Ai Ml Engineers Job in Rapidops
Job Title: AI/ML Engineer
Location: Ahmedabad, India
Job Type: Full-time
Job Overview:
As a progressive company deeply invested in artificial intelligence, we hold innovation as a guiding principle. In line with our commitment to advancing this domain, we're searching for a seasoned Machine Learning Engineer to refine our existing systems and architect new AI models. This role will involve a rich blend of tasks, including collaborating intensively with stakeholders and domain specialists to help develop AI models capable of tackling intricate business problems.
Key Responsibilities:
Collaborate with Cross-functional Teams:
- Work closely with domain experts, data scientists, and software engineers to develop and implement machine learning models and algorithms that solve business problems.
Data Analysis and Insights:
- Analyze large, complex datasets to extract actionable insights, identify patterns, and improve the performance of machine learning models.
ML Pipeline Development:
- Develop and maintain end-to-end machine learning pipelines, including data preprocessing, feature extraction, model training, and evaluation.
Model Deployment and Monitoring:
- Deploy machine learning models into production environments, monitor their performance, and ensure their continued effectiveness.
Stay Current with Advancements:
- Keep up to date with the latest industry advancements in machine learning and artificial intelligence. Apply relevant techniques and technologies to continuously improve existing models and systems.
Contribute to Best Practices:
- Contribute to the development of best practices, guidelines, and standards for machine learning engineering within the organization.
Write Clean Code:
- Maintain high-quality, maintainable, and efficient code that adheres to industry best practices.
Required Qualifications:
Education:
- Tertiary degree in Computer Science, Software Engineering, or a related field, with a focus on machine learning or artificial intelligence.
Experience:
- 3+ years of experience as a Machine Learning Engineer or in a similar role.
Programming Skills:
- Advanced skills in programming languages such as Python, Rust, and related frameworks.
Machine Learning Frameworks:
- Hands-on experience with machine learning frameworks such as PyTorch and libraries like NumPy, Pandas, or Keras.
Problem-Solving:
- Excellent problem-solving and analytical skills, with the ability to approach complex challenges with a clear and effective strategy.
Collaboration and Communication:
- Strong communication and collaboration abilities, with the capacity to work well in cross-functional teams.
Independence:
- Ability to work independently when needed, demonstrating initiative and accountability.
Preferred Qualifications:
Microservices and Containerization:
- Experience with microservices architecture, Docker, Kubernetes, and Linux.
Big Data Tools:
- Experience with big data processing tools (e.g., Hadoop, Spark) and data storage systems (e.g., SQL, NoSQL).
Technical Design Skills:
- Demonstrated technical design, problem-solving, coding, and debugging skills.
Distributed Systems:
- Experience with distributed systems design and implementation.
Why Join Us?
- Innovation: Be part of a team that is shaping the future of artificial intelligence.
- Career Growth: Continuous learning and growth opportunities in the AI/ML domain.
- Impact: Work on real-world projects that drive meaningful business outcomes.
- Dynamic Environment: Thrive in a fast-paced, innovative environment that encourages creativity and collaboration.
If you are passionate about AI/ML, have the skills to develop cutting-edge solutions, and are eager to work with a talented team, we d love to have you onboard at Rapidops!
Qualification : Tertiary degree in Computer Science, Software Engineering, or a related field, with a focus on machine learning or artificial intelligence.

