VML

AI Consultant (Satalia)

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AI Consultant - Enterprise Transformation | VML/Satalia Drive AI adoption for Fortune 500 brands at WPP's premier AI consultancy. --- Company: VML Enterprise Solutions (Satalia) Location: [London/Remote] Role Type: Full-time | AI Strategy Consulting --- About the Opportunity Join WPP's Chief AI Officer in shaping the future of enterprise AI, working with clients like Coca-Cola, Mercedes-Benz, and Unilever on transformative projects. --- Your Impact As an AI Consultant, you'll: - Lead AI Strategy: - Conduct discovery workshops with C-suite executives - Develop business cases for generative AI adoption - Manage Delivery: - Oversee technical teams (data scientists, engineers) - Ensure on-budget, high-impact project execution - Drive Innovation: - Bridge academic research and commercial applications - Implement decentralized organizational models --- What We're Looking For Core Requirements - Consulting Skills: - 3+ years in management/tech consulting - Stakeholder workshop facilitation - ROI analysis for AI initiatives - Technical Literacy: - Understanding of GenAI/ML pipelines - SDLC knowledge Nice-to-Have - BA/BS in Computer Science - Marketing/creative sector experience - Change management expertise --- Why Join? - Cutting-Edge Work: $29B+ annual client impact - Progressive Culture: - 27 days PTO + enhanced family leave - True flexible working - Growth: Annual $5k development budget --- Hiring Process 1. Case Study (AI strategy challenge) 2. Consulting Simulation 3. Team Interview 4. Offer --- "Decentralizing the future of enterprise AI." VML is an equal opportunity employer. [Privacy Policy]()...

A.P. Moller - Maersk

Machine Learning Engineer

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ML & Simulation Engineer - Emissions Optimization | Maersk Build AI solutions that transform global logistics and reduce supply chain emissions. --- Company: Maersk Role Type: Full-time | AI/ML Engineering --- About the Opportunity Join our Global Data & Analytics team to enhance the Emissions Studio platform, helping customers optimize 20% of world trade while reducing carbon footprint. --- Your Impact As an ML & Simulation Engineer, you'll: - Develop Optimization Models: - Create scenario simulations for emissions vs cost trade-offs - Implement OR techniques (linear programming) - Build Production AI: - Deploy ML models for logistics forecasting - Design MLOps pipelines (Airflow/Kubeflow) - Drive Sustainability: - Enhance Emissions Studio dashboard - Analyze global shipping data --- What You Bring Core Requirements - Education: Advanced degree in CS/Data Science - Technical Skills: - 5+ years production Python ML (PyTorch/scikit-learn) - Time-series forecasting expertise - CI/CD and DevOps experience - Problem-Solving: - Translate business needs to technical solutions - Explain complex models to stakeholders Preferred Skills - Gurobi/CPLEX optimization - PowerBI/Streamlit dashboards - Spark distributed computing --- Why Maersk? - Global Scale: Impact 20% of world trade - Tech Innovation: Industrial digital transformation - Sustainability: Real carbon reduction impact - Benefits: - Flexible work arrangements - Inclusive culture --- Hiring Process 1. Technical Screen (Python/ML case study) 2. System Design (Simulation architecture) 3. Team Interview (Culture fit) 4. Offer --- "Connecting and simplifying global trade through AI." Maersk is an equal opportunity employer. [Accommodations]() available....

Franklin Templeton India

Digital & AI/ML Engineer

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AI/ML Engineer - GenAI Solutions | Franklin Templeton Build cutting-edge AI tools to transform asset management for $1.5T+ in AUM. --- Company: Franklin Templeton Location: [Hyderabad/Remote - India] Shift: 2:00 PM - 11:00 PM IST Role Type: Full-time | AI Research & Engineering --- About Our AI Team We're pioneering GenAI solutions to enhance productivity across sales, distribution, and operations for our global investment teams serving 160+ countries. --- Your Impact As an AI/ML Engineer, you'll: - Develop GenAI Tools: - Create productivity boosters for internal teams - Implement RAG systems for financial workflows - Lead AI Research: - Conduct PoCs on emerging LLM technologies - Publish internal research papers - Optimize Systems: - Preprocess financial datasets - Monitor production model performance --- What You Bring Technical Requirements - Education: BS/MS in CS/ML (PhD preferred) - Skills: - Python/R for financial AI applications - Deep learning frameworks (PyTorch/TensorFlow) - Cloud AI deployment experience - Experience: - 2-4 years production AI development - Financial services background (preferred) Soft Skills - Stakeholder communication - Junior team mentorship - Research mindset --- Why Franklin Templeton? - Global Scale: Impact $1.5T+ assets under management - Work-Life Balance: - 12-week paternity leave - Onsite childcare & healthcare - Learning: 150+ web courses & tuition assistance --- Hiring Process 1. Technical Screen (Python/ML case study) 2. Research Review (PoC presentation) 3. Culture Fit (Team interview) 4. Offer --- "Delivering better outcomes through AI." FT is an Equal Opportunity Employer. [Accommodations]() available....

NVIDIA

Data Analytics and Applied AI Engineer - DFT Methodology

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AI Engineer - Semiconductor AI | NVIDIA Pioneer generative AI solutions that revolutionize chip design and testing. --- Company: NVIDIA Role Type: Full-time | Applied AI Research --- About NVIDIA's AI Journey From powering modern GPUs to leading the AI revolution, we're solving challenges that redefine human potential through accelerated computing. --- Your Impact As an AI Engineer in our DFT team, you'll: - Transform Chip Development: - Architect LLM/RAG solutions for VLSI challenges - Deploy predictive models for silicon lifecycle management - Drive AI Innovation: - Develop agentic AI workflows for DFT applications - Shape next-gen AI data strategies for EDA tools - Mentor & Lead: - Guide junior engineers on AI-augmented testing - Bridge AI research and semiconductor engineering --- Technical Requirements Core Qualifications - Education: BS/MS in EE/CS (Top-tier institution) - Experience: - 2+ years in DFT/VLSI + Applied ML - Generative AI deployment for engineering - Skills: - Python/C++ for EDA problem-solving - ATPG/scan/STA fundamentals - Statistical data analysis Preferred - EDA tool AI integration - Perl/TCL scripting - Published research in AI/EDA --- Why NVIDIA? - Cutting-Edge: Work with the hardware that powers AI - Global Impact: Shape the future of chip design - Benefits: - Top 1% compensation packages - Accelerated career growth --- Hiring Process 1. Technical Screen (AI/DFT fundamentals) 2. Case Study (Generative AI for EDA) 3. On-site (System design + coding) 4. Offer --- "Amplifying human creativity through silicon." NVIDIA is committed to building diverse teams where exceptional ideas thrive....

Expertia AI

AI/ML Engineer - LLM Apps & Data Mining

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AI Engineer - Recruitment Tech | Expertia AI Build the AI Recruiter of tomorrow using cutting-edge LLMs for 15,000+ companies. --- Company: Expertia AI Location: [Bangalore/Remote] Role Type: Full-time | AI Engineering --- About Expertia We're revolutionizing hiring with AI, serving 23M+ professionals and clients like Google/Reliance. Backed by top VCs, we're making real-time recruitment a reality through LLMs and automation. --- Your Mission As an AI Engineer, you'll develop crawlers and LLM-powered systems that parse millions of resumes/JDs to match talent with opportunities in real-time. --- Key Responsibilities - Data Pipeline Development: - Build scalable scrapers for job data extraction - Design AWS-based ETL workflows - AI Application Development: - Implement GPT/Llama/Gemini solutions - Optimize Flask APIs for recruitment workflows - System Integration: - Develop RAG systems with vector DBs - Enhance AI-driven search relevance --- Tech Stack Requirements Core - Python/Flask (production-grade) - AWS (Lambda, EC2, S3) - Web scraping (Scrapy/BeautifulSoup) - LLM integration (OpenAI API) Bonus - Vector DBs (Pinecone/Weaviate) - NLP for resume parsing - Next.js/React frontends --- Why Expertia? - Scale: Process 23M+ professional profiles - Innovation: Work with latest LLMs (Gemini 1.5, Llama 3) - Growth: Equity in a VC-backed rocketship - Team: Ex-Flipkart/Google mentors --- Hiring Process 1. Python/LLM Screen (Take-home task) 2. System Design (Scaling recruitment AI) 3. Culture Fit (With founders) 4. Offer --- "Hiring at the speed of thought." Join our mission to eliminate recruitment friction through AI....

Adobe

Machine Learning Engineer 5

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ML Engineer & Applied Researcher - AI Foundation | Adobe Express Build the next generation of creative AI for millions of digital creators. --- Company: Adobe Role Type: Full-time | AI Research & Engineering --- About Adobe Express AI We're redefining digital creation through multimodal AI, empowering everyone from artists to businesses with intelligent content generation tools. --- Your Impact As an ML Engineer on our AI Foundation team, you'll: - Develop Core AI Models: - Research and implement CV/NLP/generative models - Scale LLM integration for creative workflows - Build Production Systems: - Design microservices for real-time inference - Optimize training pipelines on cloud infrastructure - Shape Creative Tools: - Convert product needs into AI capabilities - Enhance personalized recommendations --- What You'll Bring Technical Requirements - Education: BS/MS/PhD in CS, ML or related field - Coding: Python/Java (TensorFlow/PyTorch) - Specialized Skills: - LLM fine-tuning and agent frameworks - Multimodal (CV+NLP) model development - REST API design for ML services Preferred Experience - Creative/imaging domain knowledge - Federated learning implementation - CI/CD with Jenkins/Git --- Why Join Adobe? - Cutting-Edge AI: Work with the latest generative models - Global Impact: Power Adobe Express for millions - Inclusive Culture: Rated 4.8/5 on Glassdoor --- Hiring Process 1. Technical Screen (ML fundamentals) 2. Research Review (Publication/Past work) 3. On-site (System design + coding) 4. Offer --- "Create the tools that create the future." Adobe is an equal opportunity employer. [Accommodations]() available....

Infosys

Gen AI Developer

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LLM Engineer - Responsible AI | Infosys Design, develop and deploy large language models with ethical AI principles. --- Key Responsibilities - Data Pipeline Development: - Collect, clean and preprocess text data for LLM training - Create synthetic datasets when required - Model Development: - Architect and train LLM models - Optimize hyperparameters for performance - Model Evaluation: - Conduct rigorous testing on held-out datasets - Assess generated text quality and coherence - Production Deployment: - Package models for cloud deployment - Develop REST APIs for model serving - Responsible AI: - Implement bias mitigation techniques - Ensure compliance with data privacy regulations --- Technical Requirements Core Skills: - Strong Python programming skills - Experience with LLM architectures (GPT, BERT, etc.) - Proficiency in NumPy, Pandas, data visualization - Cloud platform experience (AWS/Azure/GCP) Nice-to-Have: - R or MATLAB experience - Statistical analysis background - Data mining expertise --- Soft Skills - Commitment to ethical AI development - Strong analytical thinking - Excellent problem-solving abilities - Ability to communicate technical concepts clearly --- Why This Role Matters You'll be at the forefront of: - Developing cutting-edge language technologies - Implementing responsible AI practices - Solving complex NLP challenges - Creating real-world AI applications...

CGI

Machine Learning Engineer

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Senior ML Engineer - NLP Specialist | CGI Build AI solutions that power digital transformation for global enterprises. --- Company: CGI Location: Bangalore, India (Hybrid) Shift: 12:30 AM - 9:30 PM IST Role Type: Full-time | AI/ML Engineering --- About CGI With 94,000+ professionals worldwide and CA$14.68B in revenue, we deliver end-to-end IT solutions that help enterprises accelerate their digital transformation. --- Your Impact As a Senior ML Engineer, you'll develop and deploy NLP solutions that drive business value for CGI's global clients, working across the full AI lifecycle. --- Key Responsibilities - AI Solution Development: - Implement ML models using TensorFlow/PyTorch - Build NLP pipelines with spaCy/NLTK - Cloud Deployment: - Optimize models for AWS/Azure/GCP - Containerize solutions using Docker/Kubernetes - Data Excellence: - Process large datasets with Pandas/NumPy - Create actionable visualizations --- What You Bring Must-Have - Technical Skills: - 3+ years production ML experience - Python/R + ML frameworks (scikit-learn, Keras) - Cloud platforms certification - Professional Skills: - Agile process familiarity - Strong debugging skills Nice-to-Have - DevOps/MLOps experience - ITIL/COBIT knowledge - Data Science certifications --- Why CGI? - Ownership Culture: Equity in our collective success - Global Impact: Scale solutions across 40+ countries - Growth: Continuous upskilling opportunities --- Hiring Process 1. Technical Screening (Python/ML case study) 2. System Design Review 3. Culture Fit Interview 4. Offer --- "Own your future with 94,000 CGI Partners worldwide." We provide accommodations for disabilities throughout recruitment....

IBM

AI Engineer

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AI Partner Engineer | IBM Drive AI adoption across IBM's global partner network with cutting-edge solutions. --- Company: IBM Role Type: Full-time | AI Technical Enablement --- About IBM We pioneer solutions for the world's toughest challenges. At IBM, you'll invent and collaborate in ways that redefine what's possible with AI. --- Your Impact As an AI Partner Engineer, you'll bridge technical innovation and business value by enabling 100+ partners to deploy AI solutions at scale. --- Key Responsibilities - Partner Enablement: - Conduct AI workshops (LLMs, GenAI, computer vision) - Develop technical resources and best practice guides - Solution Development: - Co-create AI integrations with partner products - Optimize models for edge/cloud deployment - Technical Leadership: - Troubleshoot complex AI deployments - Advise on ethical AI and compliance --- What You Bring Core Skills - AI Expertise: - 3+ years with TensorFlow/PyTorch - Cloud AI services (AWS/Azure/GCP) - MLOps pipelines (Kubernetes, CI/CD) - Partner-Facing: - Technical presentation skills - Cross-functional collaboration Preferred Skills - Generative AI production experience - Big Data tools (Spark, Databricks) - Multi-cloud certification --- Why IBM? - Scale: Impact 100+ global partners - Innovation: Work with bleeding-edge AI - Growth: Continuous learning culture --- Hiring Process 1. Resume Review 2. Case Study (Partner enablement scenario) 3. Technical Interview (AI architecture) 4. Final Review --- "Let's create what's next." IBM is committed to ethical AI and diversity in tech....

TELUS Digital

Machine Learning Software Development Engineer

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LLM Engineer - Conversational AI | TELUS Digital Build next-gen chatbot experiences using cutting-edge language models for global customer solutions. --- Company: TELUS International Role Type: Full-time | NLP Engineering --- About TELUS Digital As the innovation arm of Canada's telecom leader, we combine agile thinking with caring culture to transform customer experiences for Fortune 500 clients worldwide. --- Your Impact As an LLM Engineer, you'll develop and fine-tune language models that power intuitive chatbot interactions, serving millions of users across finance, telecom, and consumer electronics sectors. --- Key Responsibilities - LLM Integration: - Implement Azure OpenAI/Cohere models in production systems - Design conversational flows for seamless UX - Model Optimization: - Fine-tune transformers (BERT, GPT) for domain-specific tasks - Evaluate performance using LangChain/Hugging Face tools - Cloud Deployment: - Leverage GCP DocumentAI/AWS IDP for document processing - Containerize models for scalable deployment --- What You Bring Core Requirements - Technical Skills: - 2+ years with LLMs (GPT, transformers) - Python/NodeJS + NLP frameworks (SpaCy, PyTorch) - Chatbot platform experience (Dialogflow, Rasa) - Education: - BS in CS/Engineering/Linguistics Nice-to-Have - Multilingual NLP experience - Contact center tech knowledge --- Why TELUS? - Global Scale: Impact Fortune 500 customer experiences - Innovation: Work with latest LLM technologies - Culture: Caring, agile environment with growth opportunities --- Hiring Process 1. Resume Review 2. Technical Screen (LLM case study) 3. Team Interview (Conversational AI focus) 4. Offer --- "Building inclusive AI for global customers." TELUS is an equal opportunity employer valuing diversity in tech....