Machine Learning Engineer/Specialist
Dubai,
United Arab Emirates
DESCRIPTION OF THE COMPANY & JOB SUMMARY
SUDO Consultants is a proud AWS Premier Partner offering reliable and smart solutions for our customers' business's digital transformation. Our commitment to prioritizing customers drives in "everything that we do" as we deeply understand the complex and varied needs of today’s businesses and industries.
SUDO Team is a leader in AI-driven innovation, dedicated to helping businesses with the solutions, tools, services, and strategies they need to thrive in today’s dynamic digital world. Our tailored, one-stop solutions empower startups and established enterprises alike by integrating advanced AI and cutting-edge technologies.
We help companies tackle complex challenges, streamline workflows, and enhance their digital presence, ensuring they stay ahead of the competition in a rapidly evolving landscape. Our dedication drives our achievements to pioneering and innovative approaches. We cultivate a dynamic and collaborative culture built on transparency, accountability, and a strong sense of ownership. This cohesive approach drives our growth and reinforces our position as an industry leader. Join us in shaping the future of innovation and technology!
Roles and Responsibilities
Develop and implement machine learning models and algorithms to address business problems across various domains.
Build and deploy ML models in AWS and multi-cloud environments (e.g., Azure, GCP) ensuring performance, scalability, and cost-effectiveness.
Collect, preprocess, and transform large datasets for machine learning pipelines.
Train, evaluate, and optimize ML models to achieve high accuracy and reliability.
Develop automated pipelines for deploying ML models in production environments using tools such as AWS SageMaker, TensorFlow Serving, and Kubernetes.
Work closely with cross-functional teams, including data engineers, cloud architects, and business analysts, to deliver impactful solutions.
Continuously monitor ML models in production and implement improvements to maintain performance and accuracy.
Stay updated with the latest trends and advancements in machine learning, AI, and cloud technologies to recommend and implement innovative solutions.
Any AI/ML related-tasks assigned from time to time.
Skills and Qualifications
Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.
Proven experience in designing, building, and deploying ML models.
Hands-on experience with AWS ML services such as SageMaker, Rekognition, Comprehend, and others.
Proficiency in multi-cloud platforms such as Azure ML, GCP AI, or similar.
Strong programming skills in Python, R, or Java.
Expertise in ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
Experience with big data technologies (e.g., Apache Spark, Hadoop).
Proficiency in cloud orchestration and containerization (e.g., Docker, Kubernetes).
Knowledge of DevOps practices and CI/CD for ML pipelines.
Problem-Solving: Excellent analytical and problem-solving skills to address complex challenges using AI/ML.
Communication: Strong verbal and written communication skills to explain technical concepts to non-technical stakeholders.
Nice to Have
Certification in AWS Machine Learning or other cloud certifications.
Experience with MLOps practices and tools like MLflow, Kubeflow, or Amazon SageMaker Pipelines.
Knowledge of natural language processing (NLP), computer vision, or reinforcement learning techniques.
Familiarity with edge AI deployment and real-time inference systems.
Each employee has a chance to see the impact of their work. You can make a real contribution to the success of the company. Several activities are often organized throughout the year, including training programs, staff, and professional development activities, and much more.
Perks and Compensation
A full-time position. Competitive salary and incentive bonus.
Professional Development
We help you build your credibility as you continue to gain new skill sets and certificates through mentorship and career development.
Unlimited Training and Development
We expand our programs to educate you more about new skills and provide updates on existing skills to enhance your productivity
Benefits and Rewards System
In-placed rewards and recognition policy and employee leave benefits.
What are you waiting for?
For those who are interested and eligible candidates for this position, you may send us your CV by clicking on the:
"Apply Now!" button below.