24886 Ml Jobs - Page 32

Job Description Job Title: Data Science Candidate Specification: 6+ years, Notice � Immediate to 15 days, Hybrid model. Job Description 5+ years of hands-on experience as an AI Engineer, Machine Learning Engineer, or a similar role focused on building and deploying AI/ML solutions. Strong proficiency in Python and its relevant ML/data science libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch). Extensive experience with at least one major deep learning framework such as TensorFlow, PyTorch, or Keras. Solid understanding of machine learning principles, algorithms (e.g., regression, classification, clustering, ensemble methods), and statistical modeling. Experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services (e.g., SageMaker, Azure ML, Vertex AI). Skills Required RoleData Science ( AI ML ) Industry TypeIT Services & Consulting Functional AreaIT-Software Required Education Bachelor Degree Employment TypeFull Time, Permanent Key Skills DATA SCIENCE AI ENGINEER MACHINE LEARNING DATA SCIENCE AI ML PYTHON AWS Other Information Job CodeGO/JC/686/2025 Recruiter NameSheena Rakesh

Lead Sofware Engineer - Simulations(with ML Background) - Global Data Analytics, Technology (Maersk) This position will be based in India – Bangalore/Pune A.P. Moller - Maersk A.P. Moller – Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers’ supply chains. Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too. The Brief We are seeking a Lead Software Engineer with deep experience in simulation systems and a solid foundation in machine learning to lead the architecture and development of our next-generation simulation and digital twin platforms. This role blends technical leadership with hands-on engineering, guiding the design of simulation systems that model real-world environments and power intelligent, ML-driven decision-making. You’ll be responsible for leading simulation efforts that generate actionable insights, synthetic data, and predictive capabilities — while also influencing how ML models are built, trained, and deployed within these environments. What I'll be doing – your accountabilities/responsibilities? Architect and lead simulation platforms that model complex systems across time, agents, and interactions. Bridge simulation systems with ML workflows: data generation, model training/testing, reinforcement learning, etc. Define system architecture, technology choices, and software patterns for scalable, high-performance simulation and ML integration. Collaborate with ML engineers, data scientists, and domain experts to enable closed-loop simulations for forecasting, optimization, and control. Lead cross-functional engineering efforts across simulation, data, and ML infrastructure teams. Mentor engineers across disciplines, setting technical standards and fostering a high-performance culture. Own end-to-end delivery of simulation-enabled intelligent systems — from ideation to production. Develop and optimize algorithms for discrete-event simulation, agent-based modeling. Support scenario testing, what-if analysis, and optimization workflows using simulation outputs. Ensure models are modular, extensible, and easily integrated with external services/platforms (e.g., dashboards, analytics, AI agents). Foundational /Must Have Skills Bachelor’s or Master’s in Computer Science, Engineering, or a related technical field. 12+ years of software engineering experience, with 3+ years leading teams or major initiatives. Demonstrated experience in simulation platforms (e.g., SimPy, Mesa, CARLA, Unity, AnyLogic, or custom-built engines). Strong programming skills in Python (required); additional languages like C++, Rust, or Julia are a plus. Deep understanding of ML principles — model pipelines, data engineering, evaluation, and deployment. Experience working with synthetic data, simulators for ML training/testing, or RL environments (e.g., OpenAI Gym, Isaac Sim, Unity ML-Agents). Solid grasp of software architecture, distributed systems, and CI/CD pipelines. Preferred To Have Experience with reinforcement learning, decision-making under uncertainty, or control systems. Familiarity with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn) and MLOps tools (e.g. MLflow, Weights & Biases). Background in simulation-heavy domains such as robotics, logistics, autonomous systems. Familiarity with cloud infrastructure (AWS, GCP, Azure) and container orchestration (Docker, Kubernetes). Strong communication and cross-functional leadership skills — able to align engineers, ML teams, and product stakeholders. As a performance-oriented company, we strive to always recruit the best person for the job – regardless of gender, age, nationality, sexual orientation or religious beliefs. We are proud of our diversity and see it as a genuine source of strength for building high-performing teams. Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.

Senior Software Engineer – Back end and Inferencing– Technology (Maersk) This position will be based in India – Bangalore/Pune A.P. Moller - Maersk A.P. Moller – Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers’ supply chains. Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too. The Brief We are seeking a Senior Software Engineer with deep backend expertise to lead the development of scalable infrastructure for LLM inferencing, Model Context Protocol (MCP) integration, Agent-to-Agent (A2A) communication, prompt engineering, and robust API platforms. This role sits at the core of our AI systems stack — enabling structured, contextual, and intelligent communication between models, agents, and services. You'll design modular backend services that interface seamlessly with inferencing engines, orchestrate model contexts, and expose capabilities via APIs for downstream products and agents. What I'll be doing – your accountabilities? Architect and implement backend services that support dynamic model context management via MCP for LLM-based systems. Build scalable and token-efficient inference pipelines with support for streaming, context merging, memory, and retrieval. Enable Agent-to-Agent (A2A) messaging and task coordination through contextual protocols, message contracts, and execution chains. Design and maintain developer-friendly, secure, and versioned APIs for agents, tools, memory, context providers, and prompt libraries. Lead efforts in prompt engineering workflows including templating, contextual overrides, and programmatic prompt generation. Collaborate across engineering, ML, and product teams to define and implement context-aware agent systems and inter-agent communication standards to enable closed-loop enterprise AI Services ready for consumption by the enterprise. Own end-to-end delivery of infrastructure, inferencing, back-end, API and communication management in multi-agent system. Ensure models are modular, extensible, and easily integrated with external services/platforms (e.g., dashboards, analytics, AI agents). Foundational / Must Have Skills Bachelor’s, Master’s or Phd in Computer Science, Engineering, or related technical field. 8+ years of experience in backend systems design and development — ideally in AI/ML or data infrastructure domains. Strong proficiency in Python (FastAPI preferred); additional experience with Node.js, Go, or Rust is a plus. Experience with LLM inferencing pipelines, context windowing, and chaining prompts with memory/state persistence. Familiarity with or active experience implementing Model Context Protocol (MCP) or similar abstraction layers for context-driven model orchestration. Strong understanding of REST/GraphQL API design, OAuth2/JWT-based auth, and event-driven backend architectures. Practical knowledge of Redis, PostgreSQL, and one or more vector databases (e.g., Weaviate, Qdrant). Comfortable working with containerized applications, CI/CD pipelines, and cloud-native deployments (AWS/GCP/Azure). Preferred To Have Experience building or contributing to agent frameworks (e.g., LangGraph, CrewAI, AutoGen, Agno etc.). Background in multi-agent systems, dialogue orchestration, or synthetic workflows. Familiarity with OpenAI, Anthropic, HuggingFace, or open-weight model APIs and tool-calling protocols. Strong grasp of software security, observability (OpenTelemetry, Prometheus), and system performance optimization. Experience designing abstraction layers for LLM orchestration across different provider APIs (OpenAI, Claude, local inference). What You Can Expect Opportunity to lead backend architecture for cutting-edge, LLM-native systems. High-impact role in shaping the future of context-aware AI agent communication. Autonomy to drive backend standards, protocols, and platform capabilities across the org. Collaborative, remote-friendly culture with deep technical peers. As a performance-oriented company, we strive to always recruit the best person for the job – regardless of gender, age, nationality, sexual orientation or religious beliefs. We are proud of our diversity and see it as a genuine source of strength for building high-performing teams. Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.

A.P. Moller - Maersk A.P. Moller – Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers’ supply chains. Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too. We are responsible for moving 20 % of global trade & is on a mission to become the Global Integrator of Container Logistics. To achieve this, we are transforming into an industrial digital giant by combining our assets across air, land, ocean, and ports with our growing portfolio of digital assets to connect and simplify our customer’s supply chain through global end-to-end solutions, all the while rethinking the way we engage with customers and partners. Key Responsibilities: Partner with business, product, and engineering teams to define problem statements, evaluate feasibility, and design AI/ML-driven solutions that deliver measurable business value. Lead and execute end-to-end AI/ML projects — from data exploration and model development to validation, deployment, and monitoring in production. Drive solution architecture using techniques in data engineering, programming, machine learning, NLP, and Generative AI. Champion the scalability, reproducibility, and sustainability of AI solutions by establishing best practices in model development, CI/CD, and performance tracking. Guide junior and associate AI/ML engineers through technical mentoring, code reviews, and solution reviews. Identify and evangelize the adoption of emerging tools, technologies, and methodologies across teams. Translate technical outputs into actionable insights for business stakeholders through storytelling, data visualizations, and stakeholder engagement. We are looking for: A seasoned AI/ML engineer with 7+ years of hands-on experience delivering enterprise-grade AI/ML solutions. Advanced proficiency in Python, SQL, PySpark, and experience working with cloud platforms (Azure preferred) and tools such as Databricks, Synapse, ADF, and Web Apps. Strong expertise in applied text analytics, NLP, and Generative AI, with real-world deployment exposure. Solid understanding of model evaluation, optimization, bias mitigation, and monitoring in production. A problem solver with scientific rigor, strong business acumen, and the ability to bridge the gap between data and decisions. Prior experience in leading cross-functional AI initiatives or collaborating with engineering teams to deploy ML pipelines. Bachelor's or master’s degree in computer science, Engineering, Statistics, or a related quantitative field. A PhD is a plus. Prior understanding in business domain of shipping and logistics is an advantage. Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.

Lead AIML Engineer– Global Data Analytics, Technology (Maersk) This position will be based in India – Bangalore/Pune A.P. Moller - Maersk A.P. Moller – Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers’ supply chains. Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too. We are responsible for moving 20 % of global trade & is on a mission to become the Global Integrator of Container Logistics. To achieve this, we are transforming into an industrial digital giant by combining our assets across air, land, ocean, and ports with our growing portfolio of digital assets to connect and simplify our customer’s supply chain through global end-to-end solutions, all the while rethinking the way we engage with customers and partners. The Brief In this role as a Lead AIML Engineer on the Global Data and Analytics (GDA) team, you will support the development of strategic, visibility-driven recommendation systems that serve both internal stakeholders and external customers. This initiative aims to deliver actionable insights that enhance supply chain execution, support strategic decision-making, and enable innovative service offerings. Data AI/ML (Artificial Intelligence and Machine Learning) Engineering involves the use of algorithms and statistical models to enable systems to analyse data, learn patterns, and make data-driven predictions or decisions without explicit human programming. AI/ML applications leverage vast amounts of data to identify insights, automate processes, and solve complex problems across a wide range of fields, including healthcare, finance, e-commerce, and more. AI/ML processes transform raw data into actionable intelligence, enabling automation, predictive analytics, and intelligent solutions. Data AI/ML combines advanced statistical modelling, computational power, and data engineering to build intelligent systems that can learn, adapt, and automate decisions. What I'll be doing – your accountabilities? Lead end-to-end AI/ML projects, from problem definition, feature selection, development, implementation of models, monitoring, retraining, infrastructure and communication of results Provide technical leadership on complex AI/ML projects, developing end-to-end machine learning pipelines, robust data models and driving innovation in engineering practices Address advanced AI/ML challenges, evaluate and optimize existing data pipelines and frameworks for efficiency and cost-effectiveness using cutting-edge techniques Architect and oversee scalable, production-ready data models and pipelines, solve complex issues and lead work on optimization and performance of models, ensuring alignment with business needs Collaborate with stakeholders and cross-functional teams and communicate insights to influence data strategy, product roadmaps, and scalable solutions through expertise in AI/ML techniques, tools, architectures, and business applications, delivering measurable positive impact Design and advocate for resilient, secure, scalable, and sustainable data / AI/ML architectures while creating modernization plans for long-term innovation and maintainability Evaluate and improve tools, methodologies, and assess industry practices to drive quality and innovation across AI/ML engineering initiatives Mentor AI/ML engineers and other talent, promoting diversity, inclusion, and leadership development across all levels Build relationships with stakeholders, champion best practices, and lead initiatives to deliver robust, scalable, future-proof data engineering solutions, while championing quality, modernization, and best practices across the organization Work across organizational boundaries to resolve challenges, influence shared roadmaps spanning multiple teams, ensuring scalable solutions prioritizing organizational objectives vs team or individual specific ones, while aligning with evolving data engineering requirements Foundational Skills Have specialized in Machine Learning Pipelines, can easily demonstrate in complex scenarios and mentors/coaches others Have mastered the concepts and can demonstrate below skills in complex scenarios Programming AI & Machine Learning Data Analysis Model Deployment Specialized Skills To be able to understand beyond the fundamentals and can demonstrate in most situations without guidance for the following skills: Deep Learning Statistical Analysis Data Engineering Big Data Technologies Natural Language Processing (NLP) Data Architecture Data Processing Frameworks Technical Documentation Technical leadership experience in Data integration and AI Agentic solutions including Connecting AI agents to various custom data sources (e.g., Databases, APIs, internal document stores). Implementing Retrieval Augmented Generation (RAG) patterns. Working with Vector Stores (e.g., Pinecone, Weaviate, ChromaDB, FAISS, etc.) and Knowledge Graphs Implementing agent memory storage and reasoning solutions, and using various Multi-Agent Frameworks (e.g., AutoGen, CrewAI, or similar). Qualifications & Requirements BSc/MSc/PhD in computer science, data science or related discipline with 13+ years of industry experience building cloud-based ML solutions for production at scale, including solution architecture and design experience 6+ years of hands-on experience building ML solutions in Python, incl knowledge of common python data science libraries (e.g. scikit-learn, PyTorch, etc) Strong understanding and implementation experience of AI Agent solutions Hands-on experience building end-to-end data products based on recommendation technologies Experience with collaborative development workflow: version control (we use github), code reviews, DevOps (incl automated testing), CI/CD Communication and leadership experience, with experience initiating, driving and delivering projects Team player, eager to collaborate Preferred Experiences In addition to basic qualifications, would be great if you have… Experience as tech lead or engineering manager (still hands-on) Experience with common dashboarding technology (we use PowerBI for now) or web-based frontend such as Dash, Streamlit, etc. Experience working in cross-functional product engineering teams following agile development methodologies (scrum/Kanban/…) Experience with Spark and distributed computing Strong hands-on experience with MLOps solutions, including open source solutions. Experience with cloud-based orchestration technologies, e.g. Airflow, KubeFlow, etc Experience with containerization: Kubernetes & Docker Experience with front-end frameworks such as React or Angular. Knowledge of data visualization using D3.js or Chart.js. As a performance-oriented company, we strive to always recruit the best person for the job – regardless of gender, age, nationality, sexual orientation or religious beliefs. We are proud of our diversity and see it as a genuine source of strength for building high-performing team Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.

Job Descriptions 1. Job Title: Full-Stack AI Engineering Lead Experience: 4-6 Years Location: Pune The Role: As a Full-Stack AI Engineering Lead, you will be responsible for the end-to-end design, development, and deployment of sophisticated AI-powered applications. You will work closely with AI specialists, product managers, and other developers to translate complex requirements into robust, scalable, and user-friendly solutions. This role requires a strong foundation in full-stack development, a deep understanding of AI/ML concepts (particularly LLMs and GenAI), expertise in modern deployment practices, and a proactive approach to problem-solving and technical leadership within an Agile environment. Key Responsibilities: Design, develop, test, and deploy high-quality, scalable full-stack applications integrating AI/ML models, following Agile methodologies. Collaborate on the architecture and design of our AI applications, ensuring they meet performance, security, and scalability requirements. Work extensively with Large Language Models (LLMs), Generative AI techniques, and traditional Machine Learning models, integrating them into our product offerings. Develop and maintain backend services and APIs (Python/Java preferred) and robust middleware solutions. Build responsive and intuitive front-end interfaces. Manage and optimize databases (SQL and NoSQL) to support application needs. Leverage Docker and Containerization (e.g., Kubernetes) for packaging, deploying, and scaling applications. Deploy and manage applications on cloud platforms, with demonstrated experience in Azure or AWS . Stay abreast of futuristic developments in AI, full-stack technologies, and software engineering best practices, and champion their adoption where appropriate. Lead and mentor junior developers, fostering a culture of technical excellence and continuous learning. Utilize JIRA for task management and Confluence for documentation. Contribute to project planning, estimation, and execution, demonstrating strong project management skills to ensure timely delivery. Champion the use and contribute to the evolution of our internal Purple Fabric AI platform. Must-Have Skills & Experience: 4-6 years of professional experience in full-stack software development. Proven experience in developing and deploying applications leveraging AI, LLMs, Generative AI, and Machine Learning . Strong proficiency in full-stack development, with expertise in both front-end (e.g., React, Angular, Vue.js) and back-end technologies. Expertise in Python or Java for backend development. Solid experience with database technologies (e.g., PostgreSQL, MySQL, MongoDB) including schema design and optimization. Experience developing and consuming middleware services and APIs. Proficiency with JIRA for agile development and Confluence for technical documentation. Demonstrable project management skills , including planning, execution, and risk management. Hands-on experience with Docker and Containerization technologies (e.g., Kubernetes). Proven experience with deploying and managing applications on cloud platforms, specifically Azure or AWS . Demonstrated experience working in an Agile development environment. Excellent problem-solving, analytical, and communication skills. Ability to quickly learn and adapt to new technologies and platforms, including our in-house Purple Fabric AI platform. A proactive mindset, with a passion for innovation and staying ahead of futuristic developments in AI and software. Nice-to-Haves: Experience with specific Azure or AWS services relevant to AI/ML and application hosting. Knowledge of advanced Kubernetes concepts and management. Contributions to open-source projects or a strong portfolio of personal projects. 2. Job Title: Full-Stack AI Engineer Experience: 2-3 Years Location: Pune The Role: As a Full-Stack AI Engineer, you will be involved in the entire software development lifecycle, from concept and design to development, testing, and deployment of AI-driven applications using Agile practices. You will collaborate with senior developers and AI specialists to build features, integrate AI models, and ensure our applications are robust and user-friendly. This is an excellent opportunity for a developer passionate about both full-stack engineering, modern deployment techniques, and the cutting edge of AI. Key Responsibilities: Develop, test, and maintain full-stack applications, with a focus on integrating AI/ML functionalities, working within an Agile framework. Work with AI technologies including LLMs, Generative AI, and Machine Learning models under the guidance of senior team members. Contribute to the development of backend services and APIs using Python or Java . Assist in building and refining front-end components for our applications. Support database management and middleware integration tasks. Utilize Docker for Containerization of applications and assist in deployment processes. Gain hands-on experience with cloud services on Azure or AWS for application deployment and management. Actively learn about and apply futuristic developments in AI and software engineering. Utilize JIRA for tracking development tasks and Confluence for accessing and contributing to documentation. Participate in project planning and execution, developing project management skills and contributing to team goals. Get hands-on experience with our internal Purple Fabric AI platform and contribute to its application. Must-Have Skills & Experience: 2-3 years of experience in full-stack software development. Solid understanding and hands-on experience with AI concepts, including LLMs, Generative AI, and Machine Learning . Proficiency in full-stack development, including front-end and back-end technologies. Strong programming skills in Python or Java . Experience with database technologies (SQL or NoSQL). Familiarity with middleware concepts and API development/consumption. Working knowledge of JIRA and Confluence . Experience working with Docker and an understanding of Containerization principles. Familiarity with cloud platforms, specifically Azure or AWS , and basic deployment concepts. Experience or strong understanding of Agile development methodologies. Developing project management skills with an ability to manage tasks and contribute to project timelines. A strong desire to learn and keep up-to-date with futuristic developments in the AI field. Eagerness to learn and work with the Purple Fabric AI platform. Good communication and teamwork skills. Nice-to-Haves: Experience with a modern front-end framework (e.g., React, Angular, Vue.js). Experience with CI/CD tools. Exposure to Kubernetes.

Description We are seeking a highly skilled Performance Testing Engineer with strong expertise in Apache JMeter to join our QA team. The ideal candidate will be responsible not only for designing and executing performance tests but also for gathering performance requirements from stakeholders to ensure systems meet expected load, responsiveness, and scalability criteria. Requirements 4-6 years’ experience in software performance testing and engineering Are you ready to work on world changing technologies? Today, organizations need to move with increased agility and insight to grow and thrive. Boomi is one of the hottest tech companies in the SaaS/Cloud industry, named a Leader for the eighth year in a row in the Gartner Enterprise iPaaS Magic Quadrant and recently recognized by Inc. Magazine as one of the best workplaces. Our award-winning, patented technology is transforming the world of integration by making enterprise-class integration technology accessible and affordable to companies of all sizes. Boomi provides the foundation on which your business can evolve and innovate. According to a recent survey by Vanson Bourne, connected businesses are far outpacing their competitors. We help organizations connect everything and engage everywhere across any channel, device or platform. More than 7,000 organizations are using Boomi to run better, faster and smarter. Working at Boomi means doing what you love. We hire trailblazers with an entrepreneurial spirit who can solve challenging problems, make a real impact in technology and want to build something big. If you are passionate about solving hard problems, enjoy working with world-class people and developing cutting edge technology, you should explore a career with Boomi. Learn more at http://www.boomi.com/ or visit Boomi Careers. Join us as a Performance Engineer on our Performance, Scalability and Resiliency(PSR) Engineering team in Bangalore/Hyderabad, India to do the best work of your career and make a profound social impact. What you’ll achieve As a Performance Engineer, you will be responsible for validating and recommending performance optimizations in Boomi’s computing infrastructure and software. You will work with our Product Development and Site Reliability Engineering teams on Performance monitoring, tuning and tooling. You will: Analyze Software Architecture (monolith and micro-service) and identify potential areas of performance, scalability and resiliency improvements Work closely with architects in capacity planning, validation and benchmarking for any new microservices being implemented. Identify KPIs, perform trending and analysis, identify patterns and engineer remedial solutions for a high performant, fault tolerant and resilient platform and application stack. Design, automate and perform scalability and resiliency tests using various tools like blazemeter, Neoload, JMeter, Chaos Monkey/Gremlin Use observability stack to improve diagnosability and trending around Performance bottlenecks. Identify performance tuning opportunities and recommend remedial solutions Take the first step towards your dream career Every Boomer brings something unique to the table. Here’s what we are looking for with this role: Job responsibilities Essential Requirements Expert in performance engineering fundamentals – arrival rate, workload models, responsiveness, computing resource utilization, time complexity, scalability, resiliency etc.. Expert in monitoring the performance using native Linux OS, Application Performance Management(APM) and Infrastructure monitoring tools Expertise in understanding all AWS services to analyze infrastructure bottlenecks Well versed with using NewRelic for APM and infrastructure monitoring Good hands on experience with Splunk to query the application logs and create dashboards for deeper troubleshooting Experience in analyzing heap dump, thread dump, SQL slow query log and identify performance bottlenecks Expert in recommending optimal resource configurations in Cloud, Virtual Machine, Container and Container Orchestration technologies Flexibility to work in a remote and geographically distributed team environment Desirable Requirements Experience in writing data extraction and custom monitoring tools using any programming language – Java, Python, R , Bash or similar Experience in capacity planning and modeling using AI/ML, queueing models or similar approaches Performance tuning experience in Java or similar application code What we offer Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally. Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today. Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way! High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

Position Title - Full Stack Lead Location - Gurugram Experience - 7-11 yrs Responsibilities : • Lead and manage a team of developers, ensuring alignment with project goals and timelines. • Design and implement scalable and maintainable software systems. • Ensure high-quality software development practices through code reviews and mentoring. • Work closely with cross-functional teams to integrate AI models into the product. • Take ownership of system architecture and design decisions. • Participate in the development of AI models and assist with their deployment. • Ensure proper version control and CI/CD processes are followed. • Assist with problem-solving and technical challenges faced by the development team. • Stay up-to-date with emerging technologies and AI trends. Qualifications: • Bachelor's degree in Computer Science, Engineering, or a related field. • 6+ years of experience in software development, with at least 2 years in a leadership role. • Strong expertise in programming languages like Python, Java, or similar. • In-depth experience in AI/ML development, including working with LLMs . • Experience in system design, architecture, and development practices. • Strong understanding of software development best practices and agile methodologies. • Proven ability to lead teams and mentor junior developers. • Experience with cloud platforms (AWS, Azure, GCP).

Key responsibilities: Collaborate with business, platform and technology stakeholders to understand the scope of projects. Perform comprehensive exploratory data analysis at various levels of granularity of data to derive inferences for further solutioning/experimentation/evaluation. Design, develop and deploy robust enterprise AI solutions using Generative AI, NLP, machine learning, etc. Continuously focus on providing business value while ensuring technical sustainability. Promote and drive adoption of cutting-edge data science and AI practices within the team. Continuously stay up to date on relevant technologies and use this knowledge to push the team forward. We are looking for: A team player having 4-7 years of experience in the field of data science and AI. Proficiency with programming/querying languages like python, SQL, pyspark along with Azure cloud platform tools like databricks, ADF, synapse, web app, etc. An individual with strong work experience in areas of text analytics, NLP and Generative AI. A person with a scientific and analytical thinking mindset comfortable with brainstorming and ideation. A doer with deep interest in driving business outcomes through AI/ML. A candidate with bachelor’s or master’s degree in engineering, computer science with/withput a specialization within the field of AI/ML. A candidate with strong business acumen and desire to collaborate with business teams and help them by solving business problems. Prior understanding in business domain of shipping and logistics is an advantage. Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.

Description The Project Management Manager – Automation (Finance) is responsible for overseeing and driving the end-to-end execution of automation initiatives within the Corporate Services (Cummins Services) Finance function. This includes managing a cross-functional team, aligning strategic priorities, and ensuring timely, high-quality delivery of technology-enabled finance transformation projects. The role plays a critical bridge between finance, business, and technology teams to foster innovation, enhance efficiencies, and enable long-term business outcomes. Key Responsibilities 1. Leadership & Team Development Lead and manage the Cummins Services Finance Automation team, including internal and supplier resources. Drive individual development plans (IDPs) and performance objectives for all team members. Foster growth in both technical and functional capabilities aligned with finance needs. Promote a culture of accountability, innovation, collaboration, and continuous learning. Partner with HR Business Partners (HRBPs) for long-term team sustainability and succession planning. Strategic Alignment & Innovation Collaborate with Cummins Services Finance Global Leadership to align on automation goals and priorities. Drive alignment with Digital Enablement & Analytics (DE&A) and Global Finance Systems strategies. Shape and execute the Finance Technology Roadmap in partnership with stakeholders. Champion the exploration and adoption of emerging technologies such as UiPath, GenAI, AI/ML. Act as a liaison between business and IT to influence strategic automation directions. Delivery Oversight Lead technical assessment and prioritization of the Continuous Improvement (CI) Hopper backlog. Monitor the project pipeline and delivery lifecycle to ensure timely, quality outputs. Oversee post-deployment support and solution performance (“infant care”), identifying enhancements or retirement opportunities. Collaborate across functions to resolve delivery challenges and enable cross-team success. Project and Portfolio Management Coordinate, prioritize, negotiate, and manage execution of assigned projects and contracts. Approve business workflows, project designs, and integration strategies. Support Project Managers in issue resolution and risk assessment using quality tools. Monitor project health, status, budgets, and success metrics. Delegate project assignments based on capacity, capability, and developmental needs. Coach and develop team members in project management skills and best practices. Responsibilities Skills and Competencies Project Management: Proven ability to manage project scope, schedule, and resources to deliver high-impact results. Financial Acumen: Strong understanding of finance principles and ability to apply financial insights in decision-making. Strategic Thinking & Innovation: Demonstrated capability to align projects with broader business goals and explore future technologies. Leadership: Ability to lead diverse teams, manage conflict, and build high-performance cultures. Stakeholder Management: Balancing and addressing the needs of multiple internal and external stakeholders. Communication: Strong written and verbal communication, able to tailor messages for different audiences. Change Management: Proficient in applying structured change management practices to drive adoption. Customer Focus: Ability to deliver value through customer-centric solutions. Analytical Thinking: Skilled in managing complexity and making data-informed decisions. Values Differences: Demonstrated appreciation for diverse perspectives and inclusive leadership. Experience Significant experience (typically 10+ years) in project management, finance transformation, or technology implementation within a corporate or shared services environment. Demonstrated supervisory experience with responsibility for team development and performance. Hands-on experience with finance technologies, automation tools (e.g., UiPath), or data/AI/ML solutions is a strong advantage. Qualifications Required Qualifications Bachelor’s degree from an accredited college or university (Finance, Business, Engineering, or related field preferred). PMP certification or equivalent is desirable. Job Finance Organization Cummins Inc. Role Category Hybrid Job Type Exempt - Experienced ReqID 2417298 Relocation Package No

Senior Data Science Lead Primary Skills Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio Job requirements JD is below: The Agentic AI Lead is a pivotal role responsible for driving the research, development, and deployment of semi-autonomous AI agents to solve complex enterprise challenges. This role involves hands-on experience with LangGraph, leading initiatives to build multi-agent AI systems that operate with greater autonomy, adaptability, and decision-making capabilities. The ideal candidate will have deep expertise in LLM orchestration, knowledge graphs, reinforcement learning (RLHF/RLAIF), and real-world AI applications. As a leader in this space, they will be responsible for designing, scaling, and optimizing agentic AI workflows, ensuring alignment with business objectives while pushing the boundaries of next-gen AI automation. ________________________________________ Key Responsibilities 1. Architecting & Scaling Agentic AI Solutions Design and develop multi-agent AI systems using LangGraph for workflow automation, complex decision-making, and autonomous problem-solving. Build memory-augmented, context-aware AI agents capable of planning, reasoning, and executing tasks across multiple domains. Define and implement scalable architectures for LLM-powered agents that seamlessly integrate with enterprise applications. 2. Hands-On Development & Optimization Develop and optimize agent orchestration workflows using LangGraph, ensuring high performance, modularity, and scalability. Implement knowledge graphs, vector databases (Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG) techniques for enhanced agent reasoning. Apply reinforcement learning (RLHF/RLAIF) methodologies to fine-tune AI agents for improved decision-making. 3. Driving AI Innovation & Research Lead cutting-edge AI research in Agentic AI, LangGraph, LLM Orchestration, and Self-improving AI Agents. Stay ahead of advancements in multi-agent systems, AI planning, and goal-directed behavior, applying best practices to enterprise AI solutions. Prototype and experiment with self-learning AI agents, enabling autonomous adaptation based on real-time feedback loops. 4. AI Strategy & Business Impact Translate Agentic AI capabilities into enterprise solutions, driving automation, operational efficiency, and cost savings. Lead Agentic AI proof-of-concept (PoC) projects that demonstrate tangible business impact and scale successful prototypes into production. 5. Mentorship & Capability Building Lead and mentor a team of AI Engineers and Data Scientists, fostering deep technical expertise in LangGraph and multi-agent architectures. Establish best practices for model evaluation, responsible AI, and real-world deployment of autonomous AI agents. ________________________________________

Senior Data Science Lead Primary Skills Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio Job requirements JD is below: The Agentic AI Lead is a pivotal role responsible for driving the research, development, and deployment of semi-autonomous AI agents to solve complex enterprise challenges. This role involves hands-on experience with LangGraph, leading initiatives to build multi-agent AI systems that operate with greater autonomy, adaptability, and decision-making capabilities. The ideal candidate will have deep expertise in LLM orchestration, knowledge graphs, reinforcement learning (RLHF/RLAIF), and real-world AI applications. As a leader in this space, they will be responsible for designing, scaling, and optimizing agentic AI workflows, ensuring alignment with business objectives while pushing the boundaries of next-gen AI automation. ________________________________________ Key Responsibilities 1. Architecting & Scaling Agentic AI Solutions Design and develop multi-agent AI systems using LangGraph for workflow automation, complex decision-making, and autonomous problem-solving. Build memory-augmented, context-aware AI agents capable of planning, reasoning, and executing tasks across multiple domains. Define and implement scalable architectures for LLM-powered agents that seamlessly integrate with enterprise applications. 2. Hands-On Development & Optimization Develop and optimize agent orchestration workflows using LangGraph, ensuring high performance, modularity, and scalability. Implement knowledge graphs, vector databases (Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG) techniques for enhanced agent reasoning. Apply reinforcement learning (RLHF/RLAIF) methodologies to fine-tune AI agents for improved decision-making. 3. Driving AI Innovation & Research Lead cutting-edge AI research in Agentic AI, LangGraph, LLM Orchestration, and Self-improving AI Agents. Stay ahead of advancements in multi-agent systems, AI planning, and goal-directed behavior, applying best practices to enterprise AI solutions. Prototype and experiment with self-learning AI agents, enabling autonomous adaptation based on real-time feedback loops. 4. AI Strategy & Business Impact Translate Agentic AI capabilities into enterprise solutions, driving automation, operational efficiency, and cost savings. Lead Agentic AI proof-of-concept (PoC) projects that demonstrate tangible business impact and scale successful prototypes into production. 5. Mentorship & Capability Building Lead and mentor a team of AI Engineers and Data Scientists, fostering deep technical expertise in LangGraph and multi-agent architectures. Establish best practices for model evaluation, responsible AI, and real-world deployment of autonomous AI agents. ________________________________________

Electronics Embedded Engineer Experience: 0 - 2 Years Exp Salary: INR 4-6 Lacs per annum Preferred Notice Period : 15 Days Shift : 10:00 AM to 6:00 PM IST Opportunity Type: Office (Kota) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : UART OR Embedded Linux OR SPI OR I2CandRaspberry Pi OR Eagle and Develop Product Requirement Documents (PRDs) Eeki (One of Uplers' Clients) is Looking for: Electronics Embedded Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description Responsibilities: Design and test embedded hardware interfaces for sensors and communication modules. Develop Product Requirement Documents (PRDs), system architecture, and supporting documentation throughout the product development lifecycle. Perform schematic design, PCB layout, component selection, Bill of Materials (BOM) creation, Gerber file generation, and manage PCB manufacturing and assembly. Oversee board bring-up activities including debugging and validation. Manage vendors including EMS/contract manufacturers and component suppliers — conduct audits and support onboarding. Handle import logistics for electronic components, including CHIMS certification, coordination with clearing agents, and required documentation. Plan project budgets and define test strategies, including firmware development, field testing, and validation. Design custom test jigs and manage product certification processes (EMI/EMC, environmental compliance). Define manufacturing strategies and establish end-to-end logistics operations. Integrate microcontrollers, power systems, and wireless interfaces such as Wi-Fi, LoRa, and 4G. Support board bring-up with a focus on EMC compliance and power optimization Required skills and qualifications: Embedded Linux, UART, I2C, SPI Power optimization and signal integrity PCB bring-up, debugging, and validation Jetson Nano, Raspberry Pi, and other SBCs Hardware integration of edge AI systems Schematic and PCB design tools (e.g., Altium Designer, KiCAD, Eagle) Job Title: Manufacturing & Field Deployment Lead Responsibilities: Develop low-level firmware for precise control and interfacing of sensors and camera modules. Optimize and deploy edge machine learning (ML) models on embedded platforms such as NVIDIA Jetson Nano and Raspberry Pi. Manage hardware interfaces for wireless connectivity including Wi-Fi, LoRa, and 4G LTE. Implement and maintain robust Over-The-Air (OTA) update mechanisms for remote firmware deployment and device management. Design and execute strategies for efficient power management across edge computing systems and sensor networks. Required skills and qualifications: C/C++ for embedded firmware Edge ML frameworks (TensorRT, OpenCV, PyTorch Lite) Connectivity protocols (MQTT, HTTP, custom serial protocols) OTA frameworks and secure firmware updates Power profiling and low-power design techniques How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: Brand of cucumber, bottle gourds & green chilies. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Ways of working: Employees will come to the office twice or thrice a week at their base location and work remotely for the remaining days. About Swiggy Swiggy is India’s leading on-demand delivery platform with a tech-first approach to logistics and a solution-first approach to consumer demands. With a presence in 500+ cities across India, partnerships with hundreds of thousands of restaurants, an employee base of over 5000, a 2 lakh+ strong independent fleet of Delivery Executives, we deliver unparalleled convenience driven by continuous innovation. Built on the back of robust ML technology and fuelled by terabytes of data processed every day, Swiggy offers a fast, seamless and reliable delivery experience for millions of customers across India. From starting out as a hyperlocal food delivery service in 2014, to becoming India’s leading on-demand convenience platform today, our capabilities result not only in lightning-fast delivery for customers, but also in a productive and fulfilling experience for our employees. Job Role Join our digital ad sales team as a leader driving revenue growth by engaging top brands and agencies. You’ll mentor a high-performing team, develop tailored sales strategies, and build long-term, win-win partnerships. Our team is known for accountability, fast execution, and strong collaboration across functions to deliver exceptional results. We value passion, adaptability, and a go-getter mindset, welcoming both experienced digital sales professionals and quick learners eager to make an impact. Responsibilities Drive digital ad sales revenue by identifying and engaging with potential clients, including brands and agencies. Lead and mentor a team to achieve and exceed monthly sales targets. Develop and execute innovative sales strategies tailored to client needs, build JBPs and long term deals which are win win for both parties Ensure high accountability in delivering results within tight timelines, be known as the best servicing team in the ecosystem Build and nurture strong working relationships with the key agencies and brands Collaborate cross-functionally with ops, marketing and business teams when required to unlock large scale conversations with brands and meet their objective Be up to date on evolving trends in the industry, ensure the same is used to build asks from business/process/product pov. Skills Qualification and Skills: Experience: Proven expertise in digital ad sales, with a track record of meeting & exceeding targets. Go-Getter Attitude: Strong self-motivation and resilience in pursuing opportunities. Accountability: Ability to own up end to end conversations with brands/agencies, deliver high-quality results in a fast-paced environment. Team Leadership: Strong capability to inspire and guide a team toward success. Adaptability: Open to candidates from non-ad sales backgrounds, provided they are quick learners, passionate, and eager to contribute. " We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regards to race, color, religion, sex, disability status, or any other characteristic protected by the law"

Organizations everywhere struggle under the crushing costs and complexities of “solutions” that promise to simplify their lives. To create a better experience for their customers and employees. To help them grow. Software is a choice that can make or break a business. Create better or worse experiences. Propel or throttle growth. Business software has become a blocker instead of ways to get work done. There’s another option. Freshworks. With a fresh vision for how the world works. At Freshworks, we build uncomplicated service software that delivers exceptional customer and employee experiences. Our enterprise-grade solutions are powerful, yet easy to use, and quick to deliver results. Our people-first approach to AI eliminates friction, making employees more effective and organizations more productive. Over 72,000 companies, including Bridgestone, New Balance, Nucor, S&P Global, and Sony Music, trust Freshworks’ customer experience (CX) and employee experience (EX) software to fuel customer loyalty and service efficiency. And, over 4,500 Freshworks employees make this possible, all around the world. Fresh vision. Real impact. Come build it with us. Job Description About Freddy AI Freddy AI powers the next generation of CX automation and agent augmentation across Freshworks products — from intelligent AI Agents & chatbots, Copilots and AI Insights. We’re building real-world AI products that blend the latest in LLMs, retrieval-augmented generation (RAG), and Agentic systems to create tangible business outcomes. The Role As a Senior Product Manager on the Freddy AI team, you will: Own and scale critical AI products — Freddy AI Agents and Freddy Copilot — driving vision, roadmap, and outcomes end-to-end. Deeply understand user needs and how modern AI (LLMs, RAG, Agentic systems) can solve real-world CX problems elegantly and responsibly. Drive hands-on product innovation, collaborating with Engineering, Data Science, and Design to ship high-impact features fast. Simplify complex AI capabilities into intuitive, user-friendly experiences without losing technical depth. Operate as a founder — setting goals, executing experiments, measuring success, and iterating to achieve business impact. Qualifications What We’re Looking For 6 - 8 years of working in global/cross-functional software teams in a software product company. SaaS experience is preferred as you’d settle right in. 4+ years of core product management experience in building features for internet / software / SaaS products. 2+ years experience of managing AI / ML / NLP products. Past experience as a data scientist is highly valuable. Has knowledge and experience of managing AI features and models through their complete life-cycle - from conducting structured experimentation to deploying in production to maintaining their efficacy in production.Ability to break down ambiguous problems, prioritize with clear frameworks, and drive rapid, iterative execution. Data-driven decision-making with a bias for action and customer obsession. Exceptional communication skills — able to align Design, Engineering, GTM, and Leadership around a clear product strategy. Bonus Points Experience with CX, AI Agents, Chatbots, Knowledge management, or customer service automation domains. Hands-on understanding of LLMs, prompt engineering, and practical tradeoffs in real-world AI applications. Additional Information At Freshworks, we are creating a global workplace that enables everyone to find their true potential, purpose, and passion irrespective of their background, gender, race, sexual orientation, religion and ethnicity. We are committed to providing equal opportunity for all and believe that diversity in the workplace creates a more vibrant, richer work environment that advances the goals of our employees, communities and the business. At Freshworks, we are creating a global workplace that enables everyone to find their true potential, purpose, and passion irrespective of their background, gender, race, sexual orientation, religion and ethnicity. We are committed to providing equal opportunity for all and believe that diversity in the workplace creates a more vibrant, richer work environment that advances the goals of our employees, communities and the business.

Everything we do is for our customers! Featured on Deloitte's Technology Fast 500 list and G2's leaderboard, Maropost offers a unified commerce experience that our customers need, transforming ecommerce, retail, marketing automation, merchandising, helpdesk and AI operations with one platform designed to scale for fast-growing businesses. With a relentless focus on our customers’ success, we are motivated by customer obsession, extreme urgency, excellence and resourcefulness to to power 5,000+ global brands while we head to 100,000+. Driven by the same customer-centric mentality as above, we empower businesses to achieve their goals and grow alongside us. If you're a driver and not passenger and are ready to make a significant impact and be part of our transformative journey, Maropost is the place for you. The Opportunity Thrive on change and grow beyond limits! We are looking for a bold thinker who sees a chance to learn and define what's possible with every challenge! Ready to make an impact? Welcome to Maropost and you can turn ideas into action! What You'll Be Responsible For Build and manage a REST API stack for Maropost Web Apps. Given the architecture strategy related to our big data, analytics and cloud native product vision, work on the concrete architecture design and, when necessary, prototype it Understanding of systems architecture and ability to design scalable performance-driven solutions. Drive innovation within the engineering team, identifying opportunities to improve processes, tools, and technologies Drive the architecture and design governance for systems and products under scope, as well as code and design reviews. Technical leadership of the development team and ensuring that they follow industry-standard best practices Evaluating and improving the tools and frameworks used in software development Design, develop and architect complex web applications Integrate with ML and NLP engines. DevOps, DBMS & Scaling on Azure or GCP. What You'll Bring To Maropost B.E./B.Tech 3+ years of experience with building, including designing and architecting backend applications, web apps, and analytics, preferably in the commerce cloud or marketing automation domain. Experience in deploying applications at scale in production systems. Experience with platform security capabilities (TLS, SSL etc.) Experience of high-performance web-scale & real-time response systems Experience in building and managing API endpoints for multimodal clients. Enthusiasm to learn and contribute to a challenging & fun-filled startup. A knack for problem-solving and following efficient coding practices. Very strong interpersonal communication and collaboration skills Advanced HLD, LLD, and Design Patterns knowledge is a must. Hands-on experience with tech stacks—RoR and PostgreSQL You exemplify Maropost’s Values: Customer Obsessed Extreme Urgency Excellence Resourceful Message from the Founders: Maropost is looking for builders - people who want to drive our business forward at all costs in order to achieve the goals we have both short and long term for the results and outcomes that that will bring to us all. If that isn't for you that’s ok, for those of you that it is please get in touch with us!

About Tide At Tide, we are building a business management platform designed to save small businesses time and money. We provide our members with business accounts and related banking services, but also a comprehensive set of connected administrative solutions from invoicing to accounting. Launched in 2017, Tide is now used by over 1 million small businesses across the world and is available to UK, Indian and German SMEs. Headquartered in central London, with offices in Sofia, Hyderabad, Delhi, Berlin and Belgrade, Tide employs over 2,000 employees. Tide is rapidly growing, expanding into new products and markets and always looking for passionate and driven people. Join us in our mission to empower small businesses and help them save time and money. About The Role As Staff Data Scientist for the business area you will work closely with the Business Team, Product Managers, Data Governance team, Analysts, Scientists and Data Engineers in order to deliver Company, Business, Product OKRs (Objectives and Key Results). You will also look into data initiatives that drive efficiency in the e2e (end to end) process, from data ingestion to insight generation including data science / machine learning models for decisioning. This role is an excellent opportunity for anyone who is interested in helping /building/embedding data initiatives into several products in a rapidly scaling environment. You will be able to influence our roadmap, learn about best practices and be able to quickly see the impact of your work. As a Staff Data Scientist You’ll Be Develop and plan our roadmap for our domain analytics and data engineering & science team Run scrum ceremonies with our Product/Business team Triage requests, create the work breakdown structure and assign it to respective Engineers/Scientists Work with Engineers, Scientists and governance team to identify challenges they face and work with them to identify solutions to these problems Ensure stakeholders are updated and informed about changes in our domain specific data needs Build and track metrics for the performance of our Engineering & Science team. Feedback to Product and Business Teams Ability to deal with ambiguity and propose innovative solutions without getting blocked What Are We Looking For You have 10+ years of experience in Software development or Machine Learning. With 4+ years of product management experience and at least 2 years as a Product Owner embedding data initiatives into products especially Data Science and Machine Learning You can prioritise ML Data Science and Machine Learning product roadmaps for the respective businesses based on OKRs and priorities You have a deep understanding of managing technical products with a background in data You have a high level understanding with big-data technologies such as Spark, SparkML, Hadoop etc. Strong knowledge of Cloud (AWS or other) You’ve delivered on fast-growing product-focused company before as a Data Manager or Data Lead or Data Program manager (products where the customer is retail or small business - as opposed to internal-facing tools) You’re organised, pragmatic and capable of engaging, guiding and leading cross functional teams or managing large scale enterprise products. You have technical knowledge and experience and have strong empathy for developer audience You’re a self-starter who can work comfortably in a fast-moving company where priorities can change and processes may need to be created from scratch with minimal guidance. You have significant experience working with varied stakeholders You have good technical knowledge in SQL, strong in Python programming You have a good understanding on how the performance optimization works in the end to end data pipeline including ML/DS inferencing You have excellent leadership skills - you have managed a team of data scientists before and coached them to become better versions of themselves OUR TECH STACK (You don’t have to excel in all, but willing to learn them): Databricks on AWS Python Snowflake Tecton - feature store Fiddler - model observability platform What You Will Get In Return Make work, work for you! We are embracing new ways of working and support flexible working arrangements. With our Working Out of Office (WOO) policy our colleagues can work remotely from home or anywhere in their assigned Indian state. Additionally, you can work from a different country or Indian state for 90 days of the year. Plus, you’ll get: Competitive salary Self & Family Health Insurance Term & Life Insurance OPD Benefits Mental wellbeing through Plumm Learning & Development Budget WFH Setup allowance 15 days of Privilege leaves 12 days of Casual leaves 12 days of Sick leaves 3 paid days off for volunteering or L&D activities Stock Options TIDEAN WAYS OF WORKING At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community. TIDE IS A PLACE FOR EVERYONE At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives. We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard. At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone’s voice is heard. You personal data will be processed by Tide for recruitment purposes and in accordance with Tide's Recruitment Privacy Notice .

Description Come join us in revolutionizing how Alexa interacts with customers as we make her the best AI assistant ever! This is a multi-disciplinary role where you will be working closely with Sr. SDEs, PEs and PMs on a regular basis. Your team will be responsible for designing and delivering critical services for Alexa that span across variety of devices including echo and fire tv. If you're interested in working at scale, we support thousands of TPS of live Alexa traffic. You will also have the opportunity to learn and be curious through our LLM/Generative AI initiatives. Key job responsibilities As an Alexa Subscriptions Growth SDM you will be at the forefront of AI innovation, shaping an assistant that fosters natural and productive interactions. You will have the opportunity to collaborate with brilliant minds in the fields of AI, ML, and LLM while managing a high performance team. Partnering with software engineers, designers, and quality assurance, you will work horizontally across Alexa, own mechanisms to prioritize and streamline communication and project delivery across a diverse and highly technical range of Amazon partners. Moreover, you will derive immense satisfaction from working on a product that resonates with your friends and family, one that they can relate to and eagerly anticipate using daily. Basic Qualifications 7+ years of engineering experience 3+ years of engineering team management experience 8+ years of leading the definition and development of multi tier web services experience Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations Experience partnering with product or program management teams Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems Preferred Qualifications Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers 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 HYD 13 SEZ Job ID: A3008132

ANSR is hiring for one of its clients. About American Airlines: To Care for People on Life's Journey®. Together with our American Eagle regional partners, we offer thousands of flights daily to more than 350 destinations in more than 60 countries. American Airlines is transforming the way it delivers technology to its customers and team members worldwide. American’s Tech Hub in Hyderabad, India, is our latest technology office location and home to team members who drive technical innovation and engineer unrivalled digital products to best serve American’s customers and team members. With U.S. tech hubs in Dallas-Fort Worth, Texas and Phoenix, Arizona, our new team in Hyderabad, India enables better support of our 24/7 operation and positions American to deliver industry-leading technology solutions that create a world-class customer experience. Manager, IT Engineering Intro: Are you ready to explore a world of possibilities? Join our American Airlines family, and you’ll grow your expertise, and become the best version of you. As you embark on a new journey, you’ll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop onboard! Why you will love this job: This job is a member of the Operations Research and Advanced Analytics (OR&AA) team. Positioned within the Information Technology organization, the OR&AA team at American Airlines has a long history of being on the leading edge of analytics in the airline domain. Nearly four decades ago we launched the revenue management revolution with our yield management strategy. Today our diverse team of passionate analytics professionals supports decision making across the airline, including pricing and revenue management, fleet and network optimization, crew and flight scheduling, airport and maintenance operations and customer/social media analytics. We are constantly on the lookout to bring together exciting technologies, like the latest in cloud technology, with cutting-edge analytical methods, such as deep learning, computer vision, and natural language processing, to create a competitive edge for American. What you will do: This list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations. As part of the OR&AA team, you will lead a team of Engineers, Operations Research and Data Science professionals responsible for delivering advanced analytics solutions to one or more business organizations within American Airlines. This role blends technical leadership, people management, and strategic alignment to drive innovation and operational excellence. Provide technical leadership for analytical and optimization solutions that improve decision-making and operational efficiency. Drive innovation and adoption of OR and Advanced Analytics across the organization. Champion delivery transformation and emerging technology adoption to enhance analytics capabilities. Build and mentor a high-performing team of engineers, OR scientists, and data scientists. Develop team capabilities through coaching, mentoring, and growth opportunities. Oversee staffing, performance management, and career development aligned with Agile principles. Manage a portfolio of analytics and technical projects, ensuring timely delivery and stakeholder alignment. Collaborate with business leaders to align OR&AA initiatives with strategic goals. Foster cross-functional collaboration and maintain open communication across teams and leadership. Support Agile delivery by removing impediments and enabling self-governing teams. Contribute to technology, product, and people decisions across the product lifecycle. Lead continuous improvement of policies, procedures, and solutions impacting customers and frontline teams. Manage production support and off-hours coordination as needed. Guide the development of industry-leading analytical models, tools, and systems that enhance business processes. Help the team extract insights from data and communicate findings to business stakeholders. Promote technical and analytical upskilling through education and measurable programs. Provide technical leadership and vision for analytical and optimization solutions that enhance business decision-making and operational efficiency. Champion delivery transformation initiatives to deliver technology and analytics solutions more effectively. Lead innovation and drive adoption of Operations Research and Advanced Analytics capabilities across the organization. Promote the use of industry-leading technology trends and continuously assess organizational needs and areas for improvement. All you will need for success: Minimum Qualifications: Education & Prior Job Experience: Bachelor's degree in Technology, Computer Science, Information Systems, ?or related technical discipline, or equivalent experience/training 9+ years of experience participating in delivery of solutions using ITIL / Agile / XP, or similar methodologies Preferred Qualifications: Education & Prior Job Experience: Airline industry experience, including engineering / business processes and supporting technology Skills, Licenses, and Certifications: Experience deploying optimization, AI/ML models, and developing algorithms Proficient in Java, Python, C++; familiar with CI/CD pipelines, APIs, and Kubernetes Strong foundation in applied mathematics, machine learning, and operations research Effective stakeholder management and cross-functional collaboration Strong people leadership with a focus on mentoring and team development Proven ability to lead multiple projects and work streams in Agile environments Excellent communicator, skilled at presenting to executive leadership Organized, adaptable, and able to prioritize in fast-paced settings Upholds technology standards to ensure resiliency and continuous improvement Basic financial acumen for budgeting and forecasting Language / Communication skills: Ability to effectively communicate both verbally and written with all levels within the organization Physical ability necessary to safely and successfully perform the essential functions of the position, with or without any legally required reasonable accommodations that do not pose an undue hardship. Note: If the Company has reason to question an employee’s physical ability to safely and/or successfully perform the position’s essential job functions, the HR team generally will engage in an interactive process to determine whether a reasonable accommodation is appropriate. HR (working with the operation) ordinarily first speaks with the team member directly and they mutually identify the physical demands of the job that are or may be impacted by the employee’s obvious or known condition. Then, if necessary, HR would request medical documentation from the team member’s treating physician or others to confirm the employee’s ability to perform those essential job functions safely and successfully. Feel free to be yourself at American: Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on life’s journey? Feel free to be yourself at American. Competencies: Caring Collaboration Development Future Results

Founded in the year 2017, CoffeeBeans specializes in offering high end consulting services in technology, product, and processes. We help our clients attain significant improvement in quality of delivery through impactful product launches, process simplification, and help build competencies that drive business outcomes across industries. The company uses new-age technologies to help its clients build superior products and realize better customer value. We also offer data-driven solutions and AI-based products for businesses operating in a wide range of product categories and service domains. As part of our continued platform evolution and expansion into generative AI, we are looking for a skilled Machine Learning Engineer to join our team. You will be responsible for designing, building, and deploying machine learning models, with a focus on GenAI, Retrieval-Augmented Generation (RAG), large language models (LLMs), and intelligent chatbot integration. Your work will enable rapid development of innovative use cases contextualized to our client's domain, significantly reducing time-to-market and enhancing end-user experience. Key Responsibilities: Design and develop machine learning and generative AI models to enhance platform capabilities, enable intelligent interactions, and support diverse use cases. Implement Retrieval-Augmented Generation (RAG) pipelines for contextual responses based on enterprise data. Integrate LLM-based chatbots with client-specific domain knowledge and data systems to ensure relevance and accuracy. Collaborate with Data Scientists, ML Engineers, and MLOps teams to operationalize models using Azure ML and other cloud-native services. Build and maintain scalable machine learning and RAG pipelines using Azure technologies. Fine-tune pre-trained LLMs and optimize model performance based on business and technical feedback. Continuously evaluate emerging techniques in generative AI, ML, and data science to recommend improvements and innovations. Work in an Agile environment and participate in team ceremonies and stakeholder interactions to align model development with business needs. Required Skills and Experience: 4–9 years of relevant experience in AI/Machine Learning, Data Science, or a related field. Strong proficiency in Python and experience with ML libraries such as PyTorch, TensorFlow, HuggingFace Transformers, LangChain, etc. Hands-on experience with Azure ML, Azure Cognitive Services, Azure OpenAI, and related Azure data services (e.g., Azure Data Lake, Azure Functions, Azure Search). Experience building and deploying RAG architectures and working with LLMs for enterprise use cases. Understanding of vector databases (e.g., Pinecone, Weaviate, Azure AI Search with Vector Capabilities). Familiarity with chatbot development frameworks and integrating with front-end interfaces. Solid grasp of ML model lifecycle including versioning, monitoring, CI/CD, and MLOps principles. Experience working in collaborative, agile, and fast-paced environments. Databricks Desirable Skills: Familiarity with large-scale data processing using Spark, or similar. Knowledge of containerization and orchestration tools like Docker and Kubernetes. Exposure to domain-specific fine-tuning of LLMs and prompt engineering practices. Strong communication and stakeholder collaboration skills to understand client context and explain technical approaches effectively. Must Have Requirements Strong proficiency in Python and experience with ML libraries such as PyTorch, TensorFlow, HuggingFace Transformers, LangChain, etc. BFSI Domain Experience

This role is for one of Weekday's clients Min Experience: 5 years Location: Bengaluru JobType: full-time Requirements We are looking for an experienced Data Scientist with a strong background in the CPG (Consumer Packaged Goods) or Retail domain , focusing on category and product analytics , forecasting , and machine learning workflows . The ideal candidate will possess advanced analytical skills, business acumen, and hands-on expertise in modern data science tools and platforms such as Python, SQL, Databricks, PySpark , and CI/CD ML pipelines . As a Data Scientist, you will be responsible for generating actionable insights across product assortment, category performance, sales trends, and customer behaviors. Your work will directly influence decision-making for new product launches , inventory optimization , campaign effectiveness , and category planning , enabling our teams to enhance operational efficiency and drive business growth. Key Responsibilities Category & Product Analytics: Conduct deep-dive analysis into product assortment, SKU performance, pricing effectiveness, and category trends. Evaluate new product launches and provide recommendations for optimization based on early performance indicators. Sales Data Analysis & Forecasting: Analyze historical and real-time sales data to identify key growth drivers, seasonality, and demand patterns. Build statistical and ML-based models to forecast demand and category-level performance at multiple aggregation levels. Customer Analytics (Nice to Have): Analyze loyalty program data and campaign performance metrics to assess customer retention and ROI of promotions. ML Model Development & Deployment: Design, build, and deploy machine learning models using Python and PySpark to address business problems in forecasting, product clustering, and sales optimization. Maintain and scale CI/CD pipelines for ML workflows using tools like MLflow, Azure ML, or similar. Data Engineering and Tooling: Develop and optimize data pipelines on Databricks and ensure reliable data ingestion and transformation for analytics use cases. Use SQL and PySpark to manipulate and analyze large datasets with performance and scalability in mind. Visualization & Stakeholder Communication: Build impactful dashboards using Power BI (preferred) to enable self-service analytics for cross-functional teams. Translate data insights into clear, compelling business narratives for leadership and non-technical stakeholders. Collaboration & Strategic Insights: Work closely with category managers, marketing, and supply chain teams to align data science initiatives with key business objectives. Proactively identify opportunities for innovation and efficiency across product and sales functions. Required Skills & Qualifications Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related quantitative field. 5+ years of experience in applied data science, preferably in CPG/Retail/FMCG domains. Proficient in Python, SQL, Databricks, and MLflow. Experience with PySpark and Azure ML is a strong plus. Deep experience with time-series forecasting, product affinity modeling, and campaign analytics. Familiarity with Power BI for dashboarding and visualization. Strong storytelling skills, with the ability to explain complex data-driven insights to senior stakeholders. Solid understanding of challenges and opportunities within the retail and FMCG space. Ability to work independently as well as in cross-functional teams in a fast-paced environment.

Meet the Team Be a part of the highly talented engineering team developing the Mass S cale Infrastructure Routers used by the world’s leading Internet Service Providers, Data Centres, Governments and Large Enterprises. Your Impact As a “ Software Technical Leader / Lead Software Engineer ” , you will: Design, develop and integrate products deployed by leading service providers worldwide. Collaborate with a vibrant, BU-wide technical community to exchange ideas and innovate on next-generation technology. Explore opportunities for personal growth while mentoring colleagues and working on cutting-edge technologies. As a key member of this team, you will: Work alongside seasoned engineers to architect, design, and develop some of the world's largest service provider routers, web centres, and enterprises. Contribute to the evolution of these systems to support exciting new customer business paradigms. Interact and collaborate with some of the industry's finest talent, making work both fun and challenging. Engage with other groups such as Product Management, Marketing, Sales, Customer Support, and Advanced Services. Minimum Qualifications – Experience and Qualifications: Experience: 4 to 8 year s in embedded software/firmware development. Education: BE/ B.Tech /ME/ M.Tech /MS in CS/EE/IT/ECE, MCA, or similar education. Proven ability to derive design and code based on technical standards and write comprehensive, focused design documents. Experience in developing software/firmware for networking equipment. Excellent knowledge of software architecture and system design. Preferred Qualifications : In-depth knowledge of C and a solid understanding of Python. Extensive experience in a Unix/Linux-based development environment. Excellent coding, automation, and debugging skills. Strong teamwork and communication skills. Familiarity with hardware architectures such as PCIe, DMA, I2C, SPI , NPUs/DPUs and processors like x86, AMD, and ARM . Experience with board bring up is a plus. Experience or good understanding of technologies such as AI/ML and cloud computing is a plus. #WeAreCisco ( This is the Standard and cannot be changed ) #WeAreCisco, where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all. Our passion is connection—we celebrate our employees’ diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers, where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best but be their best. We understand our outstanding opportunity to bring communities together and at the heart of that is our people . One-third of Cisconians collaborate in our 30 employee resource organisations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer— 80 hours each year—allows us to give back to causes we are passionate about, and nearly 86% do! Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us!

About Swiggy Swiggy is India’s leading on-demand delivery platform with a tech-first approach to logistics and a solution-first approach to consumer demands. With a presence in 600+ cities across India, partnerships with hundreds of thousands of restaurants, an employee base of over 5000, a 3 lakh+ strong independent fleet of Delivery Executives, we deliver unparalleled convenience driven by continuous innovation. Built on the back of robust ML technology and fuelled by terabytes of data processed everyday, Swiggy offers a fast, seamless and reliable delivery experience for millions of customers across India. From starting out as a hyperlocal food delivery service in 2014, to becoming India’s leading on-demand convenience platform today, our capabilities result not only in lightning-fast delivery for customers, but also in a productive and fulfilling experience for our employees. Roles and Responsibilities:- Managing a team of 100-150 Delivery Executives ( DE) in a zone(s) directly on a daily basis DE efficiency assigned at an individual level. Coach DEs via field training at an individual level for better delivery experience. Conduct regular field audits for better compliance among DEs Manage and control voluntary attrition and control absconders by conducting regular engagement activities. Address DE level issues/grievances by escalating to relevant teams like governance, ROC etc. Mitigate Strikes with minimal ground disruption. Conduct huddles weekly including GTM of new products/launches Provide ground intelligence on cost , speed and new launches. Drive reactivations and attritions through calling and engagement with DEs Drive Referral by engaging with existing DE’s and influencing them to refer more DEs. Desired Skills:- Prior experience in fleet management is preferable. Should have a bike and be willing to travel within the city. Completes tasks independently with minimal follow-ups Should be available to work on Weekends. Knowledge of supervisory techniques to manage, motivate and train blue collared workers. Should know local geographical area knowledge and should be able to converse in local languages The candidate should have an entrepreneurial attitude / should be a go-getter Must have attention to detail and critically think through to resolve problems. Must have customer service skills and be able to maintain a consistent, high level of service. Closing note We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regards to race, color, religion, sex, disability status, or any other characteristic protected by the law

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future. We are looking forward to hire AI/ML Professionals in the following areas : Designation: Lead Data Scientist We are seeking a highly motivated and experienced Lead Data Scientist to join our growing team. In this role, you will be responsible for leading complex data science projects, mentoring junior data scientists, and driving the development of innovative solutions that leverage data to achieve business objectives. You will apply your deep expertise in machine learning, statistical modeling, and data analysis to extract actionable insights and drive strategic decision-making. Experience: 8–11 Years Job Type: Full-time Responsibilities End-to-end delivery ownership of ML and GenAI use cases. Architect RAG pipelines and build enterprise-scale GenAI accelerators. Collaborate with architects and presales teams. Ensure code modularity, testability, and governance. Required Skills LangChain, LangGraph, embedding techniques, prompt engineering. Classical ML: XGBoost, Random Forest, time-series forecasting. Knowledge of Python ML stack and FastAPI. Strong understanding of security and cloud optimization. At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles Flexible work arrangements, Free spirit, and emotional positivity Agile self-determination, trust, transparency, and open collaboration All Support needed for the realization of business goals, Stable employment with a great atmosphere and ethical corporate culture

Description The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Key job responsibilities As an experienced technology professional, you will be responsible for: Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs Providing technical guidance and troubleshooting support throughout project delivery Collaborating with stakeholders to gather requirements and propose effective migration strategies Acting as a trusted advisor to customers on industry trends and emerging technologies Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About The Team About AWS: Diverse Experiences - AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture - Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there nothing we can’t achieve in the cloud. Basic Qualifications Bachelor’s degree required 10+ years of experience as a contact center technology architect, enterprise IT Architect or senior contact center developer working with leading contact center technology platforms and applications, such as Avaya, Cisco, Genesys, Verint, NICE, Salesforce, etc. Hands-on technical practitioner and individual contributor Hands-on experience working on the design, development and deployment of contact center solutions at scale Preferred Qualifications 10+ years of experience building call center / collaboration / telephony platforms in a Cloud or On-Premises environment, particularly building application integration capabilities for CRM/ WFM platforms Familiarity with Amazon Connect capabilities, benefits, and required deployment skills. Responsibility for designing, implementing and operating contact centers or telecommunication infrastructures within an enterprise environment Visible IT Industry thought leadership on relevant topics related to enterprise IT call centers and infrastructure. Experience implementing and optimizing AI-powered customer service solutions Experience with AI/ML technologies in contact center applications, including Natural Language Understanding (NLU), Natural Language Processing (NLP), prompt engineering, large language model implementation, chatbot development and optimization, and AI/ML model training and fine-tuning Serverless development experience including complex integrations with Amazon Lex, Lambda, Kinesis, Dynamo DB, Bedrock and 3rd party AI services Software Development / DevOps experience with integrating contact center platforms, CRMs, and WFMs Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - AWS ProServe IN - Karnataka - H53 Job ID: A3024907