Description We started 7 years back with a mission to “transform the way India buys and sells, thereby transforming lives”. Not only have we created strong impact in India taking Amazon to a leadership position, but on this journey we have realised that we as a team are uniquely positioned to help Amazon reach the next billion customers on earth by working backwards from the opportunities presented by emerging customers & selling partners. We are taking those innovations global to other Amazon marketplaces. We continue on our mission to "transform daily lives and livelihoods, unleashing India's potential". We also believe that we have an additional responsibility to “help Amazon become truly global in its perspective and innovations” by creating global best-in-class products/platforms that can serve our customers worldwide. We, at Seller & Fulfilment Tech, build scalable and impactful Amazon-first innovations in the domains of seller experience & success, amazon managed fulfilment, external fulfilment (seller managed), global trade, supply chain, transportation and abuse prevention. We drive improvements across all the key elements of the Amazon flywheel - Selection, Pricing & Speed. We operate with a mental model of "Get Big, Get Close, Get Fit" by acting like "cowboys" to acquire scale (Get Big), build customer loyalty (Get Close), and improve operational efficiencies (Get Fit). Talk to us if you want to join us on the journey of “building tech solutions that empower sellers to delight the next billion customers”. This team defines, design and develop solutions for Fulfilment Center inbounding and Supply Chain Execution process. The optimisation processes thereby improves the fulfilment centre operations, Supply chain processes and delivery experience of our end customers and our Vendors who supply the great selection at Amazon. This also includes ML process to optimise Package free shipments and box/tote recommendations. This is a rare opportunity to be part of a growing team that is driving the growth of the amazon.in business. This is a contractual position which is or candidates who are looking to deal with scaling challenges at Amazon and ready to build mission critical system software applications and tools. It is also an opportunity for freelance candidates to become domain experts and have an enormous opportunity to make a large impact on the design, architecture and development of consumer products. Depending on individual performance this experience can lead to permanent positions as Software Development Engineers at Amazon. Key job responsibilities Designing and implementation of Software Basic Qualifications 1 to 2 year's experience developing highly interactive, internet applications Good understanding of web design principles and best use of current web technologies and scalable dynamic user interfaces Expertise in HTML5, CSS3, JavaScript, JSON/XML and web services is essential Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design Passion for writing great, simple, clean, efficient, quality code and solving complex and interesting problems Preferred Qualifications Bachelor’s degree in Computer Science, Computer Engineering or related technical discipline Experience with Photoshop, Illustrator, Ruby, PHP, Perl, SQL, Git and Linux would be considered a plus 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 - ADCI - Haryana Job ID: A2995072 Show more Show less

Associate Vice President - Sr. Product/Solution Architect Role Overview : As a Sr. Product/Solution Architect , you will actively engage in your software architecture craft, taking a hands-on approach to multiple high-visibility projects, while also being the visionary and driving force behind our modern product technology strategy, roadmap, and implementation. Your expertise will be pivotal in delivering solutions that delight customers and users, while also driving tangible value for Deloitte's business investments. You will leverage your extensive engineering craftsmanship and expert proficiency across multiple programming languages and modern frameworks, consistently demonstrating your exemplary track record in delivering high-quality, outcome-focused solutions. The ideal candidate will be a role model and engineering mentor, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions. Key Responsibilities : Strategic Vision and Alignment: Craft and articulate a vision for modern product architecture as it specifically applies to the product engineering teams in alignment with the Business Strategy and US Deloitte Technology strategy, mapping business capabilities to the enterprise technology landscape. Collaborate with diverse stakeholders, including product, engineering, experience, delivery, security, and infrastructure teams across various organizational levels. Advocacy and Technology Roadmap: Advocate for, develop, and communicate engineering group’s integrated architecture/technology strategy and implementation approach to the product engineering teams and business stakeholders. Ensure the organization is well-informed about objectives, KPIs, technology roadmaps, and progress. Always have an eye on reuse and leverage of the existing technology assets to minimize overall costs. Craft Mastery and Objectives Realization: Define, measure, and drive the achievement of KPIs and NFRs related to product architecture and engineering, including aspects such as system performance, scalability, and maintainability. Establish and evolve product architecture and engineering domain reference architecture, standards, and best practices. Actively be hands-on with design, architecture, and code part of the time, contributing to team velocity, and be actively engaged with engineers across SSDLC. Review code, drive tech debt reduction, and experiment with new technologies, driving their adoption together with engineers, inspiring them to stay current with the technology industry evolution. Capability Evolution and Development: Being an engineering expert, mentor and develop engineers. Coach and develop skills in modern architecture and engineering practices, related to microservices, cloud-native design, containers, AI/ML/GenAI, DevSecOps, and deployment techniques like, Blue-Green, Canary to minimize down-time, enabling A/B testing approaches. Showcase learning and mastery by showcasing experiments internally, speaking at conferences, writing whitepapers or blogs, and leading R&D collaborations. Iterative Value Delivery: Embrace an iterative and incremental approach to product architecture and engineering. Apply a leaning-forward approach to navigate complexity and uncertainty. Ensure alignment with customer and business goals through iterative steps and empirical evidence, adjusting architecture direction to meet customer needs and business viability. Customer-Centric Problem Solving: Demonstrate a relentless focus on addressing the most critical issues faced by customers, aligning technical solutions with business objectives. Exhibit deep expertise in minimizing unnecessary technical complexities, features, and functionalities that do not add value (no “overengineering”). Drive teams toward peak performance through continuous learning and improvement. Expert Proficiency and Continuous Improvement: Possess a keen ability to identify inefficiencies and opportunities for innovation within the product development lifecycle. Continuously enhance the product engineering operating model to be lean, adaptable, and responsive to changes, ensuring that engineering teams can deliver business value efficiently and effectively. Guide and transform the organization to embrace lean principles and foster a culture of innovation. Tech/Quality Risk Management: Establish and evolve reference architectures, coding standards, and best architecture/engineering practices. Ensure that the product architecture designs support performance, scalability, and reliability/resilience requirements, including guidance for necessary optimizations. Identify potential technical risks and develop mitigation strategies via proactive problem-solving and contingency planning to address any issues that may arise during development. Influential Communication: Influence, persuade, and drive decision-making processes. Communicate effectively in both written and verbal forms. Craft clear, structured arguments and technical trade-offs, supported by evidence. Organizational Engagement and Collaboration: Engage stakeholders at all levels of the organization, from team members to middle management to executives. Build collaborative and constructive relationships, co-creating and driving momentum and value across multiple organizational levels. The team : US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte’s primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte’s success. It is the engine that drives Deloitte, serving many of the world’s largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. Key Qualifications : A bachelor’s degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required. Experience is the most relevant factor. Excellent software engineering and product architecture/design foundation with deep understanding of Business Context Diagrams (BCD), sequence/activity/state/ER/DFD diagrams, OOP/OOD, data structures, algorithms, code instrumentations, etc. 15+ years proven experience with programming languages like Angular, React, NodeJS, Python, Streamlit, C#, .NET Core, Golang, SQL/NoSQL, unit testing frameworks with 8+ years’ experience in architecting enterprise solutions on modern technology stacks. 8+ years of hands-on experience with cloud-native engineering, using FaaS/PaaS/micro-services on cloud hyper-scalers like Azure, AWS, and GCP. 5+ years of hands-on experience with Azure cloud-native services specifically (e.g., API Management, Event Hub, Service Bus, Functions, Service Mash, Logic Apps, AKS, Batch, Istio, Archive Storage, Data Lakes, Synapse, SQL, Redis, CosmosDB, DocumentDB, PowerBI, Key Vault, Application Insights, etc. 3+ years of experience with AI/ML and GenAI is preferred. Deep understanding of methodologies & tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc. to deliver high quality products rapidly. Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 304886

Staff Software Developer- SAP AATP Developers Hyderabad, India General Management/ Administration/ Support 66204 Job Description WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ SAP AATP - STAFF BUSINESS SYSTEMS ANALYST/STAFF DEVELOPER THE ROLE: AMD seeks to employ SAP professionals experienced in the AATP domain. These professionals will support AMD IT initiatives for Supply Chain, Planning, Scheduling, Finance and Revenue operations. By engaging with stakeholders and internal business partners, they will contribute to aligning IT with team objectives and business requirements. They will provide guidance on business processes, from design through execution. KEY RESPONSIBILITIES: Extensive business process knowledge in AATP modules of SAP, as well as fair knowledge of SD, MM, WM modules. Experience in implementing S/4 HANA across the complete life cycle, including support for Business Process Flows and System Process Modeling with a strong understanding of Business Requirements and System Analysis. Functional expertise includes AATP modules of SAP, with good knowledge in forecasting and operations areas. Technical awareness includes ECC 6.0, ABAP Objects, Enhancements, Workflow developments, SAP Script, CI/DS and EDI. Experience with SAP HANA and FIORI, Architecture and Data Provisioning, Information Views, modeling functions, SQL Script and Procedures, Virtual Data Models in HANA, Management and Administration of Models, Security in Modeling, Optimization of Models. Experience in HANA security including User Management, Roles, and Analytic Privileges. Experience in HANA SQL Script Stored Procedures, Table Functions, and dynamic privileges by SQL query in Information models. Experience in SAP UI Developments and installation tools on eclipse base platform. SAP Core Competency includes knowledge in Dialog Programming (Screen, Table Controls, Table Strips, etc.) and reports. Expertise in Reporting, Data migration, Dictionary, Performance Optimization, Testing, and Debugging. Awareness in interfaces like BAPI, BAdI, RFC, EDI, IDoc, and ABAP proxies. Expertise in performance tuning the program loads with large datasets. Expertise in Application Interface Framework for organizing IDOCS and proxy. Excellent analytical, communication, and interpersonal skills. Proficiency in preparing functional design document, technical writing, presentations, Test script preparation and teamwork. Experience with software development life cycle starting from business analysis, system study, Technical Design, Database design, Development, Unit testing, Integrated testing, Change Request Process, Production deployment, and maintenance. Familiarity with Scrum/Agile Development Processes and ability to work in a high-paced agile global Development environment. Capable of troubleshooting production issues, performing RCA, and providing permanent fixes. Knowledge of Kinaxis, Blue Yonder and other planning applications is an added advantage. A foundational understanding of AI, ML, LLMs, MCP, and AI Agents would certainly be beneficial. PREFERRED EXPERIENCE: 8 years' experience with AATP and planning modules. Extensive interaction with ABAP Development, including ALE/IDOC, BADI’s, BAPIs, BDC, ALV, SAP Forms, and FIORI using ABAP Workbench. Knowledge of MDG and debugging PI/PO data issues. Certified in SAP AATP Module. ACADEMIC CREDENTIALS: Bachelor’s degree in information systems, Computer Science, Engineering. #LI-SK4 AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

Software Engineer (Salesforce Marketing Cloud) – CL4 Role Overview : As a Salesforce Engineer – Marketing Cloud , you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users, while also driving tangible value for Deloitte's business investments. You will leverage your extensive engineering craftmanship across multiple programming languages and modern frameworks, consistently demonstrating your strong track record in delivering high-quality, outcome-focused solutions. The ideal candidate will be a dependable team player, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions. Key Responsibilities : Outcome-Driven Accountability: Embrace and drive a culture of accountability for customer and business outcomes. Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations. Technical Leadership and Advocacy: Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals. Lead requirement analysis, component design, development, unit testing, integrations, and support. Engineering Craftsmanship: Maintain accountability for the integrity of code design, implementation, quality, data, and ongoing maintenance and operations. Be hands-on, self-driven, and continuously learn new approaches, languages, and frameworks. Create technical specifications, and write high-quality, supportable, scalable code ensuring all quality KPIs are met or exceeded. Demonstrate collaborative skills to work effectively with diverse teams. Customer-Centric Engineering: Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time. Incremental and Iterative Delivery: Adopt a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions. Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional teams including product management, experience, and delivery. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation. Advanced Technical Proficiency: Possess deep expertise in modern software engineering practices and principles, including Agile methodologies and DevSecOps to deliver daily product deployments using full automation from code check-in to production with all quality checks through SDLC lifecycle. Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery. Demonstrate understanding of the full lifecycle product development, focusing on continuous improvement and learning. Domain Expertise: Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs, architectures, and UX/UI designs into technical specifications and code. Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff. Effective Communication and Influence: Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence teammates and product teams through well-structured arguments and trade-offs supported by evidence. Create coherent narratives that align technical solutions with business objectives. Engagement and Collaborative Co-Creation: Engage and collaborate with product engineering teams at all organizational levels, including customers as needed. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions. The team : US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte’s primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte’s success. It is the engine that drives Deloitte, serving many of the world’s largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. Key Qualifications : § A bachelor’s degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS/MTech) is preferred but not required. Experience is the most relevant factor. § Strong software engineering foundation with the understanding of OOPs, data-structure, algorithms, code instrumentations, beautiful coding practices, etc. § 3+ years proven experience with most of the following: Apex, Visualforce, Lightning Components, JavaScript, SOQL, Data Loader, Salesforce AppExchange. § 5+ years of hands-on experience with cloud-native engineering, leveraging Salesforce Platform-as-a-Service (PaaS) capabilities like Service Cloud/Sales Cloud. § 5+ years of hands-on experience with Marketing Cloud Email Studio, Journey Builder, Automation Studio, Content Builder, Audience Builder, AMPScript, SSJS, Data Management and integrating Marketing Cloud with other Salesforce Clouds like Service Cloud. § Strong understanding of methodologies and tools like XP, Lean, SAFe, DevSecOps, SRE, and Salesforce-specific CI/CD tools like Salesforce DX, GitHub, and SonarQube, etc. to deliver high-quality Salesforce solutions rapidly. § Strong preference will be given to candidates with experience in AI/ML and GenAI like Salesforce Einstein. § Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care. How You will Grow: At Deloitte, our professional development plans focus on helping people at every level of their career to identify and use their strengths to do their best work every day and excel in everything they do. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 302973

AWS DevSecOps Engineer – CL4 Role Overview : As a DevSecOps Engineer , you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users, while also driving tangible value for Deloitte's business investments. You will leverage your extensive DevSecOps engineering craftsmanship and advanced proficiency across multiple programming languages, DevSecOps tools, and modern frameworks, consistently demonstrating your strong track record in delivering high-quality, outcome-focused CI/CD and automation solutions. The ideal candidate will be a dependable team player, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions. Key Responsibilities : Outcome-Driven Accountability: Embrace and drive a culture of accountability for customer and business outcomes. Develop DevSecOps engineering solutions that solve complex automation problems with valuable outcomes, ensuring high-quality, lean, resilient and secure pipelines with low operating costs, meeting platform/technology KPIs. Technical Leadership and Advocacy: Serve as the technical advocate for DevSecOps modern practices, ensuring integrity, feasibility, and alignment with business and customer goals, NFRs, and applicable automation/integration/security practices—being responsible for designing and maintaining code repos, CI/CD pipelines, integrations (code quality, QE automation, security, etc.) and environments (sandboxes, dev, test, stage, production) through IaC, both for custom and package solutions, including identifying, assessing, and remediating vulnerabilities. Engineering Craftsmanship: Maintain accountability for the integrity and design of DevSecOps pipelines and environments while leading the implementation of deployment techniques like Blue-Green, Canary to minimize down-time and enable A/B testing. Be always hands-on and actively engage with engineers to ensure DevSecOps practices are understood and can be implemented throughout the product development life cycle. Resolve any technical issues from implementation to production operations (e.g., leading triage and troubleshooting production issues). Be self-driven to learn new technologies, experiment with engineers, and inspire the team to learn and drive application of those new technologies. Customer-Centric Engineering: Develop lean, and yet scalable and flexible, DevSecOps automations through rapid, inexpensive experimentation to solve customer needs, enabling version control, security, logging, feedback loops, continuous delivery, etc. Engage with customers and product teams to deliver the right automation, security, and deployment practices. Incremental and Iterative Delivery: Adopt a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions. Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional teams including product management, experience, engineering, delivery, infrastructure, and security. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Support a collaborative environment that enhances team synergy and innovation. Advanced Technical Proficiency: Possess intermediary knowledge in modern software engineering practices and principles, including Agile methodologies, DevSecOps, Continuous Integration/Continuous Deployment. Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery, ensuring high-quality outcomes with minimal waste. Demonstrate intermediate level understanding of the product development lifecycle, from conceptualization and design to implementation and scaling, with a focus on continuous improvement and learning. Domain Expertise: Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs into technical requirements and automations. Learn to navigate various enterprise functions such as product, experience, engineering, compliance, and security to drive product value and feasibility. Effective Communication and Influence: Exhibit exceptional communication skills, capable of articulating technical concepts clearly and compellingly. Support teammates and product teams through well-structured arguments and trade-offs supported by evidence, evaluations, and research. Learn to create a coherent narrative that align technical solutions with business objectives. Engagement and Collaborative Co-Creation: Able to engage and collaborate with product engineering teams, including customers as needed. Able to build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Support diverse perspectives and consensus to create feasible solutions. The team : US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes by leveraging a progressive and responsive talent structure. As Deloitte’s primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte’s success. It is the engine that drives Deloitte, serving many of the world’s largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. Key Qualifications : § A bachelor’s degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required. Experience is the most relevant factor. § Strong software engineering foundation with deep understanding of OOP/OOD, functional programming, data structures and algorithms, software design patterns, code instrumentations, etc. § 5+ years proven experience with Python, Bash, PowerShell, JavaScript, C#, and Golang (preferred). § 5+ years proven experience with CI/CD tools (Azure DevOps and GitHub Enterprise) and Git (version control, branching, merging, handling pull requests) to automate build, test, and deployment processes. § 5+ years of hands-on experience in security tools automation SAST/DAST (SonarQube, Fortify, Mend), monitoring/logging (Prometheus, Grafana, Dynatrace), and other cloud-native tools on AWS, Azure, and GCP. § 5+ years of hands-on experience in using Infrastructure as Code (IaC) technologies like Terraform, Puppet, Azure Resource Manager (ARM), AWS Cloud Formation, and Google Cloud Deployment Manager. § 2+ years of hands-on experience with cloud native services like Data Lakes, CDN, API Gateways, Managed PaaS, Security, etc. on multiple cloud providers like AWS, Azure and GCP is preferred. § Strong understanding of methodologies like, XP, Lean, SAFe to deliver high quality products rapidly. § General understanding of cloud providers security practices, database technologies and maintenance (e.g. RDS, DynamoDB, Redshift, Aurora, Azure SQL, Google Cloud SQL) § General knowledge of networking, firewalls, and load balancers. § Strong preference will be given to candidates with AI/ML and GenAI. § Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care. How You will Grow: At Deloitte, our professional development plans focus on helping people at every level of their career to identify and use their strengths to do their best work every day and excel in everything they do. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 302803

At Medtronic you can begin a life-long career of exploration and innovation, while helping champion healthcare access and equity for all. You’ll lead with purpose, breaking down barriers to innovation in a more connected, compassionate world. A Day in the Life As a Data Scientist, where you will develop and deploy machine learning models, conduct advanced analytics, and translate data-driven insights into business value. You will work closely with Finance, Engineering, and Business teams to drive data science initiatives and enhance decision-making. Data Scientist – Global Finance Analytics COE Careers that Change Lives Join our Global Finance Analytics Center of Excellence (COE) as a Data Scientist , where you will develop and deploy machine learning models, conduct advanced analytics, and translate data-driven insights into business value. You will work closely with Finance, Engineering, and Business teams to drive data science initiatives and enhance decision-making. This role requires an average of 2-3 days per week of overlapping work hours with the USA team to ensure seamless collaboration. A Day in the Life As a Data Scientist , you will: Develop and deploy AI/ML models for forecasting, anomaly detection, and optimization in financial and business analytics. Work with structured and unstructured data, ensuring data quality, feature engineering, and model interpretability. Collaborate with Data Engineers to build scalable data pipelines and integrate machine learning solutions into production systems. Perform exploratory data analysis (EDA) and statistical modeling to uncover insights and trends. Optimize algorithms for performance, scalability, and business relevance. Present complex findings in an understandable and actionable manner to senior stakeholders. Continuously explore new AI/ML methodologies and tools to enhance analytical capabilities. Must Have: Minimum Requirements Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field. 5+ years of experience in AI/ML, predictive modeling, and statistical analysis. Strong proficiency in Python, SQL, and cloud platforms (Azure, AWS, or GCP). Experience with machine learning frameworks such as TensorFlow, Scikit-Learn, PyTorch, or XGBoost. Exposure to financial data modeling and analytics. Strong problem-solving and critical-thinking skills. Nice to Have Experience working with Snowflake and large-scale data environments. Knowledge of NLP, deep learning, and AI-driven automation. Familiarity with Power BI for advanced data visualization. Physical Job Requirements The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position. Benefits & Compensation Medtronic offers a competitive Salary and flexible Benefits Package A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage. About Medtronic We lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions. Our Mission — to alleviate pain, restore health, and extend life — unites a global team of 95,000+ passionate people. We are engineers at heart— putting ambitious ideas to work to generate real solutions for real people. From the R&D lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves. We have the talent, diverse perspectives, and guts to engineer the extraordinary.

JOB DESCRIPTION Elevate your career as the Director of Machine Learning Engineering, where your technical expertise and visionary leadership will shape the future of AI and ML solutions. As a Director of Machine Learning Engineering at JPMorgan Chase within the Corporate Sector – Artificial Intelligence and Machine Learning (AIML) Data Platforms, you will lead a specialized technical area, driving impact across teams, technologies, and projects. In this role, you will leverage your deep knowledge of machine learning, software engineering, and product management to spearhead multiple complex ML projects and initiatives, serving as the primary decision-maker and a catalyst for innovation and solution delivery. You will be responsible for hiring, leading, and mentoring a team of Machine Learning and Software Engineers, focusing on best practices in ML engineering, with the goal of elevating team performance to produce high-quality, scalable ML solutions with operational excellence. You will engage deeply in technical aspects, reviewing code, mentoring engineers, troubleshooting production ML applications, and enabling new ideas through rapid prototyping. Your passion for parallel distributed computing, big data, cloud engineering, micro-services, automation, and operational excellence will be key. Job Responsibilities Lead and manage a team of machine learning engineers, ensuring the implementation, delivery, and support of high-quality ML solutions. Collaborate with product teams to deliver tailored, AI/ML-driven technology solutions. Architect and implement distributed AI/ML infrastructure, including inference, training, scheduling, orchestration, and storage. Develop advanced monitoring and management tools for high reliability and scalability in AI/ML systems. Optimize AI/ML system performance by identifying and resolving inefficiencies and bottlenecks. Drive the adoption and execution of AI/ML Platform tools across various teams. Integrate Generative AI and Classical AI within the ML Platform using state-of-the-art techniques. Lead the entire AI/ML product life cycle through planning, execution, and future development by continuously adapting, developing new AI/ML products and methodologies, managing risks, and achieving business targets like cost, features, reusability, and reliability to support growth. Manage, mentor, and develop a team of AI/ML professionals in a way that promotes a culture of excellence, continuous learning, and supports their professional goals. Required Qualifications, Capabilities, and Skills Formal training or certification in software engineering concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise 12+ years of experience in engineering management with a strong technical background in machine learning. Extensive hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, JAX, scikit-learn). Deep expertise in Cloud Engineering (AWS, Azure, GCP) and Distributed Micro-service architecture. Experienced with Kubernetes ecosystem, including EKS, Helm, and custom operators. Background in High Performance Computing, ML Hardware Acceleration (e.g., GPU, TPU, RDMA), or ML for Systems. Strategic thinker with the ability to craft and drive a technical vision for maximum business impact. Demonstrated leadership in working effectively with engineers, data scientists, and ML practitioners. Preferred Qualifications, Capabilities, and Skills Strong coding skills and experience in developing large-scale AI/ML systems. Proven track record in contributing to and optimizing open-source ML frameworks. Recognized thought leader within the field of machine learning. Understanding & experience of AI/ML Platforms, LLMs, GenAI, and AI Agents. ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. The Defender Experts (DEX) Research team is at the forefront of Microsoft’s threat protection strategy, combining world-class hunting expertise with AI-driven analytics to protect customers from advanced cyberattacks. Our mission is to move protection left—disrupting threats early, before damage occurs—by transforming raw signals into intelligence that powers detection, disruption, and customer trust. We’re looking for a passionate and curious Data Scientist to join this high-impact team. In this role, you'll partner with researchers, hunters, and detection engineers to explore attacker behavior, operationalize entity graphs, and develop statistical and ML-driven models that enhance DEX’s detection efficacy. Your work will directly feed into real-time protections used by thousands of enterprises and shape the future of Microsoft Security. This is an opportunity to work on problems that matter—with cutting-edge data, a highly collaborative team, and the scale of Microsoft behind you. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Understand complex cybersecurity and business problems, translate them into well-defined data science problems, and build scalable solutions. Design and build robust, large-scale graph structures to model security entities, behaviors, and relationships. Develop and deploy scalable, production-grade AI/ML systems and intelligent agents for real-time threat detection, classification, and response. Collaborate closely with Security Research teams to integrate domain knowledge into data science workflows and enrich model development. Drive end-to-end ML lifecycle: from data ingestion and feature engineering to model development, evaluation, and deployment. Work with large-scale graph data: create, query, and process it efficiently to extract insights and power models. Lead initiatives involving Graph ML, Generative AI, and agent-based systems, driving innovation across threat detection, risk propagation, and incident response. Collaborate closely with engineering and product teams to integrate solutions into production platforms. Mentor junior team members and contribute to strategic decisions around model architecture, evaluation, and deployment. Qualifications Bachelor’s or Master’s degree in Computer Science, Statistics, Applied Mathematics, Data Science, or a related quantitative field 6+ years of experience applying data science or machine learning in a real-world setting, preferably in security, fraud, risk, or anomaly detection Proficiency in Python and/or R, with hands-on experience in data manipulation (e.g., Pandas, NumPy), modeling (e.g., scikit-learn, XGBoost), and visualization (e.g., matplotlib, seaborn) Strong foundation in statistics, probability, and applied machine learning techniques Experience working with large-scale datasets, telemetry, or graph-structured data Ability to clearly communicate technical insights and influence cross-disciplinary teams Demonstrated ability to work independently, take ownership of problems, and drive solutions end-to-end Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Job Description: Manager - Operations (Night Shift) Job Summary: We are seeking a skilled and proactive Manager - Operations to lead and manage night shift operations for a team working on pre-processing tasks, including model validation, user acceptance testing (UAT), and other ad hoc tasks critical to AI workflows. The role involves managing 6-7 Team Leaders, ensuring operational excellence, and collaborating closely with the Cross-functional team to align with organizational and compliance standards. Key Responsibilities: Team Leadership: · Manage, guide and mentor 6-7 Team Leaders to ensure their teams deliver high-quality results in model validation, UAT, and ad hoc pre-processing tasks. · Conduct performance reviews for Team Leaders and ensure they effectively manage their respective teams. · Foster a collaborative and productive environment to achieve operational objectives. Operational Management: · Oversee the night shift pre-processing workflows, including model validation, UAT, and any adhoc requests. · Ensure tasks are allocated effectively, monitored for progress, and completed within established timelines. · Address and resolve operational challenges in real-time to maintain workflow continuity. · OKRs and Performance Monitoring: Need to track the progress towards OKRs and take corrective action to meet or exceed targets. Communicate OKR updates to senior management and provide actionable insights. · Monthly Model Performance Reporting: Prepare monthly model performance reports and share with senior management. · HC Utilization Reporting: Monitor and track headcount utilization, ensuring resources are optimally allocated to tasks. Analyze productivity data to identify overstaffing or understaffing issues and propose solutions. Provide detailed HC utilization reports to senior management monthly. Model Validation and UAT Oversight: · Ensure teams follow proper protocols for validating AI/ML models and conducting user acceptance testing. · Review and ensure the accuracy of validation and testing reports generated by the team. · Identify gaps or anomalies in the process and implement corrective measures. Stakeholder and Customer Management: · Act as the primary liaison with the Internal/External Customers during the night shift, providing timely updates and addressing related concerns. · Align operations with compliance standards and protocols to ensure data integrity and accuracy. · Escalate critical issues to relevant stakeholders promptly and provide resolution plans. Performance Monitoring and Reporting: · Track key performance indicators (KPIs) related to task completion, quality, and team productivity. · Prepare and deliver detailed shift performance reports to senior management and the internal Customer team. · Use insights from reports to implement continuous process improvements. Process Improvement: · Identify inefficiencies in workflows and suggest enhancements to improve speed, quality, and resource utilization. · Collaborate with other teams to implement best practices for pre-processing tasks related to model validation and UAT. Compliance and Quality Assurance: · Conduct regular audits of pre-processing tasks to ensure adherence to company standards and compliance requirements. · Maintain high-quality standards in all deliverables and ensure error-free outputs. Team Development: · Organize training sessions to enhance the team's skills in model validation, UAT, and pre-processing techniques. · Stay updated on advancements in AI/ML workflows and integrate relevant tools and knowledge into the team’s processes. Required Skills and Qualifications: · Bachelor’s degree in Computer Science, Data Science, Operations Management, or related fields. · 8+ years of experience in operations management, with at least 4 years of managing team leaders or supervisors. · Proven experience in managing Team Leaders and overseeing operational teams. · Strong analytical skills with a deep understanding of validation and testing workflows. · Excellent leadership, communication, and decision-making skills. · Proficiency in tools used for validation, UAT, and data processing (e.g., Python, SQL, or specialized tools). Preferred Qualifications: · Bachelor’s degree in Computer Science, Data Science, Operations Management, or related fields. · Proficiency in preparing OKRs, performance reports, and HC utilization reports. · Excellent leadership, communication, and decision-making abilities. · Familiarity with UAT frameworks and governance standards. · Knowledge of process improvement methodologies such as Lean or Six Sigma. · Experience in managing night shift operations. Shift Details: · Shift Timing: Night Shift (19:00 PM to 04:00 AM IST). · Flexibility to address urgent tasks or project escalations during off-hours. Show more Show less

Are you passionate about redefining how billions of users discover content across Windows? Do you thrive at the intersection of AI, platform extensibility, and user experience? Join us to lead the evolution of the Windows Search Platform. This is a high-impact role shaping the future of content discovery across Windows surfaces from Windows Search experiences embedded in the OS to Copilots and Agents to various first and third-party apps, the platform capabilities you deliver help users find files and content they care about within their workflows quickly and intuitively. You’ll drive innovation in AI integration, extensibility, and developer experiences, working closely with engineering, design, applied science, and partner teams to build a unified, intelligent, and extensible search platform. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Define and drive the vision for seamless, intelligent search experiences across native and third-party surfaces. Evaluate and integrate cutting-edge AI models (semantic, lexical, hybrid) to power search and discovery scenarios. Design extensible platform APIs for 1P and 3P developers to build custom search experiences. Partner with Shell, Copilot, and app teams to deliver cohesive and performant search experiences. Influence technical architecture and long-term platform strategy in collaboration with engineering and applied science. Drive strategic partnerships to align on shared goals, unlock new scenarios, and amplify impact. Define success metrics, track SLT-level KPIs, and lead initiatives that deliver measurable growth and customer impact. Champion Product-Led Growth (PLG) practices: hypothesis-driven development, experimentation frameworks, and data-informed decision-making. Use qualitative and quantitative insights to frame hypotheses, drive experiments, and iterate at speed. Represent the voice of the customer and developer to ensure the platform is intuitive, powerful, and future-ready. Qualifications Required Qualifications: Bachelor's Degree AND 8+ years experience in product/service/project/program management or software development OR equivalent experience. Experience influencing technical architecture and aligning cross-functional teams on complex systems. Proven success designing developer-facing APIs and extensibility models. Deep experience in cross-functional environments and influencing outcomes across diverse teams and senior stakeholders. Strong strategic thinking with the ability to translate vision into execution. Executive communication skills: connect product investments to customer needs and business outcomes. Passion for building not just great products, but also great team culture—collaboration, inclusion, and continuous improvement. Preferred Qualifications: Experience with semantic search, vector databases, or large language models. Experience working with AI/ML-powered experiences, platform services, or large-scale subscription businesses. Exceptional skills in influencing and aligning diverse stakeholders across engineering, design, marketing, research, and business disciplines. Ability to balance big-picture vision with day-to-day execution. #W+Djobs Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Company Description Monk Outsourcing is a digital marketing service provider company based in Delhi, India. We offer staffing solutions for US-based companies, software development, web development, content management solutions, and creative design services. Our team of experts works with modern technologies and tools to deliver web-based projects from concept to implementation. We are looking for a talented AI/ML Engineer to join our dynamic team and contribute to our exciting projects involving large language models (LLMs). *Job Overview:* As an AI/ML Engineer specializing in generative AI applications, you will be responsible for developing and optimizing the entire machine learning pipeline. This includes data preprocessing, model training, fine-tuning, and deployment. You will work closely with data scientists, software engineers, and product managers to create efficient and scalable LLM models that meet our enterprise clients' needs. *Key Responsibilities:* • Design, implement, and maintain end-to-end machine learning pipelines for generative AI applications. • Develop and fine-tune large language models (LLMs) to meet specific project requirements. • Implement efficient data preprocessing and augmentation techniques to enhance model performance. • Collaborate with cross-functional teams to define project requirements and deliver AI solutions that align with business objectives. • Conduct experiments to evaluate model performance, using metrics and validation techniques to ensure high-quality results. • Optimize model inference and deployment for scalability and efficiency in production environments. • Stay updated with the latest advancements in AI/ML research and incorporate relevant innovations into our projects. • Provide technical guidance and mentorship to junior team members. *Required Skills and Qualifications:* • Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. • 3-5 years of experience in machine learning, with a focus on generative AI and LLMs. • Proficiency in programming languages such as Python, and experience with ML frameworks like TensorFlow, PyTorch, or similar. • Strong understanding of NLP concepts, including text generation, prompting, and transformer-based architectures. • Experience in building and deploying machine learning models in production environments. • Knowledge of data preprocessing techniques, including text cleaning, tokenization, and augmentation. • Familiarity with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes) for scalable model deployment. • Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced environment. • Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. *Preferred Qualifications:* • Experience with fine-tuning pre-trained LLMs such as GPT, BERT, or similar. • Familiarity with MLOps practices and tools for continuous integration and deployment (CI/CD) of ML models. • Understanding of ethical considerations and bias mitigation in AI models. • Contributions to open-source projects or publications in AI/ML conferences/journals. Show more Show less

About MostEdge At MostEdge , we’re on a mission to accelerate commerce and build sustainable, trusted experiences . Our slogan — Protect Every Penny. Power Every Possibility. —reflects our commitment to operational excellence, data integrity, and real-time intelligence that help retailers run smarter, faster, and stronger. Our systems are mission-critical and designed for 99.99999% uptime , powering millions of transactions and inventory updates daily . We work at the intersection of AI, microservices, and retail commerce—and we win as a team. Role Overview We are looking for a Senior Database Administrator (DBA) to own the design, implementation, scaling, and performance of our data infrastructure. You will be responsible for mission-critical OLTP systems spanning MariaDB, MySQL, PostgreSQL, and MongoDB , deployed across AWS, GCP, and containerized Kubernetes clusters . This role plays a key part in ensuring data consistency, security, and speed across billions of rows and real-time operations. Scope & Accountability What You Will Own Manage and optimize multi-tenant, high-availability databases for real-time inventory, pricing, sales, and vendor data. Design and maintain scalable, partitioned database architectures across SQL and NoSQL systems. Monitor and tune query performance and ensure fast recovery, replication, and backup practices. Partner with developers, analysts, and DevOps teams on schema design, ETL pipelines, and microservices integration . Maintain security best practices, audit logging, encryption standards, and data retention compliance . What Success Looks Like 99.99999% uptime maintained across all environments. <100ms query response times for large-scale datasets. Zero unplanned data loss or corruption incidents. Developer teams experience zero bottlenecks from DB-related delays. Skills & Experience Must-Have 10+ years of experience managing OLTP systems at scale. Strong hands-on with MySQL, MariaDB, PostgreSQL, and MongoDB . Proven expertise in replication, clustering, indexing, and sharding . Experience with Kubernetes-based deployments , Kafka queues , and Dockerized apps . Familiarity with AWS S3 storage , GCP services, and hybrid cloud data replication. Experience in startup environments with fast-moving agile teams. Track record of creating clear documentation and managing tasks via JIRA . Nice-to-Have Experience with AI/ML data pipelines , vector databases, or embedding stores. Exposure to infrastructure as code (e.g., Terraform, Helm). Familiarity with LangChain, FastAPI , or modern LLM-driven architectures. How You Reflect Our Values Lead with Purpose : You enable smarter, faster systems that empower our retail customers. Build Trust : You create safe, accurate, and recoverable environments. Own the Outcome : You take responsibility for uptime, audits, and incident resolution. Win Together : You collaborate seamlessly across product, ops, and engineering. Keep It Simple : You design intuitive schemas, efficient queries, and clear alerts. Why Join MostEdge? Work on high-impact systems powering real-time retail intelligence . Collaborate with a passionate, values-driven team across AI, engineering, and operations. Build at scale—with autonomy, ownership, and cutting-edge tech. Job Types: Full-time, Permanent Pay: ₹727,996.91 - ₹2,032,140.73 per year Benefits: Health insurance Life insurance Paid sick time Paid time off Provident Fund Schedule: Evening shift Morning shift US shift Supplemental Pay: Performance bonus Yearly bonus Work Location: In person Expected Start Date: 31/07/2025

About MostEdge At MostEdge , our purpose is clear: Accelerate commerce and build sustainable, trusted experiences. With every byte of data, we strive to Protect Every Penny. Power Every Possibility. We empower retailers to make real-time, profitable decisions using cutting-edge AI , smart infrastructure, and operational excellence. Our platforms handle: hundreds of thousands of sales transactions/hour hundreds of vendor purchase invoices/hour few hundred product updates/day With systems built for 99.99999% uptime We are building an AI-native commerce engine , and language models are at the heart of this transformation. Role Overview We are looking for an AI/ML Expert with deep experience in training and deploying Large Language Models (LLMs) to power MostEdge's next-generation operations, cost intelligence, and customer analytics platform . You will be responsible for fine-tuning domain-specific models using internal structured and unstructured data (product catalogs, invoices, chats, documents), embedding real-time knowledge through RAG pipelines, and enabling AI-powered interfaces that drive search, reporting, insight generation, and operational recommendations. Scope & Accountability What You Will Own Fine-tune and deploy LLMs for product, vendor, and shopper-facing use cases. Design hybrid retrieval-augmented generation (RAG) pipelines with LangChain, FastAPI, and vector DBs (e.g., FAISS, Weaviate, Qdrant). Train models on internal datasets (sales, cost, product specs, invoices, support logs) using supervised fine-tuning and LoRA/QLoRA techniques. Orchestrate embedding pipelines, prompt tuning, and model evaluation across customer and field operations use cases. Deploy LLMs efficiently on RunPod, AWS, or GCP , optimizing for multi-GPU, low-latency inference . Collaborate with engineering and product teams to embed model outputs in dashboards, chat UIs, and retail systems. What Success Looks Like 90%+ accuracy on retrieval and reasoning tasks for product/vendor cost and invoice queries. <3s inference time across operational prompts, running on GPU-optimized containers. Full integration of LLMs with backend APIs, sales dashboards, and product portals. 75% reduction in manual effort across selected operational workflows. Skills & Experience Must-Have 5+ years in AI/ML , with 2+ years working on LLMs or transformer architectures . Proven experience training or fine-tuning Mistral, LLaMA, Falcon, or similar open-source LLMs . Strong command over LoRA, QLoRA, PEFT, RAG, embeddings, and quantized inference . Familiarity with LangChain, HuggingFace Transformers, FAISS/Qdrant , and FastAPI for LLM orchestration. Experience deploying models on RunPod, AWS, or GCP using Docker + Kubernetes. Proficient in Python , PyTorch , and data preprocessing (structured and unstructured). Experience with ETL pipelines , multi-modal data, and real-time data integration. Nice-to-Have Experience with retail, inventory, or customer analytics systems . Knowledge of semantic search, OCR post-processing, or auto-tagging pipelines . Exposure to multi-tenant environments and secure model isolation for enterprise use. How You Reflect Our Values Lead with Purpose : You empower smarter decisions with AI-first operations. Build Trust : You make model behavior explainable, dependable, and fair. Own the Outcome : You train and optimize end-to-end pipelines from data to insights. Win Together : You partner across engineering, ops, and customer success teams. Keep It Simple : You design intuitive models, prompts, and outputs that drive action—not confusion. Why Join MostEdge? Shape how AI transforms commerce and operations at scale . Be part of a mission-critical, high-velocity, AI-first company . Build LLMs with purpose—connecting frontline data to real-time results. Job Types: Full-time, Permanent Pay: ₹1,068,726.69 - ₹2,729,919.70 per year Benefits: Health insurance Life insurance Paid sick time Paid time off Provident Fund Schedule: Evening shift Morning shift US shift Supplemental Pay: Performance bonus Yearly bonus Work Location: In person Expected Start Date: 15/07/2025

About the job Athena Global Technologies, founded in 1992 is a global, high-growth, technically advanced software product and tech development firm located in the US and India. By harnessing an extensive toolbox of advanced technologies, AGT delivers high speed, high-quality and invested products to its clients around the world is seeking a Solutions Consultant (pre-sales Solution Engineer) to support sales. You will partner with our sales teams by applying your technical abilities and business acumen in support of acquisition of net new and growth of existing logos. What you’ll do to be successful as a Solution Engineer • Actively participate in the sales process and work closely with sales • Discover and understand customer requirements and align our solutions to those requirements • Present AGT business functions, value, and competitive differences • Assist in developing proposals, RFP responses and contribute to marketing asset builds as well as website content Requirements • Must-have attributes include exceptional communication skills, high EQ, expertise in discovering customer requirements, and the ability to articulate and demonstrate enterprise solutions aligned to business outcomes. • 5+ years of professional experience as a pre-sales technical resource in a system integrator, bespoke software company • 2+ years configuring, implementing, or managing software • Experience leading a small team is desirable • Excellent English written and verbal communication skills • A working knowledge of AI/ML, Data services, cloud, big-data, databases, virtualization, web services, full stack applications, low-code and more • Proficiency with and understanding of foundational and modern programmable languages such as Java, JavaScript, PowerShell, Python, and Go. APIs and many tools used in application development and solutions building • Hands-on experience working with hyper-scalers and cloud born applications • Full understanding of SDLC, Agile, Waterfall and Hybrid Agile approaches Location: India or preferably Hyderabad Education: BA/BS or global equivalent; 5 years of related experience

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose - the relentless pursuit of a world that works better for people - we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of Consultant - AI ML Developer In this role, we are seeking a skilled AI/ML Developer with Python expertise to design, develop, and deploy machine learning models using frameworks like TensorFlow, PyTorch, or scikit-learn. You will work on the entire ML lifecycle, from data preprocessing to deployment, optimizing algorithms for performance. Responsibilities Design and implement algorithms that enable the General AI system to acquire new knowledge efficiently and adapt to evolving tasks seamlessly. Develop mechanisms for the General AI to perform various tasks, such as natural language understanding, image recognition, and decision-making, ensuring a holistic and versatile skill set. Implement continual learning strategies that allow the General AI to adapt and improve its performance over time, learning from both labelled and unlabelled data. Collaborate with specialists from different domains to integrate domain-specific knowledge and ensure the General AI's applicability in diverse real-world scenarios. Incorporate ethical considerations into the design and development of the General AI, addressing issues related to bias, fairness, and transparency in AI decision-making processes. Optimize the General AI system for scalability, ensuring efficient performance across different hardware and deployment environments. Engage in interdisciplinary research, staying updated on advancements in AI, cognitive science, and related fields, and applying relevant findings to enhance the capabilities of General AI. Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress. Verifying data quality, and/or ensuring it via data cleaning Defining validation strategies & data augmentation pipelines Designing, developing, and researching Machine Learning systems, models, and schemes Good working knowledge on deep learning and advanced NLP techniques Analyzing the use cases of ML algorithms and ranking them by their success probability Should be excellent with Rasa Framework or any other chatbot interface. Performing statistical analysis and using results to improve models. Training and retraining ML systems and models in real-world situations Visualizing data for deeper insights Hands-On with Service / Incident Management tools: JIRA / ServiceNow Knowledge and experience with Software Version Control systems: GIT etc. Qualifications we seek in you! Minimum Qualifications / Skills B.Tech/B.E/ MCA Excellent written and verbal communication skills Preferred Qualifications/ Skills Create comprehensive documentation of algorithms, models, and methodologies, and actively contribute to knowledge transfer within the team to foster a collaborative and learning-oriented environment. Demonstrated expertise in artificial intelligence, machine learning, and deep learning. Strong programming skills, preferably in Python, and experience with popular AI frameworks (e.g., TensorFlow, PyTorch) Experience with reinforcement learning and transfer learning in the context of General AI. Knowledge of cognitive science principles and their application to AI development Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Get to know us at www.genpact.com and on X, Facebook, LinkedIn, and YouTube. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Job Consultant Primary Location India-Hyderabad Schedule Full-time Education Level Bachelor's / Graduation / Equivalent Job Posting Jun 16, 2025, 6:14:50 AM Unposting Date Ongoing Master Skills List Consulting Job Category Full Time

Back to Career Portal Senior Technical Manager - AI/ML Technical Manager 10 - 15 Years of experience Chennai Full-Time Must Have Skills Machine Learning, Deep Learning, NLP, AI, GenAI. Job Description We are seeking an experienced Senior Technical Manager specializing in AI, ML, to lead and deliver cutting edge solutions for our premium clients. The ideal candidate should have a strong technical background in AI/ML, hands-on experience in designing and deploying scalable models, and the ability to engage with business stakeholders to translate requirements into robust AI driven solutions. Overall IT work experience of 10-15 Years At least 6+ years’ of relevant experience as an SME in Design, Build, Test, and Deliver AI/ML client projects from prototype to delivery. Act as the Technical Subject Matter Expert in AI/ML in designing, developing, and deploying AI/ML models. Experience in cloud platforms (AWS/Azure/GCP) and familiarity using AI on Oracle platforms will be an added advantage. Analyze client technology landscapes, identify AI/ML opportunities, and propose tailored solutions. Ability to work both independently and collaboratively. Engage with business teams, and technical leaders to understand requirements and provide AI-driven solutions. Lead end to end AI/ML project execution, from ideation to deployment. Manage cross functional teams i.e., data scientists, data engineers, DevOps. Ensure adherence to best practices in MLOps, model governance, and ethical AI. Show more Show less

Minimum qualifications: Bachelor's degree or equivalent practical experience. 4 years of interaction design experience in product design or UX design. Include a portfolio, website, or any other relevant link to your work in your resume (providing a viewable link or access instructions). Preferred qualifications: Master's degree in Design, Human-Computer Interaction, Computer Science, a related field, or equivalent practical experience. 2 years of experience working in a cross-functional organization. 1 year of experience leading design projects. About the job At Google, we follow a simple but vital premise: "Focus on the user and all else will follow." Google’s Interaction Designers take complex tasks and make them intuitive and easy-to-use for billions of people around the globe. Throughout the design process—from creating user flows and wireframes to building user interface mockups and prototypes—you’ll envision how people will experience our products, and bring that vision to life in a way that feels inspired, refined, and even magical. Google User Experience (UX) is made up of multi-disciplinary teams of UX Designers, Researchers, Writers, Content Strategists, Program Managers, and Engineers: we care deeply about the people who use our products. The UX team plays an integral part in gathering insights about the attitudes, emotions, and behaviors of people who use our products to inspire and inform design. We collaborate closely with each other and with engineering and product management to create industry-leading products that deliver value for the people who use them, and for Google’s businesses. As an Interaction Designer, you’ll rely on user-centered design methods to craft industry-leading user experiences—from concept to execution. Like all of our UX jobs, you’ll collaborate with your design partners to leverage and evolve the Google design language to build beautiful, innovative, inspired products that people love to use. The gTech Ads Tools Automation and Infrastructure (TAI) team is a deeply technical product and engineering group at the forefront of innovation within gTech Ads. Our purpose is to develop enterprise-grade technical solutions, harnessing the power of artificial intelligence/machine learning (AI/ML) and other advanced technologies to create impactful automation. In gTech Users and Products (gUP), our mission is to advocate for Google’s users by creating helpful and trusted experiences across the product ecosystem. We achieve this by meeting partners and consumers where they are with support and help, representing their needs with our product partners and proposing fixes and features that elevate their engagement with Google's product ecosystem. Additionally we provide a range of product services that ensure our products are optimized for every user, no matter where they are in the world (e.g., localization, digitization, partner integration and more). Responsibilities Collaborate with product managers, engineers, and cross-functional stakeholders to understand requirements, and provide creative, thoughtful solutions. Communicate the user experience at various stages of the design process with wireframes, flow diagrams, storyboards, mockups, or high fidelity prototypes. Integrate user feedback and business requirements into ongoing product experience updates. Advocate for the prioritization of design centered changes, refinements, and improvements. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Job Description: We are seeking a Senior Software Engineer with expertise in AI/ML and Full stack development to drive the development of core platform features. This role is instrumental in architecting and optimizing high-performance AI-driven applications, building robust microservices, and ensuring seamless integration across AI, backend, and frontend systems. You will lead the development of workflow automation modules, AI-powered search engines, and scalable platforms. Qualification: Bachelor’s/master’s degree in computer science, AI, Machine Learning, or a related field. 5+ years of experience in AI/ML and full stack development. Expertise in building AI-powered applications, leveraging LLMs, NLP, and deep learning models. Strong programming skills in Python, Java, Node.js, TypeScript. Deep understanding of cloud-based AI solutions (AWS, GCP, Azure). Experience in microservices, REST/WebSockets, and real-time API development. Strong knowledge of DevOps, MLOps, Kubernetes, and CI/CD pipelines. Experience in vector databases, RAG-based search, and AI-powered data retrieval. Responsibilities: Develop & Optimize Core AI/ML Features: Architect and implement AI-powered automation modules, search systems, and data retrieval models. Deploy LLM-driven applications using LangChain, RAG, and embedding-based techniques. Enhance workflow automation using Haystack, LangGraph, and Vector DBs. Lead Fullstack Platform Development: Design and build scalable microservices and event-driven architectures. Implement high-performance backend systems in Python, Java, and Node.js. Develop AI-integrated dashboards and frontend applications using React.js, Angular, and TypeScript. AI Model Deployment & DevOps: Deploy and monitor AI models on Kubernetes, OpenShift, and cloud platforms. Implement CI/CD pipelines, containerization, and scalable deployment strategies. Technical Collaboration & Best Practices: Work closely with Tech Leads and AI engineers to ensure efficient and scalable implementations. Follow best practices in software engineering, AI model deployment, and full stack architecture. Note: *We are hiring for our AI platform team. These are onsite positions for our Chennai location. Please visit our website link KAYA Global Inc. to know more. * Show more Show less

ideyaLabs is seeking a talented and innovative Generative AI Engineers with experience in leveraging Low-Code/No-Code (LCNC) platforms. This unique role will be at the forefront of developing and deploying cutting-edge generative AI models while utilizing LCNC tools to accelerate prototyping, integration, and application development. The ideal candidate will possess a strong understanding of generative AI techniques, proficiency in programming, and a passion for exploring the synergy between AI and rapid application development. Responsibilities: Generative AI Model Development & Deployment: Design, develop, train, and evaluate generative AI models for various applications (e.g., text generation, image synthesis, code generation, synthetic data generation). Implement and optimize generative AI models using relevant frameworks (e.g., TensorFlow, PyTorch, Transformers). Deploy and scale generative AI models on cloud platforms (e.g., AWS, Azure, GCP) or on-premise infrastructure. Stay up-to-date with the latest advancements in generative AI research and techniques. Low-Code/No-Code Platform Utilization: Utilize LCNC platforms (e.g., Zoho Creator, Microsoft Power Apps, OutSystems, Mendix, Quixy) to rapidly prototype and build applications that integrate with generative AI models. Develop user interfaces and workflows using LCNC visual development tools. Connect generative AI APIs and services to LCNC applications. Build and deploy data connectors and integrations between various systems using LCNC capabilities. Integration & Application Development: Design and implement robust APIs and integration strategies to connect generative AI models with other systems and applications. Collaborate with software engineers and data scientists to build end-to-end AI-powered solutions. Develop and maintain documentation for AI models, LCNC applications, and integration processes. Experimentation & Innovation: Research and experiment with new generative AI models, LCNC platforms, and integration techniques. Evaluate the feasibility and potential of applying generative AI to solve specific business problems. Contribute to the development of best practices and guidelines for using generative AI and LCNC tools. Collaboration & Communication: Work closely with cross-functional teams, including product managers, designers, and business stakeholders. Communicate technical findings and progress effectively to both technical and non-technical audiences. Participate in code reviews and knowledge-sharing activities. Qualifications: Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience: 3 + years of experience in developing and deploying machine learning models, with a focus on generative AI. Proven experience working with at least one or more Low-Code/No-Code development platforms (e.g., Zoho Creator, Microsoft Power Apps, OutSystems, Mendix, Quixy). Experience in building and consuming APIs (RESTful, etc.). Technical Skills: Strong programming skills in Python and experience with relevant AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, Transformers). Solid understanding of deep learning concepts and architectures relevant to generative models (e.g., GANs, VAEs, Diffusion Models, Transformers). Experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services. Familiarity with data preprocessing, feature engineering, and model evaluation techniques. Understanding of database concepts and SQL. Proficiency in using visual development tools and integration capabilities of LCNC platforms. Soft Skills: Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Ability to learn quickly and adapt to new technologies. Proactive and self-motivated with a strong sense of ownership. Passion for innovation and exploring the potential of generative AI. Preferred Qualifications: Experience with specific generative AI applications relevant to our industry (e.g., content generation, synthetic data for [mention industry]). Familiarity with containerization technologies (e.g., Docker, Kubernetes). Experience with MLOps practices and tools. Certifications in relevant AI/ML or LCNC platforms.

Must-Have Skills & Traits Core Engineering Advanced Python skills with a strong grasp of clean, modular, and maintainable code practices Experience building production-ready backend services using frameworks like FastAPI, Flask, or Django Strong understanding of software architecture , including RESTful API design, modularity, testing, and versioning. Experience working with databases (SQL/NoSQL), caching layers, and background job queues. AI/ML & GenAI Expertise Hands-on experience with machine learning workflows: data preprocessing, model training, evaluation, and deployment Practical experience with LLMs and GenAI tools such as OpenAI APIs, Hugging Face, LangChain, or Transformers Understanding of how to integrate LLMs into applications through prompt engineering, retrieval-augmented generation (RAG), and vector search Comfortable working with unstructured data (text, images) in real-world product environments Bonus: experience with model fine-tuning, evaluation metrics, or vector databases like FAISS, Pinecone, or Weaviate Ownership & Execution Demonstrated ability to take full ownership of features or modules from architecture to delivery Able to work independently in ambiguous situations and drive solutions with minimal guidance Experience collaborating cross-functionally with designers, PMs, and other engineers to deliver user-focused solutions Strong debugging, systems thinking, and decision-making skills with an eye toward scalability and performance Nice-to-Have Skills Experience in startup or fast-paced product environments. 2-5 years of relevant experience. Familiarity with asynchronous programming patterns in Python. Exposure to event-driven architecture and tools such as Kafka, RabbitMQ, or AWS EventBridge Data science exposure: exploratory data analysis (EDA), statistical modeling, or experimentation Built or contributed to agentic systems, ML/AI pipelines, or intelligent automation tools Understanding of MLOps: model deployment, monitoring, drift detection, or retraining pipelines Frontend familiarity (React, Tailwind) for prototyping or contributing to full-stack features

Job Description Summary GE Vernova is a leader in the global energy transition from a carbon-based power grid to a renewables-based one. Our market is growing quickly and is primed for disruption through new technologies and business models. The electric power grid is the most sophisticated machine that humankind ever designed, and it is currently going through a massive transformation. Monitoring, automation, control, advanced algorithms, and modern software technologies are used to keep the lights on for consumers, big and small, around the globe. As a part of the GE Vernova, Grid Automation R&D team, you will help develop the sophisticated control and automation systems that drive modernization of the power grid to enable the energy transition. You'll have an opportunity to work with state-of-the-art technologies such as multi-core SoC processors, Yocto Linux, cloud native software, 5G, model-to-code tools and AI/ML to develop and refine your professional skills. You will collaborate in a modern lean-agile product development environment and interact with a global R&D team to develop world class products that can literally change the world. Be part of the Energy Transition! Highly motivated engineer to work as an Intern in the area of Energy Transition and contribute to solving the challenges the electric power grid will be subjected to in the areas of Protection, Control, Substation Automation and Monitoring. Strong individual ownership on the assigned tasks and appetite for innovation/advance development is expected out of this role Job Description E ssential Responsibilities: Interns will use their skills of programming, innovation and engineering and are encouraged to implement new ideas, develop tools and applications or improvise existing methods, tools , processes and features in the projects. The role requires the interns to get in contact with stakeholders, customers and colleagues in their day-to-day job which would require interpersonal, soft and presentation skills. Responsible to complete Assignments & Projects over the course of their project duration. It is an intern led, intern run project which can be seen as a self-contained project aimed at improving and refining aspects of their skill set. Qualifications: B.Tech, M.Tech/M.E Final year student from Computer Science /Power Systems /Instrumentation / Electronics/Communications and other related streams from reputed institutes (IIT/NIT/BITS/Other reputed institutes) Demonstrated academic excellence - consistent and strong academic credentials Passion for engineering with Strong technical aptitude and an analytic approach to problem Solving Strong programming skills in C, C++, Java, Python, any scripting languages on Windows & Linux Experience of Statistical techniques, artificial intelligence (AI) and machine learning (ML), including, unsupervised learning, supervised learning, and reinforcement learning, Deep learning, large language models (LLMs). Understanding of AI/ML frameworks/workflows. Understanding MLOps principles. Knowledge of databases – relational & non-relational Good mathematical, analytical and logical abilities and their application to effective problem solving Generation of multiple alternative solutions towards problem solving, evaluating the pros and cons and justifying the best solution to be adapted Strong root causing, trouble shooting and debugging skills In depth understanding of desktop, web and cloud based application development and deployment, Awareness of Microservices architecture and tools Hands on experience with hypervisors, Virtual Machines, Containers, Dockers and related tools Experience with secure application development and cybersecurity tools and life cycle Hands on with equipment and tools such as secondary injection relay test kits, protocol analyzers and simulators, MATLAB, LabVIEW … etc Quick Learner and can develop a micro and macro understanding of the scope of work through self learning and seeking out the right resources – virtual & people Clear & Concise verbal and written communication skills Ability & rigor to clearly document and explain design, architecture, logic Understanding of Power System concepts is an added advantage A team player who can interact with all required stakeholders with ease. Desired: Prior experience (via internships, projects, trainings, certifications .. etc) in relevant areas of power systems & programming Understanding of developing and implementing ML models, such as predictive maintenance, load forecasting, etc. in the power system domain. Understanding of ML frameworks such as Tensorflow, PyTorch, Keras etc. Understanding of Linux virtualized system deployment using VM, Hypervisor (EsXi, KVM, Xen etc.), Dockers and related tools. Volunteering experience on broader community activities / projects. Understanding of industrial automation tools such as PLC programming understanding of TCP/IP communication stack and related communication protocols Understanding of Industrial & Substation automation protocols such as Modbus, DNP3, IEC 60870, IEC 61850 .. etc Additional Information Relocation Assistance Provided: No

- Experience programming in Java, C++, Python or related language - Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse Customer addresses, Geospatial information and Road-network play a crucial role in Amazon Logistics' Delivery Planning systems. We own exciting science problems in the areas of Address Normalization, Geocode learning, Maps learning, Time estimations including route-time, delivery-time, transit-time predictions which are key inputs in delivery planning. As part of the Geospatial science team within Last Mile, you will partner closely with other scientists and engineers in a collegial environment to develop enterprise ML solutions with a clear path to business impact. The setting also gives you an opportunity to think about a complex large-scale problem for multiple years and building increasingly sophisticated solutions year over year. In the process there will be opportunity to innovate, explore SOTA and publish the research in internal and external ML conferences. Successful candidates will have deep knowledge of competing machine learning methods for large scale predictive modelling, natural language processing, semi-supervised & graph based learning. We also look for the experience to graduate prototype models to production and the communication skills to explain complex technical approaches to the stakeholders of varied technical expertise. Key job responsibilities As an Applied Scientist I, your responsibility will be to deliver on a well defined but complex business problem, explore SOTA technologies including GenAI and customize the large models as suitable for the application. Your job will be to work on a end-to-end business problem from design to experimentation and implementation. There is also an opportunity to work on open ended ML directions within the space and publish the work in prestigious ML conferences. About the team LMAI team owns WW charter for address and location learning solutions which are crucial for efficient Last Mile delivery planning, who also owns problems in the space of maps learning and travel time estimations. Experience implementing algorithms using both toolkits and self-developed code Have publications at top-tier peer-reviewed conferences or journals 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.

Location Gurugram, Haryana, India This job is associated with 2 categories Job Id GGN00001926 Information Technology Job Type Full-Time Posted Date 06/16/2025 Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network. Come join us to create what’s next. Let’s define tomorrow, together. Description United's Digital Technology team designs, develops, and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions. Find your future at United! We’re reinventing what our industry looks like, and what an airline can be – from the planes we fly to the people who fly them. When you join us, you’re joining a global team of 100,000+ connected by a shared passion with a wide spectrum of experience and skills to lead the way forward. Achieving our ambitions starts with supporting yours. Evolve your career and find your next opportunity. Get the care you need with industry-leading health plans and best-in-class programs to support your emotional, physical, and financial wellness. Expand your horizons with travel across the world’s biggest route network. Connect outside your team through employee-led Business Resource Groups. Create what’s next with us. Let’s define tomorrow together. Job overview and responsibilities United Airlines is seeking talented people to join the Data and Machine Learning Engineering team. The organization is responsible for leading data driven insights & innovation to support the Machine Learning needs for commercial and operational projects with a digital focus. This role will frequently collaborate with data scientists and data engineers. This role will design and implement key components of the Machine Learning Platform, business use cases, and establish processes and best practices. This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded. United Airlines is an equal opportunity employer. United Airlines recruits, employs, trains, compensates, and promotes regardless of race, religion, color, national origin, gender identity, sexual orientation, physical ability, age, veteran status, and other protected status as required by applicable law. Build high-performance, cloud-native machine learning infrastructure and services to enable rapid innovation across United. Set up containers and Serverless platform with cloud infrastructure. You will design and develop tools and apps to enable ML automation using AWS ecosystem. Build data pipelines to enable ML models for batch and real-time data. Hands on development expertise of Spark and Flink for both real time and batch applications. Support large scale model training and serving pipelines in distributed and scalable environment. Stay aligned with the latest developments in cloud-native and ML ops/engineering and to experiment with and learn new technologies – NumPy, data science packages like sci-kit, microservices architecture. Optimize, fine-tune generative AI/LLM models to improve performance and accuracy and deploy them. Evaluate the performance of LLM models, Implement LLMOps processes to manage the end-to-ed lifecycle of large language models. Qualifications Required Bachelor's degree in compute Science, Data Science, Generative AI, Engineering or related discipline or Mathematics experience required 6+ years of software engineering experience with languages such as Python, Go, Java, Scala, Kotlin, or C/C++. 5+ years of experience in machine learning, deep learning, and natural language processing. 3+ years of experience working in cloud environments (AWS preferred) - Kubernetes, Dockers, ECS and EKS. 2+ years of experience with Big Data technologies such as Spark, Flink and SQLprogramming. 3+ years of experience with cloud-native DevOps, CI/CD. 1+ years of experience with Generative AI/LLMs. Strong software engineering experience with Python and at least one additional language such as Go, Java, or C/C++ Familiarity with data science methodologies and frameworks (e.g., PyTorch, Tensorflow) and preferably building and deploying production ML pipelines Experience in ML model life cycle development experience and prefer experience to common algorithms Preferred Master's degree Computer Science or related STEM field

Location: Gurgaon (Work from office) BlackBeltHelp is a fast-growing EdTech company using innovative technology to remove barriers from Students, Faculty and Staffs journey. We are focused on using AI, ML, and other emerging technology to solve problems in a delightful way, without sensationalizing its abilities. We are currently seeking a Software Engineer 2 with the following skillsets to drive forward products built using technologies such as Google Dialogflow, Node, React, Elasticsearch, Redis cache, MongoDB, and similar products. Job Summary We are looking for a highly skilled Senior Software Engineer with strong expertise in the MERN stack and experience in fast search databases. The ideal candidate will have hands-on experience in working with emerging AI technologies, web app development, and database architecture. Key Responsibilities Develop and maintain scalable web applications using the MERN stack (Node.js, MongoDB, Express.js, React). Implement AI-driven solutions with a focus on LLMs, Vector search, and other emerging AI tools. Work with Vector DB and Mongo DB for fast search functionalities. Ensure efficient integration of databases and applications. Work with Redis and Elasticsearch or similar technologies for performance optimization. Rest/GraphQL API Integration Manage version control using GitHub, GitLab, or other systems. Support and maintain deployed web-based products. Update technical documentation for design and coding standards. Stay current on technology trends and relevant open-source projects. Required Skills & Qualifications Hands on Experience with front-end frameworks such as React, Angular, and Material UI. In depth knowledge of AI and GenAI. Hands on experience with Docker or Kubernetes, AWS, CI/CD Pipeline. Experience with Vector DB (OpenSearch or similar) or MongoDB. Strong knowledge of SQL and database architecture. Proficiency in Redis and Elasticsearch similar tools. Experience with web applications and integrations. Knowledge of GitHub, GitLab, or other version control systems. Additional Skills Understanding of authentication protocols (SAML, OAuth). Experience 4-6 years experience in NodeJS and Mongo At least 2-3 years experience in AWS, Docker, CI/CD Pipeline

Position Overview We are seeking a motivated and articulate Sales Executive to join our dynamic team. This role is ideal for fresh graduates or early-career professionals looking to break into the high-growth IT industry. You will play a critical role in promoting our next-gen technology products and building strong client relationships within the Telecom and Energy domains. Key Responsibilities Support the sales team in identifying potential customers and business opportunities in the Telecom and Energy sectors. Assist in crafting and delivering persuasive presentations and product demos for AI, ML, and Blockchain-based solutions. Communicate product features, value propositions, and differentiators effectively to clients and stakeholders. Build and maintain strong client relationships to ensure long-term business engagement. Participate in industry events, tech expos, and conferences as a company representative. Coordinate with technical teams to understand product updates and relay client feedback. Maintain accurate documentation of sales activities, client interactions, and lead status. Candidate Requirements Bachelor’s degree in any discipline (Technical or Business background preferred but not mandatory). 0–1 year of experience in sales, business development, or customer-facing roles (internships included). Excellent verbal and written communication skills. Strong interpersonal skills, confident and presentable demeanor. Ability to create and deliver impactful presentations using tools like PowerPoint, Google Slides, etc. Willingness to learn about complex technologies like AI/ML and Blockchain on the job. Comfortable with travel and participation in client meetings, demos, and industry events as needed. Preferred Attributes Interest or basic understanding of emerging technologies such as AI, Machine Learning, and Blockchain. Self-motivated, proactive, and eager to take initiative. Detail-oriented with good organizational skills. Tech-savvy with a strong learning curve. What We Offer A dynamic, tech-driven, and learning-focused work environment. Direct exposure to the latest innovations in Telecom and Energy IT solutions. Career growth opportunities in a future-ready organization. Training and mentorship to upskill in product knowledge and sales excellence. Competitive salary and performance-based incentives. Ready to join a future-focused IT company and grow your career in tech sales? Apply now and be part of our journey toward shaping tomorrow’s digital world. Job Type: Full-time Pay: ₹15,000.00 - ₹25,000.00 per month Schedule: Day shift Ability to commute/relocate: Gurugram, Haryana: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): Are you okay in working on alternate Saturdays? Language: English (Required) Work Location: In person Speak with the employer +91 9654452136