Apply Now!!! Top AI Jobs in MNCs to Apply for in February 2022

For those searching for tech job openings in top MNCs, here is a list of the top AI jobs in MNCs to apply now 

Machine learning, artificial intelligence, and data science have overtaken the industrial landscape rapidly. These technologies are concerned with computer algorithms to improve business efficiency and customer experiences. AI and ML involve developing programs that deal with data and then use the extracted information for themselves. As the need for innovative solutions is increasing to tackle various issues, so is the need for skilled AI professionals. Several talented tech professionals are aiming for jobs in top companies. For those searching for AI job openings in top MNCs, here is a list of the top AI jobs in MNCs to apply in February 2022.  

Machine Learning developer

Wipro

Hyderabad, Telangana

Requirements:

• Strong experience in the development of Computer Vision-based projects 
• Strong track record of solution development from scratch Solid hands-on experience as Python Developer 
• Experience in using/customizing cloud providers AI/ML services 
• Papers in high tier conferences/journals 
• Experience of Image Classification, Semantic Segmentation, Instance Segmentation, Image retrieval, Image generation, etc using deep learning & pattern matching techniques
• Hands-on experience using ML frameworks like Tensorflow, PyTorch, MxNET, Caffe, and Keras Experience to develop & deploy production-grade ML/DL models
• Strong track record of customer engagements and requirement creation
• Should have created/worked on data labeling tools, frameworks, and strategies
• Experience with ML/DL topologies like GraphML, GANs, Transformers, etc
• Knowledge of Inference optimizations of ML/DL using MKL-DNN, OpenVINO, ONNX, TesnorRT, Apache TVM.

Machine Learning Engineer 

Amazon

Responsibilities

• Design and deliver big data architectures for experimental and production system
• Develop machine learning workflows and integrate with DDB & User interface
• Develop and maintain datasets in AWS DynamoDB & AWS S3
• Leverage EMR to preprocess, cleanse and transform the large volume of data sets
• Orchestrate step-functions using python
• Optimize large scale data extraction pipelines to enhance user experience
• Collaborate with Data Scientists, Product Managers, Software engineers, and ISS Senior leadership and work towards achieving the organization's goals

• Experience with scalable model training leveraging big data platform
• Experience with ML libraries/frameworks such as Tensorflow, AWS Sagemaker, Keras, etc.
• Experience developing and supporting machine learning production system
• Experience with at least one massively parallel processing data technology such as Spark or Hadoop based big data solution
• Experience in building highly available distributed systems of data extraction, ingestion, and processing of large data sets
• Excellent stakeholder management and proven communication skills with both business and technical teams

Data Science for AI/Advance Analytic-ITO033557

Genpact

• Recommends and implements analytics-enabled solutions to improve business processes, to generate insights support business goals and strategy development
• Owns and delivers complete projects of moderate scope and runs work you're leading on more sophisticated projects.
• Works on problems of moderate scope/complexity where analysis of situations or data requires a review of a variety of factors
• Ability to generate relevant, meaningful insights based on iterative data analysis, translate the data-driven output into business language, and make appropriate recommendations to respective business partner
• Communicates results of cases of moderate complexity to business partners and recommends solutions to more senior data scientists.
• Fundamental understanding of the business and begins to ask the right questions.

Requirements

• Knowledge of programming languages e.g. Visual Basic, VBA, and SQL
• You will have an opportunity to work with business people to have a real-time understanding of business problems and craft the solution which fits into customer needs.
• Basic understanding of networks that are needed to implement the tools and automation on the ground.
• Preferred Skills
• Relevant work experience, preferably in Commercial Insurance/Finance & Accounting domain.
• Proficient in MS Office applications, especially in MS excel.

AI/ ML / Hyper automation Architect

Tata Consultancy Services

India

Responsibilities:

To work with customers and account teams to identify hyper-automation opportunities in Enterprise Business Process landscapes and design end-to-end solution architecture for automation of the processes. Research and propose appropriate ML algorithms and tools, RPA, and other hyper-automation solutions, select appropriate datasets and data representation methods for modeling the automation of the business process.

• Ability to work in a team and be self-motivated.
• Outstanding analytical and problem-solving skills
• Good communication and presentation skills

Artificial Intelligence Engineer

Requirements:

• AI / NLP domain experience would be highly appreciated.
• Very good understanding of JavaScript and Node.js/Java
• Hands-on experience in Node.JS / Express.JS / Hapi.js / Koa.js (or any other Web Framework), NoSQL DBs and Relational Database (preferably MySQL / PostgreSQL)
• Hands-on experience in Jest or other Javascript testing frameworks
• Strong understanding of systems using real-time interactions (web sockets, long-polling, server-sent events)
• Design and implementation of low-latency, high-availability, and performance applications.

AI Engineer

IBM

Bengaluru, Karnataka

Responsibilities: 

• Plan out a development roadmap for the enterprise development team and provide relevant insights to the product owners on insight about the Algorithm, industry practices, and research papers.
• Acting as an AI/ML subject matter expert with regards to business needs and application design-related activities which includes configuration and design reviews within a project team
• Drive effective project delivery and coordination, through a highly collaborative approach.
• As an Engineer you are required to Develop, Host, Tune the AI models, Manage the infrastructure needs and Design the solution considering all possible trade-offs

• Experience in building AI models using libraries such as Keras, Tensorflow, or PyTorch
• Designing, developing, implementing, and monitoring AI systems. Maintaining the infrastructure for AI applications.
• Exposure to various Python packages, NLP, NLTK, Pytorch / TensorFlow, and Model building and implementation.
• Experience in developing Conversational technologies, such as FAQ generation, Chatbots
• A fair understanding of descriptive analysis, SWOT analysis, and data analysis using any standard tool (Excel, R, Python, SPSS, SaaS Cognos), and the ability to extract business insight from data.
• Experience in deploying AI workloads at scale – microservices, load balancing, responsive data pipeline.
• Experience in Cloud technologies and ML/AI APIs is a bonus
• The candidate should have a good grasp of probability and statistical concepts.
• Preferred: Coming from a background of applied research

AI Manager 

Capgemini

• Development skills on Azure, Azure DevOps, Azure PaaS
• Node JS experience, Azure BOTS experience is added advantage
• Expected to manage a small team with Dev Support and Maintenance of the Azure BOT Platform as KPI

Primary Skills

• Azure DevOps developer, Azure PaaS
• Node JS experience

Secondary Skills

• DevOps Support and Maintenance
• Azure BOTS