Machine Learning Engineer

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ValueLabs

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Job Summary


Job Type
-

Seniority
Mid

Years of Experience
Information not provided

Tech Stacks
Python PyTorch R TensorFlow

Job Description

Artificial Intelligence/Machine Learning Specialist Job Description:


We are seeking a highly skilled Artificial Intelligence/Machine Learning (AI/ML) Specialist to join our team. As an AI/ML Specialist, you will be responsible for developing, implementing, and optimizing AI/ML models and algorithms to solve complex business problems. You will collaborate closely with cross-functional teams to understand requirements, gather and preprocess data, train and evaluate models, and deploy AI/ML solutions.


Responsibilities:

- Develop, implement, and optimize AI/ML models and algorithms to solve complex business problems

- Collaborate with stakeholders to understand requirements and translate them into technical specifications

- Gather, preprocess, and analyze data to ensure its quality, relevance, and suitability for AI/ML tasks

- Design and implement data pipelines and workflows for data ingestion, transformation, and feature engineering

- Train, evaluate, and fine-tune AI/ML models using appropriate techniques and frameworks

- Conduct thorough experiments and evaluations to measure and improve the performance of AI/ML models

- Collaborate with software engineers to deploy AI/ML solutions into production environments

- Monitor and maintain deployed AI/ML models, and troubleshoot any issues or performance degradation

- Stay up-to-date with the latest AI/ML research, techniques, and tools, and contribute to continuous improvement and innovation within the AI/ML team


Requirements:

- Minimum of 5 years of professional experience in AI/ML development or a related field

- Strong understanding of AI/ML concepts, algorithms, and frameworks, such as TensorFlow, PyTorch, or scikit-learn

- Proficiency in programming languages commonly used in AI/ML, such as Python or R

- Experience with data preprocessing, feature engineering, and data visualization techniques

- Familiarity with deep learning architectures, such as convolutional neural networks (CNNs) or recurrent neural networks (RNNs)

- Knowledge of statistical analysis and experimental design principles for evaluating AI/ML models

- Strong problem-solving and analytical skills, with the ability to understand and address complex business problems using AI/ML techniques

- Excellent attention to detail and a strong commitment to quality and accuracy

- Excellent communication and collaboration abilities, with the capability to work effectively in a team environment

- Advanced degree in computer science, data science, or a related field is preferred, but not required



Note: We need immediate joiners or who can join within 15 days.


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