Machine Learning Solutions Architect
22 hours ago
Tessolve is a leading provider of innovative technology solutions, committed to delivering exceptional results in the field of machine learning and software engineering.
Salary:$120,000 - $180,000 per annum, depending on experience.
Job DescriptionWe are seeking a skilled Machine Learning Solutions Architect to join our expanding team. In this role, you will be instrumental in designing and implementing robust machine learning models and algorithms to solve specific business problems.
- Main Responsibilities:
- Build ML solutions for Tessolve business problems
- Design, implement, and iterate on machine learning models and algorithms to solve specific business problems
- Work with datasets, clean and preprocess data, and ensure data quality for training and evaluation
- Implement monitoring tools to track the performance of deployed models and provide maintenance and updates as needed
- Keep abreast of the latest advancements in machine learning and artificial intelligence to continuously improve models and processes
To be successful in this role, you should have:
- A Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field
- Strong programming skills in languages such as Python, TensorFlow, or PyTorch
- Strong software development experience preferably in Python / Java / C / C++
- Solid understanding of machine learning algorithms, data structures, and statistics
- Excellent problem-solving and communication skills
- Ability to work independently and collaboratively in a fast-paced environment
Tessolve offers a competitive compensation package, including health insurance, retirement savings plan, and paid time off. We also provide opportunities for professional growth and development, as well as a dynamic and collaborative work environment.
Preferred Qualifications:
- Experience in building web applications and microservices is a plus
- Experience in working on Large Language Models (LLMs)
- Experience with data preprocessing, feature engineering, and model evaluation
- Familiarity with cloud platforms
- Familiarity with deployment of machine learning models
- Familiarity with cloud AI services, pre-trained models, and fine-tuning models
- Expertise in building and deploying models from scratch as well as fine-tuning models
- Experience working with one or more of the following ML models: SVM, XGBoost, CNN, Transformers
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