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Location: Bangalore
Experience: 0 - 2 Years
Job Type: Employee
Openings: 1
Studio
3–5 years (Mid-Level)
Full-time
We are looking for an AI Engineer to design, build, and deploy production-grade AI/ML and generative AI solutions. You will work at the intersection of software engineering and machine learning to bring intelligent applications to life.
• Design and implement machine learning and generative AI solutions to solve real-world business problems.
• Build, fine-tune, and evaluate models, including integration with large language models (LLMs) and foundation models.
• Develop scalable APIs and services to serve AI models in production environments.
• Implement retrieval-augmented generation (RAG) pipelines, prompt engineering, and agentic workflows where applicable.
• Collaborate with data engineers and data scientists to ensure high-quality data pipelines for training and inference.
• Establish MLOps/LLMOps practices for model versioning, monitoring, and continuous improvement.
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• Optimize model performance, latency, and cost in production deployments.
• Stay current with emerging AI/ML tools, frameworks, and research to drive innovation.
• 3–5 years of experience in AI/ML engineering or software engineering with a strong ML component.
• Strong proficiency in Python and experience with ML/AI frameworks (PyTorch, TensorFlow, Hugging Face).
• Hands-on experience building and deploying machine learning models in production.
• Experience working with LLMs, embeddings, and vector databases (e.g., Pinecone, FAISS, Weaviate).
• Solid understanding of software engineering principles: APIs, version control, testing, and CI/CD.
• Experience with cloud AI/ML services (Azure OpenAI, AWS Bedrock/SageMaker, GCP Vertex AI).
• Strong problem-solving skills and ability to work in a fast-paced, evolving environment.
• Experience with agentic frameworks (LangChain, LlamaIndex, or similar).
• Exposure to fine-tuning and optimizing open-source LLMs.
• Experience with containerization and orchestration (Docker, Kubernetes) for model deployment.
• Contributions to open-source AI/ML projects or published research.
Bachelor's or Master's degree in Computer Science, AI/ML, or a related field.
Tredence is a private data science and AI consultancy helping enterprises turn insights into realized business value.
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