Job
Description
As an AI/ML Engineer, you will be responsible for leveraging your expertise in AI/ML to develop cutting-edge solutions. Here is a breakdown of what the role entails: **Key Responsibilities:** - Utilize your 6+ years of experience in AI/ML to develop innovative solutions - Demonstrate proficiency in Python and various ML libraries including scikit-learn, XGBoost, pandas, NumPy, matplotlib, and seaborn - Apply a strong understanding of machine learning algorithms and deep learning architectures such as CNNs, RNNs, and Transformers - Hands-on experience with TensorFlow, PyTorch, or Keras - Engage in data preprocessing, feature selection, EDA, and model interpretability - Comfortably develop APIs and deploy models using Flask, FastAPI, or similar technologies - Work with MLOps tools like MLflow, Kubeflow, DVC, and Airflow - Familiarity with cloud platforms like AWS (SageMaker, S3, Lambda), GCP (Vertex AI), or Azure ML - Proficiency in version control (Git), CI/CD processes, and containerization with Docker - Bonus skills include knowledge of NLP frameworks, computer vision experience, Reinforcement Learning, Generative AI, vector databases, and LangChain for AI agent building - Familiarity with data labeling platforms and annotation workflows **Qualifications Required:** - Bachelors or Masters in Computer Science, Engineering, Data Science, AI/ML, Mathematics, or related field - Analytical mindset with strong problem-solving skills - Excellent communication and collaboration abilities - Ability to work independently in a fast-paced, agile environment - Passion for AI/ML and eagerness to stay updated with the latest developments Please note that the above description provides a comprehensive overview of the AI/ML Engineer role, including the required qualifications and key responsibilities. As an AI/ML Engineer, you will be responsible for leveraging your expertise in AI/ML to develop cutting-edge solutions. Here is a breakdown of what the role entails: **Key Responsibilities:** - Utilize your 6+ years of experience in AI/ML to develop innovative solutions - Demonstrate proficiency in Python and various ML libraries including scikit-learn, XGBoost, pandas, NumPy, matplotlib, and seaborn - Apply a strong understanding of machine learning algorithms and deep learning architectures such as CNNs, RNNs, and Transformers - Hands-on experience with TensorFlow, PyTorch, or Keras - Engage in data preprocessing, feature selection, EDA, and model interpretability - Comfortably develop APIs and deploy models using Flask, FastAPI, or similar technologies - Work with MLOps tools like MLflow, Kubeflow, DVC, and Airflow - Familiarity with cloud platforms like AWS (SageMaker, S3, Lambda), GCP (Vertex AI), or Azure ML - Proficiency in version control (Git), CI/CD processes, and containerization with Docker - Bonus skills include knowledge of NLP frameworks, computer vision experience, Reinforcement Learning, Generative AI, vector databases, and LangChain for AI agent building - Familiarity with data labeling platforms and annotation workflows **Qualifications Required:** - Bachelors or Masters in Computer Science, Engineering, Data Science, AI/ML, Mathematics, or related field - Analytical mindset with strong problem-solving skills - Excellent communication and collaboration abilities - Ability to work independently in a fast-paced, agile environment - Passion for AI/ML and eagerness to stay updated with the latest developments Please note that the above description provides a comprehensive overview of the AI/ML Engineer role, including the required qualifications and key responsibilities.
