Hyderabad, Telangana, India
Information Technology
Full-Time
Xpetize
Overview
Machine learning Engineer
Experience : 8 to 12 years
Location : Bangalore
Job Type : Full-time
Department : Data Science / Engineering / R&D
Job Summary
We are seeking a skilled and innovative AI/ML Engineer to join our team. You will be responsible for designing, developing, and deploying machine learning models and AI systems that help solve real-world problems. This is an exciting opportunity to work with cutting-edge technologies in a fast-paced environment.
Key Responsibilities
Experience : 8 to 12 years
Location : Bangalore
Job Type : Full-time
Department : Data Science / Engineering / R&D
Job Summary
We are seeking a skilled and innovative AI/ML Engineer to join our team. You will be responsible for designing, developing, and deploying machine learning models and AI systems that help solve real-world problems. This is an exciting opportunity to work with cutting-edge technologies in a fast-paced environment.
Key Responsibilities
- Design, develop, and deploy scalable machine learning and deep learning models.
- Analyze large datasets to extract meaningful insights and prepare data for modeling.
- Collaborate with cross-functional teams (data engineers, product managers, software developers).
- Research and implement state-of-the-art AI/ML algorithms.
- Optimize model performance and retrain models as needed.
- Build and maintain APIs and pipelines for model serving.
- Stay current with the latest developments in AI/ML technologies and research.
- Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or related field.
- Proven experience with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong programming skills in Python, R, or similar languages.
- Experience with data processing tools like Pandas, NumPy, Spark, etc.
- Solid understanding of statistics, probability, and data modeling techniques.
- Knowledge of cloud platforms (AWS, GCP, or Azure) is a plus.
- Familiarity with MLOps tools and best practices is a plus.
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