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Location

Foster, CA | United States

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Job description

Job Title: Machine Learning Engineer Location: Foster City, CA - Hybrid
Duration: 12+ Months Payrate starts from: $53/hr. W2 only


About Role:
We are looking for a highly skilled machine learning expert to join our data science team within PDM (Pharmaceutical Development and Manufacturing) organization. We want a passionate team player who is about machine learning and is updated with the algorithms and technology in this field. The candidate will be involved in all processes from data collection, cleansing, pre-processing, creating training models, testing models, evaluating and interpreting models, fine-tuning models, making predictions, sharing insights.


Top 3 Required Skill :

• Deep understanding of machine learning algorithms and methodologies.
• Strong proficiency with Python and machine learning model development.
• Collaboration experiences with software engineers.

Top 3 Nice to Have Skill :

• Working experiences in Pharma industry.
• Working experiences in a matrix organization.
• Research publications in machine learning.

Job Responsibilities :

• Understand business objectives and develop machine learning models that help to achieve them, along with metrics to track the progress.
• Analyse various machine learning algorithms that could be used to solve a given problem and rank them by their success probability.
• Explore and visualize the data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world.
• Perform data mining and extract useful data from various data sources.
• Define data pre-processing and feature engineering to be done on a given dataset, including both structured and unstructured data.
• Define data augmentation pipeline.
• Analyse large amount of data to find patterns, insights and solutions.
• Develop machine learning models to select features, create and optimize classifiers.
• Develop machine learning models to provide predictive capabilities.
• Analyse the errors of the model and design strategies to overcome them.
• Collaborate with other data scientists and software developers to deploy and operationalize machine learning models.
• Present results within data science team and with business stakeholders.

Required Skills and Experiences :

• Deep understanding of machine learning algorithms and methodologies.
• At least 5 years hands-on experience building machine learning models.
• Solid coding skills in Python.
• Strong proficiency with Python and basic libraries for machine learning such as scikit-learn.
• Strong proficiency with a deep learning framework such as TensorFlow or Keras.
• Expertise in visualizing and manipulating big datasets.
• Collaboration experiences with software engineers.

Nice to have :

• Working experiences in Pharma industry.
• Working experiences in a matrix organization.

Education :

• BS or MS degree in computer science, electrical engineering, chemical engineering, mechanical engineering, or demonstrate similar skills while holding a related engineering degree.

Below is the brief introduction of SPECTRAFORCE, the benefits we offer and the disclaimers: About Us
Established in 2004, SPECTRA FORCE is one of the largest and fastest-growing diversity-owned staffing firms in the US. The growth of our company is a direct result of our global client service delivery model that is powered by our state-of-the-art A.I. proprietary talent acquisition platform, robust ISO 9001:2015/ISO 27001 certified processes, and strong and passionate client engaged teams. We have built our business by providing talent and project-based solutions, including Contingent, Permanent, and Statement of Work (SOW) services to over 140 clients in the US, Canada, Puerto Rico, Costa Rica, and India. Key industries that we service include Technology, Financial Services, Life Sciences, Healthcare, Telecom, Retail, Utilities and Transportation. SPECTRA FORCE is built on a concept of human connection, defined by our branding attitude of NEWJOBPHORIA , which is the excitement of bringing joy and freedom to the work lifestyle so our people and clients can reach their highest potential.
Learn more at:


Benefits
SPECTRA FORCE offers ACA compliant health benefits as well as dental, vision, accident, critical illness, voluntary life, and hospital indemnity insurances to eligible employees. Additional benefits offered to eligible employees include commuter benefits, 401K plan with matching, and a referral bonus program. SPECTRA FORCE provides unpaid leave as well as paid sick leave when required by law.
SPECTRA FORCE is an equal opportunity employer and does not discriminate against any employee or applicant for employment because of race, religion, color, sex, national origin, age, sexual orientation, gender identity, genetic information, disability or veteran status, or any other category protected by applicable federal, state, or local laws. Please contact Human Resources at if you require reasonable accommodation.


Notice to California Applicants: SPECTRA FORCE is committed to complying with the California Privacy Rights Act ( CPRA ) effective January 1, 2023; and all data privacy laws in the jurisdictions in which it recruits and hires employees. A Notice to California Job Applicants Regarding the Collection of Personal Information can be located on our website. Applicants with disabilities may access this notice in an alternative format by contacting .

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• Dice Id: 10119021
• Position Id: 8215907

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