Machine Learning Engineer
Summary
Designs and builds ML models to extract insights from financial data and support business decisions using Python, TensorFlow/PyTorch, and cloud platforms.
We are seeking a highly skilled Machine Learning Engineer to join our team in Khanpur. As a Machine Learning Engineer you will be responsible for designing, developing, and implementing machine learning models and algorithms to solve complex problems and drive business decisions.
Responsibilities
- Collaborate with cross‑functional teams to identify business problems that can be solved using machine learning techniques.
- Design, develop, and implement machine learning models and algorithms.
- Analyze large datasets to identify patterns and insights that can be used to improve model performance.
- Continuously monitor and evaluate model performance, making necessary adjustments as needed.
- Communicate complex technical concepts and findings to non‑technical stakeholders.
Requirements
- Bachelors or Masters degree in Computer Science, Mathematics, Statistics, or related field.
- Minimum of 3 years of experience in machine learning engineering or data science roles.
- Strong programming skills in languages such as Python or R.
- Experience with machine learning frameworks such as TensorFlow or PyTorch.
- Knowledge of data mining techniques and tools for data cleaning, transformation, and visualization.
- Excellent problem‑solving skills and ability to think creatively.
Preferred
- Experience with cloud computing platforms such as AWS or Azure.
- Familiarity with big data technologies like Hadoop or Spark.
- Knowledge of natural language processing (NLP) techniques.
Salary: $1500 per month, negotiable based on experience.
Location: Khanpur.
Visa sponsorship available.
Type: Full‑time.