AI/ML Engineer

WiselyWise Pte Ltd; United States; On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

AI projects

Collaborative culture

Competitive package

Growth opportunities

Job summary

The candidate should have 3+ years of AI/ML experience, strong Python/R/Java, and familiarity with frameworks like TensorFlow or PyTorch. Cloud and big data exposure are a plus in a dynamic environment.

Qualifications

• 3+ years of AI/ML engineering experience in production environments.
• Proficiency in Python, R or Java.
• Experience with ML frameworks such as TensorFlow, PyTorch, Scikit-learn.
• Cloud exposure with AWS, Azure or Google Cloud.
• Familiarity with big data technologies is a plus.
• Excellent communication and collaboration skills.

Responsibilities

• Model Development: design, develop, and implement ML models and AI algorithms for industry use cases.
• Data Processing: collaborate with data engineers to build robust data pipelines for model training and deployment.
• Algorithm Optimization: optimize models for performance, scalability, and accuracy.
• Collaboration: work with data scientists, domain experts, and software developers to deploy end-to-end AI solutions.
• Model Deployment: deploy ML models into production environments using standard tools and frameworks.
• Continuous Improvement: monitor model performance post-deployment and iterate.
• Innovation: stay up-to-date with AI/ML advances and apply to projects.
• Documentation: create documentation for models, algorithms, and processes.

Skills

Python

R

Java

Data structures & algorithms

AI/ML knowledge

Education

Bachelor’s or Master’s degree in CS/Engineering/Math

PhD (plus)

Tools

TensorFlow

PyTorch

Scikit-learn

Docker

Kubernetes

AWS

Azure

Google Cloud

Hadoop

Spark

Kafka

Job description

Category: Technology Location: About Us: WiselyWise is a leading innovator in AI-driven technology. We are seeking a highly skilled AI/ML Engineer to join our team and drive the development and deployment of advanced machine learning models and AI-driven solutions. The ideal candidate will have a strong background in machine learning algorithms, data processing, and software engineering, with a passion for solving complex problems in a dynamic environment. This role will play a critical part in the implementation of AI technologies within the upstream Oil & Gas sector, helping to optimize exploration, drilling, and production processes.

Job Overview:

WiselyWise is a leading innovator in AI-driven technology. We are seeking a highly skilled AI/ML Engineer to join our team and drive the development and deployment of advanced machine learning models and AI-driven solutions. The ideal candidate will have a strong background in machine learning algorithms, data processing, and software engineering, with a passion for solving complex problems in a dynamic environment. This role will play a critical part in the implementation of AI technologies within the upstream Oil & Gas sector, helping to optimize exploration, drilling, and production processes.

Requirements Key Responsibilities:

• Model Development:Design, develop, and implement machine learning models and AI algorithms tailored to industry-specific use cases, particularly in predictive analytics, natural language processing, and computer vision.
• Data Processing:Collaborate with data engineers to build and maintain robust data pipelines, ensuring high-quality data is available for model training and deployment.
• Algorithm Optimization:Optimize machine learning models for performance, scalability, and accuracy, employing techniques such as hyperparameter tuning, model selection, and feature engineering.
• Collaboration:Work closely with data scientists, domain experts, and software developers to integrate AI models into production systems and create end-to-end solutions that meet business objectives.
• Model Deployment:Deploy machine learning models into production environments using industry-standard tools and frameworks, ensuring reliability and scalability.
• Continuous Improvement:Monitor the performance of AI models post-deployment, making iterative improvements based on feedback and changing business needs.
• Innovation:Stay up-to-date with the latest advancements in AI/ML technologies and best practices, and apply this knowledge to drive continuous innovation within the team.
• Documentation:Create comprehensive documentation for developed models, algorithms, and processes to ensure knowledge sharing and maintainability.

Qualifications:

• Education:Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. A Ph.D. is a plus.
• Experience:3+ years of experience in AI/ML engineering, with a proven track record of developing and deploying machine learning models in a production environment.
• Technical Skills:
• Proficiency in programming languages such as Python, R, or Java.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Strong understanding of data structures, algorithms, and software design principles.
• Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI models.
• Familiarity with big data technologies such as Hadoop, Spark, or Kafka is a plus.
• Experience with containerization and orchestration tools like Docker and Kubernetes.
• Analytical Skills:Strong problem-solving skills with the ability to analyze complex datasets and develop innovative AI solutions.
• Communication:Excellent verbal and written communication skills, with the ability to collaborate effectively across multidisciplinary teams.
• Industry Knowledge:Experience in the Oil & Gas sector is a plus but not required.

Preferred Qualifications:

• Experience with natural language processing (NLP) and computer vision.
• Experience with real-time data processing and streaming analytics.
• Familiarity with ethical AI practices and the ability to implement AI models responsibly.

Benefits Why Join Us:

• Opportunity to work on cutting-edge AI projects that have a tangible impact on critical industries.
• Collaborative and innovative work environment.
• Competitive compensation and benefits package.
• Opportunities for professional growth and continuous learning.

Details Originally posted on Himalayas