2 weeks left to apply
Job Description
5+ years of experience in AI/ML, with strong expertise in deep learning (supervised, unsupervised, self-supervised, reinforcement learning) and Large Language Models (Transformers, self-attention, mixture of experts, embeddings). Proven experience in Retrieval Augmented Generation (RAG), vector databases, graph databases, prompt engineering, and AI agent design, orchestration, and optimization. Hands-on experience with model fine-tuning, data pre-processing, and Python programming, with proficiency in ML frameworks such as PyTorch, TensorFlow, or equivalent. Experience with LangChain, LangGraph (preferred) or CrewAI / LlamaIndex, and LLMOps tools like LangFuse (preferred) or LangSmith. Strong knowledge of AWS development and deployment, including ECS, Lambda, S3, and AWS AI/ML/GenAI platforms such as SageMaker and Bedrock. Familiarity with containerization and orchestration tools such as Docker and Kubernetes. Ability to deploy scalable AI/ML solutions in production environments with a focus on reliability, performance, and usability. Excellent problem-solving skills with experience delivering end-to-end AI solutions in real-world applications.
Required Skills
Additional Information
- Company Name
- EduRun Group
- Industry
- N/A
- Department
- N/A
- Role Category
- AI Engineer
- Job Role
- Mid-Senior level
- Education
- No Restriction
- Job Types
- On Site
- Gender
- No Restriction
- Notice Period
- Less Than 30 Days
- Year of Experience
- 1 - Any Yrs
- Job Posted On
- 4 weeks ago
- Application Ends
- 2 weeks left to apply