Equipo Business Solutions Private Limited | Hiring | AI Engineer | BigDataKB.com | 1/13/2022

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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

Apply Here

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