Lead Machine Learning Engineer (Arabic + English)

Lead Machine Learning Engineer with around 5 years experience in the field.

“Based in Abu Dhabi, UAE”. Arabic + English Speaker.

Job Location: ABU DHABI, UAE.

“Immediate start; so relocation package or remote option are NOT available at this time”

About the role:

You will focus on designing, implementing and maintaining various Deep Learning and Reinforcement Learning codes. You will work with a multidisciplinary team of smart people, including Product Managers, and Software Developers, to advance a state-of-the-art AI platform that can be applied to domains like Robotics, Optimization, Control, Anomaly detection and Machine Vision.

Experience:

• Strong knowledge of data structures and algorithms;
• Strong experience debugging and tuning applications/ML pipelines for production;
• Experience with sci-kit learn library (clustering, dimensionality reduction, classification, regression);
• Experience with deep learning frameworks (PyTorch, Tensorflow, keras) for training and inference on the tasks like (two domains at least):
• NLP (semantic search, topic classification, sentiment analysis, translation);
• Image (object detection and recognition);
• Video (objects tracking, anomaly detection);
• Audio (speaker recognition, speech to text, etc.)
• Experience with embeddings and zero-shot learning, vector search libraries like FAISS, ScaNN;
• Production experience deploying, configuring and monitoring ML pipelines;
• Experience working with Airflow for building ML pipelines;

Qualifications:

• Languages: Arabic + English
• 5+ years’ experience in AI and ML algorithm development.
• Masters or Ph.D. focused on ML.
• Proven track of programming in Python/Java/C++.
• Experience with Deep Learning for NLP

Relocation:

· Relocation assistance is not a negotiable benefit for this position. Candidates must live in the immediate area or relocate at their own expense.

If you believe you match these values, we look forward to meeting you!

Please send you Cv updated with your Email Address + Tel number. Thanks.

Salt is acting as an Employment Agency in relation to this vacancy.