8 Opensource Contributions Jobs

As a Senior Consultant at Accenture AI, you will be a key member of our Banking team, utilizing your expertise in Generative AI models, Machine Learning, Data Analysis, and Cloud Platforms to drive innovation and enhance our AI capabilities. Your primary responsibility will be to collaborate with various teams to design, develop, and implement generative AI solutions that cater to our business requirements. You will work closely with product managers, engineers, and stakeholders to understand project requirements and deliver impactful AI solutions. Your tasks will include containerizing and deploying generative AI models using tools like Docker, Kubernetes, and cloud platforms such as AWS, Azure, and Google Cloud. You will also design, develop, and deploy robust APIs to expose generative AI models like GPT, DALLE, Stable Diffusion, and GANs for integration into client systems and applications. Client collaboration is a crucial aspect of this role, as you will be required to understand client technical requirements and deliver tailored API solutions that align with their business needs. Integrating generative AI models into existing workflows, optimizing API performance, building data pipelines, ensuring security and compliance, creating comprehensive API documentation, and developing testing and monitoring frameworks are among the key responsibilities you will handle. To excel in this role, you must possess at least 3 years of experience in Data Science and Machine Learning, with a specific focus on Generative AI models. Proficiency in Python programming, experience with machine learning frameworks like TensorFlow and PyTorch, expertise in API development and deployment, knowledge of security best practices, and strong problem-solving skills are essential requirements. Additionally, staying updated on the latest advancements in generative AI, API development, and cloud technologies is crucial to bring innovative solutions to our clients. Furthermore, having experience in large-scale data processing, expertise in NLP or computer vision, contributions to open-source AI/ML projects, familiarity with cloud integrations, big data technologies, and performance optimization, as well as knowledge of security standards and regulatory compliance in AI solutions will be advantageous in this role. If you are a motivated and talented individual with a passion for Generative AI and a desire to drive innovation in the field of AI, we encourage you to apply and join our dynamic team at Accenture AI.,

As a Senior .NET Software Engineer at our company, you will play a vital role in developing and enhancing the DRMM solution. This solution involves deploying an agent on various platforms like Windows, macOS, and Linux to communicate with our cloud service in AWS, enabling efficient remote device management for our global customers. One of the key aspects of our service is the remote control functionality, which empowers administrators to seamlessly manage devices. You will be an essential part of the team working on the next-generation Web Remote tool, a browser-based application developed using F# and Fable. This tool allows users to connect and control desktops from anywhere worldwide, ensuring superior real-time performance and reliability. To excel in this role, you should have a minimum of 7 years of experience in developing using C# and/or F#, along with a solid understanding of .NET concepts. You must have a proven track record in developing applications for Windows environments and hands-on experience with cloud platforms like AWS and/or Azure. Proficiency in automated testing frameworks, version control systems, CI/CD pipelines, and problem-solving skills are crucial for success in this position. Additionally, you should be highly motivated, adaptable, and possess excellent communication skills to collaborate effectively with the team. Experience with real-time communication technologies, remote control software development, video streaming, frontend development, and open-source contributions would be considered a bonus. If you are passionate about innovative software development, have a keen eye for detail, and thrive in a dynamic environment, we welcome you to join our team and contribute to building cutting-edge solutions for our customers.,

As an iOS Developer at Medallia, you will be part of a dynamic team dedicated to creating high-quality native SDKs for iOS. Your primary responsibility will be to design, develop, and maintain iOS SDKs using Swift. Collaboration with product managers, designers, and engineers is key to implementing new features and ensuring SDK compatibility across various iOS versions and devices. You will be focused on delivering robust, scalable, and high-performing SDKs that enhance the developer and user experience. Troubleshooting technical issues, optimizing performance, and staying up-to-date with Apple technologies are essential aspects of this role. To qualify for this position, you should have a minimum of 4 years of professional experience in iOS development using Swift. A strong understanding of iOS frameworks such as UIKit, Foundation, and Core Data is required. Experience with architectural patterns like MVVM, MVC, or VIPER, as well as dependency managers like CocoaPods or Swift Package Manager, is essential. Proficiency in working with RESTful APIs, networking libraries like URLSession or Alamofire, and writing unit and UI tests using XCTest are necessary skills for this role. Problem-solving abilities, attention to detail, and a desire to optimize performance are also crucial. Desired skills include experience in building and maintaining mobile SDKs, knowledge of SwiftUI and Combine frameworks, familiarity with Apple's Core frameworks, and CI/CD pipelines for iOS development. Understanding performance optimization techniques, open-source contributions, and exposure to hybrid frameworks like Flutter or React Native would be advantageous. This role is based remotely in Pune, and candidates are required to reside within the Pune metropolitan area. Relocation support is not available at this time. Join us at Medallia and be part of a team that empowers exceptional people to create extraordinary experiences together.,

We are seeking a skilled Machine Learning Engineer / Data Scientist with specialized knowledge in ML, NLP, and Large Language Models (LLMs). The perfect candidate should possess over 4 years of experience in ML/NLP and a minimum of 1 year of practical exposure to LLMs, particularly in fine-tuning, RAG, and AI-driven agents. Your primary responsibilities will include refining and optimizing LLMs such as GPT, LLaMA, and Mistral, as well as creating AI agents utilizing CrewAI, LangChain, and AutoGPT. Additionally, you will be tasked with constructing and improving RAG pipelines using FAISS, Pinecone, and Weaviate, working on various NLP models like text classification, summarization, and NER, and staying abreast of the latest advancements in LLM technology. To excel in this role, you should have at least 4 years of experience in ML/NLP and a minimum of 1 year in LLMs, be proficient in Python, PyTorch, and TensorFlow, possess expertise in LLM fine-tuning methods such as LoRA, PEFT, and QLoRA, and have practical experience with AI agents and RAG tools. Desirable qualifications for this position include familiarity with multi-modal AI applications like text-to-image and speech-to-text, knowledge of contrastive learning and RLHF, and a background in open-source contributions or AI publications. This opportunity has been presented by Aarushi Madhani on behalf of FiftyFive Technologies.,

As a Lead Power Management Engineer, you will be responsible for driving the development of power-efficient embedded systems on Android and Linux platforms. Your role will involve designing, developing, and optimizing device drivers and board support packages (BSP) to enhance power performance and system stability across various hardware platforms. You will work closely with cross-functional teams, including hardware, systems, and application engineers, leading debugging efforts, performing code reviews, and mentoring junior developers. Key Responsibilities: - Lead the design and implementation of power management strategies for Android and Linux-based systems. - Develop and maintain Linux kernel drivers and BSPs focused on power efficiency. - Implement kernel-level features such as CPU frequency scaling, suspend/resume, and thermal management. - Diagnose and resolve issues related to battery life, thermal limits, and power bottlenecks. - Collaborate with hardware teams to evaluate schematics and optimize system-level power features. - Contribute to board bring-up, debugging, and performance tuning. - Guide and mentor a team of embedded engineers, review code, and enforce best practices. - Stay updated with the latest power optimization technologies and embedded systems advancements. Required Skills & Experience: - 5+ years of experience in embedded software development with a focus on power management. - Proficiency in C/C++, especially for Linux kernel and driver development. - In-depth knowledge of Linux kernel architecture and device drivers. - Hands-on experience with power management on Android/Linux platforms. - Experience working with ARM-based SoCs and board-level debugging tools (e.g., JTAG, oscilloscopes). - Familiarity with BSP development, system bring-up, and low-level debugging. - Strong problem-solving, debugging, and analytical skills. - Excellent leadership, communication, and collaboration abilities. Preferred Skills: - Experience with RTOS environments. - Familiarity with Android HAL and Android power subsystems. - Proficiency in profiling and optimization tools (e.g., perf, ftrace, powertop). - Background in open-source contributions. - Scripting experience (Python, Bash, etc.) for automation and testing.,

As the Lead AI Strategist & Architect at DivyaSree's AI Division, you will drive early-stage AI vision and system design to establish a foundation for scalable AI adoption. The AI Division at DivyaSree is a dynamic startup within the organization, focused on reshaping real estate, education, and hospitality through AI innovation. You will play a pivotal role in defining the high-level AI roadmap, architecting secure and scalable AI systems, and leading the development of AI solutions for internal workflows and customer-facing tools. Your responsibilities will include setting up data pipelines, cloud infrastructure, and MLOps practices while also focusing on research, IP creation, team building, and ecosystem partnerships. To excel in this role, you should have at least 7 years of experience in developing and deploying AI/ML solutions in production environments. Proficiency in multiple AI domains such as NLP, computer vision, and generative AI is essential, along with a strong software engineering background and expertise in Python and relevant AI frameworks. Experience with cloud platforms and MLOps practices is also required. Preferred qualifications include an advanced degree in AI, Machine Learning, or a related field, hands-on experience with generative AI, LLMs, and agent-based systems, as well as contributions to open-source projects or research publications in AI-related fields. Knowledge of data privacy, security, and ethical considerations in AI implementation is also beneficial. In return, DivyaSree offers a unique opportunity to lead the AI vision from day zero, influence both business and tech decisions, work on cutting-edge projects, receive full support from leadership, and have the chance to make a significant impact on the AI ecosystem in India. Join us in building a bold future in AI innovation and be part of a team committed to creating lasting change through technology.,

You should have a Bachelors degree in Computer Science, Electrical Engineering, or a related field. A strong understanding of computer vision fundamentals including image processing and feature extraction is required. Experience with machine learning frameworks like OpenCV, TensorFlow, PyTorch, or Keras is essential. Proficiency in Python and relevant libraries such as NumPy, SciPy, and Matplotlib is expected. Basic knowledge of deep learning models like CNNs, RNNs, and transformers is necessary. Familiarity with model architectures such as ResNet, YOLO, SSD, and U-Net is preferred. You should have an understanding of algorithms, data structures, and relevant mathematical concepts. Knowledge of cloud platforms like AWS and GCP, as well as edge computing frameworks, is a plus. Experience with GPU computing using CUDA and cuDNN is beneficial. Previous hands-on experience in computer vision projects or open-source contributions would be desirable for this role.,

You are a talented and motivated Generative AI Data Scientist Lead sought by Accenture AI to join the Banking team. Leveraging your expertise in Generative AI models, Machine Learning, Data Analysis, and Cloud Platforms, you will drive and lead the development and delivery of innovative solutions to enhance AI capabilities. Collaborating with cross-functional teams, you will design, develop, and implement generative AI solutions to meet business needs. Your key responsibilities will include: - **Independent Project Leadership**: Taking ownership of end-to-end project delivery with minimal supervision. - **Pod Leadership**: Leading and mentoring a small development pod of data scientists and engineers to ensure collaboration and timely delivery of high-quality solutions. - **Model Development**: Designing, developing, and deploying state-of-the-art generative AI models for various applications. - **Strategy Development**: Providing strategic recommendations to clients on integrating generative AI into workflows. - **Ethical AI Practices**: Ensuring responsible use of generative AI by addressing biases and compliance with regulations. - **Performance Evaluation**: Developing metrics to assess generative models" performance. - **Collaboration**: Working closely with stakeholders to understand requirements and deliver impactful AI solutions. - **Research and Innovation**: Staying updated with advancements in generative AI and applying knowledge to improve models. - **Mentorship**: Guiding and mentoring junior team members to foster a culture of innovation and learning. You should possess: - **6+ years of experience** in Data Science, Machine Learning, or related fields with a focus on Generative AI models. - Proficiency in **Python programming** and experience with **machine learning frameworks** like TensorFlow, PyTorch. - Hands-on experience with **cloud platforms** (AWS, GCP, Azure) for deployment and solution building. - Ability to work with **Docker, Kubernetes, and API Development** for deploying generative AI models. - Strong analytical, problem-solving, and critical thinking skills. - Expertise in **ethical AI practices** and understanding of biases and regulations in Generative AI. - Excellent verbal and written communication skills to convey complex concepts clearly. Additional qualifications include experience in large-scale data processing, NLP, computer vision, contributions to open-source AI/ML projects, cloud integrations, and performance optimization. Leadership experience in guiding teams and managing AI projects is also desired. This position requires a **minimum of 6 years of experience** in Data Science, Machine Learning, or related fields, along with a **Masters or Ph.D.** in Computer Science, Data Science, Statistics, or a related field.,