Python AI/ML Developer
You will design, develop, and deploy AI-driven applications and machine learning solutions.
Responsibilities
• Develop, train, and optimize AI/ML models using Python.
• Perform data preprocessing, feature engineering, and exploratory data analysis.
• Build and integrate end-to-end ML pipelines into production systems.
• Implement AI use cases in NLP, Computer Vision, or Predictive Analytics.
• Deploy and maintain AI/ML models on cloud environments including AWS, GCP, or Azure.
Required Skills
• 5+ years of experience in AI/ML development.
• Strong proficiency in Python with Pandas, NumPy, and Scikit-learn.
• Hands-on experience with TensorFlow, PyTorch, or Keras.
• Solid understanding of machine learning algorithms, neural networks, and optimization techniques.
• Experience building REST APIs or microservices to serve ML models.
• Familiarity with cloud ML services such as AWS SageMaker, GCP Vertex AI, or Azure ML.
• Any Graduate degree.
Preferred Skills
• Experience with Generative AI and LLMs such as GPT, BERT, or Stable Diffusion.
• Knowledge of big data frameworks like Spark or Hadoop.
• Knowledge of MLOps tools including Docker, Kubernetes, and MLflow.
• Exposure to statistics, probability, and advanced mathematics.
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Responsibilities
• Develop, train, and optimize AI/ML models using Python.
• Perform data preprocessing, feature engineering, and exploratory data analysis.
• Build and integrate end-to-end ML pipelines into production systems.
• Implement AI use cases in NLP, Computer Vision, or Predictive Analytics.
• Deploy and maintain AI/ML models on cloud environments including AWS, GCP, or Azure.
Required Skills
• 5+ years of experience in AI/ML development.
• Strong proficiency in Python with Pandas, NumPy, and Scikit-learn.
• Hands-on experience with TensorFlow, PyTorch, or Keras.
• Solid understanding of machine learning algorithms, neural networks, and optimization techniques.
• Experience building REST APIs or microservices to serve ML models.
• Familiarity with cloud ML services such as AWS SageMaker, GCP Vertex AI, or Azure ML.
• Any Graduate degree.
Preferred Skills
• Experience with Generative AI and LLMs such as GPT, BERT, or Stable Diffusion.
• Knowledge of big data frameworks like Spark or Hadoop.
• Knowledge of MLOps tools including Docker, Kubernetes, and MLflow.
• Exposure to statistics, probability, and advanced mathematics.
Apply tot his job
Apply To this Job