What are the responsibilities and job description for the AI/ML Engineer/Data Scientist position at K&K Global Talent Solutions Inc.?
Job Description
Job Description
Responsibilities :
Generative AI Application Development
Develop and implement AI solutions such as Retrieval-Augmented Generation (RAG) and Agentic Workflows using advanced techniques in prompt engineering and fine-tuning of Large Language Models (LLMs).
Conduct thorough evaluations of LLMs to ensure the models meet the desired performance criteria and are aligned with business goals.
Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows, enhancing overall efficiency and capabilities.
Model Development and Deployment
Design and develop machine learning models and algorithms to address business challenges and improve product features.
Deploy machine learning models in production environments to ensure scalability and efficiency.
Optimize and refine models based on performance metrics and feedback.
Data Management
Collect, clean, and preprocess data from various sources to create robust datasets for training and evaluation.
Implement data augmentation and feature engineering techniques to enhance model performance.
Maintain and manage data pipelines to ensure seamless data flow and integration.
Qualifications
Bachelor's or Master's degree in computer science, Statistics, Data Science, or a related field.
6 years of experience in Machine Learning and Data Science.
Strong understanding of statistical methods, data structures, and algorithms.
Strong programming skills in Python; experience with Machine Learning libraries and Generative AI frameworks (e.g., Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, PyTorch, scikit-learn, LangChain) and LLMs.
Experience developing and deploying AI solutions on cloud platforms (e.g., AWS, Azure, or GCP).
Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau.
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for deploying AI solutions.
Proven experience in developing and deploying machine learning models in a production environment.
Experience working with large datasets and performing data analysis.
Previous experience in a similar role or industry is preferred.
Excellent communication and collaboration skills.
Strong problem-solving skills and analytical thinking
Keep a pulse on the job market with advanced job matching technology.
If your compensation planning software is too rigid to deploy winning incentive strategies, it’s time to find an adaptable solution.
Compensation Planning
Enhance your organization's compensation strategy with salary data sets that HR and team managers can use to pay your staff right.
Surveys & Data Sets
What is the career path for a AI/ML Engineer/Data Scientist?
Sign up to receive alerts about other jobs on the AI/ML Engineer/Data Scientist career path by checking the boxes next to the positions that interest you.
