• 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.

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).
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  Analyze complex datasets to extract meaningful insights and identify patterns that drive decision-making.
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  Implement and validate machine learning algorithms and statistical methods, ensuring robustness and scalability.
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  Write clean, efficient, and maintainable code while adhering to best practices in software engineering.
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  Work closely with cross-functional teams including data scientists, engineers, and product managers to integrate machine learning solutions into products and systems.
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  Stay updated with the latest advancements in AI/ML technologies and techniques, and contribute to research and innovation within the team.
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  Provide guidance and mentorship to junior engineers, fostering a collaborative and knowledge-sharing environment.
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  Manage the deployment and monitoring of machine learning models in production environments, ensuring high performance and reliability.

Benefits

• Competitive Salary
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  Bonuses
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  EOBI
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  Provident Fund
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  Medical Health Insurance
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  Accommodation for outstation employees
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  Annual Leaves
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  Casual Leaves
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  Sick Leaves
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  Bereavement Leaves
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  Marriage Leaves
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  Paternity Leaves
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  Maternity Leaves

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  Annual Review

Why Should You Join IKONIC?

At IKONIC, we believe in providing development opportunities to all our 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:

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  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.
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  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.
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  Market Competitive Compensation based on your professional qualifications and skill set.

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  As an Equal Employment Opportunity Provider, all employment-associated decisions are based on an individual's merit.