Machine Learning Engineer

Job Type: Fulltime-Remote

Job Responsibilities:

1. Data Collection and Analysis:
   • Collecting data by analyzing business results or setting up new studies.
   • Transforming data into suitable formats for analysis.
   • Creating experimental frameworks to collect data.
   • Building tools for automating data collection.
   • Searching and extracting relevant information from large data sets.
2. Reporting and Presentation:
   • Creating reports and presentations for business purposes.
   • Correlating similar data to identify actionable insights.
   • Solving complex problems using machine learning (ML)-based algorithms.
3. Machine Learning Development:
   • Researching, designing, and implementing machine learning systems.
   • Transforming prototypes of data science into practical solutions.
   • Verifying data quality and ensuring it through data cleaning.
   • Conducting tests and experiments on machine learning models.
   • Developing machine learning models according to specific requirements.
   • Training models and fine-tuning their hyperparameters.
   • Performing statistical analysis and refining testing results.
   • Selecting and implementing suitable machine learning algorithms.
   • Understanding business objectives and developing ML models.
   • Selecting appropriate training data sets for ML model development.
   • Exploring Generative AI techniques for creative model outputs.
   • Applying prompt engineering methods to enhance model performance.
   • Utilizing Chat GPT and LangChain technologies for natural language processing (NLP) tasks.
4. Skills Required:
   • Strong proficiency in using the following tools and technologies:
     • TensorFlow, Pytorch, Pandas, NumPy, Matplotlib, Seaborn, OpenCV, YOLOVx, Scikitlearn, CNN, RNN, Python, SQL, GIT, and Linux.
   • Familiarity with Generative AI techniques and frameworks.
   • Knowledge of prompt engineering methods for improving model outputs.
   • Experience with Chat GPT and LangChain technologies for NLP tasks.
   • Professional-level proficiency in English.

Note: The job responsibilities and skills can be further tailored to align with the organization's specific requirements and the role.

Salary Range: 900$-1200$