3970 Versioning Jobs - Page 14

About Us HighLevel is a cloud-based, all-in-one white-label marketing and sales platform that empowers marketing agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. We are proud to support a global and growing community of over 2 million businesses, from marketing agencies to entrepreneurs to small businesses and beyond. Our platform empowers users across industries to streamline operations, drive growth, and crush their goals. HighLevel processes over 15 billion API hits and handles more than 2.5 billion message events every day. Our platform manages 470 terabytes of data distributed across five databases, operates with a network of over 250 microservices, and supports over 1 million domain names. Our People With over 1,500 team members across 15+ countries, we operate in a global, remote-first environment. We are building more than software; we are building a global community rooted in creativity, collaboration, and impact. We take pride in cultivating a culture where innovation thrives, ideas are celebrated, and people come first, no matter where they call home. Our Impact Every month, our platform powers over 1.5 billion messages, helps generate over 200 million leads, and facilitates over 20 million conversations for the more than 2 million businesses we serve. Behind those numbers are real people growing their companies, connecting with customers, and making their mark - and we get to help make that happen. Learn more about us on our YouTube Channel or Blog Posts About The Role We are looking for an experienced software engineer with strong technical and communication skills who has developed full stack web apps, created solid APIs and beautiful interfaces for consuming them in user friendly apps. Focusing on details and well written self documented code are essential for this position. You can expect to collaborate with a solid team of designers, product managers, developers and testers on a daily basis. You must be experienced in building highly scalable and resilient systems that can meet our customer needs. Your Responsibilities Responsible for developing scalable backend services for the Whatsapp team. Managing and Scaling our Infrastructure. Taking the lead in designing, developing and managing APIs, services along with connection with Meta APIs. Work with a great team of developers, designers and QA testers. Reviewing, writing clean, tested, manageable code for services that scale to affect thousands of users everyday. Troubleshoot, test, and maintain the core product software and databases to ensure strong optimization and functionality Your Core Skills Solid Experience in Full stack engineering with Node.js and modern Javascript frameworks like Vue.js[preferred], React.js, Angular. Proficient in building scalable applications and should be comfortable understanding the flow of the software. Experience with relational/non-relational databases ex: MySQL / MongoDB / Firestone and have used them to build backend services. Ability to design and build web services, and integrations with third parties through APIProficient understanding of code versioning tools such as Git / SVN Additional Skills Experience with GCP technologies. Experience with Stripe integrations. Experience building media streaming applications. Equal Employment Opportunity Information The company is an Equal Opportunity Employer. As an employer subject to affirmative action regulations, we invite you to voluntarily provide the following demographic information. This information is used solely for compliance with government recordkeeping, reporting, and other legal requirements. Providing this information is voluntary and refusal to do so will not affect your application status. This data will be kept separate from your application and will not be used in the hiring decision.

About the Role We are seeking a visionary and technically astute Lead AI Architect to lead the architecture and design of scalable AI systems and next-generation intelligent platforms. As a core member of the leadership team, you will be responsible for driving end-to-end architectural strategy, model optimization, and AI infrastructure that powers mission-critical solutions across our product lines. This is a foundational role for someone passionate about architecting solutions involving RAG , SLMs/LLMs , multi-agent systems , and scalable model pipelines across cloud-native environments. Salary 30 - 45 LPA with additional benefits. Key Responsibilities Define and own the AI/ML architectural roadmap , aligning with product vision and technical goals. Architect and oversee implementation of RAG-based solutions , LLM/SLM fine-tuning pipelines , and multi-agent orchestration . Lead design of model training and inference pipelines ensuring scalability, modularity, and observability. Evaluate and select open-source and proprietary foundation models for fine-tuning, instruction tuning, and domain adaptation. Guide integration of vector databases, semantic search, and prompt orchestration frameworks (LangChain, LlamaIndex, etc.). Ensure best practices in model deployment, versioning, monitoring , and performance optimization (GPU utilization, memory efficiency, etc.). Collaborate with Engineering, DevOps, Product, and Data Science teams to bring AI features to production. Mentor mid-level engineers and interns; contribute to technical leadership and code quality . Maintain awareness of latest research, model capabilities, and trends in AI. Required Skills & Qualifications 6+ years of hands-on experience in AI/ML architecture and model deployment. Expert-level knowledge of Python and libraries such as PyTorch, Hugging Face Transformers, scikit-learn, and FastAPI. Deep understanding of LLMs/SLMs, embedding models, tokenization strategies, fine-tuning, quantization, and LoRA/QLoRA. Proven experience with Retrieval-Augmented Generation (RAG) pipelines and vector DBs like FAISS, Pinecone, or Weaviate. Strong grasp of system design, distributed training, MLOps, and scalable cloud-based infrastructure (AWS/GCP/Azure). Experience with containerization (Docker), orchestration (Kubernetes), and experiment tracking (MLFlow, W&B). Experience in building secure and performant REST APIs , deploying and monitoring AI services in production. Nice to Have Exposure to multi-agent frameworks, task planners, or LangGraph. Experience leading AI platform teams or architecting enterprise-scale ML platforms. Familiarity with Data Governance, Responsible AI, and model compliance requirements. Published papers, open-source contributions, or patents in the AI/ML domain. Why Join Us Be at the forefront of innovation in AI and language intelligence. Influence strategic technical decisions and drive company-wide AI architecture. Lead a growing AI team in a high-impact, fast-paced environment. Competitive compensation, equity options, and leadership opportunity.

Job description Job description JD of a PHP and Laravel developer Job Title: PHP and Laravel developer Company Name: Hesten Solution Pvt Ltd Location:- 32/1, R.M.S. Colony, Old Subhedar Layout, Ambika Nagar, Manewada, Nagpur, Maharashtra 440024 Job Summary: We seek a talented PHP and Laravel developer to join our team. Role & responsibilities:- Overall responsible for the Implementation part of the project i.e. Getting things right Be responsible to deliver the project assigned by working in conjunction with the Manager Analyze the User Requirements and Technical requirements for the project Identify any unknowns i.e., missing scenarios, etc., and consult with PO to ensure those are defined either as a User story or UAC Identify any dependencies amongst the tasks and plan accordingly. Request help of ADMs if needed Perform code reviews Create technical documents as required for the project in Jira, Confluence, or other tools Provide daily updates of the team via Jira and Slack Key Skills Good knowledge of OOPs concepts Can write PHP code using Laravel based on Technical Documents and Requirements given Good knowledge of Restful API and SOAP architecture Working with databases, Query Optimization, and data structures for (MySQL, Postgres, MS SQL, MongoDB, etc.) Proficient understanding of code versioning tools, such as Git Can unit test to perfection & understand TDD practices Familiarity with cloud computing platforms – AWS / Azure / GCP Can develop a secure web API Application Instructions:- Please submit your resume and portfolio showcasing your design work. Include a cover letter highlighting your relevant experience on hr@hestensolutions.com . Job Type: Full-time Pay: ₹10,000.00 - ₹40,000.00 per month Location Type: In-person Schedule: Day shift Work Location: In person *Speak with the employer* +91 7888040789 Job Type: Full-time Pay: ₹10,000.00 - ₹40,000.00 per month Schedule: Day shift Work Location: In person Job Type: Full-time Pay: ₹10,000.00 - ₹40,000.00 per month Location Type: In-person Work Location: In person Speak with the employer +91 7888040789

Job Description: Participate in design discussions/scrum meetings. Develop microservices using Java, Spring Boot, and Cassandra. Develop REST APIs for other systems to interface with our microservice platforms Working with Cassandra database to store and retrieve application data CI/CD Integration using Jenkins to validate code security and push software builds to Dev/Test/Prod sites Checking code into GitHub with proper versioning and release notes Write unit tests using JUnit and integration tests Load test components using JMeter and ensure that the applications are horizontally scalable. Support operations team with troubleshooting production issues. Describe any special skills that you want an applicant to have (certifications, knowledge, experience, etc.) Overall 10+ years in software development 3+ years of experience with Cassandra. 4+ years of experience with Unix (Ubuntu preferred) Experience with (REST) API development Experience with Git, Maven, and Gradle Experience in performance tuning APIs, using profilers, analyzing heap dumps Experience with distributed caching mechanisms and messaging systems (HazelCast) Some experience with IP Networking and Troubleshooting Experience with Kubernetes, Docker is a plus Experience with Open Search, FluentBit, and TView Weekly Hours: 40 Time Type: Regular Location: Bangalore, Karnataka, India It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.

Date Posted: 2025-07-28 Country: India Location: North Gate Business Park Sy.No 2/1, and Sy.No 2/2, KIAL Road, Venkatala Village, Chowdeshwari Layout, Yelahanka, Bangalore, Karnataka 560064 Position Role Type: Unspecified Overview: We are seeking a talented and experienced Full Stack Developer to join our team and work on the development of a Digital Twin platform for visualizing 3D models and other data from internal APIs. The project will leverage AWS TwinMaker to visualize 3D scans and images, creating a robust, real-time prototype. As a well-rounded software engineer, you will play a key role in developing and integrating both front-end and back-end components for a seamless, interactive, and efficient Digital Twin experience. Major / Primary Responsibilities: Software Application Development in an Agile Product development environment Adhering to Agile Project management methodologies and meet client delivery schedules Understanding of functional requirements, requirements analysis, Design and estimation of tasks Development and Coding using Python for Backend and React for front end. Good to have skills – AWS twin maker or similar technologies like AWS IoT core. Adhering to coding standards, Unit Testing, and Integration Testing Perform Code review of peers. Secondary Responsibilities: Excellent communication with stakeholders on status/progress of tasks and support calls along with ability to lead conversations about product maturation and direction. Functional knowledge of cloud computing, Kubernetes and AWS services. Ensuring adherence to Quality management, Quality process and standards, documentation Ensuring that the KRA/KPI points set are met in a time bound fashion. Required Candidate profile Candidate should have at least 7+ years of full stack development experience. Expert in Python (minimum 6+ years), with knowledge of at least one Python web framework such as Django, Flask, etc. Experience with AWS twinmaker or similar technologies like AWS IoT core. Writing reusable, testable, and efficient code Design and implementation of low-latency, high-availability, and performant applications Ability to develop front end using React or similar tools. Ability to integrate front end and back end. Good understanding of DevOps principles. Proficient understanding of code versioning tools such as Git or SVN. Good Understanding and working knowledge of Docker for containerization. Good Understanding and working knowledge of Kubernetes. Understanding and working knowledge of Java is a good to have skill. Familiarity with event-driven programming in Python Understanding of fundamental design principles behind a scalable application Strong unit test and debugging skills Basic Qualifications: Bachelor's/Master's degree in Engineering Collins Aerospace, a Raytheon Technologies company, is a leader in technologically advanced and intelligent solutions for the global aerospace and defense industry. Collins Aerospace has the capabilities, comprehensive portfolio and expertise to solve customers’ toughest challenges and to meet the demands of a rapidly evolving global market. Collins Aerospace’s Aerostructures business is a world leader in the design, manufacture, integration and support of nacelles - the aerodynamic structures which house aircraft engines. Our nacelle technologies improve fuel efficiency, reduce engine noise and supply critical stopping power when an airplane lands. Today, our innovative nacelle systems are featured on many of the world’s newest and most game-changing commercial, regional and business jet platforms. And we’re not stopping there: we’re working hard to create the next generation of nacelles that are greener, quieter and more efficient. In addition, our Engineered Polymer Products division is a leading developer and manufacturer of advanced, high-performance composite and elastomeric structures and products for marine applications. Whether in the air or underwater, we’re pushing the limits of innovation. Want to join us on this important journey? WE ARE REDEFINING AEROSPACE. Please consider the following role type definitions as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Hybrid: Employees who are working in Hybrid roles will work regularly both onsite and offsite. Ratio of time working onsite will be determined in partnership with your leader. Remote: Employees who are working in Remote roles will work primarily offsite (from home). An employee may be expected to travel to the site location as needed. Regardless of your role type, collaboration and innovation are critical to our business and all employees will have access to digital tools so they can work with colleagues around the world – and access to Collins sites when their work requires in-person meetings. Some of our competitive benefits package includes: Benefits package includes: Transportation facility. Group Term Life Insurance. Group Health Insurance. Group Personal Accident Insurance. Entitled for 18 days of vacation and 12 days of sick leave annually. Employee scholar programme. Work life balance. Car lease programme. National Pension Scheme LTA Fuel & Maintenance /Driver wages Meal vouchers Nothing matters more to Collins Aerospace than our strong ethical and safety commitments. As such, all India positions require a background check, which may include a drug screen. Note: Background check required (every external new hire in the India) Drug Screen only performed for Operations Positions At Collins, the paths we pave together lead to limitless possibility. And the bonds we form – with our customers and with each other - propel us all higher, again and again. Apply now and be part of the team that’s redefining aerospace, every day. RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law. 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Job Profile : Learn and assist in building web applications using PHP, MySQL, HTML, CSS, JavaScript, and Bootstrap. Support in the development and maintenance of frontend and backend modules. Participate in the integration of RESTful APIs and external services. Assist in optimizing websites for performance, scalability, and responsiveness. Maintain code versioning using Git/GitHub. Learn and implement MVC architecture and optionally explore frameworks/CMS like WordPress, Laravel and CodeIgniter. Skills Required : Qualification: Bachelor in Computer Engineering/IT. Basic understanding of Core PHP and MySQL. Familiarity with HTML5, CSS3, JavaScript, and Bootstrap. Knowledge of Object-Oriented Programming (OOP) and basic MVC concepts. Exposure to frontend tools or libraries (jQuery, basic React or Vue.js knowledge is a plus). Awareness of any PHP framework like Laravel, CodeIgniter is an added advantage. Strong logical & problem solving skill. Time management and organizational skills. What We Offer : Hands-on experience with real projects. Mentorship from expert developers. Certificate of Internship. Opportunity for a full-time position based on performance. Internship Duration : 3-6 Months Note: Only Gujarat based candidates can apply Job Type: Full-time Pay: From ₹5,000.00 per month Schedule: Day shift Monday to Friday Work Location: In person Expected Start Date: 29/07/2025

Key Responsibilities: Lead, mentor, and guide a team of Python developers to deliver scalable and maintainable solutions. Design end-to-end Python applications with a strong focus on performance, scalability, and security. Define technical strategies, coding standards, and development best practices for the team. Collaborate with cross-functional teams including Product, Design, and QA to deliver features as per roadmap. Oversee code reviews, testing frameworks, CI/CD pipelines, and ensure quality standards are maintained. Work closely with stakeholders to understand requirements, estimate effort, and manage project execution using Agile methodologies. Provide technical solutions for complex problems and troubleshoot issues effectively. Stay current with Python advancements, frameworks, and relevant technologies to drive innovation. Manage task distribution, timelines, and team productivity across projects. Required Technical Skills Proficient in Python and related libraries Deep knowledge of Python frameworks such as Django, Flask, or FastAPI. Expertise in developing RESTful APIs and integrating with third-party services. Experience with cloud platforms like AWS, GCP, or Azure. Familiarity with containerization tools like Docker and Kubernetes. Strong background in database and cache systems - SQL and NoSQL. Working knowledge of CI/CD, unit testing frameworks, and code versioning tools (Git). Understanding of Agile/Scrum methodologies and DevOps practices. Team & Project Management Experience in mentoring and managing a team of developers. Ability to manage sprints, timelines, task assignments, and client communication. Excellent problem-solving abilities and a structured approach to debugging and root cause analysis. Strong documentation habits for APIs, deployment processes, and codebase architecture. Requirements Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or related field. 7+ years of hands-on experience in Python development, with at least 2+ years in a technical lead role. Strong grasp of design patterns and clean coding practices. Effective communicator with the ability to present solutions to both technical and non-technical audiences.

Experience level - intermediate Developer Responsibilities: ● Meeting with clients to discuss website design and function. ● Experience in SEO prefers ● Designing and building the website front-end. ● Creating the website architecture. ● Designing and managing the website back-end including database and server integration. ● Generating themes and plugins. ● Conducting website performance tests. ● Troubleshooting content issues. ● Conducting training with the client. ● Monitoring the performance of the live website. Developer Requirements: ● Bachelor’s degree in computer science or a similar field. ● Proven work experience as a WordPress developer of 1- 2 years. ● Knowledge of front-end technologies including CSS3, JavaScript, and jQuery. ● strong knowledge of PHP programming ● Knowledge of code versioning tools ● Experience working with debugging tools such as Chrome Inspector and Firebug. ● Good understanding of website architecture and aesthetics. ● Ability to manage projects. ● Good communication skills. Job Type: Full-time Pay: ₹25,000.00 - ₹35,000.00 per month Schedule: Day shift Ability to commute/relocate: Ernakulam, Ernakulam - 682025, Kerala: Reliably commute or planning to relocate before starting work (Required) Education: Bachelor's (Preferred) Experience: PHP: 1 year (Required) web design: 1 year (Required) total work: 3 years (Required) Web development: 1 year (Required)

Tips: Provide a summary of the role, what success in the position looks like, and how this role fits into the organization overall. Responsibilities Design, build, and optimize Python‑based APIs using Flask or FastAPI. Develop high‑performance microservices to process and route LLM prompts securely and efficiently. Handle high‑traffic, low‑latency workloads , applying profiling and optimization techniques. Integrate with internal tools and third‑party APIs to enforce safety, security, and compliance rules. Write clean, scalable, and well‑tested code following best engineering practices. Containerize and deploy services using Docker and, optionally, Kubernetes. Collaborate closely with AI/ML and security teams to implement guardrails across LLM workflows. Qualifications 3–5 years of professional experience in backend development with a strong focus on Python Proven experience with Flask or FastAPI , with a solid understanding of API design, versioning, and documentation best practices. Proficiency in Pandas for rapid data inspection and manipulation. Comfortable working with Docker ; exposure to Kubernetes is a plus. A performance‑focused mindset with attention to latency, throughput, and concurrency.

Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. What you will do Let’s do this. Let’s change the world. In this vital role you will work as a member of a Data Platform Engineering team that uses Cloud and Big Data technologies to craft, develop, implement and maintain solutions to support various functions like Manufacturing, Commercial, Research and Development. Roles & Responsibilities: Collaborate with Lead Architect, Business SMEs, and Data Scientists to design data solutions Serve as a Lead Engineer for technical implementation of projects including planning, architecture, design, development, testing, and deployment following agile methodologies Design and development of API services for managing Databricks resources, services & features and to support data governance applications to manage security of data assets following the standards Design and development of enterprise-level re-usable components, frameworks and services to enable data engineers Proactively work on challenging data integration problems by implementing efficient ETL patterns, frameworks for structured and unstructured data Automate and optimize data pipeline and framework for easier and efficient development process Overall management of the Enterprise Data Fabric/Lake on AWS environment to ensure that the service delivery is efficient and business SLAs around uptime, performance and capacity are met Help define guidelines, standards, strategies, security policies and change management policies to support the Enterprise Data Fabric/Lake Advice and support project teams (project managers, architects, business analysts, and developers) on cloud platforms (AWS, Databricks preferred), tools, technology, and methodology related to the design, build scalable, efficient and maintain Data Lake and other Big Data solutions Experience developing in an Agile development environment and ceremonies Familiarity with code versioning using GITLAB, and code deployment tools Mentor junior engineers and team members What we expect of you Basic Qualifications Doctorate degree / Master's degree / Bachelor's degree and 8 to 13 years in Computer Science or Engineering Must-Have Skills: Proven hands-on experience with cloud platforms—AWS (preferred), Azure, or GCP. Strong development experience with Databricks, Apache Spark, PySpark, and Apache Airflow. Proficiency in Python-based microservices development and deployment. Experience with CI/CD pipelines, containerization (Docker, Kubernetes/EKS), and infrastructure-as-code tools. Demonstrated ability to build enterprise-grade, performance-optimized data pipelines in Databricks using Python and PySpark, following best practices and standards. Solid understanding of SQL and relational/dimensional data modelling techniques. Strong analytical and problem-solving skills to address complex data engineering challenges. Familiarity with software engineering standard methodologies, including version control, automated testing, and continuous integration. Hands-on experience with key AWS services: EKS, EC2, S3, EMR, RDS, Redshift/Spectrum, Lambda, and Glue. Exposure to Agile tools such as Jira or Jira Align. Good-to-Have Skills: Experience building APIs and services for provisioning and managing AWS Databricks environments. Knowledge of Databricks SDK and REST APIs for managing workspaces, clusters, jobs, users, and permissions. Familiarity with building AI/ML solutions using Databricks-native features. Experience working with SQL/NoSQL databases and vector databases for large language model (LLM) applications. Exposure to model fine-tuning and timely engineering practices. Experience developing self-service portals using front-end frameworks like React.js. Ability to thrive in startup-like environments with minimal direction. Good communication skills to effectively present technical information to leadership and respond to collaborator inquiries. Certifications (preferred but not required): AWS Certified Data Engineer Databricks Certification SAFe Agile Certification Soft Skills: Strong analytical and problem-solving attitude with the ability to troubleshoot sophisticated data and platform issues. Exceptional communication skills—able to translate technical concepts into clear, business-relevant language for diverse audiences. Collaborative and globally minded, with experience working effectively in distributed, multi-functional teams. Self-motivated and proactive, demonstrating a high degree of ownership and initiative in driving tasks to completion. Skilled at managing multiple priorities in fast-paced environments while maintaining attention to detail and quality. Team-oriented with a growth mindset, contributing to shared goals and fostering a culture of continuous improvement. Effective time and task management, with the ability to estimate, plan, and deliver work across multiple projects while ensuring consistency and quality What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now for a career that defies imagination Objects in your future are closer than they appear. Join us. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Summary 7 years of experience In this role, you pride yourself on staying at the cutting edge of UI design and development. You are equally comfortable creating an interactive prototype, and developing maintainable CSS/SASS/LESS, HTML, and JavaScript. You believe that semantic markup, web accessibility and performance optimization are musthaves on every page you deliver, and you devour articles describing ways to improve the quality of the user experience. 68 years of experience in developing frontend code for an enterprise content management system (e.g., Adobe Experience Manager, Sitecore). Responsibilities Produce great frontend code. You enjoy producing clean, easytoread, semantic HTML markup and CSS, adhering to W3C specs and best practices. Youre skilled at architecting modular, maintainable, and extensible CSS code. (Deep experiences with SASS a major plus.) Youre also deeply familiar with jQuery and the best plugins. Leverage modular CSS methodologies like BEM, OOCSS Develop new userfacing features based on provided designs and style system Build reusable code and libraries for future use Optimize frontend pages for maximum speed and scalability, with a focus on Core Web Vitals Ensure pages adhere to accessibility standards specifically WCAG 2.2 AA conformance Assure that all user input is validated before submitting to backend Collaborate with other team members and stakeholders Ensure the application scales well across browsers (Cross Browser Testing) Build UI components using Storybook. Experience in using Figma a plus Key capabilities Proficient understanding of web markup, including HTML5 and CSS3 Proficient understanding of core web vitals and techniques for optimizing page load times Strong knowledge of Twitter Bootstrap framework and Responsive Design using media jQuery Collaborate with crossfunctional teams to integrate UI components into a content management system Basic understanding of AEMs Sightly/HTL Proficient in using Font, icons and implement using CSS3 Conduct thorough testing of UI components to ensure compatibility and adherence to quality standards. Proficient understanding of crossbrowser compatibility issues and ways to work around them Fair understanding of JavaScript programming and DOM manipulation Good understanding of SEO principles and ensuring that the application will adhere to them Proficient understanding of code versioning tools, such as Git / SVN Provide clear and comprehensive documentation for developed UI components. Effectively communicate with team members, stakeholders, and project managers. Experience in Agile development is a plus Education Bachelors degree in Computer Science, Engineering, or a related field. Adobe Experience Cloud related certifications preferred. About Virtusa Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us. Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence. Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Bengaluru, India Full-time Consulting Hybrid Tietoevry Create Job Description Programming : .Net Core, Advanced C# with strong Object-oriented concepts, REST API , RabbitMQ, Entity Framework with strong analytical and debugging skill sets CI/CD & DevOps Tools: Azure DevOps, Code coverage tools (ex: SonarQube), Application Insights Database: SQL Source Control & Versioning: TFS, GIT Additional Information At Tietoevry, we believe in the power of diversity, equity, and inclusion. We encourage applicants of all backgrounds, genders (m/f/d), and walks of life to join our team, as we believe that this fosters an inspiring workplace and fuels innovation. Our commitment to openness, trust, and diversity is at the heart of our mission to create digital futures that benefit businesses, societies, and humanity. Diversity, equity and inclusion (tietoevry.com)

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 Description Fiche de poste : Moving our world forward by delivering what matters! UPS is a company with a proud past and an even brighter future. Our values define us. Our culture differentiates us. Our strategy drives us. At UPS we are customer first, people led and innovation driven. UPS’s India based Technology Development Centers will bring UPS one step closer to creating a global technology workforce that will help accelerate our digital journey and help us engineer technology solutions that drastically improve our competitive advantage in the field of Logistics. ‘Future You’ grows as a visible and valued Technology professional with UPS, driving us towards an exciting tomorrow. As a global Technology organization we can put serious resources behind your development. If you are solutions orientated, UPS Technology is the place for you. ‘Future You’ delivers ground-breaking solutions to some of the biggest logistics challenges around the globe. You’ll take technology to unimaginable places and really make a difference for UPS and our customers. Job Summary This position provides input, support, and performs full systems life cycle management activities (e.g., analyses, technical requirements, design, coding, testing, implementation of systems and applications software, etc.). He/She participates in component and data architecture design, technology planning, and testing for Applications Development (AD) initiatives to meet business requirements. This position provides input to applications development project plans and integrations. He/She collaborates with teams and supports emerging technologies to ensure effective communication and achievement of objectives. This position provides knowledge and support for applications development, integration, and maintenance. He/She provides input to department and project teams on decisions supporting projects. Responsibilities Performs systems analysis and design. Designs and develops moderate to highly complex applications. Develops application documentation. Produces integration builds. Performs maintenance and support. Supports emerging technologies and products. Qualifications Bachelor’s Degree or International equivalent Bachelor's Degree or International equivalent in Computer Science, Information Systems, Mathematics, Statistics, or related field - Preferred Relevant Years of Experience :7-10 years (Middle Tier - Senior/Leads) Primary Skills Strong proficiency in Java programming language, understanding of core Java concepts, including multithreading, collections, and exception handling. Knowledge of RESTful and/or SOAP API design principles, experience with API modeling languages like Swagger or RAML. Understanding of API versioning, authentication, and authorization. Proficiency in building and consuming web services. Experience in using Spring Boot for building microservices. Understanding of OAuth, JWT, and other authentication/authorization mechanisms. Proficiency in using version control systems, such as Git. Understanding of continuous integration and continuous deployment (CI/CD) practices, Knowledge of containerization technologies like Docker. Understanding of performance optimization techniques for APIs. Secondary Skills Knowledge of Agile Development Excellent written and verbal communication skills Must be a team player who shows initiative and is detail-oriented Coaching of Junior developers 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.

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: We are seeking a highly skilled MLOps Engineer to design, deploy, and manage machine learning pipelines in Google Cloud Platform (GCP). In this role, you will be responsible for automating ML workflows, optimizing model deployment, ensuring model reliability, and implementing CI/CD pipelines for ML systems. You will work with Vertex AI, Kubernetes (GKE), BigQuery, and Terraform to build scalable and cost-efficient ML infrastructure. The ideal candidate must have a good understanding of ML algorithms, experience in model monitoring, performance optimization, Looker dashboards and infrastructure as code (IaC), ensuring ML models are production-ready, reliable, and continuously improving. You will be interacting with multiple technical teams, including architects and business stakeholders to develop state of the art machine learning systems that create value for the business. Responsibilities Managing the deployment and maintenance of machine learning models in production environments and ensuring seamless integration with existing systems. Monitoring model performance using metrics such as accuracy, precision, recall, and F1 score, and addressing issues like performance degradation, drift, or bias. Troubleshoot and resolve problems, maintain documentation, and manage model versions for audit and rollback. Analyzing monitoring data to preemptively identify potential issues and providing regular performance reports to stakeholders. Optimization of the queries and pipelines. Modernization of the applications whenever required Qualifications Expertise in programming languages like Python, SQL Solid understanding of best MLOps practices and concepts for deploying enterprise level ML systems. Understanding of Machine Learning concepts, models and algorithms including traditional regression, clustering models and neural networks (including deep learning, transformers, etc.) Understanding of model evaluation metrics, model monitoring tools and practices. Experienced with GCP tools like BigQueryML, MLOPS, Vertex AI Pipelines (Kubeflow Pipelines on GCP), Model Versioning & Registry, Cloud Monitoring, Kubernetes, etc. Solid oral and written communication skills and ability to prepare detailed technical documentation of new and existing applications. Strong ownership and collaborative qualities in their domain. Takes initiative to identify and drive opportunities for improvement and process streamlining. Bachelor’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. Bonus Qualifications Experience in Azure MLOPS, Familiarity with Cloud Billing. Experience in setting up or supporting NLP, Gen AI, LLM applications with MLOps features. Experience working in an Agile environment, understanding of Lean Agile principles. Employee Type Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.

Job Title: Data Engineer (Microsoft Fabric & Lakehouse) Location: Hybrid – Bangalore, India Experience: 5+ Years Joining: Immediate Key Responsibilities ● Design and build robust data pipelines using Microsoft Fabric components including Pipelines, Notebooks (PySpark), Dataflows, and Lakehouse architecture. ● Ingest and transform data from a variety of sources such as cloud platforms (Azure, AWS), on-prem databases, SaaS platforms (e.g., Salesforce, Workday), and REST/OpenAPI-based APIs. ● Develop and maintain semantic models and define standardized KPIs for reporting and analytics in Power BI or equivalent BI tools. ● Implement and manage Delta Tables across bronze/silver/gold layers using Lakehouse medallion architecture within OneLake or equivalent environments. ● Apply metadata-driven design principles to support pipeline parameterization, reusability, and scalability. ● Monitor, debug, and optimize pipeline performance; implement logging, alerting, and observability mechanisms. ● Establish and enforce data governance policies including schema versioning, data lineage tracking, role-based access control (RBAC), and audit trail mechanisms. ● Perform data quality checks including null detection, duplicate handling, schema drift management, outlier identification, and Slowly Changing Dimensions (SCD) type management. Required Skills & Qualifications- ● 5+ years of hands-on experience in Data Engineering or related fields. ● Solid understanding of data lake/lakehouse architectures, preferably with Microsoft Fabric or equivalent tools (e.g., Databricks, Snowflake, Azure Synapse). ● Strong experience with PySpark, SQL, and working with dataflows and notebooks. ● Exposure to BI tools like Power BI, Tableau, or equivalent for data consumption layers. ● Experience with Delta Lake or similar transactional storage layers. ● Familiarity with data ingestion from SaaS applications, APIs, and enterprise databases. ● Understanding of data governance, lineage, and RBAC principles. ● Strong analytical, problem-solving, and communication skills.

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Customer Success Job Details About Salesforce We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place. Job Description The Technical Consulting Senior Manager is a leader of leaders, responsible for successfully designing and managing the successful delivery of complex Salesforce solutions for our customers. These technologies include—but are not necessarily limited to Salesforce.com products and APIs, Apex/Visualforce, Lightning, mobile development technologies, and integration/ETL technologies. You are both a big picture thinker and in-depth problem solver, your knowledge and skills are both broad and deep. You take pride in designing systems that stand up to high volumes and won't fail at critical points. You have a good mix of technical and enterprise skills from a technology perspective. The solutions you design are built for the long-term and will scale with the customer's growth plans seamlessly. You have proven experience integrating systems via API’s as well as a strong development background. You are able to lead and motivate a team of highly capable individuals and help them meet their targets while enabling their growth. Responsibilities And Requirements Collaborate with client stakeholders to define requirements, deliverables, and set and manage expectations Lead technical design sessions. Design and document technical solutions aligned with client business objectives; identify gaps between client's current and desired end states Provide oversight and governance of Salesforce projects Follow and help define coding standards. Lead code reviews during projects to ensure quality and appropriate design patterns are followed Manage the technical delivery of custom development, integrations, and data migration elements of a Salesforce implementation Ability to understand a project and debug issues From time-to-time, participate in activities such as technical landscape discovery , Proof-Of-Concept (POC) development with prospects Liaise with Salesforce product teams to support client implementations Expert level understanding of the Salesforce product suite, including Sales, Service, Community, Marketing, and Commerce Clouds Understanding of systems architecture Understanding of key design patterns and large data volume limitations and best practices Understanding of data sharing and visibility considerations and how these play into platform architecture Familiarity with platform authentication patterns (SAML, SSO, OAuth) Knowledge of data integration tools and experience integrating Salesforce with different business systems (ETL, CPQ, marketing automation, reporting, etc.) Strong understanding of environment management, release management, code versioning best practices, and deployment methodologies Strong background in design/development of large web-based systems, or complete software product lifecycle exposure Lead a technical team and own customer and team engagement Travels to client sites for projects, estimated 50-75% Maintain a target billable utilisation aligned to the role 12-18 years CRM experience with a minimum of 6 years on the Salesforce platform Maintain billable utilisation targets for your team Technical enablement of team members on the latest Salesforce products and processes Working with global teams for delivery across geographies. We will need you to be flexible with your work hours Active Salesforce certifications or ability to achieve relevant certifications upon hire Leader of Leaders Experience building & growing a practice Must have managed a team of technical & solution implementors Accommodations If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world. DigitalOcean (NYSE: DOCN) simplifies cloud computing so builders can spend more time creating software that changes the world. With our mission-critical infrastructure and fully managed offerings, DigitalOcean enables startups and small and medium-sized businesses (SMBs) to rapidly deploy and scale modern applications. As a remote-first organization, our employees, like our customers, are based around the world. We are looking for a Associate Cloud Support Engineer for our GPU product with expertise in cloud infrastructure to support the acquisition, growth, and retention of our high-value customers, focusing on the exciting and cutting-edge space of Artificial Intelligence / Machine Learning, while also being the first point of technical escalation from our Support Team. Our support team offers some of the best customer and technical support in our field, and we’re looking for smart, empathetic, and motivated individuals to grow with us. Working directly with our AI/ML teams, the Cloud Support Engineer will be the technical subject matter expert advising on best practices and guiding customers to the optimal solution to meet their business objectives. The Cloud Support Engineer will work closely with other functions within Paperspace & DigitalOcean such as Product, Engineering, and Operations to ensure the company is meeting the needs and insights of our AI/ML customers. Technical depth, excellent communication skills, and a self-starter mentality are needed. Day to day, we expect this role to be speaking with our High-Value customers around the world, highlighting Digital Ocean’s AI platform and taking a hands-on approach if needed to onboard and support customers, being a conduit to the engineering team to convey the needs of our AI/ML customers, and working on Professional Services contracts to build out AI/ML solutions from scratch. We also expect this role to be the first point of escalation for the Support Team to solve complex technical issues. What You Will Be Doing Develop deep expertise on the Paperspace/Digital Ocean product portfolio and the evolving Cloud landscape with a key focus on our AI/ML offerings Liaise with support and engineering teams to ensure customer escalations and obstacles to growth are resolved in a timely fashion Work directly with Customer Success to ensure the expansion and retention of businesses as they build on top of our cloud Drive adoption from high-value customers as a key part of the business expansion process through technical consultation on multiple channels (e.g. video calls, email, Slack) Build out full AI/ML solutions for customers who work with DO’s professional services offering Diagram and plan infrastructure architecture to support specific use cases, and comfortably explain in detail Working both collaboratively and independently within a team setting (we love Slack!) Conduct demonstrations to clients clearly articulating DigitalOcean product benefits and functionality Contribute to internal and external technical documentation Provide technical training to enable our teams and our partners Identify and communicate process improvement suggestions, drive technical best practices within the organization, and communicate customer feedback and trends into the product lifecycle process Work both independently and collaboratively with a Global team of highly talented Solutions Engineers Partner with Engineering to identify, track, and resolve bugs Contribute to external Help Center and internal Knowledge Base and add to the documentation Triaging, escalating, prioritizing, and following up with incidents or customer-impacting events Making informed decisions to solve issues that balance the needs of customers and the company Sharing best practices, and knowledge and improving your team while seeking the same in return. What We'll Expect From You Strong troubleshooting skills Deep Knowledge of Bare Metal and Virtualized environments Experience working in a pre-sales / Technical Support/Consultant role preferably in a SaaS/startup with a passion for customer experience Highly empathetic team members who are great at communicating complex information in a digestible format to Support Specialists and customers at all knowledge levels Deep knowledge of Linux and distributed systems ie: Tools like ssh, scp, rcopy, df, systemctl, journalctl, dmesg, nvidia-smi, strace, dtrace Understand package configuration, versioning and update process on Linux Understand linux networking stack configuration for server and desktop versions of Linux Understand the basics of setting up and using NFS clients and servers Debug and configure python and python-based ML tools. Update and verify Nvidia & AMD device drivers Use docker-ce and container tools as a user. Proven professional experience with cloud infrastructure experience, or equivalent education Deep Knowledge of Networking Concepts and troubleshooting - TCP/IP, computer networking, routing, and switching Deep understanding and experience of a variety of AI/ML solutions from computer vision to LLMs, to speech-to-text Ability to take an AI/ML idea from model development, to testing, to deployment, to monitoring and managing Familiarity with data-parallel and model parallel techniques, such as Tensorflow Distributed, DDP, Distributed Pytorch. Programming/development experience Knowledge of provisioning and deployment strategies and tools Track record of developing successful technical solutions to business problems for clients Ability to balance the demands of multiple stakeholders, define priorities, and set appropriate expectations Passionate about technology and open-source projects Quickly learn DigitalOcean systems and adapt to rapid changes Highly motivated with a self-starter mentality Extra Credit Cloud certifications are highly desired Programming/Scripting: Ruby, Python, Go, Bash Source Code: Git Automation: Terraform, Ansible, Chef, Puppet, Saltstack Virtualization: KVM, Xen Databases: MongoDB, MySQL, Redis, PostgreSQL Open Source: CoreOS, Docker, Kubernetes, Vagrant DigitalOcean/Paperspace: API, libraries, services Why You’ll Like Working For DigitalOcean We reward our employees. The salary range for this position is based on relevant years of experience and skills. Employees may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees including grants of equity upon hire and the option to participate in our Employee Stock Purchase Program. We value development. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that is always challenging our teams and employees to continuously grow. We maintain a growth mindset in everything we do and invest deeply in employee development through formalized mentorship and other internal programs. We provide all employees with reimbursement for relevant conferences, training, and education. We care about your well-being. In addition to cash and equity compensation, we also offer employees a competitive array of benefits. While the philosophy around our benefits is the same worldwide, specific benefits may vary in other countries due to local regulations and preferences. We value diversity and inclusivity. We are an equal-opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Technical/Functional OTM Specialist Position Overview Position: Technical Functional OTM Specialist Type: Contract (Freelance) from India Hours: US Eastern Time Zone (8:00am – 5:00pm EST) Seeking an experienced Oracle Transportation Management (OTM) Specialist to support two major initiatives: ➢ OTM Upgrade Project – Complete an in-place upgrade to OTM version 6.5.3 across three environments by year-end. ➢ Enhancements– Develop and deploy functionality tailored to new business needs. This role requires deep technical and functional OTM expertise, with a strong emphasis on system upgrades, functional development, database administration, and infrastructure alignment. Key Responsibilities • Lead and execute OTM upgrade efforts across dev, test, and production environments. • Design and implement enhancements and new functionalities in OTM aligned with business processes. • Perform comprehensive testing for upgrades, customizations, and new features. • Create, review, and optimize stored procedures, SQL queries, and database objects to ensure performance • Collaborate with infrastructure teams on database, server, and middleware configurations • Manage patching, versioning, and post-upgrade stability. • Troubleshoot and resolve OTM-related issues. • Provide documentation and knowledge transfer to internal teams. • Participate in performance testing and support capacity planning Qualifications • 7+ years of hands-on experience with Oracle Transportation Management (OTM) • At least 2 full lifecycle OTM upgrade projects, including upgrades to version 6.5x or higher • Strong expertise of OTM architecture, configuration, workflows, and integrations points • Experience with Oracle DB administration including schema updates, performance tuning, and backup/recovery • Understanding of OTM infrastructure components and middleware. • Proficiency in SQL, PL/SQL; proven ability to create and optimize stored procedures • Excellent communication, problem-solving, and cross-functional collaboration skills. • Experience in transportation, logistics, or supply chain environments preferred. • Familiarity with performance testing frameworks and OTM system capacity planning

Founding AI Engineer Location: Sector 63, Gurgaon – On‑site Working Days: Monday to Saturday (2nd and 4th Saturdays are working) Working Hours: 10:30 AM – 8:00 PM Experience: 4 – 8 years of hands‑on AI/ML engineering in production environments Apply: careers@darwix.ai Subject Line: Application – Founding AI Engineer – [Your Name] About Darwix AI Darwix AI is a GenAI SaaS platform transforming how enterprise revenue and service teams operate. Our products— Transform+ , Sherpa.ai , and Store Intel —deliver multilingual speech‑to‑text, live coaching nudges, behavioural scoring, and computer‑vision insights for clients such as IndiaMart, Wakefit, Bank Dofar, Sobha, and GIVA. Backed by leading investors and built by IIT/IIM/BITS alumni, we are expanding rapidly across India, MENA, and Southeast Asia. Role Overview As the Founding AI Engineer , you will own the design, development, and deployment of Darwix AI’s core machine‑learning and generative‑AI systems from the ground up. You will work directly with the CTO and founders to convert ambitious product ideas into scalable, low‑latency services powering thousands of live customer interactions daily. This is a zero‑to‑one, high‑ownership role that shapes the technical backbone—and the culture—of our AI organisation. Key Responsibilities End‑to‑End Model Build & Deployment Architect, train, and fine‑tune multilingual speech‑to‑text, diarisation, NER, summarisation, and scoring models (Whisper, wav2vec 2.0, transformer‑based NLP). Design RAG pipelines and prompt‑engineering frameworks with commercial and open‑source LLMs (OpenAI, Mistral, Llama 2). Build GPU/CPU‑optimised inference micro‑services in Python/FastAPI with strict latency budgets. Production Engineering Implement asynchronous processing, message queues, caching, and load balancing for high‑concurrency voice and text streams. Establish CI/CD, model versioning, A/B testing, and automated rollback for ML APIs. Data Strategy & Tooling Define data‑collection, labelling, and active‑learning loops; build pipelines for continuous model improvement. Create evaluation harnesses (WER, ROUGE, AUROC, latency) and automate nightly regression tests. Security & Compliance Implement role‑based access, encryption‑at‑rest/in‑transit, and audit logging for all AI endpoints. Ensure adherence to enterprise infosec requirements and regional data‑privacy standards. Cross‑Functional Collaboration Partner with product managers to translate customer pain points into technical requirements and success metrics. Work with backend, DevOps, and frontend teams to expose AI outputs via dashboards, APIs, and real‑time agent assist overlays. Technical Leadership Establish coding standards, documentation templates, and peer‑review culture for the AI team. Mentor junior engineers as the team scales; influence hiring and tech‑stack decisions. Required Skills & Qualifications 4 – 8 years building and deploying ML systems in production (audio, NLP, or LLM focus). Expert‑level Python; strong grasp of PyTorch (or TensorFlow), Hugging Face Transformers, and data‑processing libraries. Proven record of optimising inference pipelines for sub‑second latency at scale. Hands‑on experience with cloud infrastructure (AWS or GCP), Docker/Kubernetes, and CI/CD for ML. Deep understanding of REST/gRPC APIs, security best practices, and high‑availability architectures. Ability to articulate trade‑offs and align technical decisions with business outcomes. Preferred Experience Prior work on Indic or Arabic speech/NLP, code‑switching, or low‑resource language modelling. Familiarity with vector databases (Pinecone, FAISS), Redis Streams/Kafka, and GPU orchestration (Triton, TorchServe). Exposure to sales‑tech, call‑centre analytics, or real‑time coaching platforms. Contributions to open‑source AI projects or relevant peer‑reviewed publications. Success Metrics (First 12 Months) ≥ 25 % reduction in transcription error rate or latency across core languages. Two net‑new AI modules shipped to production and adopted by Tier‑1 clients. Robust CI/CD and monitoring pipelines in place with < 1 % model downtime. Documentation and onboarding playbooks enabling AI team headcount to double without quality loss. Who You Are A builder who takes ideas from whiteboard to production with minimal supervision. A systems thinker who balances algorithmic innovation with engineering pragmatism. A hands‑on leader who codes, mentors, and sets the technical bar through example. A product‑centric technologist who obsesses over user impact, not benchmark vanity. A lifelong learner who follows the bleeding edge of GenAI and applies it wisely. How to Apply Email your résumé to careers@darwix.ai with the subject line specified above. Optionally, include a brief note detailing an AI system you have designed and deployed, the challenges faced, and the measurable impact achieved. Joining Darwix AI as the Founding AI Engineer means taking ownership of the platform that will redefine how revenue teams worldwide leverage real‑time intelligence. If you are ready to build, scale, and lead at the frontier of GenAI, we look forward to hearing from you.

Head of AI & ML Platforms Focus : Voice AI, NLP, Conversation Intelligence for Omnichannel Enterprise Sales Location : Sector 63, Gurugram, Haryana — Full-time, 100% In-Office Work Hours : 10:30 AM – 8:00 PM, Monday to Friday (2nd and 4th Saturdays off) Experience Required : 8–15 years in AI/ML, with 3+ years leading teams in voice, NLP, or conversation platforms Apply : careers@darwix.ai Subject Line : “Application – Head of AI & ML Platforms – [Your Name]” About Darwix AI Darwix AI is a GenAI-powered platform for enterprise revenue teams across sales, support, credit, and retail. Our proprietary AI stack ingests multimodal inputs—voice calls, chat logs, emails, and CCTV streams—and delivers contextual nudges, conversation scoring, and performance analytics in real time. Our suite of products includes: Transform+ : Real-time conversational intelligence for contact centers and field sales Sherpa.ai : A multilingual GenAI assistant that provides in-the-moment coaching, summaries, and objection handling support Store Intel : A computer vision solution that transforms CCTV feeds into actionable insights for physical retail spaces Darwix AI is trusted by large enterprises such as IndiaMart, Wakefit, Emaar, GIVA, Bank Dofar, and Sobha Realty , and is backed by leading institutional and operator investors. We are expanding rapidly across India, the Middle East, and Southeast Asia. Role Overview We are seeking a highly experienced and technically strong Head of AI & ML Platforms to architect and lead the end-to-end AI systems powering our voice intelligence, NLP, and GenAI solutions. This is a leadership role that blends research depth with applied engineering execution. The ideal candidate will have deep experience in building and deploying voice-to-text pipelines, multilingual NLP systems, and production-grade inference workflows. The individual will be responsible for model design, accuracy benchmarking, latency optimization, infrastructure orchestration, and integration across our product suite. This is a critical leadership role with direct influence over product velocity, enterprise client outcomes, and future platform scalability. Key ResponsibilitiesVoice-to-Text (ASR) Architecture Lead the design and optimization of large-scale automatic speech recognition (ASR) pipelines using open-source and commercial frameworks (e.g., WhisperX, Deepgram, AWS Transcribe) Enhance speaker diarization, custom vocabulary accuracy, and latency performance for real-time streaming scenarios Build fallback ASR workflows for offline and batch mode processing Implement multilingual and domain-specific tuning, especially for Indian and GCC languages Natural Language Processing and Conversation Analysis Build NLP models for conversation segmentation, intent detection, tone/sentiment analysis, and call scoring Implement multilingual support (Hindi, Arabic, Tamil, etc.) with fallback strategies for mixed-language and dialectal inputs Develop robust algorithms for real-time classification of sales behaviors (e.g., probing, pitching, objection handling) Train and fine-tune transformer-based models (e.g., BERT, RoBERTa, DeBERTa) and sentence embedding models for text analytics GenAI and LLM Integration Design modular GenAI pipelines for nudging, summarization, and response generation using tools like LangChain, LlamaIndex, and OpenAI APIs Implement retrieval-augmented generation (RAG) architectures for contextual, accurate, and hallucination-resistant outputs Build prompt orchestration frameworks that support real-time sales coaching across channels Ensure safety, reliability, and performance of LLM-driven outputs across use cases Infrastructure and Deployment Lead the development of scalable, secure, and low-latency AI services deployed via FastAPI, TorchServe, or similar frameworks Oversee model versioning, monitoring, and retraining workflows using MLflow, DVC, or other MLOps tools Build hybrid inference systems for batch, real-time, and edge scenarios depending on product usage Optimize inference pipelines for GPU/CPU balance, resource scheduling, and runtime efficiency Team Leadership and Cross-functional Collaboration Recruit, manage, and mentor a team of machine learning engineers and research scientists Collaborate closely with Product, Engineering, and Customer Success to translate product requirements into AI features Own AI roadmap planning, sprint delivery, and KPI measurement Serve as the subject-matter expert for AI-related client discussions, sales demos, and enterprise implementation roadmaps Required Qualifications 8+ years of experience in AI/ML with a minimum of 3 years in voice AI, NLP, or conversational platforms Proven experience delivering production-grade ASR or NLP systems at scale Deep familiarity with Python, PyTorch, HuggingFace, FastAPI, and containerized environments (Docker/Kubernetes) Expertise in fine-tuning LLMs and building multi-language, multi-modal intelligence stacks Demonstrated experience with tools such as WhisperX, Deepgram, Azure Speech, LangChain, MLflow, or Triton Inference Server Experience deploying real-time or near real-time inference models at enterprise scale Strong architectural thinking with the ability to design modular, reusable, and scalable ML services Track record of building and leading high-performing ML teams Preferred Skills Background in telecom, contact center AI, conversational analytics, or field sales optimization Familiarity with GPU deployment, model quantization, and inference optimization Experience with low-resource languages and multilingual data augmentation Understanding of sales enablement workflows and domain-specific ontology development Experience integrating AI models into customer-facing SaaS dashboards and APIs Success Metrics Transcription accuracy improvement by ≥15% across core languages within 6 months End-to-end voice-to-nudge latency reduced below 5 seconds GenAI assistant adoption across 70%+ of eligible conversations AI-driven call scoring rolled out across 100% of Tier 1 clients within 9 months Model deployment velocity (dev to prod) reduced by ≥40% through tooling and process improvements Culture at Darwix AI At Darwix AI, we operate at the intersection of engineering velocity and product clarity. We move fast, prioritize outcomes over optics, and expect leaders to drive hands-on impact. You will work directly with the founding team and senior leaders across engineering, product, and GTM functions. Expect ownership, direct communication, and a culture that values builders who scale systems, people, and strategy. Compensation and Benefits Competitive fixed compensation Performance-based bonuses and growth-linked incentives ESOP eligibility for leadership candidates Access to GPU/compute credits and model experimentation infrastructure Comprehensive medical insurance and wellness programs Dedicated learning and development budget for technical and leadership upskilling MacBook Pro, premium workstation, and access to industry tooling licenses Career Progression 12-month roadmap: Build and stabilize AI platform across all product lines 18–24-month horizon: Elevate to VP of AI or Chief AI Officer as platform scale increases globally Future leadership role in enabling new verticals (e.g., healthcare, finance, logistics) with domain-specific GenAI solutions How to Apply Send the following to careers@darwix.ai : Updated CV (PDF format) A short statement (200 words max) on: “How would you design a multilingual voice-to-text pipeline optimized for low-resource Indic languages, with real-time nudge delivery?” Links to any relevant GitHub repos, publications, or deployed projects (optional) Subject Line : “Application – Head of AI & ML Platforms – [Your Name]”

Experience Required : 3-6 Years. of vacancies : 1. Job Type : Full Time. Vacancy Role : WFO. Job Category : Development. Job Description We are looking for an iOS developer responsible for the development and maintenance of applications aimed at a range of iOS devices including mobile phones and iPads. Your primary focus will be the development of iOS applications and their integration with back-end services. You will be working alongside other engineers and developers working on different layers of the infrastructure. Therefore, a commitment tocollaborative problem-solving, sophisticated design and the creation of quality products is essential. Roles & Responsibilities Design and build applications for the iOS platform. Ensure the performance, quality, and responsiveness of applications. Collaborate with a team to define, design, and ship new features. Identify and correct bottlenecks and fix bugs. Help maintain code quality, organization, and : 3 to 6 years of experience. Proficient with Objective-C, Swift and Cocoa Touch. Experience with iOS frameworks such as Core Data, Core Animation, etc. Experience with offline storage, threading, and performance tuning. Familiarity with RESTful APIs to connect iOS applications to back-end. services. Knowledge of other web technologies and UI/UX standards. Understanding of Apples design principles and interface guidelines. Knowledge of 3rd party libraries. Experience with performance and memory tuning with tools {?{such a sInstruments and Shark, depending on project needs}. Familiarity with cloud message APIs and push notification. Proficient understanding of code versioning tools {?{such as Git, Mercurial orSVN. Familiarity with continuous integrati on Publish applications on App Stor. Excellent skills with memory management and caching mechanism. (ref:hirist.tech)

We make METRO digital. Today technology is driving the world. And at METRO.digital we are driving the technology for one of the leading international wholesalers specializing in food METRO. From e-commerce to checkout, to delivery software, we work on a wide range of products to make each day a success for our customers and colleagues. With passion and ownership, we build the future of wholesale. You are driving to create smart solutions for customers around the globe? You want to grow in a flexible environment? Let the right career opportunity find you and join us!. How you will make an impact? Write here about the solution/product. Working with and on behalf of one of our major Metro countries, will give you the opportunity to deep dive into its business and be able to translate business priorities into technical dedicated support. Job Description MDG Technical Senior Consultant The domain Supplier Management owns various solutions in Supplier Management, including supplier master data, the supplier web portal, contract & condition management and supplier evaluation and selection. We are end-to-end responsible for these solutions that are used by METRO countries. Your role will be in supplier master data where you can support the digital transformation from a legacy in-house solution (MMS) to a modern SAP S4/HANA based supplier master data solution based on SAP MDG (Master Data Governance). This solution is currently being deployed within the METRO countries and will be part of the foundation of the future METRO IT landscape. Key Responsibilities Act as the in-house MDG-S technical expert, ensuring the stability and performance of MDGS solutions. Collaborate with business teams, service manager and service provider to define technical requirements and enhancements to ensure the proper integration of business processes. Coordinate and technically validate the deliverables from the service provider. Support system integration with SAP ECC, S/4HANA and non-SAP systems via SOA, IDOC, and API. Participate in system design, configuration reviews, and change control processes. Troubleshoot system issues and lead root cause analysis with the service provider. Ability to continuously evaluate and optimize MDG processes to improve efficiency and performance. Support system upgrades in collaboration with Basis, GRC (user and rights management) and infrastructure teams. Ensure proper transport management, versioning, and documentation. Support testing activities : functional testing, SIT, UAT, defect management. Support data migration activities related to supplier master data. Prepare and review project documents such as design documents, configuration documents, technical/functional specification documents and present them to the stakeholders. Ensure updated documentation for primary support areas. Demand /Requirement Management Ensure daily monitoring of assigned Incidents and Change Requests to avoid any slippage or SLA breaches. Required Key Competencies And Technical Skills Minimum 5-8 years SAP technical expertise, with at least 4 years in SAP MDG (Business Partner/Supplier). In-depth knowledge of S/4HANA and SAP Master Data Governance (MDG). Strong skills in ABAP (including object-oriented), BRF+, FPM, API, and Web Dynpro. Hands on experience in core components of SAP MDG, Consolidation, Solution Manger, Document Management, DQM, Archiving. Strong debugging and problem-solving skills. Strong team player with excellent communication and collaboration skills. Knowledge of SAP BODS is an advantage. Basic understanding of SAP BTP is a bonus. SAP MDG certification (preferred). Being a team player and collaborating well with colleagues from IT and business across all METRO units and countries. Qualifications Any Graduation or higher degree in Computer, Information Technology, or any IT degree (B.Sc(IT), MCA, B.E, B.Tech, B.Sc(Comp) etc. Good communication skills to communicate with customers, team me mbers, and stakeholders. Very good fluency in English (written and verbal). Good analytical and problem-solving skills. (ref:hirist.tech)

About Amgen Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. About The Role Role Description: We are seeking an experienced MDM Engineer with 8–12 years of experience to lead development and operations of our Master Data Management (MDM) platforms, with hands-on experience in data engineering experience. This role will involve handling the backend data engineering solution within MDM team. This is a technical role that will require hands-on work. To succeed in this role, the candidate must have strong Data Engineering experience. Candidate must have experience on technologies like (SQL, Python, PySpark, Databricks, AWS, API Integrations etc). Roles & Responsibilities: Develop distributed data pipelines using PySpark on Databricks for ingesting, transforming, and publishing master data Write optimized SQL for large-scale data processing, including complex joins, window functions, and CTEs for MDM logic Implement match/merge algorithms and survivorship rules using Informatica MDM or Reltio APIs Build and maintain Delta Lake tables with schema evolution and versioning for master data domains Use AWS services like S3, Glue, Lambda, and Step Functions for orchestrating MDM workflows Automate data quality checks using IDQ or custom PySpark validators with rule-based profiling Integrate external enrichment sources (e.g., D&B, LexisNexis) via REST APIs and batch pipelines Design and deploy CI/CD pipelines using GitHub Actions or Jenkins for Databricks notebooks and jobs Monitor pipeline health using Databricks Jobs API, CloudWatch, and custom logging frameworks Implement fine-grained access control using Unity Catalog and attribute-based policies for MDM datasets Use MLflow for tracking model-based entity resolution experiments if ML-based matching is applied Collaborate with data stewards to expose curated MDM views via REST endpoints or Delta Sharing Basic Qualifications and Experience: 8 to 13 years of experience in Business, Engineering, IT or related field Functional Skills: Must-Have Skills: Advanced proficiency in PySpark for distributed data processing and transformation Strong SQL skills for complex data modeling, cleansing, and aggregation logic Hands-on experience with Databricks including Delta Lake, notebooks, and job orchestration Deep understanding of MDM concepts including match/merge, survivorship, and golden record creation Experience with MDM platforms like Informatica MDM or Reltio, including REST API integration Proficiency in AWS services such as S3, Glue, Lambda, Step Functions, and IAM Familiarity with data quality frameworks and tools like Informatica IDQ or custom rule engines Experience building CI/CD pipelines for data workflows using GitHub Actions, Jenkins, or similar Knowledge of schema evolution, versioning, and metadata management in data lakes Ability to implement lineage and observability using Unity Catalog or third-party tools Comfort with Unix shell scripting or Python for orchestration and automation Hands on experience on RESTful APIs for ingesting external data sources and enrichment feeds Good-to-Have Skills: Experience with Tableau or PowerBI for reporting MDM insights. Exposure to Agile practices and tools (JIRA, Confluence). Prior experience in Pharma/Life Sciences. Understanding of compliance and regulatory considerations in master data. Professional Certifications : Any MDM certification (e.g. Informatica, Reltio etc) Any Data Analysis certification (SQL, Python, PySpark, Databricks) Any cloud certification (AWS or AZURE) Soft Skills: Strong analytical abilities to assess and improve master data processes and solutions. Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders. Effective problem-solving skills to address data-related issues and implement scalable solutions. Ability to work effectively with global, virtual teams EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. GCF Level 05A

About Amgen Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. About The Role Role Description: The Principal Platform Architect – MuleSoft is responsible for leading the strategic design, implementation, and governance of scalable integration solutions using the MuleSoft Anypoint Platform. This role involves defining the integration architecture vision, creating implementation roadmaps, and ensuring alignment with enterprise integration and API standards. You will provide technical leadership and mentorship to the MuleSoft Platform team, ensuring high-quality design and delivery of integration capabilities. The Architect will collaborate with senior Technology leadership and cross-functional stakeholders to build a robust, reusable, and innovative API ecosystem. The role also includes oversight of platform governance and driving continuous improvement across integration practices and team performance. Roles & Responsibilities: Lead a team of MuleSoft Platform Architects, providing technical leadership, performance management, and career development Develop and maintain the Enterprise MuleSoft architecture vision and strategy, ensuring alignment with business objectives Create and maintain architectural roadmaps that guide the evolution of applications and capabilities Oversee delivery of reusable APIs, templates, connectors, and accelerators to speed project delivery and reduce technical debt. Establish and enforce architectural standards, policies, and governance frameworks Evaluate emerging technologies and assess their potential impact on the solution architecture Identify and mitigate architectural risks, ensuring that the MuleSoft ecosystem is scalable, secure, and resilient Define and enforce best practices around DevOps, CI/CD, automated testing, API versioning, security, and governance Drive platform adoption and maturity through onboarding, documentation, training, and evangelism Maintain comprehensive documentation of the architecture, including principles, standards, and models Drive continuous improvement in the architecture by identifying opportunities for innovation and efficiency Work with stakeholders to gather and analyze requirements, ensuring that solutions meet both business and technical needs Evaluate and recommend technologies and tools that best fit the solution requirements Ensure seamless integration between systems and platforms, both within the organization and with external partners Design systems that can scale to meet growing business needs and performance demands Basic Qualifications and Experience: Master’s / Bachelor’s degree with 13-16 years of experience in Computer Science, IT or related field Functional Skills: Must-Have Skills: Strong architectural design and modeling skills Extensive knowledge of enterprise architecture frameworks and methodologies Experience with system integration, IT infrastructure Experience directing solution design, business processes redesign and aligning business requirements to technical solutions in a regulated environment Experience working in agile methodology, including Product Teams and Product Development models Strong solution design and problem-solving skills Integration Architect API Design: Ability to design and develop well-structured and documented APIs. Integration Patterns: Understanding of common integration patterns and their application. Integration Technologies: Familiarity with integration platforms, protocols, and standards (e.g., ESB, REST, SOAP), specifically MuleSoft. Data Mapping: Experience in mapping data between different systems and applications. Security: Understanding of API security best practices and standards. Good-to-Have Skills: Hands-on Linux administration and scripting skills (bash, shell, or Python) Familiarity with Amazon Web Services (AWS) networking and infrastructure, especially VPC design and security Experience in the pharmaceutical or life sciences industry with regulated data environments Agile delivery experience and proficiency with tools like JIRA, Confluence, and ServiceNow Professional Certifications Mulesoft Integration Architect I or Mulesoft Platform Architect I Certifications (required) Cloud certifications (AWS Certified Solutions Architect, DevOps Engineer, etc.) (required) Linux Administration or DevOps-related certifications a plus (preferred) Soft Skills: Excellent critical-thinking and problem-solving skills Strong communication and collaboration skills Demonstrated awareness of how to function in a team setting Demonstrated awareness of presentation skills EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Job Description Position : Consulting Member of Technical Staff Location : Bengaluru Karnataka , India At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of fellow creators and inventors. We act with the speed and attitude of a start-up, with the scale and customer focus of the leading enterprise software company in the world. Values are OCI’s foundation and how we deliver excellence. We strive for equity, inclusion, and respect for all. We are committed to the greater good in our products and our actions. We are constantly learning and taking opportunities to grow our careers and ourselves. We challenge each other to stretch beyond our past to build our future. You are the builder here. You will be part of a team of really thoughtful, motivated, and diverse people and given the autonomy and support to do your best work. It is a dynamic and flexible workplace where you’ll belong and be encouraged. Within OCI, AI Services team's one of the goals is to improve user experience and solve challenging problems through seamless employee services by enabling AI/ML services like NLP , Vision, Machine Translation etc. We are seeking a seasoned ML Architect/Senior Engineer with strong background in software design , development and experience in architect application or platform around ML ops, dev ops and ML Platform. The ideal candidate will collaborate with multi-functional teams to design, implement, and optimize ML Services and Platform. A successful candidate will be a person who enjoys diving deep into ML infrastructure, doing analysis, discovering root causes, and designing long-term solutions. You will be joining our AL infra and platform Engineering Service team who is responsible for building AI Platform, AI Ops capabilities to improve operational efficiency and effectiveness of enterprise engineering cloud services - thereby improve customer experience and service resiliency. So you will have an opportunity to design, implement systems end to end by helping select the right technologies, and envisioning a long-term architecture is part of the role. Finally, we always look for enthusiastic, passionate individuals with a willingness to learn new technologies. Responsibilities: Build and maintain scalable ML infrastructure and platforms for managing and deploying models in production environment Design, implement and optimize AI services / ML Engineering Platform/Infra for Data processing , Feature Engineering , Model training and Inference Implement standard methodologies for ML Ops, Dev Ops including model versioning , monitoring , logging and automated testing Proven ability to deliver products and experience with the full software development lifecycle Experience working on large-scale, highly distributed services infrastructure Translate business needs into advanced machine learning AI services and provide strong algorithm and coding execution and delivery of Machine Learning & Artificial Intelligence. Develop analysis and optimization methods to improve the AI platform Capabilities Experience working in an operational environment with important tier-one live site servicing Experience designing architectures that demonstrate deep technical depth in one area, or span many products, to enable high availability, scalability, market-leading features and flexibility to meet future business demands Stay up to date with latest advancements in machine learning , security technology and industry trends to drive innovation and maintain competitive advantage Preferred Qualification BS or MS degree in Computer Science or relevant technical field involving coding or equivalent practical experience 10+ years of total experience in software development Hands-on experience Design, developing and maintaining services on a public cloud platform (e.g., AWS, Azure, Oracle) Knowledge of Infrastructure as Code (IAC) languages, preferably Terraform Strong proficiency in programming languages such as Python, Java and ML frameworks/libraries such as Tensor flow , Pytorch or sci kit-learn Strong knowledge of Container and its Orchestration technology like Kubernetes, docker Solid understanding of software engineering principles, including version control , testing and deployment automation Communicate effectively to multiple collaborators on value and insights from data Make Recommendations and influence the AI service roadmap for our platforms & services to constantly improve Customer experience. Mentor other ML engineers/developer, and help them to develop their projects related to experimentation and evaluation. Craft a measurement strategy to evaluate the performance of complex systems against challenging requirements Develop robust methods for model monitoring in production and learning from feedback Ability to work with incomplete requirements and handle multiple projects with deadlines Employer Description As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s problems. True innovation starts with diverse perspectives and various abilities and backgrounds.When everyone’s voice is heard, we’re inspired to go beyond what’s been done before. It’s why we’re committed to expanding our inclusive workforce that promotes diverse insights and perspectives.We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer a highly competitive suite of employee benefits designed on the principles of parity and consistency. We put our people first with flexible medical, life insurance and retirement options. We also encourage employees to give back to their communities through our volunteer programs.We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by calling +1 888 404 2494, option one. Disclaimer: Oracle is an Equal Employment Opportunity Employer*. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Responsibilities: Build and maintain scalable ML infrastructure and platforms for managing and deploying models in production environment Design, implement and optimize AI services / ML Engineering Platform/Infra for Data processing , Feature Engineering , Model training and Inference Implement standard methodologies for ML Ops, Dev Ops including model versioning , monitoring , logging and automated testing Proven ability to deliver products and experience with the full software development lifecycle Experience working on large-scale, highly distributed services infrastructure Translate business needs into advanced machine learning AI services and provide strong algorithm and coding execution and delivery of Machine Learning & Artificial Intelligence. Develop analysis and optimization methods to improve the AI platform Capabilities Experience working in an operational environment with critically important tier-one live site servicing Experience designing architectures that demonstrate deep technical depth in one area, or span many products, to enable high availability, scalability, market-leading features and flexibility to meet future business demands Stay up to date with latest advancements in machine learning , security technology and industry trends to drive innovation and maintain competitive advantage Career Level - IC5 Responsibilities Responsibilities: Build and maintain scalable ML infrastructure and platforms for managing and deploying models in production environment Design, implement and optimize AI services / ML Engineering Platform/Infra for Data processing , Feature Engineering , Model training and Inference Implement standard methodologies for ML Ops, Dev Ops including model versioning , monitoring , logging and automated testing Proven ability to deliver products and experience with the full software development lifecycle Experience working on large-scale, highly distributed services infrastructure Translate business needs into advanced machine learning AI services and provide strong algorithm and coding execution and delivery of Machine Learning & Artificial Intelligence. Develop analysis and optimization methods to improve the AI platform Capabilities Experience working in an operational environment with critically important tier-one live site servicing Experience designing architectures that demonstrate deep technical depth in one area, or span many products, to enable high availability, scalability, market-leading features and flexibility to meet future business demands Stay up to date with latest advancements in machine learning , security technology and industry trends to drive innovation and maintain competitive advantage About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.