Logitech

Principal Audio ML Engineer

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Audio DSP + TinyML Engineer | Logitech Bring innovation to sound. Design real-time ML solutions that shape the future of audio experiences. --- Company: Logitech Location: Hybrid (Remote-Friendly) Team: Hardware Audio DSP and ML Role Type: Full-time --- About the Role Logitech is where you’ll find purpose, freedom, and impact. As part of our Hardware Audio DSP & ML team, you’ll develop and implement real-time embedded audio ML solutions that redefine what customers hear and feel. We’re looking for a seasoned technical leader with deep knowledge of TinyML, embedded systems, and audio signal processing to deliver game-changing performance on constrained hardware platforms. --- Your Contributions - Develop neural network inference solutions on resource-constrained embedded platforms (Tensilica DSP, ARM, RISC-V) - Optimize real-time audio ML algorithms to perform in noisy and variable environments - Collaborate with cross-functional product teams to ensure seamless audio experiences - Lead and guide ML engineers toward successful integration of ML models into hardware products --- Required Qualifications - 10+ years of experience in audio DSP and machine learning - Leadership experience managing or mentoring technical ML teams - Strong expertise in TinyML / Embedded ML; experience deploying models (TFLM, ONNX) to edge devices - Skilled in quantization techniques (post-training, quantization-aware training, mixed precision) - Proficient in C and Python - Familiarity with how NN operators run on DSPs, NPUs, and other hardware accelerators - Deep understanding of deep learning for audio, including: - Speech enhancement - Noise suppression - Voice pickup --- Preferred Skills - Experience with Linux, Docker - Familiarity with CMSIS-NN, HiFi NNLib - Knowledge of audio measurement tools and evaluation metrics - Experience taking products from concept to mass production - Ability to detect subtle audio artifacts via critical listening - Strong problem-solving and communication skills in cross-functional settings - Familiarity with version control systems --- Life at Logitech - Flexible hybrid work model – remote opportunities across many roles - A culture built on collaboration, diversity, and inclusion - Comprehensive benefits packages tailored to your physical, emotional, financial, and social wellbeing - An environment that encourages you to be yourself, challenge the norm, and create your own path --- Create the next generation of sound. Join Logitech and bring immersive, intelligent audio experiences to life....

Atlas Copco Group

GenAI Developer

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GenAI Enabler | GenAI Lighthouse Be the bridge between groundbreaking AI solutions and real-world user impact across global industries. --- Location: Global (Hybrid/Remote Support) Department: GenAI Lighthouse Role Type: Full-time --- About the Role Join a global leader in sustainable innovation across industries like electronics, medical research, renewable energy, food production, and infrastructure. As a GenAI Enabler, you’ll serve as the first point of contact for teams adopting AI Brains, our internal GenAI chatbot platform. You’ll play a vital role in enabling adoption, onboarding teams, solving technical challenges, and continuously improving the platform based on real user feedback. You’ll bridge the gap between non-technical users and advanced GenAI capabilities. --- Responsibilities - Serve as the first-line contact for end-user questions about AI Brains - Introduce platform features, onboard new users, and enable independent use - Provide initial technical support and troubleshooting for adoption issues - Perform technical tasks on behalf of non-technical bot owners - Track and report frequently requested features and new use case ideas - Collaborate with the Lighthouse team to evolve the product roadmap - Stay up to date on GenAI advancements and contribute to R&D efforts --- Required Skills - Deep understanding of GenAI concepts and the data science lifecycle - Experience with Azure AI services, APIs, and database integration - Solid working knowledge of Python, LLMs, and cloud-based deployment - Familiarity with platform adoption and stakeholder enablement - Fluent in English, both spoken and written - Comfortable challenging governance to improve existing processes --- Preferred Qualifications - Prior experience with AI Brains and MEAN stack applications - Familiarity with digital signal processing (voice, video, images) - Experience working with Jira, Confluence, and Agile/Scrum teams --- Personal Attributes - Analytical and proactive, with a problem-solving mindset - Strong communication skills and cross-functional collaboration - Takes initiative and ownership of tasks and responsibilities - Creative thinker who can challenge the status quo - Strong customer focus with a dedication to user satisfaction - Flexible, adaptive, and continuously eager to learn --- What We Offer - Opportunity to contribute to cutting-edge GenAI applications - A dynamic, international work environment with global reach - Access to the latest technologies and tools - Continuous learning and career development opportunities - A culture that values respect, innovation, and sustainability - Empowerment to drive change and challenge norms --- Empower global teams with next-gen AI. Be a driver of adoption and innovation at the heart of our GenAI Lighthouse....

Orange Business

AI Engineer Consultant

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AI Engineer Consultant | Orange Business (Digital Services Division) Work on real-world problems across industries by developing AI models in NLP, recommender systems, forecasting, and more. --- Company: Orange Business Location: Brussels (Hybrid) Job Type: Full-time Languages: Fluent in English + French or Dutch --- About the Role Are you passionate about data science, machine learning, and solving business challenges using AI? As an AI Engineer Consultant, you will work on cross-industry projects involving NLP, deep learning, recommendation engines, and predictive analytics. You’ll collaborate with large clients and internal experts to deliver tailored AI solutions in domains like life sciences, banking, insurance, media, and the public sector. This is a hands-on role for someone who loves solving complex problems and wants to grow in a people-first, innovation-driven company. --- Responsibilities - Propose, design, and develop advanced AI models (classification, regression, NLP, clustering, time-series forecasting, etc.) - Support multiple clients across industries on AI/ML consulting projects - Source, clean, and transform data using SQL, APIs, web scraping, and more - Develop and apply ML techniques using Python and/or R - Integrate your models into client environments and ensure business impact - Communicate insights clearly and align solutions with business objectives - Leverage data visualization tools (Power BI, Tableau, etc.) where relevant - Participate in cloud-based ML projects (Azure, GCP, etc.) - Work with Generative AI tools and frameworks when applicable - Collaborate with cross-functional teams to deliver scalable, reliable solutions --- Required Skills & Experience - Master’s or PhD in Math, Stats, CS, Engineering, Physics, or related - 2–5 years of experience in data science, analytics, or machine learning - Proficiency in Python or R, with strong programming fundamentals - Strong grasp of supervised/unsupervised learning and modeling techniques - Experience in SQL and data preprocessing workflows - Familiarity with NLP, time-series, anomaly detection, or predictive maintenance - Cloud experience (Azure, GCP) is a strong plus - Hands-on exposure to Generative AI or related tools is a plus - Experience in one or more domains: Banking, Marketing, Life Sciences, etc. - Strong communication and stakeholder engagement skills - Able to translate technical models into business value (explainable AI) --- Bonus Skills - Experience with Enterprise Intelligence: Data Warehousing, BI, Big Data ecosystems - Good coding practices, code refactoring - Exposure to MLOps and model deployment - Data visualization (Power BI, Tableau) --- What We Offer - Hybrid work model with access to modern Brussels office - Recognized as a Great Place to Work - Inclusive and people-first culture - Work in a community of experts focused on continuous innovation - Opportunity to grow with Europe’s top digital services arm within Orange --- Be part of Orange Business’ mission to lead digital transformation with AI-driven innovation....

IBM

AI Solution Engineer

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AI Solution Engineer – Foundation Models & LLMs | IBM Client Engineering Use watsonx and GenAI to co-create innovative, scalable AI solutions in real-time with enterprise clients. --- Company: IBM Location: Not specified (assumed hybrid or flexible) Job Type: Full-time Preferred Education: Master’s Degree --- About the Role As an AI Solution Engineer in IBM’s Client Engineering team, you'll work on fast-paced, 4–6 week AI pilots using IBM’s watsonx platform. You'll directly partner with clients and technical leaders to design, build, and deploy AI-powered proof-of-concepts grounded in foundation models, LLMs, and scalable architecture. This role is a blend of innovation, hands-on engineering, and client interaction. You’ll be a core part of IBM’s co-creation strategy—turning complex business problems into real, scalable solutions in record time. --- Responsibilities - Build AI Proof-of-Concepts (POCs) to demonstrate technical feasibility and business value using watsonx and other technologies - Architect custom AI solutions focused on foundation models, LLMs, and scalable deployment patterns - Engage with clients during the pilot and deployment phases to guide, support, and educate on best practices - Document architecture decisions, designs, and lessons learned; contribute to white papers, internal documentation, and mentoring - Stay current on industry trends in AI, ML, foundation models, vector databases, and automation frameworks - Collaborate with cross-functional IBM teams to turn client pilots into production-ready innovations --- Required Skills & Experience - Experience with full AI project lifecycle – from R&D to production deployment - Hands-on development with foundation models and large language models - Familiarity with Agile methodologies - Experience in AI/Data governance, digital assistants, or business automation solutions - Strong understanding of cloud-native tooling: - Red Hat OpenShift, Kubernetes, Ansible - Vector DBs, open file formats (Parquet, Avro, ORC) - Apache Iceberg, Redis or similar key-value stores - Cognos BI experience: design, build, and deployment of dashboards and multi-dimensional reports --- You’ll Succeed If You: - Are hands-on with GenAI and cloud-native architecture - Have experience building repeatable, scalable AI solutions - Thrive in client-facing, agile environments - Are comfortable iterating quickly on real-time pilots - Combine deep technical expertise with strong communication and consultative skills --- Join IBM and shape how enterprise clients experience the power of AI today....

Infraveo Technologies

AI/ML Engineer

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AI/ML Engineer (Python & Numpy) – Remote Use AI to drive emotional wellness and mental health insights in a mobile-first product. --- Location: Remote Job Type: Volunteer / Remote | 5 Days Working --- About the Role We are looking for an AI/ML Engineer to build intelligent, empathetic systems that power mood detection, emotional pattern analysis, and real-time personalization in a mental health-focused platform. You'll help design AI-powered features like an Emotional Insights Dashboard, track user sentiment, and ensure the models are performant and private by design. --- Responsibilities - Design and implement ML models for mood detection and emotional trend analysis using TensorFlow or PyTorch - Analyze user inputs (textual/interactive) to generate personalized emotional insights - Collaborate on AI feature development, including emotional dashboards and pattern prediction algorithms - Preprocess, clean, and analyze datasets to train/test models - Ensure compliance with GDPR and other data privacy regulations - Integrate AI features with mobile/backend teams for seamless deployment - Monitor and optimize model performance based on user feedback - Continuously research and implement state-of-the-art AI techniques --- Requirements - Proven experience in AI/ML development using TensorFlow, Keras, or PyTorch - Proficiency in Python and libraries like NumPy, Pandas, and Scikit-learn - Strong grasp of supervised and unsupervised learning methods - Experience in feature engineering and model optimization - Familiarity with natural language processing (NLP) is a plus --- Personal Traits - Passionate about using AI for mental health and emotional well-being - Open to feedback and comfortable in a remote, volunteer-based team - Thrives in collaborative, mission-driven environments --- Use your ML skills to make a real impact in people’s emotional lives....

TechCurators

Rabbitt AI Developer

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Location: New Delhi, India Company: Techcurators (A TC Group of Companies) Employment Type: Full-time --- About Techcurators Techcurators is a fast-growing company in the ed-tech and content-tech space, known for delivering high-quality tech content and digital solutions. As part of the TC Group of Companies, we're building scalable products that solve real-world problems. We value curiosity, ownership, and a builder’s mindset. --- Job Description We are looking for a passionate and curious MERN Stack Developer to join our team. As a part of the development team, you will work on building and maintaining full-stack applications using MongoDB, Express.js, React.js, and Node.js. You'll work closely with our tech leads and designers to build scalable and performant systems. --- Key Responsibilities Develop and maintain full-stack web applications using the MERN stack Collaborate with UI/UX designers and backend engineers to implement high-quality features Write clean, maintainable, and efficient code Integrate third-party APIs and RESTful services Debug and troubleshoot technical issues Participate in code reviews and team discussions Learn and adapt quickly to new technologies and tools --- Requirements Bachelor’s degree in Computer Science, Engineering, or a related field (final-year students may apply) 0–1 year of experience in full stack development (personal or internship projects count!) Strong foundation in JavaScript, HTML, CSS Hands-on experience with React.js and Node.js Familiarity with MongoDB and Express.js Understanding of REST APIs and basic authentication/authorization Version control using Git Problem-solving skills and attention to detail --- Good to Have Experience with TypeScript, Next.js, or Redux Understanding of deployment (Vercel, Netlify, or Heroku) Basic knowledge of CI/CD or Docker Previous experience with real-world projects, hackathons, or internships --- Perks & Benefits Flexible working hours Work-from-home options Opportunity to work on real and impactful products Learning & upskilling support Young and collaborative team Performance-based bonuses...

Google

Conversational AI Strategic Cloud Engineer

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Technical Solutions Consultant – Conversational AI – Google Cloud Build next-gen voice and chat experiences with Dialogflow and cutting-edge NLP on Google Cloud. --- Company: Google Team: Google Cloud – Contact Center AI Job Type: Full-time --- About Google Cloud Google Cloud helps organizations digitally transform with enterprise-grade infrastructure and AI-powered solutions. With customers in 200+ countries, we deliver technology that helps businesses grow and innovate responsibly. --- About the Role As a Technical Solutions Consultant – Conversational AI, you’ll lead the design and deployment of virtual agents using Dialogflow and related technologies. You will work with enterprise clients, partners, and internal teams to scope, deliver, and optimize Conversational AI implementations that scale across industries and geographies. --- Responsibilities - Build and deploy virtual agents using Dialogflow and other Google Conversational AI platforms - Collaborate with technical leads, executives, and partners to deliver enterprise-grade voicebot and chatbot solutions - Define architecture, manage deployments, and ensure adoption of Contact Center AI solutions - Act as a trusted technical advisor, advocating for customer needs and providing feedback to influence product development - Drive projects from concept to implementation, managing scope, risks, and delivery timelines - Travel up to 30% for client engagements --- Minimum Qualifications - Bachelor’s degree in Computer Science or equivalent practical experience - Experience in computational linguistics or engineering - Proven experience building chatbots or voicebots - Experience working with customers, executives, and technical teams --- Preferred Qualifications - Hands-on experience with Dialogflow and deploying chat/voice applications - Experience with cloud-based Conversational AI solutions - Understanding of NLP and conversational UX best practices - Strong collaboration and leadership in AI/ML solution design - Excellent communication, presentation, and problem-solving skills --- Join Google Cloud to deliver AI-powered conversations that drive smarter customer experiences....

Uber

AI/ML Engineer - Security

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AI/ML Software Engineer – Governance, Risk & Compliance (GRC) – Uber Leverage AI to transform how Uber identifies risk, ensures compliance, and secures global operations. --- Company: Uber Team: Security – Governance, Risk, and Compliance (GRC) Location: Hybrid (Minimum 50% in-office unless approved for full remote) Job Type: Full-time --- About Uber At Uber, we reimagine the way the world moves for the better. With global reach and innovation-driven teams, we are on a mission to create smarter transportation, delivery, and logistics solutions. Uber is proud to be an Equal Opportunity employer, fostering an inclusive and accessible workplace for all. Offices remain core to our collaborative culture. --- About the Role We are seeking an experienced AI/ML Software Engineer to join our GRC team and help reinvent risk management and compliance with AI. You’ll develop machine learning solutions that automate risk assessments, enhance compliance oversight, and improve fraud detection. Your work will directly influence how Uber meets regulatory requirements and protects its global ecosystem. --- Key Responsibilities - Build and deploy machine learning models to automate GRC processes including risk assessments, audits, and regulatory monitoring - Apply NLP techniques to analyze unstructured security incident data, policy documents, and regulatory text - Develop predictive analytics for fraud detection and anomaly identification - Collaborate with stakeholders in security, audit, legal, and engineering to shape AI-driven solutions - Ensure compliance with ethical AI principles and regulatory AI governance standards - Monitor, evaluate, and continuously improve model accuracy, fairness, and transparency --- Basic Qualifications - Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, Cybersecurity, or a related field - 4+ years of experience in AI/ML, analytics, or data science roles - Proficient in Python, R, or equivalent programming languages - Hands-on experience with ML frameworks (TensorFlow, Scikit-learn, PyTorch) - Strong understanding of NLP, anomaly detection, and predictive modeling --- Preferred Qualifications - Experience applying ML in cybersecurity, fraud detection, or risk management - Familiarity with Explainable AI (XAI) methods and AI governance frameworks - Relevant certifications such as CISM, CRISC, or Certified AI Ethics Professional --- Help Uber secure the future of mobility by applying intelligence to compliance....

MongoDB

AI Engineer, Code Generation

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Software AI Engineer – MongoDB (Application Modernization) Help modernize legacy systems through AI-driven tools and intelligent code translation. --- Company: MongoDB Team: Application Modernization Location: Canada (Hybrid role) Job Type: Full-time --- About MongoDB MongoDB empowers innovators to build, transform, and disrupt industries by unleashing the power of software and data. With over 175,000 new developers signing up each month, our flagship product, MongoDB Atlas, is the only globally distributed, multi-cloud database available in 115+ regions across AWS, GCP, and Azure. Customers like Samsung and Toyota rely on MongoDB to build next-generation, AI-powered applications. Join us and help lead the future of modern applications. --- About the Role As a Software AI Engineer, you’ll play a crucial role in developing AI-powered tools and agentic systems that automate codebase migration from relational databases to MongoDB’s document model. You'll help shape foundational agent frameworks and ship high-impact AI features that solve complex modernization challenges for enterprises. --- Key Responsibilities - Design and develop code-to-code translation solutions to automate migrations from relational to document-based models - Contribute to the entire lifecycle of AI-powered applications—including model selection, fine-tuning, prompt engineering, and production integration - Collaborate with AI engineers, software engineers, and stakeholders to evolve generative AI products - Help build agentic workflows, retrieval-augmented generation (RAG), and advanced AI-driven tools - Develop evaluation and monitoring frameworks to track AI product performance in real-world usage - Continuously adopt and share industry innovations in generative AI, contributing to team best practices - Lead early-stage 0–1/MVP prototyping efforts with rapid iteration and experimentation --- What You Bring - Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience) - 2+ years of experience in software/product engineering - 1+ years of experience building AI systems with demonstrable impact - Familiarity with relational and document-based database schema design - Proven experience building GenAI tools, especially Agentic systems, RAG pipelines, or language model integrations - Experience with evaluation and benchmarking frameworks for foundational model-based applications - Strong grasp of software engineering fundamentals and static code analysis is a plus - Ability to handle ambiguity and drive projects with autonomy and clarity --- What Makes You a Great Fit - Passion for generative AI and hands-on experience with production-grade GenAI systems - Excited to help shape the direction and culture of a fast-moving, innovative AI team - Comfortable scoping and solving ambiguous problems with limited initial direction - Adaptive, collaborative, and highly communicative in a cross-functional setup - Motivated by simplifying complex technical challenges, especially around workload migration --- Join MongoDB and build the next generation of intelligent developer tools....

Times Internet

Data Engineer

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Data Engineer – Times Internet (AGI Unit) Design the data infrastructure powering India’s largest digital products. --- Company: Times Internet Business Unit: Architecture and Group Initiatives (AGI) Job Type: Full-time --- About Times Internet Times Internet is India’s largest digital products company, offering premium products across News, Sports, Fintech, and Enterprise domains. With a portfolio including TOI, ET, Cricbuzz, Times Prime, and more, we aim to enrich lives by delivering products that simplify everyday decisions and experiences. As an equal opportunity employer, we achieved gender pay parity in 2018, independently verified by Aon Hewitt, and continue to foster a diverse, inclusive environment driven by innovation and excellence. --- About the Business Unit AGI (Architecture and Group Initiatives) owns cutting-edge Enterprise CMS platforms powering digital newsrooms across Times Internet. The team builds scalable, AI-enabled authoring and analytics tools designed to handle millions of requests per minute—making AGI a center of innovation for the digital media ecosystem. --- About the Role As a Data Engineer, you will help design and scale our analytics infrastructure, turning complex data into actionable insights. Collaborating closely with Product and Engineering teams, you’ll build high-performance platforms to support data-driven decisions and continuous business innovation. --- Key Responsibilities - Collaborate cross-functionally to translate business and technical requirements into scalable data platform specifications - Design, develop, and maintain robust, high-performance data infrastructure for advanced analytics - Drive innovation by contributing to the analytics roadmap and iterating on key data-driven initiatives - Partner with Product Managers, DevOps, and Engineers in an agile environment to deploy solutions - Tackle complex data challenges with curiosity, creativity, and a commitment to continuous improvement --- Skills, Experience & Expertise - Proficiency in SQL or similar languages and comfort working with large datasets - Strong skills in Python for statistical analysis and data transformation - Experience with analytics tools and data visualization platforms - Excellent communication skills to share insights effectively - Ability to work independently in a matrixed, agile environment --- Eligibility - Demonstrated analytical and problem-solving abilities, especially in hypothesis-driven exploration - Experience building data pipelines or platforms for data-driven products and analytics - Proven ability to derive actionable insights from structured and unstructured data - Self-starter with a collaborative mindset and strong ownership of deliverables --- Join Times Internet and be part of India’s digital transformation—powered by data....