LanceSoft Inc
Overview
Title: Machine Learning Engineer 3 | Duration: 12 months | Location: Atlanta, GA 30309. Position: Onsite | Pay Range: $60-$69/hr on W-2 Responsibilities
Develop AI Models:
Design and implement machine learning models and algorithms to address business challenges and improve operations. Data Analysis:
Analyze large datasets to extract meaningful insights and patterns that inform AI model development. Model Training and Evaluation:
Train, test, and validate AI models to ensure accuracy, efficiency, and scalability. Deployment and Integration:
Deploy AI models into production environments and integrate them with existing systems and applications. Research and Innovation:
Stay updated with the latest advancements in AI and machine learning technologies and apply them to enhance current projects. Collaborate with Teams:
Work closely with data scientists, software engineers, and business stakeholders to understand requirements and deliver AI solutions that meet organizational goals. Performance Monitoring:
Monitor the performance of AI models and systems, making adjustments as necessary to optimize outcomes. Documentation:
Maintain comprehensive documentation of AI models, algorithms, and processes to ensure knowledge sharing and continuity. Qualifications
Experience:
Proven experience in AI, machine learning, or data science roles, with a track record of successful AI model development and deployment. Technical Skills:
Proficiency in programming languages such as Python, R, or Java. Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Strong understanding of data structures, algorithms, and statistical methods. Familiarity with Azure cloud platform and services (Azure ML, Azure Databricks). Soft Skills:
Strong problem-solving and analytical skills. Excellent communication and teamwork abilities. Ability to work independently and manage multiple projects simultaneously. Preferred Qualifications:
Experience with natural language processing (NLP) and computer vision. Knowledge of big data technologies and tools (e.g., Hadoop, Spark). Understanding of software development lifecycle and agile methodologies
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Title: Machine Learning Engineer 3 | Duration: 12 months | Location: Atlanta, GA 30309. Position: Onsite | Pay Range: $60-$69/hr on W-2 Responsibilities
Develop AI Models:
Design and implement machine learning models and algorithms to address business challenges and improve operations. Data Analysis:
Analyze large datasets to extract meaningful insights and patterns that inform AI model development. Model Training and Evaluation:
Train, test, and validate AI models to ensure accuracy, efficiency, and scalability. Deployment and Integration:
Deploy AI models into production environments and integrate them with existing systems and applications. Research and Innovation:
Stay updated with the latest advancements in AI and machine learning technologies and apply them to enhance current projects. Collaborate with Teams:
Work closely with data scientists, software engineers, and business stakeholders to understand requirements and deliver AI solutions that meet organizational goals. Performance Monitoring:
Monitor the performance of AI models and systems, making adjustments as necessary to optimize outcomes. Documentation:
Maintain comprehensive documentation of AI models, algorithms, and processes to ensure knowledge sharing and continuity. Qualifications
Experience:
Proven experience in AI, machine learning, or data science roles, with a track record of successful AI model development and deployment. Technical Skills:
Proficiency in programming languages such as Python, R, or Java. Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Strong understanding of data structures, algorithms, and statistical methods. Familiarity with Azure cloud platform and services (Azure ML, Azure Databricks). Soft Skills:
Strong problem-solving and analytical skills. Excellent communication and teamwork abilities. Ability to work independently and manage multiple projects simultaneously. Preferred Qualifications:
Experience with natural language processing (NLP) and computer vision. Knowledge of big data technologies and tools (e.g., Hadoop, Spark). Understanding of software development lifecycle and agile methodologies
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