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

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

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

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

- Experience programming in Java, C++, Python or related language - Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse Customer addresses, Geospatial information and Road-network play a crucial role in Amazon Logistics' Delivery Planning systems. We own exciting science problems in the areas of Address Normalization, Geocode learning, Maps learning, Time estimations including route-time, delivery-time, transit-time predictions which are key inputs in delivery planning. As part of the Geospatial science team within Last Mile, you will partner closely with other scientists and engineers in a collegial environment to develop enterprise ML solutions with a clear path to business impact. The setting also gives you an opportunity to think about a complex large-scale problem for multiple years and building increasingly sophisticated solutions year over year. In the process there will be opportunity to innovate, explore SOTA and publish the research in internal and external ML conferences. Successful candidates will have deep knowledge of competing machine learning methods for large scale predictive modelling, natural language processing, semi-supervised & graph based learning. We also look for the experience to graduate prototype models to production and the communication skills to explain complex technical approaches to the stakeholders of varied technical expertise. Key job responsibilities As an Applied Scientist I, your responsibility will be to deliver on a well defined but complex business problem, explore SOTA technologies including GenAI and customize the large models as suitable for the application. Your job will be to work on a end-to-end business problem from design to experimentation and implementation. There is also an opportunity to work on open ended ML directions within the space and publish the work in prestigious ML conferences. About the team LMAI team owns WW charter for address and location learning solutions which are crucial for efficient Last Mile delivery planning, who also owns problems in the space of maps learning and travel time estimations. Experience implementing algorithms using both toolkits and self-developed code Have publications at top-tier peer-reviewed conferences or journals Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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

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

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

We’re seeking a talented and passionate Trainer to join our dynamic team in making a remarkable impact on the future of technology. The ideal candidate should have a strong base in technological concepts and a keen interest in delivery & mentoring. The role involves delivering best-in-class training sessions, supporting curriculum development, and providing hands-on guidance to learners. Responsibilities - What You’ll Do Training Coordination, Support & Delivery Assist in scheduling and coordinating training sessions Deliver classroom-based and virtual instructor-led training (ILT) sessions on various organizational products, platforms and technology Conduct hands-on training, workshops, and exercises to reinforce learning Manage training attendance records and assessments Learner Engagement Help ensuring access of relevant resources to learners Address learner queries by creating a positive learning environment Ensure smooth learning experience throughout the learning cycle Track learner’s progress through specific assessments and exercises Prepare learners for industry-standard certifications Curriculum Development Create structured learning paths for various experience levels Develop course materials, decks, and guides for training Update training content, available in various formats, based on industry trends and technological advancements, as and when applicable Prepare learners with practical applications of product offerings’ concepts Key Skills & Experience - What We’re Looking For Technical Skills Knowledge of any of the following technologies and industry advancements: Familiarity with GenAI Landscape, Machine Learning (ML), or a related area Proficiency in Data Engineering, Apache NiFi, Flow Files, Data Integration & Flow Management, ETL, and Data Warehousing concepts Knowledge of Python, SQL and other relevant programming languages Strong expertise in LCNC development (UI/UX Principles, Java, JavaScript frameworks) Experience with APIs and microservices Fundamental understanding of Web application development Training & Mentoring Skills Prior experience in conducting product-based or technology-based training sessions Ability to simplify complex technical concepts for easy understanding Must have delivery experience – both virtual and in-class trainings Excellent articulation, collaboration and mentoring skills Content Creation Experience in content creation and editing of training videos Qualifications & Experience Bachelor/Master’s degree in Computer Science, Engineering or a related field 5+ experience in cloud-based technologies or Artificial Intelligence (AI) Experience in training or coaching in a corporate or academic environment preferred Must have MS PowerPoint knowledge, Camtasia or other video editing skills Show more Show less

Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network. Come join us to create what’s next. Let’s define tomorrow, together. Description United's Digital Technology team designs, develops, and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions. Our Values : At United Airlines, we believe that inclusion propels innovation and is the foundation of all that we do. Our Shared Purpose: "Connecting people. Uniting the world." drives us to be the best airline for our employees, customers, and everyone we serve, and we can only do that with a truly diverse and inclusive workforce. Our team spans the globe and is made up of diverse individuals all working together with cutting-edge technology to build the best airline in the history of aviation. With multiple employee-run "Business Resource Group" communities and world-class benefits like health insurance, parental leave, and space available travel, United is truly a one-of-a-kind place to work that will make you feel welcome and accepted. Come join our team and help us make a positive impact on the world. Job overview and responsibilities United Airlines is seeking talented people to join the Data Engineering team. Data Engineering organization is responsible for driving data driven insights & innovation to support the data needs for commercial and operational projects with a digital focus. You will work as a Senior Engineer - Machine Learning and collaborate with data scientists and data engineers to: Build high-performance, cloud-native machine learning infrastructure and services to enable rapid innovation across United Build complex data ingestion and transformation pipelines for batch and real-time data Support large scale model training and serving pipelines in distributed and scalable environment This position is offered on local terms and conditions within United’s wholly owned subsidiary United Airlines Business Services Pvt. Ltd. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded. United Airlines is an equal opportunity employer. United Airlines recruits, employs, trains, compensates, and promotes regardless of race, religion, color, national origin, gender identity, sexual orientation, physical ability, age, veteran status, and other protected status as required by applicable law. Qualifications Required BS/BA, in Advanced Computer Science, Data Science, Engineering or related discipline or Mathematics experience required Strong software engineering experience with Python and at least one additional language such as Go, Java, or C/C++ Familiarity with ML methodologies and frameworks (e.g., PyTorch, Tensorflow) and preferably building and deploying production ML pipelines Experience developing cloud-native solutions with Docker and Kubernetes Cloud-native DevOps, CI/CD experience using tools such as Jenkins or AWS CodePipeline; preferably experience with GitOps using tools such as ArgoCD, Flux, or Jenkins X Experience building real-time and event-driven stream processing pipelines with technologies such as Kafka, Flink, and Spark Experience setting up and optimizing data stores (RDBMS/NoSQL) for production use in the ML app context Strong desire to stay aligned with the latest developments in cloud-native and ML ops/engineering and to experiment with and learn new technologies Experience 3 + years of software engineering experience with languages such as Python, Go, Java, Scala, Kotlin, or C/C++ 2 + years of experience working in cloud environments (AWS preferred) 2 + years of experience with Big Data technologies such as Spark, Flink 2 + years of experience with cloud-native DevOps, CI/CD At least one year of experience with Docker and Kubernetes in a production environment Must be legally authorized to work in India for any employer without sponsorship Must be fluent in English and Hindi (written and spoken) Successful completion of interview required to meet job qualification Reliable, punctual attendance is an essential function of the position Preferred Masters in computer science or related STEM field

Ability to design and implement workflows of Linear and Logistic Regression, Ensemble Models (Random Forest, Boosting) using R/Python Demonstrable competency in Probability and Statistics, ability to use ideas of Data Distributions, Hypothesis Testing and other Statistical Tests. Must have experience in dealing with outliers, denoising data and handling the impact of pandemic like situations. Should be able to perform EDA of raw data & feature engineering wherever applicable Demonstrable competency in Data Visualisation using the Python/R Data Science Stack. Should be able to leverage cloud platforms for training and deploying large scale solutions. Should be able to train and evaluate ML model using various machine learning and deep learning algorithm. Retrain and maintain model accuracy in deployment. Should be able to package & deploy large scale models on on-premise systems using multiple approaches including docker. Should be able to take complete ownership of the assigned project Experience of working in Agile environments Well versed with JIRA or equivalent project tracking tool Knowledge of cloud platforms (AWS, Azure and GCP) Exposure to No SQL databases (MongoDB, Cassandra, Cosmos DB, HBase) Forecasting experience in products like SAP, Oracle, Power BI, Qlik, etc. Proficiency in Excel (Power Pivot, Power Query, Macros, Charts) An experience with large data sets and distributed computing (Hive/Hadoop/Spark) Transfer learning using state of art models in different spaces – vision, NLP and speech. - Integration with external services and Cloud API. Working with data annotation approaches and tools for text, images and videos

🔍 We're Hiring: Data Analyst (SaaS – Manufacturing Domain) Join our innovative SaaS product team as a Data Analyst , where you'll turn manufacturing data into actionable insights. You'll work on machine learning models, statistical analysis, and collaborate with cross-functional teams to drive smarter business decisions. What You'll Do: 📊 Analyze large datasets from the manufacturing sector 🤖 Build ML models and optimization solutions 📈 Drive product enhancements through data-driven strategies 💡 Present insights clearly to both tech and non-tech stakeholders What We’re Looking For: 🎓 Degree in Data Science, Engineering, or related field 💻 Strong in Python, SQL, ML libraries (Pandas, scikit-learn, TensorFlow) 📐 Solid background in math/stats (Linear Algebra, Calculus, etc.) 🤝 Great communication & problem-solving skills ⚙️ Experience with optimization techniques is a plus Ready to solve real-world data challenges? Apply now! Show more Show less

Job Description Learning Consultant / Senior Learning Consultant( International Market) Who We Are A brainchild of Mohan Lakhamraju, Arjun Nair, and Hari Krishnan Nair, Great Learning started off teaching Data Science to one batch of 28 believers in 2013. This year, with a community of more than 7600 mentors and expert faculty from industry and academia, Great Learning is catering to students from over 170+ countries. In these 11+ years, we have delivered more than 415 million hours of learning to 12 million+ learners, leading to several thousands of rewarding career transitions. Many of our programs have been consistently ranked No.1 in the country for years and this speaks volumes about the quality of work we do amidst such stiff competition in the market. Our university partners include MIT, Northwestern University, the University of Texas at Austin, Johns Hopkins University IIT Bombay, Great Lakes Institute of Management,and SRM University, with several others imminently joining us on the Great Learning Journey. We love our programs and we feel immense pride every time our graduates crack new jobs, new promotions, new roles and start new divisions or startups - but we are never satisfied and will never stop. Mission Statement - To enable career success in the digital economy (through transformational learning experiences Learn more about us and our journey so far: https://www.mygreatlearning.com/about-us “Tell me and I forget. Teach me and I remember. Involve me and I learn” – Benjamin Franklin Why Join Us EdTech over the last few years has been growing steadily, and COVID has now amplified the focus which is resulting in much larger systemic changes that were long overdue. To put things into perspective, ●​ We have established ourselves as one of the best in the world in ed-tech space for professional education / upskill - Awarded as #1 Ed- Tech Startup in the year 2020. ●​ India’s EdTech market alone is poised to touch $3.5bn by 2022, and $10.4bn by 2025. ●​ Paid users for Skill Development courses are set to grow from 2.31mn users in 2020 to over 8.5mn users by 2025. ●​ Demand for new age skills like Data Science, AI, ML, etc., is growing exponentially, and universities worldwide are collaborating with EdTechs to deliver relevant programs. Great Learning has established its roots deeply in the Higher Education & Skill Development category, and is now growing rapidly with a technology-first approach. The Role ●​ Driving inquiries & admissions for the online/blended learning programs offered for the Domestic Market ●​ Looking after the entire sales life cycle: starting from engaging with the large volume of well qualified leads till the final conversion i.e. enrolment in the program ●​ Counseling experienced professionals via call or email on which course will be useful to their career progression and suggest the best options ●​ Updating and maintaining MIS reports. Requirements ●​ Minimum 0-2 years of work experience, a large part of which should be in BPOs, counseling, or sales (Travel, BFSI, EdTech, FinTech) ●​ Excellent verbal and written communication skills ●​ Proficient in Microsoft Office - especially in Excel ●​ A passion for growing emerging brands. Interview Process ●​ Exploratory Discussion – To understand the basic fitment based on communication, spontaneity, intent, relevance of the past experience and fitment to handle the roles and responsibilities of the given role. ●​ Cultural fitment round – To understand the fitment of the candidate for the role and his/her comprehension and understanding of the role. Also, to assess the sales acumen of the candidate and technical understanding of the product. ●​ Managerial & Team fitment round with Senior Management - This round will cover impact, achievement, growth and overall fitment of the person in the respective team. Job Type: Full-time Pay: ₹450,000.00 - ₹750,000.00 per year Schedule: Evening shift Night shift Work Location: In person Expected Start Date: 23/06/2025

Summary Position Summary Role : Technical Product Manager Deloitte Consulting’s Innovation and Technology team is looking for an experienced product manager who can help lead the definition, development, and delivery of the Deloitte Engineering Platforms (DEP). DEP’s vision is to increase productivity, collaboration, consistency, code reuse, and quality for ~40,000 Deloitte Engineers across the end-to-end software development lifecycle by providing “easy button” access to Deloitte-approved tools and environments in less than a few hours. Work you’ll do The DEP Product Manager will play a critical role in helping to define, update and execute the product innovation and delivery strategy for DEP. This leader will work with DEP users and engineering leaders across Consulting Offering Portfolios to shape and prioritize the product roadmap and functionality enhancements. The DEP Product Manager will work day-to-day with DEP team leads and DEP Product Management team on user experience, architecture, design, and development. This is a hands-on role that will include both strategic planning and communications as well as day-to-day product management for specific DEP workstreams. Given the technical nature of the platform, this role will require a good understanding and grasp of the engineering lifecycle. This is an exciting opportunity as DEP adoption is growing rapidly and we are making major investments in new offerings, and technologies, including Generative AI. The Product Manager will collaborate and align with technical and non-technical stakeholders to translate customer needs into robust and scalable product. As the product champion, the role assumes a team leadership position and demonstrates a consistent record of accomplishment for aligning and ensuring end-to-end organization readiness. Manage the product lifecycle from strategic planning to tactical activities and from envisioning to market readiness, for the creation of prototypes, demos, MVP builds and capability enhancements for the platform Provide objective analysis of potential enhancement opportunities to provide a basis for investment and feature delivery. Gather and prioritize stakeholder feedback and requirements; own the roadmap and backlog. Work closely with DEP lead for the workstreams owned to estimate effort, set the scope, and define timelines for all new development initiatives. Develop product artifacts such as presentations, marketing collateral, and product capability demos for socialization across the Deloitte Consulting leaders and Deloitte engineers. Work with DEP Leader and Chief Product Manager to ensure the product vision is maintained through the development cycle. Liaise with cross functional Deloitte teams that integrate with DEP Drive Certify to Use process activities from a business standpoint with the different domains Qualifications Required: Bachelor's Degree in a relevant field 5+ years of demonstrated success in fast-paced product management role Proven record of accomplishment of launching successful products and enhancing and scaling them through product releases A good understanding of engineering lifecycle, and willingness to learn technical concepts Be highly organized to keep the engineering teams moving forward and deliver on time Proven ability to successfully collaborate with internal stakeholders from various levels and areas of the organization to drive successful cross-functional outcomes Experience working closely with a platform engineering teams to define and manage applications through the entire product lifecycle Strong verbal and written communication skills Preferred: MBA or Master’s degree in a relevant field Experience with coding, Devops, testing, AI/ML Well-developed judgment and problem-solving skills Ability to juggle many competing priorities / deadlines Highly collaborative and the ability to lead by influence High energy / dedicated focus Strong technical background combined with solid business experience High personal integrity and team-orientation Highly self-motivated, passionate team-oriented individual How You’ll Grow At Deloitte, we’ve invested a great deal to create a rich environment in which our professionals can grow. We provide our professionals with a variety of learning and networking opportunities, some of which are: Intensive trainings on latest technologies from eminent external trainers. Internal trainings and workshops. Subscriptions to prominent online training platforms, such as Lynda. Hackathons and tech challenges to exercise your front-end skills. Freedom to adopt and use the latest technologies in your live projects. Travel opportunity (wherever possible) to work at the client’s location or at our global offices. Apart from the above, you will have access to DU: The Leadership Center in India, our state-of-the-art, world-class learning Center in the Hyderabad offices is an extension of the DU in Westlake, Texas, and represents a tangible symbol of our commitment to our people’s growth and development. Explore DU: The Leadership Center in India Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 304898 Show more Show less

As the global leader in high-speed connectivity, Ciena is committed to a people-first approach. Our teams enjoy a culture focused on prioritizing a flexible work environment that empowers individual growth, well-being, and belonging. We’re a technology company that leads with our humanity—driving our business priorities alongside meaningful social, community, and societal impact. How You Will Contribute: As an AI Verification Engineer, you will report to the [Insert Hiring Manager Title or Name], and work closely with cross-functional teams to ensure the quality, performance, and security of AI-powered components embedded within Ciena’s intelligent networking solutions. You will be a key player in validating AI/ML models, prompt engineering strategies, and knowledge base integrations to drive scalable and trustworthy AI solutions. Key responsibilities include: Designing and executing comprehensive test strategies and frameworks for LLM-powered AI agents and applications. Conducting adversarial and edge-case testing to ensure robustness and mitigate risks such as RAG poisoning or prompt injection. Validating the accuracy, concurrency, and effectiveness of RAG pipelines and knowledge base integrations. Engineering and optimizing prompts for generative models using techniques like zero-shot, few-shot, and chain-of-thought prompting. Collaborating with AI/ML and DevOps teams to resolve performance issues and contribute to continuous improvement efforts. The Must Haves: Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. 4+ years of experience in software testing, preferably focused on AI/ML or cloud-based systems. Proficient in Python or similar programming languages. Hands-on experience with AI/ML model testing methodologies (functional, performance, integration, security, metamorphic testing, etc.). Working knowledge of APIs, SQL/NoSQL databases, and CI/CD pipelines. Experience validating and troubleshooting large-scale datasets, data pipelines, and LLM applications. Understanding of AI vulnerabilities and risk mitigation strategies in model validation. Assets: Experience with prompt engineering, including iterative refinement and prompt performance evaluation. Familiarity with frameworks such as TensorFlow, PyTorch, or Google ADK. Exposure to testing and evaluating RAG pipelines and knowledge-grounded AI systems. Background in AI system security, including adversarial testing and prevention strategies. Strong communication skills and the ability to document reusable test and prompt strategies effectively. #LI-FA Not ready to apply? Join our Talent Community to get relevant job alerts straight to your inbox. At Ciena, we are committed to building and fostering an environment in which our employees feel respected, valued, and heard. Ciena values the diversity of its workforce and respects its employees as individuals. We do not tolerate any form of discrimination. Ciena is an Equal Opportunity Employer, including disability and protected veteran status. If contacted in relation to a job opportunity, please advise Ciena of any accommodation measures you may require.

TransUnion's Job Applicant Privacy Notice What We'll Bring Dot net Full Stack Engineer What You'll Bring Key Responsibilities - Develop and maintain front-end & back-end components of our fraud detection platform. Implement real time data processing and streaming functionalities Design and develop APIs for integrating various microservices Collaborate with cross-functional teams to deliver high quality software solutions Participate in entire application lifecycle , focusing on coding, debugging and testing Ensure the implementation of security protocols and data protection measures Stay UpToDate with emerging trends and technologies in AI/ML, fraud detection, and full stack development Required Qualifications - Bachelors or Masters degree in Computer Science, Engineering or a related field. Minimum of 5 yrs. of experience as a .Net Full Stack Developer. Strong proficiency in programming languages such as .Net, ASP, C and C# Experience with data streaming and processing tools (e.g. Apache Kafka, Spark) Solid experience with RDBMS and NoSQL database concepts Experience with developing RESTful or GraphQL APIs Familiarity with cloud platforms (GCP,AWS, Azure) and containerization tools (Docker, Kubernetes) Strong analytical and problem-solving skills. Impact You'll Make NA This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. TransUnion Job Title Developer, Software Development Show more Show less

Ways of Working - Mandate 3 : Employees to be located in their place of posting / respective office base location. 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 Description Sign Contracts with restaurants along and handling the inquiries from existing and new client Gather sales leads from the market and approach restaurants actively, from no star to 5 stars and get them on board with Swiggy as a partner Maintaining a strong relationship with restaurant owners and advising them on issues related to the market and offering solutions on the same Manage the sales administration function, operational performance reporting, streamlining processes and systems wherever possible, and advising senior management on maximizing business relationships and creating an environment where customer service can flourish Responsible for managing the sales individually, developing a business plan covering sales, revenue, agreed targets, and promoting the organizations presence and expense controls, meeting agreed targets, and promoting the organizations presence Should be able to handle potential clients when on field as the first in command Being the face of Swiggy in the market and standing up for the values we believe in Desired Candidate Graduate with 2+ years of experience in sales domain Good working knowledge and experience of e-commerce activities and all online marketing channels Confident, Pleasing and a go-getter personality Effective communication skills Attitude & Aptitude for Sales Should be a team player, working alongside people from all walks of life Analytical, good excel skills. Leadership and Influencing skills: Identify, builds and uses a wide network of contacts with people at all levels, internally and externally. Achieves a good result through a well-planned approach Initiative & Flexibility: Recognizes the need to adapt to change & implement appropriate solutions. Be able to identify opportunities and recommend/influence for change to increase effectiveness and success on campaigns Creativity & Initiative: Demonstrate creativity & originality in your work and have the personal drive and initiative to bring about change and help drive the business forward "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" Show more Show less

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

Work Experience :0-1 1. Design and write high-quality code. 2. Responsible for robust and efficient implementation. 3. Stay abreast of the latest advancements in AI, machine learning, and related technologies. 4. Test, debug, analyze and fix application problems/issues. 5. Participate in code reviews in accordance with program specifications and coding standards, practices and conventions, new designs, changes and enhancements. 6. Interact with stakeholders (internal and external) to support product releases and/or resolve program problems. 7. Research and remain informed of new technology and development tools. 8. Experiment with new technologies and approaches to enhance project outcomes. 9. Contribute to internal knowledge sharing and best practices development. Skills : â—� Should have good command in the Python language. â—� Candidates must have knowledge of one of Python frameworks such as Django/Flask. â—� Design and implement RESTful APIs that are robust, efficient, and scalable using Django and Django Rest Framework. â—� Proficiency in object-oriented design, data structures, algorithm design and problem solving. â—� Design, build, and deploy AI models with a focus on advanced technologies such as ChatGPT, Llama, Claude, DALL-E, Stable Diffusion. â—� Well-versed with Prompt Engineering. â—� Should have knowledge of Agent Development using any of the tech, e.g.. Langchain, AutoGen, CrewAI, etc. â—� Knowledge of Computer Vision, OCR, etc. â—� Good to have exposure to computer vision technologies like Amazon Rekognition, Azure Computer Vision, Google Cloud Vision, and OpenCV. â—� Good to have knowledge of ML Tech and Frameworks like TensorFlow, Keras, PyTorch, Scikit-learn, etc â—� Worked on NLP tech/framework such as BERT, NLTK, Spacy, etc â—� Create intelligent chatbots using AWS Lex, DialogFlow, RASA, and IBM Watson, etc â—� Stay updated with the latest developments in AI, machine learning, and related technologies. â—� Basic Understanding of front-end technologies such as HTML, CSS, JavaScript, and frameworks like React or Angular. E xperience : 0-1 year Experience : 0-1 year Skills : Python, Django, HTML, AI/ML, Css, Flask, RESTful APIs, JavaScript, ML tech and Frameworks like TensorFlow, Keras, PyTorch, Scikit-learn, etc., ,

About Us Our leading SaaS-based Global Growth Platform™ enables clients to expand into over 180 countries quickly and efficiently, without the complexities of establishing local entities. At G-P, we’re dedicated to breaking down barriers to global business and creating opportunities for everyone, everywhere. Our diverse, remote-first teams are essential to our success. We empower our Dream Team members with flexibility and resources, fostering an environment where innovation thrives and every contribution is valued and celebrated. The work you do here will positively impact lives around the world. We stand by our promise: Opportunity Made Possible. In addition to competitive compensation and benefits, we invite you to join us in expanding your skills and helping to reshape the future of work. At G-P, we assist organizations in building exceptional global teams in days, not months—streamlining the hiring, onboarding, and management process to unlock growth potential for all. About The Role As a Principal AI Engineer, you will design, develop, and deploy AI solutions that address complex business challenges. This role requires advanced expertise in artificial intelligence, including machine learning and natural language processing, and the ability to implement these technologies in production-grade systems. Key Responsibilities Develop innovative, scalable AI solutions for real business problems. Drive the full lifecycle of projects from conception to deployment, ensuring alignment with business objectives. Own highly open-ended projects end-to-end, from the analysis of business requirements to the deployment of solutions. Expect to dedicate about 20% of your time to understanding problems and collaborating with stakeholders. Manage complex data sets, design efficient data processing pipelines, and work on robust models. Expect to spend approximately 80% of your time on data and ML engineering tasks related to developing AI systems. Work closely with other AI engineers, product managers, and stakeholders to ensure that AI solutions meet business needs and enhance user satisfaction. Write clear, concise, and comprehensive technical documentation for all projects and systems developed. Stay updated on the latest developments in the field. Explore and prototype new technologies and approaches to address specific challenges faced by the business. Develop and maintain high-quality machine learning services. Prioritize robust engineering practices and user-centric development. Able to work independently and influence at different levels of the organization. Highly motivated and result driven Required Skills And Qualifications Master’s degree in Computer Science, Machine Learning, Statistics, Engineering, Mathematics, or a related field Deep understanding and practical experience in machine learning and natural language processing especially LLMs Strong foundational knowledge in statistical modeling, probability, and linear algebra Extensive practical experience with curating datasets, training models, analyzing post-deployment data, and developing robust metrics to ensure model reliability Experience developing and maintaining machine learning services for real-world applications at scale Strong Python programming skills High standards for code craftsmanship (maintainable, testable, production-ready code) Proficiency with Docker Knowledge of system design and cloud infrastructure for secure and scalable AI solutions. Proficiency with AWS Proven track record in driving AI projects with strong technical leadership. Excellent communication skills when engaging with both technical and non-technical stakeholders Nice To Have Qualifications Experience with natural language processing for legal applications Proficiency with Terraform React and Node.js experience If you're ready to make an impact in a high-paced startup environment, with a team that embraces innovation and hard work, G-P is the place for you. Be ready to hustle and put in the extra hours when needed to drive our mission forward. We will consider for employment all qualified applicants who meet the inherent requirements for the position. Please note that background checks are required, and this may include criminal record checks. G-P. Global Made Possible. G-P is a proud Equal Opportunity Employer, and we are committed to building and maintaining a diverse, equitable and inclusive culture that celebrates authenticity. We prohibit discrimination and harassment against employees or applicants on the basis of race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other legally protected status. G-P also is committed to providing reasonable accommodations to individuals with disabilities. If you need an accommodation due to a disability during the interview process, please contact us at careers@g-p.com. Show more Show less

Job Overview We are looking for a dynamic and innovative Full Stack Data Scientist with 2+ years of experience who excels in end-to-end data science solutions. The ideal candidate is a tech-savvy professional passionate about leveraging data to solve complex problems, develop predictive models, and drive business impact in the MarTech domain. Key Responsibilities 1. Data Engineering & Preprocessing Collect, clean, and preprocess structured and unstructured data from various sources. Perform advanced feature engineering, outlier detection, and data transformation. Collaborate with data engineers to ensure seamless data pipeline development. 2. Machine Learning Model Development Design, train, and validate machine learning models (supervised, unsupervised, deep learning). Optimize models for business KPIs such as accuracy, recall, and precision. Innovate with advanced algorithms tailored to marketing technologies. 3. Full Stack Development Build production-grade APIs for model deployment using frameworks like Flask, FastAPI, or Django. Develop scalable and modular code for data processing and ML integration. 4. Deployment & Operationalization Deploy models on cloud platforms (AWS, Azure, or GCP) using tools like Docker and Kubernetes. Implement continuous monitoring, logging, and retraining strategies for deployed models. 5. Insight Visualization & Communication Create visually compelling dashboards and reports using Tableau, Power BI, or similar tools. Present insights and actionable recommendations to stakeholders effectively. 6. Collaboration & Teamwork Work closely with marketing analysts, product managers, and engineering teams to solve business challenges. Foster a collaborative environment that encourages innovation and shared learning. 7. Continuous Learning & Innovation Stay updated on the latest trends in AI/ML, especially in marketing automation and analytics. Identify new opportunities for leveraging data science in MarTech solutions. Qualifications Educational Background Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Technical Skills Programming Languages: Python (must-have), R, or Julia; familiarity with Java or C++ is a plus. ML Frameworks: TensorFlow, PyTorch, Scikit-learn, or XGBoost. Big Data Tools: Spark, Hadoop, or Kafka. Cloud Platforms: AWS, Azure, or GCP for model deployment and data pipelines. Databases: Expertise in SQL and NoSQL (e.g., MongoDB, Cassandra). Visualization: Mastery of Tableau, Power BI, Plotly, or D3.js. Version Control: Proficiency with Git for collaborative coding. Experience 2+ years of hands-on experience in data science, machine learning, and software engineering. Proven expertise in deploying machine learning models in production environments. Experience in handling large datasets and implementing big data technologies. Soft Skills Strong problem-solving and analytical thinking. Excellent communication and storytelling skills for technical and non-technical audiences. Ability to work collaboratively in diverse and cross-functional teams. Preferred Qualifications Experience with Natural Language Processing (NLP) and Computer Vision (CV). Familiarity with CI/CD pipelines and DevOps for ML workflows. Exposure to Agile project management methodologies. Why Join Us? Opportunity to work on innovative projects with cutting-edge technologies. Collaborative and inclusive work environment that values creativity and growth. If you're passionate about turning data into actionable insights and driving impactful business decisions, we’d love to hear from you! Job Types: Full-time, Permanent Pay: ₹1,000,000.00 - ₹1,200,000.00 per year Benefits: Flexible schedule Health insurance Life insurance Paid sick time Paid time off Provident Fund Schedule: Day shift Fixed shift Monday to Friday Experience: Data science: 2 years (Required) Location: Gurugram, Haryana (Preferred) Work Location: In person

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role? Join Team Amex and let's lead the way together. About the Team American Express is on a journey to provide the world’s best customer experience every day. The Commercial Data Office (CoDO) team, within Global Commercial Services (GCS), is focused on powering the best customer experience and business growth through streamlined data. With continuous changes in the regulatory environment and innovation through data evolving, we play a key role in strengthening GCS critical enablers and supporting new growth opportunities. In partnership with the Enterprise Chief Data Office and across GCS, CoDO is tasked with building new, innovative data solutions for our customers, while adhering to regulations and data management standard methodologies. The team’s scope is comprised of 3 pillars: Drive Strategic Growth & Revenue –Defining the vision and roadmap to transform data as a key asset to power business growth. Modernize Data Management –Ongoing data management, data discovery and collaboration across Global Commercial Services Ensure Health of the Commercial Business – Striving for 100% reliability of current data platforms and capabilities while developing more agility and scalability for the future Purpose of the Role This role would be focused on solutioning for GCS Data governance, Data Quality (DQ), and managing DQ Issues. This would involve partnering with stakeholders/GCS teams to gather requirements; performing Root Cause Analysis via data mining and analysis, identifying process gaps or monitoring existing solutions; proposing and presenting the possible solutions to the leaders/stakeholders and if required, working with technology for development of scalable Data Quality solutions. Responsibilities Accountable for the necessary remediation of data quality Issues originating from business processes and accountable for notifying key stakeholders on remediation activities Ensure data quality Issues are captured, managed, and have a plan for remediation that is thorough, complete, and timely to ensure a comprehensive fix is completed. Writing and executing SQL and python scripts to analyze/profile data and solution for data quality issues in a big data environment and propose robust data quality controls. Knowledge of business data and systems that your domain/business unit produce and consume. Participate in project meetings and communicate effectively with leaders, peers, architects, system analysts, project managers & others, reporting project status as required. Utilize data quality and data profiling tools to solution for DQ framework/issue. Understand, gather, and translate project/user requirements into well-defined features/user stories with testable acceptance criteria, via collaboration with multiple stakeholders on requirements and prioritization Work closely with the technology team to develop, test and deliver the defined deliverables. Perform Unit Acceptance Testing (UAT) before accepting the stories. Raise if any bugs/gaps are identified and get that fixed with technology team. Provide proactive solutioning to any sprint blockers. Understanding of data management concepts and practices such as data security, data quality, meta data. Responsible for building scalable data Quality frameworks for enterprise projects. Minimum Qualifications: Business Outcomes: Deliver high quality & accurate Data Quality solutioning within deadlines. Understanding the gaps and remediating the same as per business requirements. Accountable for the Agile delivery framework. Tracking progress and sharing project updates to ensure stakeholder satisfaction. Academic Background & Past Experience MBA or Bachelor/Advanced degree in science, computer science, information technology, information management 2-5 years of relevant experience as product/business analyst Functional Skills/Capabilities Strong stakeholder management and excellent written & verbal communication. Experience in requirement gathering, product management, backlog creation, project tracking and comprehensive documentation. Experience with Agile Scum process and principles and actively leading Agile ceremonies (Scrum, Grooming, Retrospective) Ability to multi-task with high precision & quality delivery. Ability to independently drive, track and ensure accurate delivery. Technical Skills/Capabilities Strong SQL/Python and MS Excel- data querying and analysis. JIRA for User Stories and Agile Scrum Management. Confluence, MS Word & PowerPoint for documentation. MS Excel knowledge and SQL/Hive for data analysis. ML experience a plus but not compulsory. Understanding of Data Governance, Data Quality, Data lineage, and Data Transformation is a plus. Preferred Qualifications: A good balance of technical knowledge and business acumen. We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role? The Finance Automation COE team within the Finance Technology Data & Transformation (FTD&T) group is responsible for strengthening business engagement framework, identifying and delivering results on critical projects and initiatives leveraging process automation and the use of advanced technologies. We are looking for a motivated colleague who is collaborative and passionate about transforming processes using automation tools & capabilities. The individual is expected to play a critical role of partnering with Controllership and broader Finance leadership teams to assess the opportunities, align with Process Owners and drive automation by using existing and new capabilities. The position is expected to lead automation projects, including process analysis, and partner with technical teams to deploy solutions for Amex Offers and Benefits and other fiancé initiatives. A strong focus on process optimization and driving results is required. The responsibilities of this role include: Collaborate with business partners to identify viable automation opportunities & assess feasibility and detailed analysis in consideration of various automation solutions. Maintain strong relationship with business partners to identify automation opportunities, enhance transparency and proactive communication on various automation initiatives. Support in creating project management cadence, create detailed project plan, collaborate with project team to manage the progress, and facilitate timely execution of automation initiatives. Able to support agile development life cycle, including writing user stories, support solving issues that arise during development, support SIT & UAT and facilitate deployment of the code. Partner with automation development resources and product owners to design a solution working in ‘Agile’ environment. Support in creating & maintaining end to end development roadmaps and Rally tracking for Amex Offers & Benefits projects. Support in creating & testing robust control management and documentation framework in compliance with FF requirements. Support and maintain optimal service management governance process for automated process. Prepare/hand-off process owner support documentation. Enhance automation outreach and training, strengthen ambassador program, provide program updates, and strengthen automation communication to finance colleagues. Skills Required: Innovative mindset and experience in evaluating business processes to identify opportunities for improvement and automation. Strong communication and written skills, with the ability to interact with and present to all levels of the organization. Proven ability to build and leverage relationships and influence key partners to drive collaboration. Monitor & support service management for critical fast forward implemented capabilities. Awareness of Automation tools and capabilities like Data Watch, ML, Business Process Management (BPM) and open-source features to make recommendations for the identified opportunities. Development & delivery of projects by using any of the tools will be a plus. Superior problem-solving and analytical skills, strong learning agility, curiosity and willingness to embrace new challenges. Exposure to agile methodologies, ability to coordinate multiple priorities at once and work in a dynamic, time-critical environment. Knowledge of Finance functions desired. Bachelor’s degree in Finance, Technologies or similar field preferred. We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

WHAT YOU'LL MASTER: Advanced AI art generation. Midjourney, Runway ML and more Next-gen video creation. AI-enhanced video editing workflows that 10x your creative output. WHAT YOU'LL CREATE: Multi-brand campaigns using AI-generated assets. Viral social media content that breaks engagement records. Interactive experiences that blend human creativity with AI precision. Portfolio pieces that make creative directors stop in their tracks. ESSENTIAL QUALIFICATIONS: Art, Design, Visual Communication background. Strong portfolio demonstrating video editing and graphic design excellence. Hands-on experience with Midjourney or similar AI platforms. Familiarity with AI video tools (Runway ML experience is HIGHLY valued). Insatiable curiosity about emerging creative technologies. SUCCESS METRICS: Deliver 20-25 exceptional AI-enhanced creative assets monthly. Master 3-4 cutting-edge AI tools during the program. Build a portfolio of industry-disrupting creative pieces. Present breakthrough techniques to the creative team. WHAT YOU'LL GAIN: Master the most advanced AI creative tools before your competition even knows they exist. Fast-track consideration for full-time roles. Official Iffortpreneur Creative AI Visionary certification. Employers won't wait for you to catch up with AI. They won't remember portfolios that look like everyone else's. You need to be more innovative. More future-ready. More creative than your competition. You need to master AI artistry NOW. What's your move? Stay creating yesterday's content? Or step into tomorrow's creative leadership? APPLICATION REQUIREMENTS: Portfolio showcasing your best creative work. Brief cover letter explaining why you're ready to lead the AI creative revolution. Resume highlighting relevant creative and technical experience. To know more: From the Co-founder: https://youtube.com/shorts/GoxAldc8Kk4?feature=share From previous Iffortpreneurs: https://www.instagram.com/p/C1O74pRPkMU/ h Show more Show less

Everything we do is powered by our customers! Featured on Deloitte's Technology Fast 500 list and G2's leaderboard, Maropost offers a connected experience that our customers anticipate, transforming marketing, merchandising, and operations with commerce tools designed to scale with fast-growing businesses. With a relentless focus on our customers’ success, we are motivated by curiosity, creativity, and collaboration to power 5,000+ global brands. Driven by a customer-first mentality, we empower businesses to achieve their goals and grow alongside us. If you're ready to make a significant impact and be part of our transformative journey, Maropost is the place for you. Become a part of Maropost today and help shape the future of commerce! 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 5+ 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 Hands-on Experience (Advantageous): Open-source databases and caching: Redis, Memcache, MySQL Cloud services: Managing infrastructure with basic services from GCP or AWS, such as VMs, Kubernetes clusters, and Load Balancers. Monitoring and observability tools: Prometheus, Grafana, Loki, OpenTelemetry. Open-source reverse proxies/API Gateways: HAProxy, Nginx, Traefik, Caddy, KrakenD. Open-source WAF tools and firewalls: Fail2ban, ModSecurity, Coraza. Frontend technologies: HTML, CSS, JavaScript, React JS, Vue JS. Network protocols and libraries: HTTP, WebSocket, Socket.IO . Version control and CI/CD: Git, Jenkins, Argo CD, Spinnaker, Terraform What’s in it for you? You will have the autonomy to take ownership of your role and contribute to the growth and success of our brand. If you are driven to make an immediate impact, achieve results, thrive in a high performing team and want to grow in a dynamic and rewarding environment – You belong to Maropost!