There are some best AI jobs at top tech companies waiting for you to apply and give your career a boost
Machine learning, artificial intelligence, and data science are the most popular fields for job demands 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 the best AI jobs at top tech companies? Then you are in the right place, this article features the 10 best AI jobs in top tech companies to apply in February 2022.
AI & Digital Analytics Consulting Manager
Company: IBM
Location: New Delhi
Responsibilities:
- Work closely with the deal teams and industry teams to shape and solution Analytics & AI led programs, continuously engage with key client executives and share IBM solution details, effectively communicate value proposition on analytics-led insights and embed AI solutions in client processes.
- Own end-to-end delivery of, a) large & complex Analytics &AI led transformation programs, b) small and nimble business insights initiatives to realize quick gains, c) work with IBM and Partners to bring the best tools and delivery methods.
- Own the offerings and assets on key components of the Analytics & AI value chain, including understanding burning platform and industry trends, defining and framing hypotheses,
- Build key partnerships with top tools, platforms, and fintech.
- Be a thought leader on AI
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ML Engineer
Company: Amazon
Location: Bengaluru, Karnataka
Responsibilities:
- Understand internal customers’ business needs and guide them to a solution using AWS AI Services, AWS AI Platforms, AWS AI Frameworks, and AWS AI EC2 Instances.
- Assist internal customers by being able to deliver an ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, designing ML pipelines, building scalable solutions using ML services, and deploying the completed solutions to deliver business impact to the organization.
- Develop MLOps (Machine Learning Operations) workflows for data preparation, deployment, monitoring, and retraining.
- Improve ML model’s reproducibility, auditing, and performance capabilities.
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AI Manager, Google Cloud, Delivery Center
Company: Google
Location: Gurugram, Haryana
Responsibilities:
- Work with customers to identify opportunities to apply machine learning in their business.
- Design and implement machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and AI Platform.
- Manage and grow a team of consultants and engineers.
- Work with customer technical leads, client executives, and partners to manage and deliver successful implementations of cloud solutions becoming a trusted advisor to decision-makers throughout the engagement.
- Interact with sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks/issues, and timelines for successful client outcomes. Work non-standard hours as needed.
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Senior Principal AI Engineer
Company: Intel
Location: Bengaluru, Karnataka
Responsibilities:
- Developing machine learning algorithms, such as supervised and unsupervised learning, deep learning, reinforcement learning, Bayesian analysis, as well as neuromorphic and brain inspired methods to solve applied problems in various disciplines such as Cognitive Computing, Computer Vision, Audio, Natural Language Processing, Robotics, etc.
Note: This job code can only be assigned if an employee has participated in an official Technical Leadership Program (TLp) nomination process for his/her business group.
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AI/ML – Data Curation Engineer
Company: Apple
Location: Hyderabad, Telangana
Responsibilities:
- Drive and supervise several of the data curation efforts that fuel the pieces in Siri’s technology pipeline.
- Defining data curation specifications for your language, reviewing and ensuring data quality, reporting accuracy metrics, and documenting conventions and processes.
- Lead failure analysis exercises aimed at improving the quality of the end-to-end experience for Siri users in your market.
- Delivering hands-on data analysis tasks across the product’s stack, and triaging technical issues.
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Senior Solution Architect – AI
Company: NVIDIA
Location: New Delhi
Responsibilities:
- As a Solution Architect working at NVIDIA, you will work closely with customers and channel partners in the North & East – establishing relationships, solving problems, and helping them build successful NVIDIA solutions.
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Machine Learning/ Artificial Intelligence Engineer (AI/ML)
Company: Tech Mahindra
Location: New Delhi
Responsibilities:
- Work closely with the business team to define and architect the solution. This will include estimating the components required to provide a comprehensive AI solution that meets and exceeds expectations and delivers tangible business value
- The candidate is expected to deliver cognitive applications that solve/augment business issues using leading Conversational AI technology frameworks
- May need to build high-level chatbot architecture with back end integration, channel integration, Orchestration, high-level understanding of security, chatbot platform understanding
- Review and integrate the technical architecture requirements and manage integration with other components
- Create solutions to deliver recommendations at the user level in real-time, transcoding enhancement, meta-information improvement models
- Provide input into final decisions regarding hardware, network products, system software, and security
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AI/ML Engineer
Company: HCL Technologies
Location: Noida, Uttar Pradesh
Skills & Competencies:
- Candidates must have experience in developing Machine learning, Text extraction, Image processing.
- In-depth knowledge of machine learning, text extraction, and image processing techniques.
- Experience in developing machine learning, text extraction, and image processing algorithms, and optimizing the existing algorithms.
- Coding experience in C/C++, Python, Tensorflow, CUDA toolkit, CuDNN, Theano, Caffe, Torch, OpenCV or similar tools.
- Takes ownership of self-professional development
- The desired candidate should be a quick thinker and should have a track record of high-performance product development.
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Deep Learning Engineer
Company: Arya.ai
Location: Mumbai, Maharashtra
Responsibilities:
- Working with data science team in building/optimizing the current DL systems
- Own the model building and model deployment tasks like data collection, data cleaning, creating data pipelines, generating & analysing model output, model validations, and deploying them in production
- Sync/rotate between internal product work and client deployment work
- Work closely with product managers and management team on micro ¯o goals
- Be an active part in the product discussions and contribute to the product development roadmap.
Apply Here
Machine Learning Engineer
Company: Dell Technologies
Location: Bengaluru, Karnataka
Responsibilities:
- Build Data Pipelines & platforms to operationalize Machine Learning models at scale
- Work with the data science team to enable robust decision-making in terms of thinking about scale, latency, throughput requirements. Create tools/systems to speed up ML lifecycle.
- Play a significant role in enabling the adoption of sophisticated algorithms and data mining strategies.
- Generates new practices and processes for effective ML engineering, in alignment with core subject-matter expertise.
- Define best practices for code optimization, model and system validation, and model governance.
Source: analyticsinsight.net
