Ai/ml engineer
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Design, implement, and maintain advanced machine learning algorithms (supervised, unsupervised, reinforcement learning, etc.) to solve complex problems across various domains.
Utilize deep learning frameworks (such as Tensor Flow, Py Torch, Keras, etc.) and apply them to real‑world applications.
Work with large‑scale datasets, preprocess and clean data, and ensure efficient data pipelines to support machine learning ntinuously evaluate and optimize the performance of deployed models using A/B testing, cross‑validation, and other ntribute to the development of AI/ML best practices, standards, and methodologies.
Provide technical leadership and mentorship to junior team members.
Stay current with the latest advancements in AI/ML technologies and research to incorporate into solutions and drive municate technical findings, strategies, and progress to stakeholders, including non‑technical teams.
Required Qualifications10+ years of professional experience in AI/ML software development, with at least 5 years in a leadership or senior technical role.
Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (Master’s or Ph D preferred).
Proven experience with machine learning algorithms and frameworks (e.g., Tensor Flow, Keras, Py Torch, Scikit-learn).
Expertise in deep learning techniques and frameworks (CNNs, RNNs, Transformers, etc.).
Strong programming skills in Python (preferred), Java, C++, or similar languages.
Extensive experience in developing, training, and fine‑tuning large‑scale machine‑learning models.
Proficiency in cloud computing platforms such as AWS, GCP, or Azure, especially related to AI/ML services.
Hands‑on experience with big data technologies (e.g., Hadoop, Spark, SQL, No SQL).
In‑depth knowledge of data preprocessing, feature engineering, and model evaluation techniques.
Ability to work in a collaborative and agile environment, contributing to all stages of the development lifecycle.
Preferred QualificationsFamiliarity with natural language processing (NLP), computer vision, and reinforcement learning.
Experience with AI/ML deployment frameworks such as Tensor Flow Serving, Torch Serve, or Kubeflow.
Familiarity with Dev Ops practices and CI/CD pipelines.
Previous experience with AI/ML‑driven products in production at scale.
Strong understanding of statistics, mathematics, and optimization techniques.
Excellent communication and problem‑solving skills
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