Associate Software Engineer - AI/ML
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Before you apply
LocationLahore, Punjab, Pakistan
Typefull-time
SeniorityEntry
ExperienceUp to 1 yrs
DepartmentCluster Head
Company size501–1,000 people
PostedOct 22, 2026 · 2w ago
Verified live3d ago
At a glanceSummarised by Seekless from the posting.
Develop, train, test, and optimize machine learning models
Assist in designing and implementing AI-powered solutions using machine learning and deep learning techniques
Collect, clean, preprocess, and analyze structured and unstructured datasets
Work with libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch
Explore and implement Generative AI solutions using Large Language Models (LLMs), APIs, and prompt engineering
Evaluate model performance using appropriate metrics and improve accuracy and efficiency
Collaborate with software engineers and cross-functional teams to integrate AI/ML models into applications
Maintain technical documentation and follow best practices for code quality, testing, and version control
Stay updated with emerging AI/ML technologies, tools, and industry trends
Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field
6 months to 1 year of practical experience in AI/ML development through professional work, internships, or relevant projects
Strong programming fundamentals and a basic understanding of machine learning concepts
Proficiency in Python programming
Working knowledge of NumPy, Pandas, and Scikit-learn
Understanding of supervised and unsupervised learning algorithms
Basic knowledge of deep learning concepts and frameworks such as TensorFlow or PyTorch
Familiarity with data preprocessing, feature engineering, and model evaluation techniques
Basic understanding of REST APIs, Git, and model deployment
Strong analytical, problem-solving, and communication skills
A portfolio of relevant projects or practical implementations is a plus
Familiarity with Generative AI, LLMs, and prompt engineering is an advantage
Skills
Python
NumPy
Pandas
Scikit-learn
TensorFlow
PyTorch
REST APIs
Git
Generative AI
LLMs
prompt engineering
About the role
Devsinc is looking for motivated AI/ML Associates to join our team and contribute to the development of innovative Artificial Intelligence and Machine Learning solutions. This role offers an opportunity to work on real-world projects, enhance technical expertise, and grow in a collaborative, technology-driven environment.
Requirements
Responsibilities
Develop, train, test, and optimize machine learning models for real-world applications.
Assist in designing and implementing AI-powered solutions using machine learning and deep learning techniques.
Collect, clean, preprocess, and analyze structured and unstructured datasets.
Work with libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch.
Explore and implement Generative AI solutions using Large Language Models (LLMs), APIs, and prompt engineering.
Evaluate model performance using appropriate metrics and improve accuracy and efficiency.
Collaborate with software engineers and cross-functional teams to integrate AI/ML models into applications.
Maintain technical documentation and follow best practices for code quality, testing, and version control.
Stay updated with emerging AI/ML technologies, tools, and industry trends.
Qualification:
Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.
6 months to 1 year of practical experience in AI/ML development through professional work, internships, or relevant projects.
Strong programming fundamentals and a basic understanding of machine learning concepts.
Nice to have
A portfolio of relevant projects or practical implementations is a plus.
Required Skills:
Proficiency in Python programming.
Working knowledge of NumPy, Pandas, and Scikit-learn.
Understanding of supervised and unsupervised learning algorithms.
Basic knowledge of deep learning concepts and frameworks such as TensorFlow or PyTorch.
Familiarity with data preprocessing, feature engineering, and model evaluation techniques.
Basic understanding of REST APIs, Git, and model deployment.
Familiarity with Generative AI, LLMs, and prompt engineering is an advantage.
Strong analytical, problem-solving, and communication skills.