Software Engineer - AI/ML
At a glance
Mid-level AI Engineering role at Devsinc. Lahore · full-time.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Prepare datasets by gathering and cleaning data, then shaping features for model development
- Build, train, test and tune machine learning models, including deep learning approaches for business problems
- Create LLM-based applications with prompt design and generative AI, adding RAG workflows, embeddings and vector databases when needed
- Assess model results, connect models to applications through REST APIs, and help deploy and maintain them
- Work with software engineers, product teams and clients to shape solutions, explain your approach and move opportunities toward closure
What you bring
- At least one year of hands-on AI/ML development, gained professionally or through relevant practical work
- A bachelor's degree in computer science, AI, data science, software engineering or a related subject
- Python and object-oriented programming ability, with working knowledge of NumPy, Pandas and Scikit-learn
- Understanding of supervised and unsupervised learning, data preparation and model evaluation, plus familiarity with PyTorch or TensorFlow
- Some experience with generative AI, LLMs, prompt design or AI APIs, alongside familiarity with REST APIs, Git and deployment practices
Who this fits
This mid-level, hands-on engineering role suits someone who can explain AI/ML project decisions and results while communicating with clients and collaborating across teams. The job is based onsite in Lahore, Pakistan.
From the employer
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.
Requirements
- 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.
Benefits
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.
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