets. Solid understanding of data modeling, ETL processes, and performance tuning. Excellent communication and problem-solving skills. Qualifications Bachelor’s degree in Computer Science, Information Technology, or related field. Proven experience in micro frontend and microservices architecture. Strong understanding of cloud-native application design, especially on Azure. Excellent problem-solving skills and the ability to lead technical discussions. Soft Skills Strong problem-solving abilities and attention to detail. Excellent communication skills, both verbal and written. Effective time management and organizational capabilities. Ability to work independently and within a collaborative team environment. Strong interpersonal skills to engage with cross-functional teams. About The Team You will be part of a dynamic and collaborative team of passionate developers, architects, and product owners dedicated to building high-performance web applications. Our team values innovation, continuous learning, and agile best practices. We work closely using the SAFe Agile framework and foster an inclusive environment where everyone's ideas are valued. Employee Type Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation. Show more Show less

Description Come be a part of a rapidly expanding $35 billion-dollar global business. At Amazon Business, a fast-growing startup passionate about building solutions, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech & retail in the B2B space developing innovative purchasing and procurement solutions to help businesses and organizations thrive. At Amazon Business, we strive to be the most recognized and preferred strategic partner for smart business buying. Bring your insight, imagination and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes and industries. Unlock your career potential. Key job responsibilities Own generating actionable insights through the development of metrics and dashboards. Analyze relevant business information, and uncover trends and correlations to develop insights that can materially improve our product and strategy decisions. Provide insights to our Canada business and Product Management teams as new initiatives are being identified, prioritized, implemented and deployed. Develop clear communications for recommended actions. Establish new, scalable, efficient, automated processes for tracking and reporting on progress of initiatives. About The Team We are central Amazon Business Marketing Analytics (ABMA) team for WW AB Marketing team. Our vision is to simplify and accelerate data driven decision making for AB Marketing by providing cost effective, easy & timely access to high quality data. Our core responsibilities towards AB marketing includes a) providing systems(infrastructure) & workflows that allow ingestion, storage, processing and querying of data b) building ready-to-use datasets for easy and faster access to the data c) automating standard business analysis / reporting/ dashboarding d) empowering business with self-service tools for deep dives & insights seeking. The value construct of these capabilities is to enhance the speed of business decision-making by reducing the effort & time to access actionable data. Basic Qualifications 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) Experience with scripting language (e.g., Python, Java, or R) Preferred Qualifications Master's degree, or Advanced technical degree Knowledge of data modeling and data pipeline design Experience with statistical analysis, co-relation analysis Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - Amazon Dev Center India - Hyderabad - A85 Job ID: A2930198 Show more Show less

About Us Astra is a cybersecurity SaaS company that makes otherwise chaotic pentests a breeze with its one of a kind AI-led offensive Pentest Platform. Astra's continuous vulnerability scanner emulates hacker behavior to scan applications for 13,000+ security tests. CTOs and CISOs love Astra because it helps them to achieve continuous security at scale, fix vulnerabilities in record time, and seamlessly transition from DevOps to DevSecOps with Astra's powerful CI/CD integrations. Astra is loved by 800+ companies across 70+ countries. In 2024 Astra uncovered 2.5 million+ vulnerabilities for its customers, saving customers $110M+ in potential losses due to security vulnerabilities. We've been awarded by the President of France Mr. François Hollande at the La French Tech program and Prime Minister of India Shri Narendra Modi at the Global Conference on Cyber Security. Loom, MamaEarth, Muthoot Finance, Canara Robeco, Dream 11, OLX Autos etc. are a few of Astra’s customers. Job Description This is a remote position. Role Overview As Astra Security’s first AI Engineer, you will play a pivotal role in introducing and embedding AI into our security products. You will be responsible for designing, developing, and deploying AI applications leveraging both open-source models (Llama, Mistral, DeepSeek etc) and proprietary services (OpenAI, Anthropic). Your work will directly impact how AI is used to enhance threat detection, automate security processes, and improve intelligence gathering. This is an opportunity to not only build future AI models but also define Astra Security’s AI strategy, laying the foundation for future AI-driven security solutions. Key Responsibilities Lead the AI integration efforts within Astra Security, shaping the company’s AI roadmap Develop and Optimize Retrieval-Augmented Generation (RAG) Pipelines with multi-tenant capabilities Build and enhance RAG applications using LangChain, LangGraph, and vector databases (e.g. Milvus, Pinecone, pgvector). Implement efficient document chunking, retrieval, and ranking strategies. Optimize LLM interactions using embeddings, prompt engineering, and memory mechanisms. Work with Graph databases (Neo4j or similar) for structuring and querying knowledge bases esign multi-agent workflows using orchestration platforms like LangGraph or other emerging agent frameworks for AI-driven decision-making and reasoning. Integrate vector search, APIs and external knowledge sources into agent workflows. Exposure to end-to-end AI ecosystem like Huggingface to accelerate AI development (while initial work won’t involve extensive model training, the candidate should be ready for fine-tuning, domain adaptation, and LLM deployment when needed) Design and develop AI applications using LLMs (Llama, Mistral, OpenAI, Anthropic, etc.) Build APIs and microservices to integrate AI models into backend architectures.. Collaborate with the product and engineering teams to integrate AI into Astra Security’s core offerings Stay up to date with the latest advancements in AI and security, ensuring Astra remains at the cutting edge What We Are Looking For Exceptional Python skills for AI/ML development Hands-on experience with LLMs and AI frameworks (LangChain, Transformers, RAG-based applications) Strong understanding of retrieval-augmented generation (RAG) and knowledge graphs Experience with AI orchestration tools (LangChain, LangGraph) Familiarity with graph databases (Neo4j or similar) Experience in Ollama for efficient AI model deployment for production workloads is a plus Experience deploying AI models using Docker Hands-on experience with Ollama setup and loading DeepSeek/Llama. Strong problem-solving skills and a self-starter mindset—you will be building AI at Astra from the ground up. Nice To Have Experience with AI deployment frameworks (e.g., BentoML, FastAPI, Flask, AWS) Background in cybersecurity or security-focused AI applications What We Offer Software Engineering Mindset: This role requires a strong software engineering mindset to build AI solutions from 0 to 1 and scale them based on business needs. The candidate should be comfortable designing, developing, testing, and deploying production-ready AI systems while ensuring maintainability, performance, and scalability. Why Join Astra Security? Own and drive the AI strategy at Astra Security from day one Fully remote, agile working environment. Good engineering culture with full ownership in design, development, release lifecycle. A wholesome opportunity where you get to build things from scratch, improve and ship code to production in hours, not weeks. Holistic understanding of SaaS and enterprise security business. Annual trips to beaches or mountains (last one was at Wayanad). Open and supportive culture. Health insurance & other benefits for you and your spouse. Maternity benefits included. Show more Show less

Job Description You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you. As a Software Engineer II at JPMorgan Chase within the Chief Technology office , you are part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role. Job Responsibilities Executes standard software solutions, design, development, and technical troubleshooting Writes secure and high-quality code using the syntax of at least one programming language with limited guidance Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems Adds to team culture of diversity, equity, inclusion, and respect Required Qualifications, Capabilities, And Skills Formal training or certification on software engineering concepts and 2+ years applied experience Hands-on practical experience in system design, application development, testing, and operational stability Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Proficient in coding in Java, Spring Boot, ORM frameworks, Micro services Hands on design in React, Material UI, Java Script, RDBMS Experience across the whole Software Development Life Cycle Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security Preferred Qualifications, Capabilities, And Skills Familiarity with modern front-end technologies Exposure to cloud technologies Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) ABOUT US Show more Show less

Job Description As a Software Engineer II at JPMorgan Chase within the Technology Division, you are part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. Job Responsibilities Executes standard software solutions, design, development, and technical troubleshooting Writes secure and high-quality code using the syntax of at least one programming language with limited guidance Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems Adds to team culture of diversity, equity, inclusion, and respect Required Qualifications, Capabilities, And Skills Hands-on practical experience in system design, application development, testing, and operational stability Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Demonstrable ability to code in one or more languages Experience across the whole Software Development Life Cycle Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred Qualifications, Capabilities, And Skills Familiarity with modern front-end technologies Exposure to cloud technologies ABOUT US Show more Show less

Job Description We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the AWM (Global Liquidity Platform), you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Job Responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect Required Qualifications, Capabilities, And Skills Candidate should be well versed in Java and Spring. Hands-on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred Qualifications, Capabilities, And Skills Familiarity with modern front-end technologies Exposure to cloud technologies ABOUT US Show more Show less