Requisition Id : 1607174 As a global leader in assurance, tax, transaction and advisory services, we hire and develop the most passionate people in their field to help build a better working world. This starts with a culture that believes in giving you the training, opportunities and creative freedom. At EY, we don't just focus on who you are now, but who you can become. We believe that it’s your career and ‘It’s yours to build’ which means potential here is limitless and we'll provide you with motivating and fulfilling experiences throughout your career to help you on the path to becoming your best professional self. The opportunity : Associate-National-SaT-SaT - TCF - Transaction Diligence - Mumbai SaT - TCF - Transaction Diligence : Strategy and Transactions enables clients to reimagine ecosystems, reshape portfolios and reinvent for a better future. Using our Capital Agenda framework, we work with clients to find answers to today’s toughest strategic, financial, operational and commercial questions. We help corporates, private equity, governments, sovereign wealth funds, private and family businesses, and educational institutions with their key financial issues. From portfolio review and capital allocation processes to financial planning analytics and decision support, we have the people, analytics and tools to better allocate capital. Our team helps clients manage their risk/return trade-offs to support them with better decision-making around financing and capital efficiency. Whether clients are preserving, optimizing, raising or investing, our Connected Capital Solutions (CCS) are our five go-to-market offerings that help drive competitive advantage and increased returns through improved decision-making. The CCS include Strategy, Corporate Finance, Buy and Integrate, Sell and Separate and Reshaping Results, and are underpinned by our Connected Capital Technologies. Our key focus areas are - Investment Banking Advisory, Valuations, Modeling and Economics, Transaction Diligence, Restructuring and Turnaround Services, Project Finance and infrastructure, EY Parthenon - Strategy and EY Parthenon - Execution. Your key responsibilities Technical Excellence Proficiency in MS Office (Excel (Advanced Excel specifically), PowerPoint) Analytical/ research oriented bent of mind Aptitude for numbers, data crunching and inference development Basic understanding of Financial statements Fluency in written and oral communication Strong Formulas Knowledge to calculate EBITDA, PBT, PAT, revenue analysis, gross margins analysis, variance analysis, net assets, net debts, net worth, working capital, how to calculate ageing in data. Skills and attributes To qualify for the role you must have Qualification Bcom Graduates Experience 0-1 year What we look for People with the ability to work in a collaborative manner to provide services across multiple client departments while following the commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. We look for people who are agile, curious, mindful and able to sustain postivie energy, while being adaptable and creative in their approach. What we offer With more than 200,000 clients, 300,000 people globally and 33,000 people in India, EY has become the strongest brand and the most attractive employer in our field, with market-leading growth over compete. Our people work side-by-side with market-leading entrepreneurs, game- changers, disruptors and visionaries. As an organisation, we are investing more time, technology and money, than ever before in skills and learning for our people. At EY, you will have a personalized Career Journey and also the chance to tap into the resources of our career frameworks to better know about your roles, skills and opportunities. EY is equally committed to being an inclusive employer and we strive to achieve the right balance for our people - enabling us to deliver excellent client service whilst allowing our people to build their career as well as focus on their wellbeing. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now. Show more Show less

Requisition Id : 1607180 As a global leader in assurance, tax, transaction and advisory services, we hire and develop the most passionate people in their field to help build a better working world. This starts with a culture that believes in giving you the training, opportunities and creative freedom. At EY, we don't just focus on who you are now, but who you can become. We believe that it’s your career and ‘It’s yours to build’ which means potential here is limitless and we'll provide you with motivating and fulfilling experiences throughout your career to help you on the path to becoming your best professional self. The opportunity : Associate-National-SaT-SaT - TCF - Transaction Diligence - Mumbai SaT - TCF - Transaction Diligence : Strategy and Transactions enables clients to reimagine ecosystems, reshape portfolios and reinvent for a better future. Using our Capital Agenda framework, we work with clients to find answers to today’s toughest strategic, financial, operational and commercial questions. We help corporates, private equity, governments, sovereign wealth funds, private and family businesses, and educational institutions with their key financial issues. From portfolio review and capital allocation processes to financial planning analytics and decision support, we have the people, analytics and tools to better allocate capital. Our team helps clients manage their risk/return trade-offs to support them with better decision-making around financing and capital efficiency. Whether clients are preserving, optimizing, raising or investing, our Connected Capital Solutions (CCS) are our five go-to-market offerings that help drive competitive advantage and increased returns through improved decision-making. The CCS include Strategy, Corporate Finance, Buy and Integrate, Sell and Separate and Reshaping Results, and are underpinned by our Connected Capital Technologies. Our key focus areas are - Investment Banking Advisory, Valuations, Modeling and Economics, Transaction Diligence, Restructuring and Turnaround Services, Project Finance and infrastructure, EY Parthenon - Strategy and EY Parthenon - Execution. Your key responsibilities Technical Excellence Proficiency in MS Office (Excel (Advanced Excel specifically), PowerPoint) Analytical/ research oriented bent of mind Aptitude for numbers, data crunching and inference development Basic understanding of Financial statements Fluency in written and oral communication Strong Formulas Knowledge to calculate EBITDA, PBT, PAT, revenue analysis, gross margins analysis, variance analysis, net assets, net debts, net worth, working capital, how to calculate ageing in data. Skills and attributes To qualify for the role you must have Qualification Bcom Graduates Experience 0-1 year What we look for People with the ability to work in a collaborative manner to provide services across multiple client departments while following the commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. We look for people who are agile, curious, mindful and able to sustain postivie energy, while being adaptable and creative in their approach. What we offer With more than 200,000 clients, 300,000 people globally and 33,000 people in India, EY has become the strongest brand and the most attractive employer in our field, with market-leading growth over compete. Our people work side-by-side with market-leading entrepreneurs, game- changers, disruptors and visionaries. As an organisation, we are investing more time, technology and money, than ever before in skills and learning for our people. At EY, you will have a personalized Career Journey and also the chance to tap into the resources of our career frameworks to better know about your roles, skills and opportunities. EY is equally committed to being an inclusive employer and we strive to achieve the right balance for our people - enabling us to deliver excellent client service whilst allowing our people to build their career as well as focus on their wellbeing. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now. Show more Show less

Requisition Id : 1607171 As a global leader in assurance, tax, transaction and advisory services, we hire and develop the most passionate people in their field to help build a better working world. This starts with a culture that believes in giving you the training, opportunities and creative freedom. At EY, we don't just focus on who you are now, but who you can become. We believe that it’s your career and ‘It’s yours to build’ which means potential here is limitless and we'll provide you with motivating and fulfilling experiences throughout your career to help you on the path to becoming your best professional self. The opportunity : Associate-National-SaT-SaT - TCF - Transaction Diligence - Mumbai SaT - TCF - Transaction Diligence : Strategy and Transactions enables clients to reimagine ecosystems, reshape portfolios and reinvent for a better future. Using our Capital Agenda framework, we work with clients to find answers to today’s toughest strategic, financial, operational and commercial questions. We help corporates, private equity, governments, sovereign wealth funds, private and family businesses, and educational institutions with their key financial issues. From portfolio review and capital allocation processes to financial planning analytics and decision support, we have the people, analytics and tools to better allocate capital. Our team helps clients manage their risk/return trade-offs to support them with better decision-making around financing and capital efficiency. Whether clients are preserving, optimizing, raising or investing, our Connected Capital Solutions (CCS) are our five go-to-market offerings that help drive competitive advantage and increased returns through improved decision-making. The CCS include Strategy, Corporate Finance, Buy and Integrate, Sell and Separate and Reshaping Results, and are underpinned by our Connected Capital Technologies. Our key focus areas are - Investment Banking Advisory, Valuations, Modeling and Economics, Transaction Diligence, Restructuring and Turnaround Services, Project Finance and infrastructure, EY Parthenon - Strategy and EY Parthenon - Execution. Your key responsibilities Technical Excellence Proficiency in MS Office (Excel (Advanced Excel specifically), PowerPoint) Analytical/ research oriented bent of mind Aptitude for numbers, data crunching and inference development Basic understanding of Financial statements Fluency in written and oral communication Strong Formulas Knowledge to calculate EBITDA, PBT, PAT, revenue analysis, gross margins analysis, variance analysis, net assets, net debts, net worth, working capital, how to calculate ageing in data. Skills and attributes To qualify for the role you must have Qualification Bcom Graduates Experience 0-1 year What we look for People with the ability to work in a collaborative manner to provide services across multiple client departments while following the commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. We look for people who are agile, curious, mindful and able to sustain postivie energy, while being adaptable and creative in their approach. What we offer With more than 200,000 clients, 300,000 people globally and 33,000 people in India, EY has become the strongest brand and the most attractive employer in our field, with market-leading growth over compete. Our people work side-by-side with market-leading entrepreneurs, game- changers, disruptors and visionaries. As an organisation, we are investing more time, technology and money, than ever before in skills and learning for our people. At EY, you will have a personalized Career Journey and also the chance to tap into the resources of our career frameworks to better know about your roles, skills and opportunities. EY is equally committed to being an inclusive employer and we strive to achieve the right balance for our people - enabling us to deliver excellent client service whilst allowing our people to build their career as well as focus on their wellbeing. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now. Show more Show less

Requisition Id : 1607172 As a global leader in assurance, tax, transaction and advisory services, we hire and develop the most passionate people in their field to help build a better working world. This starts with a culture that believes in giving you the training, opportunities and creative freedom. At EY, we don't just focus on who you are now, but who you can become. We believe that it’s your career and ‘It’s yours to build’ which means potential here is limitless and we'll provide you with motivating and fulfilling experiences throughout your career to help you on the path to becoming your best professional self. The opportunity : Associate-National-SaT-SaT - TCF - Transaction Diligence - Mumbai SaT - TCF - Transaction Diligence : Strategy and Transactions enables clients to reimagine ecosystems, reshape portfolios and reinvent for a better future. Using our Capital Agenda framework, we work with clients to find answers to today’s toughest strategic, financial, operational and commercial questions. We help corporates, private equity, governments, sovereign wealth funds, private and family businesses, and educational institutions with their key financial issues. From portfolio review and capital allocation processes to financial planning analytics and decision support, we have the people, analytics and tools to better allocate capital. Our team helps clients manage their risk/return trade-offs to support them with better decision-making around financing and capital efficiency. Whether clients are preserving, optimizing, raising or investing, our Connected Capital Solutions (CCS) are our five go-to-market offerings that help drive competitive advantage and increased returns through improved decision-making. The CCS include Strategy, Corporate Finance, Buy and Integrate, Sell and Separate and Reshaping Results, and are underpinned by our Connected Capital Technologies. Our key focus areas are - Investment Banking Advisory, Valuations, Modeling and Economics, Transaction Diligence, Restructuring and Turnaround Services, Project Finance and infrastructure, EY Parthenon - Strategy and EY Parthenon - Execution. Your key responsibilities Technical Excellence Proficiency in MS Office (Excel (Advanced Excel specifically), PowerPoint) Analytical/ research oriented bent of mind Aptitude for numbers, data crunching and inference development Basic understanding of Financial statements Fluency in written and oral communication Strong Formulas Knowledge to calculate EBITDA, PBT, PAT, revenue analysis, gross margins analysis, variance analysis, net assets, net debts, net worth, working capital, how to calculate ageing in data. Skills and attributes To qualify for the role you must have Qualification Bcom Graduates Experience 0-1 year What we look for People with the ability to work in a collaborative manner to provide services across multiple client departments while following the commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. We look for people who are agile, curious, mindful and able to sustain postivie energy, while being adaptable and creative in their approach. What we offer With more than 200,000 clients, 300,000 people globally and 33,000 people in India, EY has become the strongest brand and the most attractive employer in our field, with market-leading growth over compete. Our people work side-by-side with market-leading entrepreneurs, game- changers, disruptors and visionaries. As an organisation, we are investing more time, technology and money, than ever before in skills and learning for our people. At EY, you will have a personalized Career Journey and also the chance to tap into the resources of our career frameworks to better know about your roles, skills and opportunities. EY is equally committed to being an inclusive employer and we strive to achieve the right balance for our people - enabling us to deliver excellent client service whilst allowing our people to build their career as well as focus on their wellbeing. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now. Show more Show less

Description We are looking for a Senior Software Development Engineer with established experience in architecting, designing and developing complete technical solutions for complex, ambiguous situations and requirements that has significant business value. Hands on experience in building scalable and extensible web services, using right AWS / cloud technologies and applying appropriate Machine learning techniques is preferred. If you are a fast learner with strong technical skills and motivation to achieve results in a fast-paced environment with high creativity and great analytical reasoning skills, you would love our team and the challenges we take forward. We are part of the Digital Acceleration organization that owns services that support cataloging, publishing, promoting, marketing, purchasing and payments for Digital businesses that includes, but not limited to, Kindle EBooks, Amazon AppStore, Amazon Music, Amazon Prime Video, Amazon Alexa and Audible. Rest assured your work will be highly impactful and visible to Amazon customers and internal stakeholders. We are working on highly ambitious transformation of our services to automate information extraction using Computer Vision and Machine Learning techniques from structured and unstructured content. We will also build new services to enrich catalog metadata using automated inference of descriptive texts, inappropriate metadata identification and augmentation with external data and signals. A day in the life You advice Software Development Managers, Sr. Software Managers, Product Managers and other Engineers on product architecture and technical solves. You provide the architectural and technical vision for the Product / Service and lead the team technically towards the vision. You evaluate multiple technical choices and make right trade-off between short term needs and long term requirements. You mentor team members and raise the bar on high standards with your reviews of their artifacts. You are hands-on and take up development of complex pieces of the architecture and write exemplary code that raises the bar on coding standards and best practices. Basic Qualifications 5+ years of non-internship professional software development experience 5+ years of programming with at least one software programming language experience 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience as a mentor, tech lead or leading an engineering team Preferred Qualifications 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalent Company - ADCI MAA 15 SEZ Job ID: A2674948 Show more Show less

Principal Data Science Manager Hyderabad, Telangana, India Date posted Apr 17, 2025 Job number 1819369 Work site Microsoft on-site only Travel 0-25 % Role type People Manager Profession Research, Applied, & Data Sciences Discipline Data Science Employment type Full-Time Overview Are you an experienced Principal Data Science Manager , with a relentless passion for data and analytics and a desire to drive future products via key data insights? Do you love managing and mentoring other Data scientists, analysts and Data engineers to achieve critical business goals? Does the thought of being able to influence the product in each stage of the lifecycle through insights & predictions excite you? Do you love measuring, understanding, and predicting based on real-world user data to come up with insights that drive experiments and recommendations to help move business metrics? If so, we want to talk to you! We are the Data & Applied Sciences team for Windows at Hyderabad, India. We work across various Windows products with the goal of using advanced analytics & data science to inform decision making, drive product performance and maximize business impact through the power of Data. In short, we thrive on data to solve high impact business problems for Windows! We're looking for an enthusiastic, hands-on and expert Principal Data Scientist Manager, to help us generate and deliver insights and recommendations through data for experiences running on 1.3 billion Windows devices. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Qualifications Required Qualifications Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. 5+ years of experience as a lead, including mentoring and growing junior data scientists & analysts. 10+ years of experience as a practicing Data Scientist. Exceptional teamwork and values that foster a positive team culture. Experience in collaborating with teams across different time zones and geographies. Experience with EDA, Inference analysis, Predictive analysis (Regression, Classification etc.,) and forecasting. Experience with Experiment Design and analysis. Experience in one or more programming languages, preferably C#, Python or Java. Experience in mentoring less experienced data engineers and helping to set a positive team culture. Ability to learn and work effectively in a highly ambiguous, rapidly evolving environment Demonstrated partnership, collaboration, and interpersonal skills. Excellent oral and written communication skills and ability to "tell compelling stories" through data. Preferred Qualifications Experience with Big Data technologies like Spark, Hadoop or other open- source technologies or SCOPE/COSMOS or U-SQL/ADL. A proven track record of demonstrated leadership in complex areas, through critical thinking, thought leadership, technical skills and relentless drive for progress. #W+Djobs #Windows, #Windows India, #Data Science Responsibilities As an experienced Data Scientist Manager, you will take on the most complex problems and guide the rest of the team in their efforts, helping them formulate approaches to solve challenging problems and discover new opportunities using well-defined algorithms and data sources in context of customer, engineering, and business needs. Your responsibilities will include working closely with a variety of teams such as Engineering, Product Management, Design and application partners to understand the key business questions for customer-facing scenarios, to set up the key performance indicators, deeply analyze the data to identify insights and experiment ideas that moves our business metrics. We will be looking to you to help evaluate the return of investments on new ideas, to assess if investments are meeting customer and business promises, to design and assess experiments, to measure growth and to derive insights that help identify next wave of opportunities and problems to be solved. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.  Industry leading healthcare  Educational resources  Discounts on products and services  Savings and investments  Maternity and paternity leave  Generous time away  Giving programs  Opportunities to network and connect Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Develop ML models, platforms, and services for Adobe Express, covering the entire ML lifecycle. About the Team The AI Foundation Team at Adobe Express aims to develop a groundbreaking AI stack using internal and external technologies to improve feature speed and quality. Develop ML models and services, collaborate with teams, improve user experience at Adobe Express. What You'll Do Research, design, and implement advanced ML models and pipelines for training and inference at scale, including techniques in computer vision, NLP, deep learning, and generative AI. Integrate Large Language Models (LLMs) and agent-based frameworks to support multimodal creative workflows, enabling rich, context-aware content generation and dynamic user experiences. Collaborate with multi-functional teams to translate product requirements into ML solutions, iterating from proof-of-concept to fully productionized services. Develop robust platforms for continuous model training, experimentation, A/B testing, and monitoring, ensuring that model quality and relevance remain consistently high. Leverage distributed computing technologies and cloud infrastructures to handle large-scale data processing, feature engineering, and real-time inference, optimizing for performance and cost-efficiency. Implement reliable APIs and microservices that serve ML models to end users, ensuring alignment to standard methodologies in security, compliance, scalability, and maintainability. Stay ahead of emerging ML research, tools, and frameworks, evaluating and integrating new technologies such as sophisticated LLMs, reinforcement learning-based agents, and innovative inference optimization techniques. In the near future, we will expand the model coverage to include more creative tasks. We will also improve the model architectures to achieve better latency and accuracy. Additionally, we will integrate federated learning or domain adaptation strategies to reach diverse audiences. Basic Qualifications: PhD or Master’s or Bachelor’s in Computer Science or equivalent experience, ML, Applied Mathematics, Data Science, or a related technical field. 14+years of industry experience. Proficiency in Python and Java for ML model development and systems integration. Hands-on experience with deep learning frameworks, including TensorFlow and PyTorch. Demonstrated experience working with LLMs and agent frameworks to develop advanced AI-based experiences. Proficiency in computer vision and NLP techniques for multimodal content understanding and generation. Work experience in Creative Domains, Imaging Domains will be highly useful. Experience in developing and deploying RESTful web services and microservices architectures for applications involving ML. Proficiency with UNIX environments, Git for version control, and Jenkins for CI/CD processes. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.

About Us: Senior Data Scientist – Kotak811 Kotak811 is a Neobank incubated by Kotak Mahindra Bank, with a view of providing completely digitized banking services in the convenience of the customer’s mobile phone. 811 is an early mover in the Indian fintech space that started off as a downloadable savings bank account in 2017, post demonetization, when India took one step closer to a digital economy. The Senior Data Scientist in Bangalore (or Mumbai) will be part of the 811 Data Strategy Group that comprises Data Engineers, Data Scientists and Data Analytics professionals. He/she will be associated with one of the key functional areas such as Product Strategy, Cross Sell, Asset Risk, Fraud Risk, Customer Experience etc. and help build robust and scalable solutions that are deployed for real time or near real time consumption and integrated into our proprietary Customer Data Platform (CDP). This is an exciting opportunity to work on data driven analytical solutions and have a profound influence on the growth trajectory of a super fast evolving digital product. Key Requirements of The Role Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis) or substantial hands on work experience in the space 4 - 8 Years of relevant experience in the space Expertise in mining AI/ML opportunities from open ended business problems and drive solution design/development while closely collaborating with engineering, product and business teams Strong understanding of advanced data mining techniques, curating, processing and transforming data to produce sound datasets Create great data stories with expertise in robust EDA and statistical inference. Experience in Experimentation design a big plus but should understands fundamentals of A/B testing Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop. Exposure to Deep Learning applications and tools like TensorFlow, Theano, Torch, Caffe is a big plus Experience with analytical programming languages, tools and libraries (Python a must) as well as Shell scripting Very proficient is SQL and other relational databases. Proficient in PySpark. Experience in using NoSQL databases. Candidate who is able to handle unstructured data with ease preferred Experience in working with AWS/Azure/GCP ecosystems. MLOps tools experience a plus Good understanding of programming best practices and building code artifacts for reuse. Should be comfortable with version controlling and collaborate comfortably in tools like git Ability to create frameworks that can perform model RCAs using analytical and interpretability tools. Should be able to peer review model documentations/code bases and find opportunities Experience in end-to-end delivery of AI driven Solutions (Deep learning , traditional data science projects) a big plus Strong communication, partnership and teamwork skills Ability to work in an extremely fast paced environment, meet deadlines, and perform at high standards with limited supervision A self-starter who is looking to build grounds up and contribute to the making of a potential big name in the space Experience in Banking and financial services is a plus. However, sound logical reasoning and first principles problem solving are even more critical A typical day in the life of the job role: 1. As a key partner at the table, attend key meetings with the business team to bring in the data perspective to the discussions 2. Perform comprehensive data explorations around to generate inquisitive insights and scope out the problem 3. Develop simplistic to advanced solutions to address the problem at hand. We believe in making swift (albeit sometimes marginal) impact to business KPIs and hence adopt an MVP approach to solution development 4. Build re-usable code analytical frameworks to address commonly occurring business questions 5. Perform 360-degree customer profiling and opportunity analyses to guide new product strategy. This is a nascent business and hence opportunities to guide business strategy are plenty 6. Guide team members on data science and analytics best practices to help them overcome bottlenecks and challenges 7. The role will be an approximate 60% IC – 40% leading and the ratios can vary basis need and fit 8. Develop Customer-360 Features that will be integrated into the Customer Data Platform (CDP) to enhance the single view of our customer Website: https://www.kotak811.com/

We are seeking a Principal Applied Scientist to lead the design, training, optimization, and deployment of large-scale AI models, including LLMs and agentic systems for advertising. This role focuses on scalable model architectures, efficient inference, and agentic capabilities that drive high-impact ad solutions. As a technical leader, you will shape strategic AI initiatives in ad retrieval, creative generation, relevance, and safety, while advancing the frontier of scalable and agent-driven AI systems. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Lead the design and training of LLMs and agentic models at large scale, driving core advertising scenarios such as retrieval, generation, personalization, and safety. Innovate on model architectures, distributed training strategies, and system optimizations to ensure scalable and efficient production deployment. Develop and implement high-performance inference strategies, reducing latency and computational overhead while maintaining model quality. Partner with product and engineering leaders to integrate AI solutions seamlessly into Microsoft Ads’ global platform. Foster a culture of technical excellence, mentorship, and collaboration across teams and functions. Contribute to Microsoft’s AI research ecosystem by publishing, patenting innovations. Qualifications Required Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. Solid hands-on experience in designing and deploying LLMs or foundation models at large scale. Deep understanding of transformer architectures, distributed training, and model optimization for production environments. Expertise in high-performance inference techniques for latency-critical applications. Solid programming skills in Python, C++, and familiarity with PyTorch, TensorFlow, and distributed systems. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Preferred Qualifications: Experience in agentic modeling, including reinforcement learning, multi-agent systems. #MicrosoftAI Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

About Us: Data Scientist – 3 – Kotak811 Kotak811 is a Neobank incubated by Kotak Mahindra Bank, with a view of providing completely digitized banking services in the convenience of the customer’s mobile phone. 811 is an early mover in the Indian fintech space that started off as a downloadable savings bank account in 2017, post demonetization, when India took one step closer to a digital economy. The Data Scientist-3 in Bangalore (or Mumbai) will be part of the 811 Data Strategy Group that comprises Data Engineers, Data Scientists and Data Analytics professionals. He/she will be associated with one of the key functional areas such as Product Strategy, Cross Sell, Asset Risk, Fraud Risk, Customer Experience etc. and help build robust and scalable solutions that are deployed for real time or near real time consumption and integrated into our proprietary Customer Data Platform (CDP). This is an exciting opportunity to work on data driven analytical solutions and have a profound influence on the growth trajectory of a super fast evolving digital product. Key Requirements of The Role Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis) or substantial hands on work experience in the space 7 - 10 Years of relevant experience in the space Expertise in mining AI/ML opportunities from open ended business problems and drive solution design/development while closely collaborating with engineering, product and business teams Strong understanding of advanced data mining techniques, curating, processing and transforming data to produce sound datasets. Strong experience in NLP, time series forecasting and recommendation engines preferred Create great data stories with expertise in robust EDA and statistical inference. Should have at least a foundational understanding in Experimentation design Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop. Exposure to Deep Learning applications and tools like TensorFlow, Theano, Torch, Caffe preferred Experience with analytical programming languages, tools and libraries (Python a must) as well as Shell scripting. Should be proficient in developing production ready code as per best practices. Experience in using Scala/Java/Go based libraries a big plus Very proficient is SQL and other relational databases along with PySpark or Spark SQL. Proficient is using NoSQL databases. Experience in using GraphDBs like Neo4j a plus. Candidate should be able to handle unstructured data with ease. Candidate should have experience in working with MLEs and be proficient (with experience) in using MLOps tools. Should be able to consume the capabilities of said tools with deep understanding of deployment lifecycle. Experience in CI/CD deployment is a big plus. Knowledge of key concepts in distributed systems like replication, serialization, concurrency control etc. a big plus Good understanding of programming best practices and building code artifacts for reuse. Should be comfortable with version controlling and collaborate comfortably in tools like git Ability to create frameworks that can perform model RCAs using analytical and interpretability tools. Should be able to peer review model documentations/code bases and find opportunities Experience in end-to-end delivery of AI driven Solutions (Deep learning , traditional data science projects) Strong communication, partnership and teamwork skills Should be able to guide and mentor teams while leading them by example. Should be an integral part of creating a team culture focused on driving collaboration, technical expertise and partnerships with other teams Ability to work in an extremely fast paced environment, meet deadlines, and perform at high standards with limited supervision A self-starter who is looking to build grounds up and contribute to the making of a potential big name in the space Experience in Banking and financial services is a plus. However, sound logical reasoning and first principles problem solving are even more critical A typical day in the life of the job role: 1. As a key partner at the table, attend key meetings with the business team to bring in the data perspective to the discussions 2. Perform comprehensive data explorations around to generate inquisitive insights and scope out the problem 3. Develop simplistic to advanced solutions to address the problem at hand. We believe in making swift (albeit sometimes marginal) impact to business KPIs and hence adopt an MVP approach to solution development 4. Build re-usable code analytical frameworks to address commonly occurring business questions 5. Perform 360-degree customer profiling and opportunity analyses to guide new product strategy. This is a nascent business and hence opportunities to guide business strategy are plenty 6. Guide team members on data science and analytics best practices to help them overcome bottlenecks and challenges 7. The role will be an approximate 60% IC – 40% leading and the ratios can vary basis need and fit 8. Develop Customer-360 Features that will be integrated into the Customer Data Platform (CDP) to enhance the single view of our customer Website: https://www.kotak811.com/

Location: Remote Employment Type: Full-time Experience: 3+ years Job Summary We are looking for an experienced AI/ML Engineer to research, develop, and optimize AI language models for text generation and semantic search. The ideal candidate will work on embedding models, inference optimization, and distributed AI training while ensuring performance, security, and scalability in an on-premise or cloud environment. Key Responsibilities � Research, develop, and fine-tune AI language models for text generation. � Implement and optimize embedding models for semantic search and retrieval. � Work on distributed model training and inference optimization for efficient performance. � Collaborate with backend engineers to integrate AI models into the application. � Ensure AI model security, performance, and scalability in on-premise and cloud deployments. Requirements Hands-on experience with Generative AI and LLM (Large Language Models). Experience in setting up on-premises systems for LLM solutions. Exposure to voice-enabled Chatbot is mandatory. � Strong knowledge of Natural Language Processing (NLP), deep learning, and machine learning. � Experience with AI frameworks like TensorFlow, PyTorch, or similar. � Hands-on experience with vector databases (Elasticsearch, Weaviate, Milvus, FAISS). � Proficiency in deploying AI models using Docker, Kubernetes, and CI/CD pipelines. � Familiarity with RAG-based AI solutions, LangChain, LlamaIndex is a plus. � Bachelor//'s/Master//'s degree in Computer Science, AI, Machine Learning, or a related field

Job Description We are currently looking to hire a highly motivated Data Scientist who has the hunger to solve our complex technical and business challenges. If you want to be part of our journey and make an impact. Apply now! YOUR ROLE AT SIXT You will build and maintain robust ETL pipelines for collecting and processing data related to pricing, competitors, and ancillary products You perform deep exploratory data analysis to uncover trends and insights You generate clean, aggregated datasets to support reporting and dashboards You will collaborate with cross-functional teams to define data requirements and deliver actionable insights You will apply basic statistical models to forecast or explain pricing and customer behaviour You create clear, concise visualizations to communicate findings to stakeholders YOUR SKILLS MATTER B.Tech/B.E/ Master’s Degree in Computer Science or similar discipline You have 1-3 years of relevant experience in data engineering or data science Programming : Proficiency in Python and Pandas for data manipulation and analysis ETL Development : Experience designing and implementing ETL pipelines, including data cleaning, aggregation, and transformation Workflow Orchestration : Hands-on with Airflow for scheduling and monitoring ETL jobs Cloud & Serverless Computing : Exposure to AWS services such as Batch, Fargate, and Lambda for scalable data processing Containerization : Familiarity with Docker for building and deploying reproducible environments EDA & Visualization : Strong exploratory data analysis skills and ability to communicate insights using data visualization libraries (e.g., Matplotlib, Seaborn, Plotly) Basic Predictive Modelling : Understanding of foundational machine learning techniques for inference and reporting Good communication skills WHAT WE OFFER Cutting-Edge Tech: You Will be part of a dynamic tech-driven environment where innovation meets impact! We offer exciting challenges, cutting-edge technologies, and the opportunity to work with brilliant minds Competitive Compensation: A market-leading salary with performance-based rewards Comprehensive Benefits: Health insurance, wellness programs, and generous leave policies Flexibility & Work-Life Balance: Our culture fosters continuous learning, collaboration, and flexibility, ensuring you grow while making a real difference. Hybrid Work policies Additional Information About the department: Engineers take note: cutting edge technology is waiting for you! We don't buy, we primarily do it all ourselves: all core systems, whether in the area of car sharing, car rental, ride hailing and much more, are developed and operated by SIXT itself. Our technical scope ranges from cloud and on-site operations through agile software development. We rely on state-of-the-art frameworks and architectures and strive for a long-term technical approach. Exciting? Then apply now! About us: We are a leading global mobility service provider with sales of €3.07 billion and around 9,000 employees worldwide. Our mobility platform ONE combines our products SIXT rent (car rental), SIXT share (car sharing), SIXT ride (cab, driver and chauffeur services), SIXT+ (car subscription) and gives our customers access to our fleet of 222,000 vehicles, the services of 1,500 cooperation partners and around 1.5 million drivers worldwide. Together with our franchise partners, we are present in more than 110 countries at 2,098 rental stations. At SIXT, a first-class customer experience and outstanding customer service are our top priorities. We focus on true entrepreneurship and long-term stability and align our corporate strategy with foresight. Want to take off with us and revolutionize the world of mobility? Apply now!

Job Description Be part of the solution at Technip Energies and embark on a one-of-a-kind journey. You will be helping to develop cutting-edge solutions to solve real-world energy problems. About us: Technip Energies is a global technology and engineering powerhouse. With leadership positions in LNG, hydrogen, ethylene, sustainable chemistry, and CO2 management, we are contributing to the development of critical markets such as energy, energy derivatives, decarbonization, and circularity. Our complementary business segments, Technology, Products and Services (TPS) and Project Delivery, turn innovation into scalable and industrial reality. Through collaboration and excellence in execution, our 17,000+ employees across 34 countries are fully committed to bridging prosperity with sustainability for a world designed to last. About the role: We are currently seeking an AI Solution Architect , to join our team based in Noida. Key Responsibilities Design and architect enterprise-grade AI solutions with emphasis on transformer architectures and generative AI systems Develop and implement strategies for training, fine-tuning, and deploying open-source LLMs (Large Language Models) Implement cost-efficient and low-latency architectures for LLM inference services Build secure API frameworks for generative AI data transmission, processing, and reception Design optimized pipelines for processing multimodal data including text, images, and video for vector embeddings Lead technical discovery sessions with stakeholders to translate business requirements into AI solution designs Create detailed technical specifications, reference architectures, and implement roadmaps Engineer scalable solutions capable of handling increased request volumes and data storage needs Develop MVPs from proof-of-concepts, accelerating the development of the lifecycle of AI products Provide technical leadership for AI development teams using agile methodologies About you: 8+ years of experience in software development with at least 5 years focused on AI/ML solutions Extensive experience with transformer-based models (Anthropic, GPT, T5, LLaMA, Mistral) and generative AI technologies Proven expertise in fine-tuning and deploying open-source LLMs for production environments Deep knowledge of vector databases (Pinecone, Weaviate, Milvus, FAISS) and retrievalaugmented generation Strong proficiency in the Azure AI ecosystem, including Azure OpenAI Service, Azure Machine Learning, and Azure Cognitive Services Experience with LLM optimization techniques including quantization, distillation, and prompt engineering Expertise in designing and implementing secure API frameworks with JWT, OAuth, and API gateways Demonstrated ability to create low-latency, high-throughput AI systems using efficient orchestration Hands-on experience with containerization (Docker), orchestration (Kubernetes), and microservices architectures Proficiency in Python and AI frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, and LangChain Experience with MLOps practices and CI/CD pipelines for model deployment and monitoring Strategic thinking to align AI solutions with broader business objectives and customer needs Collaborative approach to problem-solving with adaptability to rapidly evolving technologies Preferred Qualifications Experience with multi-modal AI systems integrating vision and language capabilities Knowledge of embedding models (CLIP, SBERT, Ada) and their applications Expertise in RAG (Retrieval-Augmented Generation) architecture and implementations Experience with Azure Kubernetes Service (AKS) for model deployment Familiarity with vector search optimization and semantic caching strategies Background in implementing AI guardrails and safety measures for generative AI systems Experience with streaming inference and real-time AI processing Knowledge of distributed training techniques and infrastructure Expertise in GPU/TPU utilization optimization for AI workloads Experience with enterprise data governance and compliance requirements for AI systems Creative perspective for presenting AI strategies and roadmaps to stakeholders with illustrative flow diagrams & engaging content Customer-focused mindset with emphasis on delivering tangible business outcomes Intellectual curiosity and passion for staying current with emerging AI technologies and implementing PoC level solutions to accelerate and inculcate these solutions in development team. Your career with us: Working at Technip Energies is an inspiring journey, filled with groundbreaking projects and dynamic collaborations. Surrounded by diverse and talented individuals, you will feel welcomed, respected, and engaged. Enjoy a safe, caring environment where you can spark new ideas, reimagine the future, and lead change. As your career grows, you will benefit from learning opportunities at T.EN University, such as The Future Ready Program, and from the support of your manager through check-in moments like the Mid-Year Development Review, fostering continuous growth and development What’s next? Once receiving your application, our Talent Acquisition professionals will screen and match your profile against the role requirements. We ask for your patience as the team completes the volume of applications with reasonable timeframe. Check your application progress periodically via personal account from created candidate profile during your application. We invite you to get to know more about our company by visiting and follow us on LinkedIn, Instagram, Facebook, X and YouTube for company updates. Show more Show less

Job Summary: We are looking for a skilled Python Developer with at least 2 years of hands-on experience in Python development. The ideal candidate will be responsible for developing, testing, and maintaining scalable applications and solutions using Python. Key Responsibilities: Develop and maintain Python-based applications and services. Collaborate with cross-functional teams including front-end developers, designers, and product managers. Write clean, maintainable, and efficient code. Implement software solutions that are secure, scalable, and reliable. Debug and resolve software defects and issues. Participate in code reviews and contribute to best practices in coding and architecture. Integrate user-facing elements with server-side logic using frameworks such as Django or Flask. Knowledge of LLM concept s (prompt engineering, embeddings, inference pipelines). Exposure to DeepSeek AI models or similar open-source alternatives. Familiar with version control (Git) and container tools (Docker). Write and maintain unit and integration tests to ensure code quality. Stay updated on industry trends and emerging technologies. Required Skills & Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. 2+ years of experience in Python programming. Hands-on experience with Python frameworks such as Django, Flask, or FastAPI. Experience with RESTful API development and integration. Strong understanding of Object-Oriented Programming and software design patterns. Familiarity with version control tools such as Git. Working knowledge of databases like PostgreSQL, MySQL, or MongoDB. Experience with unit testing and CI/CD tools is a plus. Good problem-solving and communication skills. What We Offer: Competitive salary. Flexible working hours and remote work options with prior permission. Opportunity to work with modern technologies and grow your career. A collaborative and inclusive team environment. Job Type: Full-time Pay: ₹30,000.00 - ₹50,000.00 per month Location Type: In-person Schedule: Day shift Work Location: In person

Build the AI Reasoning Layer for Education We’re reimagining the core intelligence layer for education —tackling one of the most ambitious challenges in AI: subjective assessment automation and ultra-personalized learning at scale. This isn’t just another LLM application. We’re building a first-principles AI reasoning engine combining multi-modal learning, dynamic knowledge graphs, and real-time content generation . The goal? To eliminate billions of wasted hours in manual evaluation and create an AI that understands how humans learn . As a Founding AI Engineer , you’ll define and build this system from the ground up. You’ll work on problems few have attempted, at the bleeding edge of LLMs, computer vision, and generative reasoning. What You’ll Be Solving: Handwriting OCR at near-human accuracy: How can we push vision-language models to understand messy, real-world input from students? Real-time learner knowledge modeling: Can AI track and reason about what someone knows—and how they’re learning—moment to moment? Generative AI that teaches: How do we create dynamic video lessons that evolve in sync with a learner’s knowledge state? Scalable inference infrastructure: How do we optimize LLMs and multimodal models to support millions of learners in real time? What You’ll Be Building: Architect, deploy & optimize multi-modal AI systems—OCR, knowledge-state inference, adaptive content generation. Build reasoning engines that combine LLMs, retrieval, and learner data to dynamically guide learning. Fine-tune foundation models (LLMs, VLMs) and implement cutting-edge techniques (quantization, LoRA, RAG, etc.). Design production-grade AI systems: modular, scalable, and optimized for inference at global scale. Lead experiments at the frontier of AI research, publishing if desired. Tech Stack & Skills Must-Have: Deep expertise in AI/ML, with a focus on LLMs, multi-modal learning, and computer vision. Hands-on experience with OCR fine-tuning and handwritten text recognition Strong proficiency in AI frameworks: PyTorch, TensorFlow, Hugging Face, OpenCV. Experience in optimizing AI for production: LLM quantization, retrieval augmentation, and MLOps. Knowledge graphs and AI-driven reasoning systems experience Nice-to-Have: Experience with Diffusion Models, Transformers, and Graph Neural Networks (GNNs). Expertise in vector databases, real-time inference pipelines, and low-latency AI deployment. Prior experience in ed-tech, adaptive learning AI, or multi-modal content generation. Why This Role Is Rare Define the AI stack for a category-defining product at inception. Work with deep ownership across research, engineering, and infrastructure. Founding-level equity and influence in a high-growth company solving a $100B+ problem. Balance of cutting-edge research and real-world deployment. Solve problems that matter —not just academically, but in people’s lives. Who this role is for This is for builders at the edge—engineers who want to architect, not just optimize. Researchers who want their ideas shipped.If you want to: Push LLMs, CV, and multimodal models to their performance limits. Build AI that learns, reasons, and adapts like a human tutor. Shape the foundational AI layer for education Show more Show less

Company Description Bytezera is a data services provider that specialise in AI and data solutions to help businesses maximise their data potential. With expertise in data-driven solution design, machine learning, AI, data engineering, and analytics, we empower organizations to make informed decisions and drive innovation. Our focus is on using data to achieve competitive advantage and transformation. About the Role We are seeking a highly skilled and hands-on AI Engineer to drive the development of cutting-edge AI applications using the latest in Computer vision, STT, Large Language Models (LLMs) , agentic frameworks , and Generative AI technologies . This role covers the full AI development lifecycle—from data preparation and model training to deployment and optimization—with a strong focus on NLP and open-source foundation models . You will be directly involved in building and deploying goal-driven, autonomous AI agents and scalable AI systems for real-world use cases. Key Responsibilities Computer Vision Development Design and implement advanced computer vision models for object detection, image segmentation, tracking, facial recognition, OCR, and video analysis. Fine-tune and deploy vision models using frameworks like PyTorch, TensorFlow, OpenCV, Detectron2, YOLO, MMDetection , etc. Optimize inference pipelines for real-time vision processing across edge devices, GPUs, or cloud-based systems. Speech-to-Text (STT) System Development Build and fine-tune ASR (Automatic Speech Recognition) models using toolkits such as Whisper, NVIDIA NeMo, DeepSpeech, Kaldi, or wav2vec 2.0 . Develop multilingual and domain-specific STT pipelines optimized for real-time transcription and high accuracy. Integrate STT into downstream NLP pipelines or agentic systems for transcription, summarization, or intent recognition. LLM and Agentic AI Design & Development Build and deploy advanced LLM-based AI agents using frameworks such as LangGraph , CrewAI , AutoGen , and OpenAgents . Fine-tune and optimize open-source LLMs (e.g., GPT-4 , LLaMA 3 , Mistral , T5 ) for domain-specific applications. Design and implement retrieval-augmented generation (RAG) pipelines with vector databases like FAISS , Weaviate , or Pinecone . Develop NLP pipelines using Hugging Face Transformers , spaCy , and LangChain for various text understanding and generation tasks. Leverage Python with PyTorch and TensorFlow for training, fine-tuning, and evaluating models. Prepare and manage high-quality datasets for model training and evaluation. Experience & Qualifications 2+ years of hands-on experience in AI engineering , machine learning , or data science roles. Proven track record in building and deploying computer vision and STT AI application . Experience with agentic workflows or autonomous AI agents is highly desirable. Technical Skills Languages & Libraries:Python, PyTorch, TensorFlow, Hugging Face Transformers, LangChain, spaCy LLMs & Generative AI:GPT, LLaMA 3, Mistral, T5, Claude, and other open-source or commercial models Agentic Tooling:LangGraph, CrewAI, AutoGen, OpenAgents Vector databases (Pinecone or ChromaDB) DevOps & Deployment: Docker, Kubernetes, AWS (SageMaker, Lambda, Bedrock, S3) Core ML Skills: Data preprocessing, feature engineering, model evaluation, and optimization Qualifications:Education: Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related field. Show more Show less

Data Scientist @ DevOn The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. You have at least 3 years of experience as a Data Scientist. Responsibilities 🚀 We are Hiring – Data Scientists (Immediate to 15 Days Joiners) Are you passionate about building models that make a real-world impact? At DevOn , you’ll: 🔹 Work on real-world classification & regression problems 🔹 Build models using XGBoost, LightGBM, Random Forest 🔹 Perform feature engineering , scaling , handle missing data & outliers 🔹 Apply model evaluation techniques – PR Curve, F1, Cross-validation, R² 🔹 Tune hyperparameters and deploy using CI/CD, Docker, AWS 🔹 Collaborate with engineers and analysts to take models to production 🔹 Document experiments, build reproducible pipelines, and present insights Your profile: ✔ Strong hands-on experience in ML model development end-to-end ✔ Solid understanding of model performance metrics and tuning ✔ Expertise in Python, SQL, GitHub, Jupyter, TensorFlow/PyTorch ✔ Knowledge of bias-variance tradeoff , bagging vs boosting , IQR, etc. ✔ Experience with cloud platforms (AWS preferred) ✔ Bonus: A/B testing or causal inference exposure 📩 Send your resume to: TA-IN-Consulting@devon.nl 📅 Looking for immediate joiners or max 15 days Qualifications Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 3-years of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python & SQL) Show more Show less

AI Engineer Location: Pune: Hybrid Experience: 5-8 years (NEED STRONG EXPERIENCE ON AGENTIC AI) Position Summary: As a member of the AI team, you will be driving Agentic AI and Generative AI integration across all business units. You will drive AI development and integration across the organization, directly impacting the company's global sustainability efforts and shaping how we leverage AI to serve Fortune 500 clients. Responsibilities and Duties: Strategic Leadership (10%): Champion the AI/ML roadmap, driving strategic planning and execution for all initiatives. Provide guidance on data science projects (Agentic AI, Generative AI, and Machine Learning), aligning them with business objectives and best practices. Foster a data-driven culture, advocating for AI-powered solutions to business challenges and efficiency improvements. Collaborate with product management, engineering, and business stakeholders to identify opportunities and deliver impactful solutions Technical Leadership (40% ): Architect and develop Proof-of-Concept (POC) solutions for Agentic AI, Generative AI, and ML. Utilize Python and relevant data science libraries, leveraging MLflow. Provide technical guidance on AI projects, ensuring alignment with business objectives and best practices. Assist in development and documentation of standards for ethical and regulatory-compliant AI usage. Stay current with AI advancements, contributing to the team's knowledge and expertise. Perform hands-on data wrangling and AI model development Operational Leadership (50%): Drive continuous improvement through Agentic AI, Generative AI, and predictive modeling. Participate in Agile development processes (Scrum and Kanban). Ensure compliance with regulatory and ethical AI standards. Required Abilities and Skills: Agentic AI development and deployment. Statistical modeling, machine learning algorithms, and data mining techniques. Databricks and MLflow for model training, deployment, and management on AWS. Working with large datasets on AWS and Databricks Strong hands-on experience with: Agentic AI development and deployment. Working with large datasets on AWS and Databricks. Desired Experience: Statistical modeling, machine learning algorithms, and data mining techniques. Databricks and MLflow for model training, deployment, and management on AWS. Experience integrating AI with IoT/event data. Experience with real-time and batch inference integration with SaaS applications. International team management experience. Track record of successful product launches in regulated environments Education and Experience: 5+ years of data science/AI experience (2 to 3 years exp preferred) Bachelor's degree in Statistics, Data Science, Computer Engineering, Mathematics, or a related field (Master's preferred). Proven track record of deploying successful Agentic AI, Generative AI, and ML projects from concept to production. Excellent communication skills, able to explain complex technical concepts to both technical and non-technical audiences. Thanks & Regards Bhawesh Kaushik E: Bhawesh.Kaushik@akkodisgroup.com C: 922 040 6619 LinkedIn: www.linkedin.com/in/bhawesh-b36532161/ Show more Show less

Job description 🚀 Job Title: AI Engineer Company : Darwix AI Location : Gurgaon (On-site) Type : Full-Time Experience : 2-6 Years Level : Senior Level 🌐 About Darwix AI Darwix AI is one of India’s fastest-growing GenAI startups, revolutionizing the future of enterprise sales and customer engagement with real-time conversational intelligence. We are building a GenAI-powered agent-assist and pitch intelligence suite that captures, analyzes, and enhances every customer interaction—across voice, video, and chat—in real time. We serve leading enterprise clients across India, the UAE, and Southeast Asia and are backed by global VCs, top operators from Google, Salesforce, and McKinsey, and CXOs from the industry. This is your opportunity to join a high-caliber founding tech team solving frontier problems in real-time voice AI, multilingual transcription, retrieval-augmented generation (RAG), and fine-tuned LLMs at scale. 🧠 Role Overview As the AI Engineer , you will drive the development, deployment, and optimization of AI systems that power Darwix AI's real-time conversation intelligence platform. This includes voice-to-text transcription, speaker diarization, GenAI summarization, prompt engineering, knowledge retrieval, and real-time nudge delivery. You will lead a team of AI engineers and work closely with product managers, software architects, and data teams to ensure technical excellence, scalable architecture, and rapid iteration cycles. This is a high-ownership, hands-on leadership role where you will code, architect, and lead simultaneously. 🔧 Key Responsibilities 1. AI Architecture & Model Development Architect end-to-end AI pipelines for transcription, real-time inference, LLM integration, and vector-based retrieval. Build, fine-tune, and deploy STT models (Whisper, Wav2Vec2.0) and diarization systems for speaker separation. Implement GenAI pipelines using OpenAI, Gemini, LLaMA, Mistral, and other LLM APIs or open-source models. 2. Real-Time Voice AI System Development Design low-latency pipelines for capturing and processing audio in real-time across multi-lingual environments. Work on WebSocket-based bi-directional audio streaming, chunked inference, and result caching. Develop asynchronous, event-driven architectures for voice processing and decision-making. 3. RAG & Knowledge Graph Pipelines Create retrieval-augmented generation (RAG) systems that pull from structured and unstructured knowledge bases. Build vector DB architectures (e.g., FAISS, Pinecone, Weaviate) and connect to LangChain/LlamaIndex workflows. Own chunking, indexing, and embedding strategies (OpenAI, Cohere, Hugging Face embeddings). 4. Fine-Tuning & Prompt Engineering Fine-tune LLMs and foundational models using RLHF, SFT, PEFT (e.g., LoRA) as needed. Optimize prompts for summarization, categorization, tone analysis, objection handling, etc. Perform few-shot and zero-shot evaluations for quality benchmarking. 5. Pipeline Optimization & MLOps Ensure high availability and robustness of AI pipelines using CI/CD tools, Docker, Kubernetes, and GitHub Actions. Work with data engineering to streamline data ingestion, labeling, augmentation, and evaluation. Build internal tools to benchmark latency, accuracy, and relevance for production-grade AI features. 6. Team Leadership & Cross-Functional Collaboration Lead, mentor, and grow a high-performing AI engineering team. Collaborate with backend, frontend, and product teams to build scalable production systems. Participate in architectural and design decisions across AI, backend, and data workflows. 🛠️ Key Technologies & Tools Languages & Frameworks : Python, FastAPI, Flask, LangChain, PyTorch, TensorFlow, HuggingFace Transformers Voice & Audio : Whisper, Wav2Vec2.0, DeepSpeech, pyannote.audio, AssemblyAI, Kaldi, Mozilla TTS Vector DBs & RAG : FAISS, Pinecone, Weaviate, ChromaDB, LlamaIndex, LangGraph LLMs & GenAI APIs : OpenAI GPT-4/3.5, Gemini, Claude, Mistral, Meta LLaMA 2/3 DevOps & Deployment : Docker, GitHub Actions, CI/CD, Redis, Kafka, Kubernetes, AWS (EC2, Lambda, S3) Databases : MongoDB, Postgres, MySQL, Pinecone, TimescaleDB Monitoring & Logging : Prometheus, Grafana, Sentry, Elastic Stack (ELK) 🎯 Requirements & Qualifications 👨‍💻 Experience 2-6 years of experience in building and deploying AI/ML systems, with at least 2+ years in NLP or voice technologies. Proven track record of production deployment of ASR, STT, NLP, or GenAI models. Hands-on experience building systems involving vector databases, real-time pipelines, or LLM integrations. 📚 Educational Background Bachelor's or Master's in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Tier 1 institute preferred (IITs, BITS, IIITs, NITs, or global top 100 universities). ⚙️ Technical Skills Strong coding experience in Python and familiarity with FastAPI/Django. Understanding of distributed architectures, memory management, and latency optimization. Familiarity with transformer-based model architectures, training techniques, and data pipeline design. 💡 Bonus Experience Worked on multilingual speech recognition and translation. Experience deploying AI models on edge devices or browsers. Built or contributed to open-source ML/NLP projects. Published papers or patents in voice, NLP, or deep learning domains. 🚀 What Success Looks Like in 6 Months Lead the deployment of a real-time STT + diarization system for at least 1 enterprise client. Deliver high-accuracy nudge generation pipeline using RAG and summarization models. Build an in-house knowledge indexing + vector DB framework integrated into the product. Mentor 2–3 AI engineers and own execution across multiple modules. Achieve <1 sec latency on real-time voice-to-nudge pipeline from capture to recommendation. 💼 What We Offer Compensation : Competitive fixed salary + equity + performance-based bonuses Impact : Ownership of key AI modules powering thousands of live enterprise conversations Learning : Access to high-compute GPUs, API credits, research tools, and conference sponsorships Culture : High-trust, outcome-first environment that celebrates execution and learning Mentorship : Work directly with founders, ex-Microsoft, IIT-IIM-BITS alums, and top AI engineers Scale : Opportunity to scale an AI product from 10 clients to 100+ globally within 12 months ⚠️ This Role is NOT for Everyone 🚫 If you're looking for a slow, abstract research role—this is NOT for you. 🚫 If you're used to months of ideation before shipping—you won't enjoy our speed. 🚫 If you're not comfortable being hands-on and diving into scrappy builds—you may struggle. ✅ But if you’re a builder , architect , and visionary —who loves solving hard technical problems and delivering real-time AI at scale, we want to talk to you. 📩 How to Apply Send your CV, GitHub/portfolio, and a brief note on “Why AI at Darwix?” to: 📧 careers@cur8.in Subject Line: Application – AI Engineer – [Your Name] Include links to: Any relevant open-source contributions LLM/STT models you've fine-tuned or deployed RAG pipelines you've worked on 🔍 Final Thought This is not just a job. This is your opportunity to build the world’s most scalable AI sales intelligence platform —from India, for the world. Show more Show less

Job description 🚀 Job Title: ML Engineer Company : Darwix AI Location : Gurgaon (On-site) Type : Full-Time Experience : 2-6 Years Level : Senior Level 🌐 About Darwix AI Darwix AI is one of India’s fastest-growing GenAI startups, revolutionizing the future of enterprise sales and customer engagement with real-time conversational intelligence. We are building a GenAI-powered agent-assist and pitch intelligence suite that captures, analyzes, and enhances every customer interaction—across voice, video, and chat—in real time. We serve leading enterprise clients across India, the UAE, and Southeast Asia and are backed by global VCs, top operators from Google, Salesforce, and McKinsey, and CXOs from the industry. This is your opportunity to join a high-caliber founding tech team solving frontier problems in real-time voice AI, multilingual transcription, retrieval-augmented generation (RAG), and fine-tuned LLMs at scale. 🧠 Role Overview As the ML Engineer , you will drive the development, deployment, and optimization of AI systems that power Darwix AI's real-time conversation intelligence platform. This includes voice-to-text transcription, speaker diarization, GenAI summarization, prompt engineering, knowledge retrieval, and real-time nudge delivery. You will lead a team of AI engineers and work closely with product managers, software architects, and data teams to ensure technical excellence, scalable architecture, and rapid iteration cycles. This is a high-ownership, hands-on leadership role where you will code, architect, and lead simultaneously. 🔧 Key Responsibilities 1. AI Architecture & Model Development Architect end-to-end AI pipelines for transcription, real-time inference, LLM integration, and vector-based retrieval. Build, fine-tune, and deploy STT models (Whisper, Wav2Vec2.0) and diarization systems for speaker separation. Implement GenAI pipelines using OpenAI, Gemini, LLaMA, Mistral, and other LLM APIs or open-source models. 2. Real-Time Voice AI System Development Design low-latency pipelines for capturing and processing audio in real-time across multi-lingual environments. Work on WebSocket-based bi-directional audio streaming, chunked inference, and result caching. Develop asynchronous, event-driven architectures for voice processing and decision-making. 3. RAG & Knowledge Graph Pipelines Create retrieval-augmented generation (RAG) systems that pull from structured and unstructured knowledge bases. Build vector DB architectures (e.g., FAISS, Pinecone, Weaviate) and connect to LangChain/LlamaIndex workflows. Own chunking, indexing, and embedding strategies (OpenAI, Cohere, Hugging Face embeddings). 4. Fine-Tuning & Prompt Engineering Fine-tune LLMs and foundational models using RLHF, SFT, PEFT (e.g., LoRA) as needed. Optimize prompts for summarization, categorization, tone analysis, objection handling, etc. Perform few-shot and zero-shot evaluations for quality benchmarking. 5. Pipeline Optimization & MLOps Ensure high availability and robustness of AI pipelines using CI/CD tools, Docker, Kubernetes, and GitHub Actions. Work with data engineering to streamline data ingestion, labeling, augmentation, and evaluation. Build internal tools to benchmark latency, accuracy, and relevance for production-grade AI features. 6. Team Leadership & Cross-Functional Collaboration Lead, mentor, and grow a high-performing AI engineering team. Collaborate with backend, frontend, and product teams to build scalable production systems. Participate in architectural and design decisions across AI, backend, and data workflows. 🛠️ Key Technologies & Tools Languages & Frameworks : Python, FastAPI, Flask, LangChain, PyTorch, TensorFlow, HuggingFace Transformers Voice & Audio : Whisper, Wav2Vec2.0, DeepSpeech, pyannote.audio, AssemblyAI, Kaldi, Mozilla TTS Vector DBs & RAG : FAISS, Pinecone, Weaviate, ChromaDB, LlamaIndex, LangGraph LLMs & GenAI APIs : OpenAI GPT-4/3.5, Gemini, Claude, Mistral, Meta LLaMA 2/3 DevOps & Deployment : Docker, GitHub Actions, CI/CD, Redis, Kafka, Kubernetes, AWS (EC2, Lambda, S3) Databases : MongoDB, Postgres, MySQL, Pinecone, TimescaleDB Monitoring & Logging : Prometheus, Grafana, Sentry, Elastic Stack (ELK) 🎯 Requirements & Qualifications 👨‍💻 Experience 2-6 years of experience in building and deploying AI/ML systems, with at least 2+ years in NLP or voice technologies. Proven track record of production deployment of ASR, STT, NLP, or GenAI models. Hands-on experience building systems involving vector databases, real-time pipelines, or LLM integrations. 📚 Educational Background Bachelor's or Master's in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Tier 1 institute preferred (IITs, BITS, IIITs, NITs, or global top 100 universities). ⚙️ Technical Skills Strong coding experience in Python and familiarity with FastAPI/Django. Understanding of distributed architectures, memory management, and latency optimization. Familiarity with transformer-based model architectures, training techniques, and data pipeline design. 💡 Bonus Experience Worked on multilingual speech recognition and translation. Experience deploying AI models on edge devices or browsers. Built or contributed to open-source ML/NLP projects. Published papers or patents in voice, NLP, or deep learning domains. 🚀 What Success Looks Like in 6 Months Lead the deployment of a real-time STT + diarization system for at least 1 enterprise client. Deliver high-accuracy nudge generation pipeline using RAG and summarization models. Build an in-house knowledge indexing + vector DB framework integrated into the product. Mentor 2–3 AI engineers and own execution across multiple modules. Achieve <1 sec latency on real-time voice-to-nudge pipeline from capture to recommendation. 💼 What We Offer Compensation : Competitive fixed salary + equity + performance-based bonuses Impact : Ownership of key AI modules powering thousands of live enterprise conversations Learning : Access to high-compute GPUs, API credits, research tools, and conference sponsorships Culture : High-trust, outcome-first environment that celebrates execution and learning Mentorship : Work directly with founders, ex-Microsoft, IIT-IIM-BITS alums, and top AI engineers Scale : Opportunity to scale an AI product from 10 clients to 100+ globally within 12 months ⚠️ This Role is NOT for Everyone 🚫 If you're looking for a slow, abstract research role—this is NOT for you. 🚫 If you're used to months of ideation before shipping—you won't enjoy our speed. 🚫 If you're not comfortable being hands-on and diving into scrappy builds—you may struggle. ✅ But if you’re a builder , architect , and visionary —who loves solving hard technical problems and delivering real-time AI at scale, we want to talk to you. 📩 How to Apply Send your CV, GitHub/portfolio, and a brief note on “Why AI at Darwix?” to: 📧 careers@cur8.in / vishnu.sethi@cur8.in Subject Line: Application – ML Engineer – [Your Name] Include links to: Any relevant open-source contributions LLM/STT models you've fine-tuned or deployed RAG pipelines you've worked on 🔍 Final Thought This is not just a job. This is your opportunity to build the world’s most scalable AI sales intelligence platform —from India, for the world. Show more Show less

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Develop ML models, platforms, and services for Adobe Express, covering the entire ML lifecycle. About The Team The AI Foundation Team at Adobe Express aims to develop a groundbreaking AI stack using internal and external technologies to improve feature speed and quality. Develop ML models and services, collaborate with teams, improve user experience at Adobe Express. What You'll Do Research, design, and implement advanced ML models and pipelines for training and inference at scale, including techniques in computer vision, NLP, deep learning, and generative AI. Integrate Large Language Models (LLMs) and agent-based frameworks to support multimodal creative workflows, enabling rich, context-aware content generation and dynamic user experiences. Collaborate with multi-functional teams to translate product requirements into ML solutions, iterating from proof-of-concept to fully productionized services. Develop robust platforms for continuous model training, experimentation, A/B testing, and monitoring, ensuring that model quality and relevance remain consistently high. Leverage distributed computing technologies and cloud infrastructures to handle large-scale data processing, feature engineering, and real-time inference, optimizing for performance and cost-efficiency. Implement reliable APIs and microservices that serve ML models to end users, ensuring alignment to standard methodologies in security, compliance, scalability, and maintainability. Stay ahead of emerging ML research, tools, and frameworks, evaluating and integrating new technologies such as sophisticated LLMs, reinforcement learning-based agents, and innovative inference optimization techniques. In the near future, we will expand the model coverage to include more creative tasks. We will also improve the model architectures to achieve better latency and accuracy. Additionally, we will integrate federated learning or domain adaptation strategies to reach diverse audiences. Basic Qualifications: PhD or Master’s or Bachelor’s in Computer Science or equivalent experience, ML, Applied Mathematics, Data Science, or a related technical field. 14+years of industry experience. Proficiency in Python and Java for ML model development and systems integration. Hands-on experience with deep learning frameworks, including TensorFlow and PyTorch. Demonstrated experience working with LLMs and agent frameworks to develop advanced AI-based experiences. Proficiency in computer vision and NLP techniques for multimodal content understanding and generation. Work experience in Creative Domains, Imaging Domains will be highly useful. Experience in developing and deploying RESTful web services and microservices architectures for applications involving ML. Proficiency with UNIX environments, Git for version control, and Jenkins for CI/CD processes. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015. Show more Show less

JOB DESCRIPTION • Strong in Python with libraries such as polars, pandas, numpy, scikit-learn, matplotlib, tensorflow, torch, transformers • Must have: Deep understanding of modern recommendation systems including two-tower , multi-tower , and cross-encoder architectures • Must have: Hands-on experience with deep learning for recommender systems using TensorFlow , Keras , or PyTorch • Must have: Experience generating and using text and image embeddings (e.g., CLIP , ViT , BERT , Sentence Transformers ) for content-based recommendations • Must have: Experience with semantic similarity search and vector retrieval for matching user-item representations • Must have: Proficiency in building embedding-based retrieval models , ANN search , and re-ranking strategies • Must have: Strong understanding of user modeling , item representations , temporal/contextual personalization • Must have: Experience with Vertex AI for training, tuning, deployment, and pipeline orchestration • Must have: Experience designing and deploying machine learning pipelines on Kubernetes (e.g., using Kubeflow Pipelines , Kubeflow on GKE , or custom Kubernetes orchestration ) • Should have experience with Vertex AI Matching Engine or deploying Qdrant , F AISS , ScaNN , on GCP for large-scale retrieval • Should have experience working with Dataproc (Spark/PySpark) for feature extraction, large-scale data prep, and batch scoring • Should have a strong grasp of cold-start problem solving using metadata and multi-modal embeddings • Good to have: Familiarity with Multi-Modal Retrieval Models combining text, image, and tabular features • Good to have: Experience building ranking models (e.g., XGBoost , LightGBM , DLRM ) for candidate re-ranking • Must have: Knowledge of recommender metrics (Recall@K, nDCG, HitRate, MAP) and offline evaluation frameworks • Must have: Experience running A/B tests and interpreting results for model impact • Should be familiar with real-time inference using Vertex AI , Cloud Run , or TF Serving • Should understand feature store concepts , embedding versioning , and serving pipelines • Good to have: Experience with streaming ingestion (Pub/Sub, Dataflow) for updating models or embeddings in near real-time • Good to have: Exposure to LLM-powered ranking or personalization , or hybrid recommender setups • Must follow MLOps practices — version control, CI/CD, monitoring, and infrastructure automation GCP Tools Experience: ML & AI : Vertex AI, Vertex Pipelines, Vertex AI Matching Engine, Kubeflow on GKE, AI Platform Embedding & Retrieval : Matching Engine, FAISS, ScaNN, Qdrant, GKE-hosted vector DBs (Milvus) Storage : BigQuery, Cloud Storage, Firestore Processing : Dataproc (PySpark), Dataflow (batch & stream) Ingestion : Pub/Sub, Cloud Functions, Cloud Run Serving : Vertex AI Online Prediction, TF Serving, Kubernetes-based custom APIs, Cloud Run CI/CD & IaC : GitHub Actions, GitLab CI Show more Show less

Compiler Lead Hyderabad Founded by highly respected Silicon Valley veterans - with its design centers established in Santa Clara, California. / Hyderabad/Bangalore A US based well-funded product-based startup looking for Highly talented Verification Engineers for the following roles. We are looking for a highly experienced systems engineer with deep expertise in compilers, machine learning infrastructure, and system-level performance optimization. This role is hands-on and research-driven, ideal for someone who thrives on solving low-level performance challenges and building core infrastructure that powers next-generation AI workloads. Key Responsibilities: Compiler Design & Optimization Develop and enhance compiler toolchains based on LLVM, MLIR, Open64, or Glow. Build and optimize intermediate representations, custom dialects, and code generation flows for AI accelerators. Implement transformations and optimizations for latency, memory usage, and compute efficiency. AI System Integration Work closely with hardware teams to co-design compilers targeting custom silicon. Integrate compiler backends with ML frameworks like PyTorch, TensorFlow, or ONNX. Build graph-level and kernel-level transformations for AI training and inference pipelines. Performance Tuning & System Analysis Conduct low-level profiling and performance tuning across compiler and runtime layers. Identify and eliminate bottlenecks across CPU/GPU/NPU workloads. Develop parallel programming solutions leveraging SIMD, multi-threading, and heterogeneous computing. Tooling & Infrastructure Develop tooling for performance analysis, debug, and test automation. Contribute to internal SDKs and devkits used by AI researchers and system engineers. Required Skills & Experience: Strong compiler development experience using LLVM, MLIR, Glow, or similar toolchains. Proficiency in C/C++, with solid command of Python for tooling and automation. In-depth understanding of compiler internals, including IR design, lowering, codegen, and scheduling. Deep knowledge of hardware-software co-design, particularly for AI/ML workloads. Experience with runtime systems, memory models, and performance modeling. Solid grasp of parallel and heterogeneous computing paradigms. Nice to Have: Experience working with custom AI hardware or edge inference platforms. Familiarity with quantization, scheduling for dataflow architectures, or compiler autotuning. Contributions to open-source compiler projects (e.g., LLVM, MLIR, TVM). Qualifications: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. 8–15 years of relevant hands-on experience in compilers, systems programming, or AI infrastructure. Contact: Uday Mulya Technologies muday_bhaskar@yahoo.com "Mining The Knowledge Community" Show more Show less

Role Overview We're looking for a talented Machine Learning Engineer with 3+ years of experience to join our growing AI team. This role will play a central part in developing our real-time feedback engine, integrating and fine-tuning LLMs, and spearheading the training and deployment of custom and small language models (SLMs). Key Responsibilities Build and deploy scalable real-time inference systems using FastAPI and AWS. Fine-tune and integrate large language models (LLMs) like Claude 3.5 Sonnet via Amazon Bedrock. Lead or contribute to the training, fine-tuning, and evaluation of proprietary Small Language Models (SLMs). Build ML pipelines for preprocessing multimodal data (audio, transcript, slides). Collaborate with backend, design, and product teams to bring intelligent features into production. Optimize models for speed, efficiency, and edge/cloud deployment. Contribute to MLOps infrastructure for versioning, deployment, and monitoring of models. Required Qualifications 3+ years of experience in applied ML, including model deployment and training. Strong proficiency in Python, PyTorch, Transformers, and model training frameworks. Experience deploying APIs using FastAPI and integrating models in production. Experience fine-tuning LLMs (e.g., OpenAI, Claude, Mistral) and SLMs for specific downstream tasks. Familiarity with AWS services (S3, Bedrock, Lambda, SageMaker). Strong grasp of data pipelines, performance metrics, and model evaluation. Comfort working with multimodal datasets (text, audio, visual). Bonus Points Experience with Whisper, TTS systems (e.g., Polly), or audio signal processing. Background in building or fine-tuning SLMs for performance-constrained environments. Familiarity with MLOps tooling (MLflow, Weights & Biases, DVC). Experience with Redis, WebSockets, or streaming data systems. Perks and Benefits Attractive remuneration (competitive with market, based on experience and potential). Fully remote work – we’re a truly distributed team. Flexible working hours – we value output over clocking in. Health & wellness perks, learning stipends, and regular team retreats. Opportunity to work closely with passionate founders and contribute from Day 1. Be a core part of a fast-growing, high-impact startup with a mission to transform education. We look forward to receiving your application! Show more Show less

(PLEASE READ THROUGH THE JD COMPLETELY BEFORE APPLYING) Job Title: AI Engineer Job Type: Full-Time | Location: Chennai / Coimbatore Experience Level: Associate (4 – 5 years) Company Overview: Yavar is a data intelligence platform company offering industry-specific private AI applications. Our platforms help enterprises unlock intelligence using a powerful blend of agentic AI applications, deep-tech orchestration, and privacy-preserving infrastructure. We’re looking for an AI Engineer to build and scale next-gen GenAI products that blend large language models, real-time inference, and intelligent automation. Who Should Apply: We are seeking engineers with 4–5 years of software development experience , including 1–2 years specifically in building GenAI applications . If you’ve worked hands-on with LLMs, embeddings, RAG pipelines, and vector databases—and you're excited about building products that leverage cutting-edge protocols like MCP—this role is for you. Familiarity with vibe coding or similar prompt-oriented dev environments is a big plus. Role Summary: As an AI Engineer at Yavar, you’ll be at the heart of building high-performance, scalable GenAI applications. You’ll work with LLMs (open and private), design fine-tuning pipelines, optimize vector search performance, and build secure agentic interfaces powered by emerging multi-agent coordination protocols (MCP). Key Responsibilities: Design, develop, and deploy LLM-powered features across Yavar’s AI platforms. Implement prompt engineering, fine-tuning, embedding generation, and vector-based retrieval strategies. Build and manage RAG pipelines using public/private LLMs, vector DBs, and contextual memory. Integrate multi-agent coordination using protocols like MCP (Multi-agent Communication Protocol). Collaborate with product, infra, and UI teams to ship end-to-end AI features at scale. Contribute to the design of secure, multi-tenant GenAI architectures with RBAC and data privacy controls. Write clean, maintainable code using vibe coding frameworks or equivalent prompt-based dev setups. Stay up to date with the latest in LLM optimization, open-weight models, and inference tuning. Participate in architecture reviews, performance benchmarking, and deployment automation. Must-Have Qualifications: 4–5 years of experience in software development (Python, Node.js, or similar modern stacks) 1–2 years of hands-on experience in GenAI, LLMs, or NLP-based applications Strong understanding of fine-tuning strategies (LoRA, PEFT, full model) Experience with embedding models, vector databases (Pinecone, ChromaDB, Weaviate, FAISS, or similar) Solid grasp of Retrieval-Augmented Generation (RAG) architecture and memory management Familiarity with multi-agent systems and emerging protocols like MCP Exposure to vibe coding, prompt-oriented frameworks, or LangChain-based development Experience in building APIs and microservices for AI workloads Bachelor's or Master’s degree in Computer Science, AI/ML, or equivalent Key Attributes: Builder’s mindset with deep curiosity for LLM behavior and tuning Pragmatic problem solver with clean coding habits Strong understanding of AI/ML pipelines and data flows Effective communicator who can explain model behavior and limitations Comfortable in fast-paced, iterative product environments Always learning and experimenting with new models and techniques Why Join Us? Shape the future of AI products used across industries Build on cutting-edge infrastructure in a secure, privacy-first AI stack Collaborate with exceptional teams across AI, product, and design Lead innovations in AI agent design, multi-agent protocols, and GenAI governance Grow with a fast-scaling company embracing deep-tech and creative engineering How to Apply: If you're passionate about building transformative AI solutions with emerging technologies, we want to hear from you. Send your resume (with Gen-AI project details and LLM-related work) to careers@yavar.ai Show more Show less