About The Role Grade Level (for internal use): 12 The Role: Foreseer AI – Associate Director The Team: The Foreseer team delivers digital transformation solutions at SPGMI for information extraction from structures and semi structured documents and websites. Foreseer is a human in the loop platform that combines latest AI/ML advances with a state-of-the-art UI for delivering multiple projects, all powered by a core distributed, cloud native, auto scalable framework. Team comprises of experts in Java and Python language and ML engineers. Responsibilities Include Support and foster a quality-first, agile culture that is built on partnership, trust and sharing Design, develop and maintain functionalities to create new solutions on the platform. Learning and understanding all aspects of the framework and the project deliverables. Be technically deep and provide input on architecture, design and code. Be responsible for driving technical design, architecture and implementation of new features and iterations of your project. Collaborate closely with business and PM stakeholders in roadmap planning and implementation efforts and ensure technical milestones align with business requirements. Implement security measures and compliance standards to protect sensitive data and ensure adherence to industry regulations. Maintain comprehensive documentation of platform, processes and procedures for reference and knowledge sharing. Ensure the use of standards, governance and best practices in the industry to deliver high quality scalable solutions. Ability to adapt communication styles to various audiences, from engineers to business stakeholders and executive leadership. Strategic thinker and influencer with demonstrated technical and business acumen and problem-solving skills. Experience & Qualifications BS or MS degree in Computer Science or Information Technology or equivalent. Proven experience in generative AI, machine learning, and data transformation. Strong proficiency in Python and familiarity with AI libraries (e.g., TensorFlow, PyTorch). 10+ years hands on experience with Java, J2EE and related frameworks and technologies (Spring, Restful services, Spring Boot, Spring JPA, Spring Security, MVC etc.). 4+ years of experience with designing, architecting and building microservices based distributed systems in serverless environment (containers platforms). 4+ years of experience in Active MQ, Kafka or other related JMS providers. 2+ years of experience in leading global teams in an agile environment. Proficient with Data structures and Algorithms. Experience with Design and development using generative AI models and algorithms using Python. Experience with Performance tuning, Thread dump analysis and code refactoring. Experience in different data base technologies (like RDBMS, NOSQL) Experience in Containerization, Kubernetes, cloud platforms, CI/CD, and deployments through CI/CD pipelines, and AWS services like S3, EKS, EC2 etc. Proficiency in the development environment, including IDE, web & application server, GIT, Azure DevOps, unit-testing tool and defect management tools Nice To Have Skills Distributed systems programming. AI/ML solutions architecture. Knowledge of GenAI Platforms and tech stacks. Hands on experience with Elastic/Redis search. Hands on experience in Python Hands on experience in Vaadin Framework. Experience in Agile and Scrum methodologies What’s In It For You? Our Purpose Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our Benefits Include Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring And Opportunity At S&P Global At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 315895 Posted On: 2025-06-06 Location: Hyderabad, Telangana, India Show more Show less

About NAKAD : NAKAD is a pioneering company founded by alumni from prestigious institutions such as IIM Ahmedabad, IIT Bombay, and IIT Guwahati, who have previously worked at BCG, HUL, and Oracle. We are at the forefront of transforming ledger reconciliation through our AI & ML-powered product, ARP. In addition, we are revolutionizing supply chain finance through innovative tokenization mechanisms, enhancing credit accessibility for MSMEs. Roles and responsibility: You will have a chance to work on very high-impact distributed systems serving supply chains across industries with automated financial solutions to fill the working capital gap. As a SDE you will be part of our platform team directly working with the founders, customers, and leads to define and execute the product strategy. You will be building across the tech stack that is designing and constructing the APIs, designing optimized schemas, developing data pipelines, creating cloud-based infrastructures and automating deployments. You will own the end-to-end design and implementation of major features, working closely with the team leads. You will also profile and improve the backend performance of the APIs. Writing thorough documentation of the codebase. Writing unit test cases for every developed feature. Background and qualifications Must have : 1+ years of experience as a Software Engineer. Experience working with Typescript, Node and Express. Have good knowledge of relational databases. Willingness to learn new technologies, whatever lets you deliver the best product. Good to have Experience working in an early-stage start-up. Prior experience in building backend components for Fintech Products e.g. - Razorpay, PayU, BharatPe, PayTM etc. Good understanding of accounting statements and methods. Show more Show less

Hiring for top Unicorns & Soonicorns of India! We’re looking for a Machine Learning Engineer who thrives at the intersection of data, technology, and impact. You’ll be part of a fast-paced team that leverages ML/AI to personalize learning journeys, optimize admissions, and drive better student outcomes. This role is ideal for someone who enjoys building scalable models and deploying them in production to solve real-world problems. What You’ll Do Build and deploy ML models to power intelligent features across the Masai platform — from admissions intelligence to student performance prediction. Collaborate with product, engineering, and data teams to identify opportunities for ML-driven improvements. Clean, process, and analyze large-scale datasets to derive insights and train models. Design A/B tests and evaluate model performance using robust statistical methods. Continuously iterate on models based on feedback, model drift, and changing business needs. Maintain and scale the ML infrastructure to ensure smooth production deployments and monitoring. What We’re Looking For 2–4 years of experience as a Machine Learning Engineer or Data Scientist. Strong grasp of supervised, unsupervised, and deep learning techniques. Proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch, etc.). Experience with data wrangling tools like Pandas, NumPy, and SQL. Familiarity with model deployment tools like Flask, FastAPI, or MLflow. Experience working with cloud platforms (AWS/GCP/Azure) and containerization (Docker/Kubernetes) is a plus. Ability to translate business problems into machine learning problems and communicate solutions clearly. Bonus If You Have Experience working in EdTech or with personalized learning systems. Prior exposure to NLP, recommendation systems, or predictive modeling in a consumer-facing product. Contributions to open-source ML projects or publications in the space. Skills: machine learning,flask,python,scikit-learn,tensorflow,pytorch,azure,sql,pandas,models,docker,mlflow,data analysis,aws,kubernetes,ml,artificial intelligence,fastapi,gcp,numpy Show more Show less

Job Description Job Description: NPDE AI/ML Leader Position/Role: NPDE AI/ML Leader Location: Bangalore Who are we and what do we do? (About the team, products/ charter/ technology challenges) The NPDE (New Product Development Engineering) team at Texas Instruments focuses on accelerated product design, lifecycle management, and engineering-to-production solutions. As a part of this strategy for growth we are investing in resources for AI/ML based accelerations for Product Development, enabling us introduce new product designs with highest quality and efficiency. Our charter is to build AI/ML based acceleration platforms that will enable the silicon design teams to accelerate the development of silicon designs, verification of the design, layout/physical design and accelerate building the test solutions for these designs with higher and better-quality gates. Our goal is to maximize product throughput by synergizing tools, technology, data analytics, EDA, and IT infrastructure. We are seeking a highly motivated NPDE AI/ML Leader to drive this effort. If you are passionate to push the envelope of product (silicon and software) development technology and enjoy leading transformational changes in a fast-paced environment, here is the opportunity to be part of TI’s next generation product development journey. What will you be doing in this role? (Responsibilities) As an NPDE AI/ML leader, you will be defining, developing and deploying strategic AI solutions by closely working with the domain experts to accelerate new product development. Develop deep awareness of Silicon development processes, EDA tools and translate complex problems into roadmaps of elegant touch free solutions for a design/verification/layout/validation/test engineer. Set the strategic and technical design of AI architectures, and come up with actionable plans for SW experts and EDA engineers aligning with futuristic goals/ trends in semiconductor development. Lead a team of software specialists to define and operationalize forward looking software solutions to centralize operations management for all facets of silicon development i.e. in design, verification, layout, validation and test. Embrace AI-driven software technologies, data science & machine learning techniques to transform current flows and development procedures, enable operational efficiency and cost leadership. Leverage statistical approaches, trend and pattern analysis, linear mixed models for random & fixed effects, nonlinear/combinatorial optimization in finite search space, network models, and machine learning for predictions of design behaviour. Closely collaborate with design/verification/layout/validation/test technologists and engineers in the company and industry to influence architectures and optimize/customize accelerated development EDA solutions. Responsibilities also involve evaluation of technology approaches to solve real-world problems and participate in standards councils. The candidate will manage accelerated development deliverables with a strong quality and productivity mindset – and the solutions should enable development of highly customized semiconductor products aligning with large fluctuations in customer demand at speed and scale Qualifications Minimum Requirements: Bachelor’s/Master’s degree in Computer Science or Electronics, Electrical Engineering or related field of study 8+ Years of Relevant Experience Preferred Qualifications Good understanding of the semiconductor development process 8+ years of experience as engineering expert with progressive experience in developing and deploying AI/ML solutions, preferably in EDA space Experience in few of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing and neural deep learning methods Advanced proficiency in system design and architecture, generative AI, machine learning to deliver high-performance software and optimizing of algorithms. Strong analytical and problem-solving skills, combined with a passion for research, and technology and the ability to work in teams and collaborate effectively with people in across geographical areas in the world. Excellent communication skills and the ability to thrive in a fast-paced, collaborative environment. Team-work is imperative in this role About Us Why TI? Engineer your future. We empower our employees to truly own their career and development. Come collaborate with some of the smartest people in the world to shape the future of electronics. We're different by design. Diverse backgrounds and perspectives are what push innovation forward and what make TI stronger. We value each and every voice, and look forward to hearing yours. Meet the people of TI Benefits that benefit you. We offer competitive pay and benefits designed to help you and your family live your best life. Your well-being is important to us. About Texas Instruments Texas Instruments Incorporated (Nasdaq: TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, personal electronics, communications equipment and enterprise systems. At our core, we have a passion to create a better world by making electronics more affordable through semiconductors. This passion is alive today as each generation of innovation builds upon the last to make our technology more reliable, more affordable and lower power, making it possible for semiconductors to go into electronics everywhere. Learn more at TI.com . Texas Instruments is an equal opportunity employer and supports a diverse, inclusive work environment. If you are interested in this position, please apply to this requisition. About The Team TI does not make recruiting or hiring decisions based on citizenship, immigration status or national origin. However, if TI determines that information access or export control restrictions based upon applicable laws and regulations would prohibit you from working in this position without first obtaining an export license, TI expressly reserves the right not to seek such a license for you and either offer you a different position that does not require an export license or decline to move forward with your employment. Show more Show less

Hiring for top Unicorns & Soonicorns of India! We’re looking for a Machine Learning Engineer who thrives at the intersection of data, technology, and impact. You’ll be part of a fast-paced team that leverages ML/AI to personalize learning journeys, optimize admissions, and drive better student outcomes. This role is ideal for someone who enjoys building scalable models and deploying them in production to solve real-world problems. What You’ll Do Build and deploy ML models to power intelligent features across the Masai platform — from admissions intelligence to student performance prediction. Collaborate with product, engineering, and data teams to identify opportunities for ML-driven improvements. Clean, process, and analyze large-scale datasets to derive insights and train models. Design A/B tests and evaluate model performance using robust statistical methods. Continuously iterate on models based on feedback, model drift, and changing business needs. Maintain and scale the ML infrastructure to ensure smooth production deployments and monitoring. What We’re Looking For 2–4 years of experience as a Machine Learning Engineer or Data Scientist. Strong grasp of supervised, unsupervised, and deep learning techniques. Proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch, etc.). Experience with data wrangling tools like Pandas, NumPy, and SQL. Familiarity with model deployment tools like Flask, FastAPI, or MLflow. Experience working with cloud platforms (AWS/GCP/Azure) and containerization (Docker/Kubernetes) is a plus. Ability to translate business problems into machine learning problems and communicate solutions clearly. Bonus If You Have Experience working in EdTech or with personalized learning systems. Prior exposure to NLP, recommendation systems, or predictive modeling in a consumer-facing product. Contributions to open-source ML projects or publications in the space. Skills: machine learning,flask,python,scikit-learn,tensorflow,pytorch,azure,sql,pandas,models,docker,mlflow,data analysis,aws,kubernetes,ml,artificial intelligence,fastapi,gcp,numpy Show more Show less

Job Description This is your chance to change the path of your career and guide multiple teams to success at one of the world's leading financial institutions. As a Manager of Software Engineering at JPMorgan Chase within the AI/ML & Data Platform team, you lead multiple teams and manage day-to-day implementation activities by identifying and escalating issues and ensuring your team’s work adheres to compliance standards, business requirements, and tactical best practices. Job Responsibilities Oversee and guide a team of software engineers dedicated to developing tools for observability, data pipelines, financial operations, and orchestration. Collaborate with customers, product managers, and Site Reliability Engineering (SRE) teams to create systems and synchronize observability goals throughout the organization. Offer architectural guidance and set standards for observability implementations, emphasizing cost efficiency and compliance. Work with cross-functional teams to enhance business impact and ensure customer satisfaction through outstanding software delivery. Assess and adopt modern data storage solutions, such as data warehouses and data lakes, to facilitate advanced analytics and dashboard capabilities. Implement best practices for data transformation, real-time processing, and modern data storage solutions to support advanced analytics. Review and integrate new observability tools and technologies, keeping abreast of industry best practices. Required Qualifications, Capabilities, And Skills Formal training or certification on Software engineering concepts and 5+ years applied experience Experience in managing people and leading technical teams. Hands-on experience in backend development using languages such as Python, Java, Node.js, or Golang. Experience working as an Infrastructure or Platform Software Engineer in a fast-paced technology company or startup. Proficiency in cloud-native observability tools, including OpenTelemetry, Grafana, Prometheus, CloudWatch, Datadog, and related agents and collectors. Experience in designing and architecting large-scale distributed systems and cloud-native architecture on AWS. Excellent communication skills with the ability to convey and present business and technical concepts to stakeholders. Preferred Qualifications, Capabilities, And Skills Familiarity working in AI, ML, or Data engineering. Familiar with developing Automation frameworks/AI Ops Show more Show less

Position Summary Sr. Full-Stack Software Lead Engineer – CL5 Role Overview: As a Sr. Full-stack Software Engineer , you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users, while also driving tangible value for Deloitte's business investments. You will leverage your extensive engineering craftsmanship and advanced proficiency across multiple programming languages and modern frameworks, consistently demonstrating your exemplary track record in delivering high-quality, outcome-focused solutions. The ideal candidate will be a dependable team player and mentor, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions. Key Responsibilities: Outcome-Driven Accountability: Embrace and drive a culture of accountability for customer and business outcomes. Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations. Technical Leadership and Advocacy: Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals. Lead requirement analysis, contributing to low-level architecture and component design, development, unit testing, integrations, and support. Engineering Craftsmanship: Maintain accountability for the integrity of code design, implementation, quality, data, and ongoing maintenance and operations. Stay hands-on, self-driven, and continuously learn new approaches, languages, and frameworks. Create technical specifications, and write high-quality, supportable, scalable code and review code of other engineers, mentoring them, to ensure all quality KPIs are met or exceeded. Demonstrate collaborative skills to work effectively with diverse teams. Customer-Centric Engineering: Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time. Incremental and Iterative Delivery: Adopt a mindset that favors action and evidence over extensive planning. Utilize a leaning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions. Cross-Functional Collaboration and Integration: Work collaboratively with empowered, cross-functional teams including product management, experience, and delivery. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation. Advanced Technical Proficiency: Possess deep expertise in modern software engineering practices and principles, including Agile methodologies and DevSecOps to deliver daily product deployments using full automation from code check-in to production with all quality checks through SDLC lifecycle. Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery. Demonstrate strong understanding of the full lifecycle product development, focusing on continuous improvement and learning. Domain Expertise: Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs, architectures, and UX/UI designs into technical specifications and code. Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff. Effective Communication and Influence: Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence teammates and product teams through well-structured arguments and trade-offs supported by evidence. Create coherent narratives that align technical solutions with business objectives. Engagement and Collaborative Co-Creation: Engage and collaborate with product engineering teams at all organizational levels, including customers as needed. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions. The team: US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte’s primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte’s success. It is the engine that drives Deloitte, serving many of the world’s largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. Key Qualifications: A bachelor’s degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required. Experience is the most relevant factor. Excellent software engineering foundation with deep understanding of OOP/OOD, sequence/activity/state/ER/DFD diagrams, data-structure, algorithms, code instrumentations, etc. 8+ years proven experience with Angular, React, NodeJS, Python, Streamlit, C#, .NET Core, Golang, SQL/NoSQL. 8+ years of experience with cloud-native engineering, using FaaS/PaaS/micro-services on cloud hyper-scalers like Azure, AWS, and GCP. 2+ years of experience with AI/ML and GenAI. Strong understanding of methodologies & tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc. to deliver high quality products rapidly. Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care. Hiring Location: Hyderabad Shift Time: 10 AM to 7 PM HowYouWillGrow AtDeloitte,wehaveinvestedagreatdealtocreatearichenvironmentinwhichourprofessionalscangrow.Wewantallourpeopletodevelop in their own way, playing to their own strengths as they hone their leadership skills. And, as a part of our efforts, we provideour professionals with a variety of learning and networking opportunities—including exposure to leaders, sponsors, coaches, and challenging assignments—to helpacceleratetheircareersalongthe way.Notwopeoplelearninexactlythesameway.So,weprovidea range of resources, including live classrooms, team-based learning, and eLearning. Deloitte University (DU): The Leadership Center inIndia, our state-of-the-art, world-class learning center in the Hyderabad office, is an extension of the DU in Westlake, Texas, and represents a tangible symbol of our commitment toourpeople’sgrowthanddevelopment. ExploreDU:TheLeadershipCenterinIndia . Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learnmoreaboutwhat workingatDeloittecanmeanforyou. Deloitte’s culture Our positive and supportive culture encourages ourpeopletodotheirbestworkeveryday.Wecelebrateindividualsbyrecognizingtheiruniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware.We offer well-being programs and are continuously looking for new ways to maintain a culture that is inclusive, invites authenticity,leveragesourdiversity,andwhereourpeopleexcel andleadhealthy,happylives. Learnmore about Life atDeloitte. Corporate citizenship Deloitte is led by a purpose: to make an impact that matters. This purpose defines who we are and extends to relationships with ourclients, our people, and our communities. We believe that business has the power to inspire and transform. We focus on education,giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Deloitte’simpactontheworld. Disclaimer: Please note that this description is subject to change basis business/engagement requirements and at thediscretionofthemanagement. 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: 302558 Show more Show less

Job Description Manager, Data Scientist The Opportunity Based in Hyderabad, join a global healthcare biopharma company and be part of a 130- year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. Be part of an organisation driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products. Drive innovation and execution excellence. Be a part of a team with passion for using data, analytics, and insights to drive decision-making, and which creates custom software, allowing us to tackle some of the world's greatest health threats. Our Technology Centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of our company’s IT operating model, Tech Centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy. A focused group of leaders in each Tech Center helps to ensure we can manage and improve each location, from investing in growth, success, and well-being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers. Role Overview We are seeking a Senior Data Scientist to join our Enterprise IT Advanced Analytics team in our company. This role offers an exciting opportunity to work on initiatives that support our Finance, Procurement, Human Resources, and related business partners. If you have a strong background in machine learning, data science, and optionally large language models, and are passionate about leveraging technology to drive business success, we would love to hear from you. What Will You Do In This Role Understand the needs of the business and translate those needs into technical/DS/ML language. Assess the applicability and develop machine learning and data science solutions to given problems with a focus on AI/ML methods, including large language models. Leverage software engineering methods, including coding, testing, and documentation. Apply data engineering and data modeling skills as needed to deliver the AI/ML solutions. Use visual analytics techniques during the data and business exploration and model building, and, if needed, as a part of the client-facing solution. Define, document, and execute small projects or sub-projects, managing risks and stakeholder involvement. Manage junior staff as a part of the delivery. Within a project delivery, manage stakeholder relationships, including problem resolution and feedback collection. Collaborate cross-functionally to deliver more complex IT or business solutions What Should You Have 3+ years’ experience as a Data Scientist Required Advanced knowledge of statistical modelling and machine learning, in particular regression, classification and forecasting models Proficiency in R and/or Python, git Experience in software development and data engineering with a focus on ML solution build and deployment Ability to apply data engineering and data modelling on a level supporting DS delivery Ability to apply visual analytics techniques and tools on a level supporting DS delivery Experience in project management, including risk management and stakeholder management Working proficiency in English language Preferred Knowledge of large language models (prompt engineering, RAG, agents...), not limited to GPT Knowledge of mathematical optimization techniques Advanced MLOps skills – DS/AI/ML solution build, deployment, monitoring Experience in one or multiple of the supported business functions and types of data (structured and unstructured) existing across those functions Knowledge of cloud services, in particular AWS stack Knowledge of data science platforms Dataiku, Databricks Experience in a similar role in a global, research-oriented pharmaceutical company Proven track record of implementing machine learning and data science solutions Experience in managing stakeholder relationships Demonstrated experience in software development and data engineering Proven experience in project management Our technology teams operate as business partners, proposing ideas and innovative solutions that enable new organizational capabilities. We collaborate internationally to deliver services and solutions that help everyone be more productive and enable innovation. Who We Are We are known as Merck & Co., Inc., Rahway, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been inventing for life, bringing forward medicines and vaccines for many of the world's most challenging diseases. Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world. What We Look For Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us—and start making your impact today. #HYDIT2025 Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model Preferred Skills Job Posting End Date 07/14/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R342325 Show more Show less

Location: Remote Engagement: Freelance/Contract (40 hours/week) Join us at the forefront of AI evolution! We are seeking exceptional Freelance Coding Specialists/Software Engineers/AI Engineers to join our Managed Workforce Program. This is a unique opportunity for expert coders to move beyond conventional software development or basic data annotation and directly contribute to the refinement and advancement of cutting-edge, coding-based foundational AI models . If you're a passionate, top-tier coder with a strong grasp of computer science fundamentals and an ambition to shape the future of AI, we want to hear from you. This role is for individuals who thrive on complex challenges and possess the analytical prowess to meticulously evaluate and enhance AI-generated code and logic. You won't be doing menial tasks; you'll be an expert partner in training sophisticated AI systems. What You'll Do (Your Impact): As a Coding Specialist, you'll be instrumental in improving the capabilities of next-generation AI models. Your core responsibilities will involve: Advanced Data Annotation for AI: Engaging in Reinforcement Learning from Human Feedback (RLHF) and Supervised Fine-Tuning (SFT) evaluations, specifically focused on code generation, code analysis, and related tasks. Prompt Engineering & Response Evaluation: Crafting nuanced prompts to test AI model capabilities, critically evaluating the quality, accuracy, and coherence of AI-generated responses (especially code). Meticulous Response Rewriting: Correcting, refining, and rewriting AI outputs to meet the highest standards of accuracy, logic, and utility, ensuring they are production-ready. Debugging & Enhancing AI Logic: Identifying flaws, biases, or areas for improvement in AI model responses and providing detailed feedback to guide model development. Contributing to Diverse AI Projects: Working across a variety of AI use cases with a primary focus on those involving complex coding tasks and structured thinking. Who You Are (Mandatory Qualifications): We're looking for individuals who are not just coders, but thinkers and problem-solvers: Language Prowess: Fluency in at least one programming language (e.g., Python, JavaScript, Java, C++, etc.) with a demonstrated "charisma" – the ability to quickly learn and translate your coding expertise to new languages and paradigms as needed. Top-Tier Coding Experience: Significant experience in building software products, OR A very strong fundamental education in Computer Science (or a related STEM field) with demonstrable coding expertise. Experience: Minimum of 1 year of relevant professional work experience (excluding internships). Education/Background: Graduate from a Tier 1 college or have experience working in a Tier 1 company; OR a strong background as a Computer Science (CS) graduate or Product Engineer. English Proficiency: Comfortable speaking, understanding, and writing in English to a high standard for clear communication and documentation. Availability: Able to dedicate a minimum of 40 hours per week. Resources: Access to a personal laptop and reliable internet connection. Self-Accountability: Highly self-driven, disciplined, and proactive, capable of managing your work independently while meeting deadlines. What Sets You Apart (Preferred Skills & Attributes): Deep Code Understanding: Experience in providing detailed code reviews or writing in-depth technical documentation (e.g., Product Requirement Documents - PRDs). Analytical Mindset: Exceptional structured thinking, logic, and precision in your approach to tasks. Curiosity & Fast Learner: A genuine passion for AI and the ability to quickly grasp novel concepts and adapt to evolving project requirements. Previous AI/ML Exposure: Familiarity with machine learning concepts, data annotation, or AI model training principles is a plus, but not mandatory if coding skills are top-tier. Why This Role Is a Unique Opportunity (Perks): 1. Beyond Prompting (Real AI Influence): This is far more than prompt writing. You'll be contributing to the actual evolution of AI behavior, from writing nuanced instructions and debugging model responses to handling complex code-based tasks. 2. Diverse, High-Impact Coding Projects: Work across multiple AI use cases focused on coding, building a unique, multidisciplinary skill set in AI's real-world applications. 3. Continuous Learning by Doing (R&D Challenges): Each task is a mini R&D challenge involving novel concepts. Test the boundaries of current AI coding capabilities and adapt your thinking. 4. Direct Influence on Foundational AI Models: Your feedback will directly shape AI outputs used by millions, improving reasoning, reducing bias, and enhancing safety in code generation and understanding. 5. Structured Autonomy: Work independently with clear expectations, frameworks, checklists, and quality benchmarks. Ideal for self-driven, disciplined, and proactive individuals. 6. Career Capital in AI: Build deep domain knowledge in AI, gain exposure to high-quality research workflows, and create a work history that opens doors to full-time roles, consulting, or AI entrepreneurship. 7. Global Collaboration & Remote Flexibility: Collaborate with sharp teams across time zones. Schedule your hours flexibly while aligning with team check-ins, feedback loops, and deadlines via platforms like Slack and Zoom. Program & Onboarding: You'll be part of the Managed Workforce Program, with clear processes from sourcing to performance tracking. Candidate Funnel Stages include Lead Capture, English Test, Live Interview, and Onboarding. (Note: The BM Test details will be handled by our HR team). Successful candidates will undergo an onboarding process including account setup, training on platform tools and terms of use, and a program kickoff. Compensation & Commitment: We believe in paying fairly for deep expertise and quality contribution. You will start at $16.5/hour (If you're experienced) After completing the probation phase and consistently meeting quality standards, your rate can increase up to $27.5/hour This is a freelance contract role with weekly payouts based on approved task completion. Work is flexible but requires a strong commitment to quality, deadlines, and communication. How the Process Works: Once you submit the form below or using apply button, our team will review your profile - Form link: https://docs.google.com/forms/d/e/1FAIpQLSfv95Yy5jfRHLvD6QLLp5BL8cNLeC1oymko8A44XvCJhEOrzQ/viewform?usp=sharing&ouid=100231913057939956983 If you’re shortlisted, we will reach out to you in 1-2 days Show more Show less

Note: Please do not apply if your salary expectations are higher than the provided Salary Range and experience less than 3 years. If you have experience with Travel Industry and worked on Hotel, Car Rental or Ferry Booking before then we can negotiate the package. Company Description Our company is involved in promoting Greece for the last 25 years through travel sites visited from all around the world with 10 million visitors per year such www.greeka.com, www.ferriesingreece.com etc Through the websites, we provide a range of travel services for a seamless holiday experience such online car rental reservations, ferry tickets, transfers, tours etc….. Role Description We are seeking a highly skilled Artificial Intelligence / Machine Learning Engineer to join our dynamic team. You will work closely with our development team and QAs to deliver cutting-edge solutions that improve our candidate screening and employee onboarding processes. Major Responsibilities & Job Requirements include: • Develop and implement NLP/LLM Models. • Minimum of 3-4 years of experience as an AI/ML Developer or similar role, with demonstrable expertise in computer vision techniques. • Develop and implement AI models using Python, TensorFlow, and PyTorch. • Proven experience in computer vision, including fine-tuning OCR models (e.g., Tesseract, Layoutlmv3 , EasyOCR, PaddleOCR, or custom-trained models). • Strong understanding and hands-on experience with RAG (Retrieval-Augmented Generation) architectures and pipelines for building intelligent Q&A, document summarization, and search systems. • Experience working with LangChain, LLM agents, and chaining tools to build modular and dynamic LLM workflows. • Familiarity with agent-based frameworks and orchestration of multi-step reasoning with tools, APIs, and external data sources. • Familiarity with Cloud AI Solutions, such as IBM, Azure, Google & AWS. • Work on natural language processing (NLP) tasks and create language models (LLM) for various applications. • Design and maintain SQL databases for storing and retrieving data efficiently. • Utilize machine learning and deep learning techniques to build predictive models. • Collaborate with cross-functional teams to integrate AI solutions into existing systems. • Stay updated with the latest advancements in AI technologies, including ChatGPT, Gemini, Claude, and Big Data solutions. • Write clean, maintainable, and efficient code when required. • Handle large datasets and perform big data analysis to extract valuable insights. • Fine-tune pre-trained LLMs using specific type of data and ensure optimal performance. • Proficiency in cloud services from Amazon AWS • Extract and parse text from CVs, application forms, and job descriptions using advanced NLP techniques such as Word2Vec, BERT, and GPT-NER. • Develop similarity functions and matching algorithms to align candidate skills with job requirements. • Experience with microservices, Flask, FastAPI, Node.js. • Expertise in Spark, PySpark for big data processing. • Knowledge of advanced techniques such as SVD/PCA, LSTM, NeuralProphet. • Apply debiasing techniques to ensure fairness and accuracy in the ML pipeline. • Experience in coordinating with clients to understand their needs and delivering AI solutions that meet their requirements. Qualifications : • Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. • In-depth knowledge of NLP techniques and libraries, including Word2Vec, BERT, GPT, and others. • Experience with database technologies and vector representation of data. • Familiarity with similarity functions and distance metrics used in matching algorithms. • Ability to design and implement custom ontologies and classification models. • Excellent problem-solving skills and attention to detail. • Strong communication and collaboration skills. Show more Show less

CSQ326R35 The Machine Learning (ML) Practice team is a highly specialized customer-facing ML team at Databricks facing an increasing demand for Large Language Model (LLM)-based solutions. We deliver professional services engagements to help our customers build, scale, and optimize ML pipelines, as well as put those pipelines into production. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in LLMs, MLOps, and ML more broadly. This role can be remote. The Impact You Will Have Develop LLM solutions on customer data, such as RAG architectures on enterprise knowledge repos, querying structured data with natural language, and content generation Help customers solve tough problems across industries like Health and Life Sciences, Finance, Retail, Startups, and many others Build, scale, and optimize customer data science workloads across industries and apply best-in-class MLOps to productionize these workloads Advise data teams on data science architecture, tooling, and best practices Provide thought leadership by presenting at conferences such as Data+AI Summit and mentoring the larger ML SME community in Databricks Collaborate cross-functionally with the product and engineering teams to define priorities and influence the product roadmap What We Look For Experience in building Generative AI applications, including RAG, agents, Text2SQL, fine-tuning, and deploying LLMs, using tools such as HuggingFace, Langchain, and OpenAI 4-10 years of hands-on industry data science experience, leveraging typical machine learning and data science tools including pandas, MLflow, scikit-learn, and PyTorch Experience in building production-grade ML or GenAI deployments on AWS, Azure, or GCP. Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience Experience in communicating and teaching technical concepts to both non-technical and technical audiences Passion for collaboration, life-long learning, and driving business value through ML [Preferred] Experience working with Databricks and Apache Spark™ About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Show more Show less

About Company Largest omnichannel platform and a multi-platform tech company specializing in retail technology and products in AI, ML, big data, image editing, and the learning space. Experience 4 - 8 Years Must Have Graduate or postgraduate degree in marketing, business, or related fields. 4–8 years of experience leading growth initiatives for B2B SaaS products. Demonstrated ability to drive revenue growth through data-driven strategies. Experience with growth hacking and a strong experimentation mindset. Technical skills: Able to write SQL and use tools like Zapier, Clay, Google Analytics, Apollo, etc. Strong analytical capabilities with experience interpreting product usage data. Active interest in AI tools and trends. Experience collaborating with Sales and RevOps teams. Strong communication, attention to detail, and documentation skills. Job stability is important (min 2 years in an organisation). Role Responsibilities Own product growth for one of AI Platforms. Create and execute on a comprehensive growth marketing plan that aligns with the B2B AI Platform's overall revenue goals. Build out a high-quality and economical acquisition channel portfolio to grow our lead pool, warm them up, and stimulate conversions. Identify and execute on product-led growth initiatives to drive lead volume and quality and work independently and self-sufficiently to test new initiatives including landing pages, microsites, forms, catalogs, savings calculators, etc. Work on ABM campaigns via building lead prospecting strategy, tech tools, and implementation used by the BDR team. Includes the process of creating, testing, and deploying prospecting sequences. Build content strategy across emails, thought leadership, whitepapers, socials (if required) and get it executed while monitoring performance. Build dashboards for reporting data to derive insights and to take decisions. Work cross functionally to drive alignment and develop strong relationships within growth marketing, sales, cx, design, webflow, product, and engineering. Build a culture of consistent, focused experimentation and optimization to improve channel performance. Specific Requirements 4-8 years experience with building and running growth initiatives for a B2B SaaS products. Proven track record of driving significant revenue growth through data-driven growth marketing strategies. Experience with growth hacking techniques and a willingness to experiment with new strategies. Technical Skills: You can write SQL. And have become a power user of tools like zapier/clay/google analytics/apollo/etc. Analytical Expertise: Strong ability to interpret product usage data and translate insights into actionable strategies. Be an AI enthusiast: Stay on top of the new tools emerging and trends taking place to take informed decisions across your growth channels. Collaboration: Proven track record of working closely with sales and RevOps teams to drive shared outcomes. Excellent communication, strong attention-to-detail, and detailed documentation is expected at work. Graduate or postgraduate degree in marketing, business, or related fields. Skills: saas,analytical skills,b2b saas,analytical capabilities,b2b,documentation,growth marketing,sql,clay,collaboration,data-driven strategies,google analytics,growth hacking,apollo,revenue,communication,attention to detail,growth initiatives,zapier Show more Show less

Hiring for top Unicorns & Soonicorns of India! We’re looking for a Machine Learning Engineer who thrives at the intersection of data, technology, and impact. You’ll be part of a fast-paced team that leverages ML/AI to personalize learning journeys, optimize admissions, and drive better student outcomes. This role is ideal for someone who enjoys building scalable models and deploying them in production to solve real-world problems. What You’ll Do Build and deploy ML models to power intelligent features across the Masai platform — from admissions intelligence to student performance prediction. Collaborate with product, engineering, and data teams to identify opportunities for ML-driven improvements. Clean, process, and analyze large-scale datasets to derive insights and train models. Design A/B tests and evaluate model performance using robust statistical methods. Continuously iterate on models based on feedback, model drift, and changing business needs. Maintain and scale the ML infrastructure to ensure smooth production deployments and monitoring. What We’re Looking For 2–4 years of experience as a Machine Learning Engineer or Data Scientist. Strong grasp of supervised, unsupervised, and deep learning techniques. Proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch, etc.). Experience with data wrangling tools like Pandas, NumPy, and SQL. Familiarity with model deployment tools like Flask, FastAPI, or MLflow. Experience working with cloud platforms (AWS/GCP/Azure) and containerization (Docker/Kubernetes) is a plus. Ability to translate business problems into machine learning problems and communicate solutions clearly. Bonus If You Have Experience working in EdTech or with personalized learning systems. Prior exposure to NLP, recommendation systems, or predictive modeling in a consumer-facing product. Contributions to open-source ML projects or publications in the space. Skills: machine learning,flask,python,scikit-learn,tensorflow,pytorch,azure,sql,pandas,models,docker,mlflow,data analysis,aws,kubernetes,ml,artificial intelligence,fastapi,gcp,numpy Show more Show less

At NICE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. So, what’s the role all about? The Tech Manager of Engineering plans and directs all aspects of engineering activities and projects within the organization and manages a team of engineers. Ensures all engineering projects, initiatives, and processes are in conformance with organization's established policies and objectives. The ideal candidate should have strong technical skills and be able to provide expert technical guidance for engineering initiatives. He should also be good with project management skills and. Guides the team to follow the best software development and testing processes and tools to ensure best quality of products. How will you make an impact? Work closely with product manager, technical architect, QA engineers, Technical writers, and software engineers to define/develop features - big and small for our products. Actively guide and mentor the team to develop product features. Assist in the development of short, medium, and long-term plans to achieve strategic objectives Drive and impact all current processes related to software development and improvements across the org as necessary. Manage all people aspects of the team, such as hiring, reviews, mentoring, and promotions, etc. Prioritize, assign and manage department activities and projects in accordance with the R&D departments goals and objectives. Develop performance-oriented culture Promote innovation Ensure best software quality of products Key Responsibilities: Lead and manage data science teams, providing guidance, direction, and mentorship. Drive research initiatives, foster innovation, and find cutting-edge solutions to complex problems. Collaborate with cross-functional stakeholders to facilitate communication and synergy between teams. Create thought leadership in the field and be the AI leader of the team. Enhance research agility and progression. Work closely with product managers, DS Research teams, Engineering teams, and data scientists to build futuristic ML models. Actively guide and mentor team of Data Scientists. Manage all people aspects of the team, such as hiring, reviews, mentoring, and promotions, etc. Prioritize, assign and manage department activities and projects in accordance with the R&D departments goals and objectives. Develop performance-oriented culture Have you got what it takes? 13+ years of experience in Software Engineering At least 2 years experience in managing teams of software developers and testers. Experience delivering data analytics projects/platform and architecture guidelines particularly using public cloud Ability to design data lake, data pipelines and analytics platform Has extensive experience with large projects (large number of stakeholders, multi locations/global footprint, complex SaaS products) Development experience with developing software around BigData and Machine Learning. Proven track record of managing the development of enterprise-grade software products that can perform, scale, and integrate into a broad enterprise ecosystem. Deep experience with Agile/SCRUM/SAFe software development methodologies. Experience developing Cloud based software products that can perform, scale, and integrate into a broad Cloud ecosystem. Experience with CI CD practices using standard tools such as Jenkins, Docker, VMs and Artifactory Effective People Management skills - Holds team members accountable and inspires, motivates, develops, and engages team to create strong morale and spirit; shares wins and successes; fosters open dialogue, and creates a feeling of belonging in the team Preferred - Experience to work on Cloud hosted SaaS platform Experience to create data pipelines in AWS ecosystem Experience in Machine Learning Experience in visualization What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr! Enjoy NiCE-FLEX! At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Reporting into: Director, Engineering, Actimize Role Type: People Manager Req ID: 7344 About NICE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NICE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NICE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NICE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law. Show more Show less

Job Description Entity : - Accenture Strategy & Consulting Title : - Level 9 - Ind & Func AI Decision Science Consultant Job location : - Bengaluru, Gurugram, Mumbai About S&C - Global Network : - Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition WHAT'S IN IT FOR YOU? Accenture CFO & EV team under Data & AI team has comprehensive suite of capabilities in Risk, Fraud, Financial crime, and Finance. Within risk realm, our focus revolves around the model development, model validation, and auditing of models. Additionally, our work extends to ongoing performance evaluation, vigilant monitoring, meticulous governance, and thorough documentation of models. Get to work with top financial clients globally Access resources enabling you to utilize cutting-edge technologies, fostering innovation with the world's most recognizable companies. Accenture will continually invest in your learning and growth and will support you in expanding your knowledge. You'll be part of a diverse and vibrant team collaborating with talented individuals from various backgrounds and disciplines continually pushing the boundaries of business capabilities, fostering an environment of innovation. What You Would Do In This Role Engagement Execution Work independently/with minimal supervision in client engagements that may involve model development, validation, governance, strategy, transformation, implementation and end-to-end delivery of fraud analytics/management solutions for Accenture's clients. Advise clients on a wide range of Fraud Management/ Analytics initiatives. Projects may involve Fraud Management advisory work for CXOs, etc. to achieve a variety of business and operational outcomes. Develop and frame Proof of Concept for key clients, where applicable Practice Enablement Guide junior team members. Support development of the Practice by driving innovations, initiatives. Develop thought capital and disseminate information around current and emerging trends in Fraud Analytics and Management Support efforts of sales team to identify and win potential opportunities by assisting with RFPs, RFI. Assist in designing POVs, GTM collateral. Travel: Willingness to travel up to 40% of the time Professional Development Skills: Project Dependent Job Qualifications Who we are looking for? 3-5 years of relevant Fraud Analytics experience at one or more Financial Services firms, or Professional Services / Risk Advisory with significant exposure to one or more of the following areas: Banking Fraud, Payment Fraud, Credit Card Fraud, Retail Fraud, Anti Money Laundering, Financial Crime, Telecom Fraud, Energy Fraud, Insurance Claims Fraud etc. Advanced skills in development and validation of fraud analytics models, strategies, visualizations. Understanding of new/ evolving methodologies/tools/technologies in the Fraud management space. Expertise in one or more domain/industry including regulations, frameworks etc. Experience in building models using AI/ML methodologies Modeling: Experience in one or more of analytical tools such as SAS, R, Python, SQL, etc. Knowledge of data processes, ETL and tools/ vendor products such as VISA AA, FICO Falcon, EWS, RSA, IBM Trusteer, SAS AML, Quantexa, Ripjar, Actimize etc. Strong conceptual knowledge and practical experience in the Development, Validation and Deployment of ML/AL models Hands-on programming experience with any of the analytics tools and visualization tools (Python, R, PySpark, SAS, SQL, PowerBI/ Tableau) Knowledge of big data, ML ops and cloud platforms (Azure/GCP/AWS) Strong written and oral communication skills Project management skills and the ability to manage multiple tasks concurrently Strong delivery experience of short and long term analytics projects Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces™.Join Accenture to work at the heart of change. Visit us at www.accenture.com Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Show more Show less

Company Profile Our client is a global IT services company that helps businesses with digital transformation with offices in India and the United States. It helps businesses with digital transformation, provide IT collaborations and uses technology, innovation, and enterprise to have a positive impact on the world of business. With expertise is in the fields of Data, IoT, AI, Cloud Infrastructure and SAP, it helps accelerate digital transformation through key practice areas - IT staffing on demand, innovation and growth by focusing on cost and problem solving. Location & work – New Delhi (On-Site), WFO Employment Type - Full Time Profile – AI/ML Engineer Preferred experience – 3-5 Years The Role: We are seeking a highly skilled AI/ML Engineer with strong expertise in traditional statistical modeling using R and end-to-end ML pipeline configuration on Databricks. The ideal candidate will play a key role in designing, developing, and deploying advanced machine learning models, optimizing performance, and ensuring scalability across large datasets on the Databricks platform. Responsibilities: Design and implement traditional ML models using R (e.g., regression, classification, clustering, time-series). Develop and maintain scalable machine learning pipelines on Databricks. Configure and manage Databricks workspaces, clusters, and MLflow integrations for model versioning and deployment. Collaborate with data engineers, analysts, and domain experts to collect, clean, and prepare data. Optimize models for performance, interpretability, and business impact. Automate data workflows and model retraining pipelines using Databricks notebooks and job scheduling. Monitor model performance in production and implement enhancements as needed. Ensure model explainability, compliance, and reproducibility in production environments. Must-Have Qualifications Bachelor's or Master's degree in Computer Science, Information Systems, or a related field. Minimum 3+ years of experience in machine learning and data science roles. Strong proficiency in R for statistical modeling and traditional ML techniques. Hands-on experience with Databricks: cluster configuration, workspace management, notebook workflows, and performance tuning. Experience with MLflow, Delta Lake, and PySpark (optional but preferred). Strong understanding of MLOps practices, model lifecycle management, and CI/CD for ML. Familiarity with cloud platforms such as Azure Databricks, AWS, or GCP. Preferred Qualification: Certification in Databricks or relevant ML/AI platforms is a plus. Excellent problem-solving and communication skills. Application Method Apply online on this portal or on email at careers@speedmart.co.in Show more Show less

A leading Software Industry in Mangalore, Karnataka is hiring- Position- Software Developer Experience-5+yrs Should have deep knowledge in React JS & Typescript Interview Mode-Virtual Notice period- 15days to Immediate joiners only Job overview- We are seeking an individual to develop Microsoft Excel plugins for a proof-of-concept initiative. This role focuses on building high-quality frontend solutions using React and TypeScript, integrating with REST APIs developed in Python, and leveraging Git for version control. The ideal candidate has strong experience with Microsoft Office add-ins and a solid foundation in software engineering. Responsibilities 1.Design and develop Microsoft Excel plugins using React, TypeScript, and Office.js for seamless integration. 2.Build and integrate with REST APIs developed in Python to support plugin functionality. 3.Utilize Git for version control, maintaining clean commit histories and collaborating via pull requests. 4.Ensure code quality through modular, testable implementations and effective debugging. 5.Collaborate with backend teams to align frontend components with Python-based microservices. 6.Contribute to the proof-of-concept phase, delivering functional and performant solutions. Required Skills and Qualifications 1.Expertise in React and TypeScript, with experience building production-ready frontend applications. 2.Proven experience developing Microsoft Office add-ins, particularly for Excel, using Office.js APIs and manifest files. 3.Strong knowledge of REST APIs, including designing and consuming JSON-based endpoints. 4.Proficiency in Python for developing REST APIs, preferably with frameworks like FastAPI. 5.Fluency in Git for version control, including branching, merging, and pull request workflows. 6.US-based with legal authorization to work as a contractor. Preferred Skills 1.Experience integrating AI/ML APIs or embedding AI-driven features (e.g., using Llama Index for document summarization). 2.Familiarity with cloud platforms (e.g., AWS, Azure) and containerization (e.g., Docker). 3.Knowledge of modern frontend tooling (e.g., ESLint, Prettier, Storybook, Playwright). 4.Exposure to Agile methodologies and tools like Jira or Confluence. Interested may apply or reach me @ 9663596871 Job Types: Full-time, Fresher Pay: Up to ₹2,000,000.00 per year Benefits: Health insurance Leave encashment Paid sick time Paid time off Provident Fund Schedule: Day shift Supplemental Pay: Yearly bonus Experience: React JS: 5 years (Preferred) Work Location: In person

Hiring for top Unicorns & Soonicorns of India! We’re looking for a Machine Learning Engineer who thrives at the intersection of data, technology, and impact. You’ll be part of a fast-paced team that leverages ML/AI to personalize learning journeys, optimize admissions, and drive better student outcomes. This role is ideal for someone who enjoys building scalable models and deploying them in production to solve real-world problems. What You’ll Do Build and deploy ML models to power intelligent features across the Masai platform — from admissions intelligence to student performance prediction. Collaborate with product, engineering, and data teams to identify opportunities for ML-driven improvements. Clean, process, and analyze large-scale datasets to derive insights and train models. Design A/B tests and evaluate model performance using robust statistical methods. Continuously iterate on models based on feedback, model drift, and changing business needs. Maintain and scale the ML infrastructure to ensure smooth production deployments and monitoring. What We’re Looking For 2–4 years of experience as a Machine Learning Engineer or Data Scientist. Strong grasp of supervised, unsupervised, and deep learning techniques. Proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch, etc.). Experience with data wrangling tools like Pandas, NumPy, and SQL. Familiarity with model deployment tools like Flask, FastAPI, or MLflow. Experience working with cloud platforms (AWS/GCP/Azure) and containerization (Docker/Kubernetes) is a plus. Ability to translate business problems into machine learning problems and communicate solutions clearly. Bonus If You Have Experience working in EdTech or with personalized learning systems. Prior exposure to NLP, recommendation systems, or predictive modeling in a consumer-facing product. Contributions to open-source ML projects or publications in the space. Skills: machine learning,flask,python,scikit-learn,tensorflow,pytorch,azure,sql,pandas,models,docker,mlflow,data analysis,aws,kubernetes,ml,artificial intelligence,fastapi,gcp,numpy Show more Show less

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority. Roles & Responsibilities: -Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals. -Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services. -Optimizing existing generative AI models for improved performance, scalability, and efficiency. -Ensure data quality and accuracy -Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models. -Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models. -Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers -Experience working with cloud based platforms (example: AWS, Azure or related) -Strong problem-solving and analytical skills -Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI -Prior statistical modelling experience -Demonstrable experience with deep learning algorithms and neural networks -Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders. -Contributing to the establishment of best practices and standards for generative AI development within the organization. Professional & Technical Skills: -Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. -Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras. -Must have strong knowledge of data structures, algorithms, and software engineering principles. -Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure. -Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face. -Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly. -Need to have knowledge of software development methodologies, such as Agile or Scrum. -Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Additional Information: -Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable. -strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. -You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Show more Show less

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Qualifications Bachelor’s or master’s degree in Engineering, Data Science, Computer Science, Mathematics, Physics, or equivalent. Regardless of degree, some additional informative experience in Data Science is strongly preferred. 5+ years of experience in management or senior-level data scientist / engineering positions. Experience in semiconductor industry preferred. Experience in the memory industry and/or product engineering is highly desirable. Preferred Skills Experience leading and managing teams including employee development, performance management, and fostering a collaborative, positive work environment. Proven project management skills. Ability to design and coordinate projects across multiple departments globally. Experience developing and deploying data science solutions including data engineering, application of Machine Learning algorithms, UI/UX, and ML Ops. Proficient in Python and/or R. Excellent written and verbal English-language communication and presentation skills. Ability to execute requests with strong attention to detail and time-management skills. Ability to build strong interpersonal relationships, and a passion to teach others about data science and continue to learn new techniques. About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_india@micron.com Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. Show more Show less

The future of open source AI starts with you. At Red Hat, we’re looking for engineers who want to become an integral part of democratizing Al technology, making open source AI available and accessible to all. Al Engineering is a newly formed team where you'll have the scope and impact to make your mark and get your ideas into people's hands. Red Hat's open culture fosters collaboration and allows the best ideas to grow. You will have the opportunity to actively participate in communities like KServe, Kubeflow, and VLLM, and be part of a team that values and expects contributions from all levels. Here, you'll have freedom to innovate, and to focus on challenging, high-impact work that makes a difference. We’re looking for Machine Learning Engineers across two teams: InstructLab and OpenShift AI. In this role, you will build, optimize, and scale machine learning models while contributing to innovative AI-driven solutions, and assisting users in understanding ML predictions. During the hiring process, we'll work with you to determine the best team placement based on your background and interests. While the core job requirements remain consistent, your day-to-day responsibilities will align with your chosen team's objectives. Successful applicants must reside in a country where Red Hat is registered to do business. What You Will Do Specific responsibilities will vary based on team placement, but may include: Design and implement machine learning systems Develop and optimize ML models for production use Create and maintain ML infrastructure and pipelines Ensure ML systems are scalable and maintainable Collaborate with data scientists to productionize models Collaborate closely with researchers, software developers, and upstream AI/ML communities What You Will Bring Experience in AI development, deep learning, machine learning libraries (e.g. pytorch, scikit-learn), prompt engineering, and/or fundamental mathematics Experience in feature engineering Experience in Go or Python development Experience in Kubernetes, OpenShift, Docker, or other cloud-native technologies Experience in agile development, Jira, and Git Ability to quickly learn and use new tools and technologies Excellent written and verbal communication skills #AI-HIRING About Red Hat Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact. Inclusion at Red Hat Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village. Equal Opportunity Policy (EEO) Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law. Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee. Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply. Show more Show less

Artificial Intelligence & Machine Learning Intern 📍 Location: Remote (100% Virtual) 📅 Duration: 3 Months 💸 Stipend for Top Interns: ₹15,000 🎁 Perks: Certificate | Letter of Recommendation | Full-Time Offer (Based on Performance) About INLIGHN TECH INLIGHN TECH is a forward-thinking edtech startup offering project-driven virtual internships that prepare students for today’s competitive tech landscape. Our AI & ML Internship is designed to immerse you in real-world applications of machine learning and artificial intelligence, helping you develop job-ready skills through hands-on projects. 🚀 Internship Overview As an AI & ML Intern , you will explore machine learning algorithms, build predictive models, and work on projects that mimic real-world use cases—ranging from recommendation systems to AI-based automation tools. You’ll gain experience with Python, Scikit-learn, TensorFlow , and more. 🔧 Key Responsibilities Work on datasets to clean, preprocess, and prepare for model training Implement machine learning algorithms (regression, classification, clustering, etc.) Build and test models using Scikit-learn, TensorFlow, Keras , or PyTorch Analyze model performance and optimize using evaluation metrics Collaborate with mentors to develop AI solutions for business or academic use cases Present findings and document all steps of the model-building process ✅ Qualifications Pursuing or recently completed a degree in Computer Science, Data Science, AI/ML, or related fields Proficient in Python and familiar with data science libraries (NumPy, Pandas, Matplotlib) Basic understanding of machine learning concepts and algorithms Experience with tools like Jupyter Notebook , Google Colab , or similar platforms Strong analytical mindset and interest in solving real-world problems using AI Enthusiastic about learning and exploring new technologies 🎓 What You’ll Gain Hands-on experience with real-world AI and ML projects Exposure to end-to-end model development workflows A strong project portfolio to showcase your skills Internship Certificate upon successful completion Letter of Recommendation for high-performing interns Opportunity for a Full-Time Offer based on performance Show more Show less

CloudEagle helps finance,operations & IT teams save on software spend and helps streamline the renewal and buying process. We have helped several companies like Iceye, Wefunder, Armory save 10-30% on their software spend and hundreds of hours renewing and buying apps. We offer a money-back guarantee, in the rare case that we are not able to save on spend, we refund our fees back to the customer. Recognized by Gartner as one of the most innovative AI/ML players in the SaaS management space and a Leader in Innovation & Platform Play by GigaOm, CloudEagle is seeking a motivated and results-driven Sales Account Executive. In this role, you will manage the full sales cycle, build strong client relationships, and drive revenue growth by delivering value-driven solutions to our customers. ( Website ) Location- Permanent work from home Job Brief We’re looking for an experienced Engineering Manager to join our team of innovators who are constantly pushing the boundaries of user experience and technical excellence. The ideal candidate should have a strong technical background (preferably in Java), and be comfortable leading and mentoring a team while also being hands-on when needed. They will play a key role in the design, development, and scaling of mission-critical applications, systems, and infrastructure, while fostering a culture of ownership, collaboration, and high performance. Responsibilities Manage, design, execute and take complete responsibility for the delivery and maintenance of software projects/products Help the team translate the business requirements into R&D tasks Work with business groups to outline project deliverables and manage the roadmap of the R&D tasks Work with Technical Relationship managers to understand the client initiated R&D requests Act as a point of contact for managing and driving production defects to resolution Tailor processes to help manage time-sensitive issues and bring them to appropriate closure Engage and manage team of highly talented technologists, and aid in them grow professionally with regular mentoring Requirements 10+ years of experience in software engineering, with at least 3+ years in Engineering Management roles. Strong knowledge of modern software development practices, programming languages (e.g., Java, Python, JavaScript, etc.), cloud technologies, multi-tenant environments and software architecture patterns. Familiarity with microservices and distributed systems is a plus. Passion for understanding and solving customer problems. Experience in integrating customer feedback into the development process. Proven ability to lead and inspire teams, managing diverse personalities and fostering an inclusive, collaborative work culture. Deep organizational capabilities, especially in regards to influence, collaboration and communication. Excellent communication skills, with the ability to clearly convey technical concepts in a simple, precise and effective manner and advocate for customer needs. Experience working in agile environments, daily standups, ideally with a solid understanding of Kanban methodologies. Strong analytical and problem-solving skills, with a focus on making data-driven decisions that benefit both the customer and the business. Experience in the Identity space is a definite plus. Experience in working in a similar Customer Centric Engineering role is a plus. Skills Engineering Management Kanban Java Python Analytical Skills Education Master's Degree(Good to have) Bachelor's Degree Show more Show less

About the company RENXO Technologies is a fast-growing startup building cutting-edge technology solutions across industries — from AI-powered systems to intelligent automation and immersive apps. We're passionate about innovation and creating solutions that make a real difference. As we scale up, we’re inviting motivated Software Development Interns to join our dynamic teams. This is a hands-on opportunity to contribute to live projects and core product development. You’ll work closely with experienced engineers and architects in a fast-paced, learning-rich environment. If you’re passionate about technology — whether it's writing AI models, programming microcontrollers, building mobile apps, designing intuitive web interfaces, or creating scalable, cloud-native backends — we want you on our team! Internship Tracks Please indicate your preferred area(s) of interest when applying: 1. AI/ML & Generative AI Develop ML and DL models for real-world applications. Work with large language models (LLMs), embeddings, vector databases, NLP, and GenAI tools. Build computer vision pipelines using OpenCV, YOLO, OCR, or pose estimation. Work on data analytics, prediction, prioritization, and optimization solutions. Exposure to HuggingFace, LangChain, PyTorch, or TensorFlow is a plus. 2. Embedded & Edge Development Work on low-level embedded systems using C, MicroPython, or CircuitPython. Develop firmware for sensors, controllers, and custom hardware on ESP32, Arduino, Raspberry Pi, or STM32. Interface with peripherals, and optimize power, memory, and timing. Exposure to real-time systems and protocols like I2C, SPI, UART, or CAN is a bonus. 3. Backend Development (Golang/Python) Design and develop scalable backend services and REST APIs. Work with databases (NoSQL and SQL) and cloud platforms. Implement CI/CD pipelines, logging, monitoring, and authentication systems. Collaborate closely with frontend and AI teams to deliver end-to-end features. 4. Mobile App Development (Android/iOS) Build mobile applications using Kotlin, SwiftUI, or Flutter. Translate Figma designs into high-performance mobile experiences. Integrate REST APIs, handle local storage, and optimize responsiveness. Learn best practices in app lifecycle management, performance tuning, and security. 5. Frontend & Web Development (SvelteKit) Build modern, responsive UIs using SvelteKit and TailwindCSS. Connect frontend with backend and AI services via APIs and WebSockets. Implement clean UX flows, animations, and state management. Work on admin panels, dashboards, and client-facing applications. Build Progressive Web Apps (PWAs) for mobile. 6. Game & 3D Development (Unity) Build interactive 3D views for business and consumer apps. Contribute to multiplayer game development: implement gameplay mechanics, animations, audio, and AI behaviors. Explore Unity’s physics, networking, and UI systems. Develop rapid prototypes or simulation tools for internal or client use. Responsibilities Contribute code to live customer projects and core product features. Work with and learn from senior developers and architects. Collaborate with cross-functional teams using hybrid-agile workflows. Learn and implement development best practices, tools, and patterns. Continuously explore new technologies and contribute ideas. Basic Qualifications Currently pursuing or recently completed a Bachelor’s degree in CS, IT, ECE, or a related field. Good problem-solving ability and a genuine curiosity for learning. Basic knowledge of programming languages such as Python, Go, C/C++/C#, Kotlin, Dart, Swift, or JavaScript. Understanding of software design fundamentals and version control (Git). Preferred Qualifications Personal, academic, or open-source projects in relevant fields. Familiarity with GitHub, Figma, Linux, or cloud platforms such as AWS or GCP. Prior internship, freelance, or hackathon experience. Strong communication and teamwork skills. 🚀 Why Join RENXO Technologies? Hands-on experience with real-world, cutting-edge products. Work on live customer projects and product development. Friendly, collaborative startup culture that encourages learning and ownership. Direct mentorship from senior engineers and architects. Pre-Placement Offers (PPOs) for deserving candidates. Paid internship. How to Apply Please fill out the internship application form https://forms.gle/U4C15wdUYaocZzh68 and submit it along with your resume (including links to your GitHub, portfolio, or project repositories). You may also include a short note or cover letter mentioning your areas of interest and what excites you about tech. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status. Show more Show less

Role & responsibilities Create and edit visual assets for both digital and print platforms including social media, presentations, advertisements and brochures Explore and apply generative AI tools to ideate, prototype or streamline the creative process Support the senior creative and marketing teams in campaign development and asset rollout Organise and maintain project files and creative assets Knowledge of animation or motion graphics Edit video content in various formats such as reels, promotional films and corporate audio visuals using Premiere Pro, Final Cut Pro or equivalent software Preferred candidate profile Proficiency in Adobe Creative Suite including Photoshop, Illustrator and InDesign (After Effects is a plus) Familiarity with generative AI tools such as Midjourney, DALL•E, Runway ML, ChatGPT and others Strong visual sense and attention to detail Self-motivated with a problem-solving mindset and a desire to grow A portfolio or showreel that reflects creative range and adaptability Desirable Extras Basic knowledge of animation or motion graphics Experience in photography, styling or social media content creation Familiarity with Canva or other rapid design tools Software Requirement Static: Adobe Illustrator, Adobe Photoshop, Adobe Indesign, CorelDraw, Gen AI Tools and more. Video: Adobe Premier Pro, Adobe After Effects, Final Cut Pro and more. Role: Creative Marketing Show more Show less