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The Applications Development Technology Lead Analyst is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities. Responsibilities: Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: 6-10 years of relevant experience in Apps Development or systems analysis role Extensive experience system analysis and in programming of software applications Experience in managing and implementing successful projects Subject Matter Expert (SME) in at least one area of Applications Development Ability to adjust priorities quickly as circumstances dictate Demonstrated leadership and project management skills Consistently demonstrates clear and concise written and verbal communication Education: Bachelor’s degree/University degree or equivalent experience Master’s degree preferred This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. Role Summary: RHOO-RegHub On Olympus is a Regulatory Reporting framework built on Olympus Tech Stack to centrally report all in-scope transactions, events and client reports on a single, scalable, cost-effective regulatory architecture that mitigates regulatory and reputational risk through delivery of complete, accurate and compliant reporting for various businesses. We are looking for a Big Data and AI Lead responsible for driving our organization's efforts in leveraging big data and artificial intelligence (AI) to achieve Regulatory objectives. This role involves developing and implementing strategies for data collection, storage, processing, analysis, and AI-driven applications. By embracing AI/ML, RegHub On Olympus (RHOO) will remain at the forefront of regulatory reporting technology and provide a competitive advantage in the financial industry. Required Skillset : The role requires 10+ yrs hands on experience in Java development. Working experience in designing systems with Low Latency Streaming Architectures Spark Spring Boot Kafka (ELK) Flink or any real-time streaming framework experience. Working Knowledge of NoSQL, Kafka, Big Data, MongoDB Hands-on experience on Hadoop, Big Data, Spark SQL, Hive/Impala. Experience in delivering Regulatory ask like in extremely compressed timelines Experience is JMS and Real time message processing on TIBCO. Experience using Jira, Bit Bucket and managing development/testing/release efforts. Experience using XML, FIX, POJO, JSON message format. Experience with Impala, Elastic & Oracle. Working knowledge on AWS-ECS- Exp on Code Build/Code Pipeline for CI/CD & CloudWatch for logging/Monitoring Hands on Amazon Simple Storage Service (S3). Added advantage of having hands-on experience with AI/ML technologies, including Python, Predictive Modeling, Natural Language Processing, Machine Learning Algorithms, and general data structure modules. Good to have knowledge on Order and Executions and Trade Life Cycle Events & knowledge to work with message formats like FPML and ISO20022. Ability to lead a team from the front and guide them through time sensitive milestones. Focus on leveraging regulatory delivery as a driver for the firm’s data strategy. Very good communication and interpersonal skills. Excellent relationships with senior tech, business and compliance partners. Experience with delivery expertise for large scale programs. Ability to align delivery with firm’s long-term strategy. Quick decision maker with the ability to take a grasp of the situation in case of an issue and mitigate the impact. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

The Applications Development Technology Lead Analyst is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities. Responsibilities: Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: 13+ years of relevant experience in Apps Development or systems analysis role Extensive experience system analysis and in programming of software applications Experience in managing and implementing successful projects Subject Matter Expert (SME) in at least one area of Applications Development Ability to adjust priorities quickly as circumstances dictate Demonstrated leadership and project management skills Consistently demonstrates clear and concise written and verbal communication Working experience in designing systems with Low Latency Streaming Architectures Working Knowledge of NoSQL, Kafka, Big Data, MongoDB Hands-on experience on Hadoop, Big Data, Spark SQL, Hive/Impala. Experience in delivering Regulatory ask like in extremely compressed timelines Experience is JMS and Real time message processing on TIBCO. Experience using Jira, Bit Bucket and managing development/testing/release efforts. Experience using XML, FIX, POJO, JSON message format. Experience with Impala, Elastic & Oracle. Working knowledge on AWS-ECS- Exp on Code Build/Code Pipeline for CI/CD & CloudWatch for logging/Monitoring Hands on Amazon Simple Storage Service (S3). Added advantage of having hands-on experience with AI/ML technologies, including Python, Predictive Modeling, Natural Language Processing, Machine Learning Algorithms, and general data structure modules. Good to have knowledge on Order and Executions and Trade Life Cycle Events & knowledge to work with message formats like FPML and ISO20022. Ability to lead a team from the front and guide them through time sensitive milestones. Focus on leveraging regulatory delivery as a driver for the firm’s data strategy. Education: Bachelor’s degree/University degree or equivalent experience This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Job Description for MMM Role: Management Level : Ind&Func AI Decision Science Consultant Location : Gurgaon, Bangalore Must-Have Skills: Market Mix Modeling (MMM) Techniques, Optimization Algorithms for budget allocation and promotional channel optimization, Statistical and Probabilistic Methods: SVM, Decision Trees, Programming Languages & Tools: Python, NumPy, Pandas, Sklearn, AI/ML Models Development and Data Pipeline Management, Data Management within Snowflake (data layers, migration), Cloud Platforms experience (Azure, AWS, GCP) Good-to-Have Skills: Experience with Nonlinear Optimization Techniques, Experience in Data Migration (cloud to Snowflake), Proficiency in SQL and cloud-based technologies, Understanding of Econometrics/Statistical Modeling (Regression, Time Series, Multivariate Analysis). Job Summary We are seeking a skilled Ind & Func AI Decision Science Consultant to join the Accenture Strategy & Consulting team in the Global Network – Data & AI practice . This role is focused on Market Mix Modeling (MMM) , where you will be responsible for developing AI/ML models, optimizing promotional channels, managing data pipelines, and working on scaling marketing mix models across cloud platforms. You will work with leading financial clients, leveraging cutting-edge technology to drive business impact and innovation. Roles & Responsibilities Engagement Execution Lead MMM engagements that involve optimizing promotional strategies, budget allocation, and marketing analytics solutions. Apply advanced statistical techniques and machine learning models to improve marketing effectiveness. Collaborate with clients to develop tailored market mix models, delivering data-driven insights to optimize their marketing budgets and strategies. Develop Proof of Concepts (PoC) for clients, including scoping, staffing, and execution phases. Practice Enablement Mentor and guide analysts, consultants, and managers to build their expertise in Market Mix Modeling and analytics. Contribute to the growth of the Analytics practice through knowledge sharing, staffing initiatives, and development of new methodologies. Promote thought leadership in Marketing Analytics by publishing research and presenting at industry events. Opportunity Development Identify business development opportunities in marketing analytics and develop compelling business cases for potential clients. Work closely with deal teams to provide subject matter expertise in MMM, ensuring the development of high-quality client proposals and responses to RFPs. Client Relationship Development Build and maintain strong, trusted relationships with internal and external clients. Serve as a consultant to clients, offering strategic insights to optimize marketing spend and performance. Professional & Technical Skills 3+ years of experience in Market Mix Modeling (MMM) and associated optimization techniques. Strong knowledge of nonlinear optimization, AI/ML models, and advanced statistical techniques for marketing. Proficiency in programming languages such as Python, NumPy, Pandas, Sklearn, Seaborne, Pycaret, and Matplotlib. Experience with cloud platforms such as AWS, Azure, or GCP and data migration to Snowflake. Familiarity with econometrics/statistical modeling techniques (Regression, Hypothesis Testing, Time Series, Multivariate Analysis). Hands-on experience in managing data pipelines and deploying scalable machine learning architectures. Additional Information: Master’s degree in Statistics, Econometrics, Economics, or related fields from reputed universities. Ph.D. or M.Tech is a plus. Excellent communication and interpersonal skills to effectively collaborate with global teams and clients. Willingness to travel up to 40% of the time. Work on impactful projects to help clients optimize their marketing strategies through advanced data-driven insights. About Our Company | Accenture , Experience: 3+ years of experience in Market Mix Modeling (MMM) and optimization techniques 2+ years for Analysts & 4+ years for Consultants of experience in consulting/analytics within reputed organizations Educational Qualification: Master’s degree in Statistics, Econometrics, Economics, or related fields from reputed institutions Ph.D. or M.Tech in relevant fields is an advantage

A.P. Moller - Maersk A.P. Moller – Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers’ supply chains. Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too. We are responsible for moving 20 % of global trade & is on a mission to become the Global Integrator of Container Logistics. To achieve this, we are transforming into an industrial digital giant by combining our assets across air, land, ocean, and ports with our growing portfolio of digital assets to connect and simplify our customer’s supply chain through global end-to-end solutions, all the while rethinking the way we engage with customers and partners. The Brief As a Senior AI/ML Engineer in our Data & AI Governance team, you’ll build the systems that improve how Maersk detects, manages, and fixes data quality issues at scale while contributing to responsible AI observability and compliance tooling. This is a hands-on engineering role focused on platform-level tooling for data reliability, model traceability, and metadata intelligence. You’ll work across structured and unstructured data, help enforce quality SLAs and contribute to components that support the governance of AI/ML models. The role sits at the intersection of platform engineering, data operations, and applied AI - ideal for someone who enjoys building reusable tools, mentoring others, and making complex systems more reliable and auditable. This is a key part of our long-term vision to treat data quality with the same urgency and rigor as platform reliability. The systems you build will help set a new standard for how we manage quality, fairness, and trust in enterprise data and AI. Senior AI/ML Engineer Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com. What I'll be doing – your accountabilities? Build and scale AI/ML-driven components to detect data anomalies, schema drift, and degradation in real-time across pipelines Develop validation logic, auto-profiling tools, and scoring engines to assess and monitor enterprise data quality Design architecture for AI/ ML-based DQ solutions that are modular, reusable, and scalable Apply AI/ML techniques including NLP, rule induction, and pattern classification to enrich metadata and detect systemic quality issues Build tooling to support responsible AI: drift tracking, fairness detection, explainability indicators, and lifecycle logging Partner with platform engineers to integrate these tools into orchestration systems (e.g., Airflow, MLflow, or Dagster) Work with data owners and stewards to operationalize quality ownership using MIDAS – Maersk’s enterprise AI platform for metadata inventory, data accountability, and governance Contribute to the creation of a DataOps playbook with SLAs, page-zero metrics, escalation routines, and ownership models Mentor junior engineers and shape architectural and engineering best practices for AI/ML observability and data quality tooling Foundational Skills Expert-level Python engineering experience with a proven ability to ship AI/ML-backed tooling at production scale Advanced knowledge of data pipelines and orchestration frameworks (e.g., Airflow, Spark, Dagster) Expert understanding of system observability - logging, telemetry, health scoring applied to data and model workflows Proven track record of applying advanced AI/ML techniques (e.g., classification, clustering, anomaly detection) in production settings Strong grounding in solution architecture for data-intensive, distributed systems Specialized Skills Deep experience applying AI/ML to data quality use cases such as profiling, anomaly detection, drift analysis, and schema inference Expertise in metadata management, lineage tracing, and automated documentation (e.g., via DataHub, Unity Catalog, or Collibra) Hands-on experience with responsible AI tooling (e.g., SHAP, LIME, Fairlearn, What-If Tool) for explainability and bias detection Built or contributed to platform-level components that are used across domains, not just in isolated project delivery Ability to design and implement architectural patterns that support federated ownership, reuse, and lifecycle transparency Eagerness to learn and contribute to AI governance frameworks (e.g., EU AI Act, ISO 42001, NIST AI RMF) and translate those into engineering patterns Qualifications & Requirements 8+ years of engineering experience, including at least 3 years building and deploying AI/ML solutions in production Demonstrated experience building DQ and model observability tools - not just core predictive systems Strong experience working in cross-functional platform teams that deliver shared services used across business units Fluent in MLOps tooling (e.g., MLflow, SageMaker, Vertex AI) and capable of versioning, tracking, and documenting model behavior Strong communication and documentation skills; able to make complex system behavior understandable and operable Passion for enabling trustworthy AI through high-quality engineering practices Preferred Experiences In addition to basic qualifications, would be great if you have… Experience implementing data quality scoring, monitoring, or root cause tooling in a production environment Experience working with shared metadata systems and operationalizing lineage or traceability at scale Strong involvement in platform teams or developer enablement functions - not just analytics or research delivery Applied experience with model explainability, fairness evaluation, or lifecycle documentation tooling Understanding of enterprise AI risk and how to translate policy into engineering design constraints

Job Category: QA Automation Job Type: Full Time Job Location: Bangalore Experience: 4+ Years Skills: API Appium Cypress Java Java script Postman Selenium Position Overview We are looking for an experienced Senior Test Engineer specializing in automation testing to join our team. The ideal candidate will have a strong background in manual and automated testing with tools like JAVA, Selenium, and Appium, along with expertise in API testing. As a creative engineering company, we value innovation, collaboration, and an automation-first mindset. Responsibilities Managing the project with quality QA deliverables (Manual + Automation) Client interaction on a daily basis (Standup, Scrum Calls, Sprint Planning, Sprint Retro, etc.) Managing the Manual and Automation test efforts Responsible for any client queries related to project Keeping the stakeholders informed about the work status on a daily basis Desired Profile Automation Testing using tools like Cypress, Selenium, Appium, Postman/RESTAssured (Preferably), Selenium, Java, Postman, Appium Extensive knowledge and experience on developing and maintaining industry level Test Automation Framework Programming languages – JavaScript, Core Java Automation tools/Framework -Selenium, Cypress, TestNG, Cucumber API Testing – Using Postman and REST Assured (Manual + Automation) Tools – TestNG, Jenkins, Git/Bit Bucket, BDD Experience with JIRA, TestRail, Test Link or any Test management tool. Experience working with client/s directly Clear understanding of different QA Strategies, methodologies etc Strong in Manual Testing Concepts KPI driven and a Good Team player Independently evaluates issues and proposes solutions Raises issues/concerns on time Automation first mindset Good To Have Automation framework – QMetry Experience on Flutter app automation Experience on Low Code/No Code Automation tools. Experience on testing on Cloud based applications and IoT devices Good if he/she has experience in testing AI/ML model Qualification Full time – MCA, BE/B. Tech If you are passionate about automation testing and eager to work in a collaborative and challenging environment, apply now!

Machine Learning Engineer Why WWT? At World Wide Technology, we work together to make a new world happen. Our important work benefits our clients and partners as much as it does our people and communities across the globe. WWT is dedicated to achieving its mission of creating a profitable growth company that is also a Great Place to Work for All. We achieve this through our world-class culture, generous benefits and by delivering cutting-edge technology solutions for our clients. WWT was founded in 1990 in St. Louis, Missouri. We employ more than 10,000 people globally and closed nearly $20 billion in revenue in 2023. We have an inclusive culture and believe our core values are the key to company and employee success. WWT is proud to have been included on the FORTUNE "100 Best Places to Work For®" list 12 years in a row! Want to work with highly motivated individuals on high-performance teams? Join WWT today! What is the Solutions Consulting & Engineering (SC&E) Team and why join? Solutions Consulting & Engineering is an organization that is Customer Focused and Solutions Led. We deliver end-to-end (E2E) and emerging solutions to drive customer satisfaction, increase profitability and growth. Our success is enabled by our world-class management consulting, delivery excellence and engineering brilliance. We embody the OneWWT mindset by bringing the right talent at the right time from anywhere within WWT to solve our customer's problems. Our goal is to bring together business acumen with full-stack technical know-how to develop innovative solutions for our clients' most complex challenges. RESPONSIBILITIES: Develop, productionize, and deploy scalable, resilient software solutions for operationalizing AI & ML. Deploy Machine Learning (ML) models and Large Language Models (LLM) securely and efficiently, both in the cloud and on-premises, using state of the art platforms, tools, and techniques. Provide effective model observability, monitoring, and metrics by instrumenting logging, dashboards, alerts, etc. In collaboration with Data Engineers, design and build pipelines for extraction, transformation, and loading of data from a variety of data sources for AI & ML models as well as RAG architectures for LLMs. Enable Data Scientists to work more efficiently by providing tools for experiment tracking and test automation. Ensure scalability of built solutions by developing and running rigorous load tests. Facilitate integration of AI & ML capabilities into user experience by building APIs, UIs, etc. Stay current on new developments in AI & ML frameworks, tools, techniques, and architectures available for solution development, both private and open source. Coach data scientists and data engineers on software development best practices to write scalable, maintainable, well-designed code. Agile Project Work Work in cross-functional agile teams of highly skilled software/machine learning engineers, data scientists, DevOps engineers, designers, product managers, technical delivery teams, and others to continuously innovate AI and MLOps solutions. Act as a positive champion for broader organization to develop stronger understanding of software design patterns that deliver scalable, maintainable, well-designed analytics solutions. Advocate for security and responsibility best practices and tools. Acts as an expert on complex technical topics that require cross-functional consultation. Perform other duties as required. , QUALIFICATIONS: Experience applying continuous integration/continuous delivery best practices, including Version Control, Trunk Based Development, Release Management, and Test-Driven Development Experience with popular MLOps tools (e.g., Domino Data Labs, Dataiku, mlflow, AzureML, Sagemaker), and frameworks (e.g.: TensorFlow, Keras, Theano, PyTorch, Caffe, etc.) Experience with LLM platforms (OpenAI, Bedrock, NVAIE) and frameworks (LangChain, LangFuse, vLLM, etc.) Experience in programming languages common to data science such as Python, SQL, etc. Understanding of LLMs, and supporting concepts (tokenization, guardrails, chunking, Retrieval Augmented Generation, etc.). Knowledge of ML lifecycle (wrangling data, model selection, model training, modeling validation and deployment at scale) and experience working with data scientists Familiar with at least one major cloud provider (Azure, AWS, GCP), including resource provisioning, connectivity, security, autoscaling, IaC. Familiar with cloud data warehousing solutions such as Snowflake, Fabric, etc. Experience with Agile and DevOps software development principles/methodologies and working on teams focused on delivering business value. Experience influencing and building mindshare convincingly with any audience. Confident and experienced in public speaking. Ability to communicate complex ideas in a concise way. Fluent with popular diagraming and presentation software. Demonstrated experience in teaching and/or mentoring professionals. Want to learn more about SC&E Check us out on our platform: http://www.wwt.com/consulting-services-careers

Openings : Senior and Mid-Level Location : Remote in India Hours : IST Rate: 25-35 LPA Job Purpose Analyzing, designing, developing and managing the data pipelines to release scalable Data Science models. The ML/Ops Engineer is expected to deploy, monitor and operate production grade AI systems in a scalable, automated and repeatable way. Job Responsibilities Create and maintain a scalable code to deliver AI/ML processes. Design and implement the pipelines for building and deployment of ML models. Design dashboards to monitor a system. Collect metrics and create alerts based on them. Design and execute performance tests. Perform feasibility studies/analysis with a critical point of view. Support and maintain (troubleshoot issues with data and applications). Develop technical documentation for applications, including diagrams and manuals. Working on many different software challenges always and ensuring a combination of simplicity and maintainability within the code. Contribute to architectural designs of large complexity and size, potentially involving several distinct software components. Work as a member of a team, encouraging team building, motivation and cultivating effective team relations. Required Experience Demonstrated experience and knowledge in Linux and Docker containers Demonstrated experience and knowledge in some of the main cloud providers (Azure, GCP or AWS) Proficient in programming languages: Python Experience with ML/Ops technologies like Azure ML Experience with SQL Experience in the use of collaborative developing tools such as Git, Confluence, Jira, etc. Strong ability to analyze and synthesize. (Good analytical and logical thinking capability) Proactive attitude, resolutive, used to work in a team and manage deadlines. Ability to learn quickly Agile methodologies development (SCRUM/KANBAN). Minimal work experience of 6 years with evidence. Ability to keep fluid communication written and oral in English, both written and spoken Preferred Experience Demonstrated experience and knowledge in unit and integration testing Experience or Exposure with AI/ML frameworks: PyTorch, Onnx, Tensorflow Experience designing and implementing CICD pipelines for automation. Experience designing monitoring dashboards (Grafana or similar)

Job Category: AIML Job Type: Full Time Job Location: Bengaluru Mangalore Experience: 4-8 Years Skills: AI AWS/AZURE/GCP Azure ML C computer vision data analytics Data Modeling Data Visualization deep learning Descriptive Analytics GenAI Image processing Java LLM models ML ONNX Predictive Analytics Python R Regression/Classification Models SageMaker SQL TensorFlow Position Overview We are looking for an experienced AI/ML Engineer to join our team. The ideal candidate will bring a deep understanding of machine learning, artificial intelligence, and big data technologies, with proven expertise in developing scalable AI/ML solutions. This role shall lead technical efforts, mentor team members, and collaborate with cross-functional teams to design, develop, and deploy cutting edge AI/ML applications. Job Details Job Category: AI/ML Engineer. Job Type: Full-Time Job Location: Bangalore/Mangalore Experience Required: 4-8 Years Key Responsibilities Design, develop, and deploy deep learning models for object classification, detection, and segmentation using CNNs and Transfer Learning. Implement image preprocessing and advanced computer vision pipelines. Optimize deep learning models using pruning, quantization, and ONNX for deployment on edge devices. Work with PyTorch, TensorFlow, and ONNX frameworks to develop and convert models. Accelerate model inference using GPU programming with CUDA and cuDNN. Port and test models on embedded and edge hardware platforms. (Orin, Jetson, Hailo) Conduct research and experiments to evaluate and integrate GenAI technologies in computer vision tasks. Explore and implement cloud-based AI workflows, particularly using AWS/Azure AI/ML services. Collaborate with cross-functional teams for data analytics, data processing, and large-scale model training. Desired Profile Strong programming experience in Python. Solid background in deep learning, CNNs, and transfer learning and Machine learning basics. Expertise in object detection, classification, segmentation. Proficiency with PyTorch, TensorFlow, and ONNX. Experience with GPU acceleration (CUDA, cuDNN). Hands-on knowledge of model optimization (pruning, quantization). Experience deploying models to edge devices (e.g., Jetson, mobile, Orin, Hailo ) Understanding of image processing techniques. Familiarity with data pipelines, data preprocessing, and data analytics. Willingness to explore and contribute to Generative AI and cloud-based AI solutions. Good problem-solving and communication skills. Good to have Experience with C/C++. Familiarity with AWS Cloud AI/ML tools (e.g., SageMaker, Rekognition). Exposure to GenAI frameworks like OpenAI, Stable Diffusion, etc. Knowledge of real-time deployment systems and streaming analytics. Qualifications Graduation/Post-graduation in Computers, Engineering, or Statistics from a reputed institute If you are passionate to work in a collaborative and challenging environment, apply now!

About VOIS VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value and enhancing quality and efficiency across 28 countries, and operating from 7 locations: Albania, Egypt, Hungary, India, Romania, Spain and the UK. Over 29,000 highly skilled individuals are dedicated to being Vodafone Group’s partner of choice for talent, technology, and transformation. We deliver the best services across IT, Business Intelligence Services, Customer Operations, Business Operations, HR, Finance, Supply Chain, HR Operations, and many more. Established in 2006, VOIS has evolved into a global, multi-functional organization, a Centre of Excellence for Intelligent Solutions focused on adding value and delivering business outcomes for Vodafone. VOIS India In 2009, VOIS started operating in India and now has established global delivery centers in Pune, Bangalore and Ahmedabad. With more than 14,500 employees, VOIS India supports global markets and group functions of Vodafone and delivers best-in-class customer experience through multi-functional services in the areas of Information Technology, Networks, Business Intelligence and Analytics, Digital Business Solutions (Robotics & AI), Commercial Operations (Consumer & Business), Intelligent Operations, Finance Operations, Supply Chain Operations and HR Operations and more. Core Competencies, Knowledge And Experience Mode: Hybrid Location: Bangalore / Pune Experience 5 To 8 Years Core Competencies, Knowledge and Experience: Minimum experience of 4 years in data science. Excellent communication & presentation skills with track record of engaging with business project leads Flexibility and problem solving Previous experience in Telecom would be a distinct advantage Graduate from tier-1 or tier-2 college preferred with good academic record Must Have Technical / Professional Qualifications Hands on experience in Analytical tools like Python with through knowledge of various machine learning, analytical & statistical techniques Expert in Python Hands on experience in NLP and Generative AI tools and large language models (LLMs) like gemini, PALM, open source LLMs, transformers. Good to have Cloud – GCP/AWS or Big Data technologies (e.g. Hadoop, Hive, Pig, etc.) Need to be worked on minimum 3 modelling projects till now in different areas: Predictive Modelling Mandatory kin actual business projects with monetary impact Exceptional data manipulation and analysis techniques; comfortable using very large (>10’s millions rows) datasets, containing both structured and unstructured data Machine Learning, Deep Learning, Clustering & Segmentation, Binary & Multi-Class Classification, ML Forecasting & Regression Models Good stability in employments and from reputed tier-1 employers in past. Key Accountabilities And Decision Ownership Support build & deployment of analytical solutions (models, hypothesis, analyses & scenarios) across the spectrum of analytical maturity - descriptive, inferential, predictive & prescriptive Leverage previously created data models, insights and analyses from across the Vodafone business to drive positive business outcomes Drive efficiencies in how analytical services are delivered, through automation and standardisation of analytical delivery VOIS Equal Opportunity Employer Commitment VOIS is proud to be an Equal Employment Opportunity Employer. We celebrate differences and we welcome and value diverse people and insights. We believe that being authentically human and inclusive powers our employees’ growth and enables them to create a positive impact on themselves and society. We do not discriminate based on age, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, race, religion, sexual orientation, status as an individual with a disability, or other applicable legally protected characteristics. As a result of living and breathing our commitment, our employees have helped us get certified as a Great Place to Work in India for four years running. We have been also highlighted among the Top 5 Best Workplaces for Diversity, Equity, and Inclusion, Top 10 Best Workplaces for Women, Top 25 Best Workplaces in IT & IT-BPM and 14th Overall Best Workplaces in India by the Great Place to Work Institute in 2023. These achievements position us among a select group of trustworthy and high-performing companies which put their employees at the heart of everything they do. By joining us, you are part of our commitment. We look forward to welcoming you into our family which represents a variety of cultures, backgrounds, perspectives, and skills! Apply now, and we’ll be in touch!

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities Design, develop, and implement AI tools - ML models to solve complex business problems Develop robust, scalable, and maintainable code that meets the high standards of quality and performance Developing scripts or tools to automate repetitive tasks Contribute to the development, testing, deployment, and maintenance of machine learning models and AI-powered systems for consumer-facing platforms Participate in the entire software development lifecycle - design, implementation, testing, CI/CD and production operations Provide guidance on how to best use specific tools or technologies to achieve the desired results Communicate and present complex analytics results and concepts to leadership and internal stakeholders Collaborate with the team to identify opportunities for AI/ML integration Creating documentation for infrastructure design and deployment procedures Stay current with the latest trends and advancements in the field of AI/ML and software engineering, evaluate new technologies, and propose innovative ways to tackle healthcare challenges Troubleshoot complex technical issues, identify root causes, and implement effective solutions in both development and production environments Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Bachelor of Science in computer science or related quantitative field 3+ years of experience with software engineering and software development life cycle (SDLC) 3+ years of experience with demonstrable proficiency in programming languages such as Java or Python 2+ years of experience with one of the cloud platforms (Azure, AWS or GCP). Azure cloud experience preferred 2+ years of experience as backend developer (Springboot, FastAPI) Experience building APIs Experience implementing machine learning and AI techniques Experience working within the healthcare industry or another regulated environment Experience in Python using common data science libraries Experience with DevOps practices, including CI/CD Experience building large-scale, consumer-facing applications Experience working in an Agile environment AI/ML Expertise: Understanding of core AI and machine learning concepts, models, and algorithms, demonstrated through practical application and system design. Ability to explain complex ideas clearly Solid Engineering Fundamentals: Proven growth in software design, data structures, algorithms, and writing clean, testable, and maintainable code Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes and recommend solutions Proven ability to quickly learn new technologies and methodologies, comfortable working on tasks requiring exploration and tackling ambiguity Proven organized self-starter, with drive and commitment; able to work with little supervision Proven solid written & verbal communication skills; including the ability to present detailed analyses to a broad audience At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. #NIC #NJP

Qualification Strong experience in Python 2+ years’ experience of working on feature/data pipelines using PySpark Understanding and experience around data science Exposure to AWS cloud services such as Sagemaker, Bedrock, Kendra etc. Experience with machine learning model lifecycle management tools, and an understanding of MLOps principles and best practice Experience with statistical models e.g., multinomial logistic regression Experience of technical architecture, design, deployment, and operational level knowledge Exploratory Data Analysis Knowledge around Model building, Hyperparameter tuning and Model performance metrics. Statistics Knowledge (Probability Distributions, Hypothesis Testing) Time series modelling, Forecasting, Image/Video Analytics, and Natural Language Processing (NLP). Good To Have Experience researching and applying large language and Generative AI models. Experience with LangChain, LLAMAIndex, Foundation model tuning, Data Augmentation, and Performance Evaluation frameworks Able to provide analytical expertise in the process of model development, refining, and implementation in a variety of analytics problems. Knowledge on Docker and Kubernetes. Role Generate actionable insights for business improvements. Ability to understand business requirements. Write clean, efficient, and reusable code following best practices. Troubleshoot and debug applications to ensure optimal performance. Write unit test cases Collaborate with cross-functional teams to define and deliver new features Use case derivation and solution creation from structured/unstructured data. Actively drive a culture of knowledge-building and sharing within the team Experience applying theoretical models in an applied environment. MLOps, Data Pipeline, Data engineering Statistics Knowledge (Probability Distributions, Hypothesis Testing) Experience 4 to 5 years Job Reference Number 13027

Role Overview The Lead Machine Learning Engineer works collaboratively to design and develop machine-learning-based solutions for clients. This role is mission-critical, leading project teams, shaping project scopes, and working directly with clients to iterate on solutions. While not a direct people manager, the Lead ML Scientist serves as a technical team lead, providing mentorship, guidance, and strategic direction to team members to ensure successful project delivery. They are responsible for bringing together state-of-the-art solutions to solve our clients' most pressing problems. Core Responsibilities Conduct research and development on AI/ML models to solve complex technical challenges. Design, train, and optimize machine learning models for performance, scalability, and efficiency. Experiment with state-of-the-art AI techniques, such as deep learning, reinforcement learning, and generative models. Work closely with engineers and scientists to integrate models into production environments. Analyze and preprocess large datasets to improve model accuracy and robustness. Stay updated with advancements in AI and ML and apply new findings to ongoing projects. Ensure AI models adhere to ethical AI practices, fairness, and interpretability principles. Contribute to technical documentation and research publications when applicable. Strong problem-solving skills and analytical thinking. Ability to work independently and collaborate with cross-functional teams. Effective communication skills for discussing technical concepts and findings. Act as a technical lead by guiding and mentoring team members, providing feedback, and fostering collaboration. Help shape project scopes, drive technical discussions, and ensure alignment with business goals. Experience / Qualifications Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field. 6+ years of hands-on AI/ML experience, with increasing leadership responsibilities. Technical Skills Strong proficiency in ML tools (e.g., PyTorch, Scikit-learn, Huggingface). Advanced programming skills in Python; experience with R and/or C++ is a nice to have. Deep understanding of machine learning algorithms, statistical modelling, and optimisation techniques. Experience scoping and leading machine learning projects from scoping/design through deployment/monitoring. Experience deploying ML models in production environments. Experience with cloud-based ML infrastructure (AWS, GCP, Azure) and MLOps practices/tools. Leadership & Soft Skills Strong mentorship abilities and a passion for helping others grow. Ability to influence technical strategy without direct managerial authority. Effective communication skills to present complex ML concepts to diverse audiences. Problem-solving mindset and ability to work cross-functionally with different teams. Impactron Benefits Impactron offers an exciting opportunity to become an integral part of a rapidly growing consulting organisation and grow rapidly with it. Impactron offers competitive salaries and excellent incentives, with a strong focus on the physical, financial, and mental well-being of employees. At impactron, you'll work on some of the most prominent organisations across the globe and will work as a trusted advisor to them. There is great potential for developing your career in this early-stage, fast-growing consulting organisation founded by seasoned entrepreneurs who have decades of experience in building, exiting, and running multiple successful organisations. Company Description Impactron Global is a UK-based IT consulting company that operates global capabilities centres (GCCs) in India for our global clients. We are setting up an India centre for a leading data and artificial intelligence (AI) consultancy in the US. They help businesses build the strategy, technology, and teams they need to scale growth and efficiency. You’ll be joining a team of skilled Data Engineers, Data Scientists, Machine Learning (ML) Experts, and AI Engineers who seamlessly integrate with client teams to solve their most challenging business problems. Leveraging strategic partnerships with Snowflake, AWS, Matillion, Fivetran, Pyramid Analytics, and more, the company uses modern technology, scalable architectures, and industry best practices. This consultancy is a uniquely powerful business partner to the enterprise, with a talent mix that is nearly impossible to find under one roof. It is a fast-growing firm with significant career opportunities for motivated professionals who want to help create a unique company.

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: A career within…. A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities: · Design, develop, and maintain web applications using Java, Spring Boot, and Angular. · Collaborate with cross-functional teams to analyze user requirements and translate them into technical specifications. · Implement microservices architecture and RESTful APIs using Spring Boot. · Develop responsive UI components using Angular, ensuring seamless integration with backend services. · Conduct code reviews, testing, and debugging to ensure application quality, performance, and scalability. · Optimize applications for maximum speed and scalability. · Participate in architectural and design discussions to improve application performance and efficiency. · Ensure security and data protection best practices are followed. · Mentor junior developers, providing guidance and support to enhance their skills and career growth Mandatory skill sets: Experience with microservices architecture and developing RESTful APIs. Proficiency in front-end technologies such as HTML5, CSS3, and JavaScript, along with Angular framework. Preferred skill sets: Familiarity with version control systems like Git. Years of experience required: 8-12 Years Education qualification: B.Tech / M.Tech / MBA / MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Business Administration, Master of Engineering, Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Java Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Coaching and Feedback, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling {+ 43 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. The roles in this function will cover all primary development activity across all technology functions that ensure we deliver code with high quality for our applications, products and services and to understand customer needs and to develop product road maps. These roles include, but are not limited to analysis, design, coding, engineering, testing, debugging, standards, methods, tools analysis, documentation, research and development, maintenance, new development, operations and delivery. Primary Responsibilities Design, implement and maintain applications within all phases of the Software Development Life Cycle (SDLC) Develop, test, implement and maintain application software working with established processes Communicate effectively with other teammates and QA Establish, refine and integrate development and test environment tools and software as needed Identify production and non-production application issues Identify opportunities to fine-tune and optimize applications for developed projects Provide technical support and consultation for full stack application and infrastructure questions Serve as a mentor to less experienced developers End-to-end development and support application of engineering to the design, development, implementation, testing and maintenance of software in a systematic method Build quality into every output Evaluate new tools, new techniques, and strategies Automation of common tasks Build common utilities to drive organizational efficiency with a passion around technology and solutions and influence of thought and leadership on future capabilities and opportunities to apply technology in new and innovative ways Code Angular 18+, C#, .NET Core, React & Node JS based Azure cloud hosted Web applications Write SQL Server Stored Procedures, Create SQL Server tables, functions, triggers, indexes Optimize the existing Stored Procedures Participate in daily Scrum meetings and delivering the assigned tasks within the timelines specified and meeting the team goal Role-sharing in the team as and when the demand would be Translate requirements into technical specifications Provide explanations and interpretations within area of expertise Work with business segments to better define project requirements for development and implementation Work with minimal guidance; seeks guidance on only the most complex tasks Analyze and investigate Translates concepts into practice Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications MCA or B.E. or B. Tech or equivalent with 6+ years experience Experience with Generative AI, OpenAI, Lang Chain, and RAG Solid knowledge C#, .NET Core, ASP.NET, MVC, Angular/React, Web API, and Python Proficient in SQL Server and vector databases (Pinecone/Chroma) Proven to be flexible enough to learn new skills Proven good communication and presentation skills Preferred Qualifications Experience in Health care domain Knowledge of Web Services, Microservices, Interactive Web UI development - jQuery, Bootstrap, async, etc. ML, NLP and AI working knowledge and exposure Production supports exposure At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. #Nic #NJP

Roles and Responsibilities • Build and deploy scalable LLM-based systems using OpenAI, Claude, LLaMA, or Mistral for contract understanding and legal automation. • Design and implement Retrieval-Augmented Generation (RAG) pipelines using vector databases (FAISS, Pinecone, Weaviate). • Fine-tune and evaluate foundation models for domain-specific tasks like clause extraction, dispute classification, and document QA. • Create recommendation models to suggest similar legal cases, past dispute patterns, or clause templates using collaborative and content-based filtering. • Develop inference-ready APIs and backend microservices using FastAPI/Flask, integrating them into production workflows. • Optimize model latency, prompt engineering, caching strategies, and accuracy using A/B testing and hallucination checks. • Work closely with Data Engineers and QA to convert ML prototypes into productionready pipelines. • Conduct continuous error analysis, evaluation metric design (F1, BLEU, Recall@K), and prompt iterations. • Participate in model versioning, logging, and reproducibility tracking using tools like MLflow or LangSmith. • Stay current with research on GenAI, prompting techniques, LLM compression, and RAG design patterns. Qualifications • Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field. • 2+ years of experience in applied ML/NLP projects with real-world deployments. • Experience with LLMs like GPT, Claude, Gemini, Mistral, and techniques like fine-tuning, few-shot prompting, and context window optimization. • Solid knowledge of Python, PyTorch, Transformers, LangChain, and embedding models. • Hands-on experience integrating vector stores and building RAG pipelines. • Understanding of NLP techniques such as summarization, token classification, document ranking, and conversational QA. • Bonus: Experience with Neo4j, recommendation systems, or graph embeddings.

Description Trusted by more startups around the world, AWS makes the power of cloud computing accessible for all by giving founders everywhere access to the same technology that powers the world’s largest companies. With nearly 20 years of experience gained from supporting hundreds of thousands of startups that have come before, we help founders prove that their world-changing ideas are possible, at any stage of growth or level of funding. This is why more startups, and over 80% of unicorns, build on AWS. Are you interested to join a diverse, inclusive and high-performing team with the mission to increase the probability for startups to be successful? From Airbnb to Zalando, the world's top digital companies started building on AWS. We offer the world’s most comprehensive and broadly adopted cloud platform with dedicated startup programs and more than 200 fully featured services. Millions of customers – including the fastest-growing startups, largest enterprises, and leading government agencies – are using AWS globally to become more agile, innovate faster and lower costs. We are looking for a sales manager with a proven track-record in building and leading highly effective sales teams across multiple countries. You bring passion for innovative startups and latest technology trends, especially GenAI, machine learning (ML), and virtual/augmented reality (VR/AR). Your startup customers strive to become the next unicorns and future enterprises within their domain of Generative AI and advanced ML, which may also intersect with Fintech, Healthcare & Life Sciences, Mobility/Automotive and Enterprise SaaS applications. You should be an autonomous sales manager that brings a hands-on builder mentality, strategic thinking and a sense of urgency for team development and operational excellence. You will be responsible for your own business, maintain C-level relationships with key customers and deliver results by empowering your team to win new startup customers through strategic engagements and scaling initiatives. This role reports into the General Manager of EMEA Startups as part of a cross-functional leadership team, including Sales, Solutions Architecture, Business Development, Partner, Marketing and many more. You should be a self-starter with entrepreneurial spirit and excellent communication skills who can work collaboratively with others and is prepared to work in a fun, fast-paced environment, to execute against ambitious goals and to consistently embrace the Amazon Day 1 Culture. Key job responsibilities Embrace a positive culture in your organization that inspires diversity, inclusion, equity and high performance. Ensure customer satisfaction through business value creation. Develop, communicate and execute the go-to-market strategy for your teams to accelerate customer adoption and grow market segment share. Meet or exceed your quarterly and yearly goals. Identify, implement, measure and improve critical KPIs that will help maintain a robust business operation. Act as an executive sponsor in key accounts. Represent the company in professional events. About The Team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Basic Qualifications 7+ years of direct sales or business development in software, cloud or SaaS markets selling to C-level executives experience 10+ years of business development, partner development, sales or alliances management experience Preferred Qualifications Experience working with/ for GenAI startups or in AIML domain Experience developing GTM plans for GenAI startups Understanding of GenAI offerings, use cases Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - AWS India - Maharashtra Job ID: A3017048

Job Description: Gen AI Exp: 3+ Years Required Skills And Experience Strong experience with M365 Gen AI and Co-pilot Studio. Proficiency in AI/ML technologies and frameworks. Experience with SharePoint Online and Azure services. Excellent problem-solving and communication skills. Proven track record of developing and implementing AI solutions. Experience with Azure AI services (e.g., Cognitive Services, Machine Learning). Desired Skills And Experience Experience with natural language processing (NLP) and machine learning (ML). Familiarity with Microsoft 365 development tools and services. Agile development experience. Knowledge of accessibility and UX best practices.

Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide. Living our values everyday results in our team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves. AI Solutions Architect Join us in shaping the future of AI-powered business transformation. Five9 is committed to staying ahead in the rapidly evolving AI landscape, driving innovation, and leveraging the most advanced tools to deliver a lasting competitive advantage. To spearhead our AI innovation efforts, we are seeking a highly motivated and collaborative AI Solutions Architect to join our Center of Excellence team within Corporate IT. This role blends the responsibilities of an AI Solutions Architect and an AI Innovation Engineer, requiring a strategic mindset and a passion for exploring the art of the possible. You will be at the forefront of identifying, evaluating, and implementing emerging AI technologies that can transform our business, enhance employee productivity, and create a sustainable competitive edge. The ideal candidate will be a visionary technologist with a genuine passion and natural curiosity for new technology, coupled with the ability to think outside the box and leverage AI in new and novel ways. We're looking for someone who is, at heart, a true technology enthusiast, and who can find the art of the possible through innovation in AI. The position is based in Chennai, India. Key Responsibilities Architect, design, and implement end-to-end AI solutions that address complex business challenges and improve employee productivity Lead the technical evaluation and selection of AI technologies, frameworks, and platforms, ensuring alignment with enterprise architecture and security standards Build and deploy scalable AI models and pipelines, integrating them with existing business applications and IT infrastructure Collaborate with data engineers, software developers, and business analysts to gather requirements, define solution architectures, and deliver high-impact AI projects Rapidly prototype and iterate on AI solutions, conducting proof-of-concepts and pilots to validate business value and technical feasibility Optimize AI models for performance, scalability, and maintainability in production environments Document solution designs, best practices, and technical standards to support knowledge sharing and operational excellence within the Center of Excellence Stay current with the latest advancements in AI, machine learning, and related technologies, and proactively introduce new tools and approaches to keep the organization on the cutting edge Provide technical guidance to team members and stakeholders across the business Key Requirements: Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field with a focus on AI topics 2+ years of hands-on experience architecting and implementing AI/ML solutions in a corporate or enterprise environment Solid understanding of ML concepts, model development, and deployment. Experience with frameworks like TensorFlow, PyTorch, Scikit-learn, and ML Ops tools (e.g., MLflow, Kubeflow). Strong programming skills in Python and experience with data engineering tools and cloud platforms (e.g., AWS, Azure, GCP) Solid understanding of enterprise IT architecture, security, and integration best practices Demonstrated ability to translate business requirements into technical solutions and communicate complex concepts to both technical and non-technical audiences A genuine passion and natural curiosity for new technology, with a demonstrated ability to think outside the box and leverage AI in new and novel ways Ability to find the art of the possible using innovation in AI, and to drive execution from concept to delivery Strong analytical, problem-solving, and troubleshooting skills Self-starter with a proactive mindset and a drive to stay ahead of the curve in AI advancements Must reside in Chennai, India Why You’ll Love This Role: You’ll be a key technical leader in our AI Center of Excellence, directly shaping the future of our business through hands-on execution and innovation You’ll collaborate with a team of passionate technologists and business leaders, working on impactful projects that push the boundaries of what’s possible with AI You’ll have the opportunity to experiment with the latest AI technologies, architect enterprise-scale solutions, and make a tangible difference across the organization Five9 embraces diversity and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better we are. Five9 is an equal opportunity employer. View our privacy policy, including our privacy notice to California residents here: https://www.five9.com/pt-pt/legal. Note: Five9 will never request that an applicant send money as a prerequisite for commencing employment with Five9.

Company Description Faiiy is an Ai Powered fashion assistant that help users to discover outfits based to their preference like style, body, personality and more with personalized reccomendation, virtual try-on and social share. We are looking for a tech co-founder/ CTO who can lead the product build from the ground. This is a chance to join from day kne and create something meaningful in fashion tech space. 🔧 What You’ll Do: ( Key Role ) • Build and lead the tech vision , MVP and beyond ( Mobile/web) • Work on AI/ML reccomendation systems, intregation with e-commerce platform • Help to develop features like Virtual Try-on , Outfit curation and user personalization • Won the tech stack, architecture, and early Devlopment decision • Collaborate closely on product strategy, roadmap and user experience ⚡ ️You Might Be Fit If ( Eligibility ) • You are a full stack developer or AI/ML engineer with startup hunge r • Strong experience in AI models, Python,React/Next.js & Mobile Development . • You care about design, detail abd building for real users • Passionate about fashion, personalization or consumer tech • Your are open to join as a co-founder with equity Why Join < /strong>U s • Early Stage Build from 0> 1 • Hugh market: Fashion + Ai is explodin g • Real problem, Real user What We Offer • Co-founder role with significant equity ownershi p • Full creative and technical freedom to experiment and innovation • Join the build3 impact accelerator program • Future potential for Salary + Team building after fundraising . • Mission driven opportunity to solve a real problem in india’s fashion tech space Lets Tal k • If you are excited about building meaningful fashion tech from the ground up - Lets Connect !

Making a career change is a big decision. Why consider Aptos? Become a part of a team that is passionate about creating and delivering cutting-edge solutions for retailers worldwide. At our company, we’re dedicated to supporting your career aspirations and helping you exceed your goals. You’ll benefit from industry-leading training, global development opportunities, and the chance to collaborate within a diverse culture across our offices in nine countries. Our inclusive culture reflects our purpose: to make a difference for every colleague, every client, every day . As a leading provider of Unified Commerce solutions for retail, our technology empowers top retail brands by optimizing product management, promotions, merchandising, and store operations. With the global shift toward our cloud-native, microservices architecture, opportunities for career growth have never been more exciting. Today, more than 100,000 retail stores in fashion, grocery, footwear, general merchandise, discount, and sporting goods rely on our solutions to generate nearly $2 trillion in annual revenue. We hope you’ll join us in driving innovation and delivering impactful solutions as we continue leading the Unified Commerce revolution. Aptos has an opening for an ML engineer to join our Bengaluru team. Aptos’ market-leading platform drives the world’s largest retailers in terms of their product pricing, promotion and merchandising decisions worldwide. Over 33,000 retail locations and $200+B in annual revenue across grocery, drug, convenience, general merchandise, discount, sporting goods stores, fashion, and eCommerce sites optimize with Aptos’ solutions. The Science team, within the Product Org, plays a central role at the company and is responsible for the different AI/ML solutions (modeling, forecasting, optimization, agentic AI etc) at Aptos. As an ML engineer on the Science team, you will get to be part of a skilled and diverse team while working with a mix of data scientists and engineers. You’ll not only have the opportunity to learn/use state-of-art machine learning techniques but also implement/roll-out modern engineering frameworks. If you’re someone who is ready to take on a challenge, drive change, and be part of an awesome team, this is the right role for you! About The Role The ML engineer role is responsible for designing, building, deploying, and evolving the end-to-end AI/ML systems at Aptos’ (demand modeling and forecasting, optimization, AI, etc.) Who you are? You have a Bachelor's/Master’s degree in computer science, engineering, or related STEM field, or equivalent work experience Strong algorithmic problem-solving skills and an analytical mindset Development experience with one or more of the following, or another similar language: Python, C/C++, Java for minimum 1 year Familiarity with Machine Learning software such as Tensorflow, Pytorch, Scikit-Learn, Spark MLLib, etc. Familiarity with GenAI / LLM concepts such as agent frameworks, workflows, evaluation, RAG, prompting, fine-tuning, etc. Able to communicate, collaborate, and work effectively in a distributed team. Can think about and write high quality code and can demonstrate that capability, be it through job experience, schoolwork, or contributions to community projects. Complete course work/experience with Algorithms, Distributed Systems, Databases Solid understanding of software engineering concepts and methodologies Familiarity with software testing principles Enjoy tough technical challenges and are naturally intellectually curious Seek to drive change and influence others through clear and effective communication. What you’ll do? Work and interact with a diverse set of stakeholders in a cross-functional organization within an Agile environment. Perform research as required to specify and develop or enhance your product Work with product, engineers, and data scientists to translate ideas into new products, services and features Strengthen technical skills through mentorship and guidance from experienced engineers We also look for Passion Initiative and a Pioneering Spirit Quality orientation Resourcefulness and application Are you the person we’re looking for? Big picture thinker with laser focus. You have a unique ability to see both the forest and the trees. It’s what sets you apart from the rest. You start with a good understanding of the broader strategy, zoom in to assess one particular aspect of that strategy, and then zoom back out to see how changes to that particular area will affect the broader process. Expert relationship cultivator. Product managers think you’re a good partner -- because you are. Developers feel you respect their opinions -- because you do. You’re a true people person, a natural collaborator, and a highly sought-after resource. Quality orientation. You have proven success at writing quality user stories and analysis deliverables through the application of established criteria like INVEST and SMART. Your work is thoughtful, timely and valuable to the team. Resourcefulness and application. At Aptos, we have a pioneering spirit -- when we have questions, we find answers; when we’re faced with challenges, we find solutions. We turn to a variety of resources, including our own colleagues, our professional network, the Internet, articles and books -- whatever helps us get the job done. But it’s not just about using a variety of resources to gain knowledge -- it’s also about applying that knowledge to other areas of the job or business where it might make sense. We offer a competitive total rewards package including a base salary determined based on the role, experience, skill set, and location. For those in eligible roles, discretionary incentive compensation may be awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. By submitting an application for this job, you acknowledge that any personal data or personally identifiable information that you provide to us will be processed in accordance with our Candidate Privacy Notice.

Job Role: Senior Software Engineer Location: Hyderabad / Gurgaon / Noida Start Date: As soon as possible Key Responsibilities Design, develop, modify, debug, and/or maintain software code according to functional, non-functional, and technical design specifications. Follow software engineering standards and development methodologies to ensure code is maintainable, scalable, and supportable. Work within a scrum team, participate in peer code reviews, and collaborate with cross-functional teams. Take technical accountability for specific work products and provide support during solution design. Encourage innovation and continuous improvement in all assigned tasks. Actively participate in user story refinement and solution design. Develop solutions that meet or exceed acceptance criteria. Communicate effectively across time zones. Key Requirements: Experience: 7–11 years Required Skills Strong hands-on experience in SQL, Angular, and Node.js/Golang/React. Coding experience in Node.js, Golang, or similar languages (React/Java). Experience in API development within a microservices architecture (SOAP/REST). Understanding of AI/ML with Python coding experience (desirable). Strong design and code quality practices. Experience with relational databases like PostgreSQL or SQL Server. Familiarity with Jenkins, AWS/Azure, Docker, and cloud-native apps. Experience with CI/CD in an agile workflow. Ability to independently develop user story requirements in a self-managed Scrum team. Personal Attributes: Excellent communication skills. Ability to work in distributed teams. Capable of managing multiple timelines.

Job Description: About Us At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us! Global Business Services Global Business Services delivers Technology and Operations capabilities to Lines of Business and Staff Support Functions of Bank of America through a centrally managed, globally integrated delivery model and globally resilient operations. Global Business Services is recognized for flawless execution, sound risk management, operational resiliency, operational excellence and innovation. In India, we are present in five locations and operate as BA Continuum India Private Limited (BACI), a non-banking subsidiary of Bank of America Corporation and the operating company for India operations of Global Business Services. Process Overview* Loan Servicing Operations supports existing Commercial Lending products and services (Syndicated & Bilateral Loans). These services include updating customer and loan information, responding to client and business partner enquiries, managing financial and non-financial transactions, generating bills and invoices, and providing customer support and general maintenance through the life of the loan. Job Description* Dedicated Servicing Team (Agented/Part-bought) supports Syndicated Loans servicing both 'As 'Agent' and in 'Part-bought' lender capacity, mainly for US region relationships. Servicer-1 works on various financial transactions and non-financial service requests received from Clients/Agent banks. Loan IQ is the System of Record to process all such transactions. Responsibilities* Comprehending notices/incoming requests from Client/Agent Bank/Lenders and verifying/updating details in workflow tool Timely and accurate assignment of requests from workflow tool to processors Validating payment instructions/ notices and releasing advances/wires/notices to clients, lenders & Agent Banks on Loan IQ Actioning on periodic rate changes, rollovers, advances, payments, conversions on Loan IQ and Fronted Letter of Credit for Large Corporates Updating system of record while adhering to standard operating procedure and guidelines Managing manual matching and timely monitoring of wire matching automation, its reporting and working on manual matching Understanding of General Ledger postings and past dues Timely action, resolution and reconciliation of financial breaks/past dues and following escalation matrix as & when needed. Effective communication and coordination with fellow team members, managers, and other stakeholders (agent banks/lenders). Timely action on preparation and distribution of Delayed Investor Funding Report to stakeholders. Taking ownership of assigned portfolios/service requests/transactions and ensuring service request completions within turnaround time. Adherence to the Business Deliverables, SLA (Service Level Agreement) and Accuracy. Requirements* Education* B Com, M Com, MBA (graduation in finance stream) Certifications - If Any Experience Range* 0-4 Years of relevant experience Foundational Skills* Overview & Navigation of Loan IQ │ Overview & Navigation of iCon/GSS │ Overview & Navigation of Clearpar │ Banking & Markets Knowledge - Closing & Settlements, Loan Trade Servicing & Assignments, Primary & Secondary Markets │ Reconciliation - Understanding on GLs, Past dues etc. │ Commercial & Business Banking Lending - Basic Overview, Credit Product Knowledge, Loans Life Cycle & Credit documents │ Loan Servicing (Bilateral and Syndication) - Overview, types of Facilities, roles of different parties, Advances, Payments, Pricing Change, Renewals/Rollovers, Conversions, Fees, LCs, and Loan Maintenance │ Attention to Detail │ Communication Skill - Verbal/Written │ Flexible and Open-Minded │ Customer Focus │ Stakeholder Management & Network/Relationship Building │ Critical Thinking │ MS Office (Excel, Word, PowerPoint) │ Desired Skills* Functional knowledge of AI/ML tools │ Operational Risk - Inadequate or failed internal processes, people, and systems or from external events │ Global Payment Product/Ops knowledge - Wire Transfer, Direct Debit, ACH, Swift etc. │ Active Listening │ Team Building │ Numerical Ability │ Overview & Navigation of WorkFusion │ Data Management & Dashboard Tools - Tableau, Alteryx, SharePoint etc. │ Work Timings* 18.30 hrs - 03.30 hrs (US Region) 19.30 hrs- 04.30 hrs (US Region) Job Location* Gurugram/Hyderabad

Position Description Job Title: Data EngineerExperience Level: 5+ YearsLocation: Hyderabad Job Summary We are looking for a seasoned and innovative Senior Data Engineer to join our dynamic data team. This role is ideal for professionals with a strong foundation in data engineering, coupled with hands-on experience in machine learning workflows, statistical analysis, and big data technologies. You will play a critical role in building scalable data pipelines, enabling advanced analytics, and supporting data science initiatives. Proficiency in Python is essential, and experience with PySpark is a strong plus. Key Responsibilities Data Pipeline Development: Design and implement scalable, high-performance ETL/ELT pipelines using Python and PySpark. ML & Statistical Integration: Collaborate with data scientists to integrate machine learning models and statistical analysis into data workflows. Data Modeling: Create and optimize data models (relational, dimensional, and columnar) to support analytics and ML use cases. Big Data Infrastructure: Manage and optimize data platforms such as Snowflake, Redshift, BigQuery, and Databricks. Performance Tuning: Monitor and enhance the performance of data pipelines and queries. Data Governance: Ensure data quality, integrity, and compliance through robust governance practices. Cross-functional Collaboration: Partner with analysts, scientists, and product teams to translate business needs into technical solutions. Automation & Monitoring: Automate data workflows and implement monitoring and alerting systems. Mentorship: Guide junior engineers and promote best practices in data engineering and ML integration. Innovation: Stay current with emerging technologies in data engineering, ML, and analytics. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. 5+ years of experience in data engineering with a strong focus on Python and big data tools. Solid understanding of machine learning concepts and statistical analysis techniques. Proficiency in SQL and Python; experience with PySpark is highly desirable. Experience with cloud platforms (AWS, Azure, or GCP) and data tools (e.g., Glue, Data Factory, Dataflow). Familiarity with data warehousing and lakehouse architectures. Knowledge of data modeling techniques (e.g., star schema, snowflake schema). Experience with version control systems like Git. Strong problem-solving skills and ability to work in a fast-paced environment. Excellent communication and collaboration skills. Your future duties and responsibilities Required Qualifications To Be Successful In This Role Together, as owners, let’s turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because… You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction. Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team—one of the largest IT and business consulting services firms in the world.

🚀 We’re Hiring | Microsoft Architect – AI/ML + Mobile SaaS Products 📍 Location: Hyderabad / Warangal / Remote-India 🏢 Softpath Group | Softpath System | Softpath Medical | Exceed Management | Optevus | nGaze | SupplierBridge | Medonex.AI Are you an experienced Microsoft Architect passionate about building secure, scalable, AI-enabled web and mobile platforms ? Join us to architect the next generation of intelligent SaaS products transforming AI hiring, face recognition, supplier intelligence, and healthcare recruitment . 🔧 Tech Stack You’ll Work With • Azure Cloud (AKS, B2C, Durable Functions, Redis, Cosmos DB) • .NET Core, C#, Web API, GraphQL • Angular 19 + TypeScript (AOT, Lazy Loading, RBAC) • Mobile Development : Progressive Web Apps (PWA), NativeScript, Ionic, or Flutter • PostgreSQL (Performance-tuned, Indexing, Partitioning) • Istio Ingress, Kubernetes Microservices, GitHub Actions • Real-time Monitoring (Prometheus, Grafana, Azure Monitor) • AI/ML Integration (Face Recognition, RFP Automation, AI Voice Agents) 🎯 What You’ll Do • Lead architecture for multiple AI-first web and mobile products • Drive modernization: Event-driven, microservices, polyglot persistence • Define enterprise-grade security, observability, and scalability standards • Mentor tech leads, review code, drive architectural excellence • Collaborate with US and India teams on vision, execution, and innovation ✅ You Should Have • 15+ yrs in Microsoft stack with strong cloud-native expertise • Proven experience building mobile applications and APIs • Deep hands-on experience with Azure, .NET Core, Angular • Strong understanding of DevOps, observability, and security in cloud • Passion for mentoring and driving best practices 💡 Bonus : Experience in AI/ML, face recognition, or intelligent workflow automation 📩 Apply now or refer someone who fits! 📬 careers@softpath.net #Hiring #MicrosoftArchitect #AzureJobs #MobileDevelopment #DotNetCore #Angular #AKS #AIJobs #EnterpriseArchitecture #SoftpathGroup

We’re building the next-generation communications analytics and automation platform—one that fuses deep telemetry, enterprise-scale voice/calling data, and AI-driven remediation. As a Senior Backend Engineer , you'll play a core role in designing the resilient, scalable backend of a high-visibility platform that already drives action across global Microsoft Teams deployments. This isn’t a maintenance gig. This is architecture, orchestration, and ownership. You’ll help design microservices, implement scalable APIs, and ensure data flows seamlessly from complex real-time systems (like call quality diagnostics and device telemetry) into actionable intelligence and automation pipelines. If you’re excited by backend systems with real-world impact—and want to transition into intelligent agentic systems powered by GenAI—this role is built for you. What You'll Work On Platform Engineering (Core Backend) Design and implement robust, cloud-native services using modern backend stacks (Node.js, Python, .NET Core, or similar). Build scalable APIs to surface data and actions across TeamsCoreIQ modules (call analytics, device insights, policy management, AI-based RCA). Integrate with Microsoft Graph APIs and Teams Calling infrastructure (Auto Attendants, Call Queues, Call Quality, Presence, Policies). Develop event-driven workflows using queues (Service Bus, Kafka, RabbitMQ) for high-throughput ingestion and action pipelines. Work with real-time data stores, telemetry ingestion, and time-series analytics backends (PostgreSQL, MongoDB, InfluxDB, or equivalent). Infrastructure & DevOps Support Help scale and secure workloads using Azure, Kubernetes, and CI/CD pipelines (GitHub Actions, Azure DevOps). Implement observability practices—logging, metrics, alerting—for zero-downtime insights and RCA. Future-Forward (Agentic Track) Support the evolution of the backend toward intelligent agent orchestration: Build services that allow modular “agents” to retrieve, infer, and act (e.g. provisioning, remediation, escalation). Explore interfaces for integrating OpenAI, Azure AI, or RAG pipelines to make automation contextual and proactive. What You Bring Must-Have Technical Skills 2+ years backend engineering experience with production-grade systems. Strong proficiency in at least one modern backend language (Node.js, Python, Go, or .NET Core). Deep understanding of RESTful API design, GraphQL is a bonus. Experience building cloud-native apps on Azure (preferred), AWS or GCP. Familiarity with Microsoft ecosystem: Graph API, Teams, Entra ID (AAD), SIP/VoIP call data a big plus. Experience with relational and NoSQL databases; data modeling and performance tuning. Bonus (Not Mandatory, but Highly Valued) Exposure to AI/ML pipelines, LangChain, OpenAI API, or vector databases (Pinecone, Weaviate). Background in observability, root-cause analysis systems, or voice analytics. Experience with policy engines, RBAC, and multi-tenant SaaS platforms. Traits We Love Systems Thinker – You optimize for scale and understand how backend services interact across a distributed system. Builder’s DNA – You love to own, refine, and ship high-quality features fast. Learning Velocity – You’re interested in agentic architectures, GenAI, and eager to transition toward intelligent orchestration. Code Ethic – You write clean, maintainable, testable code—and always think security-first. Performance Expectations (First 30 Days) ü Ship a core modules with full test coverage and observability. ü Deliver API endpoints for at least one major module (e.g. RCA, Call Analytics, DeviceIQ). ü Draft and refine at least one reusable internal service that improves time-to-market for future agents. ü Collaborate with frontend, DevOps, and AI teams to support rapid iteration and experimentation. Tips: Provide a summary of the role, what success in the position looks like, and how this role fits into the organization overall.