Senior Software Engineer - AI/MLDeveloper

Devsinc, LLC; Lahore; On-site; PKR 2,009,000 - 3,348,000; Full time

Job summary

Devsinc, LLC in Pakistan is seeking a Senior AI/ML Developer to design, develop, deploy, and maintain scalable AI/ML solutions. You will work with Python, ML libraries, and cloud platforms to productionize models and integrate them into business workflows.

You will collaborate with cross-functional teams, optimize model performance, and build AI-powered applications with FastAPI, Flask, or Django. This role demands deep knowledge of ML, data processing, and MLOps practices.

Qualifications

• 4+ years of professional AI/ML engineering experience.
• Strong Python proficiency and ML library ecosystem.
• Hands-on with PyTorch or TensorFlow and deployment pipelines.

Responsibilities

• Design, train, and optimize ML/DL models for real-world apps.
• Build ML pipelines from preprocessing to inference.
• Develop AI apps with Python and ML libraries.
• Deploy and monitor production models on cloud platforms.
• Create REST APIs with FastAPI/Flask/Django.
• Apply MLOps for versioning, testing, and deployment.
• Collaborate with teams and mentor junior engineers.

Skills

Python

ML libraries (NumPy Pandas SciPy Scikt

PyTorch TensorFlow Keras

Cloud platforms (AWS Azure GCP)

Docker Kubernetes

MLflow Kubeflow

REST APIs (FastAPI Flask Django)

SQL Databases

Tools

Docker

Kubernetes

MLflow

Kubeflow

FastAPI

Flask

Django

Job description

We are looking for a skilled and experienced Senior AI/ML Developer to design, develop, deploy, and maintain scalable Artificial Intelligence and Machine Learning solutions. The ideal candidate will have strong expertise in Python programming, machine learning algorithms, deep learning frameworks, cloud platforms, and production-grade model deployment.

The candidate will collaborate with cross-functional teams to develop intelligent applications, optimize model performance, and integrate AI/ML solutions into existing systems and business workflows.

• Design, develop, train, and optimize machine learning and deep learning models for real-world applications.

• Build AI/ML pipelines for data preprocessing, feature engineering, model training, evaluation, and inference.

• Develop AI-powered applications using Python and relevant AI/ML libraries and frameworks.

• Implement Generative AI, Large Language Models (LLMs), NLP, and Retrieval-Augmented Generation (RAG) solutions where required.

• Deploy, monitor, and maintain production-ready AI/ML models on cloud platforms.

• Develop scalable APIs and backend services using FastAPI, Flask, or Django.

• Implement MLOps practices for model versioning, monitoring, testing, and deployment automation.

• Optimize model performance, scalability, reliability, and cloud resource utilization.

• Collaborate with cross-functional teams and provide technical guidance to junior engineers.

Responsibilities:

• Minimum 4+ years of professional experience in AI/ML engineering, machine learning, or a related field.
• Strong proficiency in Python and libraries such as NumPy, Pandas, SciPy, and Scikit-learn.
• Hands-on experience with AI/ML and deep learning frameworks such as PyTorch, TensorFlow, or Keras.
• Strong understanding of machine learning algorithms, deep learning, feature engineering, model evaluation, and hyperparameter tuning.
• Experience with at least one major cloud platform: AWS, Microsoft Azure, or Google Cloud Platform (GCP).
• Practical experience deploying AI/ML models into production environments.
• Knowledge of Docker, Kubernetes, CI/CD pipelines, and model-serving technologies.
• Familiarity with MLOps tools such as MLflow or Kubeflow.
• Experience developing REST APIs using FastAPI, Flask, or Django.
• Working knowledge of SQL, databases, Git, automated testing, and monitoring tools.
• Familiarity with Hugging Face Transformers, LangChain, LlamaIndex, LLMs, and RAG is preferred.