Software Engineer - AI/ML

Devsinc, LLC; Lahore; On-site; PKR 1,500,000 - 2,700,000; Full time

Benefits offered by this job

Provident Fund

Medical Inpatient Facility

Medical Outpatient Facility

Paid Overtime

In-house Subsidized Lunch & Dinner

Gym Facility

Entertaining Activities

Interest Free Loan Facility

Advance Salaries and Sports Allowance

Job summary

Devsinc, LLC is seeking a highly skilled AI/ML & Data Engineer to design, implement, and optimize ML solutions aligned with client requirements. The role emphasizes hands-on engineering coupled with strong business acumen to architect, present, and drive opportunities to closure.

You will collaborate with software engineers and product teams to deliver AI-driven applications, maintain clean code, and stay updated with the latest AI/ML technologies.

Qualifications

• Proficiency in Python programming and object-oriented concepts.
• Experience with data preprocessing and feature engineering.
• Understanding of ML lifecycle from data prep to deployment.
• Ability to explain approaches, implementations, and results.

Responsibilities

• Develop, train, test, and optimize ML models for real-world applications.
• Perform data collection, cleaning, preprocessing, and feature engineering.
• Implement ML and DL algorithms to solve business problems.
• Develop AI-powered applications using LLMs, prompt engineering, and Generative AI techniques.
• Build RAG pipelines and work with embeddings and vector databases.

Skills

Python programming

NumPy

Pandas

Scikit-learn

Problem solving

Communication

Education

Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or related field

Tools

REST APIs

Git

PyTorch

TensorFlow

Job description

We are looking for a highly skilled AI/ML & Data Engineer with strong technical expertise, excellent communication skills, and the ability to engage with clients and drive opportunities toward closure. The ideal candidate will combine hands-on engineering capabilities with strong business acumen - someone who can understand complex client requirements, architect the right solution, present it confidently, and help convert opportunities into successful projects.

Core Responsibilities

• Develop, train, test, and optimize machine learning models for real-world applications.
• Perform data collection, cleaning, preprocessing, and feature engineering to prepare datasets for model development.
• Implement machine learning and deep learning algorithms to solve business problems.
• Develop AI-powered applications using Large Language Models (LLMs), prompt engineering, and Generative AI techniques.
• Build and integrate Retrieval-Augmented Generation (RAG) pipelines and work with embeddings and vector databases where required.
• Evaluate model performance using appropriate metrics and improve accuracy, efficiency, and reliability.
• Integrate AI/ML models into applications using REST APIs and backend services.
• Assist in deploying models to production and maintaining their performance.
• Collaborate with software engineers, product teams, and other stakeholders to deliver AI-driven solutions.
• Maintain clean, reusable, and well-documented code while following software development best practices.
• Stay updated with emerging AI/ML technologies, frameworks, and industry trends.

Qualification

• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.
• At least 1 year of hands-on experience in AI/ML development through professional employment or relevant practical experience.
• Experience working on AI/ML projects, with the ability to explain the approach, implementation, and results.
• Understanding of the machine learning development lifecycle, from data preparation to model evaluation and deployment.
• Ability to troubleshoot technical issues and work collaboratively within a team.

• Proficiency in Python programming and object-oriented programming concepts.
• Working knowledge of NumPy, Pandas, and Scikit-learn.
• Understanding of supervised and unsupervised learning algorithms.
• Familiarity with deep learning frameworks such as PyTorch or TensorFlow.
• Knowledge of data preprocessing, feature engineering, and model evaluation techniques.
• Basic experience with Generative AI, LLMs, prompt engineering, or AI APIs.
• Familiarity with REST APIs, Git, and model deployment practices.
• Strong analytical thinking, problem-solving, and communication skills.

Provident Fund, Medical Inpatient Facility, Medical Outpatient Facility, Paid Overtime, In-house Subsidized Lunch & Dinner, Gym Facility, Entertaining Activities, Interest Free Loan Facility, Advance Salaries and Sports Allowance.