Azure ML Engineer

• Deliver full-cycle Tableau development projects, from business needs assessment and data discovery, through solution design, to delivery to client.

• Enable our clients and ourselves to answer questions and develop data-driven insights through Tableau.

• Provide technical leadership and support across all aspects of Tableau development and use, from data specification development, through DataMart development, to supporting end-user dashboards and reports.

• Administrate Tableau Server by creating sites, add/remove users, and provide the appropriate level access for users.

• Strategize and ideate the solution design. Develop UI mock-ups, storyboards, flow diagrams, conceptual diagrams, wireframes, visual mockups, and interactive prototypes.

• Develop best practices guidelines for Tableau data processing and visualization. Use these best practices to quickly deliver functionality across the client base and internal users.

• Degree in a highly-relevant analytical or technical field, such as statistics, data science, or business analytics.

· 5+ years as a Tableau developer and administrator.

· Extensive experience with large data sets, statistical analyses, and visualization as well as hands-on experience on tools (SQL, Tableau, Power BI).

· Ability to quickly learn and take responsibility to deliver.

Data driven decision-making is core to advertising technology at AdElement. We are looking for sharp, disciplined, and highly quantitative machine learning/ artificial intellignce engineers with big data experience and a passion for digital marketing to help drive informed decision-making. You will work with top-talent and cutting edge technology and have a unique opportunity to turn your insights into products influencing billions. The potential candidate will have an extensive background in distributed training frameworks, will have experience to deploy related machine learning models end to end, and will have some experience in data-driven decision making of machine learning infrastructure enhancement. This is your chance to leave your legacy and be part of a highly successful and growing company.

Required Skills

- 3+ years of industry experience with Java/ Python in a programming intensive role

- 3+ years of experience with one or more of the following machine learning topics: classification, clustering, optimization, recommendation system, graph mining, deep learning

- 3+ years of industry experience with distributed computing frameworks such as Hadoop/Spark, Kubernetes ecosystem, etc

- 3+ years of industry experience with popular deep learning frameworks such as Spark MLlib, Keras, Tensorflow, PyTorch, etc

- 3+ years of industry experience with major cloud computing services

- An effective communicator with the ability to explain technical concepts to a non-technical audience

- (Preferred) Prior experience with ads product development (e.g., DSP/ad-exchange/SSP)

- Able to lead a small team of AI/ML Engineers to achieve business objectives

Responsibilities

- Collaborate across multiple teams - Data Science, Operations & Engineering on unique machine learning system challenges at scale

- Leverage distributed training systems to build scalable machine learning pipelines including ETL, model training and deployments in Real-Time Bidding space. 

- Design and implement solutions to optimize distributed training execution in terms of model hyperparameter optimization, model training/inference latency and system-level bottlenecks  

- Research state-of-the-art machine learning infrastructures to improve data healthiness, model quality and state management during the lifecycle of ML models refresh.

- Optimize integration between popular machine learning libraries and cloud ML and data processing frameworks. 

- Build Deep Learning models and algorithms with optimal parallelism and performance on CPUs/ GPUs.

- Work with top management on defining teams goals and objectives.

Education

- MTech or Ph.D. in Computer Science, Software Engineering, Mathematics or related fields

Sizzle is an exciting new startup that’s changing the world of gaming.  At Sizzle, we’re building AI to automate gaming highlights, directly from Twitch and YouTube streams. We’re looking for a superstar engineer that is well versed with computer vision and AI technologies around image and video analysis.  

You will be responsible for:

• Developing computer vision algorithms to detect key moments within popular online games
• Leveraging baseline technologies such as TensorFlow, OpenCV, and others -- and building models on top of them
• Building neural network (CNN) architectures for image and video analysis, as it pertains to popular games
• Specifying exact requirements for training data sets, and working with analysts to create the data sets
• Training final models, including techniques such as transfer learning, data augmentation, etc. to optimize models for use in a production environment
• Working with back-end engineers to get all of the detection algorithms into production, to automate the highlight creation

You should have the following qualities:

• Solid understanding of computer vision and AI frameworks and algorithms, especially pertaining to image and video analysis
• Experience using Python, TensorFlow, OpenCV and other computer vision tools
• Understand common computer vision object detection models in use today e.g. Inception, R-CNN, Yolo, MobileNet SSD, etc.
• Demonstrated understanding of various algorithms for image and video analysis, such as CNNs, LSTM for motion and inter-frame analysis, and others
• Familiarity with AWS environments
• Excited about working in a fast-changing startup environment
• Willingness to learn rapidly on the job, try different things, and deliver results
• Ideally a gamer or someone interested in watching gaming content online

Skills:

Machine Learning, Computer Vision, Image Processing, Neural Networks, TensorFlow, OpenCV, AWS, Python

Seniority: We are open to junior or senior engineers. We're more interested in the proper skillsets.

Salary: Will be commensurate with experience. 

Who Should Apply:

If you have the right experience, regardless of your seniority, please apply. However, if you don't have AI or computer vision experience, please do not apply.

It's regarding a permanent opening with Data Semantics

Data Semantics 

We are Product base company and Microsoft Gold Partner

Data Semantics is an award-winning Data Science company with a vision to empower every organization to harness the full potential of its data assets. In order to achieve this, we provide Artificial Intelligence, Big Data and Data Warehousing solutions to enterprises across the globe. Data Semantics was listed as one of the top 20 Analytics companies by Silicon India 2018 & CIO Review India 2014 as one of the Top 20 BI companies.  We are headquartered in Bangalore, India with our offices in 6 global locations including USA United Kingdom, Canada, United Arab Emirates (Dubai Abu Dhabi), and Mumbai. Our mission is to enable our people to learn the art of data management and visualization to help our customers make quick and smart decisions. 

Our Services include: 

Business Intelligence & Visualization

App and Data Modernization

Low Code Application Development

Artificial Intelligence

Internet of Things

Data Warehouse Modernization

Robotic Process Automation

Advanced Analytics

Our Products:

Sirius – World’s most agile conversational AI platform

Serina

Conversational Analytics

Contactless Attendance Management System

Company URL:   https://datasemantics.co 

JD:

MSBI

SSAS

SSRS

SSIS

Datawarehousing

SQL

Introduction

http://www.synapsica.com/">Synapsica is a https://yourstory.com/2021/06/funding-alert-synapsica-healthcare-ivycap-ventures-endiya-partners/">series-A funded HealthTech startup founded by alumni from IIT Kharagpur, AIIMS New Delhi, and IIM Ahmedabad. We believe healthcare needs to be transparent and objective while being affordable. Every patient has the right to know exactly what is happening in their bodies and they don't have to rely on cryptic 2 liners given to them as a diagnosis. 

Towards this aim, we are building an artificial intelligence enabled cloud based platform to analyse medical images and create v2.0 of advanced radiology reporting.  We are backed by IvyCap, Endia Partners, YCombinator and other investors from India, US, and Japan. We are proud to have GE and The Spinal Kinetics as our partners. Here’s a small sample of what we’re building: https://www.youtube.com/watch?v=FR6a94Tqqls">https://www.youtube.com/watch?v=FR6a94Tqqls

Your Roles and Responsibilities

Synapsica is looking for a Principal AI Researcher to lead and drive AI based research and development efforts. Ideal candidate should have extensive experience in Computer Vision and AI Research, either through studies or industrial R&D projects and should be excited to work on advanced exploratory research and development projects in computer vision and machine learning to create the next generation of advanced radiology solutions.

The role involves computer vision tasks including development customization and training of Convolutional Neural Networks (CNNs); application of ML techniques (SVM, regression, clustering etc.), and traditional Image Processing (OpenCV, etc.). The role is research-focused and would involve going through and implementing existing research papers, deep dive of problem analysis, frequent review of results, generating new ideas, building new models from scratch, publishing papers, automating and optimizing key processes. The role will span from real-world data handling to the most advanced methods such as transfer learning, generative models, reinforcement learning, etc., with a focus on understanding quickly and experimenting even faster. Suitable candidate will collaborate closely both with the medical research team, software developers and AI research scientists. The candidate must be creative, ask questions, and be comfortable challenging the status quo. The position is based in our Bangalore office.

Primary Responsibilities

• Interface between product managers and engineers to design, build, and deliver AI models and capabilities for our spine products.
• Formulate and design AI capabilities of our stack with special focus on computer vision.
• Strategize end-to-end model training flow including data annotation, model experiments, model optimizations, model deployment and relevant automations
• Lead teams, engineers, and scientists to envision and build new research capabilities and ensure delivery of our product roadmap.
• Organize regular reviews and discussions.
• Keep the team up-to-date with latest industrial and research updates.
• Publish research and clinical validation papers

Requirements

• 6+ years of relevant experience in solving complex real-world problems at scale using computer vision-based deep learning.
• Prior experience in leading and managing a team.
• Strong problem-solving ability
• Prior experience with Python, cuDNN, Tensorflow, PyTorch, Keras, Caffe (or similar Deep Learning frameworks).
• Extensive understanding of computer vision/image processing applications like object classification, segmentation, object detection etc
• Ability to write custom Convolutional Neural Network Architecture in Pytorch (or similar)
• Background in publishing research papers and/or patents 
• Computer Vision and AI Research background in medical domain will be a plus
• Experience of GPU/DSP/other Multi-core architecture programming
• Effective communication with other project members and project stakeholders
• Detail-oriented, eager to learn, acquire new skills
• Prior Project Management and Team Leadership experience
• Ability to plan work and meet the deadline

• Participate in full machine learning Lifecycle including data collection, cleaning, preprocessing to training models, and deploying them to Production.
• Discover data sources, get access to them, ingest them, clean them up, and make them “machine learning ready”. 
• Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models. 
• Partner with data scientists to understand and implement machine learning algorithms. 
• Support A/B tests, gather data, perform analysis, draw conclusions on the impact of your models. 
• Work cross-functionally with product managers, data scientists, and product engineers, and communicate results to peers and leaders. 
• Mentor junior team members 

Who we have in mind:

• Graduate in Computer Science or related field, or equivalent practical experience. 
• 4+ years of experience in software engineering with 2+ years of direct experience in the machine learning field.
• Proficiency with SQL,  Python, Spark, and basic libraries such as Scikit-learn, NumPy, Pandas.
• Familiarity with deep learning frameworks such as TensorFlow or Keras
• Experience with Computer Vision (OpenCV),  NLP frameworks (NLTK, SpaCY, BERT).
• Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering). 
• Understand machine learning principles (training, validation, etc.) 
• Strong hands-on knowledge of data query and data processing tools (i.e. SQL) 
• Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code. 
• Experience deploying highly scalable software supporting millions or more users 
• Experience building applications on cloud  (AWS or Azure) 
• Experience working in scrum teams with Agile tools like JIRA
• Strong oral and written communication skills. Ability to explain complex concepts and technical material to non-technical users