About Mobiz
Mobiz is an information technology firm, and we do three things exceptionally well: cloud and network automation, digital transformation, and data protection. Double-digit growth year-over-year has driven us to grow our team and ensure we stay ahead of the curve.

What Can You Expect?
Every day at Mobiz we work with a deep sense of purpose. We continuously innovate. Our mission is to empower our clients to do more through transformation. You’ll work in a collaborative environment alongside highly talented people that improve client operations and exceed expectations. We strive to simplify technology challenges, and no less.

Who Are We Looking For?
Mobiz is looking to hire talented and experienced Senior AI Engineer to join our team and play a key role in developing and implementing cutting-edge artificial intelligence solutions.
You will leverage your expertise in machine learning and software engineering to design, build, and deploy AI models/products that solve complex problems and drive business value.


Key Responsibilities

• Design, develop, and implement machine learning models and algorithms using Microsoft Azure AI tools.
• Collaborate with data scientists and software engineers to integrate AI solutions into existing products and applications.
• Perform data analysis, preprocessing, and feature engineering to prepare data for model training and improve model performance.
• Train, test, and evaluate machine learning models to ensure accuracy, efficiency, and scalability.
• Optimize AI models for performance and resource utilization on the Microsoft Azure cloud platform.
• Stay up to date on the latest advancements in AI, machine learning, and Microsoft Azure AI tools.
• Document AI solutions effectively, including code, models, and design decisions.

Qualifications and Skills

• Bachelor's degree in computer sciences or engineering with demonstrated aptitude to grasp and learn new technologies
• Minimum 5 + years of relevant experience in developing and deploying AI models, particularly in generative AI applications.
• Experience with Microsoft Azure cloud solutions; knowledgeable in cloud infrastructure and services, Dev Ops methodologies, application architecture & development
• Familiarity with cloud platforms (AWS, Google Cloud, Azure) and MLOps practices is a plus
• Strong exposure of working in virtual environments and deploying containers.
• Strong understanding of multi-cloud solutions and services and ability to apply these solutions to solve complex challenges for clients
• Strong analytical and problem-solving skills with a knack for statistical analysis.
• Proven experience with AI, ML, deep learning, Tensorflow, Python, NLP algorithm.
• Experience with REST API development, No SQL design, RDBMS design and optimizations
• Strong programming skills in Python and familiarity with AI frameworks such as Tensor Flow, Py Torch, or Keras.

• Experience with deep learning and natural language processing techniques and deployment of machine learning models in production environments are a big plus.

• Experience with generative AI models, including GANs, VAEs, and transformers.
• Proficiency in machine learning, deep learning, and statistical analysis.
• Understanding of Databricks, Power BI, and Synapse is required
• Understanding of Large language Models is preferable.
• Strong organizational and teamwork skills
• Exceptional English written and verbal communication skills.

• Excellent problem-solving skills and a strong analytical mind.
• Ability to work effectively in a team environment and communicate complex technical concepts clearly.

What We Offer

• A team of bright, hard-working, and innovative people that will contribute to your growth.
• Competitive Salary and comprehensive benefits plan.
• A dynamic and collaborative work environment with opportunity to work with cutting-edge technology and innovative solutions.

Location
This is an on-site role based in Islamabad, Pakistan.

Closing
Mobiz embraces diversity and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better we are. We are an equal opportunity employer.

We thank all applicants for their interest. We will contact you if you are selected to move forward in our recruiting process.