Basic Qualifications:
∙Bachelors in Computer Science/Mathematics + Research (Machine Learning, Deep Learning, Statistics, Data Mining, Game Theory or core mathematical areas) from Tier1 tech institutes.
∙3+ years of relevant experience in building large scale machine learning or deep learning models and/or systems.
∙1 year or more of experience specifically with deep learning (CNN, RNN, LSTM, RBM etc).
∙Strong working knowledge of deep learning, machine learning, and statistics.
- Deep domain understanding of Personalization, Search and Visual.
∙Strong math skills with statistical modeling / machine learning.
∙Hands-on experience building models with deep learning frameworks like MXNet or Tensorflow.
∙Experience in using Python, statistical/machine learning libs.
∙Ability to think creatively and solve problems.
∙Data presentation skills.
Preferred:
∙MS/ Ph.D. (Machine Learning, Deep Learning, Statistics, Data Mining, Game Theory or core mathematical areas) from IISc and other Top Global Universities.
∙Or, Publications in highly accredited journals (If available, please share links to your published work.).
∙Or, history of scaling ML/Deep learning algorithm at massively large scale.
About Couture.ai
Couture.ai is founded by global innovators and entrepreneurs with experience and self-funding of creating global startup success stories in past. The core team consists of some of the best minds in India in Machine learning and Deep learning research.
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Job Description:
The data science team is responsible for solving business problems with complex data. Data complexity could be characterized in terms of volume, dimensionality and multiple touchpoints/sources. We understand the data, ask fundamental-first-principle questions, apply our analytical and machine learning skills to solve the problem in the best way possible.
Our ideal candidate
The role would be a client facing one, hence good communication skills are a must.
The candidate should have the ability to communicate complex models and analysis in a clear and precise manner.
The candidate would be responsible for:
- Comprehending business problems properly - what to predict, how to build DV, what value addition he/she is bringing to the client, etc.
- Understanding and analyzing large, complex, multi-dimensional datasets and build features relevant for business
- Understanding the math behind algorithms and choosing one over another
- Understanding approaches like stacking, ensemble and applying them correctly to increase accuracy
Desired technical requirements
- Proficiency with Python and the ability to write production-ready codes.
- Experience in pyspark, machine learning and deep learning
- Big data experience, e.g. familiarity with Spark, Hadoop, is highly preferred
- Familiarity with SQL or other databases.
About LodgIQ
LodgIQ is led by a team of experienced hospitality technology experts, data scientists and product domain experts. Seed funded by Highgate Ventures, a venture capital platform focused on early stage technology investments in the hospitality industry and Trilantic Capital Partners, a global private equity firm, LodgIQ has made a significant investment in advanced machine learning platforms and data science.
Title : Data Scientist
Job Description:
- Apply Data Science and Machine Learning to a REAL-LIFE problem - “Predict Guest Arrivals and Determine Best Prices for Hotels”
- Apply advanced analytics in a BIG Data Environment – AWS, MongoDB, SKLearn
- Help scale up the product in a global offering across 100+ global markets
Qualifications:
- Minimum 3 years of experience with advanced data analytic techniques, including data mining, machine learning, statistical analysis, and optimization. Student projects are acceptable.
- At least 1 year of experience with Python / Numpy / Pandas / Scipy/ MatPlotLib / Scikit-Learn
- Experience in working with massive data sets, including structured and unstructured with at least 1 prior engagement involving data gathering, data cleaning, data mining, and data visualization
- Solid grasp over optimization techniques
- Master's or PhD degree in Business Analytics. Data science, Statistics or Mathematics
- Ability to show a track record of solving large, complex problems
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.ai is interested in hiring a Principal Data Scientist, this person will facilitate standing up standardization and automation ecosystem for ML product delivery, he will also actively participate in managing implementation, design and tuning of product to meet business needs.
Responsibilities:
Responsibilities includes, but are not limited to the following:
- Manage and provides technical expertise to the delivery team. This includes recommendation of solution alternatives, identification of risks and managing business expectations.
- Design, build reliable and scalable automated processes for large scale machine learning.
- Use engineering expertise to help design solutions to novel problems in software development, data engineering, and machine learning.
- Collaborate with Business, Technology and Product teams to stand-up MLOps process.
- Apply your experience in making intelligent, forward-thinking, technical decisions to delivery ML ecosystem, including implementing new standards, architecture design, and workflows tools.
- Deep dive into complex algorithmic and product issues in production
- Own metrics and reporting for delivery team.
- Set a clear vision for the team members and working cohesively to attain it.
- Mentor and coach team members
Qualifications and Skills:
Requirements
- Engineering degree in any stream
- Has at least 7 years of prior experience in building ML driven products/solutions
- Excellent programming skills in any one of the language C++ or Python or Java.
- Hands on experience on open source libraries and frameworks- Tensorflow,Pytorch, MLFlow, KubeFlow, etc.
- Developed and productized large-scale models/algorithms in prior experience
- Can drive fast prototypes/proof of concept in evaluating various technology, frameworks/performance benchmarks.
- Familiar with software development practices/pipelines (DevOps- Kubernetes, docker containers, CI/CD tools).
- Good verbal, written and presentation skills.
- Ability to learn new skills and technologies.
- 3+ years working with retail or CPG preferred.
- Experience in forecasting and optimization problems, particularly in the CPG / Retail industry preferred.
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.
We are looking for an ML engineer (Neuroscience) and would like them to
- Build ML algorithms on MRI/ Medical data sets
- Design and build intelligent agents using continual learning and deep reinforcement learning techniques
- Study and transform data science prototypes
- Design machine learning systems
- Research and implement appropriate ML algorithms and tools
- Develop machine learning applications according to requirements
- Select appropriate datasets and data representation methods
- Run machine learning tests and experiments
- Perform statistical analysis and fine-tune using test results
- Train and retrain systems when necessary
- Extend existing ML libraries and frameworks
- Keep abreast of developments in the field
- Collaborate on technical proposals to grow and define artificial intelligence research for intelligent systems
Must have:
- Knowledge of MRI image processing and inferencing
- Hands-on machine learning expertise with an intensive knowledge of hyperparameter optimization, statistical assumption, and implications
- Experience in deep learning models
- Excellent Python programming skills for ML coding
- Understanding of ML integration with our software
- Good understanding of neuroscience/ clinical data
Bonus if you:
- Are enthusiastic about all things brain science and/or mental well-being
- We are a company that highly values the ability to communicate well. We all take turns at the blog roster, so writing experience and/or enthusiasm is appreciated
- Our core values encourage empathy and innovation, you are gold if you share these
About Toyota Connected
If you want to change the way the world works, transform the automotive industry and positively impact others on a global scale, then Toyota Connected is the right place for you! Within our collaborative, fast-paced environment we focus on continual improvement and work in a highly iterative way to deliver exceptional value in the form of connected products and services that wow and delight our customers and the world around us.
About the Team
Toyota Connected India is hiring talented engineers at Chennai to use Deep Learning, Computer vision, Big data, high performance cloud-based services and other cutting-edge technologies to transform the customer experience with their vehicle. Come help us re-imagine what mobility can be today and for years to come!
Job Description
The Toyota Connected team is looking for a Senior ML Engineer (Computer Vision) to be a part of a highly talented engineering team to help create new products and services from the ground up for the next generation connected vehicles. We are looking for team members that are required to be creative in solving problems, excited to work in new technology areas and be ready to wear multiple hats to get things done in a highly energized, fast-paced, innovative and collaborative startup environment.
What you will do
• Develop solutions using Machine Learning/Deep Learning and other advanced technologies to solve a variety of problems
• Develop image analysis algorithms and deep learning architectures to solve Computer vision related problems.
• Implement cutting edge machine learning techniques in image classification, object detection, semantic segmentation, sequence modeling, etc. using frameworks such as OpenCV, TensorFlow and Pytorch.
• Translate user stories and business requirements to technical solutions by building quick prototypes or proof of concepts with several business and technical stakeholder groups in both internal and external organizations
• Partner with leaders in the area and have insights to select off the shelf components vs building from the scratch
• Convert the proof of concepts to production-grade solutions that can scale for hundreds of thousands of users
• Be hands-on where required and lead from the front in following best practices in development and CI/CD methods
• Own delivery of features from top to bottom, from concept to code to production
• Develop tools and libraries that will enable rapid and scalable development in the future
You are a successful candidate if
• You are smart and can demonstrate it
• You have 8+ years of experience as software engineer with minimum 3 years hands-on experience delivering products or solutions that utilized Computer Vision
• Strong experience in deploying solutions to production, with hands-on experience in any public cloud environment (AWS, GCP or Azure)
• Excellent proficiency in Open CV or related computer vision frameworks and libraries
• Mathematical understanding of a variety of statistical learning algorithms (Reinforcement Learning, Supervised/Unsupervised, Graphical Models)
• Expertise in a variety of Deep Learning architectures including Residual Networks, RNN/CNN, Transformer, and Transfer Learning. And experience in delivering value using these in real production environments for real customers
• You have deep proficiency in Python and at least one other major programming language (C++, Java, Golang)
• You are very fluent in one or more ML tools/libraries like Tensorflow, Pytorch, Caffe, and/or Theano and have solved several real-life problems using these
• We think the knowledge acquired earning a degree in Computer Science or Math would be of great value in this position, but if you're smart and have the experience that backs up your abilities, for us, talent trumps degree every time
What is in it for you?
• Top of the line compensation!
• You'll be treated like the professional we know you are and left to manage your own time and work load.
• Yearly gym membership reimbursement. & Free catered lunches.
• No dress code! We trust you are responsible enough to choose what’s appropriate to wear for the day.
• Opportunity to build products that improves the safety and convenience of millions of customers.
Our Core Values
- Empathetic: We begin making decisions by looking at the world from the perspective of our customers, teammates, and partners.
- Passionate: We are here to build something great, not just for the money. We are always looking to improve the experience of our millions of customers
- Innovative: We experiment with ideas to get to the best solution. Any constraint is a challenge, and we love looking for creative ways to solve them.
- Collaborative: When it comes to people, we think the whole is greater than its parts and that everyone has a role to play in the success!
1)Machine learning development using Python or Scala Spark
2)Knowledge of multiple ML algorithms like Random forest, XG boost, RNN, CNN, Transform learning etc..
3)Aware of typical challenges in machine learning implementation and respective applications
Good to have
1)Stack development or DevOps team experience
2)Cloud service (AWS, Cloudera), SAAS, PAAS
3)Big data tools and framework
4)SQL experience