Advanced Machine Learning Architect
6 days ago
HCLTech is seeking an experienced MLOps Engineer to join its team and contribute to advancing the technological world through innovation and creativity.
About the Role:
The ideal candidate will have expertise in designing, developing, and deploying sophisticated machine learning models and systems for complex and large-scale applications.
Key Responsibilities:
- Lead the architecture and implementation of advanced machine learning solutions, including deep learning, reinforcement learning, and other cutting-edge techniques.
- Oversee the entire lifecycle of machine learning projects, from ideation and data collection to model training, deployment, and maintenance.
- Mentor and guide junior and mid-level engineers, providing technical leadership and support on machine learning projects.
- Collaborate with cross-functional teams to integrate machine learning solutions into business processes and products.
- Stay up-to-date with the latest advancements in machine learning, artificial intelligence, and data science, and drive innovation within the company.
Requirements & Qualifications:
To be successful in this role, the candidate should have:
- At least 7 years of experience in machine learning engineering.
- Expertise in Python and extensive experience with machine learning libraries such as NumPy, Pandas, scikit-learn, TensorFlow, or PyTorch.
- Advanced knowledge of machine learning and deep learning techniques, including neural networks, natural language processing, and computer vision.
- Proven experience with data engineering, including data preprocessing, feature engineering, and working with large-scale data processing technologies such as Spark.
- Good background in deploying machine learning models in production environments, with proficiency in using Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure).
Salary Range:
The estimated salary for this position in Milwaukee, Wisconsin, is between $125,000 and $135,000 per year. Additionally, this role qualifies for benefits such as health insurance, paid time off (PTO), and a 401(K) plan.
Growth Opportunities:
HCLTech offers continuous opportunities for growth and development, with transparent communication, learning and career development programs, and opportunities to experiment in different roles or industries.
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