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Job Title: AI/ML Engineer Experience: 5+ years Work Mode: Remote Key Responsibilities AI/ML Solution Architecture - Design and implement scalable AI/ML architectures for enterprise-grade applications. - Lead end-to-end AI solution development including data pipelines, model development, deployment, monitoring, and optimization. - Build reusable AI platforms, frameworks, and accelerators for organization-wide adoption. Generative AI & Agentic AI - Architect and develop Generative AI applications using Large Language Models (LLMs). - Design Retrieval-Augmented Generation (RAG) systems using vector databases and semantic search. - Build AI agent workflows with tool calling, multi-agent orchestration, and MCP-based integrations. - Develop conversational assistants, coding assistants, automation agents, and enterprise copilots. Machine Learning Engineering - Develop and optimize ML models for: - Recommendation systems - Demand forecasting - Price prediction - Customer segmentation - Fraud detection - Predictive analytics - Search ranking and relevance - Behavioral analytics - Optimization systems Cloud & Platform Engineering - Lead AI/ML implementations on cloud platforms, preferably Google Cloud Platform (GCP). - Work with services such as: - Vertex AI - BigQuery - Cloud Run - GKE - Pub/Sub - Dataflow - Vertex AI Search - Cloud Storage - Vector Search MLOps & Deployment - Establish MLOps best practices including: - Model versioning - Experiment tracking - Feature engineering pipelines - Drift detection - Monitoring and observability - Automated retraining workflows - Deploy scalable AI services using: - FastAPI / Flask - Docker - Kubernetes - REST APIs - CI/CD pipelines - Microservices Leadership & Collaboration - Lead and mentor AI/ML engineers, data scientists, and backend engineering teams. - Collaborate with product, business, and leadership stakeholders to translate business problems into AI-driven solutions. - Evaluate emerging AI technologies and recommend strategic adoption opportunities. Required Skills & Qualifications Experience - 5+ years of experience in AI/ML, Data Science, AI Engineering, or related domains. - Proven experience delivering production-grade AI/ML solutions. Technical Skills Programming & ML - Strong proficiency in Python. - Experience with: - NumPy - Pandas - Polars - Scikit-learn - XGBoost - TensorFlow - PyTorch Machine Learning - Strong understanding of: - Regression - Classification - Clustering - Recommendation systems - Forecasting models - Anomaly detection - Ranking systems - Similarity search - Optimization techniques Generative AI - Hands-on experience with: - LLM applications - RAG architecture - Prompt engineering - Embedding models - Semantic search - Hybrid search - AI agents - MCP integrations - Tool calling workflows AI Frameworks & Platforms - Experience with: - LangChain - LangGraph - LlamaIndex - CrewAI - AutoGen Vector Databases & Search - Experience with: - Pinecone - Weaviate - FAISS - Milvus - Elasticsearch - Vertex AI Vector Search Cloud & Infrastructure - Strong experience with GCP services and cloud-native architectures. - Knowledge of: - Docker - Kubernetes - GKE - Serverless architectures - Event-driven systems MLOps - Experience implementing: - Model monitoring - Experiment tracking - Feature stores - Model registry - Logging and observability - CI/CD for ML systems Preferred Qualifications - Experience in retail, e-commerce, finance, analytics, customer service, or enterprise automation domains. - Experience with: - Vertex AI Search - Google Commerce Search - Dialogflow CX / Google CX Agent - OR-Tools - Exposure to enterprise AI governance, scalability, and responsible AI practices. Benefits Here are some of the perks of being a part of Inforizon Better Salary W offer competitive salaries to keep our employees motivated and keep a sense of unity within our company. Flexibility Inforizon offer flexible work hours or remote work options, allowing employees to achieve a better work-life balance. Career Growth Inforizon invest in our employees' skilled growth by providing training, education, and career opportunities. Recognition We offer Performance bonuses and extra financial rewards based on individual and teams achievements. Technology We help up-to-date tools and technology needed for the job. Equipment and software to facilitate remote work. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.