1565 Pandas Jobs - Page 10

Salary : 20 to 35 LPA Exp: 3 to 8 years Location :/Gurugram/Bangalore/Hyderabad Notice: Immediate to 30 days..!! Roles & responsibilities: 3+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

Objectives Of This Role Design and implement efficient, scalable backend services using Python. Work closely with healthcare domain experts to create innovative and accurate diagnostics solutions. Build APIs, services, and scripts to support data processing pipelines and front-end applications. Automate recurring tasks and ensure robust integration with cloud services. Maintain high standards of software quality and performance using clean coding principles and testing practices. Collaborate within the team to upskill and unblock each other for faster and better outcomes. Primary Skills Python Development Proficient in Python 3 and its ecosystem Frameworks: Flask / Django / FastAPI RESTful API development Understanding of OOPs and SOLID design principles Asynchronous programming (asyncio, aiohttp) Experience with task queues (Celery, RQ) Rust programming experience for systems-level or performance-critical components Testing & Automation Unit Testing: PyTest / unittest Automation tools: Ansible / Terraform (good to have) CI/CD pipelines DevOps & Cloud Docker, Kubernetes (basic knowledge expected) Cloud platforms: AWS / Azure / GCP GIT and GitOps workflows Familiarity with containerized deployment & serverless architecture Bonus Skills Data handling libraries: Pandas / NumPy Experience with scripting: Bash / PowerShell Functional programming concepts Familiarity with front-end integration (REST API usage, JSON handling) Other Skills Innovation and thought leadership Interest in learning new tools, languages, workflows Strong communication and collaboration skills Basic understanding of UI/UX principles Skills:- Rust, Python, Artificial Intelligence (AI), Machine Learning (ML), Data Science, Data Analytics and pandas

About The Role As a Senior Backend Engineer you will develop reliable, secure, and performant APIs that apply Kenshos AI capabilities to specific customer workflows. You will collaborate with colleagues from Product, Machine Learning, Infrastructure, and Design, as well as with other engineers within Applications. You have a demonstrated capacity for depth, and are comfortable working with a broad range of technologies. Your verbal and written communication is proactive, efficient, and inclusive of your geographically-distributed colleagues. You are a thoughtful, deliberate technologist and share your knowledge generously. Equivalent to Grade 11 Role (Internal) You will: Design, develop, test, document, deploy, maintain, and improve software Manage individual project priorities, deadlines, and deliverables Work with key stakeholders to develop system architectures, API specifications, implementation requirements, and complexity estimates Test assumptions through instrumentation and prototyping Promote ongoing technical development through code reviews, knowledge sharing, and mentorship Optimize Application Scaling: Efficiently scale ML applications to maximize compute resource utilization and meet high customer demand. Address Technical Debt: Proactively identify and propose solutions to reduce technical debt within the tech stack. Enhance User Experiences: Collaborate with Product and Design teams to develop ML-based solutions that enhance user experiences and align with business goals. Ensure API security and data privacy by implementing best practices and compliance measures. Monitor and analyze API performance and reliability, making data-driven decisions to improve system health. Contribute to architectural discussions and decisions, ensuring scalability, maintainability, and performance of the backend systems. Qualifications At least 5+ years of direct experience developing customer-facing APIs within a team Thoughtful and efficient communication skills (both verbal and written) Experience developing RESTful APIs using a variety of tools Experience turning abstract business requirements into concrete technical plans Experience working across many stages of the software development lifecycle Sound reasoning about the behavior and performance of loosely-coupled systems Proficiency with algorithms (including time and space complexity analysis), data structures, and software architecture At least one domain of demonstrable technical depth Familiarity with CI/CD practices and tools to streamline deployment processes. Experience with containerization technologies for application deployment and orchestration. Technologies We Love Python, Django, FastAPI mypy, OpenAPI RabbitMQ, Celery, Distributed messaging system OpenSearch, PostgreSQL, Redis Git, Jsonnet, Jenkins, Containerization technology , Container orchestration platform Airflow, AWS, Terraform Grafana, Prometheus ML Libraries: PyTorch, Scikit-learn, Pandas

As a Python Intern at ADI Group based in Mohali, you will have the unique opportunity to be a part of a multidisciplinary company with a global presence across four continents. Founded in 1999 and known for its innovative services, ADI Group offers end-to-end solutions in animation, IT development, medical writing, data services, and clinical research support to various industries like real estate, healthcare, education, and biotech. In this role, you will work closely with our development team to gain hands-on experience in software development, data processing, and scripting within a professional environment. Your responsibilities will include assisting in the development, testing, and maintenance of Python applications, collaborating on automation scripts, data processing tasks, and backend development, as well as debugging and troubleshooting issues in existing codebases. To qualify for this position, you should be currently pursuing or have recently completed a degree in Computer Science, Information Technology, Engineering, Data Science, Statistics, or a related technical field. Basic knowledge of Python and its libraries, familiarity with object-oriented programming concepts, and an understanding of version control systems, particularly Git, are essential. Problem-solving skills, a strong willingness to learn, good communication skills, and the ability to work effectively in a team are also required. While exposure to APIs, web development, or database systems and knowledge of the software development life cycle are preferred, they are not mandatory. Experience with cloud platforms like AWS, GCP, or Azure is considered a plus. As a Python Intern at ADI Group, you can look forward to mentorship from experienced developers, the opportunity to work on real-world projects, flexible working hours, a certificate of completion, and potential full-time opportunities based on your performance. This is a full-time unpaid internship for a duration of 6 months with a day shift schedule and the work location is in person. Join us at ADI Group to embark on a rewarding journey of learning and growth in the field of software development and data processing.,

As a Python Django & JavaScript Developer with 3-4 years of experience, you will be an integral part of the digital team at our company based in Gurgaon. The company has undergone a tech transformation, resulting in the establishment of a separate digital unit that operates in an agile manner to meet the evolving business requirements. Your primary responsibility will involve working on the telesales routing engine, which is integrated with our website and other lead sources. You will collaborate with a small team of 3 developers in a fast-paced environment, engaging regularly with business teams. The team plays a crucial role in driving the growth of our telesales channel through continuous improvements and new developments on the routing engine, based on inputs from analytics and the business team. Additionally, real-time analytics and profiling tools are deployed to enhance lead conversion. Key Requirements: - Hands-on experience of 3-4 years in core Python and Django framework with a good understanding of Javascript. - Proficiency in frameworks, new solutions development, system design, enhancement, and modernization using Python, Django, Postgres, or MySQL. - Fundamental knowledge of front-end technologies such as JS, CSS3, and HTML5. - Desirable familiarity with Angular, React JS, Web frameworks, and RESTful APIs. - Proven project management skills, delivering to project timetables, and providing technical solutions. - Ability to manage multiple tasks within the same assignment effectively and prioritize tasks. - Strong architecture knowledge to build systems supporting business goals, understanding various architectural styles. - Effective interpersonal skills to collaborate within teams, external teams (Marketing, Sales, Product), management, and partners. - Experience with code packaging, release, deployment, and versioning tools like Git, SVN. - Knowledge of enterprise platforms and tools like Apache/NGINX. Roles and Responsibilities: - Writing efficient, reusable, testable, and scalable code. - Analyzing and implementing business needs, feature modification requests, and converting them into software components. - Developing backend components to enhance performance and receptiveness, server-side logic, platform, statistical learning models, and highly responsive web applications. - Designing and implementing high availability and low latency applications, data protection, and security features. - Enhancing the functionalities of current software systems. - Working with Python libraries like Pandas, NumPy, etc. - Mentoring other team members. Required Skills and Experience: - Industry: IT/Computers-Software - Role: Software Engineer - Key Skills: Python, Django, JavaScript, MySQL, React, Angular, CSS, HTML - Education: B.Sc/B.Com/M.Sc/MCA/B.E/B.Tech - Email ID: Resume.Augusta@augustainfotech.com If you meet the above requirements and are interested in being part of a dynamic team driving technological advancements, we encourage you to apply with your resume and other details to Info@augustainfotech.com. Immediate joiners are preferred.,

As a Python Developer specialized in Data Science & Django at I Vision Infotech, you will play a crucial role in developing back-end web applications with a focus on writing clean and efficient Python code. Your responsibilities will include collaborating with cross-functional teams to integrate user-facing elements with server-side logic, designing, developing, and maintaining software applications and databases, and ensuring high performance and responsiveness. You will be expected to work on developing web applications using Django, handling data collection, processing, and visualization using libraries such as Pandas, NumPy, and Matplotlib, building REST APIs using Django REST Framework, and collaborating with the team for real-world project deployments. Additionally, your role will involve working closely with data science teams to implement and optimize data-driven solutions through object-oriented programming and software development. To excel in this role, you should possess a strong knowledge of Python programming, a basic understanding of data science libraries (Pandas, NumPy, Matplotlib, Scikit-learn), hands-on experience with Django or Django REST Framework, and familiarity with HTML, CSS, and JavaScript at a basic level. Knowledge of Git is considered a plus. The ideal candidate will hold a degree in B.E/B.tech/BCA/MCA/BSc/MSc (CS/IT) or equivalent. Joining I Vision Infotech will offer you real-time project exposure, an internship/training certificate, and flexible working hours, providing you with a conducive environment to enhance your skills and grow in your career. If you are passionate about Python and eager to work on cutting-edge projects in the field of Data Science and Django, we look forward to having you on board.,

At Skillsoft, we propel organizations and individuals towards growth through transformative learning experiences. We firmly believe that every team member possesses the potential to achieve greatness. Join us in our mission to revolutionize learning and assist individuals in unlocking their full potential. As a Sr. Analyst Instructional Designer (Tech Content Strategist) specializing in Data, you will play a pivotal role in developing engaging and effective learning experiences within the Data domain. Your responsibilities will involve leading the entire content development process, from planning and scripting to reviewing and enhancing content for Data. You will need to leverage your instructional design expertise to create learner-centered content that caters to various learner personas and real-life scenarios. Collaboration with visual designers, editors, and technical experts will be essential to ensure that the content is presented in a compelling and accessible format. Your primary responsibilities will include owning the content development lifecycle for Data, designing creative and impactful learning experiences based on instructional design principles, scripting engaging digital content, collaborating with cross-functional teams, aligning content with industry certification frameworks, identifying learning gaps, and utilizing Generative AI tools to enhance content creation. To excel in this role, you should have a minimum of 5+ years of practical experience in data analytics or related fields, proficiency in instructional design, excellent scripting and communication skills, creativity, storytelling ability, programming knowledge (Python and SQL), familiarity with data libraries, and experience with data visualization tools. Additionally, relevant certifications in Data and familiarity with Generative AI tools and instructional design models will be advantageous. Skillsoft is a leading provider of online learning, training, and talent solutions aimed at helping organizations maximize the potential of their workforce. By offering immersive and engaging content, Skillsoft empowers organizations to develop the skills necessary for success in today's competitive landscape. As a partner to numerous global organizations, Skillsoft offers award-winning systems and platforms to support learning, performance, and overall success. If you are intrigued by this opportunity, we encourage you to apply and be a part of our journey towards transforming learning and empowering individuals to succeed. NOTE TO EMPLOYMENT AGENCIES: Skillsoft values the partnerships with our preferred vendors and does not accept unsolicited resumes. Kindly ensure a signed Skillsoft Employment Agency Agreement is on file before submitting any resumes.,

You are looking for a skilled and analytical Data Analyst with expertise in data modeling, data analysis, and Python programming. As a Data Analyst, you will be responsible for designing data models, conducting in-depth analysis, and creating automated solutions to facilitate business decision-making and reporting. Your key responsibilities will include designing and implementing conceptual, logical, and physical data models to support analytics and reporting. You will analyze large datasets to uncover trends, patterns, and insights that drive business decisions. Additionally, you will develop and maintain Python scripts for data extraction, transformation, and analysis. Collaboration with data engineers, business analysts, and stakeholders to comprehend data requirements is essential. Creating dashboards, reports, and visualizations to effectively communicate findings will be part of your role. Ensuring data quality, consistency, and integrity across systems, as well as documenting data definitions, models, and analysis processes, will also be key responsibilities. The ideal candidate for this position should have strong experience in data modeling, including ER diagrams, normalization, and dimensional modeling. Proficiency in Python for data analysis using Pandas, NumPy, Matplotlib, etc., is required. A solid understanding of SQL and relational databases is necessary, along with experience in data visualization tools such as Power BI, Tableau, or matplotlib/seaborn. You should be able to translate business requirements into technical solutions and possess excellent analytical, problem-solving, and communication skills. Virtusa values teamwork, quality of life, professional and personal development. Joining Virtusa means becoming part of a global team of 27,000 individuals who are dedicated to your growth. You will have the opportunity to work on exciting projects and leverage state-of-the-art technologies throughout your career with us. At Virtusa, collaboration and a team-oriented environment are paramount, providing great minds with a dynamic space to cultivate new ideas and promote excellence.,

Dear Candidate, Hope you are doing well! CMS Computers Limited (INDIA) is currently looking to fill the position in data Analytics / BI in Mumbai (Bhandup) with a work from office (WFO) setup. The ideal candidate should have 2-3 years of experience in areas such as Investment, real estate, taxation, finance, and accounts. Please note that immediate to 15 days" notice period will be considered. In another opportunity, CMS Computers Limited (INDIA) is hiring for a CA Requirement position in Mumbai (Bhandup) with a work from office (WFO) setup. This role requires a candidate with 8+ years of experience. The candidate should have expertise in data Analytics / BI domain, with specific skills in Python for data Analytics projects, advanced SQL for backend operations, experience in working on various projects across different domains and use cases, good communication skills, and the ability to lead a team effectively. The ideal candidate for the data Analytics / BI role should possess 6 to 11 years of hands-on experience with Python, proficiency in Python data structures and algorithms, familiarity with libraries like Pandas, numpy, requests, and experience in scripting and framework creation using Python. Knowledge of SCM tools like Git, Bitbucket, working with RDBMS using SQL, unit testing frameworks, and performance testing are also required. Strong communication and debugging skills are essential for this role. Key Responsibilities: - Write effective, scalable code - Develop back-end components to enhance responsiveness and performance - Integrate user-facing elements into applications - Test and debug programs - Enhance functionality of existing systems - Implement security and data protection solutions - Assess and prioritize feature requests - Collaborate with internal teams to understand user requirements and provide technical solutions Requirements and skills: - Work experience as a Python Developer - Proficiency in at least one popular Python framework (e.g., Django, Flask, or Pyramid) - Knowledge of object-relational mapping (ORM) - Familiarity with front-end technologies such as React JS, JavaScript, and HTML5 - Team player with good problem-solving skills Desired Skills: - Experience with cloud platforms - Knowledge of Big Data technologies like Pyspark/Spark-Scala - Working knowledge of Kubernetes, dockerization, and Terraform If you are interested in this opportunity, please share your updated resume at chaitali.saha@voqeoit.com. Kindly provide the following details for further processing: - Total Experience - Relevant Experience in - Current CTC - Expected CTC - Notice Period - Negotiable Notice Period - Last WD (if not working) - Job offers in hand Regards, Chaitali Saha Talent Acquisition Group at Voqeoit Technologies Email: chaitali.saha@voqeoit.com Contact no: 8088779710 Website: www.voqeoit.com Thank you.,

As a Python Developer leading the Data Analytics/BI domain with over 8 years of experience, you will play a crucial role in Mumbai (Bhandup) on-site. Your primary responsibilities include leveraging your expertise in Python, specifically in data analytics projects, and showcasing advanced SQL skills for backend development. Your experience in working across multiple projects in various domains and use cases will be invaluable. With a strong emphasis on effective communication, you will drive existing analytics products and manage a team. This role calls for a balance of technical prowess (70%) and management skills (30%). Notably, our Analytic Tool/product is already available on the AWS marketplace. Your role demands 6 to 11 years of hands-on experience in Python, demonstrating the ability to write robust code and a deep understanding of data structures, data transformation, and algorithms. Proficiency in Python libraries such as Pandas, NumPy, and Requests is essential, along with using Python for scripting and framework creation. In addition, familiarity with SCM tools like Git and Bitbucket, RDBMS, unit testing frameworks like pytest, and performance testing will be beneficial. You should possess excellent communication and debugging skills to effectively collaborate with the team. Your tasks will involve writing scalable code, developing back-end components for enhanced responsiveness, integrating user-facing elements, testing and debugging programs, and improving existing systems" functionality. Furthermore, implementing security and data protection solutions, assessing feature requests, and providing technical solutions aligned with user requirements will be part of your routine. Key Requirements and Skills: - Proven work experience as a Python Developer - Expertise in at least one popular Python framework such as Django, Flask, or Pyramid - Knowledge of object-relational mapping (ORM) and familiarity with front-end technologies like React JS, JavaScript, and HTML5 - Strong team spirit and problem-solving skills Desired Skills: - Cloud Experience - Big Data knowledge in Pyspark/Spark-Scala - Working knowledge of Kubernetes, dockerization - Experience with Terraform If you are a result-oriented programmer with a proactive approach, exceptional technical skills, and a passion for leading data analytics projects, we welcome your application to join our dynamic team.,

As a high-impact AI/ML Engineer, you will lead the design, development, and deployment of machine learning and AI solutions across vision, audio, and language modalities. You will be an integral part of a fast-paced, outcome-oriented AI & Analytics team, collaborating with data scientists, engineers, and product leaders to translate business use cases into real-time, scalable AI systems. Your responsibilities in this role will include architecting, developing, and deploying ML models for multimodal problems encompassing vision, audio, and NLP tasks. You will be responsible for the complete ML lifecycle, from data ingestion to model development, experimentation, evaluation, deployment, and monitoring. Leveraging transfer learning and self-supervised approaches where appropriate, you will design and implement scalable training pipelines and inference APIs using frameworks like PyTorch or TensorFlow. Collaborating with MLOps, data engineering, and DevOps teams, you will operationalize models using technologies such as Docker, Kubernetes, or serverless infrastructure. Continuously monitoring model performance and implementing retraining workflows to ensure sustained accuracy over time will be a key aspect of your role. You will stay informed about cutting-edge AI research and incorporate innovations such as generative AI, video understanding, and audio embeddings into production systems. Writing clean, well-documented, and reusable code to support agile experimentation and long-term platform development is an essential part of this position. To qualify for this role, you should hold a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field, with a minimum of 5-8 years of experience in AI/ML Engineering, including at least 3 years in applied deep learning. In terms of technical skills, you should be proficient in Python, with knowledge of R or Java being a plus. Additionally, you should have expertise in ML/DL Frameworks like PyTorch, TensorFlow, and Scikit-learn, as well as experience in Computer Vision tasks such as image classification, object detection, OCR, segmentation, and tracking. Familiarity with Audio AI tasks like speech recognition, sound classification, and audio embedding models is also desirable. Strong capabilities in Data Engineering using tools like Pandas, NumPy, SQL, and preprocessing pipelines for structured and unstructured data are required. Knowledge of NLP/LLMs, Cloud & MLOps services, deployment & infrastructure technologies, and CI/CD & Version Control tools are also beneficial. Soft skills and competencies that will be valuable in this role include strong analytical and systems thinking, effective communication skills to convey models and results to non-technical stakeholders, the ability to work cross-functionally with various teams, and a demonstrated bias for action, rapid experimentation, and iterative delivery of impact.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY's Financial Services Office (FSO) is a unique, industry-focused business unit that provides a broad range of integrated services leveraging deep industry experience with strong functional capability and product knowledge. The FSO practice offers integrated advisory services to financial institutions and other capital markets participants, including commercial banks, investment banks, broker-dealers, asset managers, insurance and energy trading companies, and Corporate Treasury functions of leading Fortune 500 Companies. The service offerings include market, credit, and operational risk management, regulatory advisory, quantitative advisory, technology enablement, and more. Within EY's FSO Advisory Practice, the Financial Services Risk Management (FSRM) group provides solutions to help clients identify, measure, manage, and monitor market, credit, operational, and regulatory risks associated with trading, asset-liability management, and capital markets activities. The Credit Risk (CR) team within FSRM assists clients in designing and implementing strategic and functional changes across risk management within banking book portfolios of large domestic and global financial institutions. Key Responsibilities: - Demonstrate deep technical capabilities and industry knowledge of financial products, particularly lending products. - Stay informed about market trends and demands in the financial services sector and issues faced by clients. - Monitor progress, manage risk, and communicate effectively with key stakeholders. - Mentor junior consultants and review tasks completed by them. - Work on projects involving model audits, validation, and development activities. Qualifications, Certifications, and Education: Must-have: - Postgraduate degree in accounting, finance, economics, statistics, or related field with at least 3 years of related work experience. - Understanding of climate risk models, ECL, stress testing, and regulatory requirements related to credit risk. - Knowledge of Credit Risk and Risk Analytics techniques. - Hands-on experience in data preparation, manipulation, and consolidation. - Strong documentation skills and ability to summarize key details effectively. - Proficiency in statistics, econometrics, and technical skills in Advanced Python, SAS, SQL, R, and Excel. Good-to-have: - Certifications such as FRM, CFA, PRM, SCR. - Experience in Data/Business Intelligence Reporting and knowledge of Machine Learning models. - Willingness to travel and previous project management experience. EY exists to build a better working world, creating long-term value for clients, people, and society while building trust in capital markets. EY teams across 150 countries provide trust through assurance and help clients grow, transform, and operate in various sectors like assurance, consulting, law, strategy, tax, and transactions, addressing complex issues globally.,

You will be responsible for preparing data, developing models, testing them, and deploying them. This includes designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models. Your role will involve ensuring that algorithms generate accurate user recommendations. Additionally, you will work on turning unstructured data into useful information by auto-tagging images and converting text to speech. Solving complex problems with multi-layered data sets and optimizing existing machine learning libraries and frameworks will be part of your daily tasks. Your responsibilities will also include developing machine learning algorithms to analyze large volumes of historical data for making predictions. You will run tests, perform statistical analysis, and interpret the results, documenting machine learning processes. As a Lead Engineer in ML and Data Engineering, you will oversee the technologies, tools, and techniques used within the team. Collaboration with the team based on business requirements for designing the requirements is essential. You will ensure that development standards, policies, and procedures are adhered to and drive change to implement efficient and effective strategies. Working closely with peers in the business to fully understand the business process and requirements is crucial. Maintenance, debugging, and problem-solving will also be part of your job responsibilities. Ensuring that all software developed within your team meets the business requirements specified and showing flexibility to respond to the changing needs of the business are key aspects of the role. Your technical skills should include 4+ years of experience in Python, API development using Flask/Django, and proficiency in libraries such as Pandas, Numpy, Keras, Scipy, Scikit-learn, PyTorch, Tensor Flow, and Theano. Hands-on experience in Machine Learning (Supervised & Unsupervised) and familiarity with Data Analytics Tools & Libraries are required. Experience in Cloud Data Pipelines and Engineering (Azure/AWS) as well as familiarity with ETL Pipelines/DataBricks/Apache NiFi/Kafka/Talend will be beneficial. Ability to work independently on projects, good written and verbal communication skills, and a Bachelor's Degree in Computer Science/Engineering/BCA/MCA are essential qualifications for this role. Desirable skills include 2+ years of experience in Java.,

Automation Anywhere is a leader in AI-powered process automation, utilizing AI technologies to drive productivity and innovation across organizations. The company's Automation Success Platform offers a comprehensive suite of solutions including process discovery, RPA, end-to-end process orchestration, document processing, and analytics, all with a security and governance-first approach. By empowering organizations globally, Automation Anywhere aims to unleash productivity gains, drive innovation, enhance customer service, and accelerate business growth. Guided by the vision to enable the future of work through AI-powered automation, the company is committed to unleashing human potential. Learn more at www.automationanywhere.com. Qualifications: - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - 6 to 12 years of relevant experience. - Proven track record as a Solution Architect or Lead, focusing on integrating Generative AI or exposure to Machine Learning. - Expertise in at least one RPA tool such as Automation Anywhere, UiPath, Blue Prism, Power Automate, and proficiency in programming languages like Python or Java. Skills: - Proficiency in Python or Java for programming and architecture. - Strong analytical and problem-solving skills to translate business requirements into technical solutions. - Experience with statistical packages and machine learning libraries (e.g., R, Python scikit-learn, Spark MLlib). - Familiarity with RDBMS, NoSQL, and Cloud Platforms like AWS/AZURE/GCP. - Knowledge of ethical considerations and data privacy principles related to Generative AI for responsible integration within RPA solutions. - Experience in process analysis, technical documentation, and workflow diagramming. - Designing and implementing scalable, optimized, and secure automation solutions for enterprise-level AI applications. - Expertise in Generative AI technologies such as RAG, LLM, and AI Agent. - Advanced Python programming skills with specialization in Deep Learning frameworks, ML libraries, NLP libraries, and LLM frameworks. Responsibilities: - Lead the design and architecture of complex RPA solutions incorporating Generative AI technologies. - Collaborate with stakeholders to align automation strategies with organizational goals. - Develop high-level and detailed solution designs meeting scalability, reliability, and security standards. - Take technical ownership of end-to-end engagements and mentor a team of senior developers. - Assess the applicability of Generative AI algorithms to optimize automation outcomes. - Stay updated on emerging technologies, particularly in Generative AI, to evaluate their impact on RPA strategies. - Demonstrate adaptability, flexibility, and willingness to work from client locations or office environments as needed. Kindly note that all unsolicited resumes submitted to any @automationanywhere.com email address will not be eligible for an agency fee.,

As a Data Engineering Specialist, you will be responsible for assessing, capturing, and translating complex business issues into structured technical tasks for the data engineering team. This includes designing, building, launching, optimizing, and extending full-stack data and business intelligence solutions. Your role will involve supporting the build of big data environments, focusing on improving data pipelines and data quality, and working with stakeholders to meet business needs. You will create data access tools for the analytics and data scientist team, conduct code reviews, assist other developers, and train team members as required. Additionally, you will ensure that developed systems comply with industry standards and best practices while meeting project requirements. To excel in this role, you should possess a Bachelor's degree in computer science engineering or equivalent, or relevant experience. Certification in cloud technologies, especially Azure, would be beneficial. You should have 2-3+ years of development experience in building and maintaining ETL/ELT pipelines on various sources and operational programming tasks. Experience with Apache data projects or cloud platform equivalents and proficiency in programming languages like Python, Scala, R, Java, Golang, Kotlin, C, or C++ is required. Your work will involve collaborating closely with data scientists, machine learning engineers, and stakeholders to understand requirements and develop data-driven solutions. Troubleshooting, debugging, and resolving issues within generative AI system development, as well as documenting processes, specifications, and training procedures will be part of your responsibilities. In summary, this role requires a strong background in data engineering, proficiency in cloud technologies, experience with data projects and programming languages, and the ability to collaborate effectively with various stakeholders to deliver high-quality data solutions.,

You are a Senior Python Data Application Developer with a strong expertise in core Python and data-focused libraries. Your primary responsibility is to design, develop, and maintain data-driven applications optimized for performance and scalability. You will be building robust data pipelines, ETL processes, and APIs for integrating various data sources efficiently within the cloud environment. In this role, you will work on AWS using serverless and microservices architectures, utilizing services such as AWS Lambda, API Gateway, S3, DynamoDB, Kinesis, and other AWS tools as required. Collaboration with cross-functional teams is essential to deliver feature-rich applications that meet business requirements. You will apply software design principles and best practices to ensure applications are maintainable, modular, and highly testable. Your tasks will also involve setting up monitoring solutions to proactively monitor application performance, detect anomalies, and resolve issues. Optimizing data applications for cost, performance, and reliability on AWS is a crucial aspect of your role. To excel in this position, you should have at least 5 years of professional experience in data-focused application development using Python. Proficiency in core Python and data libraries such as Pandas, NumPy, and PySpark is required. You must possess a strong understanding of AWS services like ECS, Lambda, API Gateway, S3, DynamoDB, Kinesis, etc. Experience with building highly distributed and scalable solutions via serverless, micro-service, and service-oriented architecture is essential. Furthermore, you should be familiar with unit test frameworks, code quality tools, and CI/CD practices. Knowledge of database management, ORM concepts, and experience with both relational (PostgreSQL, MySQL) and NoSQL (DynamoDB) databases is desired. An understanding of the end-to-end software development lifecycle, Agile methodology, and AWS certification would be advantageous. Strong problem-solving abilities, attention to detail, critical thinking, and excellent communication skills are necessary for effective collaboration with technical and non-technical teams. Mentoring junior developers and contributing to a collaborative team environment are also part of your responsibilities. This is a full-time position located in Bangalore with a hybrid work schedule. If you have proficiency in Pandas, NumPy, and PySpark, along with 5 years of experience in Python, we encourage you to apply and join our team dedicated to developing, optimizing, and deploying scalable data applications supporting company growth and innovation.,

You will be responsible for fetching and transforming data from various systems, conducting in-depth analyses to identify gaps, opportunities, and insights, and providing recommendations that support strategic business decisions. Your key responsibilities will include data extraction and transformation, data analysis and insight generation, visualization and reporting, collaboration with cross-functional teams, and building strong working relationships with external stakeholders. You will report to the VP Business Growth and work closely with clients. To excel in this role, you should have proficiency in SQL for data querying and Python for data manipulation and transformation. Experience with data engineering tools such as Spark and Kafka, as well as orchestration tools like Apache NiFi and Apache Airflow, will be essential for ETL processes and workflow automation. Expertise in data visualization tools such as Tableau and Power BI, along with strong analytical skills including statistical techniques, will be crucial. In addition to technical skills, you should possess soft skills such as flexibility, excellent communication skills, business acumen, and the ability to work independently as well as within a team. Your academic qualifications should include a Bachelors or Masters degree in Applied Mathematics, Management Science, Data Science, Statistics, Econometrics, or Engineering. Extensive experience in Data Lake architecture, building data pipelines using AWS services, proficiency in Python and SQL, and experience in the banking domain will be advantageous. Overall, you should demonstrate high motivation, a good work ethic, maturity, personal initiative, and strong oral and written communication skills to succeed in this role.,

As a Senior Data Scientist, you will utilize your extensive experience and expertise in AI/ML technologies to drive innovation and solve real-world problems. Your responsibilities will include designing, developing, and optimizing recommendation systems to enhance user experience, building advanced NLP chatbots for automating customer interactions, leading Generative AI solutions, and applying Large Language Models like GPT and BERT to create innovative business-specific solutions. Collaboration with cross-functional teams is key as you integrate machine learning models into production systems, perform data exploration and feature engineering, and stay updated on the latest advancements in AI and ML technologies. Mentoring junior data scientists and engineers, collaborating with product managers and business stakeholders, and ensuring ethical and responsible model development are also crucial aspects of this role. To excel in this position, you should have 5+ years of experience in data science or machine learning, with strong expertise in recommendation systems, chatbots, Generative AI, and Large Language Models. Proficiency in machine learning frameworks like TensorFlow and PyTorch, as well as experience with cloud platforms and data pipelines, will be essential. Your problem-solving skills, statistical knowledge, and ability to convey technical concepts to non-technical stakeholders will further contribute to your success in this role. Joining our rapidly growing product-based company will provide you with the opportunity to collaborate with a talented team, work on high-quality software solutions, and enjoy a competitive compensation and benefits package. If you are passionate about AI/ML technologies and eager to make a significant impact, this role offers an exciting and rewarding career opportunity.,

You should have at least 5+ years of Quality Assurance experience, along with a minimum of 4+ years of ETL Processes/Data Warehouse Testing experience. Additionally, a minimum of 1+ years of experience in Python (Pandas) is required. Your role will involve hands-on experience in ORACLE database technologies, including writing complex ORACLE SQL and PL/SQL scripts for data validation and backend Data warehouse testing. Experience in ETL Processes (Data Warehouse Testing) and BI testing (QlikView, Cognos, etc.) will be essential, and you should be proficient enough to Analyze Source Systems, Staging area, Fact, and Dimension tables in Target D/W. Moreover, familiarity with No-SQL DB is a plus, and you should be proficient in defect tracking/Quality assurance tools such as ALM, JIRA, with knowledge of qTest being an advantage. Strong technical skills, good time management, and the ability to work both in a team and individually are key requirements. You should also have experience with QA processes and deliverables in an Agile/SCRUM environment, as well as strong verbal and written communication skills to effectively communicate with varying audiences. Proficiency in MS Office (Word, Excel, Outlook, PowerPoint) and prior experience in the financial domain would be beneficial. Furthermore, you should be well-versed with all stages of the Software Development Life Cycle (SDLC) and Software Testing Life Cycle (STLC). Your roles and responsibilities will include reviewing requirements and specifications, defining test conditions, designing test cases and test scripts, providing estimates for testing activities, and preparing Test Strategy, Test Plan, Detailed Test Cases, and writing Test Scripts. You will be responsible for performing backend (database) testing using complex SQL queries in Oracle, completing regression and integration testing, analyzing test results, logging defects in JIRA, and collaborating with project team members on issue resolution and re-testing. You will also be required to analyze and report test activities and results, as well as document, maintain, track, and report test status using tools such as ALM, JIRA, or qTest.,

Job Title: Python Developer (38 Years Experience) Location: Chennai Job Type: Full-Time Work Mode: Office (5 Days) Experience Required: 3 to 8 Years Job Description Ability to perform data transformations using Python, pandas, numpy, polars. Ability to query data from SQL and NoSQL databases. For SQL: Given a database schema should be able to create a query to extract desired data. For NoSQL: Experience performing hierarchical queries in REST or experience with GraphQL. Database operation (indexing etc), cache (redis etc), data management, handle missing data etc. Data visualization in Python (Plotly, Bokeh, matplotlib etc.) Some experience with distributed programming using Spark or Dask or similar toolkits that can take sequential code and run it across multiple processes. Familiar with machine learning, experience with deep learning model analysis, popular architectures, augmentations, fine tune, boosting, dimension reduction etc. Basic knowledge of computer vision and image processing, understand concept of feature extraction, object detection and classification, segmentation, denoise, super resolution etc. Familiar with python / tensorflow / pytorch / openCV etc. Good software skill, knows concept and object-oriented design, and basic software system design Experience of organize and aggregate large datasets Good data analysis and analytic skill

The Apex Group was established in Bermuda in 2003 and is now one of the worlds largest fund administration and middle office solutions providers. Our business is unique in its ability to reach globally, service locally and provide cross-jurisdictional services. With our clients at the heart of everything we do, our hard-working team has successfully delivered on an unprecedented growth and transformation journey, and we are now represented by over circa 13,000 employees across 112 offices worldwide.Your career with us should reflect your energy and passion. Thats why, at Apex Group, we will do more than simply empower you. We will work to supercharge your unique skills and experience. Take the lead and well give you the support you need to be at the top of your game. And we offer you the freedom to be a positive disrupter and turn big ideas into bold, industry-changing realities. For our business, for clients, and for you Skills Required Bachelor or equivalent degree in Computer Sciences (5+ years of work experience) Comfortable with Agile/DevOps methodology and with Git source control Good experience with Python/Django, HTML, CSS, JavaScript/jQuery & SQL Experience with AlpineJS, HTMX and Tailwind CSS are considered an advantage Experience building back-end APIs, preferably with Django REST Framework Experience with data integration automation like Pandas and ETL processes Azure API Gateway, Oracle DB and PostgreSQL experience is an advantage Great attention to detail and the passion to drive projects forward Able to produce technical documentation Excellent time management and decision-making skills Team player, open communicator and fluent in English Exposure to the funds industry DisclaimerUnsolicited CVs sent to Apex (Talent Acquisition Team or Hiring Managers) by recruitment agencies will not be accepted for this position. Apex operates a direct sourcing model and where agency assistance is required, the Talent Acquisition team will engage directly with our exclusive recruitment partners.

Objectives Of This Role Design and implement efficient, scalable backend services using Python. Work closely with healthcare domain experts to create innovative and accurate diagnostics solutions. Build APIs, services, and scripts to support data processing pipelines and front-end applications. Automate recurring tasks and ensure robust integration with cloud services. Maintain high standards of software quality and performance using clean coding principles and testing practices. Collaborate within the team to upskill and unblock each other for faster and better outcomes. Primary Skills Python Development Proficient in Python 3 and its ecosystem Frameworks: Flask / Django / FastAPI RESTful API development Understanding of OOPs and SOLID design principles Asynchronous programming (asyncio, aiohttp) Experience with task queues (Celery, RQ) Database & Storage Relational Databases: PostgreSQL / MySQL NoSQL: MongoDB / Redis / Cassandra ORM Tools: SQLAlchemy / Django ORM Testing & Automation Unit Testing: PyTest / unittest Automation tools: Ansible / Terraform (good to have) CI/CD pipelines DevOps & Cloud Docker, Kubernetes (basic knowledge expected) Cloud platforms: AWS / Azure / GCP GIT and GitOps workflows Familiarity with containerized deployment & serverless architecture Bonus Skills Data handling libraries: Pandas / NumPy Experience with scripting: Bash / PowerShell Functional programming concepts Familiarity with front-end integration (REST API usage, JSON handling) Other Skills Innovation and thought leadership Interest in learning new tools, languages, workflows Strong communication and collaboration skills Basic understanding of UI/UX principles

Objectives Of This Role Design and implement efficient, scalable backend services using Python. Work closely with healthcare domain experts to create innovative and accurate diagnostics solutions. Build APIs, services, and scripts to support data processing pipelines and front-end applications. Automate recurring tasks and ensure robust integration with cloud services. Maintain high standards of software quality and performance using clean coding principles and testing practices. Collaborate within the team to upskill and unblock each other for faster and better outcomes. Primary Skills Python Development Proficient in Python 3 and its ecosystem Frameworks Flask/Django/FastAPI RESTful API development Understanding of OOPs and SOLID design principles Asynchronous programming (asyncio, aiohttp) Experience with task queues (Celery, RQ) Database & Storage Relational Databases: PostgreSQL / MySQL NoSQL : MongoDB / Redis / Cassandra ORM Tools : SQLAlchemy / Django ORM Bonus Skills Data handling libraries: Pandas / NumPy Experience with scripting: Bash / PowerShell Functional programming concepts Familiarity with front-end integration (REST API usage, JSON handling) Other Skills Innovation and thought leadership Interest in learning new tools, languages, workflows Strong communication and collaboration skills Basic understanding of UI/UX principles Skills Python, Algorithms, Flask, Django and MongoDB

Role & responsibilities Hands on in Python Scripting Data engineering with Python (Experience in Pandas and Numpy) Hands on experience in ETL with Python. Good to have API experience , Framework (Django or Flask) Familiarity with Agile/Scrum methodologies Preferred candidate profile

Role & responsibilities Technical & Behavioral Competencies Excellent Knowledge & Understanding of Python, Pandas and Oracle, SQL, PL/SQL. Good Knowledge & Understanding of data modelling. Flair for learning new tools & technology. 4-6 years of experience in Banking IT, with a good understanding of the Corporate and Institutional Banking activity. Knowledge of Capital Markets an asset. Good knowledge and understanding of Windows Batch or PowerShell scripting. Good knowledge in systems, application frameworks, database optimization, and experience being responsible for the success of software development projects. Proven record interpreting and fulfilling requirements by developing high performing, scalable and maintainable solutions with multiple technologies. Hands-on experience with SDLC methodologies and best practices including Waterfall Process, Agile methodologies, deployment automation, code reviews, and test-driven development. Strong coordination and organizational skills Excellent communication skills and multi-tasking capabilities. Being aware of new technologies and frameworks. Experience and knowledge of Python language features like basic data types, functions with keywords args, default args, variable length args. Experience in using Python database API with any relational database like Oracle/SQL Server using pure Python or native database driver. Experience in using built in collection types [for example: sequence types, dict, sets]. Experience in using text manipulation facilities like regex, string methods from the standard library. Experience in reading and manipulating various file types like XML [using standard module like Element Tree], JSON, CSV. Experience in using file and directory manipulation modules like paths, globs from the standard library. Knowledge of widely used libraries in data science like NumPy, Pandas is a must. Visualization is a good to have but not on the mandatory path. Knowledge and Experience in using collections from the collections module will be good to have though not mandatory. Familiarity with using context managers. Familiarity with date manipulation using modules like datetime. Knowledge of Generators will be good to have though not mandatory. Familiarity with Object Oriented Python and magic methods. Preferred candidate profile