5 Semisupervised Learning Jobs

As a software engineer at Google, you will be part of a dynamic team that develops cutting-edge technologies to revolutionize how billions of users worldwide connect, explore, and interact with information. Our projects encompass a wide range of areas such as information retrieval, distributed computing, system design, networking, security, artificial intelligence, natural language processing, UI design, and mobile technologies. Your role will involve working on pivotal projects that address Google's evolving needs, with the flexibility to transition between teams and projects as both you and our business progress. Google Play is a platform that offers a variety of digital content, including music, movies, books, apps, and games. As a member of the Android and Mobile team focusing on Google Play, you will contribute to diverse aspects such as engineering backend systems, shaping product strategies, and establishing content partnerships. Your efforts will enable users to seamlessly access their purchased content across multiple devices through cloud synchronization. Responsibilities: - Apply expertise in Machine Learning to enhance user safety. - Integrate online/offline systems with various Google platforms to access signals, features, and insights. - Collaborate with subject matter experts to set up data pipelines for analysis and machine learning modeling. - Develop, code, and enhance automated review and detection models. - Lead projects in conjunction with other shopping horizontal teams, leveraging Machine Learning expertise to define projects, solutions, and oversee implementation. Minimum Qualifications: - Bachelor's degree or equivalent practical experience. - 5 years of software development experience in one or more programming languages, along with proficiency in data structures and algorithms. - 3 years of experience with Machine Learning/Artificial Intelligence algorithms and tools, or natural language processing. - 3 years of experience testing, maintaining, or launching software products. - 1 year of experience in software design and architecture. Preferred Qualifications: - Proficiency in C++ or Python. - Knowledge of machine learning concepts such as supervised and unsupervised learning, clustering, semi-supervised learning, anomaly detection, and Large Language Model (LLM) fine-tuning. - Familiarity with data analysis and Machine Learning frameworks. - Understanding of computer science principles and Google infrastructure, including databases, operating systems, algorithms, and Machine Learning technologies.,

You should possess a qualification of M.Tech / M.E / MS / M.Sc / Ph.D in Computer Science or a related discipline (Applied Mathematics, Statistics, Electrical and/or Computer Engineering) with a focus on Artificial Intelligence / Machine Learning. A CGPA of 7.5/10 or above in UG as well as PG level (in case of percentage, 70% or above) is required. You should have a minimum of 2 years of experience. As a team member, you will be responsible for applied research, development, and validation of advanced machine learning and AI algorithms for solving complex real-world problems at scale. Collaborating closely with the product team, you will analyze business problems and product vision to innovate algorithmic solutions. Your role will involve creating prototypes and demonstrations to validate innovative ideas and translating research outcomes into productized innovation by working with AI Engineers and software engineers. Additionally, you will create and maintain research plans, conduct experiments, consolidate and document results, and publish works as appropriate. It is important to document and protect intellectual property (IP) generated from R&D efforts by collaborating with designated teams and/or external agencies. Furthermore, mentoring junior staff to ensure correct procedures are followed, and collaborating with stakeholders, academic/research partners, and peer researchers to deliver tangible outcomes will be part of your responsibilities. The ideal candidate is expected to have a strong foundation in computer science fundamentals and analyzing and designing AI/Machine learning algorithms. Hands-on experience in at least two of the following areas is required: Supervised, unsupervised and semi-supervised machine learning algorithms, Reinforcement Learning, Deep learning & Representation Learning, Knowledge-based systems (knowledge representation, reasoning, and planning; FOL, ontologies etc.), Evolutionary Computing, Probabilistic Graphical Models, Streaming, incremental, and non-stationary learning. You should be proficient in at least one programming language and have experience in implementing AI/machine learning algorithms in Python or R. Additionally, experience with tools/frameworks/libraries such as Jupyter/Zeppelin, scikit-learn, matplotlib, pandas, Tensorflow, Keras, Apache Spark, etc. would be desirable. Applied research experience of at least 2-5 years on real-world problems using AI/Machine Learning techniques is necessary. Having at least one publication in a top-tier conference/journal related to AI/Machine Learning (E.g. ICML, AAAI, NIPS, ICCV, CVPR, KDD, SIGMOD, IJCNN, IJCAI, EMNLP, ICPR, ICDM, etc.) and/or patents would be beneficial. Experience in contributing to open-source projects related to AI/Machine Learning would be considered a strong advantage. This position is for Job Code: DSM_TVM and is located in Trivandrum. For further information, please reach out via email to recruitment@flytxt.com.,

Our vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate, and advance faster than ever. As a Micron Front End Central Quality Senior Engineer, you will be a member of the worldwide quality team responsible for driving quality and reliability improvement initiatives into Front End Manufacturing network. You will work closely with Global Quality and internal customers to perform data analysis in key metrics to monitor quality and reliability health, including DPM and Uncorrectable Error (UE) metrics. Additionally, you will work with business partners to develop the strategy for continually improving product quality and reliability for Front End and supporting Time to Mature DPM program and Time to Mature Uncorrectable Error (UE) program execution. Responsibilities And Tasks Include But Not Limited To: - Design and develop methods to extract and analyze unstructured diverse Backend & Front-end data. Perform data correlations to determine the Patterns and perform the first level of debug. - Translate raw data into compelling visual stories that highlight trends, anomalies, and opportunities for improvement. - Collaborate with business partners and multi-functional teams to drive detection, Corrective and Preventive Actions in line-of-sight metrics. - Work with multi-functional team to deploy BKMs of Back End to Front End collaboration process like WL DPM forecast and RMA DPM reduction, etc. - Lead multi-functional initiatives or enabling projects that support companywide quality objectives. - Manage the projects to enable the implementation path for new initiatives. - Strong verbal and written communication skills, able to communicate the analysis and present insights to business partners. Skills And Experience You Will Need: - MS/BS or equivalent experience in Electrical or Computer Engineering. - 3 to 8 years of experience in the following areas. - Good knowledge in Semiconductor Manufacturing, common semiconductor reliability tests, and failure mechanisms. - Fluency in Python and/or R, other statistical software including scripting capability for automating analyses. - Knowledge of using statistical tools, Unix, Tableau, Power BI, JMP. - Understanding of statistics applied to data analysis, especially in Quality and reliability. - Exposure to statistical modeling, feature extraction and analysis. Good to have - supervised/unsupervised/semi-supervised learning, integrating LLM into the production environment. About Micron Technology, Inc.: Micron Technology, Inc. is an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron and Crucial brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.,

As a Data Scientist at Micron Technology in Sanand Gujarat, you will have the opportunity to play a pivotal role in transforming how the world uses information to enrich life for all. Micron Technology is a global leader in innovating memory and storage solutions, driving the acceleration of information into intelligence and inspiring advancements in learning, communication, and progress. Your responsibilities will involve a broad range of tasks, including but not limited to: - Developing a strong career path as a Data Scientist in highly automated industrial manufacturing, focusing on analysis and machine learning of terabytes and petabytes of diverse datasets. - Extracting data from various databases using SQL and other query languages, and applying data cleansing, outlier identification, and missing data techniques. - Applying the latest mathematical and statistical techniques to analyze data and identify patterns. - Building web applications as part of your job scope. - Utilizing Cloud-based Analytics and Machine Learning Modeling. - Building APIs for application integration. - Engaging in statistical modeling, feature extraction and analysis, feature engineering, supervised/unsupervised/semi-supervised learning. - Demonstrating proficiency in data analysis and validation, as well as strong software development skills. In addition to the above, you should possess above-average skills in: - Programming fluency in Python. - Knowledge of statistics, machine learning, and other advanced analytical methods. - Familiarity with javascript, AngularJS 2.0, and Tableau, with a background in OOPS considered an advantage. - Understanding pySpark and/or libraries for distributed and parallel processing. - Experience with Tensorflow and/or other statistical software with scripting capabilities. - Knowledge of time series data, images, semi-supervised learning, and data with frequently changing distributions is a plus. - Understanding of Manufacturing Execution Systems (MES) is beneficial. You should be able to work in a dynamic, fast-paced environment, be self-motivated, adaptable to new technologies, and possess a passion for data and information with excellent analytical, problem-solving, and organizational skills. Furthermore, effective communication with distributed teams (written, verbal, and presentation) and the ability to work collaboratively towards common objectives are key attributes for this role. To be eligible for this position, you should hold a Bachelors or Masters degree in Computer Science or Electrical/Electronic Engineering, with a CGPA of 7.0 and above. Join Micron Technology, Inc., where our relentless focus on customers, technology leadership, and operational excellence drives the creation of high-performance memory and storage products that power the data economy. Visit micron.com/careers to learn more about our innovative solutions and opportunities for growth. For any assistance with the application process or to request reasonable accommodations, please reach out to hrsupport_india@micron.com. Micron Technology strictly prohibits the use of child labor and complies with all applicable laws, rules, regulations, and international labor standards. Candidates are encouraged to use AI tools to enhance their application materials, ensuring accuracy and truthfulness in representing their skills and experiences. Fabrication or misrepresentation will lead to immediate disqualification. As a Data Scientist at Micron Technology, you will be part of a transformative journey that shapes the future of information utilization and enriches lives across the globe.,

As a Data Science Manager in the Research and Development (R&D) team at our organization, you will play a crucial role in driving innovation through advanced machine learning and AI algorithms. Your primary responsibility will involve conducting applied research, development, and validation of cutting-edge algorithms to address complex real-world problems on a large scale. You will collaborate closely with the product team to gain insights into business challenges and product objectives, enabling you to devise creative algorithmic solutions. Your role will entail creating prototypes and demonstrations to validate new ideas and transform research findings into practical innovations by collaborating with AI Engineers and software engineers. In addition, you will be responsible for formulating and executing research plans, carrying out experiments, documenting and consolidating results, and potentially publishing your work. It will also be essential for you to safeguard intellectual property resulting from R&D endeavors by working with relevant teams and external partners. Furthermore, part of your role will involve mentoring junior staff to ensure adherence to established procedures and collaborating with various stakeholders, academic/research partners, and fellow researchers to deliver tangible outcomes. To excel in this position, you are required to possess a strong foundation in computer science principles and proficient skills in analyzing and designing AI/Machine learning algorithms. Practical experience in several key areas such as supervised and unsupervised machine learning, reinforcement learning, deep learning, knowledge-based systems, evolutionary computing, probabilistic graphical models, among others, is essential. You should also be adept in at least one programming language and have hands-on experience in implementing AI/machine learning algorithms using Python or R. Familiarity with tools, frameworks, and libraries like Jupyter/Zeppelin, scikit-learn, matplotlib, pandas, Tensorflow, Keras, Apache Spark, etc., will be advantageous. Ideally, you should have at least 2-5 years of applied research experience in solving real-world problems using AI/Machine Learning techniques. Additionally, having a publication in a reputable conference or journal related to AI/Machine Learning or holding patents in the field would be beneficial. Experience in contributing to open-source projects within the AI/Machine Learning domain will be considered a strong asset. If you are excited about this challenging opportunity, please refer to the Job Code DSM_TVM for the position based in Trivandrum. For further details, feel free to reach out to us at recruitment@flytxt.com.,