Job Overview:

We are looking for a Machine Learning Engineer to develop and deploy AI-driven solutions for real-world applications. The ideal candidate will have expertise in data science, deep learning, and model optimization. This position is open for both part-time and full-time professionals.

Responsibilities:

• Design, develop, and deploy machine learning models for various applications.
• Preprocess and analyze large datasets to extract meaningful insights.
• Implement and fine-tune deep learning models using TensorFlow, PyTorch, or Keras.
• Optimize model performance by tuning hyperparameters and reducing computational costs.
• Work with NLP, Computer Vision, or Predictive Analytics as needed.
• Deploy ML models using Docker, Kubernetes, and cloud services (AWS, GCP, Azure).
• Implement MLOps best practices for model lifecycle management.
• Develop RESTful APIs to integrate ML models into production systems.
• Stay updated with the latest research and advancements in AI/ML.
• Collaborate with data scientists, engineers, and domain experts to refine models.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field.
• Proficiency in Python, R, or Julia for ML development.
• Strong understanding of ML algorithms, data structures, and probability/statistics.
• Experience with deep learning frameworks (TensorFlow, PyTorch, Keras).
• Knowledge of NLP (transformers, BERT, GPT) and Computer Vision (OpenCV, YOLO, CNNs) is a plus.
• Familiarity with SQL and NoSQL databases for handling data.
• Experience with ML model deployment, scaling, and optimization.
• Proficiency in Git, Linux, and cloud computing (AWS, GCP, or Azure).
• Strong analytical and problem-solving skills.
• Ability to work independently for part-time roles and collaboratively for full-time positions.