Software AI Engineer

We are seeking a skilled and experienced Software AI Engineer 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. This role involves collaborating with cross-functional teams to create intelligent applications, optimize model performance, and seamlessly integrate AI/ML solutions into existing systems and business workflows.

Key Responsibilities:
- Design, develop, train, and optimize machine learning and deep learning models for practical, real-world applications.
- Build AI/ML pipelines encompassing 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), Natural Language Processing (NLP), and Retrieval-Augmented Generation (RAG) solutions as needed.
- 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 best practices including model versioning, monitoring, testing, and deployment automation.
- Optimize model performance, scalability, reliability, and efficient cloud resource utilization.
- Collaborate effectively with cross-functional teams and provide technical guidance to junior engineers.

Required Qualifications:
- Minimum of 2+ 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 including PyTorch, TensorFlow, or Keras.
- Solid understanding of machine learning algorithms, deep learning techniques, 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 containerization and orchestration tools such as Docker and Kubernetes.
- Familiarity with CI/CD pipelines and model-serving technologies.
- Experience with MLOps tools like MLflow or Kubeflow.
- Proficiency in developing REST APIs using FastAPI, Flask, or Django.
- Working knowledge of SQL, databases, Git version control, automated testing, and monitoring tools.

Preferred Qualifications and Benefits:
- Familiarity with Hugging Face Transformers, LangChain, LlamaIndex, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) is highly desirable.

This position offers the opportunity to work on cutting-edge AI technologies and contribute to impactful projects within a collaborative environment. Candidates passionate about advancing AI/ML solutions and eager to work with the latest frameworks and cloud technologies will find this role rewarding.