Ai/ml engineer
4 days ago
Responsibilities:
Design, develop, and implement AI/ML models and algorithms to solve specific business problems.
Collaborate with stakeholders to understand business requirements that can be addressed using AI and machine learning techniques and to integrate AI/ML solutions into production systems and applications.
Pre-process, clean, and analyse large datasets to extract meaningful insights and features for model training.
Optimize and fine-tune models for accuracy, performance, and scalability.
Stay updated with the latest research and advancements in AI/ML, and incorporate relevant techniques into the development process.
Evaluate and test models using appropriate evaluation metrics to ensure their effectiveness and robustness.
Monitor and maintain deployed models, making necessary updates and improvements as needed.
Participate in code reviews, knowledge sharing, and mentoring of junior team members.
Document methodologies, experiments, and results clearly and effectively.
Continuously iterate and improve AI/ML solutions based on feedback and real-world performance.
Requirements:
3-5 years of relevant experience in data pre-processing, feature engineering, and model evaluation.
Bachelor's/Master's degree in Computer Science Engineering.
Solid understanding of machine learning algorithms, statistics, and data structures.
Proficiency in programming languages such as Python, Java/R and familiarity with libraries like Tensor Flow, Py Torch, Scikit-learn, etc.
Strong problem-solving skills and ability to think critically about complex challenges.
Familiarity with cloud platforms and tools (ex: Azure/AWS/GCP) for model deployment and management. Experience in deploying machine learning models in production environments is a plus.
Excellent communication skills to convey technical concepts to both technical and non-technical stakeholders.
Strong teamwork and collaboration skills.
Continuous learning attitude to keep up with the rapidly evolving AI/ML landscape.
Experience with version control systems like Git and Copilot is a plus.
At Accellor, we foster a collaborative and innovative environment where creativity and diverse perspectives are valued. We are committed to pushing the boundaries of technology and delivering solutions that make a meaningful impact. Join our team and be part of shaping the future with AI and Machine learning.
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