Artificial Intelligence Engineer
2 weeks ago
ENERGY7 is a leader in providing innovative IoT, AI, and ML solutions for industries like railways and beyond. Our mission is to harness the power of real-time data, predictive analytics, and machine learning to optimize operations and bring intelligent, automated systems to our clients. We work on cutting-edge projects in predictive maintenance, condition monitoring, wireless networking, and more. Join us in building the future of AI-driven industrial solutions.
ResponsibilitiesWe are seeking a Machine Learning and AI Engineer to join our growing team. You will be instrumental in designing, implementing, and deploying machine learning models and AI-driven solutions that improve operational efficiency and predictive analytics. In this role, you'll collaborate with data scientists, software engineers, and domain experts to build scalable, data-driven solutions for our clients.
QualificationsDevelop, train, and deploy machine learning models and AI algorithms to solve complex business problems.Work closely with data engineers to ensure robust and scalable data pipelines for real-time analytics.Conduct research and stay updated on the latest trends in AI, machine learning, and data science.Optimize and fine-tune models to improve prediction accuracy and system performance.Collaborate with cross-functional teams to integrate AI solutions into our IoT platforms.Participate in troubleshooting and maintenance of ML models in production environments.Analyze and interpret large datasets, providing actionable insights to improve system performance.
Qualifications:
Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.2+ years of hands-on experience in developing machine learning models and AI-driven solutions.Strong programming skills in Python, R, or other relevant languages.Proficiency with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).Experience in working with cloud platforms like AWS, Azure, or Google Cloud.Solid understanding of data preprocessing, feature engineering, and model evaluation techniques.Familiarity with predictive maintenance, condition monitoring, or IoT data would be a plus.Excellent problem-solving skills, attention to detail, and a collaborative mindset.
Preferred Skills:Expertise in unsupervised machine learning techniques, including clustering, anomaly detection, and dimensionality reduction.Strong proficiency in time-series analysis and modeling, including forecasting, trend analysis, and anomaly detection.Hands-on experience in fine-tuning Large Language Models (LLMs) for domain-specific applications, with a deep understanding of prompt engineering and transfer learning techniques.
What We Offer:Competitive salary and benefits package.Opportunity to work on impactful projects shaping the future of AI and IoT.A collaborative and innovative work environment.Professional growth and learning opportunities.How to Apply: Interested candidates, please send your resume and a brief cover letter explaining your qualifications and interest in the position to
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