Senior Ai Developer

Summary

Join Datacom's innovative team as a Senior AI Developer and contribute to the development of cutting-edge AI solutions. You will design, develop, and deploy advanced AI models, collaborating with data scientists and engineers. Responsibilities include model development, data engineering, model deployment, research and innovation, and collaboration with cross-functional teams. This role requires strong proficiency in Python and AI/ML frameworks, experience with data preprocessing and model evaluation, and knowledge of cloud platforms and containerization technologies. Datacom offers a dynamic work environment with perks such as remote work, flexible hours, and professional development opportunities.

Requirements

• Strong proficiency in Python programming language and AI/ML frameworks (TensorFlow, PyTorch, Keras)
• Solid understanding of machine learning algorithms (e.g., linear regression, logistic regression, decision trees, random forests, neural networks)
• Experience with data preprocessing, feature engineering, and model evaluation
• Knowledge of cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes)
• Familiarity with generative AI technologies and large language models (LLMs)
• Familiarity with natural language processing (NLP) and computer vision applications
• Strong problem-solving and analytical skills
• Excellent communication and collaboration skills
• A passion for learning and staying up-to-date with the latest AI trends

Responsibilities

• Design, develop, and implement complex AI models, including machine learning and deep learning models
• Experiment with various algorithms and techniques to optimize model performance
• Collaborate with data scientists to refine data pipelines and feature engineering
• Work with large and complex datasets to extract meaningful insights
• Clean, preprocess, and transform data into suitable formats for model training
• Develop efficient data pipelines and data ingestion processes
• Deploy AI models into production environments, ensuring scalability and reliability
• Monitor model performance and implement retraining strategies as needed
• Collaborate with infrastructure teams to optimize deployment and infrastructure costs
• Stay up-to-date with the latest advancements in AI and machine learning
• Conduct research and experiments to explore new techniques and applications
• Share knowledge and insights with the team through presentations and technical discussions
• Work closely with cross-functional teams, including data scientists, engineers, and product managers
• Communicate effectively with technical and non-technical stakeholders
• Contribute to a positive and collaborative team culture

Preferred Qualifications

• Experience with natural language processing (NLP) and computer vision techniques
• Knowledge of MLOps practices and tools
• Experience with big data technologies (Hadoop, Spark)
• Experience with frontend technologies like React JS

Benefits

• Social events
• Chill-out spaces
• Remote working
• Flexi-hours
• Professional development courses