7846 Artificial Intelligence Jobs - Page 30

The Team: The Private Markets Data Operations Team provides exceptional insights and analytics that empower clients in the private markets landscape. The purpose of this team is to generate unique market-leading data, ensuring accuracy, completeness, and timeliness. By leveraging innovative data collection and analytical techniques, we enhance transparency and deliver actionable insights that inform strategic decision-making. Our culture of innovation prioritizes Lean methodologies and automation to streamline processes and improve data integrity. Through strong stakeholder relationships and a deep understanding of market dynamics, we position ourselves as trusted partners, equipping clients with the intelligence needed to navigate opportunities and risks in a competitive environment. Responsibilities & Impact: In this leadership role, you will play a crucial part in advancing the team's objectives by overseeing both internal and external services, supporting team leaders and members, and ensuring operational excellence in maintaining datasets and content. This position offers the opportunity to lead a team of highly motivated individuals and contribute to achieving the teams goals. You will lead efforts to improve data accuracy, completeness, and timeliness through collaboration, innovation, and the execution of ad-hoc projects, with a focus on acquiring and collecting public and private data. Through strong stakeholder relationships and a deep understanding of market dynamics, we position ourselves as trusted partners, equipping clients with the intelligence needed to navigate opportunities and risks in a competitive environment. Responsibilities: Develop Data-Driven Strategies: Formulate and implement data-driven strategies that balance technical and product knowledge, collaborating with multiple teams to create best-in-class private markets solutions. Lead Data Quality Projects: Oversee and implement data quality projects that align with evolving business priorities, ensuring high standards of data integrity. Identify and Develop New Datasets: Identify opportunities for new datasets within the market landscape and support the development of strategies to incorporate them into existing frameworks. Foster a People-First Mindset: Demonstrate empathy and support team members, especially during challenging times, promoting a culture of well-being and collaboration. Motivate and Mentor Team: Encourage team motivation, facilitate career progression discussions, and execute succession planning to nurture talent within the team. Develop Technical Acumen: Enhance the technical skills of the team, preparing them for future growth and evolving industry demands. Set SMART Objectives: Establish SMART objectives for team members, actively manage performance, and communicate the Pay for Performance culture and its linkage to rewards. Monitor Team Performance: Track and communicate team performance metrics, including time utilization and quality statistics, while setting challenging benchmarks for resource efficiency. Mentorship: Mentor the team on industry trends and large-scale data projects, providing guidance on business initiatives. Project Execution: Manage short-term and long-term projects from resource planning to execution, collaborating closely with the Data Management team to ensure alignment and effectiveness. Stakeholder Management: Drive constructive conversations with the leadership team and stakeholders across various locations, ensuring alignment on goals and expectations. Promote Innovation through Lean & Automation: Advocate for a culture of innovation by understanding processes and workflows, generating ideas to eliminate content gaps and establish best practices. Foster a lean mindset to improve operational efficiency. Timely Execution: Ensure all critical timelines and requirements for business-as-usual workflows, KPIs, and projects are met, demonstrating problem-solving capabilities at all levels. Ambassador of Organizational Values: As a people leader, embody and promote the organizations values, culture, and strategic objectives, setting an example for the team. What we are looking for: Leadership Experience: Prior leadership experience in financial data services/alternative assets, with a strong focus on people management. Knowledge or experience in the alternative assets industry or financial services is preferred. Understanding of Market Dynamics: In-depth understanding of the mechanics of the private markets domain, with the ability to quantify trends impacting the industry and provide insightful analysis that can shape commercial decisions. Operational Management Skills: Proven operational management skills with a keen attention to detail, gained within a respected data company, ensuring effective oversight of data quality and performance. Performance Metrics Expertise: Experience in introducing and monitoring Key Performance Indicators (KPIs) and performance metrics, facilitating continuous improvement and accountability within the team. Feedback and Coaching Ability: Capacity to give and receive constructive feedback, providing coaching to team members to foster their professional growth and development. Exceptional Communication Skills: Exceptional oral and written communication skills, enabling clear articulation of complex data insights and fostering effective stakeholder engagement. Flexibility: Willingness to work across various shifts, including night shifts on a rotational or as-needed basis, demonstrating adaptability to meet business needs. Ethical Standards: Maintains high ethical standards both personally and professionally, ensuring transparency and integrity within the team. Team Collaboration: Strong collaboration skills with the ability to work effectively within cross-functional teams and build relationships with various stakeholders. Change Management Experience: Comfort with change management processes, adapting to evolving business needs and driving innovation within the team. Analytical Tools Proficiency: Familiarity with additional analytical tools or programming languages that enhance data analysis capabilities. Project Management Experience: Experience in managing projects from inception to completion, including the ability to prioritize tasks and manage resources effectively. Cultural Awareness: Understanding of cultural differences and the ability to navigate them effectively in a global work environment. Passion for Continuous Learning: Commitment to continuous learning and professional development in data analysis and emerging technologies. Results-Oriented Mindset: A results-oriented approach, focusing on achieving goals and delivering measurable outcomes. Preferred Qualifications: Extensive Experience: A minimum of 5 years of experience working closely with senior leaders and decision-makers, demonstrating the ability to influence and drive strategic initiatives. Relationship Building: Proven experience in establishing and nurturing trust with business heads, fostering long-lasting business relationships that benefit both the organization and stakeholders. Autonomy and Prioritization: Comfort with a high degree of autonomy, effectively managing priorities from multiple internal and external stakeholders to achieve organizational goals. Networking Skills: A demonstrated willingness and track record of building strong networks both internally and externally, enhancing collaboration and resource sharing. Technical Knowledge: Basic knowledge of SQL and Generative AI is desirable, providing a foundation for data analysis and innovative solutions. Data Visualization Proficiency: Familiarity with data visualization tools, enabling effective communication of insights through visual storytelling. Lean Methodology Certification: Possession of a Green Belt Certification and exposure to Lean concepts, indicating a commitment to process improvement and operational efficiency. Location - Hyderabad,Bengaluru,Mumbai,Maharastra,Gurugram

Salary : 25 to 40 LPA Exp: 4 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.

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.

Greetings ! I hope this email finds you well ! Im writing on behalf of RPS Consulting (An NIIT Subsidiary), an established provider of certified IT and soft skills/behavioral training. For over 15+ years, we have been helping many of the global fortune enterprises across India and the globe plan and execute their employee training programs. With reference to our discussion, we are currently looking for Freelance Trainer - Practical Generative AI Utilization Camp ~Advanced” training in Japanese language. Interested please Contact Mobile: +91 9840503181 | Email: priya.dharshini@rpsconsulting.in

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

The Team: As a member of the S&P Global Market Intelligence Technology team, you'll join a dynamic group of talented and ambitious engineers. Our software engineers are integral to the full lifecycle of our products, from design through release. You'll be expected to participate in the design, development, troubleshooting, and debugging of software programs to enhance existing products and develop new ones. Collaboration with QA Analysts, Business Analysts, and Infrastructure Teams will be key to your role. Impact: In this position, you'll be responsible for creating technical designs, developing high-performing web applications, and ensuring quality through a comprehensive testing process. You'll work with cutting-edge technologies, where innovation and delivery are rewarded. You will be part of the team that supports the search application on our company-wide product platform, providing essential information to the global finance industry and beyond. What's in it for you: We are currently seeking a Lead Software Developer who is enthusiastic about new and emerging search technologies. This role offers the chance to work alongside highly skilled search engineers, including experts in Data Science and Machine Learning. Responsibilities: Architect, design, and develop solutions within a multifunctional Agile team to support key business needs for the platform's search application. Design, implement, and test front-end solutions for the web platform application. Design, implement, and test middleware applications within the search application architecture. Engineer components and common services focused on integration with advanced AI systems. Collaborate with AI/ML teams to integrate next-generation reasoning and agent orchestration. Apply best practices in software engineering while leveraging automation throughout solution delivery. Collaborate and lead effectively with technical and non-technical stakeholders. Must be able to articulate technical solutions through documentation, diagrams, code comments, etc. Qualifications: Basic Qualifications: Bachelors degree in computer science, Information Systems, or Engineering. 9-12 years of significant experience in developing web applications and services. Proficiency in object-oriented design and design patterns. Experience in application development using mainstream programming languages and frameworks. Familiarity with autonomous AI systems and interest in AI planning tools. Experience in backend integration involving AI APIs. Solid experience in web development technologies. Minimum of 3 years of experience in working with search technologies. Knowledge of cloud computing platforms, containerization, and orchestration. Understanding of modern communication protocols. Experience with machine learning models for enhancing application features is advantageous. Proficient in Agile development methodologies including familiarity with test-driven or behavior-driven development approaches and related testing frameworks. Preferred Qualifications: Additional experience in application development using other programming languages and frameworks is beneficial. Familiarity with distributed systems and messaging protocols. Experience in handling large data volumes with applications/middleware.

Youll need to work closely with Data Scientists, Data Engineers, UI Engineers, Software Developers, and DevOps teams to design and implement end-to-end AI/GenAI solutions. You will: Be responsible for training, integrating, and deploying AI/GenAI/ML models in Azure/AWS ecosystem. Design and implement enterprise-quality AI/GenAI/ML applications. Optimize deployed models for performance, scalability, and efficiency. Debug and troubleshoot issues in AI/GenAI/ML pipelines and systems. Monitor model performance in production and retrain as necessary to maintain accuracy. Stay conversant with the latest trends, techniques, and tools in GenAI pipelines. Experiment with state-of-the-art methods and propose innovative solutions to complex problems. Excellent written and verbal communication skills required. Technical Skills: Excellent Python, PySpark, and SQL skills. Knowledge of GenAI stack is a big plus. Experience with Azure DevOps / AWS DevOps for ML projects, Databricks, CI/CD pipelines, and repositories. Experience with Azure/AWS MLOps/Kubeflow. Experience of training and deploying AI/GenAI/ML models into production environments and integrating them with existing systems. Knowledge of containerization tools like Docker, orchestration systems like Kubernetes, and inference platforms like Kserve / NVIDIA Triton. Knowledge of Azure / AWS ETL pipelines is a plus (but not mandatory). Soft Skills: Excellent written and verbal communication. Exceptional problem-solving and multitasking skills in a fast-paced environment. Experience Level: 8+ years of experience in ML Engineering.

About Guidesly: Do you enjoy the Outdoors? Are you an enthusiast who wants to work in a place where you can follow your personal and professional passions? Guidesly is a well-funded startup building software for the Outdoor industry. Mobile apps, SaaS software, product services, and websites; we have a bit of everything. Sophisticated technology and a dream to change the world. If your passion is the outdoors and you want to live your dream, then this is your job. Work with guides, build products, get honest feedback from enthusiasts to create the very best solutions in the marketplace. The outdoor recreation industry includes fishing, wildlife, boating, water sports, snow sports, hunting, ATV, hiking, and biking. We are starting with the fishing vertical in the outdoor recreation industry. The product manager will work with professional guides throughout the United States and enthusiasts in all fishing varieties. Key Responsibilities: Develop and deploy machine learning, deep learning and NLP models for AI applications. Process and analyze large datasets, including feature extraction, vectorization, and embedding-based retrieval. Build and maintain backend systems and APIs to support AI-powered applications. Implement scalable AI solutions in cloud environments, primarily AWS. Develop end-to-end pipelines for model training, testing, and deployment using AWS services such as SageMaker, Bedrock, Lambda, and Step Functions. Optimize AI models for efficiency, scalability, and low-latency inference. Implement MLOps best practices for continuous integration, deployment, and monitoring of AI models. Document system architecture, API specifications, and performance benchmarks. Stay up to date with advancements in AI, including LLMs, FAISS, and deep learning frameworks, to drive innovation. Required Skills & Qualifications: Hands-on experience in AI/ML development, with expertise in natural language processing (NLP) and/or computer vision. Proficiency in Python, SQL, and machine learning libraries such as TensorFlow, PyTorch, and Scikit-learn. Strong understanding of LLM architectures, embeddings, and transformer-based models. Hands-on experience processing large datasets, including feature engineering, embedding retrieval, and vectorization. Experience with Cloud Services (Preferably AWS) for model deployment, data processing, and cloud-based AI solutions. Strong grasp of MLOps principles, including CI/CD pipelines, model monitoring, and workflow automation. Strong analytical and problem-solving skills with a proactive approach to AI model optimization. Excellent communication and teamwork skills to collaborate effectively with engineers, data scientists, and stakeholders. Key Technologies & Tools: Languages & Frameworks: Python, SQL, TensorFlow, PyTorch, Hugging Face Data Processing & Feature Engineering: Vectorization, Embeddings, FAISS Cloud & AI Services: AWS SageMakerAI, Bedrock, Lambda, Step Functions, Inference MLOps & Model Deployment: CI/CD, Model Optimization, API Integration Workflow Automation & AI Infrastructure Key skills: Machine Learning, Deep Learning, Python, SQL, TensorFlow, PyTorch, Hugging Face, AWS SageMakerAI, Lambda, Model Optimization, API Integration, AI Infrastructure

At Teradata, you will play a crucial role as a Sr. Data Scientist by collaborating with the Region Solution Leads, Services sales teams, Teradata Account Teams, and Product Management Team to support them on pre-sales/solutions activities. Your responsibilities will include conceptualizing Use case solutions, supporting Pre-Sales initiatives, and demonstrating strong technical and interpersonal skills along with a deep understanding of Business use cases, Teradata technology, ClearScape Analytics, Teradata applications, Teradata services portfolio, and partner solutions. You will be expected to support account teams and prospective customers in analyzing and understanding customer requirements through extensive data exploration and analysis phases. Additionally, you will lead discussions and conceptualize solutions, develop collateral for engagement and sales, utilize Analytical tools and Deep Learning frameworks to deliver solutions, participate in brainstorming sessions, build solution showcases, and provide mentoring and guidance to Pre-sales opportunities based on customer requirements. As a qualified candidate, you should hold a minimum Bachelors Degree in Data Science, AI, Engineering, Computer Science, or Statistics, preferably a Masters or Doctorate in the relevant field. You are required to have 10+ years of experience in data-driven fields such as BI, DWH, Analytics, etc., with proficiency in programming languages like R, Python, Java, and SQL. A strong understanding of Statistical concepts, Machine Learning, statistical modeling, Artificial Intelligence, Deep Learning, and business understanding in fields like Telco, Retail, Manufacturing, Healthcare is essential. Your technical skill set should include experience with cloud computing platforms like Azure, AWS, Google, exposure to Teradata platform, and experience as a Technical Lead in presales support and delivery activities. You should possess a willingness to learn, collaborative attitude, strong analytical skills, ability to manage critical situations independently, story-building skills, critical thinking, problem-solving skills, excellent communication skills, and the ability to present complex ideas to technical and non-technical audiences effectively. At Teradata, we prioritize a people-first culture, embrace a flexible work model, focus on well-being, and are dedicated to Diversity, Equity, and Inclusion. Join us in fostering an equitable environment that celebrates the diversity of our people and enables personal and professional growth.,

Are you passionate about Artificial Intelligence and possess a strong background in Machine Learning, AI Image Generation, AI Video Generation, and Networking If so, AdvanceTech India Pvt. Ltd is seeking an AI Associate like yourself to join our innovative team! As an AI Associate at AdvanceTech India Pvt. Ltd, your key responsibilities will include developing and implementing cutting-edge AI solutions to enhance our products and services. You will collaborate with cross-functional teams to integrate AI technologies into various projects, conduct research to stay updated on the latest advancements in AI and machine learning, and utilize AI algorithms to optimize processes and improve efficiency within the organization. Additionally, you will assist in the development of AI-driven networking solutions for improved connectivity, support the deployment and maintenance of AI systems to ensure optimal performance, and provide training and guidance to team members on AI best practices and techniques. If you are a dynamic and driven individual with a passion for AI, we encourage you to apply and join us at AdvanceTech India Pvt. Ltd. Be part of a team that is shaping the future of technology. Take the next step in your AI career with us! About Company: AdvanceTech India Pvt. Ltd is a customized hardware and software designing IT Firm specializing in Audio/Visual/Weather monitoring/Sensing and Automation-based applications. With a wide range of experience and customers in sectors such as Railways, Agriculture, Coalfields, and Industrial automation, we are committed to innovation and excellence.,

As a software engineer at Google, you will be part of a team that develops cutting-edge technologies to revolutionize how billions of users connect, explore, and engage with information and each other. The scope of our projects extends far beyond web search, requiring the handling of massive amounts of data and the exploration of innovative solutions in various domains such as information retrieval, distributed computing, system design, networking, security, artificial intelligence, and more. We are seeking engineers who can contribute fresh perspectives and expertise to drive our technology forward. Your role as a software engineer will involve working on crucial projects that address Google's evolving needs. You will have the opportunity to collaborate with diverse teams and switch between projects as the business environment evolves rapidly. We value versatility, leadership qualities, and a proactive attitude towards tackling new challenges across the full technology stack. At Google, user experience is a fundamental consideration in our product development process. We prioritize creating intuitive, innovative, and visually appealing products that resonate with users. Our UX teams consist of designers, researchers, content strategists, and engineers who are dedicated to delivering high-quality, user-centric experiences. By understanding user needs, behaviors, and emotions, we aim to develop insights that shape our product strategies and designs. Our collaborative approach enables us to address complex problems and craft engaging experiences that highlight the unique features of our products while adhering to Google's core principle of prioritizing user satisfaction. Responsibilities: - Design, develop, and take ownership of key software components and features throughout the entire development lifecycle, including deployment and long-term maintenance. This involves utilizing modern front-end technologies like React and Angular, as well as backend systems. - Lead and participate in design and code reviews to ensure the delivery of high-quality, scalable solutions. Address technical debt and enhance engineering practices as needed. - Assume responsibility for reliability, security, privacy, documentation, and testing strategies within your work, maintaining excellent production standards and support. - Act as a technical liaison, collaborating with internal engineering teams, UX designers, and product owners to align technical strategies and deliver new features effectively. - Identify challenges and unmet requirements by translating user insights into technical specifications to enhance the overall user experience.,

The ideal candidate for this position should have a Bachelor's degree or equivalent practical experience and a minimum of 5 years of experience in software development using one or more programming languages. Additionally, the candidate should have at least 3 years of experience in testing, maintaining, or launching software products, with 1 year of experience in software design and architecture. It is also required to have 3 years of experience in Natural Language Processing (NLP) concepts and algorithms, along with experience in designing NLP solutions. Furthermore, the candidate should possess 3 years of experience in ML infrastructure, including model deployment, model evaluation, optimization, data processing, and debugging. Preferred qualifications for this role include a Master's degree or PhD in Computer Science or a related technical field, along with 5 years of experience in data structures and algorithms. Experience in a technical leadership role for at least 1 year and a background in developing accessible technologies are also desirable. As a software engineer at Google, you will be involved in developing innovative technologies that impact billions of users worldwide. The role requires working on projects that handle information at massive scale and cover various domains such as information retrieval, distributed computing, system design, networking, security, artificial intelligence, UI design, and mobile technologies. Google values engineers who can bring fresh perspectives and ideas to the table, demonstrate leadership qualities, and show enthusiasm for solving complex problems. Google Ads plays a crucial role in powering the open internet with cutting-edge technology that connects and adds value for users, publishers, advertisers, and Google. The team is responsible for creating advertising products across search, display, shopping, travel, video advertising, and analytics. By delivering trusted ad experiences, Google Ads helps businesses of all sizes achieve measurable results and engage with customers on a large scale. Key responsibilities for this position include writing and testing product development code, collaborating with peers and stakeholders for code reviews, contributing to documentation and educational content, triaging product issues, debugging and resolving technical problems, and designing and implementing NLP solutions leveraging ML infrastructure. In summary, the role of a software engineer at Google offers diverse opportunities to work on critical projects, collaborate with cross-functional teams, and contribute to cutting-edge technologies that drive the company's mission forward.,

As a Software Architect for IoT and Digitalization at Siemens in Goa, India, you will be part of a passionate team of solution innovators, UX devotees, techies, data scientists/AI experts, software lovers, AR/VR experts, visual artists, and architects, working in a lean startup concept. Together, we aim to solve complex problems across various domains such as industry, energy, mobility, and buildings to smart cities by leveraging data analytics, artificial intelligence, simulations, and interactive visualization. Your role will involve architecting end-to-end solutions for digitalization initiatives in IoT. You will be responsible for designing scalable, secure, and maintainable systems, enforcing architectural standards and best practices, leading system design discussions, and translating business requirements into technical specifications. Collaboration with cross-functional teams to ensure seamless integration of frontend and backend components, guiding teams in implementing performance-optimized solutions, and evaluating and recommending appropriate technologies will be key aspects of your responsibilities. To qualify for this role, you should hold a Masters or Bachelor's degree in Computer Science or a related discipline from a reputed institute, along with 12+ years of experience in software development, including at least 3 years in architectural/lead roles. Strong expertise in software architecture, system design, design patterns, and technologies such as Java Spring Boot, Python, Node.js, Angular, React, SQL, NoSQL databases, and microservices architecture is essential. Additionally, experience in cloud-native development, testing strategies, automation frameworks, security architecture, and DevOps culture will be beneficial. Your problem-solving, communication, leadership, and stakeholder management skills will play a crucial role in driving the technical roadmap, collaborating with globally distributed teams, and contributing to the resolution of field issues. If you are looking for an opportunity to work on cutting-edge technologies in a dynamic environment that values diversity and innovation, Siemens is the place for you. Join us in shaping the future and making a positive impact on the world.,

In this internship, we are looking for individuals who are proficient coders and can adeptly solve coding problems. You may be assigned tasks ranging from simple to moderate complexity; however, the key aspect lies in your ability to articulate and explain the code you produce, enabling learners and developers worldwide to comprehend and learn from it. This opportunity will not only enhance your coding skills but also contribute to your research experience. As a Beginner and Intermediate Programmer, you will have the chance to work on assignments and projects of varying difficulty levels, which will allow you to uncover your hidden potential and evolve into a better version of yourself. The internship is entirely remote, offering you the flexibility and convenience of working from home. We prioritize project completion within the specified timeframe over monitoring your working hours. Minimum qualifications required for this role include a degree in Computer Science or a related technical field, or equivalent practical experience. Proficiency in coding using languages such as C, C++, Java, JavaScript, or Python is essential. Preferred qualifications involve experience in various domains such as Algorithms, Artificial Intelligence, Database, Data Mining, Distributed Systems, Machine Learning, Networking, or Systems. A strong foundation in computer science principles, encompassing data structures, algorithms, and software design, is highly valued. Proficiency in Python or JavaScript/AJAX, along with expertise in database design, SQL, and TCP/IP networking, is beneficial. The ability to work independently is also a key requirement. Selected interns will be responsible for: 1. Designing and implementing machine learning, information extraction, probabilistic matching algorithms, and models. 2. Leveraging programming skills and deep learning/AI expertise using Python, TensorFlow, and frameworks like Keras and PyTorch to address real-world challenges. 3. Developing AI solutions in the computer vision domain through the use of convolutional neural networks (CNN) and a blend of deep neural networks like CNN & RNN. 4. Solving object detection, recognition, and image classification issues using machine learning, deep learning algorithms, transfer learning methods, and techniques. 5. Employing innovative and automated strategies for data annotation, labeling, and augmentation, as well as active learning. 6. Providing online code assistance, code mentoring, and education-focused solutions. Ideal candidates for this position: - Should be available for a full-time (in-office) internship - Must commence the internship from 15th Jun'20 - Should commit to a duration of 6 months - Need to possess relevant skills and interests Perks of this position include a Certificate, Letter of recommendation, Flexible work hours, an Informal dress code, working 5 days a week, and access to Free snacks & beverages.,

We are looking for an Android Developer who can work independently and collaboratively with other app development and technical teams. As an Android Developer, you will be responsible for owning end-to-end feature development using the latest architecture and design patterns. Your role includes writing secure and performant code by closely collaborating with product, UX/UI, and backend teams. Additionally, you will be tasked with building reusable libraries, toolkits, and developer tools for usage across multiple mobile teams. Minimum qualifications for this role include a degree in Computer Science or a related technical field, or equivalent practical experience. Proficiency in coding in programming languages such as C, C++, Java, JavaScript, or Python is required. Preferred qualifications for the Android Developer position involve experience in various technical domains like Algorithms, Artificial Intelligence, Database, Data Mining, Distributed Systems, Machine Learning, Networking, or Systems. Proficiency in Object-Oriented Programming, a strong foundation in computer science with competencies in data structures, algorithms, and software design, coding skills in Python or JavaScript/AJAX, database design and SQL, and knowledge of TCP/IP and network programming are highly desirable. As an Android Developer, your role and responsibilities will encompass: - Understanding Google Android design principles and interface guidelines - Collaborating with cross-functional teams to define, design, and ship new features - Working with outside data sources and APIs - Unit-testing code for robustness, including edge cases, usability, and general reliability - Bug fixing and improving application performance - Implementing RESTful APIs to connect Android applications to back-end services - Designing and developing project ideas - Building and publishing applications in app stores - Creating and extending knowledge about the fast-moving Android mobile platform - Designing and developing advanced applications for the Android platform In return for your contributions, we offer perks such as certificates, letters of recommendation, flexible work hours, and potential job offers. If you have a passion for Android development and possess the necessary technical skills, we encourage you to apply and join our dynamic team.,

As an AI Engineer at our company, you will utilize your expertise in Python and machine learning to develop, train, and optimize AI models. Working within the AI & Data Science department, you will collaborate with various teams to create scalable solutions and enhance the performance of machine learning systems in production environments. Your responsibilities will include designing and optimizing machine learning models using Python and modern frameworks, collaborating with cross-functional teams to define AI solution requirements, and performing data preprocessing and feature engineering to prepare datasets. You will also be involved in model training, validation, and performance evaluation, tuning hyperparameters, and experimenting with model architectures to improve accuracy and efficiency. Documentation of model workflows, methodologies, and code for transparency and reproducibility will be essential. You will assist in deploying AI models to production, monitor their performance, and refine them over time. Staying updated on the latest research papers, tools, and best practices in AI and machine learning will be crucial, along with participating in code reviews and maintaining high standards for clean and maintainable code. In addition to a strong proficiency in Python with a focus on AI/ML development, you should have a solid understanding of machine learning algorithms such as regression, classification, clustering, and deep learning. Experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn is required, along with proficiency in data preprocessing, feature engineering, and model evaluation metrics. Familiarity with Jupyter Notebooks, collaborative development tools like Git, and strong problem-solving skills are also necessary for this role. Desirable skills include experience with model deployment tools and platforms like Docker, Flask, FastAPI, and AWS SageMaker, knowledge of MLOps practices, and familiarity with NLP, computer vision, or time series modeling. An understanding of distributed computing frameworks, experience with experiment tracking tools like MLflow or Weights & Biases, and exposure to cloud services for AI model development and deployment are advantageous for the position. If you possess the required skills and are passionate about leveraging AI and machine learning to drive innovation, we encourage you to apply for the AI Engineer position at our company.,

As a Lead Software Engineer at JPMorgan Chase within the Consumer & Community Banking Team, you play a crucial role in an agile team dedicated to enhancing, building, and delivering trusted market-leading technology products with a focus on security, stability, and scalability. Your responsibilities include executing creative software solutions, designing, developing, and troubleshooting technical issues with an innovative mindset. You are expected to develop high-quality, secure production code, review and debug code by team members, and identify opportunities to automate remediation processes for enhanced operational stability. In this role, you will lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs and technical applicability within existing systems. Additionally, you will drive awareness and adoption of new technologies within Software Engineering communities, contributing to a diverse, inclusive, and respectful team culture. To excel in this position, you should possess formal training or certification in software engineering concepts along with at least 5 years of practical experience. Strong proficiency in database systems, including SQL & NoSQL, and programming languages like Python, Java, or Scala is essential. Experience in data architecture, data modeling, data warehousing, and data lakes, as well as implementing complex ETL transformations on big data platforms, will be beneficial. Proficiency in the Software Development Life Cycle and agile methodologies such as CI/CD, Application Resiliency, and Security is required. An ideal candidate will have hands-on experience with software applications and technical processes within a specific discipline (e.g., cloud, artificial intelligence, machine learning) and a background in the financial services industry. Practical experience in cloud-native technologies is highly desirable. Additional qualifications such as Java and data programming experience are considered a plus for this role.,

About the job: Key responsibilities: 1. Gain hands-on experience with diverse generative and automation AI tools and platforms such as LLMs, generative AI, and automation frameworks 2. Build and showcase a portfolio or projects demonstrating proactive experimentation, problem-solving, and innovative AI applications 3. Cultivate insatiable curiosity and a self-driven learning mindset to quickly master new technologies and articulate their strategic value 4. Maintain high energy, an entrepreneurial spirit, and a passion for pushing boundaries in the AI domain Who can apply: Only those candidates can apply who: have minimum 1 years of experience Salary: ₹ 2,40,000 - 3,60,000 /year Experience: 1 year(s) Deadline: 2025-08-23 23:59:59 Other perks: 5 days a week Skills required: Automation, Artificial intelligence, Generative AI Tools and AI Image Generation Other Requirements: 1. Gain hands-on experience with diverse generative and automation AI tools and platforms, including LLMs and automation frameworks 2. Build and demonstrate a portfolio showcasing proactive experimentation, problem-solving, and innovative AI applications 3. Develop insatiable curiosity and a self-driven learning mindset to quickly master new technologies and articulate their strategic value 4. Maintain high energy, an entrepreneurial spirit, and a passion for pushing boundaries in the AI domain About Company: We are a collective of passionate leaders taking a strategic look at ending all forms of animal harm. Our platform is inspired by the principles of effective altruism that connect donors with implementation partners and on-ground NGOs. We don't limit ourselves to fundraising but also ensure effective deployment to ensure maximum impact.

As an AI Leader at CGI, you will be responsible for driving the company's AI initiatives, promoting the use of AI technologies, and influencing internal and external stakeholders on AI innovations and capabilities. With 15-20 years of hands-on AI experience, you will play a key role in translating complex AI concepts into business value, engaging with industry leaders, clients, and communities, and leading the strategic direction for AI at our organization. Your key responsibilities will include promoting AI technologies within the company and the broader community, defining the AI vision and strategy with executives, and architecting, developing, and deploying AI-driven solutions. You will collaborate with cross-functional teams, contribute to the AI community through publications and research, and provide training and mentorship to junior AI professionals. To excel in this role, you should have 13+ years of hands-on experience in AI, machine learning, and deep learning, along with a Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field. Proven leadership skills, expertise in AI algorithms and programming languages such as Python, strong communication abilities, and a passion for AI innovation are essential. Additionally, a deep understanding of how AI can drive business value, knowledge of AI trends and best practices, and experience in delivering presentations at industry events will be beneficial. Experience in AI product management, involvement in AI-related publications or patents, familiarity with cloud-based AI solutions, and behavioral competencies like process efficiencies, clear communication, and teamwork are considered advantageous. Join CGI, one of the largest IT and business consulting services firms globally, where ownership, teamwork, respect, and career growth are valued. As a CGI Partner, you will contribute to meaningful insights, develop innovative solutions, and shape your career with the support of leaders who care about your well-being and professional development.,

You will be responsible for supporting various stages of consulting engagements, from concept development to solution delivery, with a focus on developing your skills and experience. You will engage in discussions on business outcomes and value propositions, specifically related to artificial intelligence and smart operations. Your tasks will include developing and executing AI and machine learning strategies to enhance operational efficiency, contributing to agile execution of advisory projects, and actively seeking opportunities to deliver client value. Additionally, you will contribute to the analysis, design, and implementation of digital transformation initiatives, build strong client relationships, and create practical roadmaps for technological advancement. To qualify for this position, you should have a degree in Engineering (Chemical, Mechatronic, Electrical, Mechanical, Computer Science) or a related professional field, with an MBA from a recognized institution being preferred. You are required to have a minimum of 8-10 years of experience in industrial digitalization and transformation (or 6 years with an MBA), preferably with previous experience at management consulting firms, technology companies, or major industrial organizations. Expertise in artificial intelligence, digital transformation, and industrial operations is essential, along with experience in implementing or consulting on Digital Transformation projects related to Engineering and Operations. Hands-on experience with technology projects and various digital solutions from technology providers like Siemens, Honeywell, AVEVA, Bentley, Hexagon, ABB, Yokogawa, or equivalent is highly valued. You should possess excellent communication skills, emotional intelligence, analytical abilities, and problem-solving skills. Experience with agile project delivery methodologies and the ability to work effectively with stakeholders at all organizational levels are also required. Wood is a global leader in consulting and engineering, dedicated to providing solutions to critical challenges in energy and materials markets. Operating in 60 countries and with approximately 35,000 employees, Wood offers consulting, projects, and operations solutions. For more information, visit www.woodplc.com.,

We are seeking a mechanical engineering professional with a solid technical background and a growth mindset to educate individuals on Industry 4.0 skills. These skills include 3D printing, CAD modeling, design optimization, generative design, and basic AI and ML programming in Python. This position offers a unique opportunity to merge mechanical expertise with emerging digital technologies and equip learners for the future of manufacturing. Whether you are a seasoned engineer or a recent graduate with a passion for design and digital manufacturing, we are committed to supporting your development through structured training and mentorship. If you have a passion for teaching, a curiosity to explore new technologies, and the ability to lead with clarity and creativity, we would be thrilled to have you join our team. The selected educator will be responsible for conducting assessments, grading students, and providing constructive feedback. Extensive training and onboarding will be provided post-selection, making enthusiasm for teaching and a willingness to learn essential qualities for the role. Key responsibilities include delivering interactive sessions on various topics such as 3D Printing technologies, CAD Modeling, Slicing tools, Generative Design techniques, Industrial IoT basics, Artificial Intelligence applications, and simple Python data tasks. Essential Qualifications: - A Bachelor's degree in Mechanical Engineering, Mechatronics, or a related field - Proficiency in CAD tools like Fusion360, SolidWorks, or similar software - Familiarity with 3D printing workflows and STL formats - Basic knowledge of any programming language - Strong communication skills and a desire to engage with learners Professional attributes we value: - Quick learner who is open to upskilling through our onboarding program - Team player who collaborates effectively with content and academic teams - Effective communicator capable of simplifying complex ideas - Self-driven and adaptable individual able to handle diverse learner profiles - Detail-oriented with a focus on assessing and scoring learners impartially If you meet the above qualifications and are excited about this opportunity, please send your resumes to herur.prakash@gmail.com.,

Short Description: Role: We are currently hiring for the position of Director, who will serve as the owner and strategic leader of a multidisciplinary team comprising data scientists, data engineers, and software engineers. This role will oversee all stages of analytics services and product development, including: Defining and framing business problems Identifying relevant data sources Designing and developing analytical models Validating model performance and effectiveness Leading product deployment and launch initiatives This is a high-impact leadership opportunity to shape the future of data-driven decision-making at Ford. Scope: Drive AI and Analytics innovation for Finance Modernization Responsibilities: Provide strategic leadership and oversight for the Finance and Insurance Analytics teams located in the U.S. and India. Drive Finance modernization initiatives within the Global Data Insight and Analytics (GDIA) organization. Deliver actionable insights through clear, compelling communication with business stakeholders and executive leadership. Foster effective collaboration and negotiation across all levels of the organization to achieve business outcomes. Partner with Product Line Owners to generate demand and align requirements with broader business objectives. Establish priorities, allocate resources, and ensure high-quality and timely delivery of all associated projects. Act as a key liaison for technical collaboration between Finance and Insurance Analytics and other GDIA departments including DPE, AIAC, ISA, and SSDA. Lead strategic optimization of team resources and budgetary planning. Anticipate future business needs and translate them into actionable initiatives and analytics projects. Oversee recruitment, onboarding, and professional development of team members to foster a high-performing, diverse workforce. Actively participate in hiring efforts and promote diversity, equity, and inclusion across the department. Manage purchased service engagements to support Finance and Insurance Analytics activities and delivery. Qualifications: Masters/bachelor’s degree in engineering or quantitative field. Proven hands-on expertise in Artificial Intelligence , with deep domain knowledge of Finance Modernization strategies and initiatives Skilled in leveraging big data technologies including SQL, Spark, and Hive to drive business insights Extensive experience with Google Cloud Platform and associated tools such as Python, Spark, Dataflow, BigQuery, GitHub, Qlik Sense, CPLEX, Mach1ML, and Power BI Demonstrated success in developing and deploying analytical models within cloud-based environments, particularly GCP Well-versed in advanced AI disciplines including Natural Language Processing (NLP) , Deep Learning , and modern neural network architecture such as CNNs, RNNs, Embeddings, Transfer Learning, and Transformers Strong capabilities in business engagement , with a track record of translating complex problems into structured, impactful solutions Known for a meticulous attention to detail and a strong drive toward continuous improvement Adept at balancing innovation and analytical rigor , applying logical, methodical problem-solving approaches to dynamic challenges Highly articulate and credible communicator with strong presentation and interpersonal skills, able to influence at all levels of the organization Effective at managing multiple priorities , while maintaining high-quality outputs in fast-paced environments Desired: Extensive experience in Finance Analytics, encompassing data-driven financial insights, forecasting, performance analysis, and strategic decision support.

We are seeking a skilled and passionate .NET AI & ML Developer to join our technology team. The ideal candidate will have strong experience in .NET/.NET Core development with a focus on integrating Artificial Intelligence (AI) and Machine Learning (ML) solutions into real-world applications. You will work closely with cross-functional teams to develop, train, and deploy AI/ML models using technologies like OpenCvSharp, ONNX Runtime, and C#. Key Responsibilities: Design, develop, and maintain .NET/.NET Core applications with AI & ML capabilities. Build, train, and deploy machine learning models using ONNX Runtime and other modern frameworks. Work with OpenCvSharp to integrate image and video processing into .NET-based applications. Apply ML principles in software development, including model serialization, inference, and optimization. Collaborate with data scientists, software developers, and product managers to deliver intelligent features. Ensure high-quality code that is maintainable, scalable, and aligned with best practices. Implement dependency injection, modular architecture,and clean code principles. Participate in code reviews, architecture discussions, and continuous improvement efforts. Required Skills & Qualifications: Proven experience in .NET Framework and .NET Core development. Proficiency in C# programming language. Solid understanding of AI/ML fundamentals, model training, deployment, and serialization. Experience with OpenCvSharp or similar .NET image processing libraries. Strong knowledge of ONNX Runtime and deploying machine learning models in production. Experience integrating ML models into real-time or offline applications. Understanding of dependency injection and modern architectural patterns. Ability to write clean, efficient, and maintainable code. Excellent problem-solving, analytical, and communication skills. Preferred Qualifications: Bachelors or Master’s degree in Computer Science, Engineering, AI/ML, or a related field. Experience working in Agile/Scrum developmentenvironments. Exposure to cloud platforms like Azure or AWS for ML model deployment. Familiarity with RESTful APIs and microservices architecture.

As a Data Scientist at Clari5.ai, you will be an integral part of our specialist team dedicated to Artificial Intelligence & Machine Learning. Your role involves defining, prototyping, and implementing data science models and algorithms that contribute to our innovative product. From data collection to model building to monitoring the model in production, you will take ownership of the entire process. Collaborating with product managers and domain experts, you will drive the business outcomes and metrics influenced by the data science solutions. Working closely with the product managers and engineering team, you will establish best practices and standards for the team. Additionally, you will have the opportunity to mentor junior colleagues and conduct internal workshops to foster a culture of data-driven decision making within the organization. To excel in this role, you should have 3-8 years of experience in model building, along with a strong foundation in mathematics relevant to data science such as probability, statistics, and linear algebra. Your ability to translate business challenges into technical problems solvable through data, mathematics, statistics, and machine learning is crucial. Previous experience in executing 2-3 end-to-end machine learning projects is essential. Proficiency in either R or Python is a must, coupled with hands-on experience working with SQL databases. Familiarity with handling large datasets from diverse sources is advantageous, as is a conceptual understanding of big data technologies like Hadoop, HDFS, and Spark. Prior exposure to Natural Language Processing, Recommender Systems, or Social Network Analysis will be highly valued. In terms of education, a Bachelor's degree or equivalent combination of education with at least 3 years of experience is required. A Bachelor's degree in Computer Science or a Master's in Mathematics/Statistics is preferred. Join us at Clari5, an industry leader in Financial Crime Risk Management Systems, recognized for our innovative solutions and expertise in combating financial fraud. Be part of a dynamic global team driving real-time, cross-channel banking Enterprise Fraud Management using cutting-edge AI technology. If you are passionate about data science and eager to contribute to a market-leading organization, we invite you to apply and become a key player in our mission to revolutionize fraud management strategies worldwide.,

As a Member Technical Staff I at Adobe, you will be an integral part of our engineering team in Bengaluru, collaborating with a talented group to work on impactful global projects. Your role involves developing and programming software algorithms to analyze and utilize data effectively in various environments. You will be responsible for communicating insights and algorithms clearly, employing machine learning and statistical modeling techniques to enhance system performance, and translating technical specifications into efficient code using current programming languages. Testing, debugging, and ensuring software quality are crucial aspects of your responsibilities, along with documenting installation and maintenance procedures for developed systems. Additionally, you will apply deep learning technologies to enable computers to understand and respond to complex scenarios and adapt machine learning to interactive products such as virtual reality, augmented reality, and robotics. Your qualifications should include proven experience in software algorithm development, a strong grasp of machine learning and deep learning technologies, proficiency in programming languages, and the ability to work with large-scale computing frameworks and data analysis systems. If you are a problem-solver with attention to detail, excellent communication skills, and the ability to collaborate effectively in a team-oriented environment, we invite you to join Adobe. Be part of a team dedicated to shaping the future of digital experiences and contributing to innovative projects that make a difference globally.,