Job Summary
We are seeking a highly skilled
AI Engineer with strong Python expertise
to design, develop, and deploy scalable AI/ML solutions. The ideal candidate will have hands-on experience in machine learning, deep learning, model deployment, and building production-grade AI systems. This role requires strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.
Key Responsibilities
- Design, develop, and implement AI/ML models using Python.
- Build and optimize machine learning pipelines for structured and unstructured data.
- Develop scalable APIs for model inference and real-time predictions.
- Work with large datasets for data preprocessing, feature engineering, and model training.
- Deploy AI/ML models into production environments (AWS/Azure/GCP).
- Monitor model performance and implement model retraining strategies.
- Collaborate with Data Engineers, DevOps, and Product teams.
- Stay updated with the latest advancements in AI/ML technologies.
Required Skills & Qualifications
- Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field.
- 3+ years of experience in AI/ML development.
- Strong proficiency in Python .
- Hands-on experience with:
- Machine Learning libraries: Scikit-learn, XGBoost, LightGBM
- Deep Learning frameworks: TensorFlow / PyTorch / Keras
- NLP libraries: NLTK, SpaCy, Transformers (preferred)
- Experience with data manipulation using Pandas, NumPy.
- Strong understanding of:
- Supervised & Unsupervised Learning
- Model evaluation techniques
- Feature engineering
- Experience with REST APIs (FastAPI/Flask).
- Knowledge of cloud platforms (AWS/Azure/GCP).
- Experience with Docker & CI/CD pipelines.
- Strong SQL knowledge.
Preferred Qualifications
- Experience with Generative AI / LLMs.
- Experience with MLOps tools (MLflow, SageMaker, Kubeflow).
- Knowledge of vector databases (Pinecone, FAISS, Weaviate).
- Experience with real-time inference systems.
- Familiarity with distributed computing (Spark/PySpark).
Nice to Have
- Experience with Agentic AI frameworks (LangChain, AutoGen, CrewAI).
- Experience with RAG (Retrieval-Augmented Generation) systems.
- Experience with prompt engineering.
Tags & focus areas
Used for matching and alerts on DevFound Fulltime Ai Ai Engineer Machine Learning Deep Learning Data Engineer