Lead AI/ML Engineer
Lead AI/ML Engineer
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Job Description
- 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.
Requirements
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.
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.
Employment Type
Full Time
