Applied AI & ML Engineer — Production Systems & NLP
Albiware Inc.
Karachi Division
On-site
PKR 33,296,000 - 49,945,000
Full time
14 days+
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Benefits offered by this job
Competitive salary based on experience
Generous PTO
Medical, dental, and vision insurance coverage
401(k) plan
Ongoing learning and career development opportunities
Job summary
A leading restoration technology firm based in Karachi Division is seeking an AI / ML Engineer to design and implement impactful AI systems. You will develop NLP and LLM-based features, collaborate with cross-functional teams, and optimize machine learning models for real-world applications. The ideal candidate will have at least 3 years of experience in AI or software engineering, strong Python skills, and familiarity with deploying ML systems into production. This position offers competitive benefits and a vibrant, supportive work environment.
Qualifications
3+ years of professional experience in AI / ML or software engineering roles.
Hands-on experience with machine learning, NLP, or LLM-based systems.
Experience deploying ML models or AI services into production.
Responsibilities
Design, build, and deploy applied AI and ML features used in production environments.
Collaborate closely with product managers and engineers to deliver impactful AI features.
Train, fine-tune, and optimize domain-specific machine learning models.
Skills
Python
Machine Learning
Natural Language Processing
RESTful APIs
Cloud Platforms (Azure, AWS, GCP)
CI/CD Pipelines
Job description
A leading restoration technology firm based in Karachi Division is seeking an AI / ML Engineer to design and implement impactful AI systems. You will develop NLP and LLM-based features, collaborate with cross-functional teams, and optimize machine learning models for real-world applications. The ideal candidate will have at least 3 years of experience in AI or software engineering, strong Python skills, and familiarity with deploying ML systems into production. This position offers competitive benefits and a vibrant, supportive work environment.