Are you passionate about unlocking the power of data and creating innovative solutions that drive real-world impact? A multinational Tech consultant firm is seeking AI / ML Engineering Tech Lead and be at the forefront of cutting-edge technology! .we are looking for talented individuals who thrive in a collaborative environment, enjoy tackling complex challenges, and have a flair for transforming data into actionable insights.
Client Engagement and Requirement Gathering:
- Engage with clients to understand their pain points, goals, and data challenges.
- Elicit and document requirements to ensure alignment with business objectives.
- Communicate proposed solutions clearly and effectively to both clients and internal teams.
- Collect, clean, and prepare large datasets for machine learning applications.
- Explore data to uncover patterns, anomalies, and insights.
- Perform feature engineering and data normalization to enhance model performance.
- Design and implement state-of-the-art machine learning algorithms tailored to project needs.
- Experiment with various models and techniques to find optimal solutions.
- Optimize algorithms for scalability, accuracy, and computational efficiency.
- Train machine learning models using robust datasets and advanced tools.
- Validate models through rigorous testing and iterative improvement.
- Evaluate performance using industry-standard metrics, ensuring high predictive accuracy.
- Create compelling and informative visualizations to present data insights effectively.
- Leverage libraries like Matplotlib, Seaborn, or software such as Tableau and Power BI to tell a story through data.
- A passion for problem-solving and a customer-focused mindset.
- Expertise in data wrangling, analysis, and machine learning techniques.
- Strong communication skills to engage stakeholders and convey complex ideas clearly.
- Hands-on experience with data visualization tools and libraries.
- A drive to stay updated on the latest trends in AI and machine learning.
Requirements
- Technical Expertise: Deep knowledge of AI/ML algorithms and hands-on experience with frameworks like TensorFlow and PyTorch.
- Data Skills: Strong proficiency in data collection, cleaning, analysis, and pre-processing.
- Model Development: Proven track record in building, training, and fine-tuning machine learning models.
Preferred Requirements :
- Industry Experience: Understanding of applying and deploying machine learning solutions in real-world scenarios.
- Continuous Learner: Passion for staying updated with the latest trends and advancements in AI/ML.
- Leadership: Experience managing or leading AI/ML projects to successful completion.
- Distinctive thinking, deep expertise, and collaborative working.
Benefits
- Work on exciting projects with global clients.
- Competitive salary and benefits package.
- Opportunities for career growth and development.
- Hybrid work environment.
- Access to ongoing learning and development programs.
- Health and wellness programs to support work-life balance.
Skills Required
- Deep knowledge of AI/ML algorithms and hands-on experience with TensorFlow and PyTorch.
- Strong proficiency in data collection, cleaning, analysis, and pre-processing.
- Proven track record in building, training, and fine-tuning machine learning models.
- Hands-on experience with data visualization libraries and tools (Matplotlib, Seaborn, Tableau, Power BI).
- Strong communication skills and ability to engage stakeholders and document requirements.
- Experience managing or leading AI/ML projects to successful completion.
- Industry experience applying and deploying machine learning solutions in real-world scenarios.
- Demonstrated commitment to continuous learning and staying updated on AI/ML trends.
What We Do
MENA Alliances is a woman-owned talent and technology services company connecting global businesses with vetted professionals from the Middle East and North Africa. It provides on-demand remote tech teams, recruitment and staffing models, software development, data labeling and annotation, translation and localization, and project-based delivery. Its mission includes expanding opportunities for women and young people while helping clients scale technical capabilities.







