AI Ml Engineer

Job Summary

AI/ML Engineer

Who We Are Looking For

LLMs

Required Skills and Qualifications

1. 3+ years of work experience in Python programming for AI/ML, deep learning, and Generative AI model development

2. Proficiency in TensorFlow/PyTorch, Hugging Face Transformers and Langchain libraries

3. Hands-on experience with NLP, LLM prompt design and fine-tuning, embedding, vector databases and genetic frameworks

4. Strong understanding of ML algorithms, probability and optimization techniques

5. 6+ years of experience in deploying models with Docker, Kubernetes, and cloud services (AWS Bedrock, SageMaker, GCP Vertex AI) through APIs, and using MLOps and CI/CD pipelines

6. Familiarity with retrieval-augmented generation (RAG), cache-augmented generation (CAG), retrieval-integrated generation (RIG), low-rank adaptation (LoRA) fine-tuning

7. Ability to write scalable, production-ready ML code and optimized model inference

8. Experience with developing ML pipelines for text classification, summarization and chat agents

9. Prior experience with SQL and noSQL databases, and Snowflake/Data bricks

What You Will Be Doing

As an AI/ML Engineer in the AI center of excellence (COE) at DataZymes, you will be developing and maintaining end-to-end AI solutions to business problems. Key responsibilities are listed below:

1. Design, develop, and deploy AI/ML models for various applications, including NLP and structured data

2. Implement, prompt, fine-tune, and optimize Generative AI models, such as LLMs and diffusion models

3. Develop and maintain data pipelines, features engineering workflows, and model training infrastructure

4. Work with large-scale datasets, ensuring data quality and pre-processing for training and inference

5. Optimize model performance, reducing latency, and improving efficiency for real-time AI applications

6. Deploy models using MLOps best practices on cloud platforms (AWS, GCP)

7. Collaborate with cross-functional teams, including data engineers, software developers, and product managers to develop AI solutions to business problems

Role & responsibilities

Preferred candidate profile