10 Regression Models Jobs

As an AI Lead/Manager located in Chennai, you will be responsible for designing and developing machine learning software solutions primarily for semiconductor device and thin film metrology. You will work closely with internal and external customers to gather requirements, build machine learning-based software solutions, and optimize algorithms for efficient implementation. Your role will also involve extending prototypes into fully functional solutions ready for internal or external use, implementing solutions using Python with TensorFlow, and providing technical support during testing phases. To be successful in this role, you must possess a strong background in machine learning, particularly using regression models and the TensorFlow framework. Additionally, experience in software architecture, modern development practices, design patterns, and writing production-quality, object-oriented code in Python or C# is required. Knowledge of parallel/distributed computing, performance profiling, and memory optimization is essential. Experience in API development and Azure DevOps is advantageous, along with familiarity in computational physics, numerical simulations, semiconductors, and electromagnetics. Candidates with at least 2 years of team leadership or management experience in machine learning algorithm engineering are preferred. The minimum qualifications include a Bachelor's, Master's, or Ph.D. in Computer Science or a related computational field with corresponding years of experience. Candidates from Tier-1 colleges like IIT, IIIT, VIT, NIT with a background in AI/ML/DL and product company experience will be highly considered for this role. Furthermore, the ability and willingness to travel worldwide to support projects at customer sites are beneficial. You will be expected to document the design and implementation of software solutions, conduct presentations internally and externally, and maintain new and existing software solutions throughout their life cycle. Your responsibilities will encompass software architecture, unit testing, API development, memory optimization, and more, ensuring the delivery of high-quality machine learning solutions in the field of semiconductor device and thin film metrology. Overall, we are seeking ML Experts with expertise in electromagnetics/CFD-ACE products, capable of contributing to cutting-edge advancements in the field of artificial intelligence and machine learning.,

As an AI Lead/Manager based in Chennai with 5 to 16 years of experience, you must possess strong skills in C++ or Python, Machine Learning (including regression models and TensorFlow framework), and Artificial Intelligence. Your educational background should include a BTech with 8+ years of experience in C++ or Python, an M.Tech with 6+ years of experience, or a PhD with 4+ years of experience in Machine Learning. Ideal candidates will have experience in AI/ML/DL from tier 1 colleges such as IIT, IIIT, VIT, NIT, and a background in working with product companies, especially engineering product companies. Additionally, candidates should meet the following preferred qualifications: - Proficiency in machine learning using regression models and TensorFlow framework - Strong foundation in software architecture, modern development practices, and design patterns - Experience in Python or C# for writing production-quality, object-oriented code - Familiarity with parallel/distributed computing, performance profiling, and memory optimization - Knowledge of API development and Azure DevOps - Exposure to computational physics, numerical simulations, and semiconductors (electrical properties, manufacturing, and metrology) Minimum qualifications include at least 2 years of experience leading or managing a team of machine learning algorithm engineers, along with a BS, MS, or PhD in Computer Science or a related computational field combined with significant years of experience. In this role, you will be responsible for designing and developing machine learning software solutions for semiconductor devices and thin film metrology. This involves collaborating with internal and external stakeholders to define requirements, building machine learning-based solutions, optimizing algorithms, and developing APIs. You will work on extending prototypes into fully functional solutions, implementing solutions in Python with TensorFlow, writing unit tests, providing technical support during testing phases, documenting software solutions, and maintaining existing solutions throughout their life cycle. If you have a passion for machine learning, strong technical skills, and a background in electromagnetics/CFD-ACE products, this position offers an exciting opportunity to contribute to cutting-edge projects in the field of AI and semiconductor technology.,

We are seeking Machine Learning (ML) Experts with expertise in electromagnetics/CFD-ACE products to join our team. As a ML Expert, your primary responsibilities will include designing and developing machine learning software solutions for semiconductor device and thin film metrology. You will collaborate with internal and external stakeholders to gather requirements and build ML-based software solutions. Your role will involve optimizing algorithms, developing APIs, and implementing solutions using Python with TensorFlow. Additionally, you will be responsible for writing unit tests, providing technical support during testing phases, and documenting the software solutions. To be successful in this role, you should have a strong background in machine learning, particularly using regression models and the TensorFlow framework. Proficiency in Python or C#, software architecture, and modern development practices is essential. Experience in parallel/distributed computing, API development, and Azure DevOps would be advantageous. Knowledge of computational physics, numerical simulations, and semiconductor technology is also desirable. The ideal candidate will have a minimum of 2 years of experience leading or managing a team of machine learning algorithm engineers. A Bachelor's degree in Computer Science with at least 10 years of experience, a Master's degree with 8 years of experience, or a PhD with 5 years of experience in a related computational field is required. Candidates with a background in Physics/Mathematics, experience in AI/ML/DL from Tier-1 colleges like IIT, IIIT, VIT, NIT, and previous work in engineering product companies, particularly in sectors such as Qualcom, Samsung, Siemens, Philips, Oracle, Adobe, Toshiba, Aerospace, Electrical, Automobile, or Hardware manufacturing, will be given preference. Good communication skills and the ability to work in a fast-paced environment are essential. The interview process will consist of 3 technical rounds, a fitment round, and an HR round. Relocation expenses are available, and candidates can work from the office for 3 days a week. International candidates willing to relocate are also encouraged to apply. Please note that candidates with experience in healthcare or banking products, or from companies like HCL and TVS, will not be considered. Screening questions regarding education qualification, technical skills, and experience will be used to assess candidate suitability for the role. If you meet the qualifications and are passionate about developing innovative ML solutions, we encourage you to apply for this exciting opportunity.,

The Data Science Lead role is a strategic position where you will stay updated on the latest developments in the field and contribute to the directional strategy by applying these developments to your job and the business. As a recognized technical authority within the company, you will need to possess basic commercial awareness. Your role will have a significant impact on the business through the delivery of complex outcomes. Communication and diplomacy skills are essential as you will be required to guide, influence, and convince others, including colleagues from different areas and occasional external customers. Your work will impact an entire area, ultimately affecting the overall performance and effectiveness of the sub-function/job family. Responsibilities: - Conduct strategic data analysis, identify insights, implications, and make strategic recommendations while developing data displays that clearly communicate complex analysis. - Mine and analyze data from various banking platforms to drive optimization and improve data quality. - Deliver analytics initiatives to address business problems, determine required data, assess time & effort, and establish project plans. - Consult with business clients to identify system functional specifications, applying a comprehensive understanding of how multiple areas integrate to achieve business goals. - Lead system change process from requirements through implementation, providing user and operational support to business users. - Formulate and define systems scope and goals for complex projects, considering business implications of technology applications and communicating risks and impacts. - Drive communication between business leaders and IT, exchange complex information, conduct workflow analysis, and develop use cases, test plans, and business rules. - Collaborate on the design and implementation of workflow solutions for scalability, reliability, performance, and integration with reporting. - Develop in-depth knowledge of supported business areas, engage business partners in evaluating process integration opportunities, and gather requirements across Business Sectors. - Partner with cross-functional teams to analyze current state processes, identify improvement opportunities, and negotiate for resources to ensure timely completion of work. - Develop and maintain documentation, train users, and communicate status, issues, and risk disposition to stakeholders. - Identify risks affecting project delivery, develop mitigation strategies when necessary, and ensure work flow business cases align with business objectives. - Develop strategies to reduce costs, manage risk, and enhance services, ensuring technology solutions meet business requirements. - Perform other assigned duties and functions. Qualifications: - MBA or Advanced Degree in Information Systems, Business Analysis, or Computer Science. - 10+ years of experience using statistical modeling tools for large data sets. - Proficiency in data handling suites such as PYTHON, Spark, R, HIVE, SAS, SQL, or similar packages. - Ability to extract strategic insights from large data sets, design and implement machine learning models, and utilize Statistical, Machine Learning, and AI techniques. - Experience in visualization tools like Tableau, POWER BI, etc. - Strong core python developer with expertise in building high-scaled software platforms for data computation. - Expert knowledge of core python concepts, libraries, computer science fundamentals, and Unix-based operating systems. - Experience with source code management tools like Bitbucket, Git, and process improvement or project management. Education: - Bachelors/University degree or equivalent experience, potentially Masters degree. Additionally, exposure to cloud platforms like AWS, Azure, GCP, and experience in the banking domain like pricing, risk, or certifications like CFA/FRM would be advantageous for this role. This job description offers a comprehensive overview of the tasks involved in the position. Other duties related to the job may be assigned as necessary.,

About VOIS VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value and enhancing quality and efficiency across 28 countries, and operating from 7 locations: Albania, Egypt, Hungary, India, Romania, Spain and the UK. Over 29,000 highly skilled individuals are dedicated to being Vodafone Group's partner of choice for talent, technology, and transformation. We deliver the best services across IT, Business Intelligence Services, Customer Operations, Business Operations, HR, Finance, Supply Chain, HR Operations, and many more. Established in 2006, VOIS has evolved into a global, multi-functional organization, a Centre of Excellence for Intelligent Solutions focused on adding value and delivering business outcomes for Vodafone. VOIS India In 2009, VOIS started operating in India and now has established global delivery centers in Pune, Bangalore and Ahmedabad. With more than 14,500 employees, VOIS India supports global markets and group functions of Vodafone and delivers best-in-class customer experience through multi-functional services in the areas of Information Technology, Networks, Business Intelligence and Analytics, Digital Business Solutions (Robotics & AI), Commercial Operations (Consumer & Business), Intelligent Operations, Finance Operations, Supply Chain Operations and HR Operations and more. Core Competencies, Knowledge and Experience: Mode: Hybrid Location: Bangalore / Pune Experience 5 to 8 years Core Competencies, Knowledge and Experience: . Minimum experience of 4 years in data science. . Excellent communication & presentation skills with track record of engaging with business project leads . Flexibility and problem solving . Previous experience in Telecom would be a distinct advantage . Graduate from tier-1 or tier-2 college preferred with good academic record Must have technical / professional qualifications: . Hands on experience in Analytical tools like Python with through knowledge of various machine learning, analytical & statistical techniques o Expert in Python . Hands on experience in NLP and Generative AI tools and large language models (LLMs) like gemini, PALM, open source LLMs, transformers. . Good to have Cloud - GCP/AWS or Big Data technologies (e.g. Hadoop, Hive, Pig, etc.) . Need to be worked on minimum 3 modelling projects till now in different areas: o Predictive Modelling Mandatory kin actual business projects with monetary impact . Exceptional data manipulation and analysis techniques comfortable using very large (>10's millions rows) datasets, containing both structured and unstructured data . Machine Learning, Deep Learning, Clustering & Segmentation, Binary & Multi-Class Classification, ML Forecasting & Regression Models . Good stability in employments and from reputed tier-1 employers in past. Key accountabilities and decision ownership: . Support build & deployment of analytical solutions (models, hypothesis, analyses & scenarios) across the spectrum of analytical maturity - descriptive, inferential, predictive & prescriptive . Leverage previously created data models, insights and analyses from across the Vodafone business to drive positive business outcomes . Drive efficiencies in how analytical services are delivered, through automation and standardisation of analytical delivery VOIS Equal Opportunity Employer Commitment VOIS is proud to be an Equal Employment Opportunity Employer. We celebrate differences and we welcome and value diverse people and insights. We believe that being authentically human and inclusive powers our employees growth and enables them to create a positive impact on themselves and society. We do not discriminate based on age, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, race, religion, sexual orientation, status as an individual with a disability, or other applicable legally protected characteristics. As a result of living and breathing our commitment, our employees have helped us get certified as a Great Place to Work in India for four years running. We have been also highlighted among the Top 5 Best Workplaces for Diversity, Equity, and Inclusion, Top 10 Best Workplaces for Women, Top 25 Best Workplaces in IT & IT-BPM and 14th Overall Best Workplaces in India by the Great Place to Work Institute in 2023. These achievements position us among a select group of trustworthy and high-performing companies which put their employees at the heart of everything they do. By joining us, you are part of our commitment. We look forward to welcoming you into our family which represents a variety of cultures, backgrounds, perspectives, and skills! Apply now, and we'll be in touch!

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device, or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards, and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research, and development. At KLA, we focus more than average on innovation and invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists, and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life at KLA is exciting, and our teams thrive on tackling really hard problems. There is never a dull moment with us. The Information Technology (IT) group at KLA is involved in every aspect of the global business. IT's mission is to enable business growth and productivity by connecting people, process, and technology. It focuses not only on enhancing the technology that enables our business to thrive but also on how employees use and are empowered by technology. This integrated approach to customer service, creativity, and technological excellence enables employee productivity, business analytics, and process excellence. We are seeking a Data Scientist/ML Engineer with experience in NLP, statistics, and Conversational AI. The ideal candidate is adept at using Statistical Modeling, Machine learning algorithms, and Conversational AI. Strong experience in using a variety of data mining/Machine Learning methods, coding algorithms, and running simulations. The right candidate will have a passion for discovering solutions hidden in large datasets and working with business partners to improve business outcomes. Responsibilities for the Data Scientist/ML Engineer role include: - Building end-to-end ML systems (Including traditional ML models and Conversational AI) and deploying them to operate at scale. - Researching and devising innovative statistical models/ML models for data analysis. - Developing and maintaining RAG (Retrieval-Augmented Generation) applications and implementing changes to algorithms to improve AI performance and retrieval techniques. - Using predictive modeling to increase and optimize customer service experience and supply chain optimization. - Identifying patterns in data using statistical modeling and developing custom data models and algorithms to apply to datasets. - Collaborating with business partners throughout the organization to find opportunities for using company data to drive solutions. - Working with project managers to establish objectives for AI systems. Minimum Qualifications: - Bachelor's degree (or equivalent) in computer science, statistics, applied mathematics, or a related discipline. - Experience solving problems with Conversational AI in a production environment for a High-tech Manufacturing Industry. - 2+ years of experience in Python and ML packages (NumPy, Keras, Seaborn, Scikit-learn). - Excellent understanding of machine learning techniques and algorithms such as Regression models, kNN, SVM, NB, Decision Trees. - Expertise/familiarity with one or more deep learning frameworks such as TensorFlow, PyTorch. KLA offers a competitive, family-friendly total rewards package designed to reflect our commitment to an inclusive environment while ensuring benefits that meet the diverse needs of our employees. KLA is proud to be an equal opportunity employer. Be aware of potentially fraudulent job postings and suspicious recruiting activity by individuals posing as KLA employees. KLA never asks for any financial compensation in exchange for an interview, employment, or equipment. Further, KLA does not work with recruiters or third parties who charge such fees. Please verify the legitimacy of job postings by checking KLAs Careers website and report any concerns to talent.acquisition@kla.com for confirmation. Privacy and confidentiality of information are handled with utmost seriousness at KLA.,

About the Role: We are seeking a Data Scientist dedicated to designing, implementing, and enhancing classification and regression machine learning models. Your primary objective will be turning raw data into predictive insights that fuel business decisions. This role excludes domains like NLP, Computer Vision, or Time Series analysis, focusing exclusively on supervised ML methods. Key Responsibilities: Extract, clean, and preprocess datasets (structured and semi-structured) for modeling and analysis, using tools like SQL and Python/R. Engineer and select impactful features, then build and optimize classification and regression models using algorithms such as logistic regression, decision trees, random forests, SVMs, and boosting methods. Conduct rigorous exploratory data analysis (EDA), validate model accuracy, and monitor performance using appropriate metrics. Collaborate with product, engineering, or analytics teams to operationalize model outputs effectively. Communicate findings through well-structured visualizations and narratives to both technical and non-technical stakeholders. Required Skills & Qualifications: Proficient in SQL for robust data extraction and manipulation. Solid programming skills in Python , including experience with machine learning libraries like scikitlearn , XGBoost , or LightGBM . Strong understanding of statistical foundations , including regression, hypothesis testing, probability, and model evaluation technique Practical experience building

The Conversational AI team at Walmart is responsible for building and deploying core AI assistant experiences across Walmart, catering to millions of active users globally. As a Staff Data Scientist, you will play a crucial role in leading the evolution of the AI assistant platform by developing highly scalable Generative AI systems and infrastructure. This hands-on leadership position requires expertise in machine learning, ASR, large-scale distributed systems, multi-modal LLMs, and more. Your responsibilities will include partnering with key business stakeholders to drive the development and planning of proof of concepts and production AI solutions within the Conversational AI space. You will be involved in translating business requirements into strategies, initiatives, and projects aligned with business objectives. Designing, testing, and deploying cutting-edge AI solutions at scale to enhance customer experiences will be a key aspect of your role. Collaboration with applied scientists, ML engineers, software engineers, and product managers will be essential in developing the next generation of AI assistant experiences. Staying updated on industry trends in Generative AI, Speech/Video processing, and AI assistant architecture patterns will be crucial. Additionally, providing technical leadership, guidance, and mentorship to a skilled team of data scientists, as well as driving innovation through problem-solving cycles and research publication, are integral parts of this role. To qualify for this position, you should have a Master's degree with 8+ years or a Ph.D. with 6+ years of relevant experience in Computer Science, Statistics, Mathematics, or a related field. A strong track record in a data science tech lead role, extensive experience in designing and deploying AI products, and expertise in machine learning, NLP, speech processing, image processing, and deep learning models are required. Proficiency in industry tools and technologies, a deep interest in generative AI, and exceptional decision-making skills will be assets in this role. Furthermore, you should possess a thorough understanding of distributed technologies, public cloud platforms, and big data systems, along with experience working with geographically distributed teams. Business acumen, research acumen with publications in top-tier AI conferences, and strong programming skills in Python and Java are also essential qualifications for this position. Join the Conversational AI team at Walmart Global Tech, where you will have the opportunity to make a significant impact, innovate at scale, and shape the future of retail while working in a collaborative and inclusive environment.,

The Associate Manager, Compliance Analytics supports the development and implementation of compliance analytics across the global compliance organization. You will be responsible for designing and developing analytical solutions, generating insights, and fostering a culture of ethics and integrity. Your role will involve transforming data from multiple systems, designing the analytics approach, and executing the analytics. Your responsibilities will include designing, developing, and maintaining analytics to provide business insights, enabling risk-intelligent decisions, informing compliance risk assessment processes, and supporting remediation activities. You will be involved in scoping, gathering requirements, developing analytics models, validating and testing models, and communicating results to stakeholders for analytics projects. Additionally, you will support the execution of analytics initiatives to enhance the Global Compliance program and provide actionable insights through data and analysis to achieve business objectives. Furthermore, you will contribute to the development of standardized analytics processes and frameworks, including documentation and validation of work. You will also be responsible for setting up sustainable analytics solutions, including data pipelines and automated refresh schedules as necessary. Collaboration with compliance officers, IT, and stakeholders to understand business objectives and provide reliable and accurate reports, insights, and analysis to inform decision-making is an essential aspect of this role. As part of your duties, you will lead a culture of continuous improvement by enhancing existing databases, data collection methods, statistical methods, technology, procedures, and training. You will partner with data custodians and process experts to ensure the quality of data and definitions to support the building of reliable data models and analysis. Additionally, coaching and developing junior team members will be a key component of this role. To qualify for this position, you should have 8+ years of relevant work experience in Python, Advanced SQL, R, Azure, Databricks, PySpark, and PowerBI. A strong knowledge and experience in advanced analytics tools and languages to analyze large data sets from multiple sources are required. A BTech in Computer Science, IT, MSc in Mathematics/Statistics, or equivalent courses from an accredited university is necessary. You should possess a strong understanding of algorithms, mathematical models, statistical techniques, data mining, and experience implementing statistical and machine learning models. Experience with analyzing accounting and other financial data, as well as demonstrating excellent ability to exercise discretion and maintain confidentiality, are essential. Knowledge and experience with data transformation and cleansing, data modeling, and database concepts are also preferred.,

As a Biostatistician, you should have a qualification of MSc/Ph.D. in Biostatistics. It is preferred to have at least 1 year of experience working with hospital data. You should have knowledge of Meta Analysis and be proficient in using the R Tool for data analysis. Your essential skills should include proficiency in R and Excel software, as well as expertise in Categorical Data Analysis, Regression Models, and Analysis of multivariate data in both frequentist and Bayesian frameworks. Your key duties will involve participating in the planning, interpretation, and implementation of research data. You will also be responsible for extracting, storing, analyzing, and delivering data to end-users in the required format. Additionally, you will be involved in identifying research objectives, designing study plans for clinical data, and executing them using appropriate statistical methods. This position is located in Bangalore and is suitable for Freelancers or Contractors. The job types available are Temporary and Freelance, with a contract length of 12 months. The benefits include the opportunity to work from home. The work schedule is fixed, with a morning shift. The ideal candidate should have a total of 3 years of work experience.,