Employer Industry: Information Technology and Data Solutions
Why consider this job opportunity:
- Hybrid work model with flexibility of working from home (2-3 days a week in the office)
- Comprehensive benefits including flexible vacation, mental health days, and wellness resources
- Opportunities for career development and growth through continuous learning initiatives
- Strong emphasis on work‑life balance with policies supporting personal responsibilities
- Collaborative and inclusive work culture focused on innovation and customer satisfaction
- Chance to contribute to meaningful social impact projects within the community
What to Expect (Job Responsibilities):
- Provide technical leadership and collaborate with engineers to enhance methodologies and technology stack
- Engage in the entire software development lifecycle, delivering high‑quality software solutions
- Develop large‑scale data processing pipelines for machine learning algorithm training
- Work in a team‑oriented environment, sharing knowledge and collaborating with cross‑functional teams
- Innovate and implement new technologies while ensuring effective communication with stakeholders
What is Required (Qualifications):
- Bachelor’s Degree in Computer Science or a related field
- Minimum of 8 years of software engineering experience, including 2 years on machine learning products
- Proven experience leading technical workstreams within a software engineering organization
- Proficiency in Python and familiarity with data science libraries (e.g., Numpy, Pandas)
- Ability to integrate machine learning capabilities into existing systems and deploy them effectively
How to Stand Out (Preferred Qualifications):
- Experience with integrating machine learning solutions into production‑grade software
- Familiarity with Natural Language Processing (NLP) tasks such as Named Entity Recognition
- Hands‑on experience with additional programming languages (e.g., Java, TypeScript)
- Understanding of ModelOps and MLOps principles
- Demonstrated adaptability and success in fast‑paced environments
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