About Twitter

Twitter is an open service thats home to a world of diverse people, perspectives, ideas, and information. We serve the public conversation. It matters to us that people have a free and safe space to talk. Thats why were constantly improving our rules and processes, technology and tools. Were not perfect thats why we listen to you, the people on Twitter. Its also why we work to be as transparent as possible.

Job Description

What You’ll Do:

Wearebuildingateamofmachinelearning engineerswhocanconnectemerging marketuserstotheconversationsandpeoplethatarerelevanttothembased ontheirlocale(s)/preferredlanguage(s).Thisteamwillbuildinfrastructureandmodelsto

generate recommendations user sees under Search, Explore, Trends, Topics, the home Timeline. How do you find the most meaningful contentamongmillions ofnewtweetsforhundreds ofmillionsofuserseverydayinemergingmarkets withlocal

languages/uniqueinterest&socialgraphs? Webuildpersonalizedrecommendationengine(s)utilizing differentkindsofsignalssuch as social networks, user activity, language(s),geolocation…

We are looking for a Staff Engineer/architect ML engineer to bootstrap the global participation ML engineering team:

• Improveexistingsearch engineandrecommendationsystems,experimentwithnewdirections,andprovideMLsolutions in recommendation systems withinTwitter.
• Build models and algorithms to understand user interest, user intent, and improve contentrelevancy.
• Build features and develop new rankingalgorithms.
• Workcloselywithliveproductionsystemsandproduct teams,anddeliversolutionsatscalewithintheTwitter techstack
• Amastercollaboratorwhocanworkwithallcross-functionalstakeholdersincludingresearchers,designers,datascientists,product managers,andengineers tounderstandanddefineproduct requirementsandroadmap.
• Note:Weexpectcandidatestonotonlydesign/buildrecommendationsystemsbutalsodeploytheminproductionandso software engineering skills/experience are amust.

Qualifications

Who you are:

Youareamachine learningsoftwareengineer withapassionforworkingexcitingalgorithmicanddeepinfrastructureissuesin ML environments. More specifically, you are doing the following kind of Machine Learningwork:

• Thrive on working in concert with other smart people, including from distributedoffices.
• Communicate fluidly, at the level of your audience, and seek to understand and beunderstood.
• Have the ability to take on complex problems, learn quickly, iterate, and persist towards a good solution.
• Take pride in polishing and supporting ourproducts.

About Twitter

Twitter is an open service thats home to a world of diverse people, perspectives, ideas, and information. We serve the public conversation. It matters to us that people have a free and safe space to talk. Thats why were constantly improving our rules and processes, technology and tools. Were not perfect thats why we listen to you, the people on Twitter. Its also why we work to be as transparent as possible.

Job Description

What You’ll Do:

Wearebuildingateamofmachinelearning engineerswhocanconnectemerging marketuserstotheconversationsandpeoplethatarerelevanttothembased ontheirlocale(s)/preferredlanguage(s).Thisteamwillbuildinfrastructureandmodelsto

generate recommendations user sees under Search, Explore, Trends, Topics, the home Timeline. How do you find the most meaningful contentamongmillions ofnewtweetsforhundreds ofmillionsofuserseverydayinemergingmarkets withlocal

languages/uniqueinterest&socialgraphs? Webuildpersonalizedrecommendationengine(s)utilizing differentkindsofsignalssuch as social networks, user activity, language(s),geolocation…

We are looking for a Staff Engineer/architect ML engineer to bootstrap the global participation ML engineering team:

• Improveexistingsearch engineandrecommendationsystems,experimentwithnewdirections,andprovideMLsolutions in recommendation systems withinTwitter.
• Build models and algorithms to understand user interest, user intent, and improve contentrelevancy.
• Build features and develop new rankingalgorithms.
• Workcloselywithliveproductionsystemsandproduct teams,anddeliversolutionsatscalewithintheTwitter techstack
• Amastercollaboratorwhocanworkwithallcross-functionalstakeholdersincludingresearchers,designers,datascientists,product managers,andengineers tounderstandanddefineproduct requirementsandroadmap.
• Note:Weexpectcandidatestonotonlydesign/buildrecommendationsystemsbutalsodeploytheminproductionandso software engineering skills/experience are amust.

Qualifications

Who you are:

Youareamachine learningsoftwareengineer withapassionforworkingexcitingalgorithmicanddeepinfrastructureissuesin ML environments. More specifically, you are doing the following kind of Machine Learningwork:

• Thrive on working in concert with other smart people, including from distributedoffices.
• Communicate fluidly, at the level of your audience, and seek to understand and beunderstood.
• Have the ability to take on complex problems, learn quickly, iterate, and persist towards a good solution.
• Take pride in polishing and supporting ourproducts.

Technical Support Supervisor

At Dell Technologies, world-class service doesn’t end when a customer purchases our innovative products. Our Technical Support team is there for them whenever they need help – by phone or email, online and on social media. No matter how complex the challenge, we rise to it. We answer questions about the installation, operation, configuration, customization and use of Dell Technologies products. For critical matters, we use our systems to provide remote diagnostic technical support. If there’s an issue with a customer’s product, we’ll analyze it, identify the cause, recommend a solution and document the problem.

Join us as a Technical Support Supervisor on our Technical Support team in [Bangalore] to do the best work of your career and make a profound social impact.

Dell Technologies helps organizations and individuals build a brighter digital tomorrow. Our company is made up of more than 150,000 people, located in over 180 locations around the world. We’re proud to be a diverse and inclusive team and have an endless passion for our mission to drive human progress.

What’s most important to us is that you are respected, feel like you can be yourself and have the opportunity to do the best work of your lifewhile still having a life. We offer excellent benefits, bonus programs, flexible work arrangements, a variety of career development opportunities, employee resource groups, and much more.

We started with computers, but we didn’t stop there. We are helping customers move into the future with multi-cloud, AI and machine learning through the most innovative technology and services portfolio for the data era. Join us and become a part of what’s next in technology, starting today.

You can also learn more about us by reading our latest Diversity and Inclusion Report and our plan to make the world a better place by 2030 here.

Application closing date: 15 December 2021

Dell is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Dell are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Dell will not tolerate discrimination or harassment based on any of these characteristics. Dell encourages applicants of all ages. Read the full Equal Employment Opportunity Policy here.

Robert Bosch Engineering and Business Solutions Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world’s leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions.
With over 20,000 associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.

Do you want to be part of the data revolution, reforms and strategies? Whether it’s in the area of mobility solutions, consumer goods, industrial technologies or energy and building technology or others, with Bosch R&D, you will have the chance to improve quality of life all across the globe by working on cutting edge technologies. We are a world class R&D team responsible to bring new features & products to the market for most product portfolio of Bosch with diverse verticals (Autonomous Driving, Consumer Electronics, Building Technologies, etc. to name a few).

2-4 years of experience in commercial software development & data science for medium to large scale deployments. Must have worked on multi domain and wide range of technologies and hands-on on leading technologies. Quick learner and passionate to drive the programs through technical strengths.

Tasks

o Research & Development of Algorithms in the area of ML, NLP, NLU and Text Analytics

o Work closely with the research & product teams to investigate the approach & develop professional grade software for Business Units

o Study & extend the Open Source frameworks in ML & NLP, Analytics for suitable requirements

o Grasp and learn from the on job assignments in the area of research, suggest innovative approaches & work independently

o Own the complete pipeline with Data Engineering activities

o Benchmarking with SOTA models and extend/improve the results by closely working with domain experts and senior researchers.

Requirements

o In Depth knowledge of Machine Learning Algorithms and that are used in NLP and NLU

o Conceptual and hands on experience in using and implementing Deep Learning architectures like CNN, RNN and its various flavors.

o Strong knowledge in Data Structures

o Expert in Production Deployment and Development using python

o In depth knowledge of python libraries like NumPy, SciKit, Pandas etc.

o Production experience on know-how of SDLC/Agile development

o Strong Mathematics w.r.t Machine Learning and Deep Learning

o Experience in extending functionalities from Open-Source projects

o Experience in working as or along with Research Team shall be an added advantage

o BE/BTech or ME/MTech/MS in CSE / E&C

Technical Skills and Competency:

o Excellent in Python programming skill is a MUST

o Hands on experience in Python in Production is mandatory

o R knowledge would be an added advantage

o Experience in NLTK,Spacy,Spark ML shall be an added advantage

o Knowledge of WebServices /SoA/RESTful Services and Semantics shall be an added advantage

o Excellent Communication and Interpersonal skills

BE/MS/M.Tech (Electronics, Computer Science or related)

Additional Information

Selected candidate can work remotely during the pandemic times, however, he/she has to shift the base to Bangalore when normalcy returns.

Position Title: Software Engineer/Senior Software Engineer

Responsibilities:

• Work on cutting edge AI/ML tools to achieve the desired business outcome
• Work on end-to-end ML lifecycle starting from problem definition to deployment
• Work with business stake holders to understand the problem, convert into analytical questions and explain the results
• Work with technology stake holders including but not limited to DB, Infra and platform teams
• Write production level code with best software engineering practices in place along with proper documentation
• For ML solutions ensure model’s accuracy and performance over time by enabling monitoring in production systems
• Guide and mentor the junior team members
• Development in harmony with process
• Accountability and out of box thinking

Requirements:

Experience: 3 to 7 Years

• Bachelor’s or Master’s degree required
• Programming efficiency in Python(Must), SQL (Must), R(optional)
• Hands on experience in Deep Learning frameworks such as Tensorflow, Pytorch, Keras etc is must
• Experience in Vision and/ or NLP is must
• Strong communication and technical presentation ability (oral and written).
• Extremely detail oriented with strong analytical and development skills.
• Strong understanding of Statistical concepts such as data distributions, hypothesis testing etc
• Familiarity with BI tools such as Tableau, Spotfire, QlikView etc will be a plus
• Familiarity with JAVA, Scala or any other functional language will be a plus
• Familiarity with Docker and related tech will be a plus
• Familiarity with cloud computing platforms such as AWS, GCP, AZURE will be a plus
• Hands on experience with big data frameworks such as Hadoop, Spark etc will be a plus