AI/ML Engineer

Position Title: AI/ML Engineer

Timings: 4:00 pm - 1:00 am

Department: Software Engineering

Location: Ikonic, Plot # 349 St 1, I-9/3 Islamabad, 44000

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 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.

Education & Professional Qualification:

• 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.
  

Experience:

• Minimum of 3 years of professional experience in AI/ML engineering with a strong portfolio of relevant projects.
  

Responsibilities:

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
  

  
  

Why Should You Join IKONIC?

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 individual's merit.
  

Note: Above goals and job descriptions are indicative and subject to change.