Machine Learning

1 day ago

Lahore, Punjab, Pakistan Sprouto Group Full time $40,000 - $80,000 per year

About Sprouto:

Sprouto is a forward-thinking AI-driven software development company delivering innovative AI solutions, mobile applications, digital transformation, and bespoke business systems. Join us to work on cutting-edge AI projects and develop custom Large Language Models (LLMs) that drive business impact.

The Role:

We are looking for a skilled Machine Learning & AI Engineer with 2+ years of experience to design, develop, and deploy AI/ML solutions, including custom LLMs, leveraging Google Cloud's Vertex AI. You will work closely with cross-functional teams to build scalable, robust, and high-performing AI systems.

Key Responsibilities:

  • Design, implement, and deploy machine learning models and AI algorithms, including custom LLMs.
  • Build and maintain ML pipelines on Google Cloud Vertex AI for LLM development and traditional ML models.
  • Prepare data, fine-tune, evaluate, and deploy LLMs effectively.
  • Collaborate with data scientists, engineers, and product managers to translate business requirements into AI solutions.
  • Monitor model performance and implement improvements.
  • Stay updated on the latest AI, ML, and LLM developments.
  • Document technical designs and processes.

Required Skills & Experience:

  • Bachelor's degree in Computer Science, AI, Data Science, or related field.
  • Minimum 2 years of experience in ML/AI engineering, with exposure to NLP or LLMs.
  • Proficiency in Python and ML frameworks (TensorFlow/PyTorch).
  • Practical experience with Google Cloud Platform, especially Vertex AI.
  • Knowledge of ML algorithms and NLP libraries (Transformers, spaCy, NLTK).
  • Experience in deploying and monitoring ML models.
  • Strong problem-solving and communication skills.

Preferred Skills:

  • Direct experience developing or fine-tuning LLMs.
  • Knowledge of LLM architectures (e.g., Transformer, BERT, GPT).
  • Experience with MLOps, CI/CD, Docker/Kubernetes, and big data tools.
  • Advanced degree (Master's/PhD) in AI/NLP or relevant certifications (e.g., Google Cloud Professional ML Engineer).

Job Type: Full-time

Work Location: In person

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