Job alert: These AI jobs can boost your career to heights
Artificial intelligence or AI jobs has exponentially grown over these days with a lot of demand in the market.
And so, the students are also keen on pursuing careers in AI. If you are one of the graduates, graduated and looking for AI jobs in India then, this article is for you. This article lists down top AI jobs in India for freshers. Read to know more and apply to these jobs.
Top AI Jobs in India for Freshers
AI and ML Engineer at AKS ProTalent
Location: Bengaluru, Karnataka
Responsibilities:
- Study data science prototypes
- Design, research, develop and implement ML algorithms
- Run machine learning tests and experiments
- Train and retrain systems when necessary
- Keep abreast of developments in the field.
Requirements:
- Bachelor’s or Master’s in the related domain
- Proven experience as an AI/ML engineer
- Command over maths, statistics, probability and algorithms
- Ability to work in a team
- Outstanding analytical and problem-solving skills.
AI Engineer at IBM
Location: Bengaluru, Karnataka
Responsibilities:
- Plan out a development roadmap for the enterprise development team and provide relevant insights to product owners on insight about the algorithms, industry practises and research papers
- Acting as an AI/ML subject matter expert with business knowledge
- Drive effective project delivery and coordination through a highly collaborative approach
- Drive effective project delivery and coordination
- Develop, host, tune the AI models.
Requirements:
- Experience in building AI models using libraries such as Tensorflow, Keras, and PyTorch
- Designing, developing, implementing, and monitoring AI systems.
- Experience with Python packages such as NLP, NLTK, Pytorch, and others.
- Exposure to IBM Watson is added advantage
- Experience in cloud technologies and ML/AI and APIs is a bonus.
AI Developer at ANI Calls India Pvt Ltd
Location: Chennai, Tamil Nadu
Responsibilities:
- Optimise the design practises for building AI/ML models
- Operationalize data centre failover processes for interface engines
- Integrate with corporate security systems such as SOC and NOC for altering
- Define the best deployment methods
- Support models built-in Python and R
- Support data science team with any data movement, transformation, and analysis.
Requirements:
- Experience with programming in the R language
- Understanding of AI and ML
- Experience with Hadoop
- Experience in deploying and managing containers
- Experience in programming with Python.
AI Engineer at Gridlogic
Location: Hyderabad, Telangana
Responsibilities:
- Understand the business problem, challenge of existing technologies and areas of application for AI technologies
- Identify and choose right AI or cognitive computing technologies for solving problems and to formulate AI recipes
- Develop required ML models
- Involve in development of AI platform
- Deploy AI models into production
- Work with team of developers and testers in a highly agile environment to produce high quality software.
Requirements:
- Experience in building API driven interface development
- Demonstrate proficiency in multiple programming languages with a strong foundation in statical platforms
- Experience in building AI models
- Experience of developing tools using AI, machine learning and deep learning
- Demonstrated commitment to learning about AI through your own initiative through books, courses and side projects.
AI and ML Engineer
Location: Kolkata, West Bengal
Responsibilities:
- Responsible for designing and developing machine learning and deep learning systems
- Implementing appropriate machine learning tests and algorithms
- Create new necessary documents defining requirements
- Create new ML libraries and extend the existing frameworks
- Perform unit testing, peer testing and code reviews as per prescribed standards
- Researches and evaluates a variety of software products for project usage.
Requirements:
- Tech/MTech/MCA could be considered
- Understanding of data structures, data modelling and predictive modelling with R
- Ability to write robust code in Python and R
- Behavioural skills
- Problem solving skills.
Source: analyticsinsight.net
