ML/AI Engineers
Role details
Job location
Tech stack
Job description
Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients., * Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions.
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Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring.
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Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.
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Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences.
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Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement.
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Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency.
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Conduct exploratory data analysis to extract valuable insights and influence strategic decisions.
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Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks.
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Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices.
Requirements
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Degree in Computer Science, Engineering, Statistics, or a related technical field.
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Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains.
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Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings.
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Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems.
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Strong foundational understanding of algorithmic complexity and data structure optimization.
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Excellent problem-solving, collaboration, and communication abilities.
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Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI.
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Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.
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Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects.
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Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
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Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures.
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Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices.
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Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team.
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Ensure all AI implementations are compliant with ethical guidelines and data privacy standards.
Benefits & conditions
Competitive salary range: Based on experience and market value