Machine Learning Engineer
Machine Learning Engineer
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Salary Not Disclosed
1 Vacancy
Job Description
Technologies:
- Python
- TensorFlow / PyTorch / Keras / scikitlearn
- AWS / GCP / Azure
- Docker / Kubernetes
- Large Language Models (LLMs)
- Generative AI (GenAI)
- OOP
Requirements:
- 4 years of Machine Learning experience at a startup or enterprise
- 6 months of experience with LLMs and GenAI
- Client delivery experience
- Strong English communication skills (C1/C2)
- Bachelor s degree in Computer Science or related field
- Experience with cloud environments (AWS GCP Azure)
- Proficiency in NLP techniques and Python programming
- Knowledge of containerization technologies (Docker/Kubernetes)
- Experience in ML frameworks like TensorFlow PyTorch Keras
- Understanding of data structures software architecture and OOP principles
Preferred Experience (but not required):
- Agent development Data privacy Finetuning LLMs
- MLOps Model decay Retrievalaugmented generation (RAG) optimization
- PySpark Quantization Security Vector databases
Responsibilities:
- Design and implement ML systems
- Contribute to the AI platform and products
- Run ML experiments tests and finetune models
- Stay updated on emerging ML trends
- Act as an ML SME for client projects
Benefits:
- 20 days of PTO
- Local public holidays off
- Certification reimbursement (e.g. AWS)
- Remote (LATAM and India working US hours)
enterprise,scikit-learn,azure,retrieval-augmented generation (rag) optimization,fine-tuning llms,python,oop,quantization,machine learning,nlp,keras,pyspark,tensorflow,kubernetes,pytorch,gcp,ml,model decay,vector databases,data privacy,aws,agent development,docker,security,mlops
Employment Type
Full Time
Company Industry
Key Skills
- Industrial Maintenance
- Machining
- Mechanical Knowledge
- CNC
- Precision Measuring Instruments
- Schematics
- Maintenance
- Hydraulics
- Plastics Injection Molding
- Programmable Logic Controllers
- Manufacturing
- Troubleshooting
