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Machine Learning is the field of study that gives computers the capability to learn without being explicitly programmed. ML is one of the most exciting technologies that one would have ever come across. As it is evident from the name, it gives the computer that makes it more similar to humans: The ability to learn. Machine learning is actively being used today, perhaps in many more places than one would expect. Here are the top 10 machine learning jobs to apply for in March 2022.
The applicant for this job will play the role of PDO Software Engineer. He will have to understand, develop, test & deploy new product features and provide product support. It is also his responsibility to establish and adhere to Ford's standard DevOps tools and processes and contribute or participate in all agile ceremonies & update rallies on daily basis. He is also obliged to resolve any technical debts or performance issues and must follow quality standards and adhere to delivery timeline commitments. He will work collaboratively with other teams in the product line and product line Integration team. He will also have to coordinate with other teams like interfaces and ITO teams to ensure seamless delivery.
Apply here.
The majority of the work for the candidate will be in the Image Classification and Object Detection domain in addition to core ML. He will have to work with the product and R&D team to understand business goals and help bring them to fruition with ML/AI. He can take the company's machine learning models and optimize them for performance, speed, and size. He will also have to research new technologies and best practices and make sure it is up to date.
Apply here.
The company is looking for a data science researcher with a strong track record of publications in top-tier conferences to define and lead research areas that will transform digital marketing by enabling better execution, analysis, and planning of marketing activities for the customers of Adobe's Experience Cloud. Job responsibilities include developing and leading research areas, publishing in top conferences and journals, working with product teams to turn the research advances to impactful product features, and collaborating with academic labs.
Apply here.
The Physical Digital Analytics group is passionate about combining domain models with Operations Research, Machine Learning, and Natural Language Processing, for industrial applications like Medical equipment for the Healthcare, Power (Gas, Wind, Steam), Aviation & Manufacturing sectors to prevent failures in this equipment, increase their life and optimize their performance. The applicant should be highly passionate and an enthusiastic player for solving applied research problems in industrial segments discussed above by building and implementing algorithms for operations optimization and machine learning. The applicant should have shown research experience in the areas of analytics with a strong mathematical skill and the ability to connect physics-based methods with advanced Artificial Intelligence techniques. The candidate is expected to document results in patent disclosures and high-quality peer-reviewed publications. Should be eager to work in a global team, work with GE Business and customers to define problems, work with experienced and dynamic researchers to develop next-generation Industrial AI breakthroughs. The applicant should be a great teammate and willing to get involved in interdisciplinary research.
Apply here.
Ideal candidates for this job should have a Ph.D. and have publications in one of the above areas. Should have strong programming skills, particularly in implementing and iterating on deep learning techniques from recent research papers. This job requires rapidly iterating on new ideas with engineers, writing code, and publishing at top machine learning conferences.
Apply here.
As an ML researcher in the product team, the candidate will get the opportunity to apply artificial intelligence to curate data, enabling researchers to solve complex biological problems. The company is looking for someone who has an entrepreneurial drive and is excited about ML and product problems in the field of data science.
Apply here.
Partner with Delivery teams across MCDS working to improve the quality of the work and deliverables with the state-of-the-art
The candidates will have to research into foundational ML/AI techniques and advance the state-of-art with respect to the above businesses by implementing the algorithms/models required on the MS Azure stack given above. He will file patents and publish papers with respect to the novel algorithms/techniques above and ensure its presence in the top ML conferences and journals both internal (MLADS, MSJAR) and external in consultation with the peers and manager.
Apply here.
The candidates are required to have a GPA of 3.0+ in a Computer Science or Data Science program from a 4-year university. MS preferred. They should also have at least 4 years of experience in commercial text-based machine learning (Location: Remote India). The ability to understand complex problems, decompose them into a set of testable hypotheses, implement bug-free experiments, analyze the results, and produce insights, solutions, and next steps from the analysis. They are also required to work mostly independently and collaborate in small teams. Self-motivated solution seeker.
Apply here.
As a core member of the company's Data Science team, the candidate will take ownership of the project(s) focusing on NER, Classification, data processing, supervised and unsupervised modeling techniques, and analysis of large unstructured/textual data sets.
Apply here.
The company will have to design and develop Machine Learning and Data Science solutions for 7-Eleven retail challenges and operationalize solutions through automation of data pipelines. They will have to experiment with off-the-shelf libraries and/or build custom solutions using a deep understanding of statistical algorithms. It is also their responsibility to participate with business stakeholders in the areas of personalization, supply chain, inventory management, labor management, etc. one will have to challenge oneself and others in continuous improvement through proof on concepts, industry research, internal and external model bake-offs.
Apply here.
