1565 Pandas Jobs - Page 17

We are hiring a Python-based Data Engineer to develop ETL processes and data pipelines. Key Responsibilities : Build and optimize ETL/ELT data pipelines. Integrate APIs and large-scale data ingestion systems. Automate data workflows using Python and cloud tools. Collaborate with data science and analytics teams. Required Qualifications: 2+ years in data engineering using Python. Familiar with tools like Airflow, Pandas, and SQL. Experience with cloud data services (AWS/GCP/Azure).

Were seeking a Data Scientist with strong analytical and modeling skills to solve high-impact problems using data. Key Responsibilities:Analyze large datasets to extract actionable insights. Build predictive models and machine learning algorithms. Communicate findings to technical and non-technical stakeholders. Collaborate with engineering teams for deployment. Required Qualifications:2+ years of experience in data science. Proficient in Python, pandas, NumPy, and scikit-learn. Experience with statistical modeling and data visualization tools.

Were seeking a Data Scientist with strong analytical and modeling skills to solve high-impact problems using data. Key Responsibilities:Analyze large datasets to extract actionable insights. Build predictive models and machine learning algorithms. Communicate findings to technical and non-technical stakeholders. Collaborate with engineering teams for deployment. Required Qualifications:2+ years of experience in data science. Proficient in Python, pandas, NumPy, and scikit-learn. Experience with statistical modeling and data visualization tools.

Were seeking a Data Scientist with strong analytical and modeling skills to solve high-impact problems using data. Key Responsibilities:Analyze large datasets to extract actionable insights. Build predictive models and machine learning algorithms. Communicate findings to technical and non-technical stakeholders. Collaborate with engineering teams for deployment. Required Qualifications:2+ years of experience in data science. Proficient in Python, pandas, NumPy, and scikit-learn. Experience with statistical modeling and data visualization tools.

Were seeking a Data Scientist with strong analytical and modeling skills to solve high-impact problems using data. Key Responsibilities:Analyze large datasets to extract actionable insights. Build predictive models and machine learning algorithms. Communicate findings to technical and non-technical stakeholders. Collaborate with engineering teams for deployment. Required Qualifications:2+ years of experience in data science. Proficient in Python, pandas, NumPy, and scikit-learn. Experience with statistical modeling and data visualization tools.

Role: Python Developer Experience - 5+ Years Location - Pune (WFO) Lead the effort to design, build and configure applications, acting as the primary point of contact. Professional & Technical Skills: - Must To Have Skills: Proficiency in Python (Programming Language). - Strong understanding of application development frameworks. - Experience with database management and SQL. - Familiarity with version control systems such as Git. - Ability to troubleshoot and debug applications effectively. Additional Information: - The candidate should have a minimum 5 years of experience in Python (Programming Language). - This position is based at our Pune office. - A 15 years full time education is required

New or Never Normal Job Title: Internal Audit Team Member Corporate Grade: CA freshers Kotak Overview Kotak Mahindra Bank Limited is an Indian banking and financial services company headquartered in Mumbai, India. It offers banking products and financial services for corporate and retail customers in the areas of personal finance, investment banking, life insurance, and wealth management. At Kotak, we expect more from ourselves, than what anyone else expects of us. This way, we are creating a rewarding and delightful experience every day for our customers. We are an equal opportunity employer and we are opposed to discrimination on any grounds. Overall purpose of role As Kotak Internal Audit Member, you will be a part of Kotak Internal Audit Department (IAD) which aims to provide independent, reliable, valued, insightful and timely assurance to the Board and executive management thus demonstrating a role of an ENABLER . This is achieved by looking at the effectiveness of governance, risk/control framework over current and evolving risks, within the current and expected business environment and in accordance with the international standards definition of internal auditing. Kotak IAD is a 200+ member department spread across 5 locations (Mumbai, Ahmedabad, Bangalore, Chennai and Delhi) which is set up to perform Internal Audits for KMBL (Kotak Mahindra Bank Limited) Flagship Company of the Kotak group. A one-stop shop. 4 Strategic Business Units - Consumer Banking, Corporate Banking (Wholesale Banking), Commercial Banking, Treasury. Key Accountabilities Executing the delivery of the Kotak IADs Audit plan for the calendar year. To assist the Team Supervisor / Team Lead on assigned audit work of KMBL Businesses & Processes. This will entail working on the audit to deliver the Audit Planning Memo, Controls Document, agree issues & action plans with management and submission of draft report to the Team Supervisor. Demonstrate sound knowledge of both business/technical areas and expert knowledge in the audit process, including the IA systems, to ensure that audit work is carried out with a high standard that meets all methodologies. Demonstrate sound knowledge of regulations governing the bank (RBI, IRDA, SEBI, FEMA, FIMMDA, FEDAI, FATCA, NDS-OM, etc.) Conducts reviews to understand end-to-end process, evaluate and highlight key control deficiencies, analyse root cause and discuss / agree with management for effective and timely remediation plans. Manage individual workflow to ensure timely report deliveries with quality articulation of audit queries Writing high quality audit reports. To embrace and demonstrate effective Audit report writing & presentation skills from E2E perspective (Planning, Execution, Discussion, Clarification, Finalisation, Documentation into system etc.) Endeavouring to update awareness of risk issues and changes across relevant business units and use this knowledge to update the audit approach. Driving and leading discussions with relevant stakeholders regarding audit observations, consulting with IAD team supervisors / Team Leads. Decision-making and Problem Solving Take into account reputation of Kotak at all times, through positive interactions and adhering to policies, procedures and manuals. Set an example and supports fair and ethical behaviour. Make sure you are equipped to be able to protect our reputation at all times. Challenge others where appropriate, if you believe self to be correct. Endeavour to be part in decision making on a broad range of factors, with Kotaks values at heart - Always Responsible, Always Accountable. Risk and Control Objective [This section is mandatory for all role profiles] Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework and internal Kotaks Policies and Standards. Person Specification Personal attributes essential to performing role including competencies, expertise, knowledge, and experience. Noteexperience requirements must not be in the form of years (minimum or otherwise). Essential Skills/Basic & Preferred Qualifications: Understanding of Banking Business their products and processes. Person who can work alone, close audits and manage stakeholders Relevant professional qualifications e.g. CA/CMA, CISA, CIA, (Bachelors degree mandatory). A Bachelors degree in Commerce (preferably) holder with at least3-5 years of experiencein internal audit of a financial institution and/or relevant experience in the following areas: Experience in a BFSI or Finance processes, including audit. Understanding of relevant regulatory environment would be an added advantage. Experience in data analytics and/or exposure to data science/machine learning techniques would be an added advantage.

Role: Python SQL Bigquery 5+ years of experience in Python is must Notice Period - Immediate to 30 Days 7+ overall years of experience is required Job Summary We are seeking a highly skilled Senior Data Engineer with extensive experience in Python, SQL, and Google BigQuery. The ideal candidate will play a critical role in designing, building, and maintaining scalable data solutions that drive business insights. This role requires strong problem-solving abilities, a keen eye for detail, and a passion for working with large datasets. Key Responsibilities: Develop, optimize, and maintain data pipelines using Python, SQL, and BigQuery. Design and implement efficient data warehouse solutions to support analytics and business intelligence needs. Ensure data quality, integrity, and security across all projects. Collaborate with data scientists, analysts, and business teams to understand data requirements. Write complex SQL queries and procedures for performance optimization. Automate data workflows and processes to improve efficiency. Monitor and troubleshoot data pipelines to ensure seamless data processing. Stay updated with industry trends and best practices in data engineering and analytics. Required Skills & Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or related field. 5+ years of experience working with Python, SQL, and BigQuery. Strong experience in data modeling, ETL development, and data warehousing concepts. Expertise in writing optimized SQL queries for large-scale datasets. Hands-on experience with cloud-based data platforms, preferably Google Cloud. Excellent problem-solving skills and ability to work independently. Strong communication and collaboration abilities.

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred technical and professional experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred Experience in python and pyspark will be added advantage

As a Generative AI Senior Developer with IBM Consulting, you are primarily responsible for designing and implementing complex GenAI solutions using IBM WatsonX and Ecosystem Partner Stacks (Microsoft Azure / Open AI, AWS, Aleph Alpha, as well as Open Source). In addition, you are supporting business development, sales as well as the delivery of consulting and system integration projects in Data & AI for our clients. * You have end-to-end technical responsibility during the acquisition, design and delivery of technically complex GenAI projects at scale * You are accountable for the development and productive deployment of scalable Generative AI applications and platforms, particularly within (hybrid) cloud architectures. * You provide consultation and support to clients and colleagues in architecting and selecting the right technology stack for flexible, scalable, and economical GenAI solutions. * You guide and support clients and colleagues in the adoption of development and operational processes for AI solutions, such as Agile DevOps, FinOps, Trustworthy AI and MLOps methodologies. * You stay abreast of the latest developments in the Artificial Intelligence market and research environment, actively participating in knowledge transfer within IBM Consulting, especially when it comes to mentoring junior team members and delivery teams. * You also develop the strategy, vision, and roadmap for GenAI architectures within our consulting business, contributing to both our immediate sales objectives and long-term business growth. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Professional with at least 6-10 years of experience ideally in data and analytics and/or architecture, including 3 years in the design, build, and implementation of AI/Deep Learning & GenAI solutions. * Experienced in architecting AI solutions and managing delivery of highly technical analytics use cases. * Conversant with technical stacks used to support Generative AI use cases (AWS, Google, Microsoft, Watson X). * Familiar with relevant concepts (eg transformer model architectures, prompt engineering, model fine tuning, retrieval augmented generation architectures) and models/technologies (Microsoft Azure / Open AI, AWS, Aleph Alpha, Hugging Face etc as well as Open Source). * Very good at stakeholder management and influencing skills, consultancy skills a very strong plus. * Able to convey complex technical concepts to non-technical stakeholder Preferred technical and professional experience Experienced in architecting AI solutions and managing delivery of highly technical analytics use cases. * Conversant with technical stacks used to support Generative AI use cases (AWS, Google, Microsoft, Watson X). * Familiar with relevant concepts (eg transformer model architectures, prompt engineering, model fine tuning, retrieval augmented generation architectures) and models/technologies (Microsoft Azure / Open AI, AWS, Aleph Alpha, Hugging Face etc as well as Open Source). * Very good at stakeholder management and influencing skills, consultancy skills a very strong plus. * Able to convey complex technical concepts to non-technical stakeholders.* Fluent in English

At EY, you will have the opportunity to shape a career tailored to your unique qualities, supported by a global network, inclusive environment, and cutting-edge technology to empower you to reach your full potential. Your distinctive voice and perspective are essential in contributing to the continuous improvement of EY. Join us in creating an exceptional journey for yourself and in making a positive impact on the working world for all. As an AI and Full Stack Technical Lead, you are required to have 4-7 years of experience in application development, with a minimum of 3 years focused on designing and implementing modular and reusable code using ReactJs. Your expertise should include strong proficiency in React JS, Node JS, and Express JS, along with knowledge in Redux/Flux, RxJS, HTML, CSS, JavaScript, AJAX, and JSON. You are expected to be well-versed in UI development concepts, web application architecture principles, design patterns, and front-end web technologies. In addition to technical skills, you should possess hands-on experience in Sass & CSS Frameworks, Rest API knowledge, core Python concepts, API integration, data processing using libraries such as pandas and NumPy, and familiarity with AI/ML libraries like scikit-learn and transformers. Experience in writing unit and integration test cases, agile methodologies, responsive UI development, and proficiency in tools like Visual Studio, TFS, VSTS, and GIT are essential. Soft skills play a crucial role in this role, with emphasis on excellent communication, teamwork, self-motivation, ability to thrive in high-pressure situations, strong presentation skills, and collaboration with globally distributed teams. Your responsibilities will include understanding existing application architecture, developing engaging and accessible UI applications, collaborating with cross-functional teams in an agile environment, respecting UX principles, contributing to all phases of development, mentoring junior developers, establishing best practices, and staying updated on the latest technologies relevant to EY's business needs. EY is dedicated to building a better working world by delivering long-term value for clients, fostering trust in the capital markets, and driving growth and transformation through the expertise of diverse teams across 150 countries. By leveraging data and technology, EY professionals in assurance, consulting, law, strategy, tax, and transactions strive to ask better questions and provide innovative solutions to address the complex challenges of today's world.,

About Taxmann At Taxmann, our vision is to achieve perfection, skill, and accuracy in everything we do. From its humble beginnings as a small family business in 1972, Taxmann has evolved into a technology-oriented Publishing/Product company with independent Research & Editorial, Production, Sales & Marketing, and Technology divisions, which have now become the backbone of Taxmann. Our mission at Taxmann is to spearhead the pursuit of expertise and authenticity in providing the most authentic and fastest information reporting. With over 60 years of domain knowledge and the trust of more than 500k legal professionals nationwide, Taxmann proudly stands as the #1 source for everything related to Tax & Corporate Laws of India. Taxmann owes its success to its core strength, the Editorial and Research Division, which consists of over 200 highly motivated associates from the legal community, including advocates, lawyers, chartered accountants, and company secretaries. These professionals monitor all developments in the judicial, administrative, and legislative fields with impeccable perfection, skill, and accuracy. Job Responsibilities We are currently looking for a talented Data Scientist with expertise in GenAI, Python, Power BI, and SQL to join our team. The selected candidate will be responsible for collecting, analyzing, and interpreting complex data sets to support business decision-making. Additionally, they will be involved in creating APIs and web applications in Python, designing Python-based Rest APIs, developing Power BI dashboards, generating reports, and implementing data-driven strategies to enhance organizational efficiency. Key Responsibilities - Collect, process, and analyze large datasets to derive actionable insights. - Develop and enhance GenAI, Machine learning, and Natural Language Processing models for predictive modeling. - Create and optimize complex RAG projects for Chatbots. - Build and maintain RESTful APIs and web applications using Python frameworks such as Flask and FastAPI. - Utilize pandas and beautifulsoup for data extraction and manipulation. - Design and deploy Power BI dashboards and visualizations for real-time and ad hoc reporting needs. - Write efficient and scalable SQL queries for data extraction and analysis. - Collaborate with cross-functional teams to understand data requirements and deliver analytical solutions. - Present findings and recommendations to stakeholders in a clear and concise manner. - Ensure data accuracy, integrity, and governance throughout all analytics processes. - Automate data collection and reporting pipelines to enhance efficiency. Requirements - Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. - Minimum of 2 years of experience as a Data Scientist or in a similar analytical role. - Proficiency in Python for data manipulation, API development, and GenAI chatbot app creation. - Strong expertise in Power BI, including DAX and custom visual creation. - Advanced knowledge of SQL and relational databases. - Familiarity with tools like Pandas, NumPy, Scikit-learn, and other data analysis libraries. - Strong problem-solving and communication skills. - Experience with version control (e.g., Git) and deployment tools is advantageous. Preferred Qualifications - Experience with cloud platforms such as Azure, AWS, or GCP. - Knowledge of machine learning techniques and model deployment. - Background in business intelligence, KPIs, and performance tracking. (ref:hirist.tech),

Role & responsibilities we need strong python profiles who have worked on data engineering, aware of ETL or ELT processDevelop . Python processes to perform ETL/ELT type of work in the Finance space. Develop and maintain Python-based applications, focusing on data processing, integration, and analysis, including libraries like NumPy, Pandas. Connect to various data sources and build robust ETL/ELT processes to efficiently handle data extraction, loading and transformation from various sources into or out of the cloud platform Parse files/Tables from Upstream and load into Data Lake/DB. Transform and load data from various sources (CSV, JSON, XML, etc.) into different databases (Oracle, MS SQL). Handle multiple file formats as source/Sink and take data from Database (DB) or insert into DB Handle authentication/authorization when sourcing data (exchange of keys etc..) Provide detailed project, program and system documentation and specifications. Collaborate with other technical resources in a diverse environment. Proficiency in Python scripting and prior experience working with large datasets in Python. Experience with Python data processing libraries, excel and Bloomberg interfacing libraries. 6+ years of experience in Python ETL development and dealing with SQL. Proficiency in writing ANSI SQL queries. Knowledge of Oracle tools and technologies - Oracle 19c, SQL, PL/SQL, SQL Loader. Experience with Agile development methodology. Knowledge of Crystal Reports, Business Objects, Tableau or Power BI, Dremio is a plus. Proven conceptual, analytical and judgment skills with excellent oral and written communication skills. Preferred candidate profile

As an AI/ML Engineer (Python) at Telepathy Infotech, you will be responsible for building and deploying machine learning and GenAI applications in real-world scenarios. You will be part of a passionate team of technologists working on innovative digital solutions for clients across industries. We value continuous learning, ownership, and collaboration in our work culture. To excel in this role, you should have strong Python skills and experience with libraries like Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch. Experience in GenAI development using APIs such as Google Gemini, Hugging Face, Grok, etc. is highly desirable. A solid understanding of ML, DL, NLP, and LLM concepts is essential along with hands-on experience in Docker, Kubernetes, and CI/CD pipeline creation. Familiarity with Streamlit, Flask, FastAPI, MySQL/PostgreSQL, AWS services (EC2, Lambda, RDS, S3, API Gateway), LangGraph, serverless architectures, and vector databases like FAISS, Pinecone, will be advantageous. Proficiency in version control using Git is also required. Ideally, you should have a B.Tech/M.Tech/MCA degree in Computer Science, Data Science, AI, or a related field with at least 1-5 years of relevant experience or a strong project/internship background in AI/ML. Strong communication skills, problem-solving abilities, self-motivation, and a willingness to learn emerging technologies are key qualities we are looking for in candidates. Working at Telepathy Infotech will provide you with the opportunity to contribute to impactful AI/ML and GenAI solutions while collaborating in a tech-driven and agile work environment. You will have the chance to grow your career in one of India's fastest-growing tech companies with a transparent and supportive company culture. To apply for this position, please send your CV to hr@telepathyinfotech.com or contact us at +91-8890559306 for any queries. Join us on our journey of innovation and growth in the field of AI and ML at Telepathy Infotech.,

An exciting opportunity awaits you in a small yet strategically vital Modernization team within the Global Research business. This team is part of Corporate and Investment Banking Global Research and is dedicated to delivering innovative digital products, experiences, and solutions to both internal and external clients. These offerings enhance the curation and consumption of our Global Research product across diverse client channels. The Research Modernization team is committed to identifying new opportunities and spearheading execution and change throughout the organization. As a Python Developer within the Research Modernization team, you will bring dynamic energy, strong attention to detail, and the ability to multitask. In this role, you will have the opportunity to be highly organized, proactive, and flexible. Your keen attention to detail, strong communication skills, and sense of urgency will be highly valued. You will be responsible for building, deploying, and maintaining business processes using Python. Collaborating with Research Analysts to understand their data needs and translating their requirements into data/information solutions will also be a key aspect of your role. Utilizing Python for data handling and manipulation to prepare and transform data into a usable format for Research Analysts is another core responsibility. In addition, you will create, productionize, and store enhanced and original datasets, improve data analysis and discovery tools, and model the data with a focus on ease of storage, retrieval, and usability. Developing scripts and tools to automate repetitive tasks, improve efficiency, and streamline workflows will be essential. You will also automate publication and analytics workflows for Research Analysts, monitor and troubleshoot process performance and reliability issues, and identify opportunities for process improvement. Ensuring data quality and integrity through effective validation and testing processes, as well as researching and analyzing datasets using a variety of analytical techniques in Python, are crucial aspects of the role. You will need to have a Bachelor's degree in engineering, computer science, information technology, or other data science/analytics fields, along with a minimum of 1 year of hands-on experience in developing applications using Python. A high level of proficiency in Python and relevant packages for data handling and manipulation is essential. Hands-on experience and in-depth knowledge of libraries like Pandas and NumPy are required. A strong background in data structures, algorithms, and data engineering, with experience in multiple data/technology platforms, is also important. Strong analytical and problem-solving skills, excellent communication, presentation, interpersonal, and organizational skills, as well as being detail-oriented with a highly disciplined approach to processes and controls, are key attributes for success in this role. Understanding libraries for web scraping, such as BeautifulSoup and Selenium, will be a plus.,

As an AI Engineer, you will have the exciting opportunity to work with companies seeking individuals who are passionate and hands-on in developing and scaling intelligent features directly into their products. In this fast-paced and high-impact role, you will be instrumental in designing machine learning pipelines, fine-tuning models, and seamlessly deploying them. Your responsibilities will include designing, training, and deploying machine learning and deep learning models, such as NLP, vision, or tabular models. You will collaborate closely with product and engineering teams to build end-to-end AI-driven features. Additionally, you will be responsible for building and maintaining data pipelines, monitoring model performance in production environments, researching and implementing cutting-edge techniques to enhance model outcomes, optimizing models for performance and scalability, and ensuring reproducibility and version control of model experiments. To excel in this role, you should have a strong foundation in machine learning and deep learning algorithms. Proficiency in Python and ML libraries like PyTorch, TensorFlow, and Scikit-learn is essential. Experience with model deployment and serving, including REST APIs, ONNX, and TorchScript, will be beneficial. Familiarity with data handling tools such as Pandas and NumPy, as well as workflow tools like MLflow and Airflow, is also required. Strong problem-solving skills and an iterative, experiment-driven mindset are key attributes for success in this position. In terms of qualifications, a minimum of 3-10 years of relevant experience is required. Exposure to additional areas such as LLMs, embeddings, vector databases (e.g., FAISS, Pinecone), MLOps or DevOps workflows, GPT-like models, retrieval-augmented generation (RAG), multimodal systems, cloud platforms (AWS, GCP, or Azure), and streaming data or real-time systems will be considered a bonus. Joining this role offers you high ownership and the opportunity to shape AI-first product experiences. You can expect a fast-paced learning environment with exposure to the entire product lifecycle. The collaborative team setting provides room for growth and leadership opportunities, allowing you to work on cutting-edge ML applications with significant real-world user impact.,

As a Fullstack Developer with at least 6+ years of experience, you will be located in Hyderabad, Bangalore, or Chennai with shift timings from 2PM to 11PM. Your role will require expertise in Python, Django, React, and Redux. Your responsibilities will include demonstrating hands-on proficiency in Python application programming, Django REST framework, and Flask. You will be responsible for creating services such as message intake and processing pipelines, REST APIs, data manipulation, and external services calling. Your skill set should encompass Pandas, Pytest, Exception handling, Multithread concepts, Asyncio, and gRPC for Python microservices. In addition, you will be tasked with developing and implementing user interface components using React.js, Redux, and Webpack. A solid understanding of TypeScript, JavaScript, and React concepts is essential for this role. A top-class react.js developer should be capable of designing and constructing modern user interface components to optimize application performance. Participation in architectural, design, and product discussions is expected, along with experience in Agile/Scrum based project executions. Nice to have skills include familiarity with Unit testing frameworks like Junit, strong knowledge of CI/CD using Jenkins/Bamboo, understanding of Cloud App services, Load Balancer, Application Gateway, and hands-on experience with Cloud services, ideally Azure, including Azure Active Directory and Notification Hub. To excel in this role, you should possess a team-oriented mindset, collaborate effectively with the development team, demonstrate problem-solving abilities, self-sufficiency, excellent communication skills, and proficiency in documentation. An understanding of the Agile Scrum framework is also required.,

As a Python Developer specializing in Machine Learning and Artificial Intelligence with 2 to 3 years of experience, you will be responsible for developing, training, and deploying machine learning models. Your expertise in Python and associated data science libraries will be crucial in collaborating with our data science and engineering teams to create intelligent solutions that address real-world challenges. You will have the opportunity to work on AI-driven applications, including predictive modeling, natural language processing, and computer vision, based on project requirements. Your key responsibilities will include developing and maintaining machine learning models using Python, working on AI-driven applications, collaborating with cross-functional teams to translate business requirements into ML solutions, preprocessing and transforming data for training and evaluation, as well as performing model training, tuning, evaluation, and deployment using tools like scikit-learn, TensorFlow, or PyTorch. It will be essential for you to write modular, efficient, and testable code, document processes, models, and experiments clearly for team use and future reference, and stay updated with the latest trends and advancements in AI and machine learning. To excel in this role, you should have 2 to 3 years of hands-on experience with Python programming, a solid understanding of machine learning algorithms (supervised, unsupervised, and reinforcement learning), experience with libraries such as scikit-learn, pandas, NumPy, Matplotlib, and Seaborn, exposure to deep learning frameworks like TensorFlow, Keras, or PyTorch, a good understanding of data structures and algorithms, and experience with model evaluation techniques and performance metrics. Familiarity with Jupyter Notebooks, version control (Git), and cloud platforms (AWS, GCP, or Azure) is a plus. Strong analytical and problem-solving skills are essential for this position. Preferred qualifications include a Bachelors or Masters degree in Computer Science, Data Science, Mathematics, or a related field, experience with deploying ML models using Flask, FastAPI, or Docker, knowledge of MLOps and model lifecycle management, as well as an understanding of NLP or Computer Vision. If you are a motivated Python Developer with a passion for Machine Learning and AI, and possess the required skills and qualifications, we invite you to join our team and contribute to building innovative solutions that make a positive impact.,

As a software developer with 5-7 years of experience, particularly with large-scale data systems, you should possess a B.Tech / B.E or ME/ M.Tech / MCA degree. Your expertise should extend to machine learning concepts such as regression, classification, and clustering. Proficiency in Python (or R, Java, C++) is essential, along with hands-on experience in ML libraries like scikit-learn, TensorFlow, PyTorch, and Keras. A strong foundation in data structures, algorithms, statistics, and DBMS is crucial for this role. Your communication skills, both verbal and written, should cater to technical and non-technical audiences. Additionally, familiarity with data tools like Pandas, NumPy, and SQL, along with soft skills like analytical thinking, problem-solving, adaptability, and teamwork, will be beneficial. Desirable skills for this position include exposure to advanced ML areas such as deep learning, NLP, computer vision, or reinforcement learning. Knowledge of cloud platforms like AWS, Azure, or GCP is advantageous. Familiarity with version control using Git and an understanding of MLOps and pipeline concepts are considered a bonus.,

Qualcomm India Private Limited is a leading technology innovator pushing the boundaries of what's possible to enable next-generation experiences and drive digital transformation for a smarter, connected future. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and specialized utility programs to launch cutting-edge, world-class products exceeding customer needs. Collaborate with various teams to design system-level software solutions and gather performance requirements and interfaces. Minimum Qualifications: - Possess a Bachelor's degree in Engineering, Information Systems, Computer Science, or a related field. Senior Machine Learning & Data Engineer: Join our team as a Senior Machine Learning & Data Engineer with expertise in Python development. Design scalable data pipelines, build and deploy ML/NLP models, and enable data-driven decision-making within the organization. Key Responsibilities: - Data Engineering & Infrastructure: Design and implement robust ETL pipelines and data integration workflows using SQL, NoSQL, and big data technologies. - Machine Learning & NLP: Build, fine-tune, and deploy ML/NLP models using frameworks like TensorFlow, PyTorch, and Scikit-learn. - Python Development: Develop scalable backend services using Python frameworks such as FastAPI, Flask, or Django. - Collaboration & Communication: Work closely with cross-functional teams to integrate ML solutions into production systems. Required Qualifications: - Hold a Bachelors or Masters degree in Computer Science, Engineering, or a related field. - Possess strong Python programming skills and experience with modern libraries and frameworks. - Deep understanding of ML/NLP concepts and practical experience with LLMs and RAG architectures. Automation Engineer: As an Automation Engineer proficient in C#/Python development, you will play a crucial role in developing advanced solutions for Product Test automation. Collaborate with stakeholders to ensure successful implementation and operation of automation solutions. Responsibilities: - Design, develop, and maintain core APIs using C#. - Identify, troubleshoot, and optimize API development and testing. - Stay updated with industry trends in API development. Requirements: - Hold a Bachelor's degree in Computer Science, Engineering, or a related field. - Proven experience in developing APIs using C# and Python. - Strong understanding of software testing principles and methodologies. Qualcomm is an equal opportunity employer committed to providing accessible processes for individuals with disabilities. For accommodations, contact disability-accommodations@qualcomm.com.,

You will play a key role in Traya, an Indian direct-to-consumer hair care brand platform that provides holistic treatment for individuals dealing with hair loss. Your responsibilities will involve taking high autonomy and complete ownership of Key Business Metrics for platforms web and app while closely collaborating with the leadership team. Your main tasks will revolve around hunting for insights in data and translating them into projects to drive revenue for the organization. Your core competencies should include data analysis, visualization, SQL, Python and Pandas, tagging implementation reporting and optimization, and data solutions. You will be expected to generate valuable insights from data to enhance conversion rates and platform engagement. This role will span across various departments within the organization, requiring close collaboration with product, tech, marketing, content, and brand teams. An added advantage for this role would be experience with tools like Google Analytics (GA4), Google Tag Manager, Branch, AppsFlyer, and MoEngage. The opportunity presents itself to join an innovative, fast-growing D2C health brand that is focused on revolutionizing health for men and women in India. We are seeking a smart, passionate, and professional individual with a strategic mindset who is eager to contribute to the rapid growth of the organization. Key Requirements: - 5+ years of relevant experience - Experience working with a D2C brand - Proficiency in Python, PySpark, and SQL Preferred Qualities: - Analytical and Curious with an ability to question things - High level of accuracy and attention to detail - Self-motivated team player - Problem-solving attitude - Ability to prioritize and work efficiently in a fast-paced environment - Fun and positive attitude - Creative thinking - Hunger to learn quickly What Traya Offers: - Exponential learning and Personal/Professional Growth - Mentorship - Autonomy to think, work, and create independently - Data-driven decision-making - Fun and enthusiastic work culture - Best-in-class digital marketing learning Join us at Traya and be part of a team that is dedicated to providing holistic solutions for individuals struggling with hair loss. Your contributions will be valued, and you will have the opportunity to grow both personally and professionally in a dynamic and supportive environment.,

YASH Technologies is looking to hire AI/ML Professionals, specifically for the role of Data Scientist with 24 years of experience on a full-time basis. As a Data Scientist at YASH, you will be part of a dynamic team, leveraging your advanced analytical and technical expertise to solve complex business problems and drive impactful data-driven decisions. Your responsibilities will include building and deploying ML models for classification, regression, and clustering tasks, applying foundational GenAI concepts, utilizing APIs and tools like LangChain and vector databases, as well as preparing documentation and interpreting results. The ideal candidate should possess strong hands-on experience in Python, Scikit-learn, and Pandas, along with knowledge of model evaluation, feature engineering, and model tuning. Exposure to LangChain, vector databases, and basic knowledge of FastAPI or Flask will be beneficial for this role. At YASH Technologies, you will have the opportunity to create a career path that aligns with your aspirations while working in an inclusive team environment. The company focuses on continuous learning, unlearning, and relearning through career-oriented skilling models and technology-driven solutions. The workplace at YASH is grounded on principles of flexible work arrangements, emotional positivity, trust, transparency, open collaboration, support for business goals, stable employment, and an ethical corporate culture.,

Arista Networks is a renowned industry leader specializing in data-driven, client-to-cloud networking solutions tailored for large data center, campus, and routing environments. With a robust foundation and revenue exceeding $8 billion, Arista stands out for its award-winning platforms delivering Ethernet speeds up to 800G bits per second, setting new standards in scalability, agility, and resilience. As a founding member of the Ultra Ethernet consortium, Arista has globally shipped over 20 million cloud networking ports powered by CloudVision and EOS, an advanced network operating system. Committed to open standards, Arista offers its products worldwide through direct channels and partnerships. Diversity of thought and varied perspectives are highly valued at Arista, as the company believes in fostering an inclusive environment where individuals from diverse backgrounds and experiences can contribute to driving creativity and innovation. Arista's commitment to excellence has been recognized with prestigious awards, such as the Great Place to Work Survey accolades for Best Engineering Team and Best Company for Diversity, Compensation, and Work-Life Balance. The company takes pride in its successful track record and upholds the highest quality and performance standards in all endeavors. Arista is excited to expand the Wi-Fi Team at the Pune Development Center to elevate its Cognitive Wi-Fi solution to new heights. With ambitious growth plans for the Pune-based Development Center in the coming years, this is an opportune moment to join the team and make a significant impact on its evolution and direction. As a Software Engineer at Arista, you will collaborate with the Wi-Fi Data team within the broader Software Engineering team. The Wi-Fi Data team is pivotal to the success of Arista's Cognitive Wi-Fi solution, particularly in managing the increasing volumes of cloud-based data. This team offers ample opportunities for growth and influence due to its small and relatively new structure. Your responsibilities within the Wi-Fi Data team will involve close collaboration with Data Scientists to develop and maintain data and AI/ML pipelines operating at scale. This includes tasks like anomaly detection, root cause analysis, automatic remediation, and analytics use cases. Additionally, you will be involved in creating ELT data pipelines to extract data from multiple Wi-Fi sources and feed them into a data warehouse. You will also spearhead the development and management of CI/CD pipelines for deploying these data pipelines. Depending on the project, you may have the chance to showcase your work to a wider audience through talks and blog posts. Qualifications: - Bachelor's degree in Computer Science or a related field. - Proficiency in Python or Go. - Experience with databases (Relational and/or NoSQL). - Hands-on familiarity with DevOps tools like Jenkins, Git, Docker, Kubernetes, Ansible, and CI/CD pipelines. - Knowledge of data processing libraries such as Apache Beam and data manipulation libraries like Pandas (Python) would be advantageous. Arista prides itself on being an engineering-centric company where leadership, including founders and engineering managers, are engineers who prioritize sound software engineering practices and quality. With a global team, Arista offers engineers full ownership of their projects in a flat and streamlined management structure led by those with deep engineering expertise. Test automation tools are emphasized, and engineers enjoy exposure to diverse areas within the company. Arista's headquarters is in Santa Clara, California, with development offices in Australia, Canada, India, Ireland, and the US, considering all R&D centers equal in significance. Join Arista to be part of shaping the future of networking and contribute to a culture that values innovation, quality, respect, and enjoyment.,

The People Services & Technology team at Apple is currently seeking an experienced analytics developer to join our team. As a professional data analytics developer, you will have the opportunity to work alongside a team of experts with varied strengths at Apple. This role offers a chance to be part of a dynamic HR analytics team dedicated to enhancing the employee hire-to-retire experience, enabling individuals at Apple to excel in their work. You will collaborate with a global people analytics team to deliver insights and analytics for various people-related products, including recruitment, candidate care, employee relations, people surveys, talent planning, and other strategic focus areas within the People Services & Technology organization. As a people analytics developer, you will be integral to the team, utilizing data from multiple systems across the Apple HRIS landscape to derive powerful insights for leadership and develop analytical products that enhance the employee experience at Apple. Your responsibilities will include designing, developing, and deploying reports, analytics, and dashboards for the Source-to-Hire-to-Retire cycle to support data-driven decision-making. You will collaborate with business partners, regional coordinators, and leaders to identify reporting requirements, use tools like Tableau to create dashboards and reports, and re-model database architecture to meet business needs. Additionally, you will maintain existing analytics products, ensure successful delivery of new features, and enhance the reporting ecosystem for improvement, simplification, standardization, and security while adhering to Apple Data Compliance and Security standards. Minimum Qualifications: - Bachelor's degree or equivalent experience in Computer Science, Information Management Systems, Data Science, or related field - 6+ years of experience in developing and maintaining reports and analytics using analytical reporting tools with a focus on Tableau - Proficiency in data visualization and charting tools to generate dashboards for data insights Preferred Qualifications: - Technical expertise in advanced analytics techniques, SQL development, data visualization, and statistical analysis - Familiarity with HR analytics and reporting tools for measuring HR performance and employee satisfaction - Strong data engineering skills, including expertise in SQL and knowledge of Snowflake, MySQL, and Postgres databases - Ability to translate high-level business requirements into tangible prototypes and drive discussions for optimal solutions - Proactive approach to task assessment, priority setting, and resolution - Comfortable managing multiple priorities and setting customer expectations - Influence technology direction to enhance toolset and skills - Effective communication with partner teams, managers, and leadership - Foster a positive, open culture and exhibit Apple values of inclusion, trust, and respect - Certifications in Data Science, Reporting & Analytics tools - Knowledge of advanced data processing techniques using Python libraries such as Numpy & Pandas and data science libraries for statistical analysis If you meet the qualifications and are excited about this opportunity, please submit your CV for consideration.,

As a Data Analyst, you will be responsible for collecting, organizing, and cleaning large datasets from various sources such as internal databases, external APIs, and spreadsheets. Your role includes ensuring data accuracy, completeness, and consistency by cleaning and transforming raw data into usable formats. In addition to data collection and cleaning, you will perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies. Your responsibilities will also involve conducting statistical analysis to support decision-making and uncover insights. Using analytical methods, you will identify opportunities for process improvements, cost reductions, and efficiency enhancements. You will be tasked with creating and maintaining clear, actionable, and accurate reports and dashboards for technical and non-technical stakeholders. This includes designing data visualizations such as charts, graphs, and tables to effectively communicate findings to decision-makers. Experience in tools like PowerBI, Tableau, and Python libraries for data visualization is essential. Furthermore, you will collaborate with cross-functional teams to understand their data needs and provide actionable insights. Working closely with IT and database administrators, you will ensure data is accessible and well-structured. Your role will also involve preparing reports for upper management and other departments, presenting key findings and recommendations. Data integrity and security are crucial aspects of your responsibilities. You will ensure compliance with data privacy and security policies while maintaining data integrity and implementing best practices for data storage and access. To excel in this role, you should stay updated with emerging data analysis techniques, tools, and industry trends. Recommending improvements to data collection, processing, and analysis procedures to enhance operational efficiency is also expected. Qualifications: - Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field. - Master's degree or relevant certifications in data analysis or business intelligence is a plus. Experience: - Proven experience as a Data Analyst or in a similar analytical role (typically 7+ years). - Proficiency with data visualization tools like Tableau, Power BI, Looker. - Strong knowledge of SQL, relational databases, and data manipulation tools like Python, R, Excel, SPSS. - Experience with big data technologies such as Hadoop and Spark is advantageous. Technical Skills: - Proficiency in SQL and data query languages. - Knowledge of statistical analysis and methodologies. - Experience with data visualization and reporting tools. - Familiarity with data cleaning and transformation techniques. - Understanding of machine learning and AI concepts is beneficial for advanced roles. Soft Skills: - Strong analytical and problem-solving abilities. - Excellent attention to detail and ability to identify trends in complex data sets. - Good communication skills to present data insights clearly to technical and non-technical audiences. - Ability to work independently and collaboratively within a team. - Strong time management and organizational skills to prioritize tasks effectively.,