Machine Learning Engineer

6 days ago

Bengaluru, Karnataka, India Ctruh Full time

Job Description Technologies is a leading innovator in the tech industry, dedicated to creating cutting-edge solutions that drive business success

- Our team is passionate about technology and committed to delivering exceptional products that meet the evolving needs of our clients.
- We are seeking a creative and experienced Machine Learning Engineer to join our dynamic team
- The ideal candidate will have a strong background in developing and deploying NLP and computer vision models, deep learning, and API creation
- You will be responsible for innovating and exploring new models to accomplish complex tasks and improve our product offerings.
- Design, develop, and deploy machine learning models with a focus on Natural Language Processing (NLP) and Computer Vision.
- Perform data labelling and preprocessing to prepare datasets for training.
- Select appropriate deep learning models and algorithms to solve specific problems.
- Train, fine-tune, and validate models to achieve high accuracy and performance.
- Build APIs for integrating machine learning models into existing applications.
- Continuously explore and evaluate new machine learning techniques and models to enhance our capabilities.
- Collaborate with cross-functional teams to understand business needs and provide AI-driven solutions.
- Document and present model development processes, results, and insights to stakeholders.
- Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
- Proven experience in developing and deploying machine learning models, particularly in NLP and Computer Vision.
- 3 or 3+ years of experience in Artificial Intelligence and Machine Learning.
- Proficiency in programming languages such as Python, and experience with machine learning libraries/frameworks like TensorFlow, PyTorch, and scikit-learn.
- Strong understanding of deep learning techniques and algorithms.
- Experience with data preprocessing and data labelling.
- Ability to build and deploy APIs for machine learning models.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills and the ability to work well in a team environment
- Experience with cloud platforms such as AWS, Google Cloud, or Azure.
- Familiarity with big data technologies like Hadoop or Spark.
- Knowledge of additional programming languages such as R, Java, or C++.
- Understanding of MLOps and model deployment pipelines.

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