6 дней назад
AI Engineer (Machine Learning & Generative AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineer (Machine Learning & Generative AI) (Python/AWS/LLMs): Building scalable machine learning and enterprise GenAI solutions in Chennai with an accent on production AI services, RAG systems, and model evaluation. Focus on developing LLM-powered applications, AI agents, REST APIs, microservices, and cloud-native architectures using AWS, Docker, and vector databases.
Location: Chennai, India
Company
is hiring an AI engineer to develop scalable machine learning and generative AI solutions for business-critical applications.
What you will do
- Build end-to-end machine learning solutions for classification, regression, recommendation, forecasting, clustering, anomaly detection, and optimization.
- Perform feature engineering, experimentation, hyperparameter tuning, validation, explainability, and model performance monitoring.
- Design and develop LLM-powered applications, RAG systems, AI copilots, intelligent assistants, and agentic workflows.
- Implement prompt engineering, evaluation frameworks, structured outputs, and guardrails for enterprise GenAI applications.
- Develop production-grade AI services, REST APIs, SDKs, reusable components, and microservices.
- Build scalable cloud-native solutions using AWS services, Docker, event-driven architectures, and container platforms.
Requirements
- 4–8 years of experience in AI/ML or data science roles.
- Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Engineering, or a related field.
- Strong hands-on Python, SQL, machine learning, data analysis, and software engineering experience.
- Experience with Scikit-Learn, XGBoost, LightGBM, CatBoost, TensorFlow or PyTorch, transformers, embeddings, and NLP solutions.
- Experience developing generative AI applications with LLMs, prompt engineering, RAG, agentic workflows, LangChain, or LangGraph.
- Experience with RESTful APIs, microservices, design patterns, SOLID principles, Git, Docker, and AWS services including EKS, SNS, SQS, Lambda, S3, and API Gateway.
Nice to have
- Apache Spark and distributed data processing experience.
- Experience with CrewAI or other multi-agent frameworks.
- Experience with OpenSearch, pgvector, vector search, semantic retrieval, knowledge graphs, or GraphRAG.
- Experience with event-driven architectures and messaging technologies such as SNS, SQS, or Kafka.
Culture & Benefits
- Full-time employment based in Chennai.
- Collaborative development workflows including code reviews, branching strategies, and release management.
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