Lead AI/ML Engineer

2 weeks ago

Islamabad, Islamabad, Pakistan Ikonicsolution Full time

Ikonic, Plot # 176, Korang Road, near Rahat Bakers, I-10/3, Islamabad, Pakistan | Posted on 02/07/2025

  • Country: Pakistan
Job Description

Position Title: Team Lead AI/ML Engineer

Timings: 4:00pm-1:00am

Department: Software Engineering

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 4 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 4-7 years of experience in AI/ML engineering with a proven portfolio of relevant projects.
Responsibilities:
  • 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 for outstation employees
  • Casual Leaves
  • Paternity Leaves
  • Maternity Leaves
  • Annual Reviews
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:

  • 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 on 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.

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