1551 Pandas Jobs - Page 4

Role Overview: We are looking for a Data Analyst with strong Python expertise to join our growing Analytics Team in Kolkata. The ideal candidate will have 3-4 years of experience in data analysis using Python, with hands-on skills in data manipulation, statistical logic, and backend data workflows. This is a full-time, on-site position requiring daily collaboration with cross-functional teams to deliver insights and scalable data solutions. Key Responsibilities: 1. Use Python to clean, transform, and analyze structured and semi-structured datasets. 2. Employ Pandas, NumPy, and related libraries to develop robust, reusable data workflows. 3. Extract and manipulate data efficiently using complex SQL queries from multiple relational databases. 4. Apply statistical methods and logic checks to validate assumptions and interpret results. 5. Collaborate with Data Scientists and Project Stakeholders to translate business requirements into data logic. 6. Write and maintain clean, well-documented Python scripts for repeatable analysis tasks and backend data processing. 7. Perform data validation, mapping, and reconciliation using Python and Advanced Excel. 8. Follow best practices in version control (e.g., Git) and maintain clear documentation for analytics processes. 9. Apply statistical techniques such as regression analysis (linear, logistic) and hypothesis testing to derive actionable insights from business data. Required Skills & Qualifications: 1. Bachelors degree in Computer Science, Statistics, Mathematics, or a related technical field. 2. 34 years of experience in a data analyst or data operations role with Python as the primary tool. 3. Strong knowledge of Python libraries such as Pandas, NumPy, Openpyxl, etc. 4. Proficient in SQL with the ability to write optimized, multi-table queries. 5. Strong Excel skills for data verification and supplementary reporting. 6. Knowledge of data visualization tools like Tableau or Power BI is beneficial. 7. Experience working with Git repositories, agile environments, and code documentation. 8. Sharp analytical thinking and a strong sense of ownership toward deliverables. 9. Working knowledge of regression models (linear, logistic) and familiarity with libraries such as Statsmodels or scikit-learn for statistical analysis.

Job Title: Python Developer Machine Learning & AI (2-3 Years Experience) Job Summary: We are seeking a skilled and motivated Python Developer with 2 to 3 years of experience in Machine Learning and Artificial Intelligence. The ideal candidate will have hands-on experience in developing, training, and deploying machine learning models, and should be proficient in Python and associated data science libraries. You will work with our data science and engineering teams to build intelligent solutions that solve real-world problems. Key Responsibilities: Develop and maintain machine learning models using Python. Work on AI-driven applications, including predictive modeling, natural language processing, and computer vision (based on project requirements). Collaborate with cross-functional teams to understand business requirements and translate them into ML solutions. Preprocess, clean, and transform data for training and evaluation. Perform model training, tuning, evaluation, and deployment using tools like scikit-learn, TensorFlow, or PyTorch. Write modular, efficient, and testable code. Document processes, models, and experiments clearly for team use and future reference. Stay updated with the latest trends and advancements in AI and machine learning. Required Skills: 2-3 years of hands-on experience with Python programming. 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 . Good understanding of data structures and algorithms. 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. Preferred Qualifications: Bachelors or Masters degree in Computer Science, Data Science, Mathematics, or related field. Experience with deploying ML models using Flask , FastAPI , or Docker . Knowledge of MLOps and model lifecycle management is an advantage. Understanding of NLP or Computer Vision is a plus.

As a Python AI/ML Developer with 4-5 years of experience, your main responsibility will be to design, develop, and maintain Python applications while ensuring code quality, efficiency, and scalability. You will collaborate with cross-functional teams to understand project requirements and deliver solutions that align with business objectives. Implementing AI/ML algorithms and models to solve complex problems and extract valuable insights from data will be a key part of your role. Additionally, you will be developing and maintaining RESTful APIs to integrate Python applications with other systems. It is essential to stay updated with the latest trends and technologies in Python development and AI/ML. To excel in this role, you should have a strong proficiency in Python programming, including object-oriented programming and design patterns. Experience with popular Python libraries and frameworks such as NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch is required. Knowledge of AI/ML concepts, algorithms, and techniques, including supervised and unsupervised learning, is crucial. Experience working with data pipelines and ETL processes is beneficial, and hands-on experience with chatbot applications is necessary. Excellent problem-solving and analytical skills are essential, along with the ability to work independently and as part of a team. Strong communication and documentation skills are also important. Preferred qualifications include experience with cloud platforms such as AWS, GCP, or Azure, knowledge of natural language processing (NLP) or computer vision, experience with machine learning deployment and operationalization, and contributions to open-source Python projects. Stay updated with the latest advancements in technology to enhance your skills and contribute effectively to the development of innovative solutions.,

You will be responsible for developing and implementing machine learning models to address business challenges, such as classification, regression, clustering, and recommendation systems. Your role will involve building and overseeing complete data science pipelines, encompassing data preprocessing, feature engineering, model creation, and deployment. Collaborating with diverse teams will be essential to seamlessly integrate models into operational environments. Your focus will be on ensuring that models are scalable, precise, and in line with business objectives. Additionally, you will work with both structured and unstructured data from various sources, including images, text, and sensor data. Continuous evaluation and enhancement of model performance will be crucial to ensure solutions remain current with the latest AI/ML advancements. To excel in this role, you should hold a Bachelor's or Master's degree in computer science, engineering, or a related field. A minimum of 3+ years of practical experience in data science and machine learning is required. Proficiency in Python is essential, along with a strong background in utilizing libraries such as Pandas, Scikit-learn, TensorFlow, or PyTorch. Experience in constructing and deploying machine learning models in live environments is essential. Familiarity with NLP techniques and deep learning models, including CNNs, RNNs, and Transformers like LLMs for classification and sentiment analysis, is crucial. Any exposure to cloud platforms (AWS, Azure, Google Cloud) and containerization technologies (Docker, Kubernetes) would be advantageous. Strong analytical and problem-solving abilities are necessary, particularly when working with extensive and intricate datasets. Effective communication skills are also key in this role. This position offers an exciting opportunity to leverage your expertise in data science and machine learning to develop innovative solutions that drive business success while staying at the forefront of AI/ML developments.,

As a Senior Systems Engineer specializing in Data DevOps/MLOps, you will play a crucial role in our team by leveraging your expertise in data engineering, automation for data pipelines, and operationalizing machine learning models. This position requires a collaborative professional who can design, deploy, and manage CI/CD pipelines for data integration and machine learning model deployment. You will be responsible for building and maintaining infrastructure for data processing and model training using cloud-native tools and services. Your role will involve automating processes for data validation, transformation, and workflow orchestration, ensuring seamless integration of ML models into production. You will work closely with data scientists, software engineers, and product teams to optimize performance and reliability of model serving and monitoring solutions. Managing data versioning, lineage tracking, and reproducibility for ML experiments will be part of your responsibilities. You will also identify opportunities to enhance scalability, streamline deployment processes, and improve infrastructure resilience. Implementing security measures to safeguard data integrity and ensure regulatory compliance will be crucial, along with diagnosing and resolving issues throughout the data and ML pipeline lifecycle. To qualify for this role, you should hold a Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field, along with 4+ years of experience in Data DevOps, MLOps, or similar roles. Proficiency in cloud platforms like Azure, AWS, or GCP is required, as well as competency in using Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Ansible. Expertise in containerization and orchestration technologies like Docker and Kubernetes is essential, along with a background in data processing frameworks such as Apache Spark or Databricks. Skills in Python programming, including proficiency in data manipulation and ML libraries like Pandas, TensorFlow, and PyTorch, are necessary. Familiarity with CI/CD tools such as Jenkins, GitLab CI/CD, or GitHub Actions, as well as understanding version control tools like Git and MLOps platforms such as MLflow or Kubeflow, will be valuable. Knowledge of monitoring, logging, and alerting systems (e.g., Prometheus, Grafana), strong problem-solving skills, and the ability to contribute independently and within a team are also required. Excellent communication skills and attention to documentation are essential for success in this role. Nice-to-have qualifications include knowledge of DataOps practices and tools like Airflow or dbt, an understanding of data governance concepts and platforms like Collibra, and a background in Big Data technologies like Hadoop or Hive. Qualifications in cloud platforms or data engineering would be an added advantage.,

As a Full Stack Developer, you will be responsible for developing full stack applications by writing clean and efficient code. Your role will involve automating tasks using appropriate tools and scripting, as well as reviewing and debugging code. It will be essential for you to document development phases and closely monitor systems to ensure smooth operation. To excel in this role, you should have at least 2+ years of experience working with Python, Machine Learning, and related frameworks. You should be proficient in creating RESTful APIs using Python Django and have the ability to seamlessly integrate backend APIs with frontend applications. Additionally, you should possess knowledge of developing applications based on machine learning, deep learning, Gen AI, and LLM. Your expertise should include a strong command over programming languages like Python, SQL, and Big Query. Hands-on experience with ML tools such as Numpy, SciPy, Pandas, Scikit-Learn, Tensorflow, Langchain, and Vector Base will be highly advantageous. You should also demonstrate excellent problem-solving skills and the capability to work both independently and collaboratively within a team environment. If you are passionate about developing innovative applications and have a keen interest in the field of Machine Learning, this role offers you the opportunity to showcase your skills and contribute to cutting-edge projects.,

You will be responsible for leading the development of Python-based applications in Pune with 6-8 years of experience. Your role will involve designing and implementing complex application features and backend services to ensure high performance and scalability. Collaborating with stakeholders to define system requirements and specifications will be essential, along with optimizing performance, scalability, and security of the applications. Managing data integration and handling large datasets efficiently will also be part of your responsibilities. As a lead developer, you will conduct code reviews, contribute to improving coding practices, and mentor junior developers. Developing and maintaining automated unit and integration tests will be crucial for ensuring the quality of the applications. You will also collaborate with DevOps teams for continuous integration/continuous deployment (CI/CD) and cloud deployments. To excel in this role, you should have strong experience in Python and related libraries such as Pandas, NumPy, and Celery. Extensive experience with web frameworks like Django or Flask is required, along with in-depth knowledge of RESTful API design and development. Experience with databases such as PostgreSQL, MySQL, MongoDB, or others is essential. Proficiency with cloud platforms like AWS, Azure, or Google Cloud is necessary, as well as hands-on experience with Docker, Kubernetes, and microservices architecture. Familiarity with asynchronous programming and task queues (e.g., Celery, RabbitMQ), a strong understanding of software design patterns and architecture, and the ability to lead technical discussions and make architectural decisions are also key skills required for this role. Excellent problem-solving skills and attention to detail will be essential for success in this position.,

You are a qualified Python Trainer joining our institution in Bhubaneshwar, focused on teaching B.Tech, MCA, and M.Sc-IT courses. Your primary responsibility is delivering engaging lectures on Python and related technologies such as data handling, object-oriented programming, web frameworks, and emerging Python applications in automation and data science. Your responsibilities include: - Teaching and Lecturing: Deliver comprehensive lectures on topics like Core Python, Object-Oriented Programming, Data Structures, Web Development with Django/Flask, Python for Data Analysis, and Scripting for Automation. Ensure students gain theoretical knowledge and practical programming skills. - Research and Innovation: Conduct research on Python applications, stay updated with the latest libraries and frameworks, and guide students on research projects. - Mentorship: Support students in developing Python projects, preparing for internships, and applying theoretical knowledge in practical scenarios. - Collaboration: Work with faculty and industry professionals to enhance curriculum delivery and establish partnerships for guest lectures, hackathons, and internships. - Professional Development: Stay updated with emerging Python trends like AI, ML, and data engineering through workshops, webinars, and technical events. Qualifications: - Masters degree in Information Technology, Computer Science, or related field with 6 months to 1 year of experience. - Expertise in Python and prior teaching or mentoring experience is desirable. Skills and Competencies: - Strong command over Core and Advanced Python programming. - Hands-on experience with frameworks like Django, Flask, or FastAPI. - Familiarity with tools such as Pandas, NumPy, Matplotlib, and automation libraries. - Excellent communication, presentation, and problem-solving skills. - Ability to motivate and inspire students towards coding excellence. Benefits include a competitive salary, commuter assistance, leave encashment, paid time off, and Provident Fund. You'll work in a dynamic educational environment, shaping the next generation of Python developers and contributing to real-world problem-solving through teaching. This is a full-time position requiring a day shift schedule. Proficiency in English is required, and the work location is in person at Bhubaneshwar.,

You are a highly motivated and technically strong Data Scientist / MLOps Engineer with 13 years of experience, looking to join our growing AI & ML team in Kolkata. Your role will involve designing, developing, and deploying scalable machine learning solutions with a focus on operational excellence, data engineering, and GenAI integration. Your key responsibilities will include building and maintaining scalable machine learning pipelines using Python, deploying and monitoring models using MLFlow and MLOps stacks, designing and implementing data workflows with PySpark, and leveraging standard data science libraries for model development. You will also work with GenAI technologies such as Azure OpenAI and collaborate with cross-functional teams to meet business objectives. To excel in this role, you must have expertise in Python for data science and backend development, solid experience with PostgreSQL and MSSQL databases, hands-on experience with data science packages like Scikit-Learn, Pandas, Numpy, and Matplotlib, as well as experience with Databricks, MLFlow, and Azure. A strong understanding of MLOps frameworks and deployment automation is essential, along with prior exposure to FastAPI and GenAI tools like Langchain or Azure OpenAI. Preferred qualifications include experience in the Finance, Legal, or Regulatory domain, working knowledge of clustering algorithms and forecasting techniques, and previous experience in developing reusable AI frameworks or productized ML solutions. You should hold a B.Tech in Computer Science, Data Science, Mechanical Engineering, or a related field. By joining us, you will work on cutting-edge ML and GenAI projects, be part of a collaborative and forward-thinking team, and have opportunities for rapid growth and technical leadership. This is a full-time position based in Kolkata, with benefits including leave encashment, paid sick time, paid time off, Provident Fund, and work from home options. If you meet the required qualifications and are excited about the prospect of working in a dynamic AI & ML environment, we encourage you to apply before the application deadline of 02/08/2025. The expected start date for this position is 04/08/2025.,

As a Machine Learning Engineer at Aera Technology, you will play a crucial role in designing, implementing, monitoring, and maintaining the machine learning systems that power our Aera Decision Cloud platform. Your responsibilities will involve working on new and challenging engineering problems to operationalize data science, collaborating closely with experts in Data Science, Engineering, and DevOps teams, and designing state-of-the-art Machine Learning approaches. Your main tasks will include building core machine learning infrastructure, such as distributed systems, development tools, model serving, and inference pipelines. Additionally, you will take end-to-end ownership of developing Machine Learning systems from data pipelines to training, hosting, and inference pipelines. It is essential to have strong programming skills in languages like C++, Go, Java, and Python, along with experience in working with large data sets and pipelines using frameworks like Dask and Ray. Ideally, you should possess a B.E./B.Tech M.E/M.Tech/M.S in Computer Science or Computer Engineering, along with 3-8 years of experience in software engineering and architecture. Having at least 2 years of experience in designing and deploying Machine Learning Systems and familiarity with libraries like Scikit-learn, Pandas, PyTorch, Tensorflow, and Keras will be beneficial for this role. Experience in building containerized applications using Docker and Kubernetes, Agile Methodology, GITOps, and Jira is also desired. In our dynamic environment, hosted on AWS/Azure/GCP with Kubernetes infrastructure, you will have the opportunity to contribute to the transformation of decision-making processes for enterprises worldwide. If you are passionate about creating a sustainable, intelligent, and efficient world, Aera Technology is the right place for you. Join our diverse teams across different global locations and be a part of our journey to revolutionize decision intelligence. At Aera Technology, we value our team members and offer a range of benefits to support them and their families at various life stages. In addition to a competitive salary and company stock options, we provide comprehensive medical insurance, term insurance, accidental insurance, paid time off, maternity leave, and more. We prioritize professional and personal development by offering unlimited access to online courses and people manager development programs. Our flexible working environment promotes a healthy work-life balance, and our office facilities include a fully-stocked kitchen with snacks and beverages to keep you refreshed throughout the day.,

The role of VP Data Scientist in Thane involves driving analytics opportunities in the BFSI sector, overseeing project delivery, managing teams and stakeholders. The ideal candidate should possess a robust background in advanced analytics, with a history of leading impactful analytics solutions and programs for Indian clients. Additionally, the candidate must have experience in establishing and supervising large-scale Business Intelligence units. With over 15 years of relevant experience, the right candidate should showcase expertise in various areas including data processing and data science libraries of Python such as NumPy, Pandas, Scikit learn. They should also demonstrate proficiency in handling massive datasets through tools like Apache Spark, Vaex, Dask, and leveraging them for machine learning algorithms development. Moreover, the candidate is expected to be well-versed in analytical models like promotion optimization, NLP, Cluster Analysis, Segmentation, Neural network models, Logistic Regression, ANN based model, LSTM, Transformers, and more. Familiarity with cloud-based analytics platforms like Azure, GCP, or AWS is crucial. Experience in automating model training, deployment, and monitoring using ML-Ops pipelines is preferred. Key responsibilities for this role include stakeholder management, project planning, scope definition, and project methodology explanation to stakeholders. The VP Data Scientist will lead end-to-end project deliverables, ensure adherence to SOPs, and provide training to junior team members. Managing a team of 20+ data scientists, overseeing project delivery, and addressing business challenges are essential aspects of this role. The ideal candidate should hold a degree in BE/B.Tech./MCA/M.Tech. and demonstrate deep expertise in Python, SAS. They must possess a strong track record of successful project management, stakeholder engagement, and team leadership within the BFSI sector.,

The Applications Development Technology Lead Analyst position is a senior-level role that involves implementing new or updated application systems and programs in collaboration with the Technology team. Your main responsibility will be to lead applications systems analysis and programming activities. You will work closely with various management teams to ensure the integration of functions to achieve goals and to identify and define necessary system enhancements for deploying new products and process improvements. You will tackle high-impact problems/projects by evaluating complex business processes, system processes, and industry standards. Your expertise in applications programming will be crucial in ensuring that application design aligns with the overall architecture blueprint. As a Technology Lead Analyst, you will need to have a deep understanding of system flow and develop coding, testing, debugging, and implementation standards. Additionally, you will need to develop a comprehensive knowledge of how different areas of business integrate to achieve business objectives. Your role will also involve providing in-depth analysis to define issues and develop innovative solutions. You will be expected to serve as an advisor or coach to mid-level developers and analysts, assigning work as needed. It is essential that you appropriately assess risk when making business decisions, with a focus on safeguarding Citigroup and its assets by ensuring compliance with laws, rules, and regulations. To qualify for this role, you should have 9-15 years of relevant experience in Apps Development or systems analysis. Additionally, you should be a highly skilled senior core python developer with extensive experience in software building and platform engineering. Proficiency in core python concepts and libraries such as pandas, numpy, and scipy is required, along with a solid understanding of OOPs concepts and design patterns. Strong computer science fundamentals and experience with Unix-based operating systems are also necessary. Having hands-on experience in writing SQL queries, familiarity with source code management tools, and experience in the banking domain are considered advantageous. A CFA/FRM certification is also a plus. Your educational background should include a Bachelor's degree or equivalent experience, with a preference for a Master's degree. In summary, this role requires a Python developer with significant experience in developing python applications for Risk and Finance analytical purposes. Your expertise in core python, python libraries, and databases, along with your analytical and logical skills, will be instrumental in delivering high-performance applications that involve data computation, analysis, and processing. Please note that this job description provides a general overview of the responsibilities and qualifications. Other duties may be assigned as necessary.,

At Oracle Cloud Infrastructure (OCI), the future of cloud computing for Enterprises is being shaped by a diverse team of creators and innovators. Acting with the speed and mentality of a start-up, we maintain the scale and customer-focus of the world's leading enterprise software company. Our values form the bedrock of OCI, guiding us towards achieving excellence. We are dedicated to equity, inclusion, and respect for all individuals. Committed to the greater good in both our products and actions, we prioritize continuous learning and personal growth opportunities. Within our team, we challenge each other to transcend past achievements and collectively build a better future. As part of the AI Data organization, you will engage with fascinating challenges at the convergence of artificial intelligence and cutting-edge cloud infrastructure. Our focus involves developing cloud services utilizing Large Language Models (LLMs) and other generative models to create synthetic data for various applications including text, speech, vision, and multi-modal scenarios. Additionally, we are establishing ML benchmarking standards and frameworks to ensure the highest quality across verticals such as Healthcare and Fusion. You will operate at the IC2/IC3 career level with the following responsibilities: - Design and construct world-class Generative AI Models in text, vision, and multimodal settings for generating synthetic data. - Research and implement cutting-edge techniques such as Fine-tuning and RLHF to align Generative models with specific problem domains. - Develop tools for data acquisition, cleaning, augmentation, model training, and visualization. - Evaluate and implement ML/Deep learning/GenAI models from research papers and other public resources. - Optimize models for production usage and assist in productizing generation scenarios. - Create production code for feature processing, model prediction, serving, and monitoring in real-time and batch scenarios. - Engage in the entire software lifecycle including development, testing, CI, and production operations. - Strike a balance between product feature development and production operational considerations. Minimum Qualifications for this role include: - Ph.D. degree or Masters degree or equivalent experience in computer science, artificial intelligence, machine learning, operations research, or related technical field. - 5+ years with Masters or 3+ years with PhD of applying machine learning to solve real-world problems in industry. - Proficiency in Python or R. - Proficiency with at least one deep learning library (Pytorch, Tensorflow, or Keras) for building and deploying DNN models in production. - Expertise in NLP, Transformers, Large Language Models, and hugging face library. Optimization of LLM training and serving. - Experience in statistical models, Machine Learning solutions, and large scale Deep learning model development and serving across different data domains. - Proficiency in traditional ML libraries like scikit-learn, statsmodels, and pandas. - Track record of delivering large-scale ML solutions for complex business challenges. - Experience in production operations and ensuring quality code deployment with the ability to troubleshoot issues effectively. - Strong communication skills for articulating technical ideas through verbal and written means. At Oracle, we are committed to fostering an inclusive workforce that values diverse perspectives and backgrounds. Our dedication to innovation is fueled by hearing every voice, inspiring us to surpass previous achievements. Operating with integrity for over 40 years, we collaborate with industry leaders across various sectors. We prioritize work-life balance through a competitive suite of employee benefits designed on the principles of fairness and consistency. Our comprehensive benefits package includes flexible medical, life insurance, and retirement options. Employees are encouraged to contribute to their communities through volunteer programs. We are devoted to integrating individuals with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation due to a disability, please contact us at +1 888 404 2494, option one. Disclaimer: Oracle is an Equal Opportunity Employer in the United States.,

As a Data Engineer at our company, your primary responsibility will be the development and maintenance of scalable and efficient data pipelines and ETL processes using Python and related technologies. You will play a crucial role in optimizing the performance of these pipelines and queries to handle large volumes of data and improve processing times. Collaboration is key in this role, as you will closely work with our team of data scientists and engineers at Matrix Space. To excel in this position, you should have 2-5 years of experience in data engineering or a related field with a strong focus on Python. Proficiency in Python programming is a must, including knowledge of libraries such as Pandas, NumPy, and SQL Alchemy. Additionally, hands-on experience with data engineering tools and frameworks like Apache Airflow, Luigi, or similar is highly desirable. A solid grasp of SQL and experience with relational databases such as PostgreSQL and MySQL will be beneficial. In addition to technical skills, we value certain soft skills in our team members. Problem-solving abilities, the capacity to work both independently and collaboratively, and effective communication skills are essential. You should be able to articulate technical concepts to non-technical stakeholders and demonstrate a proven track record of completing tasks efficiently. If you are an immediate joiner and can commence within a week, we encourage you to apply for this position. Join our team and be part of an exciting journey in data engineering where your skills and expertise will be valued and put to good use.,

Are you passionate about web scraping and ready to take on exciting data-driven projects Actowiz Solutions is urgently hiring a skilled Senior Python Developer to join our dynamic team in Ahmedabad! We are looking for someone with a strong hands-on experience with the Scrapy framework and a deep understanding of XPath/CSS selectors, middleware & pipelines. Experience in handling CAPTCHAs, IP blocks, and JS-rendered content is essential. Additionally, familiarity with proxy rotation, user-agent switching, and headless browsers is a plus. Proficiency in data formats such as JSON, CSV, and databases is required. Hands-on experience with Scrapy Splash / Selenium, along with good knowledge of Pandas, Docker, AWS, and Celery will be beneficial for this role. If you are an immediate joiner with at least 2+ years of experience in Python development and meet the above requirements, we encourage you to apply! This position is based in Ahmedabad and requires working from the office. To apply, please send your resume to hr@actowizsolutions.com / aanchalg.actowiz@gmail.com or contact HR at 8200674053 / 8401366964. Alternatively, you can also DM directly. If you are ready to join a fast-paced team and work on global data projects, we would love to hear from you! Feel free to like, share, or tag someone who might be a fit for this position. #PythonJobs #WebScraping #Scrapy #ImmediateJoiner #AhmedabadJobs #PythonDeveloper #DataJobs #ActowizSolutions,

You should have proficiency in Python with skills in file handling, RestfulAPIs, List, Tuple, etc. Additionally, experience in ML/Data Science using NumPy, Pandas, EDA, TensorFlow, Keras, Matplotlib, etc. is required. Familiarity with Large Language Models (LLMs) is also preferred. Good communication skills are a must for this role. The minimum duration for this position is 6 months. The stipend offered is based on the candidate's experience (DOE) ranging from 5K to 25K. This is a remote job opportunity and the selected candidates will be working from home. Please note that this opportunity is for deserving candidates only.,

You should have at least 2 years of experience in Python development and a solid understanding of AI/ML concepts with hands-on experience in frameworks like TensorFlow, PyTorch, or Scikit-learn. Additionally, you should be experienced in working with RESTful APIs, web frameworks such as Flask or Django, and data manipulation libraries like Pandas and NumPy. Proficiency in version control using Git is required, along with good problem-solving and communication skills. Your responsibilities will include developing, testing, and maintaining Python-based applications and APIs, integrating AI/ML models into production-grade systems, collaborating with data scientists, engineers, and product teams to build scalable solutions, designing and implementing data pipelines and automation tools, optimizing code for performance and scalability, and staying updated on industry trends and best practices in Python development and AI. Preferred qualifications for this position include experience deploying machine learning models in production, knowledge of cloud platforms such as AWS, GCP, or Azure, familiarity with containerization tools like Docker or Kubernetes, and a background in computer science, mathematics, or a related field. Sunfocus Solutions Private Limited, based in India, is a business solutions IT company with a team of over 100 technology experts providing world-class IT solutions to clients. Sunfocus Solutions is a Top Rated PLUS Agency on Upwork and delivers full mobile and web solutions for startups, small businesses, and large enterprises globally. The benefits offered by Sunfocus include cell phone reimbursement, commuter assistance, health insurance, internet reimbursement, leave encashment, life insurance, and work-from-home options. The education requirement for this position is a Bachelor's degree, and the job type is full-time and permanent. In addition to a competitive salary, the company provides benefits such as cell phone reimbursement, commuter assistance, health insurance, internet reimbursement, leave encashment, life insurance, and work-from-home options. The work schedule includes day and morning shifts, and bonuses like joining bonus, performance bonus, and yearly bonus are also offered. The ideal candidate for this position should be able to commute or relocate to Mohali, Punjab. Previous experience of 2 years in Python with AI knowledge is preferred for this role. The work location is in person at 1st floor, Plot No: C-127, Phase-8, Industrial Area, Sahibzada Ajit Singh Nagar, Punjab 160072.,

As an Enterprise AI Platform Solution Architect, your primary responsibility will be to ideate and formulate a pragmatic blueprint using Deep learning for the development of AI solutions. You will work closely with a cross-functional team of talented engineers to design and create advanced and efficient AI-based solutions for business problems. Collaboration with engineers, researchers, and data specialists will be crucial in implementing best practices in coding and maintaining code repositories. You will be required to maintain the quality and responsiveness of AI platforms, ensuring that they meet the requirements derived from client meetings and workshops. Additionally, you will contribute to writing comprehensive proposals and work within an agile environment to deliver assigned tasks within specified timelines. Adhering to software development best practices and coding standards will be essential to improve quality and productivity. In this role, you will guide, coach, and lead a team of engineers specializing in AI, full-stack development, QA automation, and DevOps. Your expertise should include a strong educational background in Computer Science or a related field, along with 8-12 years of experience in live industry projects at an enterprise level. Domain expertise in areas such as NLP, Computer Vision, or Cyber Security (Data Science) will be beneficial. Proficiency in Python Programming, TensorFlow, Sci-kit learn, Keras, and other relevant libraries for AI & Machine Learning is required. You should have a strong ability to manipulate data using Pandas, Numpy, and other Python libraries, supporting data munging and cleansing activities. Experience in Agile methodology, CI-CD patterns, and working with Microservices, APIs, and Docker containers is essential. Your skills should also include hands-on experience with relational databases, writing SQL queries, and understanding enterprise application architecture. Proficiency in tools and technologies such as Python, TensorFlow, PyTorch, Django/Flask, MySQL, Git, Bitbucket, Jira, Confluence, and cloud platforms like Google Cloud, AWS, and Azure will be valuable for this role.,

Offshore Software Solutions is looking for a Data Scientist with 3-5 years of experience in analyzing health data from devices like smartwatches and fitness trackers. The role involves developing custom machine learning models using TensorFlow to derive actionable insights for improving health monitoring and user well-being. Your responsibilities will include analyzing health data from wearables, developing and deploying machine learning models, collaborating with cross-functional teams, preprocessing data, ensuring privacy standards compliance, optimizing models for accuracy, and presenting findings to stakeholders. Additionally, you will stay updated on the latest machine learning research related to health data from wearable devices. Requirements for this role include a Bachelor's or Masters degree in Data Science or related field, 3+ years of data analysis experience, expertise in TensorFlow, knowledge of deep learning and neural networks, proficiency in Python and data science libraries, familiarity with health data metrics, experience with data visualization tools and databases, and strong problem-solving skills. Preferred qualifications include working with wearable device APIs, understanding time-series analysis and anomaly detection, experience in edge computing, and good communication skills for effective collaboration. If you are passionate about leveraging data science to improve health monitoring and user well-being, and possess the required skills and qualifications, we encourage you to apply for this exciting opportunity at Offshore Software Solutions in Mohali, Punjab.,

As a Python developer at Aon, you will be part of the Aon Life Solutions team within the Aon Reinsurance Strategy and Technology Group in India. You will work on the PathWise high-performance software platform, providing innovative solutions for financial intermediaries, especially insurance companies. Collaborating with various teams, you will support the development of models and processes for companies transitioning to PathWise, contributing to the Aon Life product vision and go-to-market strategy. Your role as a Senior Analyst will involve developing complex actuarial and financial products powered by high-performance computing on Graphical Processing Units (GPU) in an Agile environment. You will offer technical guidance to the software development team, analyze technology trends, products, and competitors, and provide recommendations for product improvements. The ideal candidate for this position is a motivated individual with a Bachelor's degree in a technical field like Electrical/Computer Engineering or Computer Science. You should have at least 3 years of experience as a Software Engineer in the actuarial and/or financial industries, with expertise in Python (NumPy, Pandas), Agile methodologies, and SDLC. Familiarity with Azure Devops, Atlassian tools, C, C++, C#, parallel computing, Cuda, software version control systems, Linux, and actuarial/financial products like QuantLib will be advantageous. At Aon, we prioritize an inclusive workforce and offer flexible working solutions to support your wellbeing and work/life balance. Our continuous learning culture empowers you to grow and reach your fullest potential. If you are passionate about contributing to a global financial product and being part of a dynamic team, this opportunity at Aon may be the perfect fit for you.,

About This Role Associate Python Developer (Finance Platform Strategies) We are seeking a technologically adept Data Specialist with a robust Python background and financial acumen to join the Automation & AI team within Finance Platform Strategies (FPS) Our team champions the transformative integration of automation, including Robotic Process Automation (RPA), to streamline and accelerate financial processes, ensuring peak efficiency and workflow optimization, The Finance Platform Strategies (FPS) group, within BlackRocks global Finance & Strategy organization, is responsible for long-term management of Finance platform and technology initiatives, spanning controllers, financial planning, expense management, treasury, tax, and a range of other proprietary and third-party platform capabilities The group drives the strategic vision for and implementation of initiatives to enhance our platform capabilities and delivers day-to-day oversight and management of the platform, with a global footprint, Collaboration is key Youll work closely with partners across the Finance organization, BlackRocks Aladdin Engineering team, Technology & Development Operations (TDO) organization to achieve our goals Join us in shaping the future of finance through innovation and excellence, Core Responsibilities Developing and orchestrating technical solutions with a primary focus on Python frameworks, while also leveraging other technologies such as ETL tools and scripting languages to support the automation of financial processes and workflows, data transformations, and system integrations, Driving projects to completion by understanding requirements and utilizing a wide range of financial applications and automation tools, Ensuring the quality, performance, and reliability of software applications through rigorous testing, debugging, and code reviews, Partnering with functions across the global Finance organization to understand and solution business use cases for automation, Setting up and maintaining servers to support the Python infrastructure, Staying current with the latest developments in Python technologies, as well as industry trends in finance automation, Documenting development work requirements, including technical specifications, user stories, and acceptance criteria, to ensure clear communication and alignment with stakeholders, Mentoring and guiding junior developers to help them grow their skills and knowledge, Working closely with the Aladdin Engineering team and TDO to align technology solutions with business needs, Contributing as a Finance Technology Subject Matter Expert (SME), developing solutions around the inventory of technical tools available within BlackRock, Required Skills And Experience Advanced proficiency in Python technologies, including a deep understanding of frameworks such as Pandas, NumPy and PySpark, to architect and implement robust data transformation solutions, Extensive experience with data modeling, both relational and non-relational, and schema design ( e-g , SQL Server, star and snowflake), Proven expertise in API integration, including RESTful and GraphQL, for data enrichment and processing, Proficiency in data cleaning, normalization, and validation for maintaining high data quality, Strong experience in data science and machine learning, with proficiency in libraries such as Scikit-learn, TensorFlow, or PyTorch, Exposure to Azure Cognitive Services, offering a competitive edge in leveraging AI and machine learning capabilities, Practical experience with cloud platforms, particularly Microsoft Azure, and a solid grasp of cloud services and infrastructure, Proficient in DevOps practices, with experience using tools like Azure DevOps for continuous integration and delivery, Comfortable working in a Linux environment, demonstrating versatility across operating systems, Knowledge of cloud deployment technologies, such as Docker, to facilitate efficient deployment and scaling of applications, Familiarity with real-time data streaming platforms such as Apache Kafka, Understanding of containerization and orchestration technologies like Docker and Kubernetes, Strong command of data governance and security practices, Experience building intuitive and responsive user interfaces using modern frontend technologies such as Streamlit, Dash, Panel, Flask etc Good To Have Experience working with Azure Document Intelligence (ADI) for data processing, Experience with GPT APIs, such as Chat Completion, Familiarity with other programming languages such as C# or Java, adding a valuable dimension to the candidates technical toolkit, Validated experience in software development and the ability to autonomously understand an existing codebase, Curiosity about the functional aspects of the product, with a base knowledge of the finance industry being highly appreciated, Strong analytical and problem-solving skills, with a proactive approach and the ability to balance multiple projects simultaneously, Proficient in English, both written and spoken, Exposure with data visualization tools like Matplotlib, Power BI, or Tableau, Qualifications For candidates in India: B E , b-tech , MCA, or any other relevant engineering degree from a reputed university, A minimum of 5 years of proven experience in the field, Our Benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about, Our hybrid work model BlackRocks hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week Some business groups may require more time in the office due to their roles and responsibilities We remain focused on increasing the impactful moments that arise when we work together in person aligned with our commitment to performance and innovation As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock, About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being Our clients, and the people they serve, are saving for retirement, paying for their childrens educations, buying homes and starting businesses Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress, This mission would not be possible without our smartest investment the one we make in our employees Its why were dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive, For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: linkedin /company/blackrock BlackRock is proud to be an Equal Opportunity Employer We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law, Show

Required Skills: Proficiency in Python (3-5 years of hands-on experience) with expertise in developing automation scripts and frameworks. Experience with Python libraries such as requests, Selenium, PyAutoGUI, Pandas, or similar tools for automation and data handling. Knowledge of API integration, including working with RESTful services and automating API testing. Familiarity with version control systems such as Git. Experience working with automated testing frameworks like PyTest, unittest, or similar. Working knowledge of operating systems such as Windows and Linux. Experience in scripting for automation of manual tasks, testing, or deployment activities. Strong troubleshooting, analysis, and problem-solving skills. Preferred Skills: Familiarity with CI/CD tools such as Jenkins, GitLab CI, CircleCI, etc. Experience with automation in cloud environments (AWS, Azure, GCP). Knowledge of containerization technologies like Docker. Overall Responsibilities Design, develop, and maintain automation scripts and frameworks to streamline testing, deployment, and operational workflows. Identify automation opportunities across teams and develop scalable, reliable solutions. Collaborate with QA, DevOps, and IT teams to automate manual tasks and system workflows. Develop and execute automated tests to improve product quality assurance processes. Monitor, troubleshoot, and optimize automation scripts for performance, security, and reliability. Document automation processes, scripts, and workflows thoroughly. Stay current with emerging automation tools, libraries, and best practices in Python. Strategic objectives: Accelerate delivery cycles by reducing manual intervention through robust automation. Improve software quality and reliability via continuous automation and testing. Support operational excellence through scalable, maintainable automation solutions. Performance outcomes: Automation scripts with high reliability, maintainability, and efficiency. Increased test coverage and faster test execution times. Reduction in manual testing efforts and operational errors. Technical Skills (By Category) Programming Languages: Essential: Python (strong expertise in scripting and automation). Preferred: Additional scripting languages such as Bash or PowerShell. Frameworks & Libraries: Essential: Requests, Selenium, PyAutoGUI, Pandas, and automated testing frameworks like PyTest or unittest. Preferred: Familiarity with additional frameworks like Robot Framework or Appium. APIs & Data Management: Extensive experience working with REST APIs, including automation of API testing and validation. Tools & Platforms: Version control systems (Git). CI/CD tools such as Jenkins, GitLab CI, CircleCI. Cloud environments like AWS, Azure, or GCP for automation deployment and scaling. Development Methodologies: Agile/Scrum, with experience integrating automation into sprint cycles. Process automation and scripting best practices. Security & Compliance: Basic understanding of security considerations in automation scripts and data handling. Experience Requirements 3-5 years of relevant experience in Python-based automation testing and scripting. Proven experience automating testing for enterprise applications or complex systems. Ability to integrate automation solutions across multiple systems and teams. Industry experience in financial, healthcare, retail, or technology domains is a plus. Day-to-Day Activities Develop and maintain automation scripts and frameworks supporting testing, deployment, and operational workflows. Collaborate with QA, DevOps, and IT teams to identify automation solutions for manual tasks. Execute automated test suites across different environments, analyze results, and report defects. Troubleshoot and optimize automation scripts to improve speed, reliability, and security. Maintain comprehensive documentation for scripts, workflows, and processes. Participate in scrum ceremonies, planning, and retrospectives, ensuring continuous improvement in automation maturity. Stay updated on new automation tools, libraries, and best practices. Qualifications Bachelors degree in Computer Science, Information Technology, or related field. Certification or training in Python automation, testing, or related areas is preferred. Proven ability to quickly learn new tools and adapt automation practices accordingly. Professional Competencies Strong analytical and problem-solving skills. Excellent communication skills to articulate technical details clearly. Proven ability to work collaboratively in cross-functional teams. Adaptability to new tools, techniques, and evolving project needs. High attention to detail to ensure high-quality automation solutions. Time management skills to prioritize tasks effectively.

Seeking an experienced Python Developer with expertise in SQL, Python, PostgreSQL, Pandas, NumPy, Django, and AWS (Lambda, S3, RDS). Must excel at number crunching, data processing, database handling. Experience with scalable cloud apps is a must.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Process mapping and identifying non value add steps friction points in the process Discover, monitor and improve processes by extracting and analysing knowledge from the event logs in Process Mining/Celonis tool. Work alongside both technical and non-technical stakeholders to understand business challenges to help design process mining initiatives and prioritize the requests. Act as customers key contact and guide them through revealing process trends, inefficiencies & bottlenecks in the business process. Support validation of data (counts, values between source systems and Celonis). Work on process insights by creating KPIs and actions, identify process inefficiencies, and understand the root causes. Develop workflows to monitor processes, detect anomalies and turn those insights into real-time automated preventive or corrective actions using Action-engine, Action-flows and other capabilities. Technical and Functional Skills: Bachelors degree in Computer Science with 3+ years of work experience in Data Analytics, data mining & Data Transformation. Very proficient in Celonis, should be able to build, manage, and extract value from Celonis models for various use casesAdding or modifying data sources, Creating automated alerts, Action engine, Transformation center, Celonis ML workbench. Experience in SQL PQL scripting & knowledge of data mining, should apply complex queries to build the transformation e.g. joins, union, windows functions etc. Knowledge of process improvement techniques tools and Process Mining Analytics. Basic knowledge of Python Scripting, should be knowing about (Numpy, Pandas, Seaborn, Matplotlib, SKLearn etc) Experience in BI tools (e.g., Tableau, Power BI etc.) Nice to have Strong communicationand presentation skills. Understanding of business processes.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Process mapping and identifying non value add steps friction points in the process Discover, monitor and improve processes by extracting and analysing knowledge from the event logs in Process Mining/Celonis tool. Work alongside both technical and non-technical stakeholders to understand business challenges to help design process mining initiatives and prioritize the requests. Act as customers key contact and guide them through revealing process trends, inefficiencies & bottlenecks in the business process. Support validation of data (counts, values between source systems and Celonis). Work on process insights by creating KPIs and actions, identify process inefficiencies, and understand the root causes. Develop workflows to monitor processes, detect anomalies and turn those insights into real-time automated preventive or corrective actions using Action-engine, Action-flows and other capabilities. Technical and Functional Skills: Bachelors degree in Computer Science with 3+ years of work experience in Data Analytics, data mining & Data Transformation. Very proficient in Celonis, should be able to build, manage, and extract value from Celonis models for various use casesAdding or modifying data sources, Creating automated alerts, Action engine, Transformation center, Celonis ML workbench. Experience in SQL PQL scripting & knowledge of data mining, should apply complex queries to build the transformation e.g. joins, union, windows functions etc. Knowledge of process improvement techniques tools and Process Mining Analytics. Basic knowledge of Python Scripting, should be knowing about (Numpy, Pandas, Seaborn, Matplotlib, SKLearn etc) Experience in BI tools (e.g., Tableau, Power BI etc.) Nice to have Strong communicationand presentation skills. Understanding of business processes.