Machine Learning Developer/Engineer

Link Group specializes in building tech teams for Fortune 500 companies and startups. The role involves working on AI-driven projects in the finance/stock exchange industry, focusing on predictive analytics, fraud detection, and automated trading strategies.

• At least 3+ years of experience in machine learning development.
• Proficiency in Python or R, with experience in ML libraries such as TensorFlow, PyTorch, or Scikit-learn.
• Strong understanding of machine learning algorithms, deep learning, and statistical modeling.
• Experience with big data tools such as Spark or Hadoop.
• Hands-on experience with SQL/NoSQL databases and data processing pipelines.
• Knowledge of MLOps, including model deployment, versioning, and monitoring.
• Experience working with cloud platforms (AWS, GCP, or Azure).
• Good command of English.

Nice to have:

• Experience with computer vision or NLP.
• Familiarity with reinforcement learning techniques.
• Background in real-time data processing and streaming frameworks like Kafka.
• Knowledge of DevOps practices, containerization (Docker, Kubernetes), and CI/CD for ML.
• A degree in Computer Science, Data Science, or a related field.

• Develop, train, and optimize machine learning models for real-world applications.
• Work with large-scale structured and unstructured datasets to extract insights.
• Deploy and monitor ML models in production using MLOps best practices.
• Collaborate with data scientists, engineers, and stakeholders to define project requirements.
• Implement and optimize feature engineering and data preprocessing techniques.
• Stay up to date with the latest AI/ML trends and technologies.