AI/ ML Engineer

Position Purpose:

We are seeking a highly skilled and motivated AI/ML Engineer with over 3 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 3-4 years of experience in AI/ML engineering with a proven portfolio of relevant projects.
  

• Develop and Implement Machine Learning Models:
  

• 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.
  

• Data Manipulation and Analysis:
  

• 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.
  

• Algorithm and Statistical 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.
  

• Cloud and Containerization Management:
  

• 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.
  

Requirements

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

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

• Algorithm Implementation: Implement and validate machine learning algorithms and statistical methods ensuring robustness and scalability.
  

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

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

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

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

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

Benefits

• EOBI
  

• Provident Fund
  

• Medical Health Insurance
  

• Accommodation
  

• Annual Leaves
  

• Casual leaves
  

• Sick Leaves
  

• Bereavement Leaves
  

• Marriage Leaves
  

• Paternity Leaves
  

• Maternity Leaves
  

• Recreational area for in-house games
  

At IKONIC we believe in providing development opportunities to all its employees which is why our job comes with a variety of challenging assessments meant to catapult your career to the next level. This is made evident with our offerings such as:

• A growth mindset through the help of experienced and helpful Mentors. Ikonic is made up of passionate individuals who aim to support each other in their training as well as day-to-day tasks.
  

• A Dynamic Environment where we focus on encouraging initiatives promoting agility and creating a work/life balance. We know the value you bring in and we aim to nurture it.
  

• Market Competitive Compensation based upon your professional qualifications and skill set.
  

• As an Equal employment opportunity provider. All employment associated decisions are based on an individuals merit.