Dataviv Technologies - Machine Learning Engineer - Deep Learning

Location :

Experience :

Employment Type :

Key Responsibilities

• Design, implement, and optimize ML/DL models for real-world applications (classification, regression, NLP, computer vision, etc.).
• Work with data pipelines : preprocessing, feature engineering, and exploratory data analysis (EDA).
• Deploy ML models on cloud environments (AWS Sagemaker, GCP Vertex AI, Azure ML, or similar).
• Build and maintain FastAPI endpoints for serving models and integrating with front-end and backend systems.
• Collaborate with cross-functional teams to define business problems and translate them into ML solutions.
• Optimize model performance, scalability, and monitoring in production.
• Stay updated with the latest trends in ML, DL, and cloud-native AI Skills & Qualifications :
• Bachelors/Masters degree in Computer Science, Data Science, AI/ML, or related ML/DL Expertise :
• Proficiency in Python and ML/DL libraries (TensorFlow, PyTorch, scikit-learn).
• Experience with model training, hyperparameter tuning, evaluation, and Knowledge :
• Hands-on with at least one cloud platform (AWS, GCP, or Azure).
• Familiarity with containerization (Docker) and orchestration (Kubernetes) is a Science Knowledge :
• Strong in data preprocessing, feature engineering, and exploratory analysis.
• Understanding of SQL and NoSQL Development :
• Experience with FastAPI (preferred) or Flask/Django REST for model deployment.
• Familiarity with CI/CD pipelines, version control (Git), and ML model lifecycle management Skills :
• Knowledge of NLP (transformers, LLMs) or Computer Vision (CNNs, object detection).
• Exposure to big data frameworks (Spark, Hadoop).
• Experience in deploying scalable AI solutions for production workloads.