Team Lead Machine Learning

About Us:

IKONIC is a US-based IT company, headquartered in Miami, Florida. It is a group endeavor that mixes experience with agility, honesty, teamwork, trust, and insight into the future. We are a team of top-notch developers who believe in providing solutions to your every problem. Our previous projects and a journey of nine years make us the leading name whom you can trust for adding value to your business. We believe that we can present a solution to your every problem, complementing innovation with sustainability. It is through our established repository of experiences that we offer a unique solution to every problem. Our services are available across the globe in a time zone-aligned manner.

Position Purpose:

We are seeking a highly skilled and motivated AI/ML Engineer with over 4 years of experience to join our dynamic team. The ideal candidate will have a deep understanding of machine learning algorithms, a strong background in Python programming, and a passion for developing cutting-edge AI solutions. In this role, you will lead the design, development, and deployment of machine learning models and contribute to our overall AI strategy.

• Bachelor or equivalent degree from a reputed educational institute, preferably in computer programming, computer science, or a related field.
• Certification(s): Not mandatory, but certification in a relevant field is a plus.

• Minimum 4-7 years of experience in AI/ML engineering with a proven portfolio of relevant projects.

• Utilize Python and its machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn) to design, develop, and deploy machine learning models tailored to specific business needs.
• Continuously improve and optimize machine learning algorithms to enhance the accuracy and performance of predictive models.
  
• Employ data manipulation and analysis tools such as Pandas and NumPy to clean, transform, and analyze large datasets.
• Ensure data integrity and quality throughout the entire data pipeline, from collection to processing and analysis.
  
• Apply a strong understanding of machine learning algorithms, statistical methods, and data preprocessing techniques to analyze complex data sets.
• Perform exploratory data analysis to identify trends, patterns, and insights that can drive decision-making and strategy.
  
• Work with cloud platforms (e.g., AWS, GCP, Azure) to deploy machine learning models and manage computational resources efficiently.
• Utilize containerization technologies such as Docker to create scalable and reproducible environments for model development and deployment.

• Design, develop, and optimize machine learning models and algorithms tailored to business needs, utilizing Python and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).

  
  

• Analyze complex datasets to extract meaningful insights and identify patterns that drive decision-making.

  
  

• Implement and validate machine learning algorithms and statistical methods, ensuring robustness and scalability.

  
  

• Write clean, efficient, and maintainable code while adhering to best practices in software engineering.

  
  

• Work closely with cross-functional teams including data scientists, engineers, and product managers to integrate machine learning solutions into products and systems.

  
  

• Stay updated with the latest advancements in AI/ML technologies and techniques, and contribute to research and innovation within the team.

  
  

• Provide guidance and mentorship to junior engineers, fostering a collaborative and knowledge-sharing environment.

  
  

• Manage the deployment and monitoring of machine learning models in production environments, ensuring high performance and reliability.

  
  

• Competitive Salary

  
  

• Bonuses

  
  

• EOBI

  
  

• Provident Fund

  
  

• Medical Health Insurance