Several talented tech professionals are aiming for AI jobs in top tech companies, here are 10 such AI jobs 

Artificial intelligence, machine learning, and data science are the most popular fields for job search among the current tech-savvy generation. Digital transformation and the advent of the coronavirus pandemic have unlocked immense opportunities for AI/ML to enhance workflow with appropriate business insights. 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 tech companies. Are you also looking for AI jobs at big tech companies? Then you are in the right place, this article features the top AI jobs in big tech companies to apply for in April 2022.

ML Engineer

UST 

Responsibilities:

• Executes relevant data wrangling activities related to the problem to create dataset
• Conduct ML experiments to understand the feasibility and build baseline models to solve the business problem
• Fine-tune the baseline model for optimum performance
• Test Models internally as per acceptance criteria from business
• Document relevant facts for communicating with the business
• Work with data scientists to deploy the models.
• Work with product teams in planning and execution of new product releases

Click here to apply 

Data Scientist

Walmart Global Tech India  

Responsibilities:

• Play a key role to solve complex problems, pivotal to Walmart's business, and drive actionable insights from petabytes of data
• Utilize product mindset to build, scale and deploy holistic data science products after successful prototyping
• Demonstrate incremental solution approach with agile and flexible ability to overcome practical problems
• Lead small teams and participate in data science project teams by serving as the technical lead for the project
• Partner with senior team members to assess customer needs and define business questions
• Articulate and present recommendations to business partners, and influence plans based on insights

Click here to apply 

AI Engineer

Xerox Kochi, Kerala

Responsibilities:

• Responsible for functions, activities, and skills required for analysis, design, coding, integration, test & maintenance of Intelligent Document Processing modules, subsystems, or systems
• Build NLP based solutions for query and document analysis, processing, and understanding
• Conduct research to advance the state-of-the-art Deep learning and NLP technologies

Click here to apply 

Research Engineer

IBM Delhi

Responsibilities:

• Participate in discussion with a large-sized project team spread across global labs of IBM.
• Implement the problem solutions and conduct fast experimentation with a large-sized dataset in a multi-GPU cluster environment, build demos for the technology.
• Participate in activities related to publishing at top venues like NeurIPS, ICML, AAAI, IJCAI, ACL, EMNLP, KDD, ICCV, CVPR, etc.
• Participate enthusiastically in patent filing activities.

Click here to apply 

AI NLP Engineer

E42.ai 

Responsibilities:

• NLP, AI feature development for the No Code platform
• Evaluate and Design NLP applications
• Select appropriate annotated datasets for Supervised Learning methods
• Use effective text representations to transform natural language into useful features
• Find and implement the right algorithms and tools for NLP tasks

Click here to apply 

AI ML Engineer

Tata Consultancy Services Delhi

Responsibilities:

• Candidates must be able to independently develop and optimize machine learning algorithms, classification, and prediction engines and integrate the same with traditional large complex solutions and codebases.
• Candidates are expected to work on various phases of AI, ML, and data science workflows by coordinating with data scientists, architects, business analysts, and other application developers and testers.

Click here to apply 

Test Engineer – AIML

Dell Technologies Greater Nashik Area

Responsibilities:

• Manage daily execution of test plans including the guidance of Data Scientists.
• Design, and implement python-based inference scripts for generating model predictions.
• Maintain inference scripts and test data sets to ensure they are providing useful and timely test results.
• Ideate and work with Data Scientists to transform your new ideas into reality.
• Timely completion of deliverables as communicated by Data Scientists.
• UI prototype development – Angular

Click here to apply 

AI ML Developer

EY Bengaluru, Karnataka,

Responsibilities:

• Develop machine learning and deep learning applications according to requirements
• Ability to write robust code in Python
• Perform statistical analysis and fine-tuning using test results
• Select appropriate datasets and data representation
• Optimizing the algorithms

Click here to apply 

Machine Learning Engineer

Walmart Global Tech India 

Responsibilities:

• Work closely with data engineers and data analysts to help build ML- and statistics-driven data quality and continuous data monitoring workflows 
• Solve business problems by scaling advanced Machine Learning algorithms and complex statistical models on large volumes of data 
• Own the MLOps lifecycle, from data monitoring to refactoring data science code to building robust model monitoring workflows for model lifecycle management 
• Demonstrate strong thought-leadership and consult with product and business stakeholders to build, scale and deploy holistic machine learning solutions after successful prototyping. 

Click here to apply 

Machine Learning Engineer

Oracle 

Responsibilities:

• Experience as a Machine Learning Engineer
• Knowledge of statistics, and ML algorithms
• Ability to play with data and understand the challenges in data acquisition.
• Understand the model journey from Notebook to Deployment

Click here to apply