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AI and ML Associate Engineer

Opportunities for AI and ML Associate Engineer in Computer Software industry and AI and ML domain having experience 0 to 2 Years.

Employment type :
Qualification Desired: Graduate
Numbers of positions : 1
Job Location : ,
Updated Date : 01, January 1970
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Job Description

An Artificial Intelligence engineer develops intelligent algorithms that help us learn, analyze, and anticipate future events. AI developers are responsible for creating machines with reasoning abilities similar to the human brain.
An AI engineer is exclusively skilled in engineering and computer science and builds machines and software programs that can learn and analyze for themselves. AI specialists use AI principles to direct steadfast business pain points, increase the ability of technical and human resources, execute alternative management/transformation processes, etc. They use emerging technologies, like ML and NLP, to determine business obstacles and deliver comprehensive insights with accuracy.

Responsibilities:
- Understand the company’s goals and challenges and plan AI strategies
- Conduct research and development processes for AI strategies
- Collaborate with cross-functional teams to identify areas where AI application can stimulate business growth
- Develop an efficient prototype
- Perform recurring jobs, like AI strategy assessment, automation market, etc.
- Perform tests and troubleshoot issues before final delivery
- Stay up-to-date on the latest AI emergences relevant to the business domain

Qualifications/Skills needed::
- Bachelor’s/Master’s degree in computer science, computer engineering, or relevant field
- Any experience in formulating and strategizing AI solutions
- Any experience in applying AI to practical and all-inclusive technology solutions
- Hands-on knowledge in machine learning, deep learning, Tensorflow, Python, NLP
- Understanding of functional design principles, object-oriented programming principles, basic algorithms
- Expertise in REST API development, NoSQL design, RDBMS design


Technical Skills
Must to have ::
Python Big Data Analysis & SQL Analytical skills Machine Learning Mathematics Linear Algebra
Good to have ::
Java Scala Data Science-Statistics Software Engineering RESTful APIs  Service-oriented architecture/web services (SOAP/REST) Deep Learning Neural Network Knowledge for building AI Systems Hadoop MongoDB Power BI Power BI dashboards Reports
Nice to have ::
linear discriminant analysis Naïve Bayes AI Model Gensim word2vec Sentimental Analysis in NLP Hidden Markov Natural Language Toolkit NLTK Summarization in NLP Cassandra Apache Spark
Soft Skills
Good to have ::
Critical thinking Written and verbal communication Collaboration Logical thinking Problem-solving
Leadership / Strategic Skills
Good to have ::
Ideation Change Management
Value Creation / Scalability Skills
Nice to have ::
Solutions developed Multi Domain Exposure Software Platform Development

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