7171 Machine Learning Jobs - Page 34

Hey there! Mercor is hiring Bilingual Voice Over Artists for a short-term project. Participants will work directly with a leading AI lab to improve their AI model's ability to handle and produce audio data, We are specifically looking for Voice Over Artists that are native/fluent in Bengali, This project is hiring on a rolling basis and has already kicked off, so apply as soon as possible to be considered!. Some details about the project logistics:. It will be ~8 hours/ day for a week of recording (remote). Participants will be paid $250 USD per finished hour. You'll need a working proficiency in English in addition to native proficiency in another language. Requirements:. Recording audio voiceovers of given scripts, Requirement: having a professional audio recording setup (i-e, a home studio with a professional grade mic, soundproofing, audio interface, pop filter, editing software for post production). You will have to provide your availability to be scheduled for live sessions, The application process:. Upload your resume. Complete a short virtual AI interview (does not need to be scheduled in advance). Fill out a short form with more details on your experience and a sample of your recording quality. More about us: Mercor recruits expert talent to work with top AI labs. We're based in San Francisco, CA, and are backed by investors like Benchmark, General Catalyst, Adam D'Angelo, Chris R, and Jack Dorsey, Show more Show less

Company Overview. Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people’s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign’s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM), What you'll do. Docusign is seeking a talented and results-oriented Director, Data Engineering to lead and grow the Bengaluru hub of our Global Data & Analytics Organisation. Your mission is to build the modern, trusted data foundation that powers Enterprise analytics, internal decision-making, and customer-facing insights. As a key leader, you will partner closely with Engineering, Product, GTM, Finance, and Customer Success to set the data strategy for Docusign India, focusing on data architecture, enterprise data foundation and data ingestion. During a typical day, you will drive the development of governed data products, operationalize quality and observability, and lead a high-performing team of data engineers and architects. The ideal candidate will demonstrate strong leadership, a passion for innovation in AI & data technologies, and the drive to achieve "five-nines" reliability for our data platforms, This position is a people manager role reporting to the Senior Director, Global Data & Analytics, Responsibility. Own Snowflake architecture, performance and cost governance; define modelling standards (star, data vault, or ELT-first) and enforce security/RBAC best practices. Scale our dbt codebase—design project structure, modular macros, end-to-end CI/CD and automated testing so every pull-request ships with quality gates and lineage metadata. Drive ingestion excellence via Fivetran (50 + connectors today, growing fast). Establish SLAs for freshness, completeness and incident response. Embed with business stakeholders (Finance, Sales Ops, Product, Legal & Compliance) to translate ambiguous questions into governed data products and trusted KPIs—especially SaaS ARR, churn, agreement throughput and IAM adoption metrics. Lead and inspire a high-performing team of data engineers and architects; hire, coach, set OKRs. Operationalise quality and observability using dbt tests, Great Expectations, lineage graphs and alerting so we achieve “five-nines” reliability. Partner on AI initiatives—deliver well-modelled features to data scientists. Evaluate semantic layers, data contracts and cost-optimisation techniques. Job Designation. Hybrid: Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation). Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law, What you bring. Basic. E. Advanced SQL and Python programming skills. 12+ years in data engineering with demonstrable success in an enterprise environment. 5+ years of experience as a people manager, Comfortable with Git-based DevOps. Preferred. Expert in Snowflake, dbt (production CI/CD, macros, tests) and Fivetran (setup, monitoring, log-based replication). Proven ability to model SaaS business processes—ARR/ACV, funnel, usage, billing, marketing, security and compliance. Track record building inclusive, global distributed teams. Adept at executive communication and prioritisation. Experience operationalizing data quality and observability using tools like dbt tests, data lineage, and alerting. Experience partnering on AI initiatives and delivering features for data scientists. Experience evaluating and implementing semantic layers, data contracts, and cost-optimization techniques. Life at Docusign. Working here. Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what’s right, every day. At Docusign, everything is equal, We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you’ll be loved by us, our customers, and the world in which we live, Accommodation. Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at accommodations@docusign,, If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at taops@docusign, for assistance, Applicant and Candidate Privacy Notice. 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Join us as a Vice President Climate Reporting at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionise our digital offerings, ensuring unapparelled customer experiences, You will be a key member of the Sustainability and ESG Regulation team within Finance, reporting to one of the directors within the team. They will be expected to understand, assess, and manage climate-related financial risks by combining financial expertise and provide support the Bank in enhancing disclosures and meeting regulatory demands. Additionally, they will provide data and insights that inform decision-making and support the bank's transition to a low-carbon economy, To be successful as a Vice President Climate Reporting in this role, you should have:. Strong analytical skills and capability for self-directed research and work required to resolve technical regulatory matters, Excellent written and verbal communication skills, Ability to work in a pressured environment and cope with the demands of making material recommendations, often with imperfect information and subject to review/challenge, Experience in regulatory reporting, financial reporting controls etc,. Experience working in program/ project management environment with exposure to cross-function teams, Proven ability to work under tight timelines with attention to accuracy and detail. Highly motivated self-starter and Strong planning & organizational skill. Strong Excel and presentation skills. Require producing a different set of MI/decks thus would require knowledge of PowerPoint and analytical mind-set. Desirable Skillset And Experience. Awareness of current/pending sustainability-related regulations, including but not limited to EU CSRD, CRR and Taxonomy, UK SDR, sustainable product labelling and naming rules and ESG and climate-related corporate disclosure requirements, and attentiveness to the evolving sustainability-related regulatory landscape, Experience supporting internal or external assurance of non-financial disclosures, Understanding of ESG data platforms and tools is a plus (e-g., Workiva, Artificial Intelligence environment), Qualified Accountant – ACA, CIMA, ACCA, MBA (Finance), Some Other Highly Valued Skills May Include. Confident and assertive manner. Develop relationships and manage stakeholders’ expectations professionally. Displays integrity, initiative, commitment, and credibility through interactions with colleagues and clients. Eye for detail and exception track record in managing and resolving conflict situations. Works well in a team and maintains good relations with team members. Shows enthusiasm and diligence and ensures team motivation is optimized. You may be assessed on the key critical skills relevant for success in role, such as experience in Climate Reporting or ESG ,Exp in Regulatory Reporting or External Disclosures, project management experience, This role will be based out of Noida. Purpose of the role. To understand, assess, and manage climate-related financial risks by combining financial expertise . and understanding of climate change. Support the Bank in enhancing disclosures and meeting regulatory demands. Provide data and insights that inform decision-making and support the bank's transition to a low-carbon economy, Accountabilities. Support the development of the bank's climate-related financial strategy, including risk management strategies, investment strategies, and climate action plans, Identification, assessment, and analysis of climate-related financial risks, and the development of risk assessment methodologies and tools to measure and monitor climate-related financial risks, Management of climate-related data and governance around data quality to enable measurement of the impact of climate change on the Bank’s financial position and climate strategy, Preparation and review of climate-related disclosures, and communication of climate related financial risk to senior colleagues and investors, Vice President Expectations. To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures,. If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements,. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others,. OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions,. Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment, Manage and mitigate risks through assessment, in support of the control and governance agenda, Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does, Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business, Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies, Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions, Adopt and include the outcomes of extensive research in problem solving processes, Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes, All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave, Show more Show less

Join us as a Vice President Senior Senior KDB/Q Developer at Barclays, To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. The ideal candidate is responsible and accountable for building and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data, design and implementation of data warehouse and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. The candidate is also expected for the development of processing and analysis algorithms fit for the intended data complexity and volumes in collaboration with data scientist to build and deploy machine learning models. To contribute or set strategy, drive requirements and make recommendations for change, To be successful as a Vice President Senior Senior KDB/Q Developer, you should have experience with:. Excellent Q/Kdb+ programming skills on Linux. Development experience in front office / electronic trading systems. Strong knowledge of agile and SDLC processes. Experience with Maven / Java / Git / Team City / Jira / Confluence. Some Other Highly Valued Skills May Include. Strong academic record with a numerate degree (2:1 or higher) e-g., computer science, maths, physics, engineering, Full-lifecycle development on at least 1 large commercial system, with ideal candidate focusing on significant development of large distributed Kdb+ systems. You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skill, This role is for Pune location, Purpose of the role. To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure, Accountabilities. Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data, Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures, Development of processing and analysis algorithms fit for the intended data complexity and volumes, Collaboration with data scientist to build and deploy machine learning models, Vice President Expectations. To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures,. If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements,. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others,. OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions,. Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment, Manage and mitigate risks through assessment, in support of the control and governance agenda, Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does, Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business, Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies, Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions, Adopt and include the outcomes of extensive research in problem solving processes, Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes, All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave, Show more Show less

About Agoda. Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more . Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership,?enhancing the ability for our customers to experience the world, Our Purpose – Bridging the World Through Travel. We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness, We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone, Summary. In the online travel industry, with fast changing user behavior and the increasing role played by price comparison websites, offering the best price grants disproportionate gains. Travelers chose Agoda because they are confident that with us they can find the best hotels, at the best price, In this environment, we can only achieve success by being able to optimize our prices to balance short-term margins with long-term growth employing a strategic approach to take into account the reactions from the other players in the game, from customers to hotels, from competitors to regulatory bodies, To this end, we are looking for a senior leader to craft Agoda’s global Pricing strategy and execute upon it, using a wide range of tactics and tools, from price display to machine learning algorithms, He or she will closely coordinate with Agoda’s senior management, marketing and product teams, while managing and expanding a team of talented pricing managers and analysts, What You Would Be Doing. Work with C-level executives and other internal stakeholders to craft a global pricing strategy, taking into account Agoda’s strategic priorities. Manage a multi-million dollar budget and provide visibility to internal stakeholders. Work with the Product team to build the tools to execute and monitor pricing actions and to improve price display across all channels. Work with the Market Development team to collect benchmarking data and intelligence from local markets, and to respond to moves from competitors and hotel partners. Design and deploy pricing campaigns, balancing short term financial goals with the longer term strategic imperatives. Inspire and coach a team of analysts and campaign managers and expand it by hiring talent. What you need to be good at to succeed in this role. Experience in articulating strategic issues and negotiating with C-level executives – experience in leading strategy consulting projects a plus. Excellent analytical skills – you really need to love data for this role. Ability to foster cooperation across teams and across nationalities. People management – track record of hiring and developing stars. P&L management. Entrepreneurial spirit, get-things-done attitude. 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Equal Opportunity Employer. At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics, We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy , Disclaimer. We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee, Show more Show less

Job description. Are you a detail-oriented individual with a passion for research and a good understanding of national and local geography? This freelance opportunity allows you to work at your own pace and from the comfort of your own home, A Day in the Life of an Online Data Analyst:. In this role, you will be working on a project aimed at enhancing the content and quality of digital maps that are used by millions of people worldwide. Completing research and evaluation tasks in a web-based environment such as verifying and comparing data, and determining the relevance and accuracy of information, Join us today and be part of a dynamic and innovative team that is making a difference in the world!. TELUS Digital AI Community. Our global AI Community is a vibrant network of 1 million+ contributors from diverse backgrounds who help our customers collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact supporting the machine learning models of some of the world’s largest brands, Qualification path. No previous professional experience is required to apply to this role, however, working on this project will require you to pass the basic requirements and go through a standard assessment process. This is a part-time long-term project and your work will be subject to our standard quality assurance checks during the term of this agreement, Basic Requirements. Full Professional Proficiency in English & Hindi language. Being a resident in India for the last 2 consecutive years and having familiarity with current and historical business, media, sport, news, social media, and cultural affairs in India, Ability to follow guidelines and conduct online research using search engines, online maps, and website information. Flexibility to work across a diverse set of task types, including maps, news, audio tasks, and relevance. Daily access to a broadband internet connection, computer, and relevant software. Assessment. In order to be hired into the program, you’ll take an open book qualification exam that will determine your suitability for the position and complete ID verification. Our team will provide you with guidelines and learning materials before your qualification exam. You will be required to complete the exam in a specific timeframe but at your convenience, Equal Opportunity. All qualified applicants will receive consideration for a contractual relationship without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. At TELUS Digital AI, we are proud to offer equal opportunities and are committed to creating a diverse and inclusive community. All aspects of selection are based on applicants’ qualifications, merits, competence, and performance without regard to any characteristic related to diversity, ???? After Applying. Once you’ve submitted your application, please provide the above details at your earliest convenience to mark.mendoza05@telusdigital, with the subject line: Application to Online Data Analyst Hindi (LinkedIn). This helps our recruitment team track your application and provide timely updates, We look forward to hearing from you!. Show more Show less

Role Expectations: As a Senior MLOps Engineer, you will be responsible for a wide range of engagements, listed below: Can guide the team to build a scalable MLOps platform and work with business architects to implement and expand the MLOps setup. Has worked on deploying ML models to production and has experience with model monitoring, inferencing, drift concepts, feature stores, etc. Has a good understanding of how ML algorithms work and how to debug issues in the code. Has deployed applications using containers and container orchestration Manages conversations with client stakeholders to understand requirements and translate them into technical outcomes. Responsible for bridging the gap between machine learning and software engineering, focusing on deployment, scaling, and management of ML models in production environments. A developer focused on streamlining the process of developing, deploying, and maintaining ML systems to ensure they are efficient, scalable, and reliable. Has a strong conceptual understanding of the ML lifecycle and various ML algorithms. Has worked on at least one cloud platform and its ML-as-a-Service offerings. Qualifications: Technical: Strong understanding of DevOps practices and skilled in developing end-to-end CI/CD pipelines • Execution knowledge of data modeling, databases (SQL and NoSQL), software development lifecycle practices, unit testing, functional programming, etc. Experience with one or more ML-as-a-Service platforms, such as Azure DevOps, Dataiku, or equivalent open-source tools Proficient in at least one programming language used in data engineering, such as Python Strong knowledge of Snowflake Experience working on at least one cloud platform Non-Technical: Good business Logical thinking and problem-solving Ability to collaborate effectively Capable of analysing problems and developing actionable, tactical plans quickly Good managerial skills and team leadership capabilities Strong verbal and written communication skills Good stakeholder management skills Exercises independent judgment within defined practices and procedures Demonstrated ability to mentor juniors

About Us:. Our mission at micro1 is to match the most talented people in the world with their dream jobs. If you are looking to be at the forefront of AI innovation and work with some of the fastest growing companies in Silicon Valley, we invite you to apply for a role. By joining the micro1 community, your resume will become visible to top industry leaders, unlocking access to the best career opportunities on the market.. Job Summary:. We are seeking an innovative and highly skilled AI Engineer to join our customer’s team. In this dynamic role, you will design and deploy advanced Generative AI and LLM solutions, driving impactful real-world applications. Your expertise will directly shape our customer’s AI products, working in a collaborative, forward-thinking environment.. Key Responsibilities:. Develop, fine-tune, and deploy Large Language Models (LLMs) and Generative AI applications for production environments.. Engineer robust RAG (Retrieval Augmented Generation) pipelines utilizing vector stores such as FAISS, Pinecone, or Weaviate.. Implement and optimize prompt engineering strategies for enhanced performance of commercial and open-source LLMs (OpenAI, Anthropic, Hugging Face, etc.).. Integrate NLP techniques and transformer architectures to boost customer’s product capabilities.. Collaborate cross-functionally to define AI-driven product features and recommend technical enhancements.. Write clean, efficient Python code while adhering to best practices in code quality and documentation.. Communicate technical concepts effectively in both written and verbal forms with stakeholders and team members.. Required Skills and Qualifications:. Strong programming proficiency in Python for AI/ML projects.. Hands-on experience with LLM frameworks such as LangChain or Haystack.. Proficient in designing and deploying RAG pipelines, including leveraging vector database technologies (e.g., Redis, FAISS, Pinecone, Weaviate).. Deep understanding of NLP fundamentals and transformer models.. Demonstrated experience with both commercial and open-source LLMs.. Expertise in prompt engineering and embeddings.. Exceptional written and verbal communication abilities, with an emphasis on clarity and collaboration.. Preferred Qualifications:. Experience deploying GenAI applications at scale in production environments.. Background in designing customer-facing AI solutions.. Prior experience collaborating in hybrid or distributed teams.. Show more Show less

Minimum qualifications:. Bachelor's degree or equivalent practical experience.. 8 years of experience in software development.. 8 years of experience in developing infrastructure or solutions within cross-functional engineering environments.. 5 years of experience with design and architecture, and testing/launching software products.. Preferred qualifications:. Master’s degree or PhD in Engineering, Computer Science, or in a related technical field.. 8 years of experience with data structures/algorithms.. 7 years of experience in leading technical project strategy, Machine Learning (ML) design, and optimizing ML infrastructure (e.g., data processing, debugging, fine tuning).. About the jobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.. In this role, you will help to set the technical strategy and direction for this new team of Machine Learning (ML) Infrastructure software engineers supporting work to accelerate safe and responsible Artificial Intelligence (AI) governance for Google. You will design and build infrastructure solutions that enable AI practitioners to meet their data compliance and safety requirements, while maintaining velocity and launching AI models and products.The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.. We prioritize security, efficiency, and reliability across everything we do from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.. Responsibilities. Provide technical leadership on projects by coaching a team of engineers. Collaborate with partners and stakeholders within and across the organizations to build joint roadmaps and drive outcomes.. Facilitate alignment across teams on goals, outcomes, and timelines. Manage project priorities, deadlines and deliverables.. Design, develop, test, deploy, maintain, and enhance software solutions.. Work with numerous partner teams across Core ML, Google DeepMind, Core Privacy, Safety and Security (PSS), and Core Data. You will span across all levels of the stack, from high level Machine Learning (ML) tooling and frameworks (e.g., TuneLab, Gemax), to common ML services (e.g., XManager, TF Hub, Servomatic), to storage infrastructure (e.g., Colossus, Homunculus).. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .. Show more Show less

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Hyderabad, Telangana, India; Bengaluru, Karnataka, India; Gurugram, Haryana, India.Minimum qualifications:. Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.. 3 years of experience in building Machine Learning or Data Science solutions.. Experience in Python, Scala, R, or related, with data structures, algorithms, and software design.. Ability to travel up to 30% of the time as needed.. Preferred qualifications:. Experience with recommendation engines, data pipelines, or distributed machine learning with data analytics, data visualization techniques and software, and deep learning frameworks.. Experience in software development, professional services, solution engineering, technical consulting with architecting and rolling out new technology and solution initiatives.. Experience with Data Science techniques.. Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, Extract, Transform, and Load/Extract, Load and Transform (ETL/ELT) and reporting tools and environments.. Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks.. Excellent communication skills.. About the jobThe Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.. In this role, you will play a role in ensuring that customers have the best experience moving to the Google Cloud machine learning (ML) suite of products. You will design and implement machine learning solutions for customer use cases, leveraging core Google products. You will work with customers to identify opportunities to transform their business with machine learning, and will travel to customer sites to deploy solutions and deliver workshops designed to educate and empower customers to realize the potential of Google Cloud. You will have access to Google’s technology to monitor application performance, debug and troubleshoot product code, and address customer and partner needs.You will lead the execution of adopting the Google Cloud Platform solutions to the customer’s requirements.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.. Responsibilities. Deliver big data and machine learning solutions and solve technical customer tests.. Act as a trusted technical advisor to Google’s customers.. Identify new product features and feature gaps, provide guidance on existing product tests, and collaborate with Product Managers and Engineers to influence the roadmap of Google Cloud Platform.. Deliver recommendations, tutorials, blog articles, and technical presentations adapting to different levels of business and technical stakeholders.. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .. Show more Show less

About us:. Our mission at micro1 is to match the most talented people in the world with their dream jobs. If you are looking to be at the forefront of AI innovation and work with some of the fastest growing companies in Silicon Valley, we invite you to apply for a role. By joining the micro1 community, your resume will become visible to top industry leaders, unlocking access to the best career opportunities on the market.. Job Summary:. Join our customer's team as a Software Developer and play a pivotal role in building high-impact backend solutions at the forefront of AI and data engineering. This is your chance to work in a collaborative, onsite environment where your technical expertise and communication skills will drive the success of next-generation AI/ML applications.. Key Responsibilities:. Develop, test, and maintain scalable backend components and microservices using Python and PySpark.. Build and optimize advanced data pipelines leveraging Databricks and distributed computing platforms.. Design and administer efficient MySQL databases, focusing on data integrity, availability, and performance.. Integrate machine learning models into production-grade backend systems powering innovative AI features.. Collaborate with data scientists and engineering peers to deliver comprehensive, business-driven solutions.. Monitor, troubleshoot, and enhance system performance using Redis for caching and scalability.. Create clear technical documentation and communicate proactively with the team, emphasizing both written and verbal skills.. Required Skills and Qualifications:. Proficient in Python for backend development with strong coding standards.. Practical experience with Databricks and PySpark in live production environments.. Advanced knowledge of MySQL database design, query optimization, and maintenance.. Solid foundation in machine learning concepts and deploying ML models in backend systems.. Experience utilizing Redis for effective caching and state management.. Outstanding written and verbal communication abilities with strong attention to detail.. Demonstrated success working collaboratively in a fast-paced onsite setting in Hyderabad.. Preferred Qualifications:. Background in high-growth AI/ML or complex data engineering projects.. Familiarity with additional backend technologies or cloud-based platforms.. Experience mentoring or leading technical teams.. Be a key contributor to our customer's team, delivering backend systems that seamlessly bridge data engineering and AI innovation. We value professionals who thrive on clear communication, technical excellence, and collaborative problem-solving.. Show more Show less

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Gurugram, Haryana, India; Bengaluru, Karnataka, India; Hyderabad, Telangana, India.Minimum qualifications:. Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.. Experience building Machine Learning or Data Science solutions.. Experience writing software in Python, Scala, R, or similar.. Experience with data structures, algorithms, and software design.. Ability to travel up to 30% of the time.. Preferred qualifications:. Experience working with recommendation engines, data pipelines, or distributed machine learning, data analytics, data visualization techniques and software, and deep learning frameworks.. Experience in software development, professional services, solution engineering, technical consulting, architecting and rolling out new technology and solution initiatives.. Experience with core Data Science techniques.. Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments.. Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks.. Excellent customer-facing communication and listening skills.. About The Job. The Google Cloud Platform team helps customers transform and build what's next for their business, all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers, developers, small and large businesses, educational institutions and government agencies see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.. As a Cloud Engineer, you will play a key role in ensuring that customers have the best experience moving to the Google Cloud machine learning (ML) suite of products. You will design and implement machine learning solutions for customer use cases, leveraging core Google products. You will work with customers to identify opportunities to transform their business with machine learning, and will travel to customer sites to deploy solutions and deliver workshops designed to educate and empower customers to realize the full potential of Google Cloud. You will have access to Google’s technology to monitor application performance, debug and troubleshoot product code, and address customer and partner needs. In this role, you will lead the timely execution of adopting the Google Cloud Platform solutions to the customer’s requirements.. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.. Responsibilities. Deliver effective big data and machine learning solutions and solve technical customer issues.. Act as a technical advisor to Google’s customers.. Identify new product features and feature gaps, provide guidance on existing product issues, and collaborate with Product Managers and Engineers to influence the roadmap of Google Cloud Platform.. Deliver best practice recommendations, tutorials, blog articles, and technical presentations adapting to different levels of key business and technical stakeholders.. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .. Show more Show less

Minimum qualifications:. Bachelor's degree or equivalent practical experience.. 5 years of experience in product management.. Preferred qualifications:. Experience with AI/ML powered products or features.. Experience working with technical teams (i.e., engineers, data scientists) along with understanding of software development methodologies, such as Agile/Scrum.. Knowledge of concepts of Artificial Intelligence and Machine Learning (e.g., NLP, predictive modeling).. Ability to work with data and analytics tools to inform product decisions.. Ability to work independently and as part of a team and manage multiple tasks and prioritize in a fluid environment.. About The Job. At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.. In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.. One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.. Responsibilities. Drive the entire product lifecycle, from ideation to launch and iteration. Conduct user and market research to define the AI product outlook and strategy, translating this into detailed requirements and user stories for our engineering team.. Work with AI/ML engineers and data scientists, prioritizing features and guiding daily development within an agile framework. Foster collaboration between technical teams and HR stakeholders to ensure alignment and communication.. Advocate a data-driven, user-centric approach, leveraging analytics and feedback to build AI solutions that address the needs of the HR professionals and employees.. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .. Show more Show less

Job Description. We are seeking exceptional experienced Quantitative Traders to build / lead our Quant Team and start trading.. Requirements. If you are building and executing consistent profitable trading strategies and meet the following criteria, then we would like to you to become part of our team:. B Tech, MSc or PhD from a top school in Maths, Physics, Computer Science etc.. Expertise in statistical techniques, experience conducting on large datasets. Programming proficiency in either C/C++, Java, Python, R, Matlab etc.. Ability to work independently or as a part of a team, and to lead a project from whiteboard to code implementation. Prior experience with algorithmic trading or familiarity with high-frequency financial data is a MUST.. Minimum 2+ years of experience in the financial markets. Very strong communication skillsability to present ideas and strategies clearly and interact well with both peers as well as senior management.. Responsibilities. Drive and passion to lead a team and to work in an open, creative and collaborative start-up environment.. The profile of the person is one who would be on the trading desk with experience trading in any markets across the world.. Building strategies that are consistently profitable and have a proven track record (not just back tested results); we are open to all market and all asset classes. Risk Management and Hedging. Analysis of market volatility. Excellent Return on Capital. Experience at a top Trading firm or HFT based firm. Excellent leadership qualities. Analysis of trading performance and development of new logic to improve trading performance. Evaluation of performance of existing and new trading strategies. Optimisation of the performance of strategies. Work closely with developers to manage the development of sophisticated trading/risk system which includes understanding requirements, developing new functionality etc. Experience of working on quantitative or statistical arbitrage or machine learning based strategies will be preferred.. Show more Show less

hackajob is collaborating with LexisNexis Risk Solutions to connect them with exceptional tech professionals for this role.. Rust Developer @ IDVerse. Full time — Remote — AU / US. Join a strong team of passionate engineers and build a world-class platform to fight identity fraud at a global scale. In Rust.. The Position. You will work in close collaboration with our SVP of Architecture, our engineering team, and our product team to:. Write and re-write hardened, documented, and tested weband API-based applications. Build our growing collection of libraries. Define and enforce best practices of an expanding Rust team A fair chunk is green-field work (and no, it's not crypto-currency/blockchain related ) (even our front-end applications are written in Rust, using Leptos for the WASM (and Tailwind for CSS)). We prefer event-based architectures, cloud (AWS) and serverless. Only the good stuff.. Needed Qualifications. Whilst technical competence is critical, we place great emphasis on passion, communication and collaboration across the business.. You have solid experience creating and maintaining web-based and API-based applications (in Rust or not). You can demonstrate having built non-trivial Rust projects, ideally web-related. You are comfortable with JavaScript/TypeScript. You are able to communicate clearly, both in writing and orally, and collaborate effectively with a remote team. You understand that documentation is half the battle, and that untested code is broken code. You know it takes time to build anything correctly, and you also know how to "get things done" when the situation calls for it. You are autonomous, but also know it's better to ask than to guess. You are dependable, responsible, and committed.. Nice-to-Haves. It would be even more awesome if you have experience:. Building front-end WebAssembly applications (with Leptos, maybe?). Solving problems with machine learning. Developing for/with AWS Serverless technologies (API Gateway, Lambda, DynamoDB...). Location and Time Zone. Our team is globally distributed and fully remote. The higher concentration is based around the Australian / East Asia time zones. For this role, we'll be looking at any location, but will favour either the American or European time zones.. About Us. IDVerse is a Sydney-based start-up that is a global pioneer in the development of digital identity verification technology. We've built everything from the ground up and have a broad range of blue-chip customers across banking, telecommunications, government, and more. We've perfected the technology locally in Australia and New Zealand, and are quickly expanding into the northern hemisphere. We're still a small team, and take pride in making it smart and inclusive. The position is remote and the work week can be flexible. Remuneration will be competitive and based on experience. We encourage people from all backgrounds and genders to apply to this position. As an early member of the team, you will have a great impact on its future shape.. Instructions On How To Apply. Send an email to devjobs@idverse.com with Rust Up! in the title (be exact, we have automated filters that will discard anything else. This is your first test!). Write a few lines about you and attach your rsum. Add any link you think will help us assess both your soft and hard skills. If you pique our interest, we'll set up a video call and go from there.. Show more Show less

Minimum qualifications:. Bachelor's degree or equivalent practical experience.. 8 years of experience in product management or related technical role.. Preferred qualifications:. Experience working in an Agile development environment, along with understanding of Machine Learning (ML) concepts, data science methodologies, and ML Operations principles.. Experience in HR technology, Human Capital Management (HCM), or a related domain.. Experience with cloud platforms and data analytics tools along with ability to work with datasets and derive insights.. Excellent communication and presentation skills along with the ability to influence cross-functional teams.. Excellent leadership, coaching, and team-building skills.. About The Job. At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.. In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.. One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.. Responsibilities. Define and advocate a product direction and roadmap. Conduct market and user research to uncover opportunities for AI innovation. Guide a team of Product Managers, supporting their growth and establishing standard procedures in product discovery and go-to-market strategies.. Lead the entire product lifecycle, translate complex business needs into product requirements, work with Engineering and Data Science to ensure feasibility.. Cultivate a empathy for HR processes and users, for driving transformational change.. Serve as the liaison between business stakeholders and technical teams, communicate progress and expectations.. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .. Show more Show less

BeGig is the leading tech freelancing marketplace. We empower innovative, early-stage, non-tech founders to bring their visions to life by connecting them with top-tier freelance talent. By joining BeGig, you're not just taking on one role—you’re signing up for a platform that will continuously match you with high-impact opportunities tailored to your expertise.. Your Opportunit. yJoin our network as a Computer Vision Engineer and help startups build AI systems that understand, analyze, and act on visual data. From object detection and facial recognition to medical imaging and video analytics, you'll work on real-world use cases that require state-of-the-art computer vision solutions. . Role Overvi. ewAs a Computer Vision Engineer, you wil. l:Design, train, and deploy computer vision models for specific business applicatio. nsWork with image, video, or 3D data to extract insights and automate workflo. wsCollaborate with teams to integrate CV models into scalable produc. ts. What You’ll. DoBuild and fine-tune models for classification, detection, segmentation, tracking, or. OCRUse libraries like OpenCV, PyTorch, TensorFlow, Detectron2, or Y. OLOPreprocess and augment datasets to improve model robustn. essDeploy models using APIs, edge devices, or cloud-based inference to. olsMonitor performance and continuously optimize for accuracy and sp. eed. Technical Requirem. ents3+ years of experience in computer vision or deep lear. ningProficient in Python and frameworks like PyTorch, TensorFlow, or K. erasExperience with OpenCV, scikit-image, and image/video processing pipel. inesFamiliarity with model deployment using ONNX, TensorRT, or cloud serv. icesBonus: experience with real-time CV, synthetic data, or 3D vi. sion. What We’re Lookin. g ForA hands-on developer who can take vision-based problems from idea to produ. ctionA freelancer who enjoys working with data-rich products and diverse use. casesSomeone who can collaborate with both technical and product teams to deliver real i. mpact. Why J. oin UsWork on challenging computer vision projects across indu. striesFully remote and flexible freelance opportu. nitiesGet matched with future roles in CV, AI, and edge depl. oymentJoin a growing network solving real-world problems with intelligent vision s. ystems. Ready to bring vision to life? Apply now to become a Computer Vision Engineer with. BeGig.. Show more Show less

We re working at the forefront of tech to create products that make our planet more sustainable and liveable. Whether you re a designer, engineer, marketer, or writer we re always open to talented individuals to join our team. This is an opportunity to work in the most dynamic and fastest-growing industry worldwide. Join our expanding team to work with some of the leading exponents of sustainability management globally. Candidates interested in the position are requested to apply here. About LogicLadder: LogicLadder is a Sustainability Management software platform company based out of Gurgaon. Our product acquires enterprise-wide environment, energy and water data in realtime. Advanced Machine Learning models learn and predict anomalies, detect non-compliance, and uncover opportunities to act upon. Hundreds of the leading companies in the world use our platform to monitor, coordinate, and achieve their sustainability goals and meet environmental compliance. For more information please visit www.logicladder.com This role is ideal for someone who is passionate about using data-driven email campaigns to drive engagement, lead generation, and product awareness especially in a mission-driven, sustainability-focused environment. As our Marketing Specialist - Email , you ll be at the heart of campaigns that drive business adoption of ESG reporting, carbon accounting, decarbonization and sustainability digitization. Primary responsibilities include: Create, schedule, and optimise email campaigns for product launches, webinars, and lead nurturing. Track open rates, CTRs, and conversion rates to refine performance. Conduct data mining to identify potential leads, segment audiences, and enrich contact databases. Manage and maintain email lists, including regular list segmentation, cleaning, and monitoring for optimal deliverability. Collaborate cross-functionally with product, sales, and design teams to ensure consistent and aligned messaging across all campaigns. Implement and manage A/B testing, drip campaigns, and email automation workflows to improve customer engagement. Use platforms such as Zoho Campaigns, Zoho CRM, and Apollo.io for email execution and tracking. Conduct competitive research to identify opportunities and enhance current email strategies. Requirements Strong understanding of email marketing tools such as Zoho Campaigns, and CRM platforms like Zoho CRM or Apollo (preferred). Basic knowledge of email marketing best practices, automation, and analytics. Passionate about sustainability and using marketing to drive meaningful change. Strong analytical mindset and attention to detail. Bachelor s or Master s degree in BCA, B.Tech , or a related field Experience in a digital marketing agency is a plus. 1-4 years of experience in email or digital marketing . Benefits Opportunity to work in a fast-growing climate-tech company with real-world impact. Exposure to cutting-edge digital tools and marketing platforms. Collaborative and inclusive team culture. Opportunities for career growth, cross-functional learning, and ownership. Flexible working hours and a mission-driven team committed to sustainability. 5 Days working, Mon-Fri (Work from Office) We cover Medical Insurance (family floater policy covering employee, spouse and up to 2 kids) Personal accidental insurance for you. Great company culture. Exposure to the fastest growing domain. We offer gratuity.

About: Newton School has formed a powerful partnership to drive transformation in the world of technology and education. Newton School, dedicated to bridging the employability gap, has partnered with Rishihood University, Sonipat, Indias first impact university, and Ajeenkya DY Patil University, Pune. Together, we will be revolutionizing education, empowering students, and shaping the future of technology. With a team of experienced professionals and renowned investors, we are united in our mission to solve the employability challenge and make a lasting impact on society. Key Responsibilities: Teach Applied AI/ML: Design and deliver practical, project-based courses in AI/ML (e.g., Python for ML, Statistics, ML Algorithms, Deep Learning, NLP, CV, ML Ops, GenAI). Develop Industry-Relevant Curriculum: Help design and update the AI/ML curriculum to reflect current industry tools, techniques, and best practices, incorporating your own professional experience and case studies. Mentor Student Projects: Guide students through hands-on AI/ML projects, providing technical direction, code reviews, and feedback based on industry standards. Guide & Mentor Students: Advise students on developing practical skills, understanding career paths in AI/ML, and preparing for internships and job placements. Stay Current: Keep your expertise sharp on the latest AI/ML trends and technologies, bringing that knowledge into the classroom. Collaborate: Work closely with other industry-expert faculty and staff to create a unified and effective learning experience. Assess Practical Skills: Create and evaluate assignments, projects, and assessments focused on measuring practical application and understanding. Required Qualifications & Experience: Bachelors or Masters degree in Computer Science, Engineering, Data Science, AI/ML, or a similar field. (A PhD is valued but not required.) Minimum 2-5 years of direct, hands-on professional experience in the tech industry as an AI/ML Engineer, Data Scientist, Research Scientist, or similar role involving significant AI/ML development and deployment. Proven Industry Track Record: Demonstrable experience building, training, and deploying machine learning models (including deep learning) to solve real-world problems. Deep AI/ML Understanding: Strong grasp of core ML algorithms (classical & deep learning - CNNs, RNNs, Transformers), underlying theory, model evaluation, statistics, and current research/industry trends. Passion for Teaching/Mentoring: Clear ability and enthusiasm for explaining complex technical topics and guiding others. Experience in corporate training, mentoring junior team members, leading workshops, creating technical content, or supervising projects is highly relevant. (Formal academic teaching experience is not a prerequisite.) Required Skills: Technical : Expert-level Python programming. Proficiency with data science libraries (Pandas, NumPy, Scikit-learn). Hands-on experience with ML/DL frameworks (TensorFlow, PyTorch). Strong SQL and data handling skills. Understanding of ML Ops practices and tools (Git, Docker, Cloud platforms - AWS/GCP/Azure). Knowledge of key AI areas (NLP, Computer Vision, Generative AI/LLMs). Communication: Excellent ability to explain technical concepts clearly to students. Strong mentoring skills. Collaboration: Team-oriented approach. Passion: Genuine interest in education and student success within an innovative, practical learning environment. Good-to-Have: Prior teaching experience at the undergraduate or graduate level. Familiarity with modern teaching methodologies and academic tools. Perks & Benefits Competitive salary packages aligned with industry standards. Access to state-of-the-art labs and classroom facilities. Contribution to cutting-edge academic work in collaboration with the Newton School of Technology and Rishihood University. About: Newton School has formed a powerful partnership to drive transformation in the world of technology and education. Newt ...

Overview About Business Unit: As part of the Digital Integration Services team, you ll be at the forefront of modernizing marketing and delivering transformative solutions. From creating data-driven, personalized experiences that customers truly value to turning marketing visions into reality - we empower brands to achieve their goals. Our global team of 1,200 experts in strategy, analytics, creative, and digital experience uses innovative technology and data-driven insights to craft meaningful, customer-centric strategies for the world s leading brands. Organization Objective/Purpose: This position in the Engineering team under the CIS organization. We drive the first mile of the customer experience through personalization of offers and content. We are currently on the lookout for a smart, highly driven software engineer. You will be part of a team that is focused on building solutions, pipelines using latest software engineering design principles and tech stacks. You will also be expected to Identify, design, and implement improvements including re-designing infrastructure for greater scalability, optimizing data delivery and automate continuous integration and deployment processes/pipelines. The incumbent is also expected to partner with various collaborators, bring scientific rigor to design and develop high quality software. She / He also must have excellent verbal and written communication skills and be comfortable working in an ambitious, startup environment within a larger company. Click here to view how Epsilon transforms marketing with 1 View, 1 Vision and 1 Voice. Responsibilities Develop solutions for Epsilon that will deliver high quality personalized recommendations across different channels to our customers Working with Data science team to ensure flawless integration and support of machine learning models. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS big data technologies. Develop end-to-end (Data/Dev/MLOps) pipelines based on in-depth understanding of cloud platforms, AI/ML lifecycle, and business problems to ensure solutions are delivered efficiently and sustainably. Collaborate with other members of the team to ensure high quality work Learning and implementing the latest design patterns in software engineering Qualifications Bachelor s Degree or equivalent experience in Engineering and related field with 2+ years of similar experience Tech Stack: Python, PySpark, Micro services, Docker, Serverless Frameworks & Databricks. Hands on experience building ETL workflows/pipelines Experience in relational and non-relational databases and SQL (NoSQL is a plus). Experience with Cloud technologies (AWS or Azure) Experience building Data and CI/CD/MLOps pipelines Familiarity with Airflow and MLFlow tools Familiarity with automated unit/integration test frameworks Experience working on AdTech or MarTech technologies is added advantage Knowledge of machine learning algorithms and concepts and implementation will be a plus Good written and spoken communication skills, great teammate. Strong analytic thought process and ability to interpret findings Data Management Experience with both structured and unstructured data, and Hadoop, Apache Spark, or similar technologies Good understanding of Data Modeling, Data Warehouse, Data Catalog concepts and tools Experience with Data Lake architectures, and with combining structured and unstructured data into unified representations Able to identify, join, explore, and examine data from multiple disparate sources and formats Ability to reduce large quantities of unstructured or formless data and get it into a form in which it can be analyzed Ability to deal with data imperfections such as missing values, outliers, inconsistent formatting, etc. Ability to manipulate large datasets, (millions of rows, thousands of variables) Software Development Ability to write code in programming languages such as Python, PySpark and shell script on Linux Familiarity with software development methodology such as Agile/Scrum Love to learn new technologies, keep abreast of the latest technologies within the cloud architecture, and drive your organization to adapt to emerging standard methodologies Architecture and Infrastructure Architectural design experience on AWS. Experience in delivering software with AWS EC2, S3, EMR/Glue, Lambda, Data Pipeline, CloudFormation, Redshift etc. Good knowledge of working in UNIX/LINUX systems Additional Information Epsilon is a global data, technology and services company that powers the marketing and advertising ecosystem. For decades, we ve provided marketers from the world s leading brands the data, technology and services they need to engage consumers with 1 View, 1 Vision and 1 Voice. 1 View of their universe of potential buyers. 1 Vision for engaging each individual. And 1 Voice to harmonize engagement across paid, owned and earned channels. Epsilon s comprehensive portfolio of capabilities across our suite of digital media, messaging and loyalty solutions bridge the divide between marketing and advertising technology. We process 400+ billion consumer actions each day using advanced AI and hold many patents of proprietary technology, including real-time modeling languages and consumer privacy advancements. Thanks to the work of every employee, Epsilon has been consistently recognized as industry-leading by Forrester, Adweek and the MRC. Epsilon is a global company with more than 9,000 employees around the world. Epsilon has a core set of 5 values that define our culture and guide us to bring value for our clients, our people and consumers. We are seeking candidates that align with our company values, demonstrate them and make them meaningful in their day-to-day work: Act with integrity. We are transparent and have the courage to do the right thing. Work together to win together. We believe collaboration is the catalyst that unlocks our full potential. Innovate with purpose. We shape the market with big ideas that drive big outcomes. Respect all voices. We embrace differences and foster a culture of connection and belonging. Empower with accountability. We trust each other to own and deliver on common goals. Because You Matter YOUniverse. A work-world with you at the heart of it! At Epsilon, we believe people make the place.

About OnlineSales.ai Built by ex-Amazon ad-tech experts , OnlineSales.ai offers a future-proof Retail Media Operating System - boosting Retailer s profitability by 7% of Sales! We are an Enterprise B2B SaaS startup, based out of Pune India. With OnlineSales.ais platform, Retailers activate and delight 10x more Brands by offering an omni-channel media buying experience, advanced targeting, analytics & 2x better ROAS. Tier 1 Retailers and Marketplaces globally are accelerating their Monetization strategy with OnlineSales.ai and are innovating ahead of the market by at least 2 years. About the Role We are looking for a highly motivated and experienced Client Solutions Engineer to join our team. In this role, you will be pivotal in bridging the gap between our product and our clients needs, particularly in the pre-sales process. You will work closely with the pre-sales team to address RFPs and RFIs, design tailored solutions, and ensure seamless integration with our product offerings. What will you do @OnlineSales? Proposal & Solution Architecture: Drive successful completion of RFPs and RFIs, providing detailed and accurate information about Osmos.ais product capabilities. Client Discovery & Solutioning: Develop comprehensive and innovative solutions for clients, aligning their requirements with our product functionalities. Product Demos & POCs: Own and deliver high-impact product walkthroughs, pilot programs, and proof-of-concepts (POCs) that showcase the value of our offering. Maintain an in-depth understanding of the osmos.ai product, ensuring you can effectively address client needs and provide technical guidance. Sales Enablement: Utilize your technical knowledge to help position Osmoss offerings, identify client needs, and contribute to project scoping and proposal development. Communicate complex technical concepts clearly and concisely to both technical and non-technical stakeholders. Take ownership of deliverables, ensuring solutions perform as expected and drive business impact. Product Strategy Influence: Collaborate closely with internal and external senior stakeholders, including managers, directors, VPs, and C-suite leaders, to translate business requirements into actionable technical strategies Onboarding & Handover: Partner with customer success and delivery teams to ensure seamless onboarding and long-term value realization. You will be a great fit, if you : Have 5+ years in a client-facing, solution engineering, or product management role in a B2B SaaS, AdTech, Martech, RetailTech, or enterprise tech environment. Love turning complex product capabilities into simple and powerful client stories. Are deeply comfortable with ambiguity, and love getting things done in a fast-paced, high-growth setup. Are equally confident in a boardroom pitch and a Slack thread with product/engineering. Have strong empathy for customers, but also know how to push back with confidence and clarity. Have proven expertise in architecting and recommending solutions tailored to specific client contexts. Have strong communication and presentation skills. Have technical proficiency to understand and explain product functionalities. Have experience working with senior stakeholders and translating business needs into technical solutions. Have knowledge of technical languages / Quick Prototyping / Vibe Coding is a plus. Why OnlineSales.ai? Startup-y . We believe Startup is a mindset. It s about being scrappy, being nimble, solving tough problems with constrained resources, and more. It s about working hard and playing hard Enterprise SaaS . Opportunity to work with an Enterprise Product SaaS firm with aspirations of growing 10x across the globe AI-led Retail Tech . We are working to digitize & democratize one of the most exciting and growing verticals - Retail Tech leveraging data, machine learning, and automation (culmination of ad-tech, mar-tech, and analytics for Retail vertical) Meaningful work . This is not just a job. You can find a job anywhere. This is a place for the bold to get paid who make a real impact on business No red tape . Say goodbye to pointless meetings or political hoops to jump through. We re scrappy, believe in autonomy, and empower our teams to do whatever it takes to do the unthinkable Problem Solving . We ignite the best in you. We exist not only to deliver meaningful innovation but to ignite and inspire the creative problem-solver in you Quirky & fun . Enjoy new skills and hobbies like being a quiz master, playing board games, trying your hands on percussion, playing Djembe, and spreading love within the org!

Product Manager, Billing Bengaluru, Karnataka, India Apply now Share Company Overview At Zuora, we do Modern Business . We re helping people subscribe to new ways of doing business that are better for people, companies and ultimately the planet. It s an approach resulting from the shift to the Subscription Economy that puts customers first by building recurring relationships instead of one-time product sales and focuses on sustainable growth. Through our leading expertise and multi-product suite, we are transforming all industries and working with the world s most innovative companies to monetize new business models, nurture subscriber relationships and optimize their digital experiences. The Team & Role As a Product Manager for Usage billing at Zuora, you will drive innovation in consumption-based billing and flexible commitment models that are transforming how modern businesses monetize their products and services. This role focuses on building sophisticated rating engines and commitment management capabilities that support complex usage-based pricing models, working closely with engineering teams to deliver scalable, high-performance solutions. You ll be responsible for evolving Zuora s usage rating platform to support next-generation pricing models including token based systems and credit/commitments in an extensible manner. This role requires deep technical understanding of billing computations, real-time rating algorithms, and complex pricing logic while maintaining close collaboration with engineering teams to ensure optimal performance and scalability. The position offers exposure to cutting-edge pricing innovation serving companies ranging from high-growth SaaS startups to Fortune 500 enterprises, with direct impact on billions of dollars in usage-based revenue processed through the Zuora platform. What you will do: Drive Usage Rating Innovation - Own product strategy and roadmap for advanced usage rating capabilities supporting complex consumption models at enterprise scale Design Flexible Commitment Systems - Build sophisticated commitment management features including token/virtual currency management, rollover credits, flexible spending commitments, and hybrid subscription-usage models that optimize customer value Optimize Rating Performance - Work closely with engineering teams to ensure rating engines can process millions of usage events with sub-second latency while maintaining accuracy and auditability Enable Pricing Model Innovation - Create flexible frameworks that allow customers to implement novel pricing strategies including outcome-based pricing, value-based commitments, and dynamic rate adjustments Drive Technical Excellence - Collaborate with engineering on system architecture, data modeling, and algorithm optimization to deliver enterprise-grade rating capabilities Support Customer Success - Partner with customer success and implementation teams to ensure smooth deployment of complex usage-based pricing models and commitment structures What you have: 4-6 years of product management experience with at least 1-2 years focused on high volume data processing, real-time systems or financial technology platforms Strong technical foundation with understanding of rating algorithms, real-time data processing, and complex mathematical calculations in billing contexts Experience working closely with engineering teams on technical product development, including familiarity with agile methodologies and technical specification creation Knowledge of subscription and usage-based business models, including understanding of pricing strategy and revenue optimization principles Analytical mindset with ability to break down complex business requirements into technical specifications and user stories Demonstrated learning agility with track record of quickly mastering new technical domains and business concepts Bachelor s degree in Business, Computer Science, or related field Good to haves: Background in subscription billing platforms, telecom rating systems, or cloud infrastructure pricing Understanding of revenue recognition principles and financial reporting requirements Exposure to machine learning or data science applications in pricing optimization #ZEOLife at Zuora As an industry pioneer, our work is constantly evolving and challenging us in new ways that require us to think differently, iterate often and learn constantly it s exciting. Our people, whom we refer to as ZEOs are empowered to take on a mindset of ownership and make a bigger impact here. Our teams collaborate deeply, exchange different ideas openly and together we re making what s next possible for our customers, community and the world. As part of our commitment to building an inclusive, high-performance culture where ZEOs feel inspired, connected and valued, we support ZEOs with: Competitive compensation, corporate bonus program and performance rewards, company equity and retirement programs Medical, dental and vision insurance Generous, flexible time off Paid holidays, wellness days and company wide end of year break 6 months fully paid parental leave Learning & Development stipend Opportunities to volunteer and give back, including charitable donation match Free resources and support for your mental wellbeing Specific benefits offerings may vary by country and can be viewed in more detail during your interview process. Location & Work Arrangements Organizations and teams at Zuora are empowered to design efficient and flexible ways of working, being intentional about scheduling, communication, and collaboration strategies that help us achieve our best results. In our dynamic, globally distributed company, this means balancing flexibility and responsibility flexibility to live our lives to the fullest, and responsibility to each other, to our customers, and to our shareholders. For most roles, we offer the flexibility to work both remotely and at Zuora offices. Our Commitment to an Inclusive Workplace Think, be and do you! At Zuora, different perspectives, experiences and contributions matter. Everyone counts. Zuora is proud to be an Equal Opportunity Employer committed to creating an inclusive environment for all. Zuora does not discriminate on the basis of, and considers individuals seeking employment with Zuora without regards to, race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to assistance(at)zuora.com. Apply now Let s do this. You re unique and we re on a journey so let s embark on a unique journey together. We encourage you to apply to all roles that utilize your skills and ignite the passion within you. No matter where you re located, or which team you work on, you ll be part of a group of people working together to build a better world: The World Subscribed. Go ahead and apply! Internal Job Opportunities Are you a current ZEO looking to take on new challenges? If so, check out our internal job openings on our internal job board .

As a BI/DW Developer (Software Engineer), your responsibilities are to: 1. Design and implement scalable ETL/ELT pipelines using tools like SQL, Python, or Spark. 2. Build and maintain data models and data marts to support analytics and reporting use cases. 3. Develop, maintain, and optimize dashboards and reports using BI tools such as Power BI, Tableau, or Looker. 4. Collaborate with stakeholders to understand data needs and translate them into technical requirements. 5. Perform data validation and ensure data quality and integrity across systems. 6. Monitor and troubleshoot data workflows and reports to ensure accuracy and performance. 7. Contribute to the data platform architecture, including database design and cloud data infrastructure. 8. Mentor junior team members and promote best practices in BI and DW development. Skills we re looking for : Strong proficiency in SQL and experience working with large-scale relational databases (e.g., Snowflake, Redshift, BigQuery, PostgreSQL). Experience with modern ETL/ELT tools such as dbt, Apache Airflow, Talend, Informatica, or custom pipelines using Python. Proven expertise in one or more BI tools (Power BI, Tableau, Looker, etc.). Solid understanding of data warehousing concepts, dimensional modeling, and star/snowflake schemas. Strong problem-solving skills and attention to detail. Good verbal communication skills in English. Delivery focused, a go-getter! Work experience requirements : 4-8 years in BI/DW or Data Engineering roles Exposure to machine learning workflows or advanced analytics is a plus Whom this role is suited for: Available to join asap, and work from the Kochi office Experience in start-up environments preferred Job Location: Carnival Infopark, Kochi Please attach your resume to the mail* We will handle your personnal data as described in our Privacy Policy.

We are seeking an experienced and dynamic Senior Talent Acquisition Specialist to lead end-to-end recruitment efforts across key technical functions, including Data Engineering, Data Science, and Business Intelligence . This pivotal role will manage the full hiring lifecycle from creating and overseeing job requisitions and postings to partnering closely with hiring managers, building strong talent pipelines, screening candidates, and ensuring an exceptional candidate experience. The ideal candidate will bring deep expertise in the technology landscape and a proven track record in technical recruiting. This individual will thrive in a fast-paced, high-volume environment and demonstrate a passion for finding and attracting top talent. In addition to recruiting responsibilities, the Senior Talent Acquisition Specialist will play a vital role in employer branding , helping to communicate and amplify what makes our company an outstanding place to work. A strong attention to detail is essential, particularly in maintaining and optimizing the Applicant Tracking System (ATS) to ensure accurate candidate tracking and efficient reporting. Above all, we are looking for someone who is committed to delivering an exceptional candidate experience from the first impression to the final interaction while consistently representing and strengthening the Blend employer brand . Key Responsibilities Lead full-cycle recruitment across technology functions. Develop and implement effective recruitment strategies to attract top talent. Collaborate with hiring managers to understand their staffing needs and create job descriptions. Build and execute sourcing strategies to attract passive and active candidates through job boardes, social media, employee referrals, and networking Use data and analytics to track metrics such as time-to fill, source of hire and pipeline health. Manage ATS workflows, maintain accurate records. Build and maintain relationships with external recruitment agencies and job boards. Enhance employer branding initiatives to attract candidates through social media and other marketing channels. Required: 5+ years of progressive experience in talent acquisition, with a minimum of 3 years specifically focused on hiring Data Engineering, Data Science, and/or Business Intelligence professionals. De

Job Description We are on the lookout for a Machine Learning Engineer with a specialized focus on cybersecurity. The candidate should have a comprehensive understanding of the evolving landscape of cyber threats and be equipped with the skills to develop AI-driven solutions to these challenges. This role demands expertise in handling and mitigating sophisticated cyber-attacks such as ransomware, as well as ensuring high-level security in data centers and operational environments. Key Responsibilities: 1. End 2 End Machine Learning Pipeline Development: Design and manage end-to-end machine learning pipelines tailored for cybersecurity applications. Implement effective data preprocessing and feature engineering strategies specific to cyber threat detection. 2. Expertise in LLMs, Transformers, and Frameworks: Utilize large language models and transformers to analyze and predict cybersecurity threats. Proficient in frameworks like PyTorch and TensorFlow, applied in the context of cybersecurity. 3. Specialized in Cyber Threat Detection and Mitigation: Develop AI-based solutions for the detection and prevention of ransomware and other advanced cyber threats. Implement BMC (Baseboard Management Controller) level security measures for data center protection. Conduct machine learning-based behavioral analysis for routine operational environments to detect anomalies and prevent intrusion. 4. Edge Computing for Cybersecurity Applications: Optimize cybersecurity-focused machine learning models for deployment on edge devices. Address the unique challenges of implementing AI solutions in resource-constrained environments. 5. Professional and Research Expertise in Cybersecurity and AI: Prefer candidates with experience in cybersecurity and AI, with the ability to turn research into practical solutions. Actively engaging in research, staying abreast of the latest threats and technological advancements in cybersecurity. Qualifications 5+ years of experience in machine learning and cybersecurity. Bachelors or Master s degree in Computer Science, Cybersecurity, Engineering, or a related field with a focus on AI/ML. Strong