497 Scipy Jobs - Page 16

Zenoti provides an all-in-one, cloud-based software solution for the beauty and wellness industry. Our solution allows users to seamlessly manage every aspect of the business in a comprehensive mobile solution: online appointment bookings, POS, CRM, employee management, inventory management, built-in marketing programs and more. Zenoti helps clients streamline their systems and reduce costs, while simultaneously improving customer retention and spending. Our platform is engineered for reliability and scale and harnesses the power of enterprise-level technology for businesses of all sizes Zenoti powers more than 30,000 salons, spas, medspas and fitness studios in over 50 countries. This includes a vast portfolio of global brands, such as European Wax Center, Hand & Stone, Massage Heights, Rush Hair & Beauty, Sono Bello, Profile by Sanford, Hair Cuttery, CorePower Yoga and TONI&GUY. Our recent accomplishments include surpassing a $1 billion unicorn valuation, being named Next Tech Titan by GeekWire, raising an $80 million investment from TPG, ranking as the 316th fastest-growing company in North America on Deloitte’s 2020 Technology Fast 500™. We are also proud to be recognized as a Great Place to Work CertifiedTM for 2021-2022 as this reaffirms our commitment to empowering people to feel good and find their greatness. To learn more about Zenoti visit: https://www.zenoti.com What's the Opportunity? We're looking for a skilled Software Engineer (Python/AWS) to join our innovative team! This is a fantastic chance to contribute directly to building scalable and reliable software systems on AWS. You'll be working on core services that power our SaaS platform. If you're passionate about well-engineered software, cloud-native solutions, and using modern development tools like Cursor IDE and GitHub Copilot to boost your productivity, we want to hear from you! What will I be doing? Be a part of the team working on cutting-edge AI products in the wellness industry. Design, develop, and deploy cloud-based features using Python and relevant frameworks. Collaborate with data scientists and product managers to translate business requirements into technical solutions. Leverage data analysis techniques to extract insights and improve application functionality. Write clean, maintainable, and well-documented code. Conduct code reviews and contribute to improving code quality across the team. Stay up-to-date with the latest advancements in Python, cloud technologies, and data analysis practices. Troubleshoot and debug complex technical issues. Proactively identify and implement performance optimizations. Work effectively in a cross-functional team environment. What skills do I need? Bachelor's degree in Computer Science or IT. 4 to 6 years of overall experience as a Python developer. Experience in building solutions upon AWS cloud services. Experience in using Python data analytics frameworks like numpy, pandas and scipy is a must. Exposure to ML frameworks like Tensorflow and PyTorch will be an added advantage. Benefits Attractive Compensation & Benefits Comprehensive medical coverage for yourself and your immediate family An environment where wellbeing is high on priority – access to regular yoga, meditation, breathwork, nutrition counseling, stress management, inclusion of family for most benefit awareness building sessions Opportunities to be a part of a community and give back: Social activities are part of our culture; You can look forward to regular engagement, social work, community give-back initiatives" Zenoti provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Show more Show less

About the team: The AI Core team is a small and nimble team focused on AI innovation, experimental modelling, and scientific validation. Its mission is to build highly efficient, adaptable and efficacious large models for multiple general-purpose applications in chemical metrology. To stay aligned with the mission, the team follows advancements in AI, including next-generation deep learning architectures, autonomous agents, large-scale optimization algorithms, reinforcement learning methodologies, and innovative data simulation techniques. Machine Learning Scientist The Machine Learning Scientist is critical to the AI Core team by creating AI models from the ground up and steering model development through every stage, leading to the fulfilment of the research objective. Responsibilities: Experiment with advanced architectures like CNNs, RNNs, transformers, autoencoders etc. appropriate for the research objective Develop training strategies (e.g., self-supervised learning, few-shot learning) - Optimize loss functions and metrics for performance, manage hyperparameter tuning - Optimize training pipelines and debug training failures - Develop reproducible training/evaluation pipelines. Skills: Expertise in PyTorch/TensorFlow or other frameworks Strong Python skills (NumPy, SciPy, scikit-learn) and GPU acceleration (CUDA, cuDNN) Experience with ML experiment tracking (W&B, MLflow etc.) Experience with RL frameworks (Stable Baselines3, Ray RLlib) Passion: Building AI agents with superior capabilities Qualifications: Bachelor's or Master's degree in Data Science, Computer Science, or a related technical field. 4+ years of experience in machine learning and deep learning Prior roles within AI research teams Background in chemometrics, spectroscopy, or analytical chemistry, desirable Advantage: Networks involving very large matrix operations About Picarro: We are the world's leader in timely, trusted, and actionable data using enhanced optical spectroscopy. Our solutions are used in a wide variety of applications, including natural gas leak detection, ethylene oxide emissions monitoring, semiconductor fabrication, pharmaceutical, petrochemical, atmospheric science, air quality, greenhouse gas measurements, food safety, hydrology, ecology, and more. Our software and hardware are designed and manufactured in Santa Clara, California and are used in over 90 countries worldwide based on over 65 patents related to cavity ring-down spectroscopy (CRDS) technology and are unparalleled in their precision, ease of use, and reliability. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, national origin, protected veteran status, gender identity, social orientation, nor on the basis of disability. Posted positions are not open to third party recruiters/agencies and unsolicited resume submissions will be considered free referrals. If you are an individual with a disability and require reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Picarro, Inc. at disabilityassistance@picarro.com for assistance. Show more Show less

Your Job As a Data Analyst in Molex’s Copper Solutions Business Unit software solution group, you will be to extracting actionable insights from large and complex manufacturing datasets, identifying trends, optimizing production processes, improving operational efficiency, minimizing downtime, and enhancing overall product quality. You will be collaborating closely with cross-functional teams to ensure the effective use of data in driving continuous improvement and achieving business objectives within the manufacturing environment. Our Team Molex’s Copper Solutions Business Unit (CSBU) is a global team that works together to deliver exceptional products to worldwide telecommunication and data center customers. SSG under CSBU is one of the most highly technically advanced software solution group within Molex. Our group leverages software expertise to enhance the concept, design, manufacturing, and support of high-speed electrical interconnects. What You Will Do Collect, clean, and transform data from various sources to support analysis and decision-making processes. Conduct thorough data analysis using Python to uncover trends, patterns, and insights. Create & maintain reports based on business needs. Prepare comprehensive reports that detail analytical processes and outcomes. Develop and maintain visualizations/dashboards. Collaborate with cross-functional teams to understand data needs and deliver actionable insights. Perform ad hoc analysis to support business decisions. Write efficient and optimized SQL queries to extract, manipulate, and analyze data from various databases. Identify gaps and inefficiencies in current reporting processes and implement improvements and new solutions. Ensure data quality and integrity across all reports and tools. Who You Are (Basic Qualifications) B.E./B.Tech Degree in Computer Science Engineering, Information Science, Data Science or related discipline. 3-5 years of progressive data analysis experience with Python (pandas, numpy, matplotlib, OpenPyXL, SciPy , Statsmodels, Seaborn). What Will Put You Ahead Experience with Power BI, Tableau, or similar tools for creating interactive dashboards and reports tailored for manufacturing operations. Experience with predictive analytics e.g. machine learning models (e.g., using Scikit-learn) to predict failures, optimize production, or forecast demand. Experience with big data tools like Hadoop, Apache Kafka, or cloud platforms (e.g., AWS, Azure) for managing and analyzing large-scale data. Knowledge on A/B testing & forecasting. Familiarity with typical manufacturing data (e.g., machine performance metrics, production line data, quality control metrics). At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy. Who We Are {Insert company language from Company Boilerplate Language Guide} At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company. Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results. Show more Show less

Join a leading U.S.-based company as a Sr. Python Developer, where your expertise will drive cutting-edge solutions in technology. Leverage your Python skills to solve complex challenges, optimize processes, and contribute to impactful projects alongside global experts. If you have a passion for innovation and a proven track record in Python development, this role offers the perfect opportunity to elevate your career. Job Responsibilities Develop scalable and efficient Python applications. Analyze large datasets to extract business insights. Write clean, optimized code in Jupyter Notebooks or similar platforms. Collaborate with researchers and engineers on data-driven solutions. Maintain clear documentation for all code. Use datasets from Kaggle, the UN, and U.S. government sources for business insights. Job Requirements 3+ years of Python development experience. Bachelor’s/Master’s in Computer Science, Engineering, or related field. Strong Python skills with experience in Pandas, NumPy, SciPy, etc. Experience with databases (SQL/NoSQL) and cloud platforms (AWS, GCP, Azure) is a plus. Excellent problem-solving and analytical skills. Strong communication and teamwork skills in a remote setting. Perks Work with top industry experts worldwide. Fully remote flexibility. Competitive salary aligned with global standards. Be part of cutting-edge, high-impact projects. Selection Process Shortlisted developers may be asked to complete an assessment. If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates. Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment. Show more Show less

Join a leading U.S.-based company as a Sr. Python Developer, where your expertise will drive cutting-edge solutions in technology. Leverage your Python skills to solve complex challenges, optimize processes, and contribute to impactful projects alongside global experts. If you have a passion for innovation and a proven track record in Python development, this role offers the perfect opportunity to elevate your career. Job Responsibilities Develop scalable and efficient Python applications. Analyze large datasets to extract business insights. Write clean, optimized code in Jupyter Notebooks or similar platforms. Collaborate with researchers and engineers on data-driven solutions. Maintain clear documentation for all code. Use datasets from Kaggle, the UN, and U.S. government sources for business insights. Job Requirements 3+ years of Python development experience. Bachelor’s/Master’s in Computer Science, Engineering, or related field. Strong Python skills with experience in Pandas, NumPy, SciPy, etc. Experience with databases (SQL/NoSQL) and cloud platforms (AWS, GCP, Azure) is a plus. Excellent problem-solving and analytical skills. Strong communication and teamwork skills in a remote setting. Perks Work with top industry experts worldwide. Fully remote flexibility. Competitive salary aligned with global standards. Be part of cutting-edge, high-impact projects. Selection Process Shortlisted developers may be asked to complete an assessment. If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates. Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment. Show more Show less

Join a leading U.S.-based company as a Sr. Python Developer, where your expertise will drive cutting-edge solutions in technology. Leverage your Python skills to solve complex challenges, optimize processes, and contribute to impactful projects alongside global experts. If you have a passion for innovation and a proven track record in Python development, this role offers the perfect opportunity to elevate your career. Job Responsibilities Develop scalable and efficient Python applications. Analyze large datasets to extract business insights. Write clean, optimized code in Jupyter Notebooks or similar platforms. Collaborate with researchers and engineers on data-driven solutions. Maintain clear documentation for all code. Use datasets from Kaggle, the UN, and U.S. government sources for business insights. Job Requirements 3+ years of Python development experience. Bachelor’s/Master’s in Computer Science, Engineering, or related field. Strong Python skills with experience in Pandas, NumPy, SciPy, etc. Experience with databases (SQL/NoSQL) and cloud platforms (AWS, GCP, Azure) is a plus. Excellent problem-solving and analytical skills. Strong communication and teamwork skills in a remote setting. Perks Work with top industry experts worldwide. Fully remote flexibility. Competitive salary aligned with global standards. Be part of cutting-edge, high-impact projects. Selection Process Shortlisted developers may be asked to complete an assessment. If you clear the assessment, you will be contacted for contract assignments with expected start dates, durations, and end dates. Some contract assignments require fixed weekly hours, averaging 20/30/40 hours per week for the duration of the contract assignment. Show more Show less

- 3+ years of building machine learning models for business application experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Amazon Shipping Team: Basic Qualifications: Btech/Mtech in Computer Science, Machine Learning, Operations Research, Statistics, or related technical field applying ML techniques to solve complex business problems programming skills in Python, R, or similar languages Experience with modern ML frameworks (PyTorch, TensorFlow, etc.) About the Role: At Amazon Shipping, we're revolutionizing package delivery through machine learning. Our network handles packages daily with predictive monitoring, proactive failure detection, and intelligent redundancy - all while optimizing costs for our customers. Key Responsibilities: Design and develop ML models for: Transportation cost auditing and discrepancy detection Package-level shipping cost prediction First Mile optimization through warehouse pickup forecasting Delivery delay prediction using network signals and external factors Collaborate with cross-functional teams to implement ML solutions at scale Author scientific papers for ML conferences Mentor team members in ML best practices Provide ML consultation across organizations Preferred Qualifications: PhD in Experience with large-scale distributed systems Publication record in top-tier ML conferences Expertise in time series forecasting and anomaly detection Background in transportation/logistics optimization communication skills with technical and non-technical stakeholders Our Team: You'll join a diverse team of Applied Scientists, Software Engineers, and Business Intelligence Engineers working on edge ML solutions. We're passionate about solving complex problems and delivering customer value through innovation. Key job responsibilities Your role will require you to demonstrate Think Big and Invent and Simplify, by refining and translating Transportation domain-related business problems into one or more Machine Learning problems. You will use techniques from a wide array of machine learning paradigms, such as supervised, unsupervised, semi-supervised and reinforcement learning. Your model choices will include, but not be limited to, linear/logistic models, tree based models, deep learning models, ensemble models, and Q-learning models. You will use techniques such as LIME and SHAP to make your models interpretable for your customers. You will employ a family of reusable modelling solutions to ensure that your ML solution scales across multiple regions (such as North America, Europe, Asia) and package movement types (such as small parcel movements and truck movements). You will partner with Applied Scientists and Research Scientists from other teams in US and India working on related business domains. Your models are expected to be of production quality, and will be directly used in production services. Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

As a Senior Data Scientist, you will drive data science initiatives from conception to deployment, crafting advanced ML models and providing mentorship to junior colleagues. Collaborate seamlessly across teams to integrate data-driven solutions and maintain data governance compliance. Stay abreast of industry trends, contribute to thought leadership, and innovate solutions for intricate business problems. Responsibilities Lead and manage data science projects from conception to deployment, ensuring alignment with business objectives and deadlines. Develop and deploy AI and statistical algorithms to extract insights and drive actionable recommendations from complex datasets. Provide guidance and mentorship to junior data scientists on advanced analytics techniques, coding best practices, and model interpretation. Design rigorous testing frameworks to evaluate model performance, validate results, and iterate on models to improve accuracy and reliability. Stay updated with the latest advancements in data science methodologies, tools, and technologies, and contribute to the team's knowledge base through sharing insights, attending conferences, and conducting research. Establishing and maintaining data governance policies, ensuring data integrity, security, and compliance with regulations. Qualifications 5+ Years of prior analytics and data science experience in driving projects involving AI and Advanced Analytics. 3+ Years Experience in Deep Learning frameworks, NLP/Text Analytics, SVM, LSTM, Transformers, Neural network. In-depth understanding and hands on experience in working with Large Language Models along with exposure in fine tuning open source models for variety of use case. Strong exposure in prompt engineering, knowledge of vector database, langchain framework and data embeddings. Strong problem-solving skills and the ability to iterate and experiment to optimize AI model behavior. Proficiency in Python programming language for data analysis, machine learning, and web development. Hands-on experience with machine learning libraries such as NumPy, SciPy, and scikit-learn. Experience with distributed computing frameworks such as PySpark and Dask. Excellent problem-solving skills and attention to detail. Ability to communicate effectively with diverse clients/stakeholders. Education Background Bachelor’s in Computer Science, Statistics, Mathematics, or related field. Tier I/II candidates preferred. Show more Show less

We are looking for a passionate Python IOT developer to join our team at Magneto Dynamics. About Magneto Dynamics – From a humble beginning in 1989 , we have come a long way in quest for innovation. For us , Quality has been a way of life , inbuilt in our system . Our Business profile expanded with our quest for niche and innovative applications and we ventured out to successfully develop intricate sub assemblies and parts of Flow meters for our OEM customer in US and Europe. These include complete assembly of components which are so unique to the industry. Our parts range from complex assemblies like Clutch Calibrators, Pickup sensors to high precision Turbine Rotors, and other critical flow meter related parts. We now operate on a mixed model of design, manufacturing, assembly and outsourcing. From Aluminum and Zinc casting to Stainless Steel machining, we are involved in the entire gamut of servicing any of our customer needs. Our Specialization involves work related to casting, molding, machining, precision fabrication for high precision and high end applications. We have special purpose Wire EDM machine and CNC machines for making precision parts. We also develop customized testing facility and fixtures meeting customer's needs. We are geared up to bring out precision parts utilizing most modern technologies by use of Solid Modelling, CNC turn mills , and VMCs . Our Infrastructure is well established with lean manufacturing concepts. As an ISO 9001 certified company, we are focused on establishing a good Quality system in place. Our Policy is to minimize waste in supply chain leading to tangible benefits to our customers. Strong Management Culture is inbuilt in our system with a clear objective to Delight Customers. With a built-up space of 7000 Sqft on a 12000 sqft own land, a supportive base of vendors and other business associates our ecosystem is quite prepared for all expansion plans. Job Profile- You will be responsible for developing and implementing high-quality software solutions, creating complex applications using cutting-edge programming features and frameworks and collaborating with other teams in the firm to define, design and ship new features. As an active part of our company, you will brainstorm and chalk out solutions to suit our requirements and meet our business goals. You will also be working on data engineering problems and building data pipelines. You would get ample opportunities to work on challenging and innovative projects, using the latest technologies and tools. If you enjoy working in a fast-paced and collaborative environment, we encourage you to apply for this exciting role. We offer industry-standard compensation packages, relocation assistance, and professional growth and development opportunities. Objectives of this role · Develop, test and maintain high-quality software using Python and Embedded C programming language. · Participate in the entire software development lifecycle, building, testing and delivering high-quality solutions. · Collaborate with cross-functional teams to identify and solve complex problems. · Write clean and reusable code that can be easily maintained and scaled. Your tasks- · Create large-scale IOT / Embedded Applications. · Participate in code reviews, ensure code quality and identify areas for improvement to implement practical solutions. · Debugging codes when required and troubleshooting any Python-related queries. · Keep up to date with emerging trends and technologies in Python development. Required skills and qualifications- · Bachelor's degree in Computer Science, Software Engineering or a related field.(Freshers) · Strong Programming Fundamentals. · In-depth understanding of the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch. · Familiarity with front-end development using HTML, CSS, and JavaScript. · Familiarity with database technologies such as SQL and MySQL. · Excellent problem-solving ability with solid communication and collaboration skills. Interview Date: 09-06-2025 Interview Time: 10am onwards Contact Person: Antony Peter - 9962048534 Interview Venue: Talent Pursuits. Magneto Dynamics No 7,8,9 Venkateswar Ngr Main Road, Perungudi, Chennai, Tamil Nadu 600096 Google Map Link: https://goo.gl/maps/TSStgJfA7B7c7DMj7 Job Types: Full-time, Permanent Pay: Up to ₹150,000.00 per year Benefits: Provident Fund Schedule: Day shift Work Location: In person

As a Data Scientist, you will be part of a high performing team working on exciting opportunities in AI/ML within Ford Credit. We are looking for a seasoned Data Scientist with proven expertise in implementing Machine Learning/Optimization solutions with familiarity in Generative AI and a good grasp of Statistics. Develop Machine Learning (Supervised/Unsupervised learning), Neural Networks (ANN, CNN, RNN, LSTM, Decision tree, Encoder, Decoder), Natural Language Processing, Generative AI (LLMs, Lang Chain, RAG, Vector Database) . Hands-on Expertise in Python programming (OOPs concepts), SQL (relational/non-relational databases), experience in handling various data science libraries (Pandas, NumPy, SciPy, Sklearn, TensorFlow, Keras, Pytorch, etc.) would be a necessary requirement. Exposure to Cloud technologies (e.g., Google Cloud/AWS/Azure), including executing Machine Learning algorithms on Cloud is necessary. Exposure to Generative AI technologies. Professional Qualification: Potential candidates should possess 3 to 7 years of working experience as a Data Scientist. BE/MSc/ MTech /ME/PhD (Computer Science/Maths, Statistics). Possess a strong analytical mindset and be very comfortable with data. Experience with handling both relational and non-relational data. Hands-on with analytics methods (descriptive/predictive/prescriptive), Statistical Analysis, Probability and Data Visualization tools (Python-Matplotlib, Seaborn). Background of Computer Science with excellent Data Science working experience. Technical Experience: Develop Machine Learning (Supervised/Unsupervised learning), Neural Networks (ANN, CNN, RNN, LSTM, Decision tree, Encoder, Decoder), Natural Language Processing, Generative AI (LLMs, Lang Chain, RAG, Vector Database) . Hands-on Expertise in Python programming (OOPs concepts), SQL (relational/non-relational databases), experience in handling various data science libraries (Pandas, NumPy, SciPy, Sklearn, TensorFlow, Keras, Pytorch, etc.) would be a necessary requirement. Exposure to Cloud technologies (e.g., Google Cloud/AWS/Azure), including executing Machine Learning algorithms on Cloud is necessary. Exposure to Generative AI technologies. Ability to scope the problem statement, data preparation, training and making the AI/ML model production ready. Work with business partners to understand the problem statement, translate the same into analytical problem. Ability to manipulate structured and unstructured data. Develop, test and improve existing machine learning models. Analyse large and complex data sets to derive valuable insights. Research and implement best practices to enhance existing machine learning infrastructure. Develop prototypes for future exploration. Design and evaluate approaches for handling large volume of real data streams. Ability to determine appropriate analytical methods to be used. Collaborate with data engineers, solutions architects, application engineers, and product teams across time zones to develop data and model pipelines

Job Description: Job Description: We are seeking a highly motivated and enthusiastic Senior Data Scientist with 5- 8 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. Key Responsibilities: Develop and implement machine learning models and algorithms. Work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. Stay updated with the latest advancements in AI/ML technologies and methodologies. Collaborate with cross-functional teams to support various AI/ML initiatives. Qualifications: Bachelor’s degree in Computer Science, Data Science, or a related field. Strong understanding of machine learning , deep learning and Generative AI concepts. Preferred Skills: Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Deep Learning stack using python Experience with cloud infrastructure for AI/ ML on AWS(Sagemaker, Quicksight,Athena, Glue). Expertise in building enterprise grade, secure data ingestion pipelines for unstructured data(ETL/ELT) – including indexing, search, and advance retrieval patterns. Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn, SKLearn, OpenCV, SciPy), Glue crawler, ETL Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). Experience with version control systems (e.g., Git, CodeCommit). Strong knowledge and experience in Generative AI/ LLM based development. Strong experience working with key LLM models APIs (e.g. AWS Bedrock, Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain, LlamaIndex). Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. Knowledge of training and fine-tuning Foundation Models (Athropic, Claud , Mistral, etc.), including multimodal inputs and outputs. Good to have Skills Knowledge and Experience in building knowledge graphs in production. Understanding of multi-agent systems and their applications in complex problem-solving scenarios. Equal Opportunity Employer Pentair is an Equal Opportunity Employer. With our expanding global presence, cross-cultural insight and competence are essential for our ongoing success. We believe that a diverse workforce contributes different perspectives and creative ideas that enable us to continue to improve every day.

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What You Will Be Doing... The Commercial Data & Analytics - Impact Analytics team is part of the Verizon Global Services (VGS) organization.The Impact Analytics team addresses high-impact, analytically driven projects focused within three core pillars: Customer Experience, Pricing & Monetization, Network & Sustainability. In this role, you will analyze large data sets to draw insights and solutions to help drive actionable business decisions. You will also apply advanced analytical techniques and algorithms to help us solve some of Verizon’s most pressing challenges. Use your analysis of large structured and unstructured datasets to draw meaningful and actionable insights Envision and test for corner cases. Build analytical solutions and models by manipulating large data sets and integrating diverse data sources Present the results and recommendations of statistical modeling and data analysis to management and other stakeholders Identify data sources and apply your knowledge of data structures, organization, transformation, and aggregation techniques to prepare data for in-depth analysis Deeply understand business requirements and translate them into well-defined analytical problems, identifying the most appropriate statistical techniques to deliver impactful solutions. Assist in building data views from disparate data sources which powers insights and business cases Apply statistical modeling techniques / ML to data and perform root cause analysis and forecasting Develop and implement rigorous frameworks for effective base management. Collaborate with cross-functional teams to discover the most appropriate data sources, fields which caters to the business need Design modular, reusable Python scripts to automate data processing Clearly and effectively communicate complex statistical concepts and model results to both technical and non-technical audiences, translating your findings into actionable insights for stakeholders. What We’re Looking For... You have strong analytical skills, and are eager to work in a collaborative environment with global teams to drive ML applications in business problems, develop end to end analytical solutions and communicate insights and findings to leadership. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and are able to interact with various partners and cross functional teams to implement data science driven business solutions. You Will Need To Have Bachelor’s degree in computer science or another technical field or four or more years of work experience Four or more years of relevant work experience Proficiency in SQL, including writing queries for reporting, analysis and extraction of data from big data systems (Google Cloud Platform, Teradata, Spark, Splunk etc) Curiosity to dive deep into data inconsistencies and perform root cause analysis Programming experience in Python (Pandas, NumPy, Scipy and Scikit-Learn) Experience with Visualization tools matplotlib, seaborn, tableau, grafana etc A deep understanding of various machine learning algorithms and techniques, including supervised and unsupervised learning Understanding of time series modeling and forecasting techniques Even better if you have one or more of the following: Experience with cloud computing platforms (e.g., AWS, Azure, GCP) and deploying machine learning models at scale using platforms like Domino Data Lab or Vertex AI Experience in applying statistical ideas and methods to data sets to answer business problems. Ability to collaborate effectively across teams for data discovery and validation Experience in deep learning, recommendation systems, conversational systems, information retrieval, computer vision Expertise in advanced statistical modeling techniques, such as Bayesian inference or causal inference. Excellent interpersonal, verbal and written communication skills. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics. Show more Show less

Job Description: About Us At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us! Global Business Services Global Business Services delivers Technology and Operations capabilities to Lines of Business and Staff Support Functions of Bank of America through a centrally managed, globally integrated delivery model and globally resilient operations. Global Business Services is recognized for flawless execution, sound risk management, operational resiliency, operational excellence and innovation. In India, we are present in five locations and operate as BA Continuum India Private Limited (BACI), a non-banking subsidiary of Bank of America Corporation and the operating company for India operations of Global Business Services. Process Overview Global Business Services delivers control functions responsible for providing assurance over data and processes used to record risk, P/L, balance sheet and financial results in support of Global Markets, Corporate Treasury and Corporate Investments businesses. There are seven GMO core functions that are critical in ensuring business process control: New Business Development, Trade Capture Substantiation, P&L Validation, Risk/Position Validation, Balance Sheet Substantiation, Event Monitoring, and Front-Back Process Oversight. The QS or Quantitative Services Team is part of the GBS. The Data Science Group is involved in Development, testing and monitoring of Machine Learning Models. Job Description Associate would be involved in entire Machine Learning Development Lifecycle. Responsibilities Collaborate with stake holders and identify opportunities for leveraging huge amount of unstructured financial data. Analyze and model structured data using statistical methods and implement algorithms and software needed to perform analyses Undertake preprocessing of structured/unstructured data and analyze information to discover trends/patterns. Present information using data visualization techniques. Coordinate with different teams to implement the models and monitor outcomes. Build machine learning models to automate processes and reduce operational overhead. Perform continuous model monitoring and model support. Build processes and tools for analyzing model performance and data accuracy. Requirements Exp Range: 2- 5 years Education: Graduate Foundational Skills: Degree in Applied Math, Statistics, Computer Science or any other quantitative field from premier institutes Strong technical skills including experience using Python/R and SQL or any object-oriented languages Familiarity with various machine learning algorithms and modelling techniques e.g. Regression (Linear and logit), Classification (SVM, Naïve Bayes,etc.) Banking domain is preferred but not required. Strong analytical/math skills (e.g. statistics, algebra) Familiarity with pandas, numpy, scikit-learn & scipy Basics of Visualization tools & techniques – eg. maptlotlib Problem-solving aptitude Desired Skills:-Excellent communication and presentation skills Work Timings: 12:00 PM-9:00PM Job Location: Hyderabad Show more Show less

Job Description: We are seeking an AI Developer with a strong background in computer vision, chatbot development, and camera integration. The ideal candidate will have experience in developing machine learning and deep learning solutions. Key Responsibilities: · Develop and implement AI solutions with a focus on computer vision applications, including working with images, videos, and camera integration. · Design and deploy chatbot solutions using advanced machine learning and natural language processing techniques. · Work with Python and relevant libraries (TensorFlow, YOLO, Keras, PyTorch) to create efficient AI models. · Integrate and optimize machine learning models in real-time video processing and camera-based applications. · Collaborate with front-end teams to build seamless user interfaces using HTML, CSS, and JavaScript. · Manage and process large datasets using tools such as Pandas, Numpy, SciPy and other data analysis frameworks. · Work with both SQL and NoSQL databases for AI application support. · Contribute to software architecture, data modeling, and systems design. · Provide solutions that improve the scalability and performance of computer vision projects. · Collaborate with cross-functional teams for end-to-end AI solution delivery. Show more Show less

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What You Will Be Doing... The Commercial Data & Analytics - Impact Analytics team is part of the Verizon Global Services (VGS) organization.The Impact Analytics team addresses high-impact, analytically driven projects focused within three core pillars: Customer Experience, Pricing & Monetization, Network & Sustainability. In this role, you will analyze large data sets to draw insights and solutions to help drive actionable business decisions. You will also apply advanced analytical techniques and algorithms to help us solve some of Verizon’s most pressing challenges. Use your analysis of large structured and unstructured datasets to draw meaningful and actionable insights Envision and test for corner cases. Build analytical solutions and models by manipulating large data sets and integrating diverse data sources Present the results and recommendations of statistical modeling and data analysis to management and other stakeholders Identify data sources and apply your knowledge of data structures, organization, transformation, and aggregation techniques to prepare data for in-depth analysis Deeply understand business requirements and translate them into well-defined analytical problems, identifying the most appropriate statistical techniques to deliver impactful solutions. Assist in building data views from disparate data sources which powers insights and business cases Apply statistical modeling techniques / ML to data and perform root cause analysis and forecasting Develop and implement rigorous frameworks for effective base management. Collaborate with cross-functional teams to discover the most appropriate data sources, fields which caters to the business need Design modular, reusable Python scripts to automate data processing Clearly and effectively communicate complex statistical concepts and model results to both technical and non-technical audiences, translating your findings into actionable insights for stakeholders. What We’re Looking For... You have strong analytical skills, and are eager to work in a collaborative environment with global teams to drive ML applications in business problems, develop end to end analytical solutions and communicate insights and findings to leadership. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and are able to interact with various partners and cross functional teams to implement data science driven business solutions. You Will Need To Have Bachelor’s degree in computer science or another technical field or four or more years of work experience Four or more years of relevant work experience Proficiency in SQL, including writing queries for reporting, analysis and extraction of data from big data systems (Google Cloud Platform, Teradata, Spark, Splunk etc) Curiosity to dive deep into data inconsistencies and perform root cause analysis Programming experience in Python (Pandas, NumPy, Scipy and Scikit-Learn) Experience with Visualization tools matplotlib, seaborn, tableau, grafana etc A deep understanding of various machine learning algorithms and techniques, including supervised and unsupervised learning Understanding of time series modeling and forecasting techniques Even better if you have one or more of the following: Experience with cloud computing platforms (e.g., AWS, Azure, GCP) and deploying machine learning models at scale using platforms like Domino Data Lab or Vertex AI Experience in applying statistical ideas and methods to data sets to answer business problems. Ability to collaborate effectively across teams for data discovery and validation Experience in deep learning, recommendation systems, conversational systems, information retrieval, computer vision Expertise in advanced statistical modeling techniques, such as Bayesian inference or causal inference. Excellent interpersonal, verbal and written communication skills. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics. Show more Show less

As a Senior Data Scientist, you will drive data science initiatives from conception to deployment, crafting advanced ML models and providing mentorship to junior colleagues. Collaborate seamlessly across teams to integrate data-driven solutions and maintain data governance compliance. Stay abreast of industry trends, contribute to thought leadership, and innovate solutions for intricate business problems. Responsibilities Lead and manage data science projects from conception to deployment, ensuring alignment with business objectives and deadlines. Develop and deploy AI and statistical algorithms to extract insights and drive actionable recommendations from complex datasets. Provide guidance and mentorship to junior data scientists on advanced analytics techniques, coding best practices, and model interpretation. Design rigorous testing frameworks to evaluate model performance, validate results, and iterate on models to improve accuracy and reliability. Stay updated with the latest advancements in data science methodologies, tools, and technologies, and contribute to the team's knowledge base through sharing insights, attending conferences, and conducting research. Establishing and maintaining data governance policies, ensuring data integrity, security, and compliance with regulations. Qualifications 5+ Years of prior analytics and data science experience in driving projects involving AI and Advanced Analytics. 3+ Years Experience in Deep Learning frameworks, NLP/Text Analytics, SVM, LSTM, Transformers, Neural network. In-depth understanding and hands on experience in working with Large Language Models along with exposure in fine tuning open source models for variety of use case. Strong exposure in prompt engineering, knowledge of vector database, langchain framework and data embeddings. Strong problem-solving skills and the ability to iterate and experiment to optimize AI model behavior. Proficiency in Python programming language for data analysis, machine learning, and web development. Hands-on experience with machine learning libraries such as NumPy, SciPy, and scikit-learn. Experience with distributed computing frameworks such as PySpark and Dask. Excellent problem-solving skills and attention to detail. Ability to communicate effectively with diverse clients/stakeholders. Education Background Bachelor’s in Computer Science, Statistics, Mathematics, or related field. Tier I/II candidates preferred. Show more Show less

We are looking for a passionate Python IOT developer to join our team at Magneto Dynamics. About Magneto Dynamics – From a humble beginning in 1989 , we have come a long way in quest for innovation. For us , Quality has been a way of life , inbuilt in our system . Our Business profile expanded with our quest for niche and innovative applications and we ventured out to successfully develop intricate sub assemblies and parts of Flow meters for our OEM customer in US and Europe. These include complete assembly of components which are so unique to the industry. Our parts range from complex assemblies like Clutch Calibrators, Pickup sensors to high precision Turbine Rotors, and other critical flow meter related parts. We now operate on a mixed model of design, manufacturing, assembly and outsourcing. From Aluminum and Zinc casting to Stainless Steel machining, we are involved in the entire gamut of servicing any of our customer needs. Our Specialization involves work related to casting, molding, machining, precision fabrication for high precision and high end applications. We have special purpose Wire EDM machine and CNC machines for making precision parts. We also develop customized testing facility and fixtures meeting customer's needs. We are geared up to bring out precision parts utilizing most modern technologies by use of Solid Modelling, CNC turn mills , and VMCs . Our Infrastructure is well established with lean manufacturing concepts. As an ISO 9001 certified company, we are focused on establishing a good Quality system in place. Our Policy is to minimize waste in supply chain leading to tangible benefits to our customers. Strong Management Culture is inbuilt in our system with a clear objective to Delight Customers. With a built-up space of 7000 Sqft on a 12000 sqft own land, a supportive base of vendors and other business associates our ecosystem is quite prepared for all expansion plans. Job Profile- You will be responsible for developing and implementing high-quality software solutions, creating complex applications using cutting-edge programming features and frameworks and collaborating with other teams in the firm to define, design and ship new features. As an active part of our company, you will brainstorm and chalk out solutions to suit our requirements and meet our business goals. You will also be working on data engineering problems and building data pipelines. You would get ample opportunities to work on challenging and innovative projects, using the latest technologies and tools. If you enjoy working in a fast-paced and collaborative environment, we encourage you to apply for this exciting role. We offer industry-standard compensation packages, relocation assistance, and professional growth and development opportunities. Objectives of this role · Develop, test and maintain high-quality software using Python and Embedded C programming language. · Participate in the entire software development lifecycle, building, testing and delivering high-quality solutions. · Collaborate with cross-functional teams to identify and solve complex problems. · Write clean and reusable code that can be easily maintained and scaled. Your tasks- · Create large-scale IOT / Embedded Applications. · Participate in code reviews, ensure code quality and identify areas for improvement to implement practical solutions. · Debugging codes when required and troubleshooting any Python-related queries. · Keep up to date with emerging trends and technologies in Python development. Required skills and qualifications- · Bachelor's degree in Computer Science, Software Engineering or a related field.(Freshers) · Strong Programming Fundamentals. · In-depth understanding of the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch. · Familiarity with front-end development using HTML, CSS, and JavaScript. · Familiarity with database technologies such as SQL and MySQL. · Excellent problem-solving ability with solid communication and collaboration skills. Interview Date: 09-06-2025 Interview Time: 10am onwards Contact Person: Antony Peter - 9962048534 Interview Venue: Talent Pursuits. Magneto Dynamics No 7,8,9 Venkateswar Ngr Main Road, Perungudi, Chennai, Tamil Nadu 600096 Google Map Link: https://goo.gl/maps/TSStgJfA7B7c7DMj7 Job Types: Full-time, Permanent Pay: Up to ₹150,000.00 per year Benefits: Provident Fund Schedule: Day shift Work Location: In person

Job Description Job Description: We are seeking a highly motivated and enthusiastic Senior Data Scientist with 5- 8 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. Key Responsibilities Develop and implement machine learning models and algorithms. Work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. Stay updated with the latest advancements in AI/ML technologies and methodologies. Collaborate with cross-functional teams to support various AI/ML initiatives. Qualifications Bachelor’s degree in Computer Science, Data Science, or a related field. Strong understanding of machine learning , deep learning and Generative AI concepts. Preferred Skills Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Deep Learning stack using python Experience with cloud infrastructure for AI/ ML on AWS(Sagemaker, Quicksight,Athena, Glue). Expertise in building enterprise grade, secure data ingestion pipelines for unstructured data(ETL/ELT) – including indexing, search, and advance retrieval patterns. Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn, SKLearn, OpenCV, SciPy), Glue crawler, ETL Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). Experience with version control systems (e.g., Git, CodeCommit). Strong knowledge and experience in Generative AI/ LLM based development. Strong experience working with key LLM models APIs (e.g. AWS Bedrock, Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain, LlamaIndex). Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. Knowledge of training and fine-tuning Foundation Models (Athropic, Claud , Mistral, etc.), including multimodal inputs and outputs. Good To Have Skills Knowledge and Experience in building knowledge graphs in production. Understanding of multi-agent systems and their applications in complex problem-solving scenarios. Equal Opportunity Employer Pentair is an Equal Opportunity Employer. With our expanding global presence, cross-cultural insight and competence are essential for our ongoing success. We believe that a diverse workforce contributes different perspectives and creative ideas that enable us to continue to improve every day. Show more Show less

Job Requirements Summary: We are seeking skilled Python developers to assist in a large-scale code conversion project. The project involves transforming a legacy codebase of image processing and deep learning computer vision algorithms from MATLAB to Python. The initial conversion has been performed using state of the art AI capabilities (LLMs), and we now require human expertise to creating a working code base. Duties And Responsibilities Review and compare LLM converted Python code against original MATLAB code Debug syntax errors and correct logical inconsistencies in the Python code Ensure output consistency between MATLAB and Python implementations Implement proper error handling and logging mechanisms Develop comprehensive unit tests and integration tests Create clear and concise documentation for the converted code Optimize code for performance and readability wherever necessary Collaborate with team members to ensure end-to-end functionality Prepare code for containerization using Docker Adhere to best practices in software development and version control Work Experience Knowledge, Skills and Abilities: Strong proficiency in Python programming with 6+ years of experience Familiarity with MATLAB syntax and conventions Strong problem-solving and debugging skills Experience with version control systems (e.g., Git) Familiarity with Docker and containerization concepts Experience in code conversion projects Familiarity with scientific computing libraries (e.g., NumPy, SciPy) Knowledge of software testing frameworks (e.g., pytest) Experience with continuous integration and deployment (CI/CD) pipelines Understanding of software development best practices and design patterns Implement proper logging mechanisms for easier debugging and monitoring Create comprehensive unit tests and integration tests to ensure code reliability Develop clear and concise documentation, including inline comments and README files Optimize code for performance, considering Python-specific best practices Ensure code adheres to PEP 8 style guidelines Implement type hinting for improved code readability and maintainability Create requirements.txt files for each repository to manage dependencies Participate in code reviews to maintain high code quality standards Provide regular progress reports and participate in team meetings Optional Requirements Experience with image processing and computer vision libraries (e.g., OpenCV, scikit-image) Knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch) Understanding of mathematical concepts related to image processing and computer vision Show more Show less

Job Description As a Data Scientist, you will be part of a high performing team working on exciting opportunities in AI/ML within Ford Credit. We are looking for a seasoned Data Scientist with proven expertise in implementing Machine Learning/Optimization solutions with familiarity in Generative AI and a good grasp of Statistics. Develop Machine Learning (Supervised/Unsupervised learning), Neural Networks (ANN, CNN, RNN, LSTM, Decision tree, Encoder, Decoder), Natural Language Processing, Generative AI (LLMs, Lang Chain, RAG, Vector Database) . Hands-on Expertise in Python programming (OOPs concepts), SQL (relational/non-relational databases), experience in handling various data science libraries (Pandas, NumPy, SciPy, Sklearn, TensorFlow, Keras, Pytorch, etc.) would be a necessary requirement. Exposure to Cloud technologies (e.g., Google Cloud/AWS/Azure), including executing Machine Learning algorithms on Cloud is necessary. Exposure to Generative AI technologies. Responsibilities Ability to scope the problem statement, data preparation, training and making the AI/ML model production ready. Work with business partners to understand the problem statement, translate the same into analytical problem. Ability to manipulate structured and unstructured data. Develop, test and improve existing machine learning models. Analyse large and complex data sets to derive valuable insights. Research and implement best practices to enhance existing machine learning infrastructure. Develop prototypes for future exploration. Design and evaluate approaches for handling large volume of real data streams. Ability to determine appropriate analytical methods to be used. Collaborate with data engineers, solutions architects, application engineers, and product teams across time zones to develop data and model pipelines Qualifications Professional Qualification: Potential candidates should possess 3 to 7 years of working experience as a Data Scientist. BE/MSc/ MTech /ME/PhD (Computer Science/Maths, Statistics). Possess a strong analytical mindset and be very comfortable with data. Experience with handling both relational and non-relational data. Hands-on with analytics methods (descriptive/predictive/prescriptive), Statistical Analysis, Probability and Data Visualization tools (Python-Matplotlib, Seaborn). Background of Computer Science with excellent Data Science working experience. Technical Experience: Develop Machine Learning (Supervised/Unsupervised learning), Neural Networks (ANN, CNN, RNN, LSTM, Decision tree, Encoder, Decoder), Natural Language Processing, Generative AI (LLMs, Lang Chain, RAG, Vector Database) . Hands-on Expertise in Python programming (OOPs concepts), SQL (relational/non-relational databases), experience in handling various data science libraries (Pandas, NumPy, SciPy, Sklearn, TensorFlow, Keras, Pytorch, etc.) would be a necessary requirement. Exposure to Cloud technologies (e.g., Google Cloud/AWS/Azure), including executing Machine Learning algorithms on Cloud is necessary. Exposure to Generative AI technologies. Show more Show less

As a Data Scientist, you will derive actionable insights from large, complex and unstructured data by developing AI/ML techniques. Development, optimization and evaluating as well as deploying them into production environments would be the key aspects of your role. You will have to collaborate seamlessly across teams to integrate data-driven solutions and maintain data governance compliance. Stay abreast of industry trends, contribute to thought leadership, and innovate solutions for intricate business problems. Responsibilities Develop and deploy AI and statistical algorithms to extract insights and drive actionable recommendations from complex datasets. Design rigorous testing frameworks to evaluate model performance, validate results, and iterate on models to improve accuracy and reliability. Perform R&D by exploring and optimizing algorithms, methodologies, and technologies to tackle complex problems and drive innovation. Stay updated with the latest advancements in data science methodologies, tools, and technologies, and contribute to the team's knowledge base through sharing insights, attending conferences, and conducting research. Establishing and maintaining data governance policies, ensuring data integrity, security, and compliance with regulations. Qualifications 2+ Years of prior analytics and data science experience in driving projects involving AI and Advanced Analytics. Strong expertise in Deep Learning frameworks, NLP/Text Analytics, SVM, LSTM, Transformers, Neural network. In-depth understanding and hands on experience in working with Large Language Models along with exposure in fine tuning open source models for variety of use case. Strong exposure in prompt engineering, knowledge of vector database, langchain framework and data embeddings. Strong problem-solving skills and the ability to iterate and experiment to optimize AI model behavior. Proficiency in Python programming language for data analysis, machine learning, and web development. Hands-on experience with machine learning libraries such as NumPy, SciPy, and scikit-learn. Excellent problem-solving skills and attention to detail. Ability to communicate effectively with diverse clients/stakeholders. Education Background Bachelor’s in Computer Science, Statistics, Mathematics, or related field. Tier I/II candidates preferred. Show more Show less

• Review & compare LLM converted Python code against original MATLAB code • Debug syntax errors & correct logical inconsistencies in the Python code • Ensure output consistency between MATLAB & Python implementations Only Immediate Joiners. Required Candidate profile •We need three expert developers who can instantly identify Python bugs or code improvement opportunities and determine fixes by comparing with the original MATLAB code Notice Period less than 30 days

Career Area: Technology, Digital and Data : Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Your Impact Shapes the World at Caterpillar Inc When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Job Summary Caterpillar is seeking a skilled Senior Data Scientist to join our team to act as a champion for our Digital Finance-Disruptive Technology Team within the Global Finance Services Division . The incumbent will leverage internal data and advanced analytics to solve business problems. The preference for this role is to be based out of Whitefield Office, Bangalore, India What you will do As a Senior Data Scientist, you will work in a team environment with a group of data scientists and software developers to support the development, integration, and enhancement of Caterpillar's analytics, AI, and Generative AI projects and products. Gain an understanding of Caterpillar s business and accounting practices, systems, and procedures. Developing ML/AI/GenAI models and solutions. Performing data gathering, data mining, and data processing on large volumes of data; creating appropriate data models. Demonstrating a breadth of knowledge in the application of ML/AI/GenAI and statistical methods and/or digital methods to solve business problems. Conducting research on data model optimization and algorithms to improve the effectiveness and accuracy of data analyses. Participating on 1-3 primary projects concurrently. Having a strong focus on continual learning in the Analytics field. Reporting and presenting team results. The Data Scientist will develop good networks within the technical community to enable them to collaborate on technical solutions, obtain resources and cooperation needed, and remove roadblocks so that they can ensure the success of their projects. What you will have Typically, a Bachelor's, Master s, or Ph.D. degree, preferably in statistics, economics, mathematics, or a similar field with quantitative coursework. 5+ Years of Professional Experience with the ability to deliver data science products with almost no technical guidance from others. The ability to provide technical guidance to less experience data science team members. Experience with data analysis and statistical methods such as regression, hypothesis testing, ANOVA, statistical process control, etc. Practical applications of machine learning techniques such as clustering, logistic regression, CART, random forests, SVM, or neural networks. Technical and problem-solving skills with evidence of continuous learning in the analytics field. Breadth and depth of knowledge in the application of statistical and/or digital methods to solve business problems. Experience with projects connecting data from various business domains and providing forecasts and insights to run the business profitably. Working knowledge of cloud technologies (AWS, Azure, Google Cloud, etc.). Working knowledge of version control/repositories such as GitHub. Experience operating in an Agile environment. Initiative to research and apply new methods and digital technologies to exceed customer expectations. Must demonstrate strong initiative, interpersonal skills, and the ability to communicate effectively. Must be comfortable working in MS Office, and industry standard statistics, analytics, and data visualization packages. Experience mechanizing manual data collection processes using Snowflake to enhance indicative data to generate quicker and more granular insights. Tables/Process could be leveraged by the Forecasting and Financial Analysis Reporting groups. Experience with writing fast and memory-efficient code as well as with various types of parallel processingthreading, multi-core/forking, multiple session, and cluster computing. Skills desired: Analytical Thinking Extensive knowledge of techniques and tools for effective analysis; ability to determine the root cause of problems and create alternative solutions that resolve these issues. GenAI / AI / Machine Learning Extensive experience and knowledge of the principles, technologies, and algorithms of GenAI, AI, and machine learning; ability to develop, implement, and deliver related systems, products, and services. Statistics Extensive knowledge of statistical tools, processes, and practices to describe results on measurable scales; ability to use statistical tools and processes to assist in making business decisions. Programming Languages Extensive experience in applying Python (NumPy, SciPy, Pandas, etc.) to solve business challenges; ability to use tools, techniques, and platforms to write and modify programming languages. Information Processing Extensive experience in processing large quantities of detailed information with high levels of accuracy. Databases Extensive knowledge in writing, debugging, and implementing complex queries involving multiple tables or databases. Presentation Skills Strong presentation and communication skills. What you will get: Work Life Harmony Earned and medical leave. Flexible work arrangements Relocation assistance Holistic Development Personal and professional development through Caterpillar s employee resource groups across the globe Career developments opportunities with global prospects Health and Wellness Medical coverage -Medical, life and personal accident coverage Employee mental wellness assistance program Financial Wellness Employee investment plan Pay for performance -Annual incentive Bonus plan. Additional Information: Caterpillar is not currently hiring individuals for this position who now or in the future require sponsorship for employment visa status; however, as a global company, Caterpillar offers many job opportunities outside of the U.S. which can be found through our employment website at www.caterpillar.com/careers Posting Dates: January 16, 2025 - January 29, 2025 Caterpillar is an Equal Opportunity Employer (EEO). Not ready to applyJoin our Talent Community .

Company Founded in 1998, we develop and support the Actran software suite for acoustic simulation as part of Hexagon Manufacturing Intelligence (www.hexagonmi.com). Leading automotive OEMs and suppliers, aircraft manufacturers, engine developers, audio system designers, and others use our technology to virtually improve the acoustic performance of their products through advanced simulation. Actran is used by hundreds of companies worldwide including Airbus, Boeing, Safran, Rolls Royce, Renault, BMW, Ferrari, Toyota, Honda, Volvo, Bose, Microsoft, Panasonic and many more. Actran is the premier acoustics software to solve acoustics, vibro-acoustics, and aero-acoustics problems. Used by automotive manufacturers and suppliers, aerospace and defense companies, and consumer product manufacturers, Actran helps engineers better understand and improve the acoustics performance of their designs. Function & Responsibilities As acoustic development engineer, you will work in the Product Development team that is responsible of the Actran software development. Please watch the short intro video on Actran here. Your main responsibilities will include: · Development of new features in Actran, matching with industrial expectations (accuracy, performance, robustness); · Participation to acoustic research topics · Recommendations on new technologies to be integrated in Actran to solve new challenges efficiently; · Interfaces with third party software when required; · Work on bug fixes; · Identify software design problems and devise elegant solutions. Quality Assurance (QA), industrial validation and software documentation benefit from daily interactions with dedicated teams. Profile · PhD in Applied Sciences, Computer Sciences (or equivalent by experience) · Programming skills in Python and C++ · Experience with a commercial structural dynamics solver (Nastran, Abaqus, Ansys, Optistruct) · Experience in programming on Linux environment · Experience in acoustic research, · Some experience in the design of complex object-oriented software : o C++: generic programming, Standard Template Library, boost libraries; o Python: C-bindings, python extension libraries, numpy, scipy, matplotlib. o Familiar with versioning system GIT, CI/CD development processes and containerization tools o Experience in Qt framework and VTK library is a plus o Basic knowledge of CAE-FEM tools (Ansa, Catia, Hypermesh) is a plus · Soft skills including being creative, self-learner autonomous, curious, capable of thinking out of the box, solution-oriented attitude, quality awareness, team spirit and flexibility · With good level of English. What we offer Besides an attractive salary package, the company provides a young and dynamic work environment. The average age of the team is below 40 and is mostly engineers and PhD’s. The development team is fully based in Europe (Belgium and France) Hexagon welcomes new talents and invests in their development. This results in a very creative and inspiring atmosphere which is influenced by every single individual, including you! Innovation, excellence, motivation and passion are among the most important values that our employees share. Show more Show less

Company- Founded in 1998, we develop and support the Actran software suite for acoustic simulation as part of Hexagon Manufacturing Intelligence (www.hexagonmi.com). Leading automotive OEMs and suppliers, aircraft manufacturers, engine developers, audio system designers, and others use our technology to virtually improve the acoustic performance of their products through advanced simulation. Actran is used by hundreds of companies worldwide including Airbus, Boeing, Safran, Rolls Royce, Renault, BMW, Ferrari, Toyota, Honda, Volvo, Bose, Microsoft, Panasonic and many more. Actran is the premier acoustics software to solve acoustics, vibro-acoustics, and aero-acoustics problems. Used by automotive manufacturers and suppliers, aerospace and defense companies, and consumer product manufacturers, Actran helps engineers better understand and improve the acoustics performance of their designs. Function & Responsibilities As acoustic development engineer, you will work in the Product Development team that is responsible of the Actran software development. Please watch the short intro video on Actran here. Your main responsibilities will include: · Development of new features in Actran, matching with industrial expectations (accuracy, performance, robustness); · Participation to acoustic research topics · Recommendations on new technologies to be integrated in Actran to solve new challenges efficiently; · Interfaces with third party software when required; · Work on bug fixes; · Identify software design problems and devise elegant solutions. Quality Assurance (QA), industrial validation and software documentation benefit from daily interactions with dedicated teams. Profile · PhD in Applied Sciences, Computer Sciences (or equivalent by experience) · Programming skills in Python and C++ · Experience with a commercial structural dynamics solver (Nastran, Abaqus, Ansys, Optistruct) · Experience in programming on Linux environment · Experience in acoustic research, · Some experience in the design of complex object-oriented software : o C++: generic programming, Standard Template Library, boost libraries; o Python: C-bindings, python extension libraries, numpy, scipy, matplotlib. o Familiar with versioning system GIT, CI/CD development processes and containerization tools o Basic knowledge of CAE-FEM tools (Ansa, Catia, Hypermesh) is a plus · Soft skills including being creative, self-learner autonomous, curious, capable of thinking out of the box, solution-oriented attitude, quality awareness, team spirit and flexibility What we offer Besides an attractive salary package, the company provides a young and dynamic work environment. The average age of the team is below 40 and is mostly engineers and PhD’s. The development team is fully based in Europe (Belgium and France) Hexagon welcomes new talents and invests in their development. This results in a very creative and inspiring atmosphere which is influenced by every single individual, including you! Innovation, excellence, motivation and passion are among the most important values that our employees share. Show more Show less