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The emergence of major disruptive technologies like artificial intelligence, big data, computer vision, and many more have introduced some lucrative machine learning jobs for aspiring machine learning engineers, machine learning specialists, and more. Almost every industry today relies on technology to operate and thrive, which is why artificial intelligence (AI) and machine learning (ML) is becoming more integral to helping businesses make smarter and faster decisions and products. Many companies have started posting machine learning jobs in December to apply as soon as possible. There is tough competition in the recruitment process due to its high demand. Thus, let's go through some of the top machine learning jobs to apply for in December 2021 with Analytics Insight.
Location: Noida, Uttar Pradesh
Responsibilities:
Executed ML projects in various roles as Architect and Developer. Proven track for creating business cases and scenarios for Product enhancement and evolution. Design Competitive AI/ML Services and user experience for next-generation Products. AI/ML solutions in SaaS or sSubscription pProducts. Knowledge of BI Tools with hands-on implementation will be an added advantage. It is one of the best machine learning jobs to apply for in December 2021.
Location: Bangalore Urban, Karnataka
Responsibilities:
You will be working with Product Managers and ML Engineers to design and deliver ML models and capabilities for our voice-bot offering, VIVA. A regular roster for the role looks like the following:
Location: Gurgaon, Haryana
Responsibilities:
The individual in this role will be responsible for overlaying sales and marketing strategy needs with analytics and machine learning workstreams and leveraging technology expertise to architect and develop enterprise big data platforms and applications. This individual will work closely with partners across teams like commercial sales and marketing, analytics and machine learning, American Express Technology, external vendors, and others. It is one of the best machine learning jobs to apply for in December 2021.
Location: India (Remote)
Responsibilities:
Understand the business objective, problem statement. Define the datasets required for the model. Mine and analyze data, Assess the effectiveness and accuracy of data sources and data gathering techniques. Develop custom or advise the usage of AWS SageMaker built-in models and algorithms to apply to data sets. Understand and able to implement AWS AI services and integrated architecture for specific customer use cases.
Location: Bengaluru, Karnataka
Responsibilities:
The position involves working closely with Product Management for the design, development, debugging, effort estimation, and maintenance of Statistical and Machine Learning models that power various features in AdCloud. Work closely with AdCloud engineering team in building cCloud nNative pipelines taking the sStatistical and ML models through the entire lifecycle improving on usability, explain-ability, and performance.
Location: Bengaluru, Karnataka
Responsibilities:
As a Machine Learning Engineer, you will help solve a variety of technical challenges and mentor other engineers. You will play an active role in translating business and functional requirements into concrete deliverables and build quick prototypes or proofs of concept in partnership with other technology leaders within the team. You will help invent new features, develop and deploy highly scalable and reliable distributed services. You will work with a variety of core languages and technologies including, Linux, and AWS technologies. It is one of the best machine learning jobs to apply for in December 2021.
Location: India (Remote)
Responsibilities:
Work on end-to-end aspects of machine learning solutions for the financial domain: acquiring data, training and building models, deploying models, building API services for exposing these models, maintaining them in production.
Location: Bengaluru, Karnataka
Responsibilities:
Lead engineering team design and development of Artificial Intelligence powered software products, decoupled, modularized, reusable, and scalable training and inference pipelines. Work closely with Product Managers and architects to develop requirements for intelligent components. Deliver and own intelligent applications fully tested, scalable, desired interfaces for data pipelines, systems integration, and model training. Hands-on developers demonstrate thru examples, solving complex problems, developing algorithms. Guide and coachcoach, aArtificial Iintelligence/mMachine lLearning engineering team in design, coding, automation, and DevOps.
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