We are seeking a highly skilled and dedicated AI/ML Specialist to join our innovative team. The ideal candidate will be responsible for designing and implementing machine learning models, interpreting complex data, and creating new and improved techniques for machine learning. They will work closely with our data science team to integrate AI/ML algorithms into our operations to automate and improve performance. This role requires a deep understanding of machine learning technologies, artificial intelligence, and data analysis.
Responsibilities
Designing and developing machine learning and deep learning systems.
Running machine learning tests and experiments, and interpreting the results.
Extending existing ML libraries and frameworks.
Collaborating with cross-functional teams to understand business requirements and provide AI/ML solutions.
Required Skills
Proficiency in Python, R, or other programming languages.
Strong understanding of machine learning algorithms and principles.
Experience with AI/ML frameworks such as TensorFlow, PyTorch, or Keras.
The candidate must have a Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field, with a strong focus on AI/ML.
Preferred Skills
Knowledge of Natural Language Processing (NLP).
Familiarity with cloud platforms like AWS, Google Cloud, or Azure.
Experience with Big Data platforms and tools like Hadoop, Spark, or Hive.
Understanding of Deep Learning concepts.
Proficiency in SQL and database management.
Knowledge of data visualization tools like Tableau, PowerBI, or Matplotlib.
Familiarity with software development methodologies like Agile or Scrum.
Experience with version control systems like Git.
Understanding of data structures and algorithms.
Knowledge of statistical analysis and predictive modeling.
Disclaimer :This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data ScientistEmployement Type: Full time