
AI/ML Engineer
19 hours ago
Job Title: AI/ML Engineer
Experience: 35 years
Location: [Insert Location / Remote]
Job Description:
We are looking for a skilled and passionate AI/ML Engineer to join our team. The ideal candidate will have hands-on experience in designing, developing, and deploying AI and Machine Learning solutions using Python and cloud-based platforms. You will work on cutting-edge AI technologies and help drive data-driven innovation across the organization.
Key Responsibilities:
- Design, develop, and implement AI/ML models and algorithms to solve business problems.
- Work with large datasets to train, validate, and deploy machine learning models.
- Collaborate with cross-functional teams to integrate AI solutions into products and workflows.
- Utilize cloud platforms, specifically Google Cloud, Google AI Studio, and other cloud services for deployment and scaling of AI/ML models.
- Apply best practices in data preprocessing, feature engineering, and model evaluation.
- Keep up-to-date with emerging AI/ML technologies and tools.
Required Skills & Qualifications:
- 3–5 years of experience in AI/ML engineering or a related field.
- Strong programming skills in Python.
- Hands-on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience with cloud services, particularly Google Cloud Platform and Google AI Studio.
- Knowledge of data science techniques, statistical modeling, and predictive analytics.
- Ability to work with structured and unstructured data for model training and analysis.
- Strong problem-solving skills and the ability to work independently and collaboratively.
Preferred:
- Experience with deploying AI/ML models in production environments.
- Familiarity with other Google services (BigQuery, Dataflow, Vertex AI).
- Exposure to natural language processing (NLP), computer vision, or deep learning projects.
Why Join Us:
- Work on innovative AI solutions with cutting-edge technology.
- Opportunity to grow and learn in a dynamic and collaborative environment.
- Flexible work environment and supportive team culture.
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