11+ Vertex Jobs in Bangalore (Bengaluru) | Vertex Job openings in Bangalore (Bengaluru)
Apply to 11+ Vertex Jobs in Bangalore (Bengaluru) on CutShort.io. Explore the latest Vertex Job opportunities across top companies like Google, Amazon & Adobe.
- Cloud: GCP
- Must have: BigQuery, Python, Vertex AI
- Nice to have Services: Data Plex
- Exp level: 5-10 years.
- Preferred Industry (nice to have): Manufacturing – B2B sales
Azure – Data Engineer
- At least 2 years hands on experience working with an Agile data engineering team working on big data pipelines using Azure in a commercial environment.
- Dealing with senior stakeholders/leadership
- Understanding of Azure data security and encryption best practices. [ADFS/ACLs]
Data Bricks –experience writing in and using data bricks Using Python to transform, manipulate data.
Data Factory – experience using data factory in an enterprise solution to build data pipelines. Experience calling rest APIs.
Synapse/data warehouse – experience using synapse/data warehouse to present data securely and to build & manage data models.
Microsoft SQL server – We’d expect the candidate to have come from a SQL/Data background and progressed into Azure
PowerBI – Experience with this is preferred
Additionally
- Experience using GIT as a source control system
- Understanding of DevOps concepts and application
- Understanding of Azure Cloud costs/management and running platforms efficiently
About antuit.ai
Antuit.ai is the leader in AI-powered SaaS solutions for Demand Forecasting & Planning, Merchandising and Pricing. We have the industry’s first solution portfolio – powered by Artificial Intelligence and Machine Learning – that can help you digitally transform your Forecasting, Assortment, Pricing, and Personalization solutions. World-class retailers and consumer goods manufacturers leverage antuit.ai solutions, at scale, to drive outsized business results globally with higher sales, margin and sell-through.
Antuit.ai’s executives, comprised of industry leaders from McKinsey, Accenture, IBM, and SAS, and our team of Ph.Ds., data scientists, technologists, and domain experts, are passionate about delivering real value to our clients. Antuit.ai is funded by Goldman Sachs and Zodius Capital.
The Role:
Antuit is looking for a Data / Sr. Data Scientist who has the knowledge and experience in developing machine learning algorithms, particularly in supply chain and forecasting domain with data science toolkits like Python.
In this role, you will design the approach, develop and test machine learning algorithms, implement the solution. The candidate should have excellent communication skills and be results driven with a customer centric approach to problem solving. Experience working in the demand forecasting or supply chain domain is a plus. This job also requires the ability to operate in a multi-geographic delivery environment and a good understanding of cross-cultural sensitivities.
Responsibilities:
Responsibilities includes, but are not limited to the following:
- Design, build, test, and implement predictive Machine Learning models.
- Collaborate with client to align business requirements with data science systems and process solutions that ensure client’s overall objectives are met.
- Create meaningful presentations and analysis that tell a “story” focused on insights, to communicate the results/ideas to key decision makers.
- Collaborate cross-functionally with domain experts to identify gaps and structural problems.
- Contribute to standard business processes and practices as part of a community of practise.
- Be the subject matter expert across multiple work streams and clients.
- Mentor and coach team members.
- Set a clear vision for the team members and working cohesively to attain it.
Qualifications and Skills:
Requirements
- Experience / Education:
- Master’s or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, Statistics, Applied Mathematics or other related
- 5+ years’ experience working in applied machine learning or relevant research experience for recent Ph.D. graduates.
- Highly technical:
- Skilled in machine learning, problem-solving, pattern recognition and predictive modeling with expertise in PySpark and Python.
- Understanding of data structures and data modeling.
- Effective communication and presentation skills
- Able to collaborate closely and effectively with teams.
- Experience in time series forecasting is preferred.
- Experience working in start-up type environment preferred.
- Experience in CPG and/or Retail preferred.
- Effective communication and presentation skills.
- Strong management track record.
- Strong inter-personal skills and leadership qualities.
Information Security Responsibilities
- Understand and adhere to Information Security policies, guidelines and procedure, practice them for protection of organizational data and Information System.
- Take part in Information Security training and act accordingly while handling information.
- Report all suspected security and policy breach to Infosec team or appropriate authority (CISO).
EEOC
Antuit.ai is an at-will, equal opportunity employer. We consider applicants for all positions without regard to race, color, religion, national origin or ancestry, gender identity, sex, age (40+), marital status, disability, veteran status, or any other legally protected status under local, state, or federal law.
Top Management Consulting Company
We are looking out for a technically driven "Full-Stack Engineer" for one of our premium client
COMPANY DESCRIPTION:
Qualifications
• Bachelor's degree in computer science or related field; Master's degree is a plus
• 3+ years of relevant work experience
• Meaningful experience with at least two of the following technologies: Python, Scala, Java
• Strong proven experience on distributed processing frameworks (Spark, Hadoop, EMR) and SQL is very
much expected
• Commercial client-facing project experience is helpful, including working in close-knit teams
• Ability to work across structured, semi-structured, and unstructured data, extracting information and
identifying linkages across disparate data sets
• Confirmed ability in clearly communicating complex solutions
• Understandings on Information Security principles to ensure compliant handling and management of
client data
• Experience and interest in Cloud platforms such as: AWS, Azure, Google Platform or Databricks
• Extraordinary attention to detail
Product Engineering MNC (FinTech Domain)
Role : Sr Data Scientist / Tech Lead – Data Science
Number of positions : 8
Responsibilities
- Lead a team of data scientists, machine learning engineers and big data specialists
- Be the main point of contact for the customers
- Lead data mining and collection procedures
- Ensure data quality and integrity
- Interpret and analyze data problems
- Conceive, plan and prioritize data projects
- Build analytic systems and predictive models
- Test performance of data-driven products
- Visualize data and create reports
- Experiment with new models and techniques
- Align data projects with organizational goals
Requirements (please read carefully)
- Very strong in statistics fundamentals. Not all data is Big Data. The candidate should be able to derive statistical insights from very few data points if required, using traditional statistical methods.
- Msc-Statistics/ Phd.Statistics
- Education – no bar, but preferably from a Statistics academic background (eg MSc-Stats, MSc-Econometrics etc), given the first point
- Strong expertise in Python (any other statistical languages/tools like R, SAS, SPSS etc are just optional, but Python is absolutely essential). If the person is very strong in Python, but has almost nil knowledge in the other statistical tools, he/she will still be considered a good candidate for this role.
- Proven experience as a Data Scientist or similar role, for about 7-8 years
- Solid understanding of machine learning and AI concepts, especially wrt choice of apt candidate algorithms for a use case, and model evaluation.
- Good expertise in writing SQL queries (should not be dependent upon anyone else for pulling in data, joining them, data wrangling etc)
- Knowledge of data management and visualization techniques --- more from a Data Science perspective.
- Should be able to grasp business problems, ask the right questions to better understand the problem breadthwise /depthwise, design apt solutions, and explain that to the business stakeholders.
- Again, the last point above is extremely important --- should be able to identify solutions that can be explained to stakeholders, and furthermore, be able to present them in simple, direct language.
http://www.altimetrik.com/">http://www.altimetrik.com
https://www.youtube.com/watch?v=3nUs4YxppNE&feature=emb_rel_end">https://www.youtube.com/watch?v=3nUs4YxppNE&feature=emb_rel_end
https://www.youtube.com/watch?v=e40r6kJdC8c">https://www.youtube.com/watch?v=e40r6kJdC8c
About Us
upGrad is an online education platform building the careers of tomorrow by offering the most industry-relevant programs in an immersive learning experience. Our mission is to create a new digital-first learning experience to deliver tangible career impact to individuals at scale. upGrad currently offers programs in Data Science, Machine Learning, Product Management, Digital Marketing, and Entrepreneurship, etc. upGrad is looking for people passionate about management and education to help design learning programs for working professionals to stay sharp and stay relevant and help build the careers of tomorrow.
-
upGrad was awarded the Best Tech for Education by IAMAI for 2018-19
-
upGrad was also ranked as one of the LinkedIn Top Startups 2018: The 25 most sought-
after startups in India
-
upGrad was earlier selected as one of the top ten most innovative companies in India
by FastCompany.
-
We were also covered by the Financial Times along with other disruptors in Ed-Tech
-
upGrad is the official education partner for Government of India - Startup India
program
-
Our program with IIIT B has been ranked #1 program in the country in the domain of Artificial Intelligence and Machine Learning
Role Summary
Are you excited by the challenge and the opportunity of applying data-science and data- analytics techniques to the fast developing education technology domain? Do you look forward to, the sense of ownership and achievement that comes with innovating and creating data products from scratch and pushing it live into Production systems? Do you want to work with a team of highly motivated members who are on a mission to empower individuals through education?
If this is you, come join us and become a part of the upGrad technology team. At upGrad the technology team enables all the facets of the business - whether it’s bringing efficiency to ourmarketing and sales initiatives, to enhancing our student learning experience, to empowering our content, delivery and student success teams, to aiding our student’s for their desired careeroutcomes. We play the part of bringing together data & tech to solve these business problems and opportunities at hand.
We are looking for an highly skilled, experienced and passionate data-scientist who can come on-board and help create the next generation of data-powered education tech product. The ideal candidate would be someone who has worked in a Data Science role before wherein he/she is comfortable working with unknowns, evaluating the data and the feasibility of applying scientific techniques to business problems and products, and have a track record of developing and deploying data-science models into live applications. Someone with a strong math, stats, data-science background, comfortable handling data (structured+unstructured) as well as strong engineering know-how to implement/support such data products in Production environment.
Ours is a highly iterative and fast-paced environment, hence being flexible, communicating well and attention-to-detail are very important too. The ideal candidate should be passionate about the customer impact and comfortable working with multiple stakeholders across the company.
Roles & Responsibilities-
- 3+ years of experience in analytics, data science, machine learning or comparable role
- Bachelor's degree in Computer Science, Data Science/Data Analytics, Math/Statistics or related discipline
- Experience in building and deploying Machine Learning models in Production systems
- Strong analytical skills: ability to make sense out of a variety of data and its relation/applicability to the business problem or opportunity at hand
- Strong programming skills: comfortable with Python - pandas, numpy, scipy, matplotlib; Databases - SQL and noSQL
- Strong communication skills: ability to both formulate/understand the business problem at hand as well as ability to discuss with non data-science background stakeholders
- Comfortable dealing with ambiguity and competing objectives
Skills Required
-
Experience in Text Analytics, Natural Language Processing
-
Advanced degree in Data Science/Data Analytics or Math/Statistics
-
Comfortable with data-visualization tools and techniques
-
Knowledge of AWS and Data Warehousing
-
Passion for building data-products for Production systems - a strong desire to impact
the product through data-science technique
-
About Us |
|
upGrad is an online education platform building the careers of tomorrow by offering the most industry-relevant programs in an immersive learning experience. Our mission is to create a new digital-first learning experience to deliver tangible career impact to individuals at scale. upGrad currently offers programs in Data Science, Machine Learning, Product Management, Digital Marketing, and Entrepreneurship, etc. upGrad is looking for people passionate about management and education to help design learning programs for working professionals to stay sharp and stay relevant and help build the careers of tomorrow.
|
at NeenOpal Intelligent Solutions Private Limited
We are actively seeking a Senior Data Engineer experienced in building data pipelines and integrations from 3rd party data sources by writing custom automated ETL jobs using Python. The role will work in partnership with other members of the Business Analytics team to support the development and implementation of new and existing data warehouse solutions for our clients. This includes designing database import/export processes used to generate client data warehouse deliverables.
- 2+ Years experience as an ETL developer with strong data architecture knowledge around data warehousing concepts, SQL development and optimization, and operational support models.
- Experience using Python to automate ETL/Data Processes jobs.
- Design and develop ETL and data processing solutions using data integration tools, python scripts, and AWS / Azure / On-Premise Environment.
- Experience / Willingness to learn AWS Glue / AWS Data Pipeline / Azure Data Factory for Data Integration.
- Develop and create transformation queries, views, and stored procedures for ETL processes, and process automation.
- Document data mappings, data dictionaries, processes, programs, and solutions as per established standards for data governance.
- Work with the data analytics team to assess and troubleshoot potential data quality issues at key intake points such as validating control totals at intake and then upon transformation, and transparently build lessons learned into future data quality assessments
- Solid experience with data modeling, business logic, and RESTful APIs.
- Solid experience in the Linux environment.
- Experience with NoSQL / PostgreSQL preferred
- Experience working with databases such as MySQL, NoSQL, and Postgres, and enterprise-level connectivity experience (such as connecting over TLS and through proxies).
- Experience with NGINX and SSL.
- Performance tune data processes and SQL queries, and recommend and implement data process optimization and query tuning techniques.
Job Description
Niki is an artificially intelligent ordering application (http://niki.ai/app" target="_blank">niki.ai/app). Our founding team is from IIT Kharagpur, and we are looking for a Natural Language Processing Engineer to join our engineering team.
The ideal candidate will have industry experience solving language-related problems using statistical methods on vast quantities of data available from Indian mobile consumers and elsewhere.
Major responsibilities would be:
1. Create language models from text data. These language models draw heavily from statistical, deep learning as well as rule based research in recent times around building taggers, parsers, knowledge graph based dictionaries etc.
2. Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
3. Work closely with product teams to implement algorithms that power user and developer-facing products
We work mostly in Java and Python and object oriented concepts are a must to fit in the team. Basic eligibility criteria are:
1. Graduate/Post-Graduate/M.S./
2. Industry experience of min 5 years.
3. Strong background in Natural Language Processing and Machine Learning
4. Have some experience in leading a team big or small.
5. Experience with Hadoop/Hbase/Pig or MaprReduce/Sawzall/Bigtable is a plus
Competitive Compensation.
What We're Building
We are building an automated messaging platform to simplify ordering experience for consumers. We have launched the Android App: http://niki.ai/app" target="_blank">niki.ai/app . In the current avatar, Niki can process mobile phone recharge and book cabs for the consumers. It assists in finding the right recharge plans across topup, 2g, 3g and makes the transaction. In cab booking, it helps in end to end booking along with tracking and cancellation within the App. You may also compare to get the nearest or the cheapest cab among available ones.
Being an instant messaging App, it works seamlessly on 2G / 3G / Wifi and is light weight around 3.6 MB. You may check out using: https://niki.ai/" target="_blank">niki.ai app