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BlackLine

AI Machine Learning Engineer

Reposted 17 Hours Ago
Be an Early Applicant
Remote or Hybrid
Hiring Remotely in Poland
Mid level
Remote or Hybrid
Hiring Remotely in Poland
Mid level
Design, develop, and deploy machine learning models while optimizing AI systems for performance. Conduct data analysis and mentor junior engineers.
The summary above was generated by AI
Get to Know Us:
It's fun to work in a company where people truly believe in what they're doing!
At BlackLine, we're committed to bringing passion and customer focus to the business of enterprise applications.
Since being founded in 2001, BlackLine has become a leading provider of cloud software that automates and controls the entire financial close process. Our vision is to modernize the finance and accounting function to enable greater operational effectiveness and agility, and we are committed to delivering innovative solutions and services to empower accounting and finance leaders around the world to achieve Modern Finance.
Being a best-in-class SaaS Company, we understand that bringing in new ideas and innovative technology is mission critical. At BlackLine we are always working with new, cutting edge technology that encourages our teams to learn something new and expand their creativity and technical skillset that will accelerate their careers.
Work, Play and Grow at BlackLine!
Make Your Mark:
We are seeking a highly skilled and motivated AI Machine Learning Engineer to join our dynamic team and lead the development of innovative AI solutions. You will independently design, develop, and deploy cutting-edge machine learning models and algorithms, contributing to the advancement of AI technologies at BlackLine. You will optimize AI systems for scalability and performance, conduct in-depth data analysis, and collaborate with cross-functional teams to deliver impactful solutions.
You'll Get To:
  • Independently design, develop, and implement machine learning algorithms and models to solve complex business problems.
  • Optimize AI systems for scalability, performance, and real-time applications.
  • Conduct in-depth data analysis to identify patterns and insights that inform the AI development process.
  • Prototype and test AI applications, refining machine learning techniques to improve model accuracy.
  • Develop and maintain AI pipelines for the seamless deployment of models into production environments.
  • Collaborate effectively with cross-functional teams, including stakeholders and product managers.
  • Mentor junior AI engineers, providing technical guidance and contributing to their growth.
  • Stay abreast of and implement the latest advancements in AI and machine learning frameworks.
  • Proactively anticipates the deployment needs of code and infrastructure assets, writing code to facilitate this process effectively.

What You'll Bring:
  • Strong programming skills in Python and proficiency in relevant libraries such as TensorFlow, PyTorch, and scikit-learn.
  • Significant experience in data modeling, data engineering, and big data analysis.
  • Experience with AI deployment and DevOps practices in one or more of AWS, Azure, GCP.
  • Solid understanding of a broad range of machine learning algorithms and principles.
  • Strong analytical, problem-solving, and critical thinking skills.
  • Good understanding of software engineering principles and best practices.
  • proficiency in containerization technologies (e.g., Docker, Kubernetes).
  • Familiarity with cloud platforms, such as AWS Sagemaker, Azure ML, or Google Cloud vertex.
  • Experience with workflow orchestration tools.
  • Experience building and deploying API based microservices.
  • Expertise in data preprocessing, cleaning, and feature engineering.
  • Familiarity with SQL and database systems.
  • Experience with big data technologies (e.g., Big Query, Snowflake, Spark).

Qualifications:
  • Bachelor's or Master's Degree in Computer Science, Machine Learning, Data Science, or related field.
  • 3-5 years of relevant experience in AI/ML development and deployment.

#LI-AM1
Thrive at BlackLine Because You Are Joining:
  • A technology-based company with a sense of adventure and a vision for the future. Every door at BlackLine is open. Just bring your brains, your problem-solving skills, and be part of a winning team at the world's most trusted name in Finance Automation!
  • A culture that is kind, open, and accepting. It's a place where people can embrace what makes them unique, and the mix of cultural backgrounds and varying interests cultivates diverse thought and perspectives.
  • A culture where BlackLiner's continued growth and learning is empowered. BlackLine offers a wide variety of professional development seminars and inclusive affinity groups to celebrate and support our diversity.

BlackLine is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, race, ethnicity, age, religious creed, national origin, physical or mental disability, ancestry, color, marital status, sexual orientation, military or veteran status, status as a victim of domestic violence, sexual assault or stalking, medical condition, genetic information, or any other protected class or category recognized by applicable equal employment opportunity or other similar laws.
BlackLine recognizes that the ways we work and the workplace itself have shifted. We innovate in a workplace that optimizes a combination of virtual and in-person interactions to maximize collaboration and nurture our culture. Candidates who live within a reasonable commute to one of our offices will work in the office at least 2 days a week.

Top Skills

AWS
Azure
Big Query
Docker
GCP
Kubernetes
Python
PyTorch
Scikit-Learn
Snowflake
Spark
SQL
TensorFlow

BlackLine Singapore Office

BlackLine Singapore Office

Singapore, 038987

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