Machine Learning Engineer

hace 6 meses

Tlahuac, México Avahi A tiempo completo

Job description

**Company Overview**:Avahi is a trusted AWS Advanced Partner that helps businesses transform their operations with cloud-based solutions. We are a dynamic and rapidly growing company known for its vibrant culture and innovative approach. As an emerging player in the industry, we thrive on challenges and seek individuals who are enthusiastic about contributing to our exciting startup journey. We are on the lookout for motivated go-getters who are ready to make a significant impact and be part of a team that values collaboration, creativity, and continuous learning.

**Position**: Machine Learning Engineer

**Location**: Mexico

**Job Type**: Full-Time

**About the Role**:
**Example projects**
- Build a RAG pipeline on top of internal documents.
- Create a python library on top of AWS services to enable GenAI for large enterprises.
- Open source internal tools.
- Work on tools which work with fine-tuned models, vector databases, embeddings etc.
- Design automated methods and tools to prevent common issues with neural network training (e.g. overfitting, vanishing gradients, dead ReLUs, etc).
- Build a production inference pipeline which interacts with the rest of the data infrastructure at a very large scale.
- Build CI/CD pipeline using Jenkins/ Terraform which automates the GenAI workflow across the stack.
- Make internal tools for ingesting petabyte scale data and corresponding ETL work for GenAI models to run training and inference jobs

**Qualifications**:

- **English fluency is a must**:

- Excellent verbal and written communication is a minimum requirement
- At least 5 years of hands on experience in most of these ML tools/techniques:

- Build ML models in SageMaker
- Build MLOps pipelines in SageMaker and/or MLflow
- Build ML models in frameworks like Tensorflow & PyTorch and deploy in SageMaker
- Train and deploy AWS pre-trained AI Services and Foundational Models
- Build and optimize ML models
- Familiarity with Large Language Models (LLMs) and Hugging Face integrations with AWS SageMaker
- Familiarity with Retrieval-Augmented Generation
- Infrastructure design and optimization
- Monitor, evaluate and continuously improve model performance, as well as automate these tasks using one or more tools for MLOps
- Understanding of Vector database offerings on AWS
- Understanding of Multi-task Language Understanding MMLU
- Data integration, cleansing, transformation, and visualization using Python packages, SQL etc.
- AWS services such as Glue, EMR, Athena, DynamoDB, StepFunctions, EKS etc
- Experience with an IaC tool such as CloudFormation, CDK or Terraform

**Education**:
Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field. Relevant certifications in AWS or cloud technologies are a plus.

**Why Avahi**:

- Join a dynamic startup environment with a strong emphasis on innovation and collaboration.
- Make a meaningful impact on the company's growth and technical direction.
- Work with a team of highly skilled professionals who are passionate about technology.
- Competitive compensation package, including salary, benefits, and opportunities for career advancement.

**Experience**:

- Amazon Web Services (AWS): 3 years (required)
- Python (Programming Language): 3 years (required)
- ML tools/technique: 5 years (required)

**Language**:

- English (required)

Ability to Relocate:

- 09500, Ciudad de México: Relocate before starting work (required)

Work Location: Hybrid remote in 09500, Ciudad de México

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