Machine Learning Engineer at HCLTech in Milwaukee, Wisconsin

Posted in Other about 4 hours ago.

Type: full-time





Job Description:

HCLTech is looking for a highly talented and self- motivated MLOps Engineer to join it in advancing the technological world through innovation and creativity.

Job Title: MLOps Engineer

Job ID: 2533027

Position Type: Full-time

Location: Milwaukee, Wisconsin (Hybrid)

Role/Responsibilities:
  • Lead the design, development, and deployment of sophisticated machine learning models and systems for complex and large-scale applications.
  • Architect and implement 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, including product managers, data scientists, and software engineers, to integrate machine learning solutions into business processes and products.
  • Drive innovation by researching and applying the latest advancements in machine learning, artificial intelligence, and data science.
  • Ensure best practices in machine learning development, including rigorous testing, validation, and performance optimization.
  • Develop and maintain comprehensive documentation for models, algorithms, and processes to ensure knowledge sharing and project continuity.

Qualifications & Experience

Minimum Requirements
  • 7+ years of experience preferred.
  • 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 but not limited to 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).
  • Excellent problem-solving skills, with the ability to tackle complex and novel challenges in machine learning and data science.
  • Leadership and mentoring skills, with experience managing or guiding technical teams and projects.

Desired Qualifications
  • Outstanding communication skills, with the ability to convey complex technical concepts to non-technical stakeholders and collaborate effectively across teams.

Pay Range in Milwaukee, Wisconsin

Base Salary: $125,000 - $ 135,000

In addition, this position qualifies for benefits like health insurance, paid time off (PTO), 401(K). Exact compensation may vary based on skills, experience, education, and/or to comply with federal or state law.

How You'll Grow

At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.

Equality & Opportunity for All

Representing 165 nationalities across the globe, we pride ourselves on being an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law.
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