AI/ML Developer
Job in
Abu Dhabi, UAE/Dubai
Listed on 2026-06-02
Listing for:
TASC Outsourcing
Full Time
position Listed on 2026-06-02
Job specializations:
-
Software Development
Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist
Job Description & How to Apply Below
About the Role
As an AI ML Developer-2 based in Bengaluru, India, you will design, develop and deploy advanced machine learning models and AI solutions to solve complex business problems. You will collaborate with cross‑functional teams to build scalable, data‑driven applications and drive innovation through end‑to‑end ML workflows.
Responsibilities- Design, implement and maintain machine learning models and algorithms using Python.
- Perform data preprocessing, feature engineering and statistical analysis on large datasets.
- Collaborate with data engineers and software developers to integrate ML models into production systems.
- Monitor and optimize model performance; retrain models as needed.
- Conduct experiments to evaluate new algorithms and frameworks and present findings to stakeholders.
- Document code, processes and model artifacts for reproducibility and compliance.
- Stay up to date with the latest developments in AI/ML research and tools.
- 5-7 years of professional experience in AI/ML development or related field.
- Proficiency in Python and libraries such as Num Py, Pandas, Scikit-learn, Tensor Flow or PyTorch.
- Strong understanding of machine learning algorithms, deep learning architectures and statistical modeling.
- Experience with data preprocessing, feature engineering and model evaluation techniques.
- Familiarity with SQL and No
SQL databases for data extraction and manipulation. - Proven experience deploying ML models into production environments.
- Experience with cloud platforms such as AWS, Azure or GCP and their ML services.
- Knowledge of MLOps practices, CI CD pipelines and containerization tools like Docker and Kubernetes.
- Hands‑on experience with big data technologies such as Spark, Hadoop or Kafka.
- Background in natural language processing, computer vision or reinforcement learning.
- Excellent problem‑solving skills and ability to communicate technical concepts to non‑technical stakeholders.
- Master s or higher degree in Computer Science, Engineering or a related technical discipline.
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