Artificial Intelligence/ Machine Learning Engineer
2 weeks ago
is an esteemed leader in protecting clients' sensitive data, specializing in delivering advanced data privacy and synthetic fraud solutions. Trusted by top-tier organizations across various industries, we ensure compliance with data privacy regulations and mitigate financial risks associated with synthetic fraud. With a commitment to trust, reliability, and quality, Data Safeguard continues to innovate and lead in the field.Location: Bhubaneswar, Odisha
Data Safeguard is seeking an experienced AI/ML Engineer to join our dynamic development team. As a key contributor, you will play a vital role in advancing our suite of products, leveraging your expertise in machine learning to develop and implement cutting-edge solutions. This position offers an exciting opportunity to apply your knowledge in a practical setting, collaborate with talented professionals, and make a significant impact in the realm of data privacy and fraud prevention.
Responsibilities:
Lead the development and implementation of machine learning models and algorithms in collaboration with the AI/ML team.Drive data pre-processing, feature engineering, and model evaluation to ensure the accuracy and efficiency of solutions.Conduct rigorous experiments, analyze results, and provide actionable insights to enhance model performance and effectiveness.Optimize model performance with large-scale datasets, employing advanced techniques and methodologies.Spearhead the integration of AI/ML models into our product ecosystem, seamlessly merging them into product features.Stay abreast of the latest advancements in AI/ML technologies, actively contributing to the team's knowledge base and fostering innovation.
Requirements:Bachelor's or Master’s degree in Computer Science, Data Science, or a related field.3-5 years of hands-on experience in developing and deploying machine learning solutions.Proficiency in Python and extensive experience with popular machine learning libraries such as TensorFlow, PyTorch, and scikit-learn.Demonstrated expertise in data pre-processing, feature engineering, and model evaluation techniques.Strong familiarity with deep learning frameworks and neural network architectures.Exceptional programming skills in Python and a proven ability to solve complex problems.Excellent communication skills and a collaborative mindset, with the ability to work effectively within a team.Keen attention to detail and the capacity to work autonomously in a fast-paced environment.
Benefits:
Maximized benefits.Competitive Pay.Paid Time Off.Opportunity to work with a global team and clientele.Opportunity to potentially work in the United States headquarters.Work with cutting edge products and technologies.
Data Safeguard
is an equal opportunity employer committed to fostering an inclusive and diverse workplace. We encourage individuals of all backgrounds to apply, as we believe in evaluating candidates based on merit, competence, and alignment with our business needs.
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bhubaneswar, India Data Safeguard Inc. Full timeData Safeguard is an esteemed leader in protecting clients' sensitive data, specializing in delivering advanced data privacy and synthetic fraud solutions. Trusted by top-tier organizations across various industries, we ensure compliance with data privacy regulations and mitigate financial risks associated with synthetic fraud. With a commitment to trust,...
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Bhubaneswar, India Data Safeguard Inc. Full timeData Safeguard is an esteemed leader in protecting clients' sensitive data, specializing in delivering advanced data privacy and synthetic fraud solutions. Trusted by top-tier organizations across various industries, we ensure compliance with data privacy regulations and mitigate financial risks associated with synthetic fraud. With a commitment to trust,...
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bhubaneswar, India Data Safeguard Inc. Full timeData Safeguard is an esteemed leader in protecting clients' sensitive data, specializing in delivering advanced data privacy and synthetic fraud solutions. Trusted by top-tier organizations across various industries, we ensure compliance with data privacy regulations and mitigate financial risks associated with synthetic fraud. With a commitment to trust,...
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