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Job Description

Description :



Role Overview :



We are seeking a highly skilled AI/ML Engineer to design, develop, and deploy machine learning models and AI-driven solutions that enhance business processes and product capabilities.


The ideal candidate will have strong expertise in data science, algorithm development, and software engineering, with a passion for solving complex problems using cutting-edge technologies.



Key Responsibilities :



- Model Development : Build, train, and optimise machine learning models for predictive analytics, natural language processing, computer vision, and other AI applications.


- Data Engineering : Preprocess, clean, and structure large datasets for model training and evaluation.


- Deployment & Integration : Implement ML models into production systems using scalable frameworks and APIs.


- Research & Innovation : Stay updated with the latest AI/ML trends and incorporate best practices into solutions.


- Performance Monitoring : Continuously monitor and improve model accuracy, efficiency, and robustness.


- Collaboration : Work closely with cross-functional teams including software engineers, product managers, and data analysts to deliver AI-driven features.



Required Skills & Qualifications :



- Bachelors or Masters degree in Computer Science, Data Science, or related field.


- Strong proficiency in Python, TensorFlow, PyTorch, and ML libraries.


- Experience with data pipelines, feature engineering, and model deployment.


- Knowledge of cloud platforms (Azure, AWS, GCP) and containerisation (Docker, Kubernetes).


- Familiarity with MLOps practices and CI/CD pipelines.


- Excellent problem-solving and analytical skills.



Preferred Skills :


- Experience with deep learning, transformer models, and generative AI.


- Understanding of big data technologies (Spark, Hadoop).


- Exposure to AI ethics, bias mitigation, and responsible AI practices.



Why Join Us :


- Opportunity to work on cutting-edge AI/ML projects impacting global products.


- Collaborative and innovative work environment.


- Continuous learning and career growth opportunities.


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