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Interested candidates kindly apply before 14/01/2025.
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Hiring for AI/ML Engineer!!!
Job Title: AI/ML Engineer
Job location: Remote
No. of positions: 20-30
Experience: 0-20+Years
Salary: 3.5- Any (subject to experience, background and skillset)
Job Overview:
We are looking for a highly skilled and motivated AI/ML Engineer to join our team. The ideal
candidate will have expertise in developing machine learning models, algorithms, and AI systems.
You will be responsible for researching, designing, and implementing AI-driven solutions that solve
complex business problems and enhance our products and services.
Key Responsibilities:
• Design, implement, and optimize machine learning models and AI algorithms for real-world
applications.
• Develop and deploy AI models and systems that enhance business operations and customer
experiences.
• Work closely with data scientists and engineers to collect, process, and analyze data for
training AI models.
• Collaborate with cross-functional teams to define and implement AI-driven solutions.
• Optimize and tune AI models to improve accuracy, efficiency, and performance.
• Conduct experiments, validate results, and provide insights from model performance.
• Stay updated on AI and ML advancements and integrate new techniques into existing
models.
• Write production-ready code for AI models, ensuring maintainability and scalability.
• Implement machine learning pipelines, including data preprocessing, model training,
evaluation, and deployment.
• Troubleshoot issues related to AI models and improve the model lifecycle.
Key Qualifications:
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a relate
field.
• Proven experience as an AI/ML Engineer or in a similar role.
• Strong proficiency in programming languages such as Python, Java, or C++.
• Expertise in machine learning frameworks and libraries like TensorFlow, Keras, PyTorch, and
Scikit-learn.
• Experience in data manipulation and analysis using libraries like Pandas, NumPy, and
Matplotlib.
• Solid understanding of machine learning algorithms such as regression, clustering, neural networks, and deep learning.
• Strong problem-solving, analytical, and debugging skills.
• Experience in deploying machine learning models in production environments.
• Familiarity with cloud platforms (AWS, Google Cloud, Azure) and using cloud-based ML tools.
