AI ML Engineer

4 weeks ago

Bhubaneswar, India Data Safeguard Inc. Full time

Company Overview:


Data Safeguard is an esteemed leader in protecting clients' sensitive data, specializing in delivering advanced data privacy and synthetic fraud solutions. Trusted by top-tier organizations across various industries, we ensure compliance with data privacy regulations and mitigate financial risks associated with synthetic fraud. With a commitment to trust, reliability, and quality, Data Safeguard continues to innovate and lead in the field.


Location: Bhubaneswar, Odisha (Work From Office Only)


Data Safeguard is seeking an experienced AI/ML Engineer to join our dynamic development team. As a key contributor, you will play a vital role in advancing our suite of products, leveraging your expertise in machine learning to develop and implement cutting-edge solutions. This position offers an exciting opportunity to apply your knowledge in a practical setting, collaborate with talented professionals, and make a significant impact in the realm of data privacy and fraud prevention.


Responsibilities:

- Design, develop, and deploy scalable backend systems using Python and related technologies.

- Collaborate with data scientists and machine learning engineers to integrate AI/ML models into production systems.

- Optimize backend infrastructure for performance, scalability, and reliability.

- Implement data pipelines and ETL processes to ingest, preprocess, and analyze large volumes of data.

- Work closely with cross-functional teams to understand requirements and deliver innovative solutions.

- Stay up-to-date with the latest trends and technologies in AI/ML, data engineering, and backend development.


Qualifications:

- Bachelor's degree in Computer Science, Engineering, or a related field.

- Strong proficiency in Python programming and experience with backend frameworks such as Django, Flask, or FastAPI.

- Solid understanding of AI/ML concepts and experience with libraries such as TensorFlow, PyTorch, or scikit-learn.

- Experience with data storage and processing technologies such as SQL, NoSQL, and distributed computing frameworks.

- Familiarity with containerization and orchestration tools like Docker and Kubernetes.

- Excellent problem-solving skills and a proactive mindset.

- Strong communication and collaboration skills.


Benefits:


  • Maximized benefits.
  • Competitive Pay.
  • Paid Time Off.
  • Opportunity to work with a global team and clientele.
  • Opportunity to potentially work in the United States headquarters.
  • Work with cutting edge products and technologies.


Data Safeguard is an equal opportunity employer committed to fostering an inclusive and diverse workplace. We encourage individuals of all backgrounds to apply, as we believe in evaluating candidates based on merit, competence, and alignment with our business needs.

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