ML Engineer
Description For ML Engineer
TTEC Digital is seeking an experienced Machine Learning Engineer to join their team in a hybrid work environment. This role is perfect for someone passionate about artificial intelligence and staying current with industry developments.
The position involves leading end-to-end machine learning processes, from data collection and preprocessing to model deployment in production. The ideal candidate will have 4-5 years of programming experience, with at least 3 years specifically in Data Science.
As an ML Engineer, you'll be responsible for developing models that achieve business objectives, managing resources effectively, and implementing sophisticated machine learning solutions. The role requires expertise in Python/Java/R, deep learning frameworks (Keras/PyTorch/TensorFlow), and cloud-based systems.
TTEC Digital offers a unique work environment focused on exceptional customer experiences through strategic design and technology integration. The company prioritizes work-life balance, continuous education, and high-performance incentives. As a remote-first employer, they offer flexibility in work location while maintaining a collaborative atmosphere.
The role combines technical expertise with leadership opportunities, requiring strong interpersonal skills and the ability to mentor junior team members. You'll work on challenging projects while contributing to the company's mission of delivering exceptional customer experiences through innovative technology solutions.
Key technical requirements include deep knowledge of mathematics, statistics, and algorithms, proficiency in machine learning frameworks, and experience with cloud platforms. The position offers opportunities for growth and development in a rapidly evolving field while working with cutting-edge AI technologies.
Responsibilities For ML Engineer
- Understanding business objectives and developing models to achieve them
- Managing resources including hardware, data, and personnel
- Analyzing and selecting appropriate ML algorithms
- Exploring and visualizing data
- Verifying and ensuring data quality through cleaning
- Supervising data acquisition process
- Finding available datasets for training
- Defining validation strategies
- Defining preprocessing and feature engineering
- Defining data augmentation pipelines
- Training models and tuning hyperparameters
- Analyzing model errors and designing improvement strategies
- Deploying models to production
- Performing statistical analysis and fine-tuning
Requirements For ML Engineer
- PG in Computers or BE in Computers
- 4-5 years experience in programming
- 3 years experience in Data Science
- Deep knowledge of math, probability, statistics and algorithms
- Experience with machine learning frameworks (Keras/PyTorch/Tensorflow)
- Proficiency in Python/Java/R
- Experience with cloud-based systems (GCP)
- Linux fundamentals knowledge
- Strong interpersonal skills
- Leadership ability
- Project management skills
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