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!

Zoptal Solutions Pvt. Ltd. is a technology-driven company building innovative digital solutions across web, mobile, and AI platforms. As part of our growth journey, we're seeking an experienced and passionate AI Developer to join our core tech team and work on cutting-edge AI-powered products. Key Responsibilities: Develop, fine-tune, and deploy AI/ML models with a focus on NLP and Generative AI. Design and implement Retrieval-Augmented Generation (RAG) pipelines using tools like Hugging Face . Build robust, scalable, and high-performance AI solutions using Python . Integrate and manage Vector Databases like Astra DB , and work with PostgreSQL for structured data. Collaborate with product managers and developers to define AI project requirements. Continuously improve model performance and accuracy through experimentation and optimization. Stay up-to-date with the latest research and advancements in AI/ML technologies. Required Skills and Qualifications: Strong programming skills in Python . Experience working with Hugging Face Transformers and Datasets . Understanding of RAG pipelines and retrieval-based systems. Proficiency in Vector Databases (e.g., Astra DB, FAISS) and PostgreSQL . Good understanding of machine learning fundamentals and model evaluation techniques. Ability to write clean, maintainable, and well-documented code. Preferred Skills: Experience with LangChain , LLMs , or OpenAI APIs . Background in building production-ready AI/NLP solutions. Knowledge of cloud platforms (AWS, GCP, Azure) and deployment tools. Experience required: 2 years or above Location: 8B, Mohali Work Type: Work from office, 5 Days working How to Apply: Send your updated resume to our email address with the subject, "Applying for AI Developer" Best Regards, Kavita Rai HR Manager Job Type: Full-time Pay: ₹25,000.00 - ₹60,000.00 per month Location Type: In-person Schedule: Day shift Monday to Friday Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Required) Experience: AI Development : 2 years (Required) Hugging Face: 2 years (Required) Astra DB/vector DB/PostGreSQL: 2 years (Required) RAG Pipeline: 2 years (Required) Location: Mohali, Punjab (Preferred) Work Location: In person Speak with the employer +91 9518295576

Job Description : True North Marine is hiring a Data Scientist to develop predictive models using voyage data and marine engineering insights. You'll be part of a team working on real-world challenges in vessel performance and maritime optimization. What You’ll Do : Build scalable ML models Visualize and analyze maritime data Integrate engineering principles into data science workflows Collaborate on dashboards and UI development Skills Required : Python, ML/NN frameworks Data Visualization (matplotlib, Plotly, etc.) Marine engineering knowledge preferred Strong communication and teamwork Job Types: Full-time, Permanent Pay: ₹1,000,000.00 - ₹1,200,000.00 per year Schedule: Day shift Monday to Friday Education: Bachelor's (Required) Experience: Python, ML/NN frameworks: 2 years (Required) Data Visualization (matplotlib, Plotly, etc.): 1 year (Preferred) Language: English (Preferred) Work Location: In person

Job Description : Should have 4+ years hands-on experience in algorithms and implementation of analytics solutions in predictive analytics, text analytics and image analytics Should have handson experience in leading a team of data scientists, works closely with client’s technical team to plan, develop and execute on client requirements providing technical expertise and project leadership. Leads efforts to foster innovative ideas for developing high impact solutions. Evaluates and leads broad range of forward looking analytics initiatives, track emerging data science trends, and knowledge sharing Engaging key stakeholders to source, mine and validate data and findings and to confirm business logic and assumptions in order to draw conclusions. Helps in design and develop advanced analytic solutions across functional areas as per requirement/opportunities. Technical Role and Responsibilities Demonstrated strong capability in statistical/Mathematical modelling or Machine Learning or Artificial Intelligence Demonstrated skills in programming for implementation and deployment of algorithms preferably in Statistical/ML based programming languages in Python Sound Experience with traditional as well as modern statistical techniques, including Regression, Support Vector Machines, Regularization, Boosting, Random Forests, and other Ensemble Methods; Visualization tool experience - preferably with Tableau or Power BI Sound knowledge of ETL practices preferably spark in Data Bricks cloud big data technologies like AWS, Google, Microsoft, or Cloudera. Communicate complex quantitative analysis in a lucid, precise, clear and actionable insight. Developing new practices and methodologies using statistical methods, machine learning and predictive models under mentorship. Carrying out statistical and mathematical modelling, solving complex business problems and delivering innovative solutions using state of the art tools and cutting-edge technologies for big data & beyond. Preferred to have Bachelors/Masters in Statistics/Machine Learning/Data Science/Analytics Should be a Data Science Professional with a knack for solving problems using cutting-edge ML/DL techniques and implementing solutions leveraging cloud-based infrastructure. Should be strong in GCP, TensorFlow, Numpy, Pandas, Python, Auto ML, Big Query, Machine learning, Artificial intelligence, Deep Learning Exposure to below skills: Preferred Tech Skills : Python, Computer Vision,Machine Learning,RNN,Data Visualization,Natural Language Processing,Voice Modulation,Speech to text,Spicy,Lstm,Object Detection,Sklearn,Numpy, NLTk,Matplotlib,Cuinks, seaborn,Imageprocessing, NeuralNetwork,Yolo, DarkFlow,DarkNet,Pytorch, CNN,Tensorflow,Keras,Unet, ImageSegmentation,ModeNet OCR,OpenCV,Pandas,Scrapy, BeautifulSoup,LabelImg ,GIT. Machine Learning, Deep Learning, Computer Vision, Natural Language Processing,Statistics Programming Languages-Python Libraries & Software Packages- Tensorflow, Keras, OpenCV, Pillow, Scikit-Learn, Flask, Numpy, Pandas, Matplotlib,Docker Cloud Services- Compute Engine, GCP AI Platform, Cloud Storage, GCP AI & MLAPIs Job Types: Full-time, Permanent, Fresher Pay: ₹30,000.00 - ₹80,000.00 per month Education: Bachelor's (Preferred) Experience: Machine learning: 4 years (Preferred) Work Location: In person

About Nanonets Nanonets has a vision to help computers see the world starting with reading and understanding documents. Machine Learning (ML) is no longer a futuristic concept—it's a present-day powerhouse transforming the business landscape. Nanonets is at the forefront of this transformation, offering innovative ML solutions designed to make document-related processes faster than ever before. From automating data extraction processes to enhancing reconciliation, our solutions are designed to revolutionize workflows, optimize operations, and unlock untapped potential for our clients. Our client footprint spans across brands such as Toyota, Boston Scientific, Bill.com and Entergy to name a few enabling businesses across a myriad of industries to unlock the potential of their visual and textual data. We recently announced a series B round of $29 million in funding by Accel and are backed by the likes of existing investors including Elevation Capital and YCombinator. This infusion of capital underscores our commitment to driving innovation and expanding our reach in delivering cutting-edge AI solutions to businesses worldwide. Read about the release here: https://www.forbes.com/sites/davidprosser/2024/03/12/why-enterprises-are-learning-to-love-nan onets-automation/?sh=6d79ec8f3ca1 https://techcrunch.com/2024/03/12/nanonets-funding-accel-india/amp/ We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity Role Overview: We are seeking a Product Analyst to take ownership of key metrics, reporting, and experimentation within Nanonets. Working directly with our founders, this role involves goal setting, tracking, and prioritizing features based on metrics-driven insights. As a Product Analyst, you’ll be critical to helping teams set data-informed goals, clarifying the key metrics that drive success, and enabling a hypothesis-driven approach to product development. Key Responsibilities Metrics Ownership: Manage and report on company metrics, setting measurable goals and tracking progress against them. Outcome Definition: Help teams define data-backed goals and establish measurable outcomes, ensuring efforts align with strategic company objectives. Input Metrics Clarity: Identify and communicate the key levers that drive output metrics, providing teams with actionable insights. Hypothesis-Driven Development: Build systems that support hypothesis testing through product features, creating, running, and measuring A/B tests and experiments to validate customer behavior hypotheses. Product Development Optimization: Partner with product teams to establish high-quality goals, focus on the most impactful metrics, and support agile development based on data-driven decision-making. What We’re Looking For Education: Bachelor’s degree preferably from a reputed institution. Experience: 2+ years of experience as an Analyst. Technical Skills : Proficiency in SQL (required). Strong analytical skills and understanding of key product metrics. Willingness to learn Python and enhance data engineering skills. Robust product sense, with the ability to interpret and act on data for feature prioritization. Mindset : Curious, experiment-driven, and eager to tackle complex product challenges through data. Comfortable scrapping or iterating on underperforming features based on data. Why Join Us? Innovative Culture: Be part of a forward-thinking company at the forefront of AI and ML innovation. Growth Opportunities: Nanonets offers ample growth opportunities, allowing you to make a tangible impact in the product features Flexible Work Arrangements: Enjoy a flexible hybrid work model with in-office time every quarter. Show more Show less

Key Responsibilities Identify and engage potential clients and technology partners to establish long-term strategic relationships. Lead pre-sales initiatives by demonstrating ARMS 4 AI’s capabilities and tailoring solutions to client requirements. Drive B2B lead generation and expand market presence in India and abroad. Develop and deliver compelling proposals in collaboration with internal teams. Train, manage, and mentor the sales team to consistently meet or exceed performance targets. Build and maintain strong relationships with key stakeholders across industries. Monitor technological trends in geospatial, AI, and related fields to identify new business opportunities. Qualifications and RequirementsEducation Bachelor’s or Master’s degree in: Information Technology, Computer Science, Engineering, or Business Administration (MBA) Or a relevant field aligned with geospatial or agritech industries Professional Experience Minimum 2 years of experience in technology sales, enterprise software, or business development roles Demonstrated expertise in: Lead generation and go-to-market strategy Proposal and pitch deck creation Training and managing high-performing sales teams Negotiating and managing partnerships with vendors or technology providers Domain knowledge in: Geospatial technologies, AI/ML, SaaS, or agritech-related sectors Core Skills Strong technical understanding of AI, cloud computing, software development, and geospatial platforms Business acumen with a deep grasp of financial and commercial aspects of partnerships Ability to structure deals, design pricing models, and execute joint venture or revenue-sharing agreements Soft Skills & Attributes Excellent interpersonal and communication skills Strategic thinking with a solutions-oriented approach Adaptability to evolving technologies and business landscapes Collaborative mindset, capable of working across technical and non-technical teams What We Offer Opportunity to join a pioneering startup transforming the geospatial industry with AI Strategic leadership role impacting high-value sectors like Agriculture, Infrastructure, Environment, and Defence A collaborative, innovation-driven culture with access to advanced technologies Competitive compensation and performance-based incentives Job Type: Full-time Pay: ₹800,000.00 - ₹1,000,000.00 per year Schedule: Day shift Supplemental Pay: Performance bonus Language: English (Preferred) Work Location: In person Expected Start Date: 01/07/2025

SUMMARY We are seeking an experienced and versatile Senior Science Writer to lead the creation of high-quality science communication materials. This role is ideal for someone who can translate complex scientific ideas into compelling, accessible narratives for a variety of audiences, including policy makers, funders, media, and the general public. The ideal candidate has deep subject-matter literacy across scientific domains, impeccable writing and editing skills, and a proven track record of thought leadership in science communication. You will work closely with researchers, subject experts, and leadership to produce content that is accurate, strategic, and engaging. Location - Delhi ABOUT US - https://www.wadhwaniai.org/ Wadhwani AI is a nonprofit institute building and deploying applied AI solutions to solve critical issues in public health, agriculture, education, and urban development in underserved communities in the global south. We collaborate with governments, social sector organizations, academic and research institutions, and domain experts to identify real-world problems, and develop practical AI solutions to tackle these issues with the aim of making a substantial positive impact. We have over 30+ AI projects supported by leading philanthropies such as Bill & Melinda Gates Foundation, USAID and Google.org. With a team of over 200 professionals, our expertise encompasses AI/ML research and innovation, software engineering, domain knowledge, design and user research. In the Press: Our Founder Donors are among the Top 100 AI Influencers G20 India’s Presidency: AI Healthcare, Agriculture, & Education Solutions Showcased Globally. Unlocking the potentials of AI in Public Health Wadhwani AI Takes an Impact-First Approach to Applying Artificial Intelligence - data.org Winner of the H&M Foundation Global Change Award 2022 Sole Indian Winners of the 2019 Google AI Impact Challenge, and the first in the Asia Pacific to host Google Fellows Cultures page of Wadhwani AI - https://www.wadhwaniai.org/culture/ ROLES AND RESPONSIBILITIES Research, write, and edit long- and short-form content such as reports, white papers, case studies, op-eds, web copy, funding proposals, and press materials. Collaborate with researchers, program teams, and communications leads to frame scientific work in ways that are relevant and compelling for external stakeholders. Develop content strategies that align with organizational goals and communication campaigns. Ensure scientific accuracy while optimizing for clarity, tone, and impact. Work with design, digital, and multimedia teams to produce content that is visually engaging and accessible. Stay abreast of emerging trends in science communication, journalism, and public engagement. Mentor junior writers or editors and help build internal capacity in science storytelling. REQUIREMENTS A postgraduate or doctoral degree (PhD preferred) in science, technology, economics, medicine, or a related field. 7–10 years of professional experience in science writing, journalism, communications, or a related field. Demonstrated ability to write for diverse audiences—technical and non-technical—across a range of formats. Deep understanding of scientific concepts and the ability to critically interpret peer-reviewed research. Outstanding writing, editing, and storytelling skills with a strong portfolio to showcase. Experience working in or with scientific organizations, think tanks, research institutes, universities, or media outlets. Ability to manage multiple projects and deadlines in a fast-paced environment. A graduate degree in science, journalism, communications, or a related field is preferred. Good to Have Familiarity with donor-funded ecosystems (e.g., philanthropy, foundations, multilateral agencies). Experience in AI, global health, agriculture & education Multimedia or digital storytelling skills (e.g., scripting for video, data visualization, podcasts). We are committed to promoting diversity and the principle of equal employment opportunity for all our employees and encourage qualified candidates to apply irrespective of religion or belief, ethnic or social background, gender, gender identity, and disability. If you have any questions, please email us at careers@wadhwaniai.org.

SUMMARY Wadhwani AI is conducting data collection to develop and validate the ‘Cough against TB’ application by collecting cough sounds in a community setting along TB labels through the usage of the “Cough against TB” data collection App under intensified case-finding efforts under NTEP both at facility-level and community level activity across 10 districts of 5 states. The data collector will support and coordinate the data collection efforts of the Cough against TB AI solution, which is intended to aid in the development and validation of the AI-based screening tool. Location - New Delhi Uttar Pradesh - GB Nagar and Ghaziabad Odisha - Jagatsinghpur and Puri Madhya Pradesh - Narsinghpur and Sheopur Maharashtra - Solapur and Kolhapur Consultant Duration - 6 months ABOUT US - https://www.wadhwaniai.org/ Wadhwani AI is a nonprofit institute building and deploying applied AI solutions to solve critical issues in public health, agriculture, education, and urban development in underserved communities in the global south. We collaborate with governments, social sector organizations, academic and research institutions, and domain experts to identify real-world problems, and develop practical AI solutions to tackle these issues with the aim of making a substantial positive impact. We have over 30+ AI projects supported by leading philanthropies such as Bill & Melinda Gates Foundation, USAID and Google.org. With a team of over 200 professionals, our expertise encompasses AI/ML research and innovation, software engineering, domain knowledge, design and user research. In the Press: Our Founder Donors are among the Top 100 AI Influencers G20 India’s Presidency: AI Healthcare, Agriculture, & Education Solutions Showcased Globally. Unlocking the potentials of AI in Public Health Wadhwani AI Takes an Impact-First Approach to Applying Artificial Intelligence - data.org Winner of the H&M Foundation Global Change Award 2022 Sole Indian Winners of the 2019 Google AI Impact Challenge, and the first in the Asia Pacific to host Google Fellows Cultures page of Wadhwani AI - https://www.wadhwaniai.org/culture/ ROLES AND RESPONSIBILITIES 1. Travel to and participate in routine screening activities at the TB Unit and health camps organized by NTEP staff at various locations within the district to collect data. 2. Input data on the Cough against TB application and collect cough signatures and relevant information from every individual at the camp. 3. Coordinate and source the information on symptoms and risk factors from the NTEP to update the Application. 4. Coordinate with NTEP staff to acquire the Ni-kshay ID of individuals identified as presumptive for TB. 5. Function as Point of Contact (POC) between the organisation and NTEP staff to communicate and address operational and technology-related challenges in data collection, if any 6. Assist supervisor in identifying critical issues, mitigation strategies, and potential impact on various responses. 7. Participate in periodic review meetings organized by the internal team for monitoring and feedback. 8. Perform duties as assigned by the supervisor from time to time. REQUIREMENTS 1. Bachelor’s degree in Social work or any other relevant discipline. 2. Minimum of 1 year of experience in a relevant role working under national health programs for TB/HIV/MNCH/Nutrition. 3. Strong interpersonal and coordination skills and ability to work in a team. 4. Ability to travel to remote locations within the district. 5. Quick learner, adaptable, and able to manage stressful situations. 6. Understanding of the local language of the State. 7. Possess a personal vehicle and a driver’s license. We are committed to promoting diversity and the principle of equal employment opportunity for all our employees and encourage qualified candidates to apply irrespective of religion or belief, ethnic or social background, gender, gender identity, and disability. If you have any questions, please email us at careers@wadhwaniai.org.

SUMMARY We are seeking a Machine Learning Analyst with a strong foundation in Engineering or a related Quantitative Sciences discipline. While prior experience in Machine Learning is not mandatory, candidates with exposure to Machine Learning and Deep Learning (if any) are expected to demonstrate a rigorous understanding of the concepts they are familiar with. The ideal candidate must be a quick learner and demonstrate strong analytical skills, clear thinking and structured problem-solving, strong quantitative aptitude, a willingness to learn, high self-motivation, and a diligent work ethic. ABOUT US Wadhwani AI is a nonprofit institute building and deploying applied AI solutions to solve critical issues in public health, agriculture, education, and urban development in underserved communities in the global south. We collaborate with governments, social sector organizations, academic and research institutions, and domain experts to identify real-world problems, and develop practical AI solutions to tackle these issues with the aim of making a substantial positive impact. We have over 30+ AI projects supported by leading philanthropies such as Bill & Melinda Gates Foundation and Google.org. With a team of over 200 professionals, our expertise encompasses AI/ML research and innovation, software engineering, domain knowledge, design and user research. In the Press: Our Founder Donors are among the Top 100 AI Influencers G20 India’s Presidency: AI Healthcare, Agriculture, & Education Solutions Showcased Globally. Unlocking the potentials of AI in Public Health Wadhwani AI Takes an Impact-First Approach to Applying Artificial Intelligence - data.org Winner of the H&M Foundation Global Change Award 2022 Indian Winners of the 2019 Google AI Impact Challenge, and the first in the Asia Pacific to host Google Fellow PRE-REQUISITES ML Analyst position is open to all with prior training in Engineering or any related Quantitative Sciences discipline No prior experience in Machine Learning or Deep Learning is required Candidates with exposure to ML/DL (if any) are expected to have a clear and rigorous understanding of the concepts they are familiar with Strong skills in data handling, and logical problem-solving Demonstrates a quick learning ability, and a strong work ethic Willingness to take on any task, learn new tools, and adapt to evolving project needs ROLES & RESPONSIBILITIES Work closely with data to support the development of ML and DL solutions Conduct experiments under guidance and report results reliably Learn to derive insights from experimental outcomes and determine appropriate next steps Prepare, curate, and analyse datasets for training and evaluation Monitor incoming data streams and perform regular quality checks Assist in training and inference of ML models, including deep learning architectures Contribute to well-documented and maintainable codebases Document work clearly and consistently with high standards Communicate and present experimental findings and results clearly within the team Learn and apply best practices across ML development, coding, documentation, and experimentation Collaborate effectively with project teams to meet milestones and deliverables Proactively seek help and feedback when needed Work efficiently with tools like Unix, VS Code, GitHub, and Docker Develop proficiency with common ML tools and libraries such as Pandas, Scikit-learn, PyTorch, Excel (pivot tables), Matplotlib, Weights & Biases DESIRED COMPETENSIES Demonstrates curiosity, humility, and a strong motivation to learn and grow Takes full ownership of tasks; highly diligent, detail-oriented, and accountable Willing to engage in all types of work from data cleaning and exploration to debugging and tooling Comfortable sitting with raw data to explore, understand and derive insights, and not just focused on modelling Proactively seeks guidance and independently builds knowledge when needed Approaches every task with a quality-first mindset; no task is considered beneath them Identifies recurring patterns and abstracts them into reusable, generalisable workflows Contributes across the entire ML lifecycle including data preparation, experimentation, and analysis Selects and applies appropriate tools; builds efficient, reliable, and repeatable processes Maintains a high standard of error-free work; reviews and validates work thoroughly Collaborates effectively with cross-functional teams Communicates clearly and constructively, with an emphasis on precision and clarity We are committed to promoting diversity and the principle of equal employment opportunity for all our employees and encourage qualified candidates to apply irrespective of religion or belief, ethnic or social background, gender, gender identity, and disability. If you have any questions, please email us at careers@wadhwaniai.org.