Senior AI & ML Engineer

Summary

Join BlackStone eIT, a leading computer software company, as a Senior AI & ML Engineer. Develop and deploy advanced AI and ML models to create impactful solutions across various projects. Collaborate with data scientists, engineers, and product teams to design cutting-edge algorithms and leverage large datasets. Your work will significantly enhance products, improve user experience, and solve complex business challenges. This role offers the chance to make a substantial impact in the AI/ML field within a forward-thinking organization. A minimum of 6 years of experience is required, along with expertise in machine learning algorithms and programming languages like Python, Java, or Scala. Remote work and flexible time are offered, with relocation considered after 6 months based on performance.

Requirements

• Proven experience as a Senior AI & ML Engineer or a similar role with at least 6 years of hands-on experience
• Strong expertise in machine learning algorithms, deep learning, and AI model development
• Proficiency in programming languages such as Python, Java, or Scala
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, Keras, PyTorch, scikit-learn)
• In-depth understanding of data preparation, feature engineering, and model evaluation processes
• Experience with data visualization tools and techniques
• Strong analytical and problem-solving skills with a keen attention to detail
• Excellent communication and teamwork skills to work effectively with diverse teams
• A degree in Computer Science, Data Science, Electrical Engineering, or a related field

Responsibilities

• Develop and deploy advanced artificial intelligence (AI) and machine learning (ML) models to drive impactful solutions for our diverse range of projects
• Collaborate with data scientists, engineers, and product teams to design cutting-edge algorithms and leverage large datasets to extract valuable insights
• Enhance our products, improve user experience, and solve complex business challenges

Preferred Qualifications

• Ability to work with big data technologies (Hadoop, Spark, etc.)
• A Master's or PhD is preferred

Benefits

• Remote Model
• Time Flexibility
• Relocation after 6months based on performance