19 may
|
Provectus IT
|
Santander
19 may
Provectus IT
Santander
Postúlate en Kit Empleo: kitempleo.com.co/empleo/1ac1vl
About Project
Provectus helps companies adopt ML/AI to transform the ways they operate, compete, and drive value.
The focus of the company is on building ML Infrastructure to drive end-to-end AI transformations, assisting businesses in adopting the right AI use cases, and scaling their AI initiatives organization-wide in such industries as Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, Manufacturing, and Internet businesses.
Asan ML Engineer, you'll beprovided with all opportunities for development and growth.
Let's work together to build a better future for everyone!
Responsibilities
Technical Delivery (60%)
Design and implement end-to-end ML solutions from experimentation to production;
Build scalable ML pipelines and infrastructure;
Optimize model performance, efficiency, and reliability;
Write clean, maintainable, production-quality code;
Conduct rigorous experimentation and model evaluation;
Troubleshoot and resolve complex technical challenges.
Collaboration and Contribution (25%)
Mentor junior and mid-level ML engineers;
Conduct code reviews and provide constructive feedback;
Share knowledge through documentation, presentations, and workshops;
Collaborate with cross-functional teams (DevOps, Data Engineering, SAs);
Innovation and Growth (15%)
Stay current with ML research and emerging technologies;
Propose improvements to existing solutions and processes;
Contribute to the development of reusable ML accelerators;
Participate in technical discussions and architectural decisions.
Requirements
ML Fundamentals: supervised, unsupervised, and reinforcement learning;
Model Development: feature engineering, model training, evaluation, hyperparameter tuning, and validation;
ML Frameworks: classical ML libraries, TensorFlow, PyTorch, or similar frameworks;
LLMs and Generative AI
LLM Applications: Experience building production LLM-based applications;
Prompt Engineering:
Ability to design effective prompts and chain-of-thought strategies;
RAG Systems: Experience building retrieval-augmented generation architectures;
Vector Databases: Familiarity with embedding models and vector search;
LLM Evaluation: Experience with evaluation metrics and techniques for LLM outputs.
Data and Programming
Python: Advanced proficiency in Python for ML applications;
Data Manipulation: Expert with pandas, numpy, and data processing libraries;
SQL: Ability to work with structured data and databases;
Data Pipelines: Experience building ETL/ELT pipelines- Big Data: Experience with Spark or similar distributed computing frameworks.
MLOps and Production
Model Deployment: Experience deploying ML models to production environments;
Containerization: Proficiency with Docker and container orchestration;
CI/CD: Understanding of continuous integration and deployment for ML;
Monitoring: Experience with model monitoring and observability;
Experiment Tracking: Familiarity with MLflow, Weights and Biases, or similar tools.
Cloud and Infrastructure
AWS Services: Strong experience with AWS ML services (SageMaker, Lambda, etc.);
GCP Expertise: Advanced knowledge of GCP ML and data services;
Cloud Architecture: Understanding of cloud-native ML architectures;
Infrastructure as Code: Experience with Terraform, CloudFormation, or similar.
Will be a plus
Practical experience with cloud platforms (AWS stack is preferred, e.g. Amazon SageMaker, ECR, EMR, S3, AWS Lambda);
Practical experience with deep learning models;
Experience with taxonomies or ontologies;
Practical experience with machine learning pipelines to orchestrate complicated workflows;
Practical experience with Spark/Dask, Great Expectations.
What We Offer
Fully remote setup;
A budget for your medical insurance;
Paid sick leave, vacation, public holidays;
Continuous learning support, including unlimited AWS certification sponsorship.
Interview stages
Recruitment Interview;
HR Interview;
HM Interview.
We are waiting for you to become a part of our team!
#J-*****-Ljbffr
Postúlate en Kit Empleo: kitempleo.com.co/empleo/1ac1vl
📌 Senior Ml Engineer (Genai) (Santander)
🏢 Provectus IT
📍 Santander