32 Python Coding Jobs

As an Algo Trading Content Creator at Nubra, a SEBI-registered stockbroker specializing in building in-house algorithmic trading APIs, you will play a critical role in redefining algorithmic trading experiences. Nubra's mission is to empower traders by providing them with the tools to automate strategies, backtest efficiently, and execute with precision. By combining cutting-edge technology with educational initiatives and community engagement, Nubra aims to support traders at all levels in achieving success. Your responsibilities in this role will require a unique blend of creativity, technical expertise, and market insight. You will be tasked with leveraging Nubra's APIs to develop and document trading strategies, creating educational content such as courses, tutorials, webinars, and articles to simplify complex algo trading concepts. Additionally, you will be responsible for recording video demonstrations, hosting live sessions, and engaging directly with clients and traders to address queries, gather feedback, and enhance user experience. Collaboration with product and engineering teams to refine API documentation, trading tools, and user workflows will also be a key aspect of your role. Furthermore, you will represent Nubra in community discussions, trading forums, and social media platforms as a credible and knowledgeable voice in the field of algorithmic trading. To excel in this position, you must possess strong Python coding skills, particularly in the areas of trading automation, data analysis, and API integration. An in-depth understanding of financial markets, derivatives, and trading strategies (including options, futures, and hedging) is essential. Previous hands-on experience with algo trading using broker APIs is a must, along with the ability to present technical concepts in a clear and engaging manner suitable for a broad audience. Additionally, experience in multi-platform algo trading, optimizing execution, backtesting frameworks, trade analytics, risk management tools, and compliance with SEBI guidelines for algo trading are highly preferred skills. If you are a technically skilled, market-savvy professional with a passion for finance, coding, and content creation, and possess the necessary expertise to thrive in a dynamic and innovative environment, we encourage you to consider joining Nubra as an Algo Trading Content Creator.,

You will be responsible for developing and maintaining Cosmos DB solutions as an Azure Cloud Architect. Your primary focus will be on Cosmos DB and NoSQL databases, with a strong emphasis on SQL and Python coding skills. Your role will involve migrating data from Mark Logic DB to Cosmos DB, requiring a deep understanding of both systems. You will need to have a strong background in databases, including SQL, and experience in database design and development. Previous exposure to database migration projects will be beneficial. To excel in this position, you should be able to understand business objectives and work closely with users to define business and system requirements. Your expertise in data warehousing concepts, formal database architecture, and design will be highly valued. This role requires the ability to thrive in a fast-paced and dynamic environment. You will collaborate with cross-functional teams, stakeholders, and vendors to ensure the smooth operation of the enterprise data system.,

Our client is a trusted global innovator of IT and business services, helping clients transform through consulting, industry solutions, business process services, digital & IT modernization, and managed services. They enable clients and society to move confidently into the digital future, committed to long-term success by combining global reach with local client attention in over 50 countries worldwide. The position available is for Container Security located in Bangalore, requiring a minimum of 8 years of experience. It is a Contract to Hire job with an immediate joiner's notice period. The Security Technology Engineering team collaborates with various Business Units and stakeholders to manage external and insider threat detection, mitigation, investigation, and response efforts globally. The Sr. Info Security Engineer participates in a global expert team developing technical solutions and advanced analytics for preventive threat detection. Responsibilities include working with Cyber Engineering, Operations, Architecture, and Global Infrastructure teams to deploy and operate a secure cloud application infrastructure aligned with cybersecurity strategic initiatives and business needs. Providing security direction to elevate the organization's security posture within a cloud computing environment is crucial for supporting business initiatives and delivering applications at scale with resiliency. The ideal candidate should possess advanced administrative and troubleshooting skills, along with knowledge of architecture, engineering, and design principles. They must have a minimum of 2-3 years of experience in security and systems administration across various cloud infrastructures like SaaS, IaaS, and PaaS. Proficiency in implementing industry-leading container security tools, leveraging cloud and container capabilities, is essential. The role demands self-starters with strong work ethic, analytical and critical thinking skills, and resourcefulness in a global virtual team environment. Effective verbal and written communication skills are vital for interfacing with other business units. Required qualifications include: - 5+ years of IT Technology experience - 2+ years of AI / ML experience with working knowledge in neural networks - 2+ years of data engineering experience, preferably using AWS Glue, Cribl, SignalFx, OpenTelemetry, or AWS Lambda - 2+ years of Python coding using numpy, vectorization, and TensorFlow - 2+ years of experience leading complex enterprise-wide integration programs as an individual contributor Preferred qualifications consist of a Mathematics or Physics degree, technical knowledge in cloud technologies like AWS, Azure, GCP, and excellent verbal, written, and interpersonal communication skills. The candidate should be capable of providing strong customer support.,

As an Automation QA at Annalect, you will be a vital member of the Technology team, contributing to software development and quality assurance processes. Your role will involve designing, developing, and executing automated test scripts to ensure the delivery of high-quality software solutions. You should possess a strong background in software testing and automation technologies, with a commitment to optimizing testing processes and supporting the organization's quality assurance strategy. Your responsibilities will include independently developing and executing automation scripts using Selenium Python, reporting defects, collaborating with QA team and stakeholders to create test plans, setting up automation testing standards, designing QA automation frameworks, maintaining test environments, and conducting performance and load testing. You will also work on Selenium-built automation frameworks like pytest, identify tools for automated solutions, perform cross-browser testing, and execute test cases in parallel. To qualify for this role, you should have 3-5 years of experience in automation testing, expertise in Python coding, experience with Selenium WebDriver and testing frameworks like Pytest and Robot. Strong debugging and troubleshooting skills, knowledge of CI/CD tools like Jenkins, Bamboo, or TeamCity, API testing and automation, working knowledge of Jira for test management, experience in Agile testing methodology, familiarity with tools like POSTMAN for API testing, and an understanding of cloud platforms like AWS or GCP are required.,

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the AI/ML & Data Platform team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. You will be executing software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems. Creating secure and high-quality production code and maintaining algorithms that run synchronously with appropriate systems is also part of your responsibilities. You will produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development. Additionally, gathering, analyzing, synthesizing, and developing visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems will be a key aspect of your role. Proactively identifying hidden problems and patterns in data and using these insights to drive improvements to coding hygiene and system architecture is also expected of you. Contribute to software engineering communities of practice and events that explore new and emerging technologies, adding to the team culture of diversity, opportunity, inclusion, and respect. Required qualifications, capabilities, and skills include formal training or certification on software engineering concepts and 3+ years of applied experience. Hands-on practical experience in system design, application development, testing, and operational stability. Proficiency in python coding skills, experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages. Overall knowledge of the Software Development Life Cycle, proficiency with automation frameworks similar to pytest, expertise in building robust automation solutions for APIs and UI validations, solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security, demonstrated knowledge of software applications, and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.). Preferred qualifications, capabilities, and skills would include familiarity with modern front-end technologies, exposure to cloud technologies, and exposure to performance testing and data validation concepts.,

As an Associate Software Engineer (Trainee) at Prologic Technologies in Mohali, you will have the exciting opportunity to work on cutting-edge projects involving Python development with a focus on Machine Learning and AI technologies. In this role, you will collaborate with data scientists and product teams to create intelligent and scalable solutions for clients worldwide. Your responsibilities will include designing, developing, and deploying ML/AI models using Python, as well as integrating AI solutions into various applications such as web apps, APIs, and internal tools. You will work on tasks related to NLP, recommendation systems, classification, and predictive models. Additionally, you will be responsible for building data pipelines for collection, cleaning, and transformation of structured and unstructured data, optimizing performance for large-scale datasets, and fine-tuning models using real-world data to enhance accuracy and efficiency. You will also have the opportunity to work with libraries like TensorFlow, PyTorch, Scikit-learn, and Hugging Face. Moreover, you will utilize tools like MLflow, FastAPI, and Docker for model lifecycle management, automate tasks using AI agents or LLMs, and develop reusable modules, scripts, and workflows to streamline processes. To excel in this role, you must possess strong Python coding skills, hands-on experience with ML/AI frameworks, familiarity with NLP, computer vision, or deep learning, and proficiency in using Git, Jupyter, Pandas, NumPy, and REST APIs. Experience with OpenAI APIs, Hugging Face Transformers, or LangChain, exposure to cloud platforms, and knowledge of MLOps or AutoML pipelines are considered advantageous. Furthermore, we value soft skills such as curiosity to explore AI technologies, an ownership mindset, attention to detail, ability to work independently and in teams, and clear communication and documentation habits. If you are passionate about leveraging AI to build innovative solutions and ready to contribute to the future of technology, we encourage you to apply by emailing your resume along with a brief write-up on a machine learning model you have developed and deployed, highlighting the tools or techniques used for optimization or automation. This is a full-time position based in Mohali, offering a dynamic work environment where you can grow and thrive in the field of AI and software engineering.,

As a Senior Data Analyst/Planner at M&C Saatchi's Intelligence Team, you will play a central role in supporting the broader strategy and business leads within the creative, consulting, and media agencies. Your primary responsibility will involve providing data and analysis using the Intelligence Platform, a curated data stack of tools and resources that power the M&C Saatchi Group. Your role will require you to delve into various types of data to uncover compelling stories and narratives that can transform data into creative opportunities and drive business growth. You should possess the creativity to bring data to life through engaging narratives, be comfortable presenting to internal audiences, and have a strong understanding of brands and marketing strategies. Additionally, you should be inquisitive, detail-oriented, and always eager to learn new approaches to data analysis. This global role, based in the Bangalore office of M&C Saatchi, may require you to work outside of regular hours to accommodate different time zones, primarily London and/or US time zones. Key Responsibilities: - Uncover Narratives: Source, blend, and analyze data to address business queries swiftly and identify trends across various markets and industries. - Bring Data to Life: Translate complex datasets into easy-to-understand narratives and client deliverables, ranging from emails to detailed reports or interactive dashboards. - Stay Ahead of the Curve: Familiarize yourself with a variety of tools and platforms and be open to learning new ones as needed. - Push Boundaries & Innovate: Introduce fresh ideas, experiment with new initiatives, and contribute to technological innovations within the team. - Prioritize Data-driven, Actionable Insights: Focus on delivering flawless, impactful reports that provide actionable insights. Key Initiatives You'll Support: - Automating data sourcing for Cultural Power, a global intelligence product. - Launching a global insights program to promote data literacy and engagement across the network. - Experimenting with AI-driven tools and automation to streamline reporting processes. - Expanding intelligence capabilities by incorporating new data sources. - Developing Opportunity Finder, a dashboard to identify industry shifts and new business opportunities. Requirements: - 5 to 6 years of experience in a Data and Research division within an advertising or research organization. - Strong attention to detail and the ability to thrive in a fast-paced, deadline-driven environment. - Familiarity with SaaS platforms like Brandwatch, GlobalWebIndex, Similarweb/SEMRush, etc. - Analytical mindset with the ability to spot trends and translate them into actionable insights. - Design awareness to transform insights into compelling presentations. - Interpersonal skills to collaborate effectively across teams and business challenges. Desirable Skills: - Background in digital marketing or advertising analytics. - Basic knowledge of Python coding, business intelligence, and data analysis. - Strong desire to learn and adapt quickly to new technologies and methodologies. Join us at M&C Saatchi Group to work on impactful projects for global brands, collaborate in a dynamic environment, and be part of a team that values creativity and analytics. Apply now to be a part of our journey to revolutionize insights and advertising.,

The position available is for the role of Data Scientist on a permanent, full-time basis. The ideal candidate should possess at least 7 years of experience in the field. The job location can be in Noida, Gurgaon, Pune, or Bangalore, with the standard working week being 5 days. The work mode for this role is Hybrid. The mandatory skills required for this position include expertise in Transformer Models, with experience in either finetuning or training on Open-Source Transformer-based models. The candidate should have completed projects involving LLM, NLP, LLAMA, Hugging face, and RAG. Proficiency in Python coding is a must, along with experience in Gen AI projects. Additionally, the candidate should have knowledge of either Machine Learning or Deep Learning. Experience with Conversational AI/Chatbot is considered a plus for this role.,

You are an experienced and dynamic AI & Building Energy Modeling Product Manager responsible for leading the development and management of cutting-edge AI-driven solutions in the field of building energy modeling and sustainability. Your role requires a unique blend of expertise in AI/ML technologies, building energy modeling, and product management. You should possess strong technical skills, a passion for sustainability, and the ability to drive product strategy and development in a fast-paced environment. Your responsibilities include staying up-to-date on AI and Building Energy modeling and industry trends, applying this knowledge to inform product strategy, acting as a domain expert from Building Energy and HVAC domain, driving clear product definition and roadmap to achieve business goals, collaborating closely with AI/ML researchers, engineers, data analysts, annotators, and other product managers, deeply understanding customer needs and priorities, defining and tracking metrics to measure product quality and business impact, and ensuring AI products meet legal and ethical standards by working with legal and compliance teams. Qualifications required for this role include a bachelor's or master's degree in architecture, engineering, or a related field, along with a minimum of 2+ years of relevant experience in building energy modeling and simulation. Proven experience within a similar role dealing with Green Building, Sustainability strategies, Energy strategies, Energy modeling, and assessment is necessary. Strong technical skills and knowledge of building energy codes and standards, hands-on experience on IESVE/HAP/Design Builder, knowledge of using other software such as Energy Plus or eQuest, BEMP, CEM, or equivalent credentials, basic understanding of AI/ML concepts, capability of coding using Python, capability to perform market and competitive analysis in AI, familiarity with project management methodologies (Agile, Scrum), and the ability to work independently and as part of a team are also required. Furthermore, you will have the opportunity to work with a dynamic and innovative IT organization, experience a collaborative and supportive work environment, and benefit from professional growth and development opportunities. As a candidate, you should have a good understanding of different marketing techniques, familiarity with marketing applications (e.g., CRM tools, online analytics, and Google AdWords), a passion for the marketing industry and its best practices, excellent verbal and written communication skills, and skills in written & oral communication, objection handling, pitching value proposition, and preferably some knowledge of the valve industry and HVAC. Qualifications such as a bachelor's degree in Mechanical or a related discipline, BBA/MBA in Marketing, being a self-motivated and extrovert individual with a strong work ethic and a desire for continuous learning are also recommended.,

As a Senior Principal Technologist (Data Architect) at Medtronic, you will be responsible for delivering data architecture solutions that align with business capability needs and enterprise standards. In this role, you will collaborate with Enterprise Solution Architects, Business Solution Architects, Technical Architects, and external service providers to ensure that data and information models and technologies are in line with architecture strategies and Medtronic's standards. Your role will involve working with Business Analysts to review business capability needs, define requirements, conduct data analysis, develop data models, write technical specifications, and collaborate with development teams to ensure the successful delivery of designs. Your technical expertise will be crucial in leveraging tools such as webMethods suite, Informatica, ETL tools, Kafka, and data transformation techniques to design and implement robust integration solutions. You will oversee the implementation of integration solutions, ensuring they meet technical specifications, quality standards, and best practices. Additionally, you will lead continuous improvement initiatives to enhance integration processes, troubleshoot and resolve integration-related issues, mentor junior team members, collaborate with vendors, optimize performance, and contribute to documentation and knowledge management efforts. To be successful in this role, you should have at least 8 years of IT experience with a Bachelor's Degree in Engineering, MCA, or MSc. You should also have experience in relevant architecture disciplines (integrations, data, services, infrastructure), Oracle, SAP, or big data platforms, Informatica, PowerDesigner, Python coding, and Snowflake. Specialized knowledge in Enterprise-class architecture concepts, data integration, data modeling methodologies, cloud-based solutions, and data governance would be advantageous. It would be beneficial to have a high degree of learning agility, experience with large enterprise systems, technical modeling and design skills, awareness of architecture frameworks, and strong leadership, teamwork, analytical, and communication skills. Experience in the Medical Device Industry or other regulated industries, as well as the ability to work independently and collaboratively, would also be valuable. At Medtronic, we offer a competitive salary, flexible benefits package, and a commitment to recognizing and supporting the contributions of our employees. Our mission is to alleviate pain, restore health, and extend life by boldly addressing the most challenging health problems. As part of our global team of passionate individuals, you will have the opportunity to engineer real solutions for real people and contribute to our mission of making healthcare technology accessible to all. Join us at Medtronic and be a part of a team that is dedicated to innovation, collaboration, and making a meaningful impact on global healthcare technology.,

NTT DATA is looking for a Sr Information Security Engineer to be a part of their team based in Bangalore, Karnataka (IN-KA), India. As a Sr Information Security Engineer, you will bring your expertise and experience in IT Technology, AI / ML, data engineering, python coding, and enterprise-wide integration programs to contribute to our innovative and forward-thinking organization. **Required Skills:** - You should have at least 5 years of experience in IT Technology. - With a minimum of 2 years of experience in AI / ML, you should possess a strong working knowledge in neural networks. - Having 2+ years of data engineering experience, preferably using AWS Glue, Cribl, SignalFx, OpenTelemetry, or AWS Lambda, will be an added advantage. - Your proficiency should include 2+ years of python coding using numpy, vectorization, and Tensorflow. - You must have 2+ years of experience in leading complex enterprise-wide integration programs and efforts as an individual contributor. **Preferred Skills:** - A degree in Mathematics or Physics would be preferred. - Technical knowledge in cloud technologies such as AWS, Azure, and GCP for at least 2 years is desirable. - Excellent verbal, written, and interpersonal communication skills are a must. - Your ability to provide strong customer service will be highly valued. If you are someone who is passionate about innovation and growth, and can contribute effectively to our diverse and global team, we encourage you to apply now and be a part of NTT DATA's commitment to helping clients innovate, optimize, and transform for long-term success. About NTT DATA: NTT DATA is a $30 billion trusted global innovator of business and technology services. With a strong presence in more than 50 countries, we serve 75% of the Fortune Global 100 and have a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. Being one of the leading providers of digital and AI infrastructure globally, we are dedicated to helping organizations and society move confidently and sustainably into the digital future. Join us in this journey towards innovation and success! #LI-INPAS,

The Data Chapter at our organization serves as a strategic partner, utilizing cutting-edge AI and ML technologies to drive data-led initiatives that help mitigate risk, generate revenue, and enhance operational efficiency. Our primary focus lies in ensuring data integrity and governance, delivering high-quality analysis, insights, and automation to facilitate data-driven decision-making throughout the organization. Through a collaborative approach, we provide timely and actionable solutions that align with the strategic objectives of the company. As a member of our team, your responsibilities will include developing and implementing advanced data science models and algorithms to derive business insights and support decision-making processes. You will collaborate with cross-functional teams to identify and address complex business challenges using statistical analysis and machine learning techniques. Additionally, you will be involved in conducting risk and business model analysis to evaluate the impact of data-driven initiatives on the organization. We encourage exploration and experimentation with emerging technologies like generative AI to enhance our data science capabilities and foster innovation. Problem-solving skills, both independently and as part of a team, are essential for success in this role. To qualify for this position, you should possess 2-6 years of experience in data science, machine learning, or a related field. Proficiency in statistical analysis, data mining, and the application of advanced analytical techniques is required. Hands-on experience in Python coding is a must, along with familiarity with cloud storage and computing. Proficiency in Excel is preferred. You should also have practical experience in developing and deploying data science models and algorithms, including those involving generative AI. Strong problem-solving and critical thinking skills are highly valued, as well as effective communication and collaboration abilities to work efficiently with cross-functional teams. If you are seeking a challenging opportunity where you can contribute your expertise and grow professionally, we invite you to apply now. We offer a competitive salary and benefits package, along with the opportunity to work in a dynamic environment that supports your development and recognizes your achievements.,

As an Engineering Lead at Aithon Solutions, a dynamic organization specializing in operations and technology solutions for the alternative asset management sector, you will play a pivotal role in steering the development of our Generative AI products. Your primary mandate will involve overseeing the entire product lifecycle to ensure scalability, top-notch performance, and continuous innovation. Collaborating with diverse teams, you will champion engineering excellence and cultivate a culture that thrives on high performance. Your role demands a profound understanding of AI/ML, proficiency in Python coding, expertise in distributed systems, cloud architectures, and contemporary software engineering practices. Moreover, hands-on coding experience is crucial for this position, ensuring a comprehensive grasp of the technical landscape you will be navigating. Key Responsibilities: - **Technical Leadership & Strategy:** Craft and execute the technology roadmap for our Generative AI products, aligning technological advancements with overarching business objectives. - **AI/ML Product Development:** Drive the development of AI-powered products, fine-tuning models for optimal performance, scalability, and real-world applicability. - **Engineering Excellence:** Establish industry best practices in software development, DevOps, MLOps, and cloud-native architectures to foster a culture of continuous improvement. - **Team Leadership & Scaling:** Recruit, mentor, and supervise a proficient engineering team, nurturing a culture characterized by innovation and collaborative spirit. - **Cross-Functional Collaboration:** Collaborate closely with Product, Data Science, and Business teams to translate cutting-edge AI research into practical applications. - **Scalability & Performance Optimization:** Architect and enhance distributed systems to ensure the efficient deployment of AI models across cloud and edge environments. - **Security & Compliance:** Implement robust frameworks for AI ethics, data security, and compliance with industry standards and regulations. Qualifications & Skills: - Demonstrable experience of at least 12 years in software engineering, with a minimum of 3 years in leadership positions within AI-focused enterprises. - Profound expertise in Generative AI, Deep Learning, NLP, Computer Vision, and model deployment. - Hands-on familiarity with ML frameworks and leading cloud platforms such as AWS, GCP, and Azure. - Proven track record of scaling AI/ML infrastructure and optimizing models for superior performance and cost-effectiveness. - Comprehensive understanding of distributed systems, cloud-native architectures, and microservices. - Proficiency in MLOps, CI/CD, and DevOps practices. - Strong problem-solving acumen, strategic thinking, and adept stakeholder management skills. - Ability to attract, nurture, and retain top engineering talent in a competitive marketplace. Why Join Us - Lead a forward-thinking team at the forefront of Generative AI innovation. - Contribute to the development of scalable, high-impact AI products that are shaping the future of technology. - Embrace a truly entrepreneurial culture that champions imagination, innovation, and teamwork. - Collaborate with a high-caliber, collaborative team dedicated to driving excellence in the tech industry.,

You will be joining Introlligent, a client-centric global software development company that specializes in delivering top-tier software development, web applications, IT professional services, database management, business intelligence, and infrastructure solutions. With a significant presence across North America, Singapore, UAE, China, and India, Introlligent offers unmatched scalability, project efficiencies, and cost benefits through its proven Global Delivery Model. Established in 2001, Introlligent has earned a strong reputation for excellence in providing offshore software development services across various industries, including manufacturing, media & entertainment, banking & finance, healthcare, insurance, and real estate. Introlligent's client base includes Fortune 500 companies, and the company specializes in solutions such as offshore and onsite software development, web application development, product development, recruitment solutions, web-enablement design, .NET development, PHP development, and more. Your role at Introlligent will involve the following key responsibilities: DevOps skills: - Managing Linux-based systems, including installation, configuration, and maintenance. - Monitoring, troubleshooting, and resolving system issues. - Implementing updates, patches, and configuration changes. - Coordinating cross-functional teams to solve system issues. - Containerizing applications using Docker and managing their lifecycle. - Setting up monitoring and observability tools like Prometheus and Grafana. - Troubleshooting and resolving issues related to application infrastructure. - Having basic Python coding experience. - Knowing Ansible automation and configuration tools. - Being familiar with various cloud platforms (AWS, Google Cloud). Networking: - Having a good understanding of IP addressing, subnetting, DNS, DHCP, routing, switching, and troubleshooting common network connectivity issues. - Using network troubleshooting techniques and creative problem-solving. - Having expertise in LAN, WAN, MPLS, and Internet technologies. - Experience in a data center environment is preferred. - Exposure to Nginx. - Setting up and troubleshooting site-to-site and client VPNs for secure remote access. - Documenting network configurations, changes, and procedures. - Possessing excellent verbal and written communication skills. If you have 2-5 years of relevant experience and are looking for a Full-Time opportunity in Bengaluru with a Hybrid work model, then this position at Introlligent could be the perfect fit for you. Join us in our commitment to delivering excellence in software development and IT solutions to our global clients.,

NTT DATA is looking for a Sr Information Security Engineer to be a part of their team in Bangalore, Karnataka (IN-KA), India. As a Sr Information Security Engineer, you will be responsible for various tasks, including but not limited to: - Having 5+ years of experience in IT Technology. - Possessing 2+ years of experience in AI / ML with a strong working knowledge in neural networks. - Demonstrating 2+ years of data engineering experience, preferably using AWS Glue, Cribl, SignalFx, OpenTelemetry, or AWS Lambda. - Having 2+ years of python coding experience using numpy, vectorization, and Tensorflow. - Leading complex enterprise-wide integration programs and efforts for a minimum of 2 years as an individual contributor. Preferred Skills: - Holding a Mathematics or physics degree. - Having 2+ years of technical knowledge in cloud technologies such as AWS, Azure, GCP. - Demonstrating excellent verbal, written, and interpersonal communication skills. - Being able to provide strong customer service. NTT DATA is a trusted global innovator of business and technology services, with a commitment to helping clients innovate, optimize, and transform for long-term success. As a Global Top Employer, NTT DATA has diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Their services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. NTT DATA is one of the leading providers of digital and AI infrastructure globally. If you are an exceptional, innovative, and passionate individual looking to grow with a forward-thinking organization, apply now to be a part of NTT DATA's team in Bangalore, Karnataka, India.,

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. We are counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself and contribute to creating a better working world for all. We are currently looking for a highly skilled Pharma Forecasting Specialist to join our team. As a key stakeholder in a cross-functional team responsible for forecasting at global, country, and region levels, your role will involve developing brand volume forecasts, conducting strategic long-term brand and franchise forecasting, and solving analytical challenges using quantitative approaches. The ideal candidate will have around 6-8 years of forecasting experience, strong therapeutic area and pharma knowledge, and the ability to recommend assumptions, create concept notes, and deliver presentations. Basic Python coding skills are also required for this role. Key Responsibilities: - Develop brand volume forecasts for short-term and long-term planning. - Provide guidance based on franchise insights for strategic long-term brand and franchise forecasting. - Analyze regional and brand-level challenges quantitatively and perform sensitivity analyses. - Collaborate with cross-functional teams for global, country, and regional forecasting needs. - Maintain accurate forecasts using advanced analytical techniques and forecasting methodologies. - Recommend assumptions and methodologies for forecasting models and prepare concept notes and presentations to communicate findings effectively. - Utilize Python coding skills to automate and enhance forecasting processes. - Collaborate with global teams to gather requirements and deliver insights. - Analyze historical data and market trends to inform forecasting models. - Develop detailed reports and dashboards for forecasting purposes. - Present findings and recommendations to internal stakeholders and executive leadership. - Continuously optimize forecasting processes and methodologies and stay updated with the latest tools and technologies in forecasting and analytics. Key Competencies: - Strong business analysis skills with experience in requirement elicitation, data management, change management, and presentation. - Knowledge of Long Range Forecasting process. - Excellent communication, facilitation, and stakeholder management skills. - Therapeutic area-specific knowledge and pharma experience. - Basic Python coding skills. Desired Skills and Experience: - Extensive experience in business analysis and forecasting within the pharmaceutical industry. - Strong knowledge of one or more pharma therapeutic areas such as Oncology, Vaccines, etc. - Proven track record in developing and maintaining accurate forecasts. - Advanced proficiency in business analysis and forecasting tools. - Basic proficiency in Python coding. - Strong verbal and written communication skills. - Ability to manage tasks independently and proactively. - Strong analytical and problem-solving skills. - Ability to work collaboratively with cross-functional teams and stakeholders. - Personal drive and positive work ethic to deliver results within tight deadlines and demanding situations. Minimum Qualifications: - Bachelor's degree in Business Administration, Data Science, Applied Mathematics, Pharmaceutical Sciences, Business Analytics, Computer Science, Information Systems, or other Quantitative fields. - Experience with tools and techniques like SQL, Tableau, Alteryx, and data processing. - Familiarity with Machine Learning/Statistical Learning and AI and their application cases is a plus. Preferred Qualifications: - Relevant analytical experience in the Pharmaceutical Industry. - Experience in developing and maintaining forecasting models in the pharmaceutical industry. - Expertise in business analysis and forecasting tools. - Basic proficiency in Python coding. - Strong verbal and written communication skills. - Proactiveness and passion to tackle new challenges. - Personal drive and positive work ethic to deliver results in demanding situations. Join EY and be a part of building a better working world. EY's diverse teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate across various domains. Working at EY means asking better questions to find new answers for the complex issues facing our world today.,

Wipro Limited is a leading technology services and consulting company dedicated to creating innovative solutions that cater to the complex digital transformation needs of clients. With a comprehensive range of capabilities in consulting, design, engineering, and operations, we assist clients in achieving their most ambitious goals and establishing future-ready, sustainable businesses. Our global presence spans over 65 countries with a workforce of more than 230,000 employees and business partners, committed to supporting our customers, colleagues, and communities in adapting to an ever-evolving world. For more information, please visit our website at www.wipro.com. As a Data Engineer with a minimum of 7 years of experience, including at least 2 years of project delivery experience in DataIku platforms, you will be responsible for configuring and optimizing Dataiku's architecture. This includes managing data connections, security settings, and workflow optimization to ensure seamless operations. Your expertise in Dataiku recipes, Designer nodes, API nodes, and Automation nodes will be instrumental in deploying custom workflows and scripts using Python. Collaboration is key in this role, as you will work closely with data analysts, business stakeholders, and clients to gather requirements and translate them into effective solutions within the DataIku environment. Your ability to independently navigate a fast-paced environment and apply strong analytical and problem-solving skills will be crucial in meeting project timelines and objectives. Additionally, familiarity with agile development methodologies and experience with Azure DevOps for CR/Production deployment implementation are highly desirable. Join us in reinventing the digital landscape at Wipro, where we encourage constant evolution and empower individuals to shape their professional growth. We welcome applications from individuals with disabilities to contribute to our diverse and inclusive workforce.,

As a Senior Information Security Engineer at NTT DATA in Bangalore, Karnataka (IN-KA), India, you will be part of a dynamic team that values exceptional, innovative, and passionate individuals who are eager to grow with us. If you are seeking to join an inclusive, adaptable, and forward-thinking organization, this opportunity is for you. You should have a minimum of 5 years of experience in IT Technology, with at least 2 years of hands-on experience in AI / ML, particularly with a strong working knowledge in neural networks. Additionally, you should possess 2+ years of data engineering experience, preferably using tools such as AWS Glue, Cribl, SignalFx, OpenTelemetry, or AWS Lambda. Proficiency in Python coding, including numpy, vectorization, and Tensorflow, is essential. Moreover, you must have 2+ years of experience in leading complex enterprise-wide integration programs as an individual contributor. Preferred qualifications for this role include a background in Mathematics or Physics and technical knowledge in cloud technologies like AWS, Azure, or GCP. Excellent verbal, written, and interpersonal communication skills are highly valued, as well as the ability to deliver strong customer service. NTT DATA is a $30 billion global innovator that serves 75% of the Fortune Global 100. As a Global Top Employer, we have a diverse team of experts in over 50 countries and a robust partner ecosystem. Our services encompass business and technology consulting, data and artificial intelligence, industry solutions, and the development, implementation, and management of applications, infrastructure, and connectivity. Join us as we continue to lead in digital and AI infrastructure globally and help organizations navigate confidently into the digital future. If you are ready to contribute your skills and expertise to a leading technology services provider, apply now and be a part of our journey towards innovation, optimization, and transformation for long-term success. Visit us at us.nttdata.com to learn more about our organization and the exciting opportunities we offer.,

The Modern Data Engineer is responsible for designing, implementing, and maintaining scalable data architectures using cloud technologies, primarily on AWS, to support the next evolutionary stage of the Investment Process. They build robust data pipelines, optimize data storage, and access patterns, and ensure data quality while collaborating across engineering teams to deliver high-value data products Key Responsibilities • Implement and maintain data pipelines for ingestion, transformation, and delivery • Ensure data quality through validation and monitoring processes • Collaborate with senior engineers to design scalable data solutions • Work with business analysts to understand and implement data requirements • Optimize data models and queries for performance and efficiency • Follow engineering best practices and contribute to team standards • Participate in code reviews and knowledge sharing activities • Implement data security controls and access policies • Troubleshoot and resolve data pipeline issues Core Technical Skills Cloud Platforms: Proficient with cloud-based data platforms (Snowflake, data lakehouse architecture) AWS Ecosystem : Strong knowledge of AWS services including Lambda, Glue, and S3 Streaming Architecture : Understanding of event-based or streaming data concepts using Kafka Programming: Strong proficiency in Python and SQL DevOps : Experience with CI/CD pipelines and infrastructure as code (Terraform) Data Security: Knowledge of implementing basic data access controls Database Systems : Experience with RDBMS (Oracle, Postgres, MSSQL) and exposure to NoSQL databases Data Integration : Understanding of data integration patterns and techniques Orchestration : Experience using workflow tools (Airflow, Control-M, etc.) Engineering Practices : Experience with GitHub, code verification, and validation Domain Knowledge: Basic knowledge of investment management industry concepts Core Technical Skills Cloud Platforms: Proficient with cloud-based data platforms (Snowflake, data lakehouse architecture) AWS Ecosystem : Strong knowledge of AWS services including Lambda, Glue, and S3 Streaming Architecture : Understanding of event-based or streaming data concepts using Kafka Programming: Strong proficiency in Python and SQL DevOps : Experience with CI/CD pipelines and infrastructure as code (Terraform) Data Security: Knowledge of implementing basic data access controls Database Systems : Experience with RDBMS (Oracle, Postgres, MSSQL) and exposure to NoSQL databases Data Integration : Understanding of data integration patterns and techniques Orchestration : Experience using workflow tools (Airflow, Control-M, etc.) Engineering Practices : Experience with GitHub, code verification, and validation Domain Knowledge: Basic knowledge of investment management industry concepts

You have 4-7 years of experience and possess expertise in API development and web services. You are proficient in Python coding, particularly with Flask. In addition to your technical skills, you also excel in guiding and mentoring junior team members. You have experience in collecting feedback from design and technical staff to determine development needs. Your background includes planning and estimating projects in an agile development environment. You are skilled in creating conceptual diagrams, visual mock-ups, and managing detailed user interface specifications. You have a strong focus on improving code standards and writing unit tests. You have hands-on experience in handling various releases such as maintenance release, emergency release, patch deployments, and the launch of new projects. You are familiar with Agile framework and have actively participated in Scrum ceremonies like Sprint Planning, Daily Stand up, Sprint review, and retrospective. Your responsibilities have also involved providing production support and development environments. You possess the ability to effectively communicate requirements to team members and manage applications. You are well-versed in DevOps processes and related tools. Having experience in the Networks domain is considered advantageous. Your behavioral skills include excellent teamworking and communication abilities, strong problem-solving skills, exceptional organizational and time management skills, and the capacity to work on multiple projects simultaneously. In terms of technical skills and tools, you have expertise in coding automation scripts using Python, API development, React, Jenkins, Git/GitHub, monitoring tools, Docker, Kubernetes, and load balancing. With a minimum of 7 years of experience, you are accountable for all projects handled within the team. If you join us at Societe Generale, you will have the opportunity to make a positive impact on the future through your initiatives. We encourage creating, daring, innovating, and taking action. Our environment promotes growth, development, and expertise enhancement. Furthermore, our employees have the chance to dedicate several days per year to solidarity actions during working hours. This includes activities such as sponsoring individuals struggling with their orientation or professional integration, participating in the financial education of young apprentices, and sharing skills with charities. There are various ways for you to get involved and contribute to meaningful causes.,

Dreaming big is at the core of AB InBev's DNA. It defines the company, its culture, heritage, and future. The future at AB InBev is about constant innovation and seeking new ways to enhance life's moments. They are on the lookout for individuals who embody passion, talent, and curiosity. AB InBev provides the necessary support and opportunities for individuals to unleash their full potential, fostering a collaborative environment where the combined strengths create unstoppable power. If you are ready to be a part of a team that dreams as big as you do, then AB InBev welcomes you. AB InBev GCC, established in 2014, serves as a strategic partner for Anheuser-Busch InBev. The center harnesses the potential of data and analytics to drive growth in crucial business functions including operations, finance, people, and technology. The teams at AB InBev are dedicated to transforming operations through technology and analytics. Are you someone who dreams big and is ready to make a difference AB InBev is looking for you to join their team. **Job Title:** Senior ML Engineer **Location:** Bangalore **Reporting to:** Director Data Analytics **Purpose of the role:** AB InBev's Supply Analytics team is focused on developing innovative solutions that optimize brewery efficiency through data-driven insights. By leveraging advanced analytics and AI-driven solutions, the team aims to streamline processes, reduce waste, and enhance productivity. As a Senior ML Engineer, you will be tasked with overseeing the end-to-end deployment of machine learning models on edge devices. Your responsibilities will include model optimization, scaling complexities, containerization, and infrastructure management to ensure high availability and performance. **Key tasks & accountabilities:** - Lead the complete edge deployment lifecycle, from model training to deployment and monitoring on edge devices. - Develop and maintain a scalable Edge ML pipeline for real-time analytics at brewery sites. - Optimize and containerize models using Portainer, Docker, and Azure Container Registry (ACR) for efficient execution in constrained edge environments. - Manage the GitHub repository with well-documented and modularized code for seamless deployments. - Establish robust CI/CD pipelines for continuous integration and deployment of models and services. - Implement logging, monitoring, and alerting for deployed models to ensure reliability and quick failure recovery. - Ensure compliance with security and governance best practices for data and model deployment in edge environments. - Document the thought process and create artifacts for sharing with business and engineering teams. - Review code quality and design developed by peers to ensure high quality and reproducible results. - Mentor junior team members and continuously upskill them. - Maintain basic developer hygiene practices. **Qualifications, Experience, Skills:** - Academic degree in Computer Science, Computer Applications, or a related engineering discipline. - 5+ years of experience in developing scalable and high-quality ML models. - Strong problem-solving skills with a proactive approach to identifying and resolving bottlenecks. - Proficiency in tools like pandas, NumPy, SciPy, scikit-learn, TensorFlow for machine learning. - Good understanding of statistical computing, parallel processing, and memory management in Python. - Experience in code versioning, modularized code base maintenance, and working in an Agile environment. - Proficiency in Docker, Kubernetes, Portainer, and container orchestration for edge computing. - Exposure to real-time analytics, edge AI deployments, DevOps practices, and infrastructure automation. - Contributions to Open Source Software or Stack Overflow are a plus. - Passion for beer and a strong commitment to dreaming big. At AB InBev, the future is built on the foundation of innovation, collaboration, and a shared passion for creating memorable experiences. If you are driven by the desire to make a difference and have a thirst for pushing boundaries, then AB InBev is the place where your aspirations can take flight.,

As a CIB Portfolio Management Manager at Wells Fargo, you will have the opportunity to manage and develop a team to provide portfolio management and underwriting support to the entire industry. Your responsibilities will include engaging with coverage officers and relationship managers to lead the credit approval process, identifying industry trends and managing risks and opportunities, making decisions regarding underwriting and relationship management strategies, interpreting policies for compliance requirements, and collaborating with various stakeholders to support the industry team. To be successful in this role, you should have at least 4+ years of CIB Portfolio Management experience and 2+ years of leadership experience. A degree in B. Com or equivalent along with an MBA in Finance, CFA, or CA is desired. You should possess strong functional experience in asset classes, credit analysis, underwriting, ratings analysis, portfolio management, debt research, corporate and structured finance. Additionally, expertise in financial statements, accounting policies, and strong communication skills are essential. Your job expectations will include providing expertise and coverage for supporting and growing the entire CDF business, collaborating with leadership teams, identifying industry trends, making timely decisions, leading transformation projects, talent acquisition and retention, and driving risk and governance initiatives. This role requires you to work in a fast-paced environment, independently and as part of a team, with flexibility to work in EMEA/partial US shifts as per business requirements. Your focus will be on ensuring an effective delivery and value-growth of the India CDF team while adhering to company policies, procedures, and ethical standards. If you are a motivated self-starter with strong interpersonal and leadership skills, and the ability to multitask across multiple deliverables, this role as a CIB Portfolio Management Manager at Wells Fargo may be the perfect fit for you.,

Position: Senior Python Developer Experience: 5-8 Years Location: Chennai About the Role: We are looking for someone who is passionate about writing clean, high-performance code and is excited by data-driven applications. The ideal candidate will bring strong expertise in Python and modern data processing libraries, with a proven track record of building and scaling backend systems. This role is perfect for someone who is proactive, quick to learn, and thrives in a fast-paced environment. Key Responsibilities: Design, develop, and maintain backend systems and APIs using Python and FastAPI. Work with data-centric libraries like pandas , polars , and numpy to build scalable data pipelines and services. Implement and manage asynchronous task scheduling using FastAPI schedulers or similar tools. Contribute to architectural decisions and mentor junior developers. Participate in code reviews, testing, and good at troubleshooting. Work closely with data teams and business stakeholders to understand requirements and deliver effective solutions. Continuously learn and adapt to new technologies and best practices. Must-Have Qualifications: 5-8 years of professional experience with Python . Proficient in pandas , polars , and numpy . Strong experience building APIs with FastAPI or similar frameworks. Hands-on experience with task scheduling and background job management . Excellent problem-solving and communication skills. A passion for learning and the ability to pick up new technologies quickly. Good to Have: Experience with C# in enterprise environments. Strong knowledge of SQL and experience with relational databases (e.g., PostgreSQL, SQL Server). Familiarity with Docker, data versioning, job orchestration tools, or cloud platforms.

Candidate with Strong Python Coding experience with AI Hands of experience.

Skill, Knowledge & Trainings: Knowledge of various OTC derivative products in all asset classes, especially in FX and Interest Rates. Hands-on experience of the OTC derivative products such as Forwards, Swaps, Options and various risk parameters associated with them. Practical experience of Dealing in these products (as a dealer) and marketing to Banks/Clients would be desired. Strong Project Management Skills for coordinating with other Business departments, Technology teams, external vendors to ensure that trading platforms meet the evolving needs of Interbank users. Sound Knowledge and hands-on experience of MS Excel, VBA coding, Python coding and other BI tools is desired. Strong Analytical and problem-solving skills, with keen attention to detail. Core Competencies: Sound understanding of features of OTC Derivative products and their market fundamentals and Regulatory guidelines Functional Competencies: Understanding how the Trading platforms work and the needs of the trader in Forex and Interest Rate Markets Knowledge of FIX protocol, Order Matching logics and low-latency trading infrastructure is a plus. Job Purpose: i. Managing day-to-day operations of the Derivatives department and ensure high availability of the Electronic Trading Platforms (ETPs). ii. Assisting the Department in development of new products and services in OTC Derivative Markets. iii. Preparation of Business Requirement Specification (BRS) documents for development of new products. iv. Oversee the design, development and UAT testing of ETPs. v. Marketing of such products to Banks/ Financial Institutions, Corporates, FPIs vi. Collaborate with cross-functional teams including Risk Management, Information Technology, Forex, Legal, Compliance etc.