Machine Learning Engineer

Job Type: Fulltime-Remote

Job Responsibilities:

• 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.

• 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.

• 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.

• 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$-1200$