Equipo Business Solutions Private Limited
Thiruvananthapuram
The ideal candidate should have sound knowledge in machine learning with proven ability to build and deploy AI models from scratch.
RESPONSIBILITIES
· Apply advanced machine learning, deep learning and NLP/NLU techniques to build cutting edge AI applications
· Write production-ready code in Python, applying coding and OOP best practices
· Develop and deliver software using Python and various AI related libraries, support continuous integration and continuous deployment of the micro-services. Use containerization, orchestration, DevOps for faster delivery and easier maintenance
· Define and implement evaluation strategies for each required functionality, demonstrate applicability and performance of the delivered application, and communicate clearly on its limits
· Ability to efficiently work in a team.
REQUIRED EXPERIENCE AND SKILLS
· Expert in Python programming
· Experience in at least 2 of the following areas:
o Data wrangling with hands on experience of Pandas, NumPy and SciPy libraries.
o Machine Learning – deep learning, online learning, transfer learning, reinforcement learning, structured/unstructured learning with hands on experience of Tensorflow, PyTorch or SciKit-Learn.
o Natural language processing, understanding and/or generation (topic modelling, word embeddings, Semantic Ontology etc.)
o OCR and document processing, data extraction
· Scientific approach, with the ability to propose pragmatical, robust and reliable ways to evaluate deliverables and interpret results
· Experience with micro-services architecture and message brokers
· Prior working experience with Docker and Kubernetes is a plus.
· Excellent communication and team collaboration skills.
· Flexibility and adaptability to work in a growing dynamic team in a highly visible role.
Expected Start Date: 15/2/2022
Job Type: Full-time
Salary: ₹30,000.00 – ₹100,000.00 per month
Schedule:
- Day shift
Education:
- Bachelor’s (Preferred)
Experience:
- total work: 1 year (Preferred)
Work Remotely:
- Temporarily due to COVID-19
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