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15 Ignatiuz Jobs
Senior Associate - Machine Learning Engineer
3-5 years
Indore
1 vacancy
Senior Associate - Machine Learning Engineer
Ignatiuz
posted 13hr ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- Design and Build Models: Develop, implement, and optimize deep learning models using frameworks such as TensorFlow, PyTorch, and Keras.
- Data Processing and Management: Work with large datasets, clean, preprocess, and transform data for use in training deep learning models.
- Algorithm Development: Research and develop new algorithms for various applications including computer vision, natural language processing (NLP), reinforcement learning, and more.
- Model Training and Tuning: Train models using GPUs/TPUs, optimize them, and fine-tune them to improve performance.
- Deployment: Deploy models in production environments, ensuring that they meet performance and scalability requirements.
- Collaboration: Collaborate with data engineers, software engineers, and product teams to integrate AI solutions into products and services.
- Stay Updated: Continuously research and stay up-to-date with the latest trends and advancements in deep learning and AI.
- Documentation: Create and maintain thorough documentation for models, data pipelines, and systems.
Requirements- Education: Bachelors or Masters degree in Computer Science, AI, Data Science, or related field.
- Experience: Minimum of 3-5 years of professional experience in machine learning or deep learning roles.
- Technical Skills:
- Expertise in Deep Learning frameworks like TensorFlow, Keras, PyTorch.
- Strong understanding of neural networks, backpropagation, convolutional networks (CNNs), recurrent neural networks (RNNs), transformers, and GANs.
- Solid understanding of machine learning concepts and algorithms.
- Strong proficiency in Python, including libraries like NumPy, Pandas, SciPy, Scikit-learn, and Matplotlib.
- Experience with GPU/TPU programming for efficient training.
- Knowledge of cloud platforms such as AWS, Azure, or Google Cloud for model deployment.
- Familiarity with containerization (Docker) and CI/CD pipelines for model deployment.
- Experience in working with NLP, Computer Vision, or Reinforcement Learning projects is a plus.
- Education: Bachelors or Masters degree in Computer Science, AI, Data Science, or related field.
Employment Type: Full Time, Permanent
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Flexible timing
Monday to Friday
No travel
Day Shift
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