Compañía

Thermo Fisher ScientificVer más

addressDirecciónRemote
CategoríaInvestigación y desarrollo

Descripción del trabajo

Job Description
As a global leader in serving science, Thermo Fisher Scientific is dedicated to enabling our customers to make the world healthier, cleaner, and safer. Our core values - Integrity, Intensity, Innovation, and Involvement - are the pillars of our company culture, guiding our interactions and driving our commitment to excellence.
How will you make an impact?
We are seeking a highly skilled and experienced Data Scientist with a strong background in DevOps practices and proficiency in Databricks. This role is central to our team, focusing on developing and deploying innovative machine learning and deep learning models. The ideal candidate will be adept at using Python for complex data analysis and model development, and will be experienced in managing AWS cloud services for scalable AI/ML solutions.

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Skills employed in this job will include:
- Lead the development and deployment of advanced AI/ML models, with a specialized focus on deep learning and GenAI technologies.
- Utilize Python and Databricks for sophisticated data analysis, model development, and interactive application creation.
- Expertly manage AWS cloud services to ensure scalable, efficient, and robust AI/ML solutions.
- Implement and maintain best practices in DevOps methodologies to enhance the reliability and efficiency of AI/ML model deployments.
- Work collaboratively with cross-functional teams to ensure seamless integration of AI/ML models into production environments.
- Stay abreast of the latest advancements in AI/ML and DevOps, and apply this knowledge to continuous improvement of processes and systems.
- Drive innovation and creative problem-solving within the team.
Minimum Qualifications:
- Advanced degree in Computer Science, Data Science, Engineering, or a related field.
- Minimum of 5 years of professional experience in data science, with a focus on machine learning and AI.
- Demonstrated expertise in Python.
- Proven track record in deploying deep learning models in production environments.
- Solid experience in DevOps methodologies and tools.
- Familiarity with GenAI technologies is highly desirable.
Minimum Qualifications:
- A vibrant and diverse work environment, where your work contributes directly to our mission.
- The opportunity to collaborate with enthusiastic colleagues who are committed to making a real difference in the world.
- Empowerment to bring your imagination to life on real-world challenges, supported by a culture that values innovation and involvement.
- A competitive salary and comprehensive benefits package.
Thermo Fisher Scientific is an Equal Opportunity Employer. We value diversity in our workforce and are committed to creating an inclusive environment for all employees. Join us in our mission to make a significant impact on global health, cleanliness, and safety.
Compensation and Benefits
The salary range estimated for this position based in Texas is $107,900.00-$177,850.00.
This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes:
  • A choice of national medical and dental plans, and a national vision plan, including health incentive programs
  • Employee assistance and family support programs, including commuter benefits and tuition reimbursement
  • At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy
  • Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan
  • Employees' Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount

For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards

Refer code: 562955. Thermo Fisher Scientific - El día anterior - 2024-02-19 12:34

Thermo Fisher Scientific

Remote

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