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About Bluevine Bluevine is transforming small business banking with innovative solutions like checking, lending, and credit—all tailored to help entrepreneurs thrive. With best-in-class technology, advanced security, and a deep understanding of the small business community, we’re empowering entrepreneurs to grow with confidence. Backed by leading investors like Lightspeed Venture Partners, Menlo Ventures, 83North, and Citi Ventures, we’ve been supporting SMBs since 2013, serving over 750,000 customers nationwide and growing a dynamic global team of 500 people. Our mission? To fuel small businesses with the financial tools they need to succeed. At Bluevine, you’ll be part of a collaborative, fast-paced team that’s reshaping the future of banking. Ready to make an impact? About the Role: We are building a new, cutting-edge data science team in India and are looking for an experienced Senior Data Scientist to join us. This role is an exciting opportunity to apply your expertise in advanced statistical techniques, machine learning, and predictive modeling to solve complex business problems. You will be instrumental in shaping the data science function, developing scalable models, and collaborating with teams across the globe. What You'll Do: Advanced Modeling & Analytics: Utilize advanced statistical, machine learning, and predictive modeling techniques to design, build, and improve decision-making systems that drive business outcomes. Scalable Model Implementation: Apply modern software engineering practices to implement machine learning models in a scalable, robust, and maintainable manner. Ensure models are production-ready and optimized for performance. MLOps & System Integration: Lead technical MLOps projects including the redesign of existing infrastructures, maintaining and improving current models and systems, and integrating the latest technologies into our data science workflows. Data Collection & Management: Manage and lead initiatives to design and implement robust data collection procedures necessary for building comprehensive analytical systems. Collaboration & Leadership: Work closely with Data Scientists, the R&D department, and cross-functional teams across India, the US, and Israel to drive data science initiatives. Provide mentorship to junior data scientists and contribute to the growth of the team. What We’re Looking For: 5+ Years of Experience: A minimum of 5 years of professional experience as a Data Scientist, with a proven track record of developing and deploying machine learning models in a production environment. Proficiency in Python: Extensive experience in developing and deploying scalable production-level code in Python, with a deep understanding of machine learning libraries such as Scikit-learn, PyTorch, TensorFlow, or similar. Database Expertise: Strong experience working with relational databases, writing optimized SQL queries, and managing large datasets. End-to-End ML Lifecycle: Comprehensive experience in the full lifecycle of ML model development, including ideation, training/testing, deployment, and monitoring in a production setting. Data Analysis & Insight Generation: Ability to analyze complex datasets and extract actionable insights that inform business decisions. Educational Background: A Master's or Ph.D. in Statistics, Computer Science, Engineering, or a related quantitative discipline. Communication Skills: Proven ability to communicate complex technical concepts and findings to non-technical stakeholders, with a focus on clear and actionable insights. Bonus Points: Cross-Functional Experience: Experience working cross-functionally with Data/MLOps Engineering, Analytics, Business, and Product teams. Domain Expertise: Previous experience in specialized areas such as fraud detection, credit risk prediction, or graph models and analytics. MLOps & Cloud Experience: Hands-on experience with MLOps, particularly within the AWS ecosystem, and familiarity with tools like Apache Airflow. Experimental Design: Expertise in designing and executing experiments to measure model impact and effectiveness. Benefits & Perks Excellent group health coverage and life insurance Stock options Hybrid work model Meal allowance Transportation assistance (terms and conditions apply) Generous paid time off plan, Holidays Company-sponsored mental health benefits Financial advisory services for both short- and long-term goals Learning and development opportunities to support career growth Community-based volunteering opportunities

CSQ326R201 Mission At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilising the Data Intelligence platform. As a Scale Solution Engineer, you will play a critical role in advising Customers in their onboarding journey. You will directly work with customers to help them onboard and deploy Databricks in their Production environment. The Impact You Will Have You will ensure new customers have an excellent experience by providing them with technical assistance early in their journey. You will become an expert on the Databricks Platform and guide customers in making the best technical decisions to achieve their goals. You will work on multiple tactical customers to track and report their progress. What We Look For 2+ years of industry experience Early-career technical professional ideally in data-driven or cloud-based roles. Knowledge of at least one of the public cloud platforms AWS, Azure, or GCP is required. Knowledge of a programming language - Python, Scala, or SQL Knowledge of end-to-end data analytics workflow Hands-on professional or academic experience in one or more of the following: Data Engineering technologies (e.g., ETL, DBT, Spark, Airflow) Data Warehousing technologies (e.g., SQL, Stored Procedures, Redshift, Snowflake) Excellent time management & presentation skills Bonus - Knowledge of Data Science and Machine Learning (e.g., build and deploy ML Models) About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

About Netskope Today, there's more data and users outside the enterprise than inside, causing the network perimeter as we know it to dissolve. We realized a new perimeter was needed, one that is built in the cloud and follows and protects data wherever it goes, so we started Netskope to redefine Cloud, Network and Data Security. Since 2012, we have built the market-leading cloud security company and an award-winning culture powered by hundreds of employees spread across offices in Santa Clara, St. Louis, Bangalore, London, Paris, Melbourne, Taipei, and Tokyo. Our core values are openness, honesty, and transparency, and we purposely developed our open desk layouts and large meeting spaces to support and promote partnerships, collaboration, and teamwork. From catered lunches and office celebrations to employee recognition events and social professional groups such as the Awesome Women of Netskope (AWON), we strive to keep work fun, supportive and interactive. Visit us at Netskope Careers. Please follow us on LinkedIn and Twitter@Netskope. About The Role Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience. The Data QE team is responsible for the quality of data, data services, and data components across our cloud and hybrid cloud environments. We develop tools, create fully automated regression suites and conduct performance tests for distributed data components at cloud scale. If you thrive on solving difficult problems, complex test scenarios, and developing high-performance QE tooling and automation, we would love to discuss our career opportunities with you. We are currently seeking a highly skilled Staff / Sr. Staff SDET to lead initiatives at the intersection of AI/ML, cloud security, data engineering , and network security . This role involves testing the product, data efficacy, building CI/CD pipelines, and automating tools and tests to deliver high quality AI-driven solutions to detect and mitigate cybersecurity threats in cloud environments. You will collaborate with cross-functional teams to deliver secure, efficient, innovative solutions addressing complex security challenges. What’s In It For You You will be part of a growing team of renowned industry experts in the exciting space of AI/ML, Data Engineering and cloud / network security Your contributions will have a major impact on our global customer-base and across the industry through our market-leading products You will solve complex, interesting problems, and improve the depth and breadth of your technical and business skills. What You Will Be Doing Leading the test documentation, automation and deployment tooling of the microservice based architecture. Developing, executing, and maintaining manual and automated test cases for AI and infrastructure components. Designing and implementing test plans for backward compatibility, REST APIs and integration testing. Writing and maintaining test documentation to ensure transparency and repeatability of test processes. Automating testing using Python, Java or equivalent programming language to improve efficiency and coverage. Troubleshooting, debugging, and optimizing test environments in Kubernetes-based ecosystems. Collaborating with cross-functional teams, including data scientists, AI engineers, and DevOps, to ensure software quality. Staying up-to-date with the latest advancements in AI testing methodologies and tooling. Required Skills And Experience 8+ years of experience Strong knowledge of automation and building automation frameworks Excellent knowledge of and coding skills with Python, Java, etc Good knowledge of microservice architecture, distributed systems and familiarity with k8s and docker Strong knowledge of building CI/CD pipelines with Jenkins or Github Actions Experience with cloud platforms like AWS, Azure or GCP Experience testing data pipelines for large scale data processing and testing data efficacy or data correctness. Familiarity with RAG systems, vector databases such as Pincone, PGVector, and LLMs to validate data pipelines and inference results. Familiarity with AI models or conceptual knowledge of AI models and prompt engineering. Familiarity with relational and non-relational databases, like ClickHouse and BigQuery. A proven ability to lead cross-functional teams and mentor more junior engineers. Excellent written and verbal communication skills and the ability to present complex technical concepts to stakeholders. Education BSCS or equivalent required, MSCS or equivalent strongly preferred Netskope is committed to implementing equal employment opportunities for all employees and applicants for employment. Netskope does not discriminate in employment opportunities or practices based on religion, race, color, sex, marital or veteran statues, age, national origin, ancestry, physical or mental disability, medical condition, sexual orientation, gender identity/expression, genetic information, pregnancy (including childbirth, lactation and related medical conditions), or any other characteristic protected by the laws or regulations of any jurisdiction in which we operate. Netskope respects your privacy and is committed to protecting the personal information you share with us, please refer to Netskope's Privacy Policy for more details.

About the role Enable data driven decision making across the Tesco business globally by developing analytics solutions using a combination of math, tech and business knowledge You will be responsible for Roles and Responsibilities: - Identifying operational improvements and finding solutions by applying CI tools and techniques - Responsible for completing tasks and transactions within agreed KPI's - Knows and applies fundamental work theories/concepts/processes in own areas of work Engaging with business & functional partners to understand business priorities, ask relevant questions and scope same into a analytical solution document calling out how application of data science will improve decision making - In depth understanding of techniques to prepare the analytical data set leveraging multiple complex data set sources - Building Statistical models and ML algorithms with practitioner level competency - Writing structured, modularized & codified algorithms using Continuous Improvement principles (development of knowledge assets and reusable modules on GitHub, Wiki, etc) with expert competency - Building easy visualization layer on top of the algorithms in order to empower end-users to take decisions - this could be on a visualization platform (Tableau / Python) or through a recommendation set through PPTs - Working with the line manager to ensure application / consumption and also think beyond the immediate ask and spot opportunities to address the bigger business questions (if any) Key people and teams I work with in and outside of Tesco: People, budgets and other resources You will need I am accountable for in my job: Enterprise Analytics Senior Management Partners across the global Tesco business Experience relevant for this job: - Applied Math: Applied Statistics, Design of Experiments, Linear -1-2-year experience in data science application in Retail or CPG & Logistic Regression, Decision Trees, Forecasting, Optimization Preferred algorithms - Functional experience: Marketing, Supply Chain, Customer, - Tech: SQL, Hadoop, Python, Tableau, MS Excel, MS Merchandising, Operations, Finance or Digital PowerPoint - Soft Skills: Analytical Thinking & Problem solving, Storyboarding Whats in it for you? At Tesco, we are committed to providing the best for you. As a result, our colleagues enjoy a unique, differentiated, market- competitive reward package, based on the current industry practices, for all the work they put into serving our customers, communities and planet a little better every day. Our Tesco Rewards framework consists of pillars - Fixed Pay, Incentives, and Benefits. Total Rewards offered at Tesco is determined by four principles - simple, fair, competitive, and sustainable. Salary - Your fixed pay is the guaranteed pay as per your contract of employment. Performance Bonus - Opportunity to earn additional compensation bonus based on performance, paid annually Leave & Time-off - Colleagues are entitled to 30 days of leave (18 days of Earned Leave, 12 days of Casual/Sick Leave) and 10 national and festival holidays, as per the company’s policy. Making Retirement Tension-FreeSalary - In addition to Statutory retirement beneets, Tesco enables colleagues to participate in voluntary programmes like NPS and VPF. Health is Wealth - Tesco promotes programmes that support a culture of health and wellness including insurance for colleagues and their family. Our medical insurance provides coverage for dependents including parents or in-laws. Mental Wellbeing - We offer mental health support through self-help tools, community groups, ally networks, face-to-face counselling, and more for both colleagues and dependents. Financial Wellbeing - Through our financial literacy partner, we offer one-to-one financial coaching at discounted rates, as well as salary advances on earned wages upon request. Save As You Earn (SAYE) - Our SAYE programme allows colleagues to transition from being employees to Tesco shareholders through a structured 3-year savings plan. Physical Wellbeing - Our green campus promotes physical wellbeing with facilities that include a cricket pitch, football field, badminton and volleyball courts, along with indoor games, encouraging a healthier lifestyle. About Us Tesco in Bengaluru is a multi-disciplinary team serving our customers, communities, and planet a little better every day across markets. Our goal is to create a sustainable competitive advantage for Tesco by standardising processes, delivering cost savings, enabling agility through technological solutions, and empowering our colleagues to do even more for our customers. With cross-functional expertise, a wide network of teams, and strong governance, we reduce complexity, thereby offering high-quality services for our customers. Tesco in Bengaluru, established in 2004 to enable standardisation and build centralised capabilities and competencies, makes the experience better for our millions of customers worldwide and simpler for over 3,30,000 colleagues. Tesco Business Solutions: Established in 2017, Tesco Business Solutions (TBS) has evolved from a single entity traditional shared services in Bengaluru, India (from 2004) to a global, purpose-driven solutions-focused organisation. TBS is committed to driving scale at speed and delivering value to the Tesco Group through the power of decision science. With over 4,400 highly skilled colleagues globally, TBS supports markets and business units across four locations in the UK, India, Hungary, and the Republic of Ireland. The organisation underpins everything that the Tesco Group does, bringing innovation, a solutions mindset, and agility to its operations and support functions, building winning partnerships across the business. TBS's focus is on adding value and creating impactful outcomes that shape the future of the business. TBS creates a sustainable competitive advantage for the Tesco Group by becoming the partner of choice for talent, transformation, and value creation

P-926 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. Databricks Mosaic AI offers a unique data-centric approach to building enterprise-quality, Machine Learning and Generative AI solutions, enabling organizations to securely and cost-effectively own and host ML and Generative AI models, augmented or trained with their enterprise data. And we're only getting started in Bengaluru , India - and currently in the process of setting up 10 new teams from scratch ! As a Senior Software Engineer at Databricks India, you can get to work across : Backend DDS (Distributed Data Systems) Full Stack The Impact You'll Have Our Backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as: Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience. Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store. Build reliable, scalable services, e.g. Scala, Kubernetes, and data pipelines, e.g. Apache Spark™, Databricks, to power the pricing infrastructure that serves millions of cluster-hours per day and develop product features that empower customers to easily view and control platform usage. Our DDS team spans across: Apache Spark™ Data Plane Storage Delta Lake Delta Pipelines Performance Engineering As a Full Stack software engineer, you will work closely with your team and product management to bring that delight through great user experience. What We Look For BS (or higher) in Computer Science, or a related field 7+ years of production level experience in one of: Python, Java, Scala, C++, or similar language. Experience developing large-scale distributed systems from scratch Experience working on a SaaS platform or with Service-Oriented Architectures. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

The Thomson Reuters Financial transformation team instrumenting on implementing and delivering solution relating to digital finance strategies, enterprise performance strategies and technologies solutions. This position will play a key role as part of Performance Management projects, including tech driven transformation with tools like OneStream. About the Role: In this opportunity as EPM Architect (OneStream), you will: 10 -15 years working experience with Enterprise Performance Management Solutions implementation and delivery. Hands on experience in EPM tools: OneStream, Hyperion Experience of involvement in end-to-end implementation of OneStream platform with significant exposure to managing OneStream infrastructure. Design and architect optimal and scalable solutions. Responsible for managing OS Infrastructure (Environment Management, Application Performance) Work with internal team to ensure OS compliance with TR Security Standards (VPN connection, Encryption standards, Security Dashboards etc.) Ensure Application governance across OS environments like code management, artifact management etc. Drive automation initiatives related to above mentioned areas. Experience of data integration methodologies for connecting OneStream platform with other systems like Data Lake, SQL Server, S4 Hana, PowerBI etc. Must demonstrate exceptional analytical skills, and a passion for the insights that result from those analyses, together with a strong understanding of the data and collection processes needed to fuel that analysis. Must have a passion for serving others, work well in a team, be self-motivated, and be a problem-solver. Must have hands on experience of planning, forecasting and month end processes. Good to have Gen AI, Sensible ML knowledge. Power BI and other reporting experience. About you: You're a fit for the role of EPM Architect (OneStream) if your background includes: Leading Financial Planning and Performance Management projects, including tech driven transformation with tools like OneStream, Oracle EPM Lead solution design and development team. Lead ongoing management and optimization of OneStream platform’s infrastructure with evolving business requirements. Will work with core OneStream project team during implementation of various processes on the platform Will provide technical knowledge and expertise in the areas of Security, System Integration and application performance management. Should lead the admin activities for OneStream – upgradation / patches / hotfixes. What’s in it For You? Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place. About The Position The Database engineering team is based in the Bay Area, Toronto and India. The team has the DNA of building highly scalable, mission critical enterprise products. As part of building our team in India, we are looking for an AI Research Engineer with a passion for advancing the intersection of machine learning and database systems and improving operational efficiency of the Salesforce database. Responsibilities Salesforce is expanding its India operations and seeking to recruit an AI Research Engineer. The responsibilities of this position encompass the application of machine learning techniques to optimize the efficiency of the Salesforce database and to enhance the database system infrastructure and operational efficiency. It is desired that the selected candidate possesses a strong interest in the integration of artificial intelligence with database technology. This role focuses on developing innovative AI-based solutions across multiple database areas, including but not limited to: Root Cause Analysis (RCA) from logs and telemetry Log summarization and anomaly detection Query optimization and cost modeling Execution plan prediction and tuning Semantic understanding of user queries and workload forecasting Salesforce has a large fleet of database instances running in the cloud and generates a huge amount of telemetry and logs which can be leveraged to solve these problem statements. You’ll work on integrating LLMs and ML models with the Salesforce database engine to improve operational efficiency as well as help improve the database engineer itself to make it more adaptive, self-healing, and intelligent. As a PMTS/Architect You Will Be Responsible For Drive the roadmap, design and delivery of medium complex features independently Be an SME in your area of work,work with other database architects to arrive at solutions that can be productized Own the design decisions and ensure Quality and Security standards are met. Contribute to analysis, design, test and code reviews of own and related areas across different scrum teams Setting and improving engineering best practices/processes on relevant tooling, instrumentation, telemetry and playbook. Designing and coding the features for high quality. Timely resolution of Customer issues with utmost urgency and adhering to customer trust Requirements Experience with open-source DBMS (PostgreSQL, MySQL) or commercial engines. Experience in reinforcement learning, LLMs, building knowledge graphs, autoML Exposure to observability platforms (Splunk). Background in systems research with published work in SIGMOD, VLDB, NeurIPS, ICDE, OSDI, or similar venues. Track record of delivering innovative and complex features for a major software system Excellent communication skills and problem-solving skills Experience working with a group of developers in a high-pace high-demand environment Experience in Agile development Accommodations If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world. We want people who are passionate about taking complex concepts and providing a simple and accessible experience for users. We are looking for a Senior Software Engineer to build features and improvements end to end to make accelerated compute simple and accessible for everyone. The GenAI team is responsible for creating tools so that developers can easily create AI Agents for real world problems. We’re a fast-pace team looking to build the next generation of AI/ML workflows on DigitalOcean. What You’ll Be Doing Own a technical area by providing technical leadership for a team Drive large cross-functional projects independently to completion Work primarily in Typescript, React, GraphQL, Python, and Go Build UI components, libraries, tools, and services that power platform Maintain and develop the Go and GraphQL API Collaborate on design and UX Participate and support in operational excellence Independently ship product features from planning to launch to maintenance with high autonomy Collaborate with other engineers to find elegant architectures and solutions What You’ll Add To DigitalOcean Own a technical area by providing technical leadership for a team Strong interest in development platforms, Data Engineering, MLOps, AI, CI/CD, infrastructure or making products for technical teams Able to make effective trade-offs in regards to both engineering and product requirements, while balancing short term and long term needs 5+ years relevant industry experience in a fast-paced, high growth tech environment building UI component libraries, design systems, and tools using TypeScript Demonstrated design and UX sensibilities Knowledge of API standards including REST or GraphQL Why You’ll Like Working for DigitalOcean We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions. We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development. We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences. We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program. We value diversity and inclusion. We are an equal-opportunity employer, and recognize that diversity of thought and background builds stronger teams and products to serve our customers. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. This is a hybrid role

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 21th July 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field) 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . How to Apply 📩 Submit your application by 21th July 2025 with the subject: "Machine Learning Intern Application" . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds .

Job Title: Java Developer Experience: 3+ Years Location: Remote Job Type: Full-Time Work Hours: Fixed: 07:30 PM – 12:30 AM IST (Only this timing is fixed in 8 hours of working.) Job Description: We’re looking for a Java Developer with 3+ years of experience to join a dynamic team focused on evaluating and enhancing AI/LLM performance in real-world coding environments. This is a unique opportunity to work at the intersection of software engineering and AI research, with flexibility and autonomy. Day-to-Day Responsibilities: Analyze and triage GitHub issues across trending open-source Java repositories. Set up and configure local dev environments and repositories, including Dockerization. Evaluate and improve unit test coverage and code quality. Modify and run open-source codebases locally to simulate LLM-assisted bug-fixing. Collaborate with AI/ML researchers to identify and define challenging problems for LLMs. Option to mentor and lead a small team of junior developers on collaborative tasks. Required Skills: Strong hands-on experience with Java Solid understanding of Git , Docker , and basic DevOps pipeline concepts Ability to read, debug, and enhance complex real-world codebases Comfortable with setting up local environments and testing codebases manually Self-motivated and able to work independently or in a distributed team environment Preferred (Nice-to-Have) Skills: Experience contributing to or analyzing open-source projects Previous involvement in LLM research , AI code assistants, or evaluation of automated developer tools Familiarity with building or testing developer productivity tools

Key Responsibilities: • Architect and design complex, scalable workflows and solutions that align with business needs and technology goals. • Develop cloud-native architectures, ensuring scalability, performance, and security for enterprise applications. • Lead initiatives to improve data interoperability, ensuring seamless integration of systems and enabling efficient data exchange across diverse platforms. • Lead the design and implementation of robust APIs, ensuring that they enable effective system integration, scalability, and data flow. • Advocate for and implement DevOps best practices, including CI/CD pipelines, infrastructure automation, and operational excellence. Good to have: • Bachelor's or Master’s degree in Computer Science, Engineering, or a related field. • 10-12 years of experience in software architecture, with expertise in cloud-native architectures and data integration strategies. • Strong experience in at least one major cloud platform (e.g., AWS, Azure, Google Cloud) and multi-cloud strategies. • Proficient in DevOps tools and practices (e.g., Docker, Kubernetes, Jenkins, Terraform) with a focus on automation and infrastructure-as-code. • Experience with AI/ML frameworks and the ability to integrate machine learning solutions into enterprise architectures. • Proven experience with data interoperability frameworks and tools, ensuring the seamless flow of data between different systems.

Our Company Teradata is the connected multi-cloud data platform for enterprise analytics company. Our enterprise analytics solve business challenges from start to scale. Only Teradata gives you the flexibility to handle the massive and mixed data workloads of the future, today. The Teradata Vantage architecture is cloud native, delivered as-a-service, and built on an open ecosystem. These design features make Vantage the ideal platform to optimize price performance in a multi-cloud environment. Ignite the Future of Language with AI at Teradata! What You'll Do: Shape the Way the World Understands Data Are you ready to be at the forefront of a revolution? At Teradata, we're not just managing data; we're unlocking its hidden potential through the power of Artificial Intelligence and Machine Learning. As a key member of our innovative AI/ML team, you'll be architecting, building, and deploying cutting-edge software solutions that will literally transform languages within the Teradata Vantage platform – a cornerstone of our strategic vision and a powerhouse in the analytics world. Dive deep into the performance DNA of AI/ML applications. You'll be the detective, identifying and crushing bottlenecks to ensure our solutions not only scale massively but also deliver lightning-fast results. Your mission? To champion quality at every stage, tackling the unique and exhilarating challenges presented by AI/ML in the cloud. Become an integral part of a brilliant, tightly-knit team where collaboration isn't just a buzzword – it's how we create world-class, enterprise-grade software that pushes boundaries. You'll be a knowledge champion, diving into the intricacies of our domain, crafting compelling documentation, and sharing your expertise to inspire other teams. Your proficiency in Python, Java, Go, C++, along with Angular for frontend development, will be instrumental in delivering high-impact, full stack software that performs seamlessly, ensures long-term durability, optimizes costs, and upholds the highest standards of security. Unleash your inner API artisan! We're looking for someone with a genuine passion for crafting incredibly simple yet powerfully functional APIs that will be the backbone of our intelligent systems. Ready to paint the web with pixel-perfect magic? We're looking for a full stack developer who lives for clean code but dreams in UI – if crafting seamless, stunning frontends is your jam, this is your playground! Step into an agile, dynamic environment that feels like a startup but with the backing of an industry leader. You'll thrive on rapidly evolving business needs, directly impacting our trajectory and delivering quality solutions with speed and precision. Get ready to explore uncharted territories, creatively solve complex puzzles, and directly contribute to groundbreaking advancements. Who You'll Work With: Join Forces with the Best Imagine collaborating daily with some of the brightest minds in the company – individuals who champion diversity, equity, and inclusion as fundamental to our success. You'll be part of a cohesive force, laser-focused on delivering high-quality, critical, and highly visible AI/ML functionality within the Teradata Vantage platform. Your insights will directly shape the future of our intelligent data solutions. You'll report directly to the inspiring Sr. Manager, Software Engineering, who will champion your growth and empower your contributions. What Makes You a Qualified Candidate: Skills That Deliver Impact You bring 5+ years of industry experience in the exciting world of software development and operating software systems that can handle massive scale. Your mastery of Java with the Spring Framework and Angular—amplified by expertise in AI/ML, Kubernetes, microservices architecture, and DevOps methodologies—makes you a full-stack powerhouse poised to shape the future of technology. Bonus points for proficiency in Go, Python, FastAPI, or other object-oriented languages—the more versatile your tech stack, the stronger your impact. You possess a strong command of AI/ML algorithms, methodologies, tools, and the best practices for building robust AI/ML systems. Your foundational knowledge of data structures and algorithms is rock-solid. Skilled in full-stack development with a strong focus on test-first TDD practices and comprehensive unit testing across the entire application stack. A strong advantage: hands-on experience with AI/ML orchestration tools such as LangChain and MLflow, streamlining the training, evaluation, and deployment of AI/ML models. Demonstrates a strong interest in AI observability, particularly in monitoring and mitigating model drift to ensure sustained accuracy and reliability. Knowledge of containerization and orchestration tools like Docker and Kubernetes? That's a significant plus in our cloud-native world. Your analytical and problem-solving skills are sharp enough to cut through any challenge. Good grasp of designing complex systems, balancing scalability with simplicity in architecture and implementation You're a team player with experience in group software development and a fluent user of version control tools, especially Git. Your debugging skills are legendary – you can track down and squash bugs with finesse. You possess excellent oral and written communication skills, capable of producing clear and concise runbooks and technical documentation for both technical and non-technical audiences. Familiarity with relational database management systems (RDBMS) like PostgreSQL and MySQL is a plus. What You Bring: Passion and Product Thinking A Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field – your academic foundation is key. A genuine excitement for AI and large language models (LLMs) is a significant advantage – you'll be working at the cutting edge! Experience with Analytics? That's a huge plus in our data-driven environment. Familiarity with RDBMS – PostgreSQL, MySQL etc. – understanding data is crucial. You thrive in ambiguity, tackling undefined problems with an abstract and innovative mindset. Experience driving product vision to deliver long-term value for our customers is highly valued. You're ready to own the entire development lifecycle – from initial requirements to deployment and ongoing support. You're knowledgeable about open-source tools and technologies and know how to leverage and extend them to build innovative solutions. Passion for AI/ML, especially in building smart, agent-driven interfaces that feel human. Ownership mindset — you build, deploy, iterate, and scale with a long-term view. Why We Think You’ll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are. Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. ​ We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 21th July 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field) 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . How to Apply 📩 Submit your application by 21th July 2025 with the subject: "Machine Learning Intern Application" . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds .

Job Title: AI/ML Developer (Remote) Experience Required: 5 Years Location: Remote (India-based preferred) Employment Type: Full-Time About the Role: We are looking for a skilled and motivated AI/ML Developer with 5 years of hands-on experience in building and deploying machine learning solutions. You will work with cross-functional teams to deliver cutting-edge AI applications that solve real-world problems. This is a remote role offering flexibility and the chance to work with a fast-paced, innovation-driven team. Key Responsibilities: Design, develop, and deploy ML models for classification, regression, NLP, and/or computer vision tasks. Collect, preprocess, and analyze large datasets. Work with frameworks such as TensorFlow, PyTorch, Scikit-learn, and Hugging Face. Implement and optimize model training pipelines using Python. Collaborate with product managers, data engineers, and backend teams to integrate ML models into production. Continuously evaluate model performance and update them based on new data and requirements. Write clean, maintainable, and well-documented code. Stay current with the latest AI/ML trends and technologies. Required Skills: Strong programming skills in Python and hands-on experience with machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch). Proficiency in data handling and preprocessing using Pandas , NumPy , and SQL . Experience with model deployment tools (e.g., FastAPI, Flask, Docker, AWS/GCP). Sound understanding of ML algorithms , model evaluation metrics, and tuning techniques. Practical experience in NLP , Computer Vision , or Recommendation Systems is a plus. Experience with version control systems like Git and CI/CD pipelines. Good to Have: Experience working in a remote team environment . Exposure to MLOps tools such as MLflow, Kubeflow, or Vertex AI. Familiarity with big data tools like Spark or Hadoop. Prior work on production-grade ML pipelines .

Location: Hauz Khas, New Delhi Stipend : ₹20,000 - ₹30,000 / month Duration: 2-3 months (with potential for full-time) About Perf Perf is an early-stage AI startup founded by ex-Google PMs, Microsoft engineers, and IIT Delhi alumni. We’re working at the frontier of agentic AI, and we’re looking for highly motivated 10X engineering interns to join our founding tech team. What we're looking for: Browser Extension Development: experience building Chrome/Firefox extensions using WebExtensions API, background workers, and content scripts Strong Coding Skills: p roficiency in JavaScript/TypeScript, Python, and Node.js DOM Manipulation + Web Scraping: Ability to read and extract structured data from complex webpages AI/ML Exposure: familiarity with LangChain, OpenAI APIs, or similar frameworks is a big plus. System Integration: experience working with browser storage, messaging systems, REST APIs, and third-party integrations Who you are: Hungry to learn, ship, and solve real-world problems Excited about working in a fast-moving startup environment Willing to get your hands dirty and contribute to core product development Comfortable navigating ambiguity and startup pace Bonus: You’ve shipped side projects or interned at fast-paced companies

At myKaarma, we’re not just leading the way in fixed ops solutions for the automotive industry—we’re redefining what’s possible for dealership service centers. Headquartered in Long Beach, California, and powered by a global team, our industry-leading SaaS platform combines communication, scheduling, and payment tools in one seamless solution that keeps dealerships and vehicle owners connected. With myKaarma, every service interaction flows effortlessly, bringing good karma to customers and service teams. Rooted in the principles of the Toyota Production System, we operate with precision, efficiency, and a relentless focus on continuous improvement to deliver a better experience for all. We’re looking for innovators, problem-solvers, and tech enthusiasts passionate about building solutions that people love to use. If you’re ready to make an impact in an industry ripe for change, join us at myKaarma and help shape the future of automotive service. Role Description We are building a modern data lake architecture centered around BigQuery and Looker, and we’re looking for a hands-on Looker Data Engineer/Architect to help us shape and scale our data platform. In this role, you’ll own the design and implementation of Looker Views, Explores, and Dashboards, working closely with data stakeholders to ensure accurate, efficient, and business-relevant insights. You’ll play a critical role in modelling our existing data architecture into LookML, and driving modelling and visualization best practices across the organization. This will also include reviewing our existing data lake models and identifying inefficiencies/areas of improvement. This role also offers the opportunity to integrate AI/ML in our data lake and provide intelligent insights and recommendations to our internal as well as external customers. Key Responsibilities Design and develop LookML models, views, and explores based on our legacy data warehouse in MariaDB Create and maintain high-quality dashboards and visualizations in Looker that deliver actionable business insights Collaborate with engineers, product managers, and business stakeholders to gather requirements and translate them into scalable data models Guide other engineers and non-technical staff on how to build and maintain Looker dashboards and models. Ensure data accuracy, performance, and efficiency across our Looker and BigQuery resources Maintain strong ownership over the Looker platform, proactively improving structure, documentation, and data usability Monitor and troubleshoot data issues in Looker and BigQuery Required Skills And Qualifications 5+ years of experience in data engineering and 2+ years of hands-on experience with Looker, including LookML modeling and dashboard development Strong experience with Google BigQuery, including writing and optimizing complex SQL queries, and managing BigQuery costs Experience with building and maintaining projects in Google Cloud Experience implementing row-level security, access controls, or data governance in Looker Proven ability to manage and own end-to-end Looker projects with minimal supervision Experience with source control systems, preferably git Excellent communication skills and a strong sense of ownership and accountability Comfortable working in a fast-paced, collaborative environment Nice To Have Skills & Qualifications Familiarity with batch processing, stream processing and real-time analytics Familiarity with MySQL queries and syntax Being able to understand and write java code We value diverse experiences and backgrounds, so we encourage you to apply if you meet some but not all of the listed qualifications. Total Rewards at myKaarma Benefits At myKaarma, we offer a comprehensive Total Rewards package that extends beyond the base salary. Our commitment to competitive compensation includes bonuses and benefits that support both personal and professional well-being: Flexible Work Environment: We embrace a high-performance, flexible structure that values freedom and responsibility. Our “Highly Aligned, Loosely Coupled” model empowers teams to innovate and continuously improve using data-driven insights. Health and Wellness: Comprehensive medical, life, and disability benefits. Time Off: Generous vacation time to recharge and balance life outside work. In-Office Perks: Work in an agile office space with perks like ping pong and foosball to unwind and connect and unlimited lunch, snacks or refreshments onsite. Our Commitment to Inclusion At myKaarma, diverse perspectives drive innovation and success. We are committed to creating a safe, welcoming, and inclusive workplace where every employee feels valued and empowered and can do meaningful work. Our mission to deliver exceptional solutions to our clients is strengthened by the unique contributions and perspectives of our team members from all backgrounds. As an equal opportunity employer, myKaarma prohibits any form of unlawful discrimination or harassment based on race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability, age, veteran status, or any other status protected by applicable laws in the regions where we operate. We adhere to all EEOC regulations and actively promote an environment that celebrates and supports diversity, equity, and inclusion for all. Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. Reasonable accommodation is a change in the way things are normally done, which will ensure an equal employment opportunity without imposing undue hardship on myKaarma. Please let us know if you require reasonable accommodations during the application or interview process by filling out this form. myKaarma participates in the E-Verify Program .

UI/UX Developer (Onsite only role based in Pune, India) (No Remote / Hybrid) Type: Full-Time / Internship (Based on fit) Start Date: Immediate About Pragyana We’re building cutting-edge AI-powered tools to solve real-world problems through innovation, agility, and scalability. Our focus is on building human-focused AI solutions across various industry verticals. Role Overview We’re looking for a talented UI/UX Developer who can own the entire design experience from user research and wireframes , to hi-fi mockups and design systems , and optionally, frontend implementation . You'll work closely with the product team, and developers to build a world-class, Gen Z-friendly, responsive app. Responsibilities Design intuitive, aspirational, and engaging user experiences for web and mobile (React/React Native) Own design systems: typography, color palette, iconography, and component library Create wireframes, prototypes, user journeys, and mockups in Figma Translate user needs and behaviors into usable interface flows Work closely with frontend developers to ensure pixel-perfect implementation Apply gamification and motivation design elements Iterate based on customer feedback and usability testing (Optional) Implement UI components in React + Tailwind (if you're hands-on with code) Required Skills 1+ years of experience in UI/UX Design for web and/or mobile apps Strong portfolio showcasing design thinking, clean visual design, and product intuition Proficiency with Figma (Auto Layout, Components, Design Tokens) Understanding of responsive and mobile-first design principles Ability to balance simplicity, clarity, and engagement especially for student users Bonus Skills Experience with Tailwind CSS, React, or Framer Motion Familiarity with EdTech, exam prep products, or gamified platforms Past work with AI/ML-based interfaces (e.g., personalization modules) Understanding of accessibility and performance best practices Send your resume to careers@pragyana.ai

Quality Assurance Manager - Assistant Manager/Deputy Manager Need someone with a strong Pensions background. Having US healthcare experience would be an advantage. 1. Build a culture of quality, define QA strategies and maintain highest level of quality standards. 2. Identifying areas of significant Customer, Business Impact and improvement opportunities therein and provide strategic direction & thought leadership 3. Drive and Track Quality DNA - training, testing & certification, lead any other analytics and productivity initiatives. 4. Prepare and present analysis or specific trends on key critical metrics for the program aligned to understand ops related metrics and report them in overall dashboard 5. Enable a structured approach problem solving and data driven decision making culture to create and execute countermeasures to barriers and issues preventing the achievement of business objectives 6. Develop mechanism of effective process deployment Conduct periodic process benchmarking to ensure competitiveness 7. Analyze existing data to identify trends, bottlenecks and inefficiencies in current processes to use these data points to prioritize projects to reduce potential risk or impact 8. Identify immediate operational metrics issues and any anomalies that need quick attention and provide a summary of daily trends, highlight any significant changes and offer insights into short-term and long-term progress. Offer a comprehensive overview of the trends, compare them against goals and provide a detailed analysis of the effectiveness of the initiatives. Minimum Required Degree: Graduate (Any stream) Preferred Degree: Post Graduate Certificate(s)/Special Training: Lean professional (Certified) Six Sigma Black Belt (Certified) Master Black Belt (preferred) Design thinking (preferred) Experience (Career Level Guide) Overall industry experience should be over 15+ years 6 to 8+ relevant years of experience. We need someone with strong experience in Pensions. Experience of managing a span of minimum 80 to 100 team members KNOWLEDGE, SKILLS AND ABILITY: (List the MINIMUM knowledge, skills and ability required to perform the essential functions of the position): Deep understanding of data, adept stakeholder management, and excellent problem-solving skills Thorough understanding of data, proficient stakeholder management, and outstanding problem-solving abilities Extensive experience in identifying, scoping, analyzing, and executing projects Project Management, driving excellence Experience in documenting business process flows, creating and updating standard operating procedures, and recording business activities Fostering partnerships with clients and stakeholders Leading transformation and deliver business value You should possess an innovative and transformative mindset to identify opportunities for improvement, optimize processes, reduce costs, and enhance efficiency You should have strong decision-making abilities and be adept at determining objectives and approaches for critical assignments Knowledge of latest technologies like automation, AI, ML etc. Remarks This position is in a temperature-controlled office environment. The noise level in the work environment is usually light to moderate. This position is to work in a Hybrid model and depending on the need must be flexible to work from office/home as required to accomplish their role. This job description is not intended to be an exhaustive list of the duties and responsibilities of this position. Additional duties not included on this job description may be assigned by management at any time, based upon the business needs of the Company. Employees must perform all such duties assigned to them as a condition of employment. Likewise, this job description does not alter the at-will nature of employment at the Company. The Company may review and update this job description from time to time, as deemed necessary or appropriate in its sole discretion.

Senior Advisor, Data Science Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods, and models. What’s more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data. Join us as a Senior Advisor on our Data Science team in Bangalore to do the best work of your career and make a profound social impact. What You’ll Achieve Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods, and models. What’s more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data. You will: Develop Gen AI-based solutions to tackle real-world challenges using extensive datasets of text, images, and more Design and manage experiments; research new algorithms and optimization methods Build and maintain data pipelines and platforms to operationalize Machine Learning models at scale Demonstrate a passion for blending software development with Gen AI and ML Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role: Essential Requirements Design, implement, test and maintain ML solutions within Dell's services organization Engage in design discussions, code reviews, and interact with various stakeholders Collaborate across functions to influence business solutions with technical expertise Thrive in a startup-like environment, focusing on high-priority tasks Desired Requirements Proficiency in Data Science Platforms (Domino Data Lab, Microsoft Azure, AWS, Google Cloud) | Deep knowledge in ML, data mining, statistics, NLP, or related fields | Experience in object-oriented programming (C#, Java) and familiarity with Python, Spark, TensorFlow, XGBoost | Experience in productionizing ML models and scaling them for low-latency environments | Proficient in Data Mining, ETL, SQL OLAP, Teradata, Hadoop 8+ years of related experience with a bachelor’s degree; or 6+ years with a Master’s; or 3+ years with a PhD; or equivalent experience Who We Are We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Application closing date: 20th Aug 2025 Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here. Job ID: R274037

Quality Assurance Manager - Assistant Manager/ Deputy Manager 1. 1.Build a culture of quality, define QA strategies and maintain highest level of quality standards. 2. Identifying areas of significant Customer, Business Impact and improvement opportunities therein and provide strategic direction & thought leadership 3. Drive and Track Quality DNA - training, testing & certification, lead any other analytics and productivity initiatives. 4. Prepare and present analysis or specific trends on key critical metrics for the program aligned to understand ops related metrics and report them in overall dashboard 5. Enable a structured approach problem solving and data driven decision making culture to create and execute countermeasures to barriers and issues preventing the achievement of business objectives 6. Develop mechanism of effective process deployment Conduct periodic process benchmarking to ensure competitiveness 7. Analyze existing data to identify trends, bottlenecks and inefficiencies in current processes to use these data points to prioritize projects to reduce potential risk or impact 8. Identify immediate operational metrics issues and any anomalies that need quick attention and provide a summary of daily trends, highlight any significant changes and offer insights into short-term and long-term progress. Offer a comprehensive overview of the trends, compare them against goals and provide a detailed analysis of the effectiveness of the initiatives. Minimum Required Degree: Graduate (Any stream) Preferred Degree: Post Graduate Certificate(s)/Special Training: Lean professional (Certified) Six Sigma Black Belt (Certified) Master Black Belt (preferred) Design thinking (preferred) Experience (Career Level Guide) Overall industry experience should be over 15+ years 6 to 8+ relevant years of experience. We need someone with strong F&A experience Experience of managing a span of minimum 80 to 100 team members KNOWLEDGE, SKILLS AND ABILITY: (List the MINIMUM knowledge, skills and ability required to perform the essential functions of the position): Deep understanding of data, adept stakeholder management, and excellent problem-solving skills Thorough understanding of data, proficient stakeholder management, and outstanding problem-solving abilities Extensive experience in identifying, scoping, analyzing, and executing projects Project Management, driving excellence Experience in documenting business process flows, creating and updating standard operating procedures, and recording business activities Fostering partnerships with clients and stakeholders Leading transformation and deliver business value You should possess an innovative and transformative mindset to identify opportunities for improvement, optimize processes, reduce costs, and enhance efficiency You should have strong decision-making abilities and be adept at determining objectives and approaches for critical assignments Knowledge of latest technologies like automation, AI, ML etc. Remarks This position is in a temperature-controlled office environment. The noise level in the work environment is usually light to moderate. This position is to work in a Hybrid model and depending on the need must be flexible to work from office/home as required to accomplish their role. This job description is not intended to be an exhaustive list of the duties and responsibilities of this position. Additional duties not included on this job description may be assigned by management at any time, based upon the business needs of the Company. Employees must perform all such duties assigned to them as a condition of employment. Likewise, this job description does not alter the at-will nature of employment at the Company. The Company may review and update this job description from time to time, as deemed necessary or appropriate in its sole discretion.

Company Description Svitla Systems, Inc. is a global digital solutions company with over 20 years of experience, crafting more than 5,000 transformative solutions for clients worldwide. Our mission is to leverage digital, cloud, data, and intelligent technologies to create sustainable solutions for our clients, enhancing their growth and competitive edge. With a diverse team of over 1,000 technology professionals, Svitla serves a range of clients from innovative startups to Fortune 500 companies across 20+ industries. Svitla operates from 10 delivery centers globally, specializing in areas like cloud migration, data analytics, web and mobile development, and more. We are proud to be a WBENC-certified business and one of the largest, fastest-growing women-owned IT companies in the US. Role Description This is a fully remote, full-time, long-term contractual position with one of our clients who is building the next generation of secure, real-time proctoring solutions for high-stakes exams. We’re looking for a Senior ML/AI Engineer to architect, implement, and maintain Azure-based AI models that power speech-to-text, computer vision, identity verification, and intelligent chat features during exam sessions. Responsibilities - Implement real-time speech-to-text transcription and audio-quality analysis using Azure AI Speech. - Build prohibited-item detection, OCR, and face-analysis pipelines with Azure AI Vision. - Integrate Azure Bot Service for rule-based, intelligent chat support. - Collaborate with our DevOps Engineer on CI/CD and infrastructure-as-code for AI model deployment. - Train, evaluate, and deploy object-detection models (e.g., screen-reflection, background faces, ID checks) using Azure Custom Vision. - Develop and maintain skeletal-tracking models (OpenPose/MediaPipe) for gaze-anomaly detection. - Fine-tune Azure Face API for ID-to-headshot matching at session start and continuous identity validation. - Expose inference results via REST APIs in partnership with backend developers to drive real-time proctor dashboards and post-session reports. - Monitor model performance, manage versioning/retraining workflows, and optimize accuracy for edge-case scenarios. Qualifications - Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field. - 5+ years of professional ML/AI experience, with at least 2 years working on production-grade Azure Cognitive Services. - Strong Python skills plus 3+ years with TensorFlow or PyTorch. - Hands-on experience (1–2 years) with: - Azure AI Speech (speech-to-text, audio analysis) - Azure AI Vision (object detection, OCR, face analysis) - Azure Custom Vision model training and deployment - Azure Face API fine-tuning and biometric matching - Azure Bot Service integration - Solid understanding of CI/CD practices and tools (Azure DevOps, Docker, Kubernetes) with 2+ years of collaboration on AI model deployments. - 2+ years building and consuming RESTful or gRPC APIs for AI inference. - Proven track record of monitoring and optimizing model performance in production. Good to haves - 1+ year with skeletal-tracking frameworks (OpenPose, MediaPipe). - Familiarity with Azure ML Studio, ML pipelines, or MLflow for model versioning and retraining. - Experience with edge-deployment frameworks (TensorFlow Lite, ONNX Runtime). - Background in security and compliance for biometric data (GDPR, PCI-DSS). - Azure AI Engineer Associate or Azure Data Scientist Associate certification. Additional Information -The role is a Fully Remote, Full-Time, Long-Term, Contractual position -The hiring process includes an initial screening by the recruitment team, an HR motivation interview, an internal tech screening, a client technical interview and finally the client management interview -The salary range for this position is 50-70 LPA (INR) -The position needs to be filled on priority, only candidates who have an official notice period (or remaining time on their notice period) of <=30 days will be screened

Pandita AI is a rapidly growing Applied AI startup headquartered in Palo Alto, California , with an Applied AI division based in Mysore, India . We specialize in building domain-specific LLMs , multimodal generative systems , and agentic workflows for real-world problems across scientific computing, document intelligence, and industrial automation. We are looking for a Generative AI Applied Scientist to join our core research team in Mysore. This is a high-impact, high-ownership role for those who thrive at the intersection of deep research , problem discovery , and real-world deployment . Key Responsibilities Proactively identify high-value problem areas where generative AI can deliver measurable impact. Translate ambiguous or emerging needs into well-defined ML tasks and deliver production-grade solutions . Design and develop custom generative models (e.g., Transformers, LLMs, Diffusion Models, VAEs). Own the end-to-end lifecycle of model development — from prototyping to cloud/API deployment . Good communication skills that involve being able to talk to customers, identify problem statements, and communicate impactful results. Collaborate across research, product, and engineering teams to embed generative AI into vertical solutions. Required Qualifications PhD or Masters with Thesis and 5+ years in Computer Science, Machine Learning, AI, or a closely related field. Strong research track record with publications in top-tier conferences (e.g., IEEE TPAMI, CVPR, ICML, ICLR, NeurIPS, ACL ). Expertise in deep generative models , representation learning , and probabilistic methods . Experience in building models that solve real-world problems and can be scaled into production systems . Fluency in Python and modern ML stacks (e.g., PyTorch, JAX, Hugging Face). Willingness to work onsite in Mysore and collaborate across time zones with the US-based HQ. Involves travel about 25-50% to client locations. Preferred Qualifications Experience in LLM fine-tuning , multimodal systems , or diffusion-based generation . Familiarity with retrieval-augmented generation , causal inference , or workflow agents . Experience deploying models via Docker, ONNX, or cloud-native APIs (AWS/GCP). A track record of discovering novel application areas and developing first-of-their-kind solutions. What We Offer A fast-paced startup environment backed by cutting-edge research and global customers. ESOPs/Equity and competitive compensation. Access to high-performance compute (A100s, H100s), internal datasets, and modern MLOps tooling. Clear runway for career growth , technical leadership , and IP ownership . A collaborative and ambitious team working on some of the most important problems in applied AI — from Mysore and Palo Alto .

Position: MERN Stack Developer Location: Onsite - Mumbai Employment Type: Full-Time Experience Required: 1 to 3 years About Nurdd Nurdd is an AI-powered marketing attribution platform built for the modern influencer economy. We help brands understand what actually drives performance in creator-led campaigns through advanced data tracking, attribution models, and real-time insights. Our systems enable brands to make ROI-driven decisions while eliminating inefficiencies in influencer marketing. We’re building scalable, intelligent infrastructure that powers the future of brand-creator collaboration—and we’re looking for engineers who can bring that vision to life. Role Overview We are hiring a MERN Stack Developer to join our engineering team. You will be responsible for developing and maintaining backend services and full-stack features that support our attribution engine. The ideal candidate will be confident in both frontend and backend development using MongoDB, Express.js, React.js, and Node.js, with experience in building scalable APIs and integrating AI-based services. Responsibilities Design, develop, and maintain web applications using the MERN stack Build RESTful and GraphQL APIs to power frontend and mobile apps Work closely with the AI/ML team to integrate model outputs and analytics Optimize data storage and retrieval using MongoDB for large-scale attribution data Implement secure, scalable, and modular backend architecture on AWS or similar platforms Collaborate with frontend developers to deliver seamless end-to-end product experiences Write clean, efficient, and well-documented code Participate in code reviews and continuously improve development workflows Requirements 1 to 3 years of hands-on experience with the full MERN stack Strong proficiency in Node.js, Express.js, React.js, and MongoDB Experience with building and consuming REST/GraphQL APIs Familiarity with cloud platforms (preferably AWS) for deployment and scaling Working knowledge of Git and collaborative development workflows Ability to translate business logic into scalable backend services Strong debugging and problem-solving skills Preferred Skills Experience with Firebase Authentication, AWS Lambda, or EC2 Exposure to AI/ML-driven applications or analytics dashboards Understanding of authentication, authorization, and data privacy best practices Familiarity with Docker, CI/CD pipelines, or serverless architecture Why Work With Us Be part of a product team solving attribution and performance measurement at scale Work in a fast-moving, technically challenging environment with high ownership Join an early-stage team building the next-gen stack for the creator economy

Position: Machine Learning Scientist Location: Onsite(Mumbai) Employment Type: Full-Time Experience Required: 2 to 5 years About Nurdd Nurdd is an advanced marketing attribution platform purpose-built for the influencer economy. We help brands move beyond vanity metrics to truly understand which creators, content, and channels drive conversions. Our attribution engine leverages machine learning and real-time data to power smarter campaign decisions and direct brand-creator collaboration. As we scale our AI infrastructure, we are looking for a Machine Learning Scientist to develop models that enhance performance visibility, detect patterns in creator behavior, and drive predictive insights for marketing outcomes. Role Overview As a Machine Learning Scientist at Nurdd, you will play a key role in building the intelligence that powers our platform. You'll work closely with cross-functional teams to design and deploy ML models that enhance product functionality, drive decision-making, and deliver measurable impact. This role requires a strong foundation in applied machine learning and the ability to translate complex data into actionable insights. Responsibilities Develop machine learning models for creator scoring, performance attribution, and predictive analytics Work with data from multiple sources (social platforms, internal app events, web analytics, etc.) Collaborate with engineering teams to productionize ML pipelines and integrate outputs via APIs Build experimentation frameworks for A/B testing and model validation Continuously evaluate and improve model performance, scalability, and reliability Stay current with research in machine learning, marketing science, and attribution modeling Requirements 2 to 5 years of experience in applied machine learning or data science roles Strong foundation in supervised/unsupervised learning, classification, regression, and clustering Proficiency in Python and libraries such as scikit-learn, TensorFlow, or PyTorch Experience working with large-scale, noisy, or unstructured datasets Familiarity with ML Ops workflows and deployment on cloud platforms (AWS, GCP, etc.) Understanding of experimentation, model explainability, and performance metrics Excellent communication skills for cross-functional collaboration Preferred Skills Experience with recommendation systems or ranking models Familiarity with influencer marketing, ad tech, or consumer behavior modeling Knowledge of time-series analysis and causal inference techniques Exposure to Spark, Airflow, or similar data pipeline tools Why Work With Us Build AI models that power real-time decisions for brands and creators Solve meaningful problems at the intersection of marketing, data, and human behavior Work in a lean, fast-paced environment with high technical ownership Be part of a mission-driven product shaping the future of performance marketing

Company Description Agile Connects Pvt. Ltd. offers a state-of-the-art IoT platform for energy optimisation and asset health monitoring in commercial spaces across industries like Retail, Banking, BFSI, IT/ITES, Hospitality, and Food Chains. Our platform has helped customers reduce energy consumption by over 10% while supporting their sustainability efforts and is also used for green certifications. With capabilities such as remote monitoring and control of air-con and lighting infrastructure, schedule-based operations, and advanced temperature control via AI/ML, AgileWorks-IoT is the preferred choice for over 3000 installations and 50K managed endpoints. Our team of energy optimisation consultants assists customers in their sustainability journey. Role Description The Strategic Partnerships Development Manager will be responsible for identifying and developing strategic partnerships, driving business development activities, and executing sales strategies. This role includes creating and implementing go-to-market strategies and analyzing market trends and partnership opportunities. Your charter will be to develop & manage partners in target verticals for new-generation IoT platform focused on energy optimization & powered asset health monitoring. Hospitals Hospitality: Mid sized Hotels/Resorts Malls Distributed offices Total work experience 8-10 years Past experience in Parner management is key. In relevant domain of HVAC contracting/consulting, IOT and Building Management Systems Qualifications Skills of Strategic Partnerships and Business Development Analytical Skills to identify new partners and evaluate their effectiveness Experience in Sales and developing Go-to-Market Strategies Excellent communication and relationship building skills Ability to work independently and collaboratively in a hybrid work environment Experience in the IoT, energy optimization and/or Building Management Systems is a MUST Bachelor's degree in Business, Marketing, or a related field