by arti
February 24, 2022
There are some finest AI jobs at high tech firms ready so that you can apply and provides your profession a lift
Machine studying, synthetic intelligence, and information science are the most well-liked fields for job calls for among the many present tech-savvy technology. Digital transformation and the arrival of the coronavirus pandemic have unlocked immense alternatives for AI/ML to reinforce workflow with applicable enterprise insights. As the necessity for revolutionary options is rising to sort out varied points, so is the necessity for expert AI professionals. A number of gifted tech professionals are aiming for jobs in high tech firms. Are you additionally on the lookout for the most effective AI jobs at high tech firms? Then you might be in the fitting place, this text options the ten finest AI jobs in high tech firms to use in February 2022.
AI & Digital Analytics Consulting Supervisor
Firm: IBM
Location: New Delhi
Duties:
- Work intently with the deal groups and trade groups to form and answer Analytics & AI led applications, repeatedly have interaction with key consumer executives and share IBM answer particulars, successfully talk worth proposition on analytics-led insights and embed AI options in consumer processes.
- Personal end-to-end supply of, a) giant & advanced Analytics &AI led transformation applications, b) small and nimble enterprise insights initiatives to understand fast good points, c) work with IBM and Companions to carry the most effective instruments and supply strategies.
- Personal the choices and belongings on key parts of the Analytics & AI worth chain, together with understanding burning platform and trade tendencies, defining and framing hypotheses,
- Construct key partnerships with high instruments, platforms, and fintech.
- Be a thought chief on AI
Apply Here
ML Engineer
Firm: Amazon
Location: Bengaluru, Karnataka
Duties:
- Perceive inside clients’ enterprise wants and information them to an answer utilizing AWS AI Providers, AWS AI Platforms, AWS AI Frameworks, and AWS AI EC2 Situations.
- Help inside clients by having the ability to ship an ML / DL challenge from starting to finish, together with understanding the enterprise want, aggregating information, exploring information, designing ML pipelines, constructing scalable options utilizing ML companies, and deploying the finished options to ship enterprise impression to the group.
- Develop MLOps (Machine Studying Operations) workflows for information preparation, deployment, monitoring, and retraining.
- Enhance ML mannequin’s reproducibility, auditing, and efficiency capabilities.
Apply Here
AI Supervisor, Google Cloud, Supply Heart
Firm: Google
Location: Gurugram, Haryana
Duties:
- Work with clients to establish alternatives to use machine studying of their enterprise.
- Design and implement machine studying options for buyer use instances, leveraging core Google merchandise together with TensorFlow, DataFlow, and AI Platform.
- Handle and develop a workforce of consultants and engineers.
- Work with buyer technical leads, consumer executives, and companions to handle and ship profitable implementations of cloud options changing into a trusted advisor to decision-makers all through the engagement.
- Work together with gross sales, companions, and buyer technical stakeholders to handle challenge scope, priorities, deliverables, dangers/points, and timelines for profitable consumer outcomes. Work non-standard hours as wanted.
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Senior Principal AI Engineer
Firm: Intel
Location: Bengaluru, Karnataka
Duties:
- Growing machine studying algorithms, comparable to supervised and unsupervised studying, deep studying, reinforcement studying, Bayesian evaluation, in addition to neuromorphic and mind impressed strategies to resolve utilized issues in varied disciplines comparable to Cognitive Computing, Pc Imaginative and prescient, Audio, Pure Language Processing, Robotics, and so forth.
Word: This job code can solely be assigned if an worker has participated in an official Technical Management Program (TLp) nomination course of for his/her enterprise group.
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AI/ML – Knowledge Curation Engineer
Firm: Apple
Location: Hyderabad, Telangana
Duties:
- Drive and supervise a number of of the information curation efforts that gasoline the items in Siri’s expertise pipeline.
- Defining information curation specs in your language, reviewing and making certain information high quality, reporting accuracy metrics, and documenting conventions and processes.
- Lead failure evaluation workout routines aimed toward enhancing the standard of the end-to-end expertise for Siri customers in your market.
- Delivering hands-on information evaluation duties throughout the product’s stack, and triaging technical points.
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Senior Answer Architect – AI
Firm: NVIDIA
Location: New Delhi
Duties:
- As a Answer Architect working at NVIDIA, you’ll work intently with clients and channel companions within the North & East – establishing relationships, fixing issues, and serving to them construct profitable NVIDIA options.
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Machine Studying/ Synthetic Intelligence Engineer (AI/ML)
Firm: Tech Mahindra
Location: New Delhi
Duties:
- Work intently with the enterprise workforce to outline and architect the answer. This may embrace estimating the parts required to supply a complete AI answer that meets and exceeds expectations and delivers tangible enterprise worth
- The candidate is predicted to ship cognitive purposes that resolve/increase enterprise points utilizing main Conversational AI expertise frameworks
- Could must construct high-level chatbot structure with again finish integration, channel integration, Orchestration, high-level understanding of safety, chatbot platform understanding
- Evaluation and combine the technical structure necessities and handle integration with different parts
- Create options to ship suggestions on the consumer stage in real-time, transcoding enhancement, meta-information enchancment fashions
- Present enter into last choices concerning {hardware}, community merchandise, system software program, and safety
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AI/ML Engineer
Firm: HCL Applied sciences
Location: Noida, Uttar Pradesh
Expertise & Competencies:
- Candidates will need to have expertise in creating Machine studying, Textual content extraction, Picture processing.
- In-depth information of machine studying, textual content extraction, and picture processing methods.
- Expertise in creating machine studying, textual content extraction, and picture processing algorithms, and optimizing the present algorithms.
- Coding expertise in C/C++, Python, Tensorflow, CUDA toolkit, CuDNN, Theano, Caffe, Torch, OpenCV or related instruments.
- Takes possession of self-professional improvement
- The specified candidate needs to be a fast thinker and may have a monitor document of high-performance product improvement.
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Deep Studying Engineer
Firm: Arya.ai
Location: Mumbai, Maharashtra
Duties:
- Working with information science workforce in constructing/optimizing the present DL methods
- Personal the mannequin constructing and mannequin deployment duties like information assortment, information cleansing, creating information pipelines, producing & analysing mannequin output, mannequin validations, and deploying them in manufacturing
- Sync/rotate between inside product work and consumer deployment work
- Work intently with product managers and administration workforce on micro ¯o targets
- Be an lively half within the product discussions and contribute to the product improvement roadmap.
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Machine Studying Engineer
Firm: Dell Applied sciences
Location: Bengaluru, Karnataka
Duties:
- Construct Knowledge Pipelines & platforms to operationalize Machine Studying fashions at scale
- Work with the information science workforce to allow strong decision-making by way of interested by scale, latency, throughput necessities. Create instruments/methods to hurry up ML lifecycle.
- Play a major position in enabling the adoption of subtle algorithms and information mining methods.
- Generates new practices and processes for efficient ML engineering, in alignment with core subject-matter experience.
- Outline finest practices for code optimization, mannequin and system validation, and mannequin governance.
Apply Here
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