AI/ ML Engineer

4 weeks ago

Islamabad, Islamabad, Pakistan IKONIC Full time

Position Title: AI/ML Engineer

Timings: 4:00pm-1:00am

Department: Software Engineering

Location: Ikonic, Plot # 176, Korang Road, near Rahat Bakers I-10/3, Islamabad

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 3-4 years of experience in AI/ML engineering with a proven 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).
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