Python AI/ML Developer Job at DigiXValley | 2-3 Years Exp

We are seeking a skilled Python Developer with expertise in Artificial Intelligence and Machine Learning to join our dynamic team. The ideal candidate will design, develop, and deploy AI-powered applications, pipelines, and solutions, ensuring performance, scalability, and maintainability in production environments.

Total Experience : 2-3 year

Key Responsibilities:

• Design, develop, test, and deploy scalablePython applications.
• Write clean, efficient, and modular code integratingAI/ML modelsinto production systems.
• DevelopREST APIsforAI servicesand manage data pipelines forML workflows.
• Build, train, evaluate, and optimizemachine learning modelsusing libraries such asTensorFlow,PyTorch, or scikit-learn.
• Deploy models using ML frameworks or cloud-based AI services(AWS SageMaker, Azure ML, or GCP AI Platform).
• Conduct feature engineering,model selection, hyperparameter tuning,and performance evaluation.
• Work with structured and unstructured data(CSV, JSON, images, text, etc.).
• Developdata preprocessing pipelinesensuring data quality and readiness for modelling.
• Participate in code reviews, design discussions, and agile ceremonies (stand-ups, sprint planning).
• Stay updated with the latest AI/ML trends, architectures, and algorithms.
• Containerize applications usingDocker.
• Deploy AI models in production usingCI/CD pipelines.

Required Qualifications:

• Bachelor’s or Master’s degree inComputer Science, Data Science, AI, or related fields.
• 2-3 yearsof hands-on experience in Python development.
• Strong understanding ofAI/ML concepts, algorithms, and workflows.
• Experience withmachine learning libraries(TensorFlow, PyTorch, Keras, scikit-learn).
• Proficiency indata manipulation libraries(Pandas, NumPy) and visualization tools (Matplotlib, Seaborn).
• Experience deploying AI models into production systems.
• Familiarity withAPI developmentusing frameworks like Flask or FastAPI.
• Understanding ofSQL and NoSQL databases.
• Experience inNatural Language Processing (NLP)orComputer Vision (CV)projects.
• Knowledge ofMLOps practices, ML model monitoring, and continuous training.
• Familiarity withbig data tools(Spark, Hadoop) is a plus.
• Working experience withcloud platforms(AWS, Azure, GCP) for AI services.
• Exposure toDeep Learning architectures(CNNs, RNNs, Transformers).