Data Scientist
Incedo
- Chennai, Tamil Nadu
- Permanent
- Full-time
from our six offices across US, Mexico and India. We help our clients achieve competitive advantage through
end-to-end digital transformation. Our uniqueness lies in bringing together strong engineering, data science, and
design capabilities coupled with deep domain understanding. We combine services and products to maximize
business impact for our clients in telecom, Banking, Wealth Management, product engineering and life science
& healthcare industries.
Working at Incedo will provide you an opportunity to work with industry leading client organizations, deep
technology and domain experts, and global teams. Incedo University, our learning platform, provides ample
learning opportunities starting with a structured onboarding program and carrying throughout various stages of
your career. A variety of fun activities is also an integral part of our friendly work environment. Our flexible
career paths allow you to grow into a program manager, a technical architect or a domain expert based on your
skills and interests.
Our Mission is to enable our clients to maximize business impact from technology by
- Harnessing the transformational impact of emerging technologies
- Bridging the gap between business and technology
As a Senior ML Engineer / ML Ops - GCP Specialist at Incedo, you will be responsible for building and deploying machine learning models in production environments. You will work with data scientists, data engineers, and software developers to design and implement machine learning pipelines. You will be skilled in programming languages such as Python or Java and have experience in ML tools such as TensorFlow or PyTorch. You will be responsible for ensuring that models are scalable, efficient, and can be deployed in production environments.Roles & Responsibilities:
- Designing and developing machine learning (ML) models and algorithms
- Implementing and maintaining ML pipelines and workflows
- Collaborating with data scientists and analysts to deploy and monitor ML models
- Developing and implementing ML deployment and monitoring strategies
- Providing guidance and mentorship to junior ML engineers
- Troubleshooting and resolving ML platform issues
- Proficiency in programming languages such as Python, Java, or Scala.
- Understanding of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning.
- Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Knowledge of cloud computing and containerization technologies such as Docker, Kubernetes, or AWS.
- Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner.
- Must understand the company's long-term vision and align with it.
- Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team.
- 4-6 years of work experience in relevant field
- B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred