Location
Secunderabad | India
Job description
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
Learn more about Omniskope at
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 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
Omniskope Inc is an Equal Employment Opportunity employer. This organization participates in E-Verify and conducts pre-employment criminal history background checks. Omniskope Inc. is committed to employing a diverse workforce.
Job tags
Salary