104445 Python Jobs - Page 49

Agoda is an online travel booking platform that connects travelers with a vast global network of 4.7M hotels, holiday properties, flights, activities, and more. As part of Booking Holdings and based in Asia, Agoda's diverse team of 7,100+ employees from 95+ nationalities in 27 markets fosters an environment rich in diversity, creativity, and collaboration. At Agoda, innovation is driven by a culture of experimentation and ownership to enhance the customer experience of exploring the world. The Data department at Agoda, headquartered in Bangkok, is responsible for overseeing all data-related requirements within the company. The primary objective is to enable and enhance the use of data through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. The Data team at Agoda consists of bright minds from around the world who are equipped with the necessary knowledge and tools to support the company's culture of diversity and experimentation. The team plays a critical role in empowering decision-making processes for business users, product managers, engineers, and other stakeholders, while also focusing on improving the search experience for customers and safeguarding against fraudulent activities. Agoda is seeking ambitious and agile data scientists to join the Data Science and Machine Learning (AI/ML) team in Bangkok. The role involves working on challenging machine learning and big data platforms, processing approximately 600B events daily and making 5B predictions. As part of this team, you will tackle real-world challenges such as dynamic pricing, customer intent prediction, personalized recommendations, and more. The role offers the opportunity to work with one of the world's largest ML infrastructure, employing advanced technologies like GPUs, CPU cores, and memory for innovation and user experience enhancement. In this role, you will have the opportunity to design, code, experiment, and implement models and algorithms to maximize customer experience, business outcomes, and infrastructure readiness. You will analyze vast amounts of data to derive actionable insights for driving improvements and innovation, collaborating with developers and various business owners to deliver high-quality results. Successful candidates will have hands-on data science experience, a strong understanding of AI/ML/DL and Statistics, proficiency in coding languages like Python, PySpark, and SQL, and excellent communication skills for multicultural teamwork. Preferred qualifications include a PhD or MSc in relevant fields, experience in NLP, image processing, recommendation systems, data engineering, and data science for e-commerce or OTA. Agoda welcomes applications from both local and international candidates, offering full visa sponsorship and relocation assistance for eligible individuals. Agoda is an Equal Opportunity Employer and keeps applications on file for future vacancies. For further information, please refer to the privacy policy on our website. Agoda does not accept third-party resumes and is not responsible for any fees related to unsolicited resumes.,

Job Title : AI/ML Engineer Experience : 5- 8 Years Location : Hybrid Pune / Bangalore / Hyderabad (12 days/week onsite) About The Role We are looking for an experienced AI/ML Engineer to join our growing team. This role demands a strong foundation in Generative AI, LLMs, and RAG pipelines, coupled with robust software engineering and backend development skills. You will be responsible for building scalable AI solutions, contributing to system architecture, and driving end-to-end project ownership from design to deployment. Key Responsibilities Design, develop, and deploy Generative AI applications using LLMs, LangChain, LangGraph, and RAG pipelines. Build scalable backend services and APIs using FastAPI in a microservices architecture. Collaborate with cross-functional teams to translate business requirements into robust AI/ML solutions. Own end-to-end technical delivery of AI projects, including architectural decisions, implementation, and deployment. Apply strong ML/NLP fundamentals to build and fine-tune models that solve real-world problems. Write clean, modular, and scalable Python code with a strong focus on performance and reliability. Mentor junior engineers and contribute to engineering best practices. Required Skills & Qualifications 5- 8 years of experience in AI/ML engineering or software development with a focus on machine learning and backend systems. Strong hands-on experience with Generative AI technologies: LLMs, LangChain, LangGraph, and RAG. Proficiency in FastAPI and building production-ready microservices. Deep understanding of ML/NLP concepts, data preprocessing, and model deployment. Excellent Python programming skills and a solid grasp of algorithmic problem-solving. Proven ability to take technical ownership and clearly explain project architecture and components. Experience with version control (Git), CI/CD pipelines, and cloud-based development (AWS/GCP/Azure) is a plus. Preferred Qualifications Prior experience deploying AI/ML solutions in enterprise environments. Familiarity with vector databases, embeddings, and model monitoring tools. Exposure to MLOps tools and frameworks (e.g., MLflow, Weights & Biases). (ref:hirist.tech)

Job Description Role & Responsibilities : Gather, document, and analyze business requirements through stakeholder interviews, workshops, and process analysis. Translate business needs into clear technical specifications, including process flow diagrams, use cases, and user stories. Perform gap analysis to identify improvement opportunities and recommend solutions. Collaboration And Stakeholder Management Act as the primary liaison between business teams and technical teams to ensure alignment of goals and deliverables. Facilitate communication between internal and external stakeholders, ensuring a seamless project execution. Support user acceptance testing (UAT) by preparing test cases and scenarios based on business requirements. Technical Implementation Support Work closely with developers, QA teams, and system architects to ensure technical solutions meet business objectives. Provide technical input during the design and development phases to address feasibility and scalability concerns. Prepare technical documentation, including process flows, issue logs, and troubleshooting guides. Data Analysis And Reporting Leverage tools like SQL and Excel to extract, manipulate, and analyze data to derive actionable insights. Create reports and dashboards using data visualization tools to communicate findings to stakeholders effectively. Monitor and measure the success of implemented solutions using KPIs and metrics. Required Technical Skills SQL : Strong proficiency in database querying for data extraction and analysis. Excel : Advanced skills, including pivot tables, data visualization, and formulae. Visualization Tools : Experience with tools like Tableau, Power BI, or similar platforms. Documentation Tools : Proficiency in JIRA, Confluence, or similar tools for requirement tracking and documentation. Scripting Knowledge : Basic understanding of Python or R for data analysis (preferred). API Knowledge : Familiarity with RESTful APIs and integrations. Soft Skills Strong problem-solving and root-cause analysis capabilities. Excellent verbal and written communication skills, with the ability to translate complex technical concepts into simple terms. Stakeholder management skills, ensuring alignment between business and technical teams. High attention to detail with the ability to manage multiple priorities effectively. Preferred Qualifications Bachelors degree in Computer Science, Information Technology, Business Administration, or a related field. Experience in domains such as e-commerce, retail, or supply chain management. Familiarity with Agile and Scrum methodologies. Knowledge of business processes like inventory management, product lifecycle management, or CRM (ref:hirist.tech)

Job Summary The Core Software team is a high-performance engineering team responsible for building the fundamental software to manage the ONTAP software product. You will work as part of a team responsible for the development, testing and debugging of distributed software that drives NetApp cloud, hybrid-cloud and on-premises solutions. As a software engineer, you will work as part of a team of skilled and passionate engineers responsible for participating in the design, development, debugging, maintenance & testing. This position requires an individual to be creative, team-oriented, technology savvy, and driven to produce results. Responsibilities Lead medium to large feature deliveries, including participating in the full software development lifecycle. Deliver reliable, innovative storage and data management products. Design, implementand test software in Python with a focuson simplicity, reliability, and manageability. Participate in product design, development, verification, troubleshooting, and delivery of a system or major subsystems, including authoring project specifications. Write unit and automated integrationtests. Conductand participate in technical discussions within the team as well as with other groups across Business Units in the company. Facilitate technical discussions and lead presentations with engineering leadership. Job Requirements Software development experience (analysis, design, implementation, testing) Proficiency in Python & C++ is desired. Experience with Full stack development, Angular experience is a plus. Experience with REST API, Cloud, and Virtualization environments is a plus. Familiarity with data storage virtualization, knowledge on hypervisors such as VMware ESX, Linux KVM is preferred. Experienceworking with file systems, distributed systems, client-server programming, multi-threaded applications,and operatingsystems such as FreeBSD,Linux A strong understanding of basic to complex concepts related to computer architecture, data structures, and programming practices. Demonstrated creative and systematic approach to problem solving. Possess excellent written and verbal communication skills. Ability towork under limited supervision anddirection. Ability to work collaboratively within a team environment of other engineers to meet aggressive goals and high-quality standards. Education 2 – 5 years of software development experience with a bachelor’s degree in computer science or computer engineering 1 – 3 years of software development experience with a master’s degree in computer science or computer engineering

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. Job Title - Director - Generative AI Exp - 15+ yrs Required Skills Proficiency in GenaAI based application development and a focus on leveraging AI and ML technologies Strong Experience in Python programming and related frameworks (e.g., Django, Flask) Extensive experience in building scalable and robust applications using Python Solid understanding of data engineering principles and technologies (e.g., ETL, data pipelines, data warehousing) Familiarity with AI and ML concepts, algorithms, and libraries (e.g., TensorFlow, PyTorch) Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services Experience with database systems (e.g., SQL, NoSQL) and data modeling Strong problem-solving and analytical skills, with the ability to translate business requirements into technical solutions Excellent leadership and team management skills, with the ability to motivate and develop a high-performing team Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams Self-motivated and proactive, with a passion for learning and staying up-to-date with emerging technologies and industry trends Educational Background BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA

At PwC, our people in talent and development focus on finding, deploying, training and enabling talent through talent identification and enhancing employee skills and knowledge, fostering a culture of continuous learning and professional growth. These individuals collaborate with subject matter specialists and project teams to strategize effective ways to locate, assess, educate and train employees, in line with market developments and firm strategy. As a learning and development generalist at PwC, you will focus on designing and delivering innovative training programmes to enhance employee skills and knowledge. You will play a crucial role in fostering a culture of continuous learning and professional growth within the organisation. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. As a Technical Trainer , you will be responsible for designing and delivering engaging learning sessions on Cloud Platforms (AWS, Azure, GCP), AI/ML, Generative AI, DevOps practices, and programming languages such as Java and Python. You will enable upskilling and certification readiness for diverse learner personas including developers, data engineers, and analysts. Your role will ensure that content aligns with global standards and supports business-critical learning initiatives. Main purpose of the job and key background information Deliver virtual and in-person instructor-led training on AWS, Azure, GCP, AI/ML, Generative AI, DevOps, Java, and Python. Customize training modules to suit various experience levels and job roles. Support learners in certification journeys (AWS/Azure Associate-level). Work with SMEs to ensure course content is up to date with current technology trends. Use modern training tools and platforms to enable immersive and practice-oriented learning. Conduct pre- and post-training assessments, gather feedback, and continuously improve the training approach. Collaborate with internal teams to drive learning interventions aligned to business needs. Level Of Experience 10-12 years of relevant experience in technical training, software development, or cloud/data engineering roles. Education/qualifications Bachelor’s degree in Computer Science Engineering, or related field (required) Certified in at least one major Cloud platform (AWS/Azure/GCP) at Associate or Intermediate level (e.g., AWS Solutions Architect Associate, Azure Administrator Associate) Industry Experience Additional certifications in AI/ML or DevOps (preferred) Experience in IT Services, Consulting, or Learning & Development domains. Technical capability Expertise in one or more Cloud platforms (AWS, Azure, GCP) Strong programming knowledge in Python and Java Good understanding of AI/ML concepts and tools Exposure to DevOps practices and tools like CI/CD, Docker, Jenkins Familiarity with Generative AI platforms and tools (e.g., Bedrock, OpenAI APIs) Key personal attributes Passion for teaching and mentoring Excellent communication and presentation skills Adaptive, learner-first mindset Ability to simplify complex concepts for diverse learner audiences Team player with collaborative approach

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Role Overview We are seeking a Senior Associate – AI Engineer / MLOps / LLMOps with a passion for building resilient, cloud-native AI systems. In this role, you’ll collaborate with data scientists, researchers, and product teams to build infrastructure, automate pipelines, and deploy models that power intelligent applications at scale. If you enjoy solving real-world engineering challenges at the convergence of AI and software systems, this role is for you. Key Responsibilities Architect and implement AI/ML/GenAI pipelines, automating end-to-end workflows from data ingestion to model deployment and monitoring. Develop scalable, production-grade APIs and services using FastAPI, Flask, or similar frameworks for AI/LLM model inference. Design and maintain containerized AI applications using Docker and Kubernetes. Operationalize Large Language Models (LLMs) and other GenAI models via cloud-native deployment (e.g., Azure ML, AWS Sagemaker, GCP Vertex AI). Manage and monitor model performance post-deployment, applying concepts of MLOps and LLMOps including model versioning, A/B testing, and drift detection. Build and maintain CI/CD pipelines for rapid and secure deployment of AI solutions using tools such as GitHub Actions, Azure DevOps, GitLab CI. Implement security, governance, and compliance standards in AI pipelines. Optimize model serving infrastructure for speed, scalability, and cost-efficiency. Collaborate with AI researchers to translate prototypes into robust production-ready solutions. Required Skills & Experience 4 to 9 years of hands-on experience in AI/ML engineering, MLOps, or DevOps for data science products. Bachelor's degree in Computer Science, Engineering, or related technical field (BE/BTech/MCA). Strong software engineering foundation with hands-on experience in Python, Shell scripting, and familiarity with ML libraries (scikit-learn, transformers, etc.). Experience deploying and maintaining LLM-based applications, including prompt orchestration, fine-tuned models, and agentic workflows. Deep understanding of containerization and orchestration (Docker, Kubernetes, Helm). Experience with CI/CD pipelines, infrastructure-as-code tools (Terraform, CloudFormation), and automated deployment practices. Proficiency in cloud platforms: Azure (preferred), AWS, or GCP – including AI/ML services (e.g., Azure ML, AWS Sagemaker, GCP Vertex AI). Experience managing and monitoring ML lifecycle (training, validation, deployment, feedback loops). Solid understanding of APIs, microservices, and event-driven architecture. Experience with model monitoring/orchestration tools (e.g, Kubeflow, MLflow). Exposure to LLMOps-specific orchestration tools such as LangChain, LangGraph, Haystack, or PromptLayer. Experience with serverless deployments (AWS Lambda, Azure Functions) and GPU-enabled compute instances. Knowledge of data pipelines using tools like Apache Airflow, Prefect, or Azure Data Factory. Exposure to logging and observability tools like ELK stack, Azure Monitor, or Datadog. Good to Have Experience implementing multi-model architecture, serving GenAI models alongside traditional ML models. Knowledge of data versioning tools like DVC, Delta Lake, or LakeFS. Familiarity with distributed systems and optimizing inference pipelines for throughput and latency. Experience with infrastructure cost monitoring and optimization strategies for large-scale AI workloads. It would be great if the candidate has exposure to full-stack ML/DL. Soft Skills & Team Expectations Strong communication and documentation skills; ability to clearly articulate technical concepts to both technical and non-technical audiences. Demonstrated ability to work independently as well as collaboratively in a fast-paced environment. A builder's mindset with a strong desire to innovate, automate, and scale. Comfortable in an agile, iterative development environment. Willingness to mentor junior engineers and contribute to team knowledge growth. Proactive in identifying tech stack improvements, security enhancements, and performance bottlenecks.

We are seeking an experienced and hands-on Senior Azure Data Engineer with Power BI expertise to take on a dual role that combines technical leadership and active development. You will lead BI and data engineering efforts for enterprise-grade analytics solutions using Power BI, Azure Data Services, and Databricks, contributing to both design and delivery. This position offers the opportunity to work in a collaborative environment and play a key role in shaping our cloud-first data architecture. Key Responsibilities Lead and participate in the design, development, and deployment of scalable BI and data engineering solutions. Build robust data pipelines and integrations using Azure Data Factory (ADF) and Databricks (Python/Scala). Develop interactive and insightful Power BI dashboards and reports, with strong expertise in DAX and Power Query. Collaborate with stakeholders to gather business requirements and translate them into technical solutions. Optimize data models and ensure best practices in data governance, security, and performance tuning. Manage and enhance data warehousing solutions, ensuring data consistency, availability, and reliability. Work in an Agile/Scrum environment with product owners, data analysts, and engineers. Mentor junior developers and ensure code quality and development standards are maintained. Technical Must-Haves Power BI : 3+ years of hands-on experience in developing complex dashboards and DAX queries. Databricks (Python/Scala) : 3 to 4+ years of experience in building scalable data engineering solutions. Azure Data Factory (ADF) : Strong experience in orchestrating and automating data workflows. SQL : Advanced skills in writing and optimizing queries for data extraction and transformation. Solid understanding of data warehousing concepts, star/snowflake schemas, and ETL/ELT practices. Nice To Have Knowledge of Azure Synapse Analytics, Azure Functions, or Logic Apps. Experience with CI/CD pipelines for data deployments. Familiarity with Azure DevOps, Git, or similar version control systems. Exposure to data lake architecture, Delta Lake, or medallion architecture (ref:hirist.tech)

Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, all using our unique combination of data, analytics and software. We also assist millions of people to realise their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.co m Job Description We are looking for an enthusiastic Software Engineer to contribute to our cloud modernisation efforts. Key Responsibilities You will be based in Hyderabad and reporting to Director Engineering. Develop high-quality software in an agile team, ensuring delivery aligned with business requirements and agile principles. You will translate business requirements into clean, scalable, low-defect code. Collaborate with cross-functional teams to design, develop, test, and release software. Contribute to development practices that support continuous integration, delivery, and improvement. Integrate DevSecOps practices into the development lifecycle, using static code analysis and security scanning tools. Maintain clear documentation for code, processes, and system architecture to support knowledge sharing and maintainability. Qualifications 1–4 years of hands-on experience in software development. Degree in B.Sc. Computer Science, MCA, B.Tech in Engineering, or higher. Proven experience building secure, mission-critical, high-volume web systems in regulated industries (e.g., finance, insurance). Required Technical Skills & Knowledge Proficient in .NET 6+ / .NET Core / .NET Framework, building scalable REST/SOAP/RPC APIs using ASP.NET and C#. Expertise in writing unit and integration tests using xUnit/nUnit, with experience in TDD and BDD. Familiar with mocking frameworks, clean architecture, SOLID principles, and design patterns. Expertise in SQL/NoSQL databases. Knowledge of Docker; familiarity with Kubernetes Desirable & Useful Skills Working knowledge of GenAI tools for coding. Familiarity with Python/Scala, Spark, or other big data frameworks. Agile environments (Scrum or Kanban). AWS or other public cloud certifications Domain-Driven Design (DDD) and Event-Driven Architecture (EDA). Familiarity with event streaming/messaging tools (Kafka, EventBridge, Kinesis, RabbitMQ, ActiveMQ). Knowledge of Infrastructure as Code (IaC) using Terraform, CloudFormation, or CDK. CI/CD tools (GitHub Actions, GitLab CI, Jenkins). Exposure to static code analysis and vulnerability management. Additional Information Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Global Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site and Glassdoor to understand why. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, color, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. Benefits Experian care for employee's work life balance, health, safety and wellbeing. In support of this endeavor, we offer best-in-class family well-being benefits, enhanced medical benefits and paid time off. Experian Careers - Creating a better tomorrow together Find out what its like to work for Experian by clicking here

As a Machine Learning Engineer at our company, you will be responsible for developing and implementing various ML libraries and building data pipelines to address a range of challenges. Your role will require a deep understanding of Machine Learning principles, along with proficiency in utilizing available tools and libraries. Moreover, you should possess expert knowledge of Big Data technologies, with a particular focus on Python and/or Databricks. Additionally, your experience in natural language processing (NLP) will be highly valuable in this role. Ideal candidates will have a background as a software engineer or data scientist, demonstrating strong coding skills in Python and/or R. Familiarity with Linux and AWS is essential, while experience with Kubernetes would be considered a significant advantage. Furthermore, you should be able to showcase your ability to construct neural networking models for natural language applications. Proficiency in utilizing Jupyter notebooks for research and data analytics is also a key requirement for this position. Experience: 2 to 2+ Years Positions: 2 Location: Indore/Chennai, IN To apply for this position, please send your application to jobs@bitcot.com / hr@bitcot.com or contact us at (+91) 8103678419. Join us on this exciting journey of leveraging Machine Learning to drive innovation and solve complex problems.,

hackajob is collaborating with J.P. Morgan to connect them with exceptional tech professionals for this role. If you are a software engineering leader ready to take the reins and drive impact, we’ve got an opportunity just for you. As a Director of Software Engineering at JPMorgan Chase within the Commercial & Investment Banking, you will lead a technical domain, managing teams, technologies, and projects across multiple departments. Your deep expertise in software, applications, technical processes, and product management will be vital in managing numerous complex projects and initiatives, serving as the key decision maker for your teams while promoting innovation and effective solution delivery. With over 15 years of experience in developing Risk Management Systems for the Markets business, you have proven success in leading large teams and collaborating effectively with diverse internal stakeholders. Job Responsibilities Lead and manage large software development teams, fostering a culture of innovation, collaboration, and excellence Provide strategic direction and mentorship to team members, ensuring alignment with organizational goals. Establish and maintain effective partnerships with internal stakeholders across various lines of business. Oversee the planning, execution, and delivery of complex software projects, ensuring they meet business requirements, timelines, and budget constraints. Implement best practices in project management and software development methodologies. Leverage extensive technical expertise in Python, AWS cloud platforms to steer the creation of scalable and robust software solutions. Possess a strong understanding of data architectures to ensure optimal design and implementation. Work with Apache Spark, EMR, Glue, and Parquet to process and analyze large datasets, promoting insights and decision-making through advanced data analytics. Optimize Redshift-based data pipelines for performance, managing over 100+ TB of data, and ensuring efficient data processing and retrieval Handle petabytes of data in data lake and data lakehouse environments like Iceberg, implementing best practices for data management, storage, and retrieval. Leverage experience with JPMorgan's in-house risk management system, Athena, across various lines of business in markets such as Market business. Demonstrate a comprehensive understanding of the trade lifecycle, risk management, and financial products in investment banking, including options, swaps, equities, bonds, and repo. Collaborate with cross-functional teams to ensure seamless integration and functionality of software solutions. Promote innovation by staying abreast of emerging technologies and industry trends. Develop and implement strategies that enhance the efficiency and effectiveness of software development processes. Champion Agile methodologies to enhance project delivery, team collaboration, and continuous improvement. Facilitate Agile ceremonies and ensure adherence to Agile principles and practices. Required Qualifications, Capabilities And Skills Formal training or certification on large scale technology program concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise Proven track record of leading large global teams (50+ developers). Technical Skills: Expertise in Python, AWS cloud platform (S3, Lambda, Kinesis, EC2, DynamoDB, EventBridge, MKS), big data technologies, and data lake/lakehouse architectures (Iceberg). Architect level expertise in data solutions. Modern skills in Cloud and AI. Risk Management System: Extensive experience with risk management system across various lines of business. Financial Products Knowledge: Strong understanding of trade lifecycle, risk management, trade model, trade booking and financial products in investment banking. Leadership Skills: Exceptional leadership, communication, and interpersonal skills. Ability to inspire and motivate teams to achieve high performance. Preferred Qualifications, Capabilities And Skills Experience in JPMorgan's Athena RMS is preferred.

This is a general track for security-focused engineering in every team at Canonical, across all levels of seniority. Apply here if you are already an exceptional security-focused software engineer. Most product engineering teams at Canonical include one or two spaces for dedicated security-oriented software engineers. Their role is to challenge the entire team to think more deeply about security. They contribute to the product as engineers too, but their primary focus is to improve security through state of the art practices - from table-top threat model exercises to architecture reviews, from extended security testing with fuzzers and static analysis tools to external security analyst liaison. We also build a number of products that are entirely motivated by security technology and requirements, such as our AppArmor kernel investments and our hardening, compliance and certification toolkits for Ubuntu. As the publisher of Ubuntu we also handle long-term security response and hardening for the entire operating system and open source universe. Working with tens of thousands of upstreams means that we need to be fluent in every major programming language, and design, build and adopt sophisticated tools that enable us to work at scale and speed with confidence. These roles encompass all aspects of product security, including feature development, vulnerability response, proactive security and open source community participation. All security roles interact closely with many of the other Canonical engineering and development teams, Canonical customers and our partners across the open source community. Location: We have open roles for security specialist software engineers in every timezone. What you'll do Security roles might tackle any of the following: Define, implement and document new security features Lead security-oriented thinking in a product engineering team Analyze, fix, and test vulnerabilities in Canonical and open source Software Contribute to Ubuntu and upstream projects to benefit the community Audit and analyze source code for vulnerabilities Integrate new tools in our security infrastructure, pipelines and processes Achieve and retain various security certifications Extend and enhance Linux cryptographic components - specifically with modules such as OpenSSL/Libgcrypt - with the features and functionality required for country-specific compliance such as FIPS and CC certification Work with external partners to develop CIS benchmarks Design and develop hardening automation for Ubuntu Monitor the security industry for new developments Develop, test and maintain new software capabilities Provide guidance and support to other engineering teams What we are looking for in you An exceptional academic track record from both high school and university Undergraduate degree in Computer Science or STEM, or a compelling narrative about your alternative path Drive and a track record of going above-and-beyond expectations A thorough understanding of the common categories of security vulnerabilities Modern engineering techniques to find and fix them Familiarity with open source development tools and methodologies Skill in one or more of C, Python, Go, Rust, Java, Ruby or PHP Experience as a security champion Experience driving security within a wider SDLC process Professional written and spoken English Experience with Linux (Debian or Ubuntu preferred) Excellent interpersonal skills, curiosity, flexibility, and accountability Passion, thoughtfulness, and self-motivation Excellent communication and presentation skills Result-oriented, with a personal drive to meet commitments Ability to travel twice a year, for company events up to two weeks each Optional skills we also value Clear and effective communication with the team and Ubuntu community members Experience working with Linux Kernel Security Certification experience and knowledge in FIPS and/or CC Experience with OVAL (Open Vulnerability Assessment Language) Knowledge of and familiarity with low-level Linux cryptography APIs Demonstrated high learning ability Performance engineering experience What we offer you We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. Job Title - Director - Generative AI Exp - 15+ yrs Required Skills Proficiency in GenaAI based application development and a focus on leveraging AI and ML technologies Strong Experience in Python programming and related frameworks (e.g., Django, Flask) Extensive experience in building scalable and robust applications using Python Solid understanding of data engineering principles and technologies (e.g., ETL, data pipelines, data warehousing) Familiarity with AI and ML concepts, algorithms, and libraries (e.g., TensorFlow, PyTorch) Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services Experience with database systems (e.g., SQL, NoSQL) and data modeling Strong problem-solving and analytical skills, with the ability to translate business requirements into technical solutions Excellent leadership and team management skills, with the ability to motivate and develop a high-performing team Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams Self-motivated and proactive, with a passion for learning and staying up-to-date with emerging technologies and industry trends Educational Background BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems. Experience in commercial data & analytics, strategy, or related roles within Health Industries (Pharmaceuticals, Biotech, Medical Devices, Payer, or Provider). You will play a crucial role in organizing & maintaining proprietary datasets and transforming data into insights & visualizations that drive strategic decisions for our clients and the firm. You’ll work closely with the industry leader & a number of cross-functional Health Industries advisory, tax and assurance professional teams to develop high-impact, commercially relevant insights to infuse into thought leadership, external media engagement, demand generation, client pursuits, & delivery enablement. Knowledge And Skills Preferred Demonstrates in- depth level abilities and/or a proven record of success managing efforts with identifying and addressing client needs: As a critical member of a team of Health Industries data scientists, maintain and analyze large, complex healthcare datasets to uncover insights that inform topics such as patient behavior, market dynamics, regulatory trends, provider and payer performance, innovation adoption, access to care, pricing strategies, and operational optimization; Support in the identification of new, cutting-edge healthcare data sources (e.g., real-world evidence, claims data, clinical trial registries, formulary data) that add to the firm’s differentiation among competitors and deepen value to clients; Building predictive models and data-led tools that inform strategic decisions across payer, provider, pharma, and medtech sectors; Design and conduct experiments (e.g., policy impact analysis, intervention efficacy testing, treatment adherence modeling) to measure effectiveness of healthcare initiatives and support continuous improvement; Partner with the US team and healthcare business stakeholders and client teams to translate analytical findings into actionable recommendations and compelling narratives that support clinical, financial, and operational decision-making; Develop dashboards and reports using tools like Tableau, Power BI, or Looker to support self-service analytics, stakeholder engagement, and regulatory reporting; Stay up to date and ahead of industry trends, patient and provider behavior patterns, and emerging technologies shaping the healthcare landscape; Experience managing high-performing data science and commercial analytics teams with deep healthcare domain knowledge; Strong SQL and Alteryx skills and proficiency in Python and/or R for healthcare data manipulation, modeling, and visualization; Experience applying machine learning or statistical techniques to real-world healthcare challenges, including cost forecasting, population health management, or precision medicine applications; Solid understanding of key healthcare metrics (e.g., PMPM, readmission rates, utilization, adherence, access, NPS, etc.); Proven ability to explain complex healthcare data concepts to non-technical stakeholders across payer, provider, and life sciences environments Experience with healthcare datasets such as IQVIA, Clarivate, Evaluate Pharma, Citeline, AIS Health, Symphony Health, etc. Knowledge of geospatial or time-series analysis in a healthcare setting (e.g., site-of-care optimization, treatment seasonality, regional variation in access) Prior work with pricing strategy, access and reimbursement modeling, value-based care analytics, or health equity assessment.

About The Job Key Result Areas And Activities : Design and Development : Design, implement, and manage Redshift clusters for high availability, performance, and security. Performance Optimization : Monitor and optimize database performance, including query tuning and resource management. Backup and Recovery : Develop and maintain database backup and recovery strategies. Security Enforcement : Implement and enforce database security policies and procedures. Cost-Performance Balance : Ensure an optimal balance between cost and performance. Collaboration with Development Teams : Work with development teams to design and optimize database schemas and queries. Perform database migrations, upgrades, and patching. Issue Resolution : Troubleshoot and resolve database-related issues, providing support to development and operations teams. Automate routine database tasks using scripting languages and tools. Must-Have Strong understanding of database design, performance tuning, and optimization techniques Proficiency in SQL and experience with database scripting languages (e.g., Python, Shell) Experience with database backup and recovery, security, and high availability solutions Familiarity with AWS services and tools, including S3, EC2, IAM, and CloudWatch Operating System - Any flavor of Linux, Windows Core Redshift Administration Skills -Cluster Management, Performance Optimization, workload management (WLM), vacuuming/analyzing tables for optimal performance, IAM policies, role[1]based access control, Backup & Recovery, automated backups, and restoration strategies. SQL Query Optimization, distribution keys, sort keys, and compression encoding Knowledge of COPY and UNLOAD commands, S3 integration, and best practices for bulk data loading Scripting & Automation for automating routine DBA tasks Expertise in debugging slow queries, troubleshooting system tables (ref:hirist.tech)

This is a general track for security-focused engineering in every team at Canonical, across all levels of seniority. Apply here if you are already an exceptional security-focused software engineer. Most product engineering teams at Canonical include one or two spaces for dedicated security-oriented software engineers. Their role is to challenge the entire team to think more deeply about security. They contribute to the product as engineers too, but their primary focus is to improve security through state of the art practices - from table-top threat model exercises to architecture reviews, from extended security testing with fuzzers and static analysis tools to external security analyst liaison. We also build a number of products that are entirely motivated by security technology and requirements, such as our AppArmor kernel investments and our hardening, compliance and certification toolkits for Ubuntu. As the publisher of Ubuntu we also handle long-term security response and hardening for the entire operating system and open source universe. Working with tens of thousands of upstreams means that we need to be fluent in every major programming language, and design, build and adopt sophisticated tools that enable us to work at scale and speed with confidence. These roles encompass all aspects of product security, including feature development, vulnerability response, proactive security and open source community participation. All security roles interact closely with many of the other Canonical engineering and development teams, Canonical customers and our partners across the open source community. Location: We have open roles for security specialist software engineers in every timezone. What you'll do Security roles might tackle any of the following: Define, implement and document new security features Lead security-oriented thinking in a product engineering team Analyze, fix, and test vulnerabilities in Canonical and open source Software Contribute to Ubuntu and upstream projects to benefit the community Audit and analyze source code for vulnerabilities Integrate new tools in our security infrastructure, pipelines and processes Achieve and retain various security certifications Extend and enhance Linux cryptographic components - specifically with modules such as OpenSSL/Libgcrypt - with the features and functionality required for country-specific compliance such as FIPS and CC certification Work with external partners to develop CIS benchmarks Design and develop hardening automation for Ubuntu Monitor the security industry for new developments Develop, test and maintain new software capabilities Provide guidance and support to other engineering teams What we are looking for in you An exceptional academic track record from both high school and university Undergraduate degree in Computer Science or STEM, or a compelling narrative about your alternative path Drive and a track record of going above-and-beyond expectations A thorough understanding of the common categories of security vulnerabilities Modern engineering techniques to find and fix them Familiarity with open source development tools and methodologies Skill in one or more of C, Python, Go, Rust, Java, Ruby or PHP Experience as a security champion Experience driving security within a wider SDLC process Professional written and spoken English Experience with Linux (Debian or Ubuntu preferred) Excellent interpersonal skills, curiosity, flexibility, and accountability Passion, thoughtfulness, and self-motivation Excellent communication and presentation skills Result-oriented, with a personal drive to meet commitments Ability to travel twice a year, for company events up to two weeks each Optional skills we also value Clear and effective communication with the team and Ubuntu community members Experience working with Linux Kernel Security Certification experience and knowledge in FIPS and/or CC Experience with OVAL (Open Vulnerability Assessment Language) Knowledge of and familiarity with low-level Linux cryptography APIs Demonstrated high learning ability Performance engineering experience What we offer you We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

As an Engineering Lead at Bolo AI, a company dedicated to utilizing AI to optimize Energy processes, you will play a crucial role in expanding the engineering team and overseeing the delivery of cutting-edge products focused on Generative AI systems. Your responsibilities will encompass managing a talented group of applied scientists, MLOps engineers, and backend developers who are dedicated to developing high-performance platforms for LLM training, RAG, LLM agent orchestration, and enterprise deployments. Your primary objective will be to ensure that the team collaborates effectively to deliver top-tier products within set timelines and with exceptional quality standards. You will be instrumental in driving product excellence, facilitating the swift introduction of new features, functionalities, and AI-driven solutions for our valued customers. Moreover, you will be tasked with defining the technical roadmap, establishing operational frameworks, and upholding engineering standards. Reporting to the CTO and closely working with the CEO, you will engage with research and product teams to shape the company's trajectory and achieve tangible outcomes through state-of-the-art AI technologies. Key Responsibilities: - Architecting scalable and high-performance systems to support LLM pipelines, RAG infrastructure, and agentic workflows - Building, nurturing, and expanding a top-tier engineering team spanning platform engineering, ML infra, and backend systems - Overseeing the end-to-end delivery process of mission-critical AI products from conceptualization to deployment - Collaborating effectively with founders, research scientists, and product managers to align on technical strategies and business objectives - Establishing best practices in software development, MLOps, DevSecOps, and system design to ensure code quality and architectural integrity - Spearheading initiatives to enhance system performance, optimize LLM inference efficiency, and drive cost efficiencies across cloud environments - Engaging with enterprise clients and partners to comprehend requirements, solicit feedback, and facilitate solution delivery Qualifications: - Over 10 years of engineering experience with a minimum of 5 years in building and leading engineering teams, ideally in dynamic startup environments - Profound expertise in constructing production ML systems, encompassing model training, optimization, and large-scale deployment (LLM, RAG, agents, classification, etc.) - Strong background in backend and systems engineering with proficiency in Python and microservice architecture - Prior exposure to hybrid deployments (on-prem, VPC) and cloud-native infrastructure (AWS, GCP, Azure) - Demonstrated ability to scale engineering organizations, implement processes, and drive cross-functional collaborations - Passion for addressing real-world challenges using innovative ML and AI solutions - Educational background in Computer Science or related field (M.Tech/MS/PhD), with preference for candidates from esteemed institutions like IIT/NIT/BITS Desirable Skills: - Familiarity with CPU- and GPU-optimized ML inference frameworks such as BOLT, TorchScript, Triton, ONNX, or vLLM - Proficiency in LLM training methodologies (e.g., LoRA, QLoRA, RLHF, MoE), LLM Agents, multilingual NLP, or recommendation systems - Track record of publications in renowned ML/NLP conferences or patents in the AI/ML domain - Previous involvement in startup environments, particularly within the enterprise or SaaS sectors Join us at Bolo AI for: - Competitive Compensation: A competitive base salary - Ownership & Impact: Equity options to participate in our growth and success - Hybrid Work Environment: Flexibility to collaborate in-person and work remotely to ensure work-life balance - Growth & Opportunity: Engage in a pivotal stage where your contributions will shape our journey and unlock new opportunities - Culture of Respect & Collaboration: Join a team that values humility, respect, and teamwork, celebrating collective achievements.,

We are seeking an experienced Python + Databricks Developer to join our data engineering team. The ideal candidate will have a strong background in Python programming, data processing, and hands-on experience with Databricks for building and optimizing data pipelines. Key Responsibilities Design, develop, and maintain scalable data pipelines using Databricks and Apache Spark. Write efficient Python code for data transformation, cleansing, and analytics. Collaborate with data scientists, analysts, and engineers to understand data needs and deliver high-performance solutions. Optimize and tune data pipelines for performance and cost efficiency. Implement data validation, quality checks, and monitoring. Work with cloud platforms (preferably Azure or AWS) to manage data workflows. Ensure best practices in code quality, version control, and documentation. Required Skills & Experience 5+ years of professional experience in Python development. 3+ years of hands-on experience with Databricks (including notebooks, clusters, Delta Lake, and job orchestration). Strong experience with Spark (PySpark preferred). Proficient in working with large-scale data processing and ETL/ELT pipelines. Solid understanding of data warehousing concepts and SQL. Experience with Azure Data Factory, AWS Glue, or other data orchestration tools is a plus. Familiarity with version control tools like Git. Excellent problem-solving and communication skills. (ref:hirist.tech)

JR0124664 Junior Associate, Solution Engineering (Data Science) – Pune, India Are you excited by the opportunity of using your knowledge of development to lead a team to success? Are you interested in joining a globally diverse organization where our unique contributions are recognized and celebrated, allowing each of us to thrive? Then it’s time to join Western Union as a Junior Associate, Solution Engineering. Western Union powers your pursuit You will be working with a team of professionals with a broad range of responsibilities including all aspects of software engineering like requirements, understanding and validation, solution design detailed design, development, testing and software configuration management. Build products, systems, and services that are optimized, well organized and maintainable, and have a high impact on our end users. Role Responsibilities Applying Data Science methods in solving business use cases preferably in Banking and Financial Services, Payments and Fintech domain. Demonstrate strong capabilities in assessing business needs while providing creative and effective solutions in conformance to emerging technology standards. Partners with key business stakeholders through the projects and ensure smooth knowledge transfer for better utilization of the end work product in business decisioning. Works with cross-functional teams to develop and implement the AI/ML solutions for frequent usage in decisioning. Design, Build, Deploy, Measure Performance of AI/ML Solutions that align with the stakeholder expectations using the appropriate and most effective ML methods. To utilize expertise in Analytics, Machine Learning and AI to build solutions that leverage relevant data sources. Strong emphasis on customer journey, product quality, performance tuning, troubleshooting, and continuous development. Breaks down the problem into its constituent parts; evaluates the available solution options while solving problems. Can prioritize individual tasks based on project criticalities, proactively plans based on critical inputs from historical data, analyses work output and plans for contingencies. Role Requirements 1-2 years of extensive experience in Machine Learning (supervised and unsupervised both), Classification, Data/Text Mining, NLP, Decision Trees, Random Forest, Model Explain ability, Bias Detection, ML model deployment. Hands on expertise in building and deploying machine learning models using tools like Python, AWS Sagemaker, Dataiku. Familiarity with building data pipelines in ETL tools like Matillion/Talend to support the AWS model deployments would be a plus. Extra points for having experience in building GenAI solutions for business use cases using AWS services like Bedrock with a good understanding of LLM models commonly used today. Team player with strong analytical, verbal, and written communication skills. Being Curious, Inquisitive and Creative is what will help you excel in the role. Ability to work in a fast paced, iterative development environment and adapt to changing business priorities and to thrive under pressure We make financial services accessible to humans everywhere. Join us for what’s next. Western Union is positioned to become the world’s most accessible financial services company —transforming lives and communities. We’re a diverse and passionate customer-centric team of over 8,000 employees serving 200 countries and territories, reaching customers and receivers around the globe. More than moving money, we design easy-to-use products and services for our digital and physical financial ecosystem that help our customers move forward. Just as we help our global customers prosper, we support our employees in achieving their professional aspirations. You’ll have plenty of opportunities to learn new skills and build a career, as well as receive a great compensation package. If you’re ready to help drive the future of financial services, it’s time for Western Union. Learn more about our purpose and people at https://careers.westernunion.com/. Benefits You will also have access to short-term incentives, multiple health insurance options, accident and life insurance, and access to best-in-class development platforms, to name a few(https://careers.westernunion.com/global-benefits/). Please see the location-specific benefits below and note that your Recruiter may share additional role-specific benefits during your interview process or in an offer of employment. Your India Specific Benefits Include Employees Provident Fund [EPF] Gratuity Payment Public holidays Annual Leave, Sick leave, Compensatory leave, and Maternity / Paternity leave Annual Health Check-up Hospitalization Insurance Coverage (Mediclaim) Group Life Insurance, Group Personal Accident Insurance Coverage, Business Travel Insurance Cab Facility Relocation Benefit Western Union values in-person collaboration, learning, and ideation whenever possible. We believe this creates value through common ways of working and supports the execution of enterprise objectives which will ultimately help us achieve our strategic goals. By connecting face-to-face, we are better able to learn from our peers, solve problems together, and innovate. Our Hybrid Work Model categorizes each role into one of three categories. Western Union has determined the category of this role to be Hybrid. This is defined as a flexible working arrangement that enables employees to divide their time between working from home and working from an office location. The expectation for Hybrid roles in the Philippines is to work from the office at least 70% of the employee’s working days per month. We are passionate about diversity. Our commitment is to provide an inclusive culture that celebrates the unique backgrounds and perspectives of our global teams while reflecting the communities we serve. We do not discriminate based on race, color, national origin, religion, political affiliation, sex (including pregnancy), sexual orientation, gender identity, age, disability, marital status, or veteran status. The company will provide accommodation for applicants, including those with disabilities, during the recruitment process, following applicable laws. Estimated Job Posting End Date 07-13-2025 This application window is a good-faith estimate of the time that this posting will remain open. This posting will be promptly updated if the deadline is extended or the role is filled.

Job Description The candidate is required to have substantial experience (8-10 years) in data engineering or backend development within cloud-based environments. The role emphasizes the need for proficiency in Python, API development, and cloud-native solutions, specifically within AWS Primary Skill Python and APIs : Strong Python skills for developing secure APIs and scalable data pipelines. Cloud-Native Development : Experience with cloud-native environments, particularly AWS. Database Design and Data Operations : Solid understanding of database design and data operations, ensuring efficient data processing and management. Collaborative Development : Proficiency in using GitHub for version control, code review workflows, and collaborative development. API and Pipeline Performance Monitoring : Ability to optimize API and pipeline performance using AWS CloudWatch or similar tools. Secondary Skills Scalable Data Platform Experience : Knowledge of designing and implementing scalable data platforms. Data Governance : Understanding of data governance principles to ensure secure and governed data flows. Soft Skills Teamwork : Ability to work closely with product, DevOps, and architecture teams to ensure seamless integration and collaboration. Communication : Strong communication skills to articulate technical concepts and collaborate effectively across teams. Problem-Solving : Excellent problem-solving skills to address complex integration and performance challenges. (ref:hirist.tech)

You are 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 Corporate Technology team, 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 include executing standard software solutions, design, development, and technical troubleshooting. You will write secure and high-quality code using the syntax of at least one programming language with limited guidance, design, develop, code, and troubleshoot with consideration of upstream and downstream systems and technical implications. Additionally, you will apply technical troubleshooting to break down solutions and solve technical problems of basic complexity, gather, analyze, and draw conclusions from large, diverse data sets to identify problems, and contribute to decision-making in service of secure, stable application development. You will also learn and apply system processes, methodologies, and skills for the development of secure, stable code and systems, and add to the team culture of diversity, equity, inclusion, and respect. Required qualifications, capabilities, and skills include formal training or certification on software engineering concepts and 2+ years of applied experience. You should have 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 Java, AWS, experience across the whole Software Development Life Cycle, exposure to agile methodologies such as CI/CD, Application Resiliency, and Security, and emerging knowledge of software applications and technical processes within a technical discipline (Java, AWS, Python). Preferred qualifications, capabilities, and skills include AI/ML (good to have), familiarity with modern front-end technologies, and exposure to cloud technologies.,

About Us nCircle Tech Private Limited (Incorporated in 2012) empowers passionate innovators to create impactful 3D visualization software for desktop, mobile and cloud. Our domain expertise in CAD and BIM customization is driving automation with the ability to integrate advanced technologies like AI/ML and AR/VR, which empowers our clients to reduce time to market and meet business goals. nCircle has a proven track record of technology consulting and advisory services for AEC and Manufacturing industry across the globe. Our team of dedicated engineers, partner ecosystem and industry veterans are on a mission to redefine how you design and visualize. Job Description About the Position: We at nCircle Tech aspire to be an organization that provides exciting and challenging work to build next-generation software built using the latest technologies. We are looking for talented software engineers who have passion for developing programs in the domain of CAD/CAD/CAE/3D visualization. Key Responsibilities Include Research, explore, evaluate, and deploy open-source computer vision models for various use cases related to image and video validation, as well as 3D data such as CAD models or LiDAR point clouds . Requirements 3-5 years of experience in Computer vision, Data analytics Experience on Python (Must Have) Experience with Machine Learning/Deep Learning frameworks/libraries like Pytorch, & tensorflow. Stronghold in Data Structures and Algorithm Having strong experience in computer vision models for real time applications such as object detection, face recognition, & tracking along with semantic or instance segmentation. familiarity with LiDAR or 3D point cloud processing is a plus. Experience in Deep Learning (CNNs, RNNs, ANNs, Transformers) Experience in AWS C++ (Good to have) Terraform knowledge (Good to have) Good knowledge of Mathematical concepts Excellent written & verbal communication skills. Benefits An environment of growth and learning Opportunity to work with international and multicultural clients Lead a young and talented team Flexible working hours Team building events Training, books and all you need to feel empowered Industry leading compensation structures And a Referral Bonus if you bring other talented people like you check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#6875E2;border-color:#6875E2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered="">

Role Description This is a full-time hybrid role for a Python Developer (3-5 yrs) at Quokka Labs. The role involves back-end web development, software development, object-oriented programming (OOP), and databases. The position is based in Noida, with the flexibility for some work from Responsibilities : Work end-to-end on microservices and serverless architecture using cutting-edge technologies, with a strong focus on Python. Develop and maintain web applications, ensuring strong knowledge of various databases and their interaction with Python frameworks. Implement user authentication and authorization across multiple systems, servers, and environments. Gain hands-on experience in client/server application development and integrate with various systems, including Firebase. Maintain a proven track record of delivering projects successfully and on time. Required Skills & Qualifications Experience : 35 years of experience as a developer, specifically in Python. Python Expertise : Must be highly proficient in Python and its frameworks. Technical Skills : Strong practical experience with Microservices and Serverless architecture. Databases : Strong knowledge of databases (practical experience preferred). Programming Concepts : Solid understanding of Object-Oriented Programming (OOP) principles. Web Technologies : Experience in JavaScript and development with various integrations like Firebase. Software Development : Proven experience in back-end web development and client/server application development. (ref:hirist.tech)

Role : Test Manager (Manual and Automation Testing) Overview We are looking for a Test Manager with expertise in Automation Testing to lead and manage our QA team. This role involves defining automation strategies, overseeing test execution, and ensuring the quality of our software products. Key Responsibilities Lead QA Team : Manage, mentor, and guide a team of QA engineers. Automation Strategy : Develop and implement test automation frameworks using tools like Selenium, Cypress, and others. Test Planning : Create and execute detailed test plans; prioritize testing efforts. Collaboration : Work closely with developers and product managers to ensure comprehensive testing. Metrics and Reporting : Track and report on test progress, defects, and KPIs. Process Improvement : Continuously improve test processes and practices. Qualifications Experience : 7+ years in QA/testing, with strong experience in automation. Technical Skills : Proficient in Selenium, Java, Python, and CI/CD tools like Jenkins. Leadership : Strong team management, mentoring, and communication skills. Methodologies : Experience with Agile and Scrum. (ref:hirist.tech)

As an experienced Software Quality Assurance professional with 10-15 years of relevant experience, you will be responsible for leading test automation efforts for modern UI applications. Your primary focus will be on backend and services automation using Java and ensuring the development of robust Test Automation Frameworks. You should have a Bachelor's degree in Computer Science, Information Technology, or a related field, and possess strong proficiency in Python and Java programming languages. Your expertise in test automation tools such as Selenium, TestNG, JUnit, and Cucumber will be crucial in this role. Familiarity with version control systems like Git and CI/CD pipelines is essential. Knowledge of financial markets and equity derivatives would be highly beneficial for this position, as you may be working with risk management systems or similar complex financial applications. Excellent analytical and problem-solving skills are required, along with strong communication and interpersonal abilities. While an ISTQB certification would be a plus, it is not mandatory. The job is full-time and based in Mumbai, with a day shift schedule. The interview process consists of a virtual first round and compulsory face-to-face rounds, with the possibility of additional rounds. If you meet the qualifications and are looking to join a dynamic team in the software quality assurance field, we encourage you to apply for this exciting opportunity.,