Chandigarh, Chandigarh, India
Information Technology
Full-Time
Infinite Computer Solutions
Overview
32840BR
Bangalore - Campus
Job Description
Key Areas of Responsibility
BE
Range of Year Experience-Min Year
4
Range of Year Experience-Max Year
6
Bangalore - Campus
Job Description
Key Areas of Responsibility
- Participate in design discussions about the technical implementation and consider the tradeoffs to support business value, scalability and delivery timeline.
- Collect, clean, and preprocess large datasets for training and evaluation. Perform exploratory data analysis to gain insights and inform feature engineering.
- Train machine learning models using various techniques such as supervised, unsupervised, and reinforcement learning. Evaluate model performance using appropriate metrics and iterate on model design as needed.
- Integrate models and GenAI services with existing software infrastructure and workflows.
- Optimize the performance of machine learning models and algorithms, considering factors such as speed, accuracy, memory usage, and scalability.
- Collaborate with cross-functional teams including Model Discovery Team, DxP, IDP, Horizontal/Vertical Solutions Team(s), Infrastructure Teams etc.,
- Stay updated with the latest advancements in machine learning research and technologies. Experiment with new algorithms, frameworks, and tools to improve model performance and enhance capabilities.
- Document code, algorithms, and methodologies to facilitate knowledge sharing and maintain codebase integrity. Contribute to peer/code review, internal knowledge repositories and participate in knowledge-sharing sessions to disseminate best practices and lessons learned.
- Skill required:
- Strong communication, collaboration and problem solving skills with a track record of delivering production grade systems in a team environment
- Motivated individual who learns quickly, has pride in building a new product and can engage others to accelerate technical solutions
- 2+ years of experience in AI & ML, Python and working with agile scrum methodologies.
- Strong DL for cases like image/audio/text classification.
- Strong NLP (LLM) knowledge on entity extraction. Multi-lingual LM and multi-modal LM experience are extremely preferred.
- Hands on experience on GenAI (LLM), and experts on prompt engineering.
- Machine learning pipeline knowledge and hands-on experience on Kubeflow or MLflow frameworks. This is highly desirable but not required.
- Experience in MLOps, Cloud, Python, Kubernetes, Workflows, MongoDB, PostGresDB
- Experience with relational and non-relational databases (Postgres, MongoDB, GraphDB, VectorDB)
- 1+ year of experience with Google Cloud Platform, AWS or Azure
- Experience with agile tools such as Atlassian JIRA, Rally, TFS or Version One
- Experience of CI/CD tools (like Gitlab, Jenkins, git), Docker, Linux Shell scripting.
BE
Range of Year Experience-Min Year
4
Range of Year Experience-Max Year
6
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