
Innovative Data Science Solutions
2 weeks ago
The role of a Data Scientist / AI Engineer is to design, develop, and implement data-driven solutions using machine learning and artificial intelligence.
This position requires expertise in programming languages such as Python or R, with a strong focus on Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch.
- Key Responsibilities:
- Collaborate with stakeholders to understand business challenges and translate them into data science problems.
- Develop and optimize machine learning models (supervised, unsupervised, deep learning, NLP, etc.).
- Preprocess, clean, and analyze large structured and unstructured datasets.
- Deploy ML models into production environments using MLOps practices.
- Build data pipelines and work with engineers to ensure scalability and reliability of AI solutions.
- Conduct experiments, perform model validation, and optimize performance.
- Develop dashboards and visualizations to communicate insights to business teams.
Requirements:
- Bachelor's or master's degree in computer science, Data Science, Statistics, Mathematics, Engineering, or related field.
- Strong programming skills in Python (preferred) or R, with expertise in Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch.
- Solid understanding of machine learning algorithms, deep learning, NLP, and statistical modeling.
- Experience with SQL and data manipulation.
- Exposure to MLOps tools (MLflow, Kubeflow, Docker, CI/CD pipelines).
- Experience working with cloud platforms (AWS, Azure, GCP).
We are seeking a highly motivated Data Scientist / AI Engineer with 3–4 years of professional experience in data science, machine learning, and AI solution development who can bring exceptional value to our organization through their technical expertise and passion for innovation.
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