Senior AI ML Engineer

Position Title:
 Senior AI ML Engineer

Timings:
 4:00 pm - 1:00 am 
(Onsite)

Department:
 AI ML

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, serving clients globally for over 9 years. Were known for building scalable digital solutions and high-performing product teams. Innovation, ownership, and outcomes are core to how we work.

Position Purpose:

We are seeking a highly skilled and motivated Senior 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 years of experience in AI/ML
 
Engineering
 with a proven portfolio of relevant projects.

Responsibilities:

• Build and fine-tune 
  Generative AI models
   (LLMs, diffusion models, transformers, etc.) for text, image, or multimodal tasks.
• Explore and implement 
  Agentic AI frameworks
   (autonomous/AI agents, tool-using models, reasoning systems).
• Implement 
  Retrieval-Augmented Generation
   (RAG) systems for knowledge retrieval and contextualized responses.
• 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.
• Experience with image processing, feature extraction, and 
  neural network architectures
   (CNNs, R-CNN, YOLO, Mask R-CNN, ViT, etc.).
• Ensure data integrity and quality throughout the entire data pipeline, from collection to processing and analysis.
• Collaborate with data scientists, engineers, and product teams to integrate AI/ML solutions into production systems.
• 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

• Hands-on experience with 
  Generative AI frameworks
   (OpenAI, Stability AI, Hugging Face Transformers, Diffusion models).
• Familiarity with 
  Agentic AI tools/frameworks
   (LangChain, AutoGPT, CrewAI, or similar).
• 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.
• Deep understanding of 
  multi-layer neural network models
  and architectures such as CNN, RNN, LSTM, encoders, transformers etc.
• 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
• Annual Leaves
• Accommodation
• Casual leaves
• Sick Leaves
• Bereavement Leaves
• Marriage Leaves
• Paternity Leaves
• Maternity Leaves
• Recreational area for in-house games

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.