Omniskope - Artificial Intelligence/Machine Learning Engineer - Google Cloud Platform
2 months ago
About the job :
- At Omniskope, Our Mission is to accelerate digital transformation, keeping people at the forefront of what we do and doing it well by doing good.
- Our people are our employees, our customers, and the communities around us.
- We are a growing company headquartered in Saint Louis, USA, expanding our Salesforce team in India.
- We partnered with industry leaders like Salesforce.com, Google, and Oracle to enhance customer business experiences.
- Our expert services have made us a trusted technology partner to industry leaders across the United States.
- Omniskope is an excellent fit if you like small teams, are part of an initial growth team, and believe in impacting our customers, people, and communities.
- There is ample opportunity for growth within the company, whether a trip to our HQ or applying for our open jobs in the USA, or just being closer to home and having flexible working hours.
- Ask us about the growth opportunities with us.
- To simplify, We wanted to be your Platform for Success and make your dreams come true.
Our Values :
- Customer Success & Excellence.
- Own & Inspire
- Never stop learning
- Collaborate & Communicate
- Empathic & People-First
- Be a Multiplier
- Foster Equality
- Have fun
Job Summary :
We are seeking a highly skilled and motivated AI/ML Developer with significant experience in Google Cloud Platform (GCP) to join our dynamic team.
The ideal candidate will be responsible for designing, developing, and implementing cutting-edge machine learning and artificial intelligence solutions that align with our business objectives.
The candidate should have a strong background in GCP services and tools to leverage cloud-based capabilities for AI/ML projects.
Responsibilities :
- Design, implement, and optimize machine learning algorithms and models for diverse applications.
- Utilize Google Cloud Platform services and tools to build scalable and efficient AI/ML solutions, ensuring seamless integration with existing systems.
- Collaborate with data engineers to preprocess and clean large datasets for training and evaluation purposes.
- Train, fine-tune, and evaluate machine learning models, ensuring high performance and accuracy.
- Implement models into production environments using GCP deployment tools and best practices.
- Stay abreast of the latest advancements in AI/ML technologies and GCP services, and integrate new tools or methodologies to enhance existing solutions.
- Work closely with cross-functional teams, including data scientists, software engineers, and business stakeholders, to understand project requirements and deliver solutions that meet business objectives.
- Create detailed documentation for developed models, algorithms, and integration processes, ensuring knowledge transfer and future reference.
- Adhere to security and compliance standards while developing and deploying AI/ML solutions on the GCP platform.
- Implement monitoring and logging solutions to track the performance and health of deployed models.
Qualifications :
- Bachelor's/Master's or higher degree in Computer Science, Data Science, or a related field.
- Proven experience in developing and deploying machine learning models.
- Solid understanding of Google Cloud Platform, including services like AI Platform, BigQuery, Dataflow, and TensorFlow on GCP.
- Proficiency in programming languages such as Python and experience with machine learning libraries and frameworks.
- Strong problem-solving skills and the ability to work independently or collaboratively in a team.
- Excellent communication skills and the ability to explain complex technical concepts to non-technical stakeholders.
- Familiarity with agile development methodologies is a plus.
Certifications :
- Professional Machine Learning Engineer
- Professional Cloud Database Engineer
- Professional Cloud Developer
- Professional Data Engineer
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