Senior AI/ML Engineer

3 days ago

Lahore, Punjab, Pakistan Analytiverse Full time $104,000 - $130,878 per year

About the Role

We are seeking a motivated and technically skilled professional to join our team as an AI/ML Engineer (AI/LLM Trainee). The ideal candidate will bring strong expertise in Python development, automation, and cloud infrastructure, along with hands-on experience in data analysis and AI frameworks. This role provides the opportunity to work on cutting-edge projects involving Lang Chain, LangGraph, and cloud-native deployments.

Key Responsibilities

Design, develop, and maintain automation workflows using Cron Jobs, YAML, and GitHub Workflows.

Build and optimize AI-driven applications leveraging LangChain and LangGraph.  Write clean, efficient, and maintainable Python code for automation, data processing, and integration tasks.

Perform data analysis to generate insights and support decision-making.

Deploy, monitor, and manage scalable applications using Docker and Kubernetes.

Collaborate with teams to design and implement solutions on Google Cloud Platform (GCP) or other major cloud infrastructures (AWS/Azure).

Troubleshoot and resolve technical challenges, ensuring system reliability and performance.

Required Qualifications

Bachelor's degree in Computer Science, Data Science, Software Engineering, or a related field.

1.5 – 2 years of professional experience in a similar role.  Strong proficiency in Python and data analysis libraries (Pandas, NumPy).

Solid understanding of algorithms, data structures, and statistical analysis  Familiarity with neural networks and computer vision concepts

Practical knowledge of Docker and Kubernetes.

Familiarity with Lang Chain and LangGraph frameworks.

Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and their AI services

Proven ability to work collaboratively in a fast-paced environment

Excellent problem-solving skills and a passion for innovation

Job Type: Full-time

Experience:

  • ML and Python: 2 years (Preferred)

Location:

  • Lahore (Required)

Work Location: In person

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