Artificial Intelligence and Machine Learning
1 week ago
**Key Responsibilities**:
- **Model Development**:
- Design and implement machine learning models and algorithms for classification, regression, clustering, and recommendation systems.
- Build and train deep learning models for tasks like image recognition, NLP, and time-series forecasting.
- **Data Processing**:
- Gather, preprocess, and analyze structured and unstructured data.
- Ensure data quality, integrity, and scalability for machine learning pipelines.
- **Deployment and Optimization**:
- Deploy ML models to production using frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Monitor, optimize, and fine-tune model performance.
- **AI Integration**:
- Collaborate with software developers and data engineers to implement solutions.
- **Research and Innovation**:
- Stay updated on the latest AI/ML trends, tools, and technologies.
- Conduct experiments to prototype innovative solutions.
- **Collaboration**:
- Work with product teams to understand business requirements and translate them into AI/ML solutions.
- Present findings, insights, and recommendations to stakeholders.
**Qualifications**:
- **Educational Background**:
- Bachelor’s or Master’s in Computer Science, Data Science, Engineering, Mathematics, or a related field.
- **Technical Skills**:
- Proficiency in programming languages like Python, R, or Java.
- Experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Knowledge of cloud platforms (AWS, Azure, Google Cloud) for AI/ML deployment.
- Familiarity with big data technologies (e.g., Hadoop, Spark).
- **Experience**:
- 2+ years of experience in AI/ML development or a related role.
- Strong understanding of algorithms, statistics, and data structures.
Pay: ₹35,000.00 - ₹40,000.00 per month
**Benefits**:
- Paid sick time
- Work from home
Schedule:
- Day shift
- Night shift
Supplemental Pay:
- Overtime pay
**Education**:
- Bachelor's (preferred)
**Experience**:
- total work: 2 years (required)
**Language**:
- English (preferred)
Work Location: In person
Expected Start Date: 01/01/2025
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