
AI Engineer
2 days ago
About the Role
We are seeking a passionate and results-driven AI Engineer / Data Scientist with at least 2 years of relevant experience in developing and deploying machine learning solutions. The role involves working on end-to-end AI/ML project lifecyclesfrom data preparation to model deployment—while solving real-world business challenges across industries.
Roles & Responsibilities
- Design, develop, and optimize Machine Learning and AI models for business applications.
- Perform data collection, preprocessing, cleaning, and feature engineering to build high-quality datasets.
- Conduct EDA (Exploratory Data Analysis) and data visualization to derive meaningful insights.
- Train, validate, and test ML models to ensure accuracy and robustness.
- Deploy AI/ML models using frameworks such as Flask, Streamlit, or Docker.
- Collaborate with cross-functional teams to integrate solutions into business processes.
- Monitor, evaluate, and enhance model performance over time.
- Document workflows, pipelines, and code for reproducibility and scalability.
- Stay updated with emerging trends in AI, ML frameworks, and Data Science tools.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or related fields.
- Minimum 2 years of hands-on experience in AI/ML development and deployment.
- Proficiency in Python and data science libraries (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn).
- Strong understanding of ML algorithms: Regression, Classification, Clustering, etc.
- Experience with at least one deep learning framework (TensorFlow, PyTorch, Keras).
- Solid knowledge of statistics, probability, and data visualization techniques.
- Experience working with SQL and relational databases.
- Exposure to model deployment frameworks (Flask, Streamlit, Docker).
- Excellent problem-solving, analytical, and communication skills.
Preferred Skills (Good to Have)
- Knowledge of cloud platforms (AWS, Azure, GCP).
- Exposure to MLOps practices and CI/CD pipelines.
- Hands-on with NLP, Computer Vision, or Time-Series Forecasting projects.
- Familiarity with big data tools (Apache Spark, Hadoop).
- Experience with Git/version control in collaborative workflows.
What We Offer
- Opportunity to work on live AI projects that deliver tangible business impact.
- Mentorship and guidance from experienced industry professionals.
- A culture of continuous learning and upskilling in AI, ML, and Data Science.
- Flexible and collaborative work environment.
- Competitive salary and career growth opportunities.
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