Twilio is hiring a Staff Machine Learning Engineer (remote, India) to lead research and build production-grade ML systems powering conversation memory, LLM orchestration, retrieval strategies, personalization, and real-time inference at scale. Requires 8+ years applied ML/AI experience, strong Python proficiency, cloud experience (AWS/GCP/Azure), and experience with transformer models and experiment design.

Twilio seeks a Principal Machine Learning Engineer for the Customer Memory Team (remote, India). The role requires 10+ years applied ML/AI experience, strong Python skills, experience building cloud-based services on AWS/GCP/Azure, and deep expertise in production ML systems including LLM orchestration, embedding models, and vector stores. Occasional travel may be required.

Twilio is hiring a Machine Learning Engineer III on a remote basis in India (specific states listed). The role focuses on designing, researching, and building production-grade ML/AI capabilities including LLM orchestration, retrieval strategies, embedding models, vector stores, and real-time inference at scale. Requires 5+ years applied ML/AI experience, strong Python skills, experience with cloud services (AWS/GCP/Azure), and expertise in deploying production ML systems. Occasional travel may be required.

Design, build, and operate agent-to-agent (A2A) architectures and multi-agent orchestration; integrate and optimize LLMs (including prompt engineering and tool calling); implement RAG and vector search grounding; provision scalable cloud infrastructure with IaC (Terraform) and DevOps practices; and apply security, observability, and governance for multi-agent workflows.

Own design, training, deployment and operation of recommendation and ranking models (embeddings, collaborative filtering, ANN search) and related Python services. Build and run batch pipelines, low-latency model serving (sub-200ms), Kubernetes/Docker deployments, and A/B tests. Requires 5+ years building ML systems with production model-serving experience and familiarity with vector DBs (Qdrant), ANN libraries (HNSWlib/FAISS/Annoy/ScaNN), SQL, streaming systems and LLM work.

Nagarro seeks an Associate/Staff Engineer to build, configure and deploy conversational AI/chatbot solutions using Kore.ai (XO10, XO11, Artemis). Requires 4+ years total experience, 3+ years on Kore.ai, strong hands-on experience with JavaScript, Node.js, Python, REST APIs and JSON, and experience with LLMs, prompt engineering, RAG and vector databases. Responsibilities include building integrations, multi-agent orchestration, AI observability, troubleshooting production issues, and ensuring security and governance. Banking/financial services domain and Kore.ai/Artemis certification are preferred.

Lead analytics and measurement work for Wikimedia's anti-abuse, safety, and security efforts. Responsibilities include designing experiments and metrics, performing quantitative research using Bayesian and frequentist approaches, collaborating with product, research, and engineering teams to develop and evaluate AI/ML models, building self-service dashboards, and working with large-scale data using tools such as Hive, Presto, Druid, Spark, Apache Iceberg, DBT, Airflow, and Superset. Fluency in Python or R, SQL, and experience with experimental design, statistics, and machine learning are emphasized.

Lead architect/engineer responsible for designing, implementing, and productionizing scalable generative AI and agentic AI solutions. Requires 8+ years of experience, deep knowledge of LLMs and Transformers, expert prompt engineering and RAG implementation, strong Python and ML libraries (PyTorch/TensorFlow, Hugging Face, LangChain ecosystem), experience with vector databases and cloud-managed ML services (Azure/AWS), and production experience exposing APIs (FastAPI) and using ORMs. Responsibilities include solution architecture, design reviews, POCs, and collaborating with product and engineering teams to deliver enterprise-grade GenAI systems.

NVIDIA seeks an engineer to develop AI/ML-based tools and LLM integrations to automate performance verification workflows for GPUs, SoCs, and related systems. Responsibilities include building agents to detect regressions and root causes, designing data pipelines for model training, collaborating with verification teams, and measuring automation impact. Requires B.Tech/M.Tech/PhD in EE/CS or related field and 3+ years in hardware verification, performance validation, or EDA tool development.

Owner of scalable data and ML pipelines and core Databricks platform components (Delta Lake, Unity Catalog, Workflows). Requires 6+ years in data/platform/ML engineering, strong Python and SQL skills, Databricks and PySpark expertise, experience operationalizing ML (MLflow, training/deployment), and working with cloud data platforms (AWS/Azure/GCP).

Udacity (an Accenture company) is hiring external contractors as technical mentors for Claude/Anthropic AI topics. The role is remote across multiple timezones and requires 5+ years of relevant technical experience and expertise in the Claude ecosystem (Claude API, Claude Code, Claude Agent SDK, MCP), agentic AI, prompt/context engineering, Python, REST/JSON, system architecture, CI/CD, SQL and production AI workflows. Responsibilities include 1:1 mentoring calls, technical deep-dive sessions, and group Q&A. US applicants must have work authorization that does not require visa sponsorship.

Coinbase is hiring an IC4 Machine Learning Engineer (remote - India) to build and improve an orchestration layer coordinating vendor and internal LLMs and human participants. The role requires 2+ years of professional ML/software engineering experience, strong Python skills, hands-on experience with LLMs/deep learning, and familiarity with tools such as LangGraph, LangSmith, Google ADK, Vertex AI, or AWS Bedrock. Responsibilities include designing and shipping production-grade ML services, system design, and ensuring security and compliance.

Role focuses on building and productionising GenAI solutions that leverage LLMs (e.g., GPT series), prompt engineering and prompt chains, model and prompt evaluation, retrieval-augmented generation architectures (vector DBs, embeddings, document chunking), data extraction (e.g., PDFs), and continuous performance monitoring. Requires applying software engineering best practices including CI/CD, testing, ETL/data pipelines, load testing and MLOps to ensure reliability in production.

Role focused on owning evaluation solutions end-to-end: designing methodologies and rubrics, building pipelines and tooling, deploying and monitoring production evals, creating benchmarks and adversarial tests, and translating eval signal into training priorities. Requires 5+ years of software/ML engineering experience, strong Python and PyTorch/TensorFlow skills, applied statistics knowledge, and experience with AWS and Databricks.

Twilio is hiring a remote (India) Tech Lead / Sr. Principal Engineer (L6) for its Emerging Technologies incubation team. The role requires 12+ years of software development experience, hands-on design and delivery of prototypes and production solutions, driving AI/LLM experimentation and integration, establishing engineering standards and code-review governance, mentoring peers, and working with front-end and back-end frameworks, databases (SQL/NoSQL), and cloud/distributed system architectures. Occasional travel for meetings may be required.

Senior ML Engineer responsible for designing and deploying an orchestration layer that manages state transitions, context sharing, and intent routing across vendor and internal LLM frameworks. Build production-grade Python ML services, lead end-to-end ML projects, establish system and coding best practices, and mentor engineers. Requires 5+ years experience and hands-on work with LLMs/generative AI and frameworks such as LangGraph, LangSmith, Google ADK, Vertex AI, or AWS Bedrock. Annual base salary listed as ₹6,612,600 INR.

Technical software engineering role within Data Science focused on building production multi-agent systems, AI-powered security chatbots, and applied LLM workflows for security operations (alert triage, summarization, automation). Role expects 8+ years of professional software engineering experience, 1–2 years hands-on applied AI building multi-agent/chatbot or tool-using agent systems, expertise in .NET/TypeScript/Python, familiarity with cloud AI services (AWS Bedrock preferred) and LLM SDKs, and strong emphasis on evaluation, reliability, and AI security practices.

Udacity (an Accenture company) seeks external part-time AI Technical Mentors to provide 1:1 sessions, technical deep-dives, and group Q&A. Mandatory skills include Python, API integration, core AI/ML concepts, familiarity with LLMs and generative AI, prompt engineering, ML libraries (NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow), exposure to frameworks like LangChain and LlamaIndex, and knowledge of RAG, embeddings, and vector databases.

Contractor mentor role supporting learners in Udacity's School of Data. Requires 5+ years of relevant technical experience and proficiency in Python and/or SQL, data analysis and modeling, ETL and data pipelines, data visualization tools (e.g., Pandas, NumPy, Tableau/Power BI), and familiarity with databases and data warehousing. Responsibilities include 1:1 mentoring, technical deep-dive presentations, and group Q&A sessions.

Senior (Staff) backend/platform engineering role to design and build core services (APIs, workflow orchestration, tool integration) for an agentic platform that scales generative AI capabilities across the enterprise. Role emphasizes reliable, secure, observable services, third-party integration, and collaboration with product, data, platform, and security teams.