AI Engineer
Particle418 months ago
Remote, IndiaMid Level
Responsibilities
- Lead end-to-end development of AI/ML models from data ingestion and preprocessing through training, evaluation, deployment, and monitoring.
- Build generative-AI solutions including RAG applications, agentic workflows, MCP servers, and conversational AI agents.
- Collaborate with data engineering teams on data pipelines, feature stores, and orchestration frameworks.
- Integrate AI models into production systems through APIs, microservices, and cloud deployments.
- Optimize solutions for performance, scalability, robustness, and cost efficiency.
- Monitor production models for drift, bias, fairness, and reliability, and implement remediation.
- Document model designs, experiments, data provenance, and solution rationale.
- Evaluate emerging AI/ML research, frameworks, and tools and propose innovative solutions.
- Work directly with clients to translate business requirements into AI solutions and communicate results.
Requirements
- Bachelor’s or master’s degree in Computer Science, Engineering, Data Science, or a related field.
- At least 3 years of hands-on experience developing and deploying AI/ML models.
- Strong Python programming skills and experience with TensorFlow, PyTorch, scikit-learn, LangChain, and LangGraph.
- Experience with vector databases such as Pinecone or FAISS, RAG, agentic workflows, and LLM building or fine-tuning.
- Experience deploying models to production with APIs, microservices, and monitoring.
- Familiarity with Text-to-Speech and Speech-to-Text solutions such as Deepgram, ElevenLabs, and Cartesia.
- Experience with computer vision, time-series modeling using ARIMA or Prophet, or multimodal AI.
- Familiarity with MLOps tools and frameworks such as MLflow, Kubeflow, and SageMaker.
- Strong understanding of algorithms, data structures, statistics, and machine-learning fundamentals.
- Publications, open-source contributions, or personal AI/ML projects are valued.
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