130 Numpy Jobs nearby Mysore

Strong proficiency in Node.js and SQL (mandatory). Experience working with Kubernetes and Redis. Strong problem-solving and debugging skills. Good understanding of microservices architecture. Familiarity with NestJS is a plus. Ability to write clean, maintainable, and efficient code. Collaborate with teams to deliver reliable, high-performance applications. Strong problem-solving and debugging skills. Good to have experience with AWS Glue. Good interpersonal and communication skills. Experience designing backend REST apis Comfortable working in linux environment. Proficient with design patterns and best coding practices. Ability to identify and fix performance bottlenecks.

Job Title: Python Developer Location: Remote Contract Type: C2C | Duration: 8 Months (Extendable) Experience Required: 4+ Years Availability: Immediate Joiners Only Job Summary We are looking for an experienced Python Developer with strong expertise in API development and a solid grasp of 2D/3D geometry concepts. The ideal candidate will be detail-oriented, passionate about writing clean, efficient code, and skilled in building scalable backend systems to support complex geometric computations. Key Responsibilities Design, develop, and maintain robust, scalable APIs using Python. Work on 2D and 3D geometric data structures and algorithms. Collaborate with front-end developers, designers, and product teams to deliver high-quality solutions. Optimize code for performance, reliability, and scalability. Write unit and integration tests to maintain high code quality. Participate in code reviews and follow best practices for version control and development standards. Required Skills Strong proficiency in Python. Hands-on experience in RESTful API development (Flask, FastAPI, or Django REST Framework). Solid understanding of 2D/3D geometry or computational geometry. Experience with NumPy, SciPy, Shapely, Open3D, or PyMesh. Proficient in Git or other version control systems. Excellent analytical and problem-solving abilities. Good to Have Experience with 3D visualization tools/libraries (VTK, Blender API, or Three.js bindings). Knowledge of mathematical modeling or simulation. Exposure to cloud platforms (AWS, Azure, or GCP). Familiarity with CI/CD pipelines and DevOps tools. Education Bachelors or Masters degree in Computer Science, Engineering, Mathematics, or a related field.

As a Data Engineer specializing in Core Python, you will be responsible for designing, developing, and maintaining robust data pipelines and ETL processes to support data ingestion and transformation. Your role will involve collaborating with data scientists, analysts, and stakeholders to deliver high-quality data solutions that meet data requirements. Additionally, you will play a key role in implementing data models and architectures that support analytics and reporting needs. It is crucial to optimize data storage and retrieval processes for enhanced performance and scalability, ensuring data quality and integrity through rigorous testing and validation processes. Key Responsibilities: - Design, develop, and maintain robust data pipelines and ETL processes - Collaborate with data scientists, analysts, and stakeholders to understand data requirements - Implement data models and architectures supporting analytics and reporting - Optimize data storage and retrieval processes for performance and scalability - Ensure data quality and integrity through rigorous testing and validation - Monitor and troubleshoot data pipeline performance, implementing necessary improvements - Stay updated with industry trends and best practices in data engineering - Document data processes, architectures, and workflows for knowledge sharing and compliance Qualifications: - Bachelors or Masters degree in Computer Science, Engineering, or related field - 6 to 10 years of experience in data engineering or related field - Proven track record of successful data projects and implementations - Strong communication skills and ability to work collaboratively in a team environment Additional Information: The company prefers candidates with a strong proficiency in Python, experience with data manipulation libraries such as Pandas and NumPy, extensive knowledge of SQL and relational databases like PostgreSQL and MySQL, hands-on experience with data warehousing solutions and ETL tools, familiarity with big data technologies like Hadoop and Spark, experience with cloud platforms such as AWS, Azure, and GCP, understanding of data modeling concepts and best practices, problem-solving skills, attention to detail, familiarity with data visualization tools like Tableau and Power BI, knowledge of machine learning concepts and frameworks, experience with containerization technologies like Docker and Kubernetes, and familiarity with version control systems like Git.,

As an immediate joiner, you can share your details via email at nitin.patil@ust.com for quick processing. **Key Responsibilities:** - Develop high-quality, efficient, and scalable Python code using industry best practices. - Work extensively with Python data types: lists, tuples, sets, dictionaries, strings, etc. - Use functions, classes, decorators, modules, and packages to structure code effectively. - Work extensively with NumPy ndarrays to develop and optimize code using NumPy arrays, broadcasting, vectorization, and ufuncs. - Use Pandas for data loading, cleaning, manipulation, reindexing, merging, joining, and reshaping. - Optimize data pipelines and perform grouping, aggregation, and time-series operations using groupby() and related functions. **Required Skills:** - Minimum 7 years of hands-on Python development experience. - Strong understanding of Python OOP, modules, packages, and import mechanisms. - Expertise in NumPy with solid understanding of ndarray internals: dtype, shape, size, deep vs. shallow copy. - Expertise in Pandas for high-performance data manipulation, cleaning, and analysis. - Strong understanding of DataFrame operations, indexing, slicing, and reshaping. - Experience with ORM frameworks and good grasp of both object-oriented and functional programming paradigms.,

As a Data Engineer with a strong background in Python, you will be responsible for designing, developing, and maintaining robust data pipelines and ETL processes to support data ingestion and transformation. Your role will involve collaborating with data scientists, analysts, and stakeholders to understand data requirements and deliver high-quality data solutions. Additionally, you will implement data models and architectures to support analytics and reporting needs while optimizing data storage and retrieval processes for performance and scalability. Ensuring data quality and integrity through rigorous testing and validation processes will be crucial, along with monitoring and troubleshooting data pipeline performance and staying updated with industry trends and best practices. Key Responsibilities: - Design, develop, and maintain robust data pipelines and ETL processes for data ingestion and transformation. - Collaborate with data scientists, analysts, and stakeholders to understand data requirements and deliver high-quality data solutions. - Implement data models and architectures to support analytics and reporting needs. - Optimize data storage and retrieval processes for performance and scalability. - Ensure data quality and integrity through rigorous testing and validation processes. - Monitor and troubleshoot data pipeline performance, implementing improvements as necessary. - Stay updated with industry trends and best practices in data engineering and related technologies. - Document data processes, architectures, and workflows for knowledge sharing and compliance. Qualifications: - Bachelors or Masters degree in Computer Science, Engineering, or a related field. - 6-10 years of experience in data engineering or a related field. - Proven track record of successful data projects and implementations. - Strong communication skills and ability to work collaboratively in a team environment. Please note that additional details of the company were not provided in the job description.,

As a Machine Learning Scientist at Wayfair, you will be part of a dynamic team dedicated to building cutting-edge ML systems that drive real-world impact. You will collaborate with scientists, engineers, analysts, and product managers to design, deploy, and refine large-scale machine learning models to enhance customer experience and drive revenue. Your role will involve working on real-time Search type-ahead, content recommendations, and algorithmic customer understanding experience. **Key Responsibilities:** - Design, build, deploy, and refine large-scale machine learning models and algorithmic decision-making systems - Collaborate with commercial stakeholders to develop analytical solutions for business problems - Work closely with engineering, infrastructure, and ML platform teams to ensure best practices in building and deploying scalable ML services - Identify new opportunities and insights from data to improve models and project ROI - Maintain a customer-centric approach in problem-solving and decision-making **Qualifications Required:** - Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related field - 6-9 years of industry experience developing machine learning algorithms - Proficiency in Python or another high-level programming language - Hands-on experience deploying machine learning solutions into production - Strong theoretical understanding of statistical models and ML algorithms - Excellent written and verbal communication skills - Intellectual curiosity and enthusiasm for continuous learning **Nice to Have:** - Experience with Python ML ecosystem (numpy, pandas, sklearn, XGBoost) and/or Apache Spark Ecosystem - Familiarity with GCP, AWS, Azure, ML model development frameworks, and ML orchestration tools - Experience in information retrieval, query/intent understanding, search ranking, recommender systems - Familiarity with deep learning frameworks like PyTorch, Tensorflow Wayfair is committed to providing equal opportunities for individuals with disabilities and will make reasonable accommodations as needed. If you require assistance during the application or interview process, please complete the Accommodations for Applicants form. For technical assistance or more information about careers at Wayfair, visit the FAQ page on the website. Wayfair Inc. is a global online destination for home goods, committed to reinventing the way people shop for their homes through technology and creative problem-solving. Join our team for rapid growth, continuous learning, and dynamic challenges that will shape your career. Your personal data is processed in accordance with our Candidate Privacy Notice. For privacy-related inquiries, contact dataprotectionofficer@wayfair.com.,

As a Data Analyst at our organization, you will play a vital role in analyzing our ecommerce clickstream and user behavior data to uncover actionable insights that drive business growth and inform our product roadmap. Leveraging your expertise in tools such as Adobe Analytics, GCP BigQuery, SQL, and Python, you will extract, analyze, and visualize complex datasets. Working closely with our Senior Data Analyst/Architect, you will contribute to the strategic direction of our product development efforts. Your responsibilities will include: - Analyzing ecommerce clickstream data to understand user journeys and optimize website performance - Investigating user behavior patterns to enhance customer interactions - Utilizing SQL and Python to extract and manipulate large datasets from our data warehouse - Creating insightful dashboards and reports using data visualization tools to effectively communicate findings to stakeholders across different teams Collaborating with the Senior Data Analyst/Architect, you will translate data-driven insights into actionable recommendations that contribute to the development and prioritization of our product roadmap. You will define and track key performance indicators (KPIs), conduct AB testing analysis, and collaborate with cross-functional teams to provide relevant insights. Ensuring data quality and integrity, staying updated on industry trends, and continuously learning best practices in ecommerce analytics will also be key aspects of your role. To qualify for this position, you should have: - A Bachelor's degree in a quantitative field - At least 2 years of experience as a Data Analyst, preferably with a focus on ecommerce analytics - Hands-on experience with Adobe Analytics - Strong proficiency in SQL - Solid programming skills in Python - Experience with cloudbased data warehouses and data visualization tools - Strong analytical and problem-solving skills - Excellent communication and presentation skills - The ability to work independently and collaboratively in a fast-paced environment - A passion for data science and ecommerce **Note:** Key Skills required for this role include Adobe Analytics, GCP BigQuery, SQL, Python (Pandas, NumPy, Matplotlib, Seaborn), Ecommerce Analytics, User Behavior Analysis, Clickstream Data Analysis, Data Visualization, Data Reporting, AB Testing Analysis, Product Roadmap Contribution, Statistical Analysis, Data Mining, Communication (Written, Verbal), Problem-Solving, and Teamwork. Mandatory Skills for this role include Data Science and E-commerce.,

As a Model Risk Program Analyst in Model Risk Governance & Review at JPMorganChase, you will be responsible for conducting review and governance activities related to Compliance Anti-Money Laundering and KYC. Your role will involve assessing risks associated with models used for sanctions screening, trade surveillance, and transaction monitoring within Compliance. You will be expected to perform independent testing, develop benchmarking tools, and monitor the performance of the models. Additionally, you will leverage your technical expertise to assess the conceptual soundness of data-driven compliance models and identify emerging model risks. Key Responsibilities: - Perform model reviews: Analyze the conceptual soundness of compliance models and assess their behavior and suitability in the context of usage. - Guide on model usage and serve as the primary point of contact for the business regarding new models and changes to existing models. - Develop and implement alternative model benchmarks, compare outcomes of various models, and design model performance metrics. - Collaborate with model developers, users, and compliance groups, providing guidance on model risk. - Evaluate model performance regularly and execute model governance activities such as Ongoing Performance Monitoring. Qualifications Required: - 0-2 years of experience in a quantitative modeling role, such as Data Science, Quantitative Model Development, Model Validation, or Technology focused on Data Science. - A PhD or Masters degree in a quantitative field such as Mathematics, Physics, Engineering, Computer Science, Economics, or Finance. - Strong verbal and written communication skills to interact with various functional areas in the firm on model-related issues and produce high-quality technical reports. - Deep understanding of standard statistical techniques like regression analysis. - Hands-on experience with standard Machine Learning models, including Boosted Trees, Neural Networks, SVM, and LLM (e.g., BERT). - Experience working with dedicated ML packages like TensorFlow, data processing, and numeric programming tools (NumPy, SciPy, Pandas, etc.). - Ability to implement benchmarking models in Python or equivalent. - Risk- and control-oriented mindset with the ability to ask incisive questions, assess the materiality of model issues, and escalate them appropriately. - Capability to thrive in a fast-paced, results-driven environment. In this role, you will be part of a global team of modeling experts within the Risk Management and Compliance organization at JPMorganChase. The team focuses on conducting independent model validation and governance activities to help identify, measure, and mitigate Model Risk. The objective is to ensure that models are fit for purpose, used appropriately within the business context, and that model users are aware of limitations and potential impacts on business decisions.,

Role Overview: You will have the opportunity to learn and contribute to the development of cutting-edge AI solutions focusing on Generative AI and Natural Language Processing (NLP). As part of the team, you will work with state-of-the-art technologies such as transformers, text generation, and sentiment analysis. This role offers a great chance to grow alongside experts, tackle real-world challenges, and advance the field of AI. Key Responsibilities: - Assist in designing and developing NLP systems for tasks like text classification, sentiment analysis, named entity recognition (NER), and machine translation. - Contribute to the development of language models for text summarization, question answering, and dialog systems. - Work with large unstructured text datasets applying techniques such as text preprocessing, tokenization, and embedding generation. - Collaborate with team members to develop AI-driven solutions involving transformer-based models, text generation, and other cutting-edge NLP techniques. - Continuously improve knowledge of emerging AI and NLP trends, techniques, and technologies. - Participate in learning programs and research to deepen expertise in transformer models, LLMs, RAG, and other relevant techniques. - Maintain clear and organized documentation of models, experiments, code, and results for reproducibility and efficient knowledge sharing within the team. Qualification Required: - Basic understanding of NLP techniques like text classification, tokenization, sentiment analysis, and named entity recognition (NER). - Familiarity with Generative AI concepts including GANs, transformers, and autoencoders. - Strong programming skills in Python using libraries like NumPy, Pandas, TensorFlow, PyTorch, and Hugging Face for model building and data manipulation. - Knowledge of machine learning algorithms and basic model evaluation techniques. - Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) or basic cloud concepts for model training and deployment. - Willingness to learn and work with GPU/TPU computing for efficient model training and inference. Additional Details of the Company: The company is based in India. Preferred Skills: - Familiarity with Agentic AI concepts or exposure to intelligent agent-based systems. - Exposure to working with open-source LLMs (e.g., Hugging Face) and transformer-based models. - Understanding of Docker for containerizing applications and models. - Exposure to AutoML frameworks or transfer learning techniques. - Familiarity with version control systems like Git. - Understanding of basic MLOps concepts for deploying machine learning models in production. - Interest in AI deployment tools such as Flask, FastAPI, Django, etc., for serving models in real-world applications.,

As a Data Analyst at our company, you will be responsible for handling large datasets using CSV and Python to support business decisions. You will have the following key responsibilities: - Import, clean, and process data from CSV and other formats using Python. - Perform data analysis and generate reports or dashboards. - Identify trends, patterns, and insights from datasets. - Collaborate with cross-functional teams to support data-driven decisions. To excel in this role, you must meet the following qualifications: - Minimum 2 years of experience in data analysis. - Strong knowledge of Python (Pandas, NumPy, etc.). - Experience working with CSV, Excel, or similar data formats. - Good analytical and problem-solving skills. Please note that this is a full-time position that requires you to work in person at our specified location.,

As an IT Data Engineer at Qualcomm India Private Limited, you will play a crucial role in handling and analyzing large datasets. Your responsibilities will include: - Writing efficient SQL queries, solving real-world case studies, and practicing advanced topics like window functions and CTEs. - Demonstrating proficiency in Python basics for data cleaning with Pandas and NumPy, along with experience in automation. - Utilizing BI tools such as Tableau, Power BI, or Splunk to present actionable insights, build dashboards, create data models, and develop visually engaging reports and alerts with data refresh schedules. - Understanding statistical concepts like mean, median, mode, standard deviation, hypothesis testing, confidence intervals, and basics of probability. Qualcomm values candidates with the following qualifications: - Minimum of 4 years of IT-related work experience with a Bachelor's degree in Computer Engineering, Computer Science, Information Systems, or a related field, or 6+ years of IT-related work experience without a Bachelor's degree. - At least 2 years of work experience in programming (e.g., Java, Python), 1+ year of work experience with SQL or NoSQL databases, and 1+ year of work experience with data structures and algorithms. - Bachelors/Masters or equivalent degree in computer engineering or a related field. Additionally, any certification in the mentioned skills would be an added advantage. Qualcomm is an equal opportunity employer committed to providing accessible and reasonable accommodations for individuals with disabilities during the application and hiring process. The company expects its employees to adhere to all policies and procedures, including security measures for protecting confidential information. Please note that our Careers Site is exclusively for individuals seeking job opportunities at Qualcomm, and unsolicited resumes or applications from staffing and recruiting agencies will not be accepted. For more information about this role, please reach out to Qualcomm Careers.,

As a hiring partner for many IT organizations,We are hiring for below position as direct full time on the payroll as a permanent employee of the Hiring Organization.Please share your updated word format resume with CTC, Location and Notice period at "info@unimorphtech.com" Role : Machine Learning Operations EngineerExperience : 5+ YrsLocation : Chennai ## Key Skills : ML Solutions,MLOPs,Machine Learning model deployment, monitoring & governance,Design and develop machine learning pipelines and frameworks,Azure,Snowflake,Machine learning pipeline,framework,Machiice Learning Engineering,data science,Python,TensorFlow, PyTorch,Data modeling,cloud aechitecture. # Roles and Responsibilities Work with stakeholders to define machine learning solution design (based on cloud services like Azure and Snowflake), that adheres to industry best practices. Design and develop machine learning pipelines and frameworks to support enterprise analytical/reporting needs. Provide guidance and collaborate on model deployment design with data science, ML engineering, and data quality teams. Manage and configure the cloud environments and related ML services. Implement improvements and new tools and approaches aimed at model integration, storage, profiling, processing, management and archival. Recommend improvements and platform development to meet strategic objectives of Global Technology and the MPG business. Utilize Agile practices to manage and deliver features. Must stay current with key technologies and practices so that both current and new needs can be assessed for suitability to business requirements. # Experience : Bachelor's degree in Computer Science, Engineering or Technical Field preferred. Minimum 3-5 years of relevant experience. Proven experience in machine learning engineering and operations. Profound understanding of machine learning concepts, model lifecycle management, and experience in model management capabilities including model definitions, performance management and integration. Execution of model deployment, monitoring, profiling, governance and analysis initiatives. Excellent interpersonal, oral, and written communication; Ability to relate ideas and concepts to others; write reports, business correspondence, project plans and procedure documents. Solid Python, ML frameworks (e.g., TensorFlow, PyTorch), data modeling, and programming skills. Experience and strong understanding of cloud architecture and design (AWS, Azure, GCP). Experience using modern approaches to automating machine learning pipelines. Agile and Waterfall methodologies. Ability to work independently and manage multiple task assignments within a structured implementation methodology. Personally invested in continuous improvement and innovation. Motivated, self-directed individual that works well with minimal supervision. Must have experience working across multiple teams/technologies.

As a hiring partner for many IT organizations,We are hiring for below position as direct full time on the payroll as a permanent employee of the Hiring Organization.Please share your updated word format resume with CTC, Location and Notice period at "info@unimorphtech.com" Role : Machine learning engineer Sr. managerExperience : 8-12+ YrsLocation : Bangalore or Chennai ## Key Skills : Python,Python libraries like NumPy, Pandas, PyTorch, TensorFlow, and Scikit-learnDesign & deploy Machine learning pipelines on cloud platform(Azure),MLOPs,MLOps tools such as MLFlow and Weights & Biases,ML deployments,Machine learning frameworks & GRC.ETL pipeline for data processing on Azure,Snowflake,CI-CD using tools like Git and Jenkins. # Purpose :We are looking for a highly skilled and motivated Machine Learning Engineer to join our team to design, develop, and deploy scalable machine learning solutions. In this role, you will work on building robust ML pipelines, optimizing large-scale data processing, and implementing state-of-the-art MLOps frameworks on cloud platforms like Azure and Snowflake. # HIghlights- Design and deploy end-to-end machine learning pipelines on cloud platforms (Azure, Snowflake).- Build efficient ETL pipelines to support data preparation, model training, and evaluation on Snowflake and Azure.- Scale machine learning infrastructure to handle large datasets- Ensure secure ML deployments with Governance,Risk and Compliance- Experience building scalable ML systems # Roles and Responsibilties : This is a global role working across diverse business areas, brand and geographies, providing business outcomes and enabling transformative impact across the global landscape. Design and deploy end-to-end machine learning pipelines on cloud platforms (Azure, Snowflake) to deliver scalable, production-ready solutions. Build efficient ETL pipelines to support data preparation, model training, and evaluation on modern platforms like Snowflake. Scale machine learning infrastructure to handle large datasets and enable real-time processing for critical applications. Implement MLOps frameworks to automate model deployment, monitoring, and retraining, ensuring seamless integration of ML solutions into business workflows. Monitor and measure model drift (concept, data, and performance drift) to maintain ongoing model effectiveness. Deploy machine learning models as REST APIs using frameworks such as FastAPI, Bento ML, or Torch Serve. Establish robust CI/CD pipelines for machine learning workflows using tools like Git and Jenkins, enabling efficient and repeatable deployments. Ensure secure ML deployments, addressing risks such as adversarial attacks and maintaining model integrity. Build modular and reusable ML packages using object-oriented programming principles, promoting code reusability and efficiency. Develop clean, efficient, and production-ready code by translating complex business logic into software solutions. Continuously explore and evaluate MLOps tools such as MLFlow and Weights & Biases, integrating best practices into the development process. Foster cross-functional collaboration by partnering with product teams, data engineers, and other stakeholders to align ML solutions with business objectives. Lead data labeling and preprocessing tasks to prepare high-quality datasets for training and evaluation. Stay updated on advancements in machine learning, cloud platforms, and secure deployment strategies to drive innovation in ML infrastructure. # Experience : Masters degree in Computer Science, Computational Sciences, Data Science, Machine Learning, Statistics , Mathematics any quantitative field Expertise with object oriented programming (Python, C++) Strong expertise in Python libraries like NumPy, Pandas, PyTorch, TensorFlow, and Scikit-learn Proven experience in designing and deploying ML systems on cloud platforms (AWS, GCP, or Azure). Hands-on experience with MLOps frameworks, model deployment pipelines, and model monitoring tools. Track record of scaling machine learning solutions from prototype to production. Experience building scalable ML systems in fast-paced, collaborative environments. Working knowledge of adversarial machine learning techniques and their mitigation Agile and Waterfall methodologies. Personally invested in continuous improvement and innovation. Motivated, self-directed individual that works well with minimal supervision.

As a Signal Processing Intern at GalaxEye Space, you will be involved in developing advanced Digital Signal Processing (DSP) algorithms that convert raw radar signals into high-resolution satellite images. This role offers you the chance to explore the intriguing realm of spaceborne radar systems and actively contribute to genuine satellite missions. Key Responsibilities: - Implement and enhance core SAR focusing algorithms. - Investigate sub-aperture and spotlight imaging techniques for superior image precision. - Create motion compensation and phase correction methods to improve image quality. - Utilize simulation tools to produce synthetic SAR data for testing and validation. - Assess image quality using professional metrics like IRF, PSLR, etc. - Optimize algorithms for computational efficiency on flight and ground systems. - Thoroughly document all technical work, including derivations, code specifics, and performance analysis. Requirements: - Currently pursuing a Bachelors, Masters, or Ph.D. in Electrical Engineering, Computer Science, Physics, or a related field. - Solid grasp of Digital Signal Processing (DSP), Linear Algebra, and Fourier Analysis. - Proficiency in Python, particularly NumPy and SciPy. - Demonstrates curiosity, self-motivation, and a keen interest in SAR systems. Preferred Skills (Nice to Have): - Familiarity with radar systems or microwave theory. - Exposure to GPU programming, parallel computing, or optimization. - Experience in image formation, reconstruction, or remote sensing calibration. At GalaxEye Space, you will have the opportunity to work with authentic space mission data that directly impacts image resolution and quality. You will also benefit from mentorship provided by experienced signal processing and SAR experts, exposure to multi-sensor fusion (SAR + MSI), and a dynamic startup culture that prioritizes innovation and curiosity. Additionally, you will have the chance to contribute to cutting-edge radar imaging technology.,

You will be responsible for the following key tasks: - Design, develop, and maintain scalable backend systems using Python frameworks such as FastAPI, Django, and Flask. - Build, deploy, and maintain RESTful APIs to support various front-end and mobile applications. - Implement asynchronous jobs and background tasks using libraries like Celery, Dramatiq, or RQ. - Utilize multi-threading and concurrency to optimize backend performance. - Containerize applications using Docker and deploy to cloud platforms such as AWS, Google Cloud, or Azure. - Integrate with relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, Redis). - Implement CI/CD pipelines for continuous integration, testing, and deployment. - Collaborate with cross-functional teams, including front-end developers, to ensure smooth and efficient system integration. - Ensure scalability, security, and high performance in backend systems, optimizing code where necessary. - Stay informed on the latest technologies and practices in backend development, cloud infrastructure, and data analytics. - Use data analytics tools to provide insights where needed, utilizing libraries such as Pandas, NumPy, or similar. About KPMG in India: KPMG entities in India are professional services firm(s) affiliated with KPMG International Limited. Established in India in August 1993, KPMG has offices across various cities in India. They offer services to national and international clients across sectors, providing industry-focused and technology-enabled services tailored to the Indian business environment.,

As a Hardware Engineer at Qualcomm India Private Limited, you will play a crucial role in planning, designing, optimizing, verifying, and testing electronic systems. Your responsibilities will include working on various systems such as circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems. You will be instrumental in launching cutting-edge products by collaborating with cross-functional teams to develop solutions and meet performance requirements. Key Responsibilities: - Design and implement end-to-end data analytics workflows tailored to semiconductor engineering use cases. - Develop, train, and optimize ML models using supervised, unsupervised, and deep learning techniques. - Perform feature engineering, model evaluation, and hyperparameter tuning to improve model performance. - Build scalable data ingestion and transformation pipelines using Python and cloud-native tools. - Apply statistical analysis and visualization techniques to derive insights from large datasets. - Conduct time series analysis using methods such as ANOVA and other statistical techniques. - Experiment with GenAI platforms, LLMs, and RAG techniques to enhance model capabilities. - Collaborate with cross-functional teams to integrate ML models into engineering workflows and tools. - Document methodologies and provide technical guidance to internal teams. Qualification Required: - Masters degree in Computer Science, Data Science, or a related field. - Strong programming skills in Python or C++. - Solid understanding of data structures, algorithms, and software design principles. - Strong analytical and problem-solving skills. - Hands-on experience with supervised and unsupervised learning techniques (e.g., classification, clustering, dimensionality reduction). - Experience with deep neural network architectures including RNNs, and Transformers. - Experience with ML frameworks such as scikit-learn, TensorFlow, or PyTorch. - Proficiency in data analysis using Pandas, NumPy, and Matplotlib. - Statistical Analysis & Visualization - Feature Engineering & Model Evaluation - Understanding of GPU, CUDA & High performance Computing Frameworks & Methods. Preferred Qualifications: - PHD in Computer Science, Data Science, or a related field. - Experience in large Model Development & Training from the Scratch. - Familiarity with time series analysis methods including ANOVA, ARIMA, and seasonal decomposition. - Familiarity with SQL databases, ETL frameworks, and cloud platforms (e.g., AWS). - Knowledge of LLM integration frameworks (e.g., LangChain). - Hands-on experience with distributed computing and cloud-scale data processing. - Software Design & Architecture Qualcomm India Private Limited is focused on applying state-of-the-art AI and ML technologies to enhance engineering efficiency through intelligent automation, data-driven insights, and innovative tool development. If you are a passionate and technically strong engineer looking to drive innovation in chip design, qualification, and debug engineering, this is the perfect opportunity for you.,

As a Python Developer at our company, you will have the opportunity to work with Oracle's cutting-edge technology to develop, implement, and support the global infrastructure. Your primary focus will be on building intelligent applications and contributing to our machine learning initiatives. Key Responsibilities: - Develop, test, and maintain Python applications with a specific focus on AI/ML features. - Build and deploy machine learning models to address real-world business challenges. - Write clean, efficient, and well-documented code following industry best practices. - Collaborate closely with data scientists to seamlessly integrate ML models into production systems. - Optimize existing code and algorithms to enhance performance and scalability. - Participate actively in code reviews, offering constructive feedback to fellow team members. - Debug and troubleshoot issues within both development and production environments. - Stay abreast of the latest trends in Python, AI, and machine learning technologies. Qualifications Required: - Strong proficiency in Python programming with a minimum of 3 years of experience. - Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn. - Understanding of machine learning concepts, including supervised and unsupervised learning. - Familiarity with data manipulation libraries like Pandas and NumPy. - Knowledge of RESTful API development and integration. - Proficiency in version control systems, particularly Git. - Basic understanding of SQL and database operations. - Problem-solving mindset with keen attention to detail.,

Qualcomm India Private Limited is looking for a Hardware Engineer to join their Engineering Group, specifically focusing on Hardware Engineering. As a Qualcomm Hardware Engineer, you will be responsible for planning, designing, optimizing, verifying, and testing electronic systems, circuits, mechanical systems, and equipment to launch cutting-edge products. You will collaborate with cross-functional teams to develop solutions and meet performance requirements. Key Responsibilities: - Design and implement end-to-end data analytics workflows tailored to semiconductor engineering use cases. - Develop, train, and optimize ML models using supervised, unsupervised, and deep learning techniques. - Perform feature engineering, model evaluation, and hyperparameter tuning to improve model performance. - Build scalable data ingestion and transformation pipelines using Python and cloud-native tools. - Apply statistical analysis and visualization techniques to derive insights from large datasets. - Conduct time series analysis using methods such as ANOVA and other statistical techniques. - Experiment with GenAI platforms, LLMs, and RAG techniques to enhance model capabilities. - Collaborate with cross-functional teams to integrate ML models into engineering workflows and tools. - Document methodologies and provide technical guidance to internal teams. Qualification Required: - Master's degree in Computer Science, Data Science, or a related field. - Strong programming skills in Python or C++. - Solid understanding of data structures, algorithms, and software design principles. - Strong analytical and problem-solving skills. - Hands-on experience with supervised and unsupervised learning techniques. - Experience with deep neural network architectures including RNNs and Transformers. - Experience with ML frameworks such as scikit-learn, TensorFlow, or PyTorch. - Proficiency in data analysis using Pandas, NumPy, and Matplotlib. - Familiarity with statistical analysis & visualization, feature engineering, and model evaluation. If you are a passionate engineer with a strong technical background, this role at Qualcomm offers the opportunity to work on advanced data analytics and machine learning models in the chip design, qualification, and debug engineering processes. You will play a key role in enhancing engineering efficiency through intelligent automation, data-driven insights, and innovative tool development.,

As a developer with 8+ years of experience in developing distributed systems, you will be responsible for the following key responsibilities: - Deliver on the functional requirements for the Regulatory exercises related to Group Functions - Finance and Regulatory Stress Testing - Ensure compliance with Group standard requirements and display exemplary conduct by living the Groups Values and Code of Conduct - Collaborate with key stakeholders including regulators for Stress testing and IRIS domain Qualifications required for this role include: - Education: Bachelors in computer engineering or equivalent - Languages: Proficiency in Python, Java, SQL, JavaScript, Spark, PySpark Skills and experience required: - Strong understanding of API and microservices architecture - Familiarity with Azure and AWS services - Proficiency in working with databases and SPARK - Excellent coding skills in Python and Java - Experience with Kubernetes and PySpark About Standard Chartered: Standard Chartered is an international bank focused on driving commerce and prosperity through its unique diversity. With a history spanning over 170 years, the bank is committed to making a positive impact on clients, communities, and employees. At Standard Chartered, you will have the opportunity to challenge the status quo, grow professionally, and contribute to a bank that values inclusion and innovation. What we offer: - Core bank funding for retirement savings, medical and life insurance - Time-off benefits including annual leave, parental/maternity leave, sabbatical, and volunteering leave - Flexible working options based on home and office locations - Proactive wellbeing support through digital platforms and development courses - Continuous learning culture with opportunities for growth and development Join Standard Chartered to be a part of an inclusive and values-driven organization that celebrates diversity and empowers employees to reach their full potential.,

As a Data Annotation & AI Support Associate, your role will involve assisting the AI/ML team in preparing high-quality datasets for machine learning projects. You will work with various data types including images, videos, spreadsheets, and basic Python scripts to ensure data labelling and quality verification are done accurately. Your responsibilities will include: - Image & Video Annotation: - Drawing bounding boxes, segmentation polygons, and keypoints. - Labeling objects following internal annotation guidelines. - Reviewing and correcting previously annotated samples. - Watching raw videos to identify usable clips and flag anomalies. - Data Cleaning & Quality Control: - Removing duplicates, corrupted files, and poor-quality samples from datasets. - Validating dataset folder structures, filenames, metadata, and formats. - Maintaining organized dataset versions (raw, processed, clean). - Reviewing footage to determine the validity and quality of clips. - Excel & Spreadsheet Analysis: - Sorting, filtering, and inspecting data using Excel/Google Sheets. - Identifying anomalies, inconsistencies, missing values, and outliers. - Computing basic statistics like mean, median, and mode. - Preparing small summary reports for the AI team. - Python Utility Tasks (Good to Have): - Running preprocessing or conversion scripts. - Writing basic Python code for automating repetitive tasks. - Using Jupyter notebooks or CLI tools for data exploration. Qualifications required for this role include: - Experience with annotation tools such as CVAT, Label Studio, Roboflow, VGG Annotator, etc. - Strong attention to detail, especially during repetitive data review tasks. - Comfort working with Excel/Google Sheets and large datasets. - Basic understanding of Python, NumPy, or Pandas is preferred. - Ability to work with large files, cloud storage, and structured folders. It would be beneficial if you have prior experience with AI/ML data preparation or annotation, understanding of object detection formats like YOLO, COCO, Pascal VOC, familiarity with dataset validation and quality-check techniques, and exposure to Git, Linux, or Jupyter Notebooks. Additionally, soft skills required for this role include strong communication, collaboration with engineers, reliability, consistency, responsibility in task execution, and an ownership mindset focusing on delivering high-quality work.,