Data Analytics Engineer
2 days ago
About Data Dynamics
">Data Dynamics is a leading data-driven company that leverages cutting-edge technologies to drive business growth. Our team of experts collaborates with clients across various industries to deliver innovative solutions.
Job Summary
">We are seeking an experienced Senior Machine Learning Specialist to join our team. As a key member, you will be responsible for developing and deploying machine learning models to solve complex business problems. Your expertise in deep learning and NLP will enable us to stay ahead of the competition.
Key Responsibilities
">As a Senior Machine Learning Specialist at Data Dynamics, your primary responsibilities will include:
- ">
- Designing, developing, and deploying custom machine learning models to address complex business challenges">
- Collaborating with cross-functional teams to understand requirements and translate them into technical solutions">
- Implementing and optimizing machine learning algorithms to train models on custom datasets">
- Evaluating model performance using appropriate metrics and refining models to enhance accuracy and efficiency">
- Developing and implementing feature engineering techniques to extract meaningful features from raw data">
- Exploring and experimenting with various machine learning algorithms to identify the best fit for specific use cases">
- Omitting algorithm optimization for speed, scalability, and accuracy">
- Developing and implementing deep learning models for complex tasks such as image recognition, speech recognition, and natural language processing (NLP)">
Requirements
">To be successful in this role, you should have:
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- 4-5 years of hands-on experience in machine learning model development and deployment">
- Proven experience in training and fine-tuning machine learning models on custom datasets">
- Proficiency in Python and familiarity with machine learning libraries such as TensorFlow, PyTorch, Scikit-Learn, and Keras">
- Strong understanding of various machine learning algorithms (e.g., regression, classification, clustering, neural networks) and their applications">
- Experience with data preprocessing and feature engineering techniques">
- Knowledge of optimization techniques and best practices for model training">
- Deep learning and NLP skills, including proficiency in developing and deploying deep learning models using frameworks like TensorFlow or PyTorch">
- Knowledge of big data technologies and frameworks (e.g., Hadoop, Spark) is a plus">
What We Offer
">We offer a competitive salary range of $125,000 - $160,000 per year, depending on experience. In addition to a generous compensation package, we provide:
- ">
- A dynamic and collaborative work environment">
- Ongoing professional development opportunities">
- A comprehensive benefits package, including health insurance, retirement savings, and paid time off">
- The chance to work on exciting projects and contribute to the growth of a leading data-driven company">
Contact Us
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