Lead Machine Learning Engineer
2 weeks ago
About GSPANN
Headquartered in California, U.S.A., GSPANN provides consulting and IT services to global clients. We help clients transform how they deliver business value by helping them optimize their IT capabilities, practices, and operations with our experience in retail, high-technology, and manufacturing. With five global delivery centers and 1900+ employees, we provide the intimacy of a boutique consultancy with the capabilities of a large IT services firm.
Lead ML Engineer
Location-San Francisco, CA(Hybrid / 1-2 Days Onsite)
Job Type-Long Term
Skills Requirements
• 10 + years of experience in data engineering, machine learning engineering, data science.
• Working experience with Python, Pyspark, Machine learning (Supervised & Unsupervised) and deep learning frameworks like Scikit-learn, TensorFlow, Keras, PyTorch
• Experience in ecommerce driving personalization related initiatives.
• Hands on experience with MLOps frameworks in Azure and Databricks.
• Experience in Microsoft Azure Cloud and Databricks.
• Experience with DevOps/MLOps strongly preferred.
• Excellent written and verbal communication and presentation skills.
• Ability to work independently and in a team to work productively with business stakeholders.
Education
• Bachelor's degree in computer science, statistics, or related field.
Working at GSPANN
GSPANN is a diverse, prosperous, and rewarding place to work. We provide competitive benefits, educational assistance, and career growth opportunities to our employees. Every employee is valued for their talent and contribution. Working with us will give you an opportunity to work globally with some of the best brands in the industry.
The company does and will take affirmative action to employ and advance in the employment of individuals with disabilities and protected veterans and to treat qualified individuals without discrimination based on their physical or mental disability status. GSPANN is an equal opportunity employer for minorities/females/veterans/disabled.
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