Job Openings Machine Learning Engineer

About the job 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$-1200$


Or refer someone