Mindtree | Machine Learning | Hybrid – Bhagya Nagar | Bharat | BigDataKB.com | 2023-02-21

Roles and Responsibilities

Role Description:

• Need Azure Engineer who is passionate in research and provides solutions on Azure services.
• Should have good programming logic and problem-solving skills.
• Respond and analyze complex queries of technical and functional nature not in routine and require deviation from standard procedures.

Responsibilities:

• Engaging directly with Azure developers and IT professionals in forums to answer technical questions and help solve technical problems.
• Solve highly complex problems, involving broad, in-depth product knowledge or in-depth product specialty; may include support of additional product line.
• Develop code samples, quick-start and how-to guides helping customers understand complex cloud scenarios.
• Providing prompt, efficient, detailed, customer-oriented service to customers and developers.
• Adapt response and extensive research as per customer response.
• candidate should demonstrate great accountability, customer obsession and technical leadership.
• Good team spirit and good oral/written communication skills in English.
• Actively seeking solutions to customer needs, communicating trends to leadership, and suggesting innovative solutions.
• Improving internal efficiency and customer happiness by actively finding opportunities to optimize existing or new processes and tools.

Required Technical Skills:

• Research and implement appropriate machine learning algorithms and tools.
• Need to have strong hands-on experience on Python, .Net, JavaScript.
• Need to have strong experience in azure cognitive services.
• Must be capable of working on developing custom cognitive services and bot services.
• Experienced in deploying bot composers in web applications.
• Must possess excellent analytical skills in requirements elicitation.
• Study and transform data science prototypes.
• Select appropriate datasets and data representation methods.
• Develop machine learning and deep learning applications according to the requirements.
• Understanding of data structures, data modelling and software architectures.
• Familiar with machine learning frameworks like Keras, TensoFlow, PyTorch and libraries like Scikit-learn.
• Ability to write robust code in Python, Java and R

Additional skills:

• Act as a technical escalation point within the team. Participate in case triage meetings to share knowledge with other engineers and develop efficient customer solutions. Consistently share best practices with team members and help create a knowledge base article to solve/workaround that issue.

Required Soft Skills:

• Good communication and presentation abilities along with excellent Problem-Solving skills
• Ability to build good relationships with clients/operational managers and colleagues.
• Good knowledge of quality standards, legislation, and best practice
• Ability to adapt and prioritize. Ability to gather and assimilate information.

Ability to think ahead and anticipate problems, issues, and solutions. Work under pressure and meet deadlines.