[Hiring] AI/ML Engineer @Rootshell Enterprise Technologies, Inc.

Role Description

We are actively seeking an AI/ML Engineer for one of our clients.

• AI/ML Model Development:
  • Design, build, and deploy machine learning models (both traditional and generative models) to solve complex business problems.
  • Implement deep learning models using frameworks such as TensorFlow, PyTorch, or Keras.
  • Work on generative AI models like GANs, VAEs, or transformer-based architectures to produce high-quality synthetic data, enhance model performance, and create new capabilities.
• Data Processing with Apache Spark:
  • Utilize Apache Spark for distributed data processing and large-scale data transformation tasks.
  • Work with Spark DataFrames, Spark SQL, and MLlib to efficiently process and analyze large datasets.
  • Develop and optimize Spark-based pipelines to process, clean, and prepare data for machine learning tasks.
• Python Programming:
  • Write efficient and scalable Python code for model development, data preprocessing, and integration with other systems.
  • Use Python libraries like Pandas, NumPy, Scikit-learn, and Matplotlib to process data and visualize model outputs.
  • Integrate AI/ML models with backend systems and APIs.
• Generative AI:
  • Explore and apply state-of-the-art generative AI techniques such as GPT, BERT, and other transformer models to create innovative solutions.
  • Design and implement systems that leverage large language models (LLMs) and other generative algorithms to produce meaningful output based on diverse inputs.
  • Stay up to date with the latest trends in generative AI and propose new applications within the organization.

Qualifications

• Proven experience in AI/ML model development.
• Strong knowledge of deep learning frameworks.
• Experience with Apache Spark.
• Proficiency in Python programming.
• Familiarity with generative AI techniques.

Requirements

• Ability to work remotely.
• Strong problem-solving skills.
• Excellent communication skills.

Benefits

• Flexible work schedule.
• Opportunities for professional development.
• Collaborative work environment.