AI Predictive Machine Learning Engineer

Chu Coprs

At PriceAdvantage, a division of Skyline Products, we have revolutionized the way fuel marketers price fuel by giving them easier access to real-time data, eliminating manual processes, and decreasing the time it takes to execute fuel price changes accurately. With these core competencies, PriceAdvantage has helped fuel retailers across the country increase their profitability significantly.

The ideal candidate will have a strong background in machine learning algorithms and data analysis, with experience in developing and deploying machine learning models. This role involves collaborating with cross-functional teams to enhance our data-driven decision-making processes and improve product offerings.

We are looking for a Remote Machine Learning Engineer to join our team, where you will play a key role in developing cutting-edge AI and machine learning models that drive innovative solutions across various applications. You will work with cross-functional teams to design, build, and deploy intelligent systems that improve performance, efficiency, and user experiences. Your expertise in AI algorithms, machine learning frameworks, data analysis, and software development will contribute to solving complex business problems and advancing our technological capabilities.

Key Responsibilities:

Design, develop, and implement AI-driven solutions using machine learning techniques, deep learning, natural language processing (NLP), and computer vision

Build, train, and optimize machine learning models to analyze large datasets and derive actionable insights

Develop and integrate machine learning algorithms into production systems, ensuring scalability and performance

Collaborate with data scientists, software engineers, and other stakeholders to define system requirements, data pipelines, and performance metrics

Utilize big data tools and frameworks to process, analyze, and extract insights from large datasets in various domains

Continuously improve model performance through e

• Experience

  1 - 4 Years

• No. of Openings

  1

• Education

  Higher Secondary

• Role

  Machine Learning Engineer

• Industry Type

  Call Centre / BPO / KPO / ITES / LPO

• Gender

  [ Male / Female ]

• Type of Job

  Full Time

• Work Location Type

  Work from Office

• Face interview location

  123 san jose