Position Title: Senior AI ML Engineer
Timings: 4:00 pm - 1:00 am
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).
- Collaborate with data scientists, engineers, and product teams to integrate AI/ML solutions into production systems.
- 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.
- 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
- 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.
