AI-ML_EMAI0120PS

Skills: Machine Learning,Deep Learning,Artificial Intelligence,python.

Location:Chennai


Domain knowledge: Data cleaning, modelling, analytics, statistics, machine learning, AI

Requirements:

·         To be part of Digital Manufacturing and Industrie 4.0 projects across Saint Gobain group of companies

·         Design and develop AI//ML models to be deployed across SG factories

·         Knowledge on Hadoop, Apache Spark, MapReduce, Scala, Python programming, SQL and NoSQL databases is required

·         Should be strong in statistics, data analysis, data modelling, machine learning techniques and Neural Networks

·         Prior experience in developing AI and ML models is required

·         Experience with data from the Manufacturing Industry would be a plus

Roles and Responsibilities:

·         Develop AI and ML models for the Manufacturing Industry with a focus on Energy, Asset Performance Optimization and Logistics

·         Multitasking, good communication necessary

·         Entrepreneurial attitude.

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

Qualifications

• You're proficient in AI/Machine learning latest technologies  
• You're proficient in GPT-3 based algorithms 
• You have a passion for writing code as well as understanding and crafting the ways systems interact
• You believe in the benefits of agile processes and shipping code often
• You are pragmatic and work to coalesce requirements into reasonable solutions that provide value

Responsibilities

• Deploy well-tested, maintainable and scalable software solutions
• Take end-to-end ownership of the technology stack and product 
• Collaborate with other engineers to architect scalable technical solutions
• Embrace and improve our standards and processes to reduce friction and unlock efficiency

Current Ecosystem : 
ShibaSwap : https://shibaswap.com/#/" target="_blank">https://shibaswap.com/#/
Metaverse : https://shib.io/#/" target="_blank">https://shib.io/#/
NFTs : https://opensea.io/collection/theshiboshis" target="_blank">https://opensea.io/collection/theshiboshis
Game : Shiba Eternity on iOS and Android

Key Skills
o Convert machine learning models into APIs for applications accessibility
o Running machine learning tests and experiments
o Implementing appropriate ML algorithms
o Creating machine learning models and retraining systems
o Study and transform data science prototypes
o Design machine learning systems
o Research and implement appropriate ML algorithms and tools
o Train and retrain systems when necessary
o Test and deploy models
o Use AI to empower the company with novel capabilities
o Designing and developing machine learning and deep learning system
o Outstanding analytical and problem-solving skills
• Alexa
o Excellent in Python programming
o Experience with AWS Lamda
o Experience with Alexa skills
o Alexa skill directives
• Google
o Excellent in NodeJS programming
o Experience with GCP - Dialog Flow and Actions on Google
o Using built-in intents and developing custom intents
o API integration and Postman knowledge

We at Wow Labz are always striving to look for exciting problems to solve. Whether we’re creating new products or helping a small startup extend its reach, we build from our heart. We’re entrepreneurial and we love new ideas. Fun culture with a team that cares about your development and growth.

We are looking for an expert in machine learning to help us extract maximum value from our data. You will be leading all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

• Identify valuable data sources and automate collection processes
• Study and transform data science prototypes
• Research and Implement appropriate ML algorithms and tools
• Develop machine learning applications according to requirements
• Extend existing ML libraries and frameworks
• Cross-validate models to ensure their generalizability
• Present information using data visualization techniques
• Propose solutions and strategies to business challenges
• Collaborate with engineering and product development teams
• Guide and mentor the respective teams

• Proven experience as a Machine Learning Engineer or similar role
• Demonstrable history of devising and overseeing data-centered projects
• Understanding of data structures, data modeling and software architecture
• Deep knowledge of math, probability, statistics and algorithms
• Experience with cloud platforms like AWS/Azure/GCP
• Knowledge of server configurations and maintenance.
• Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset
• Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
• Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
• Ability to select hardware to run an ML model with the required latency
• Excellent communication skills
• Ability to work in a team
• Outstanding analytical and problem-solving skills

• Inclination towards Mathematics and statistics to understand the algorithms at a deeper level
• Strong OOPs concepts (python preferable)
• Hands on experience with Flask or Django
• Ability to learn latest deployed models and understand their core architecture to gain breadth of expertise

• You are curious and aware of the latest tech trends
• You are self-driven
• You get a kick out of leading a solution towards its completion.
• You have the capacity to foster a healthy, stimulating work environment that frequently harnesses teamwork
• You are fun to hang out with!

Required skill

• Around 6- 8.5 years of experience and around 4+ years in AI / Machine learning space
• Extensive experience in designing large scale machine learning solution for the ML use case,  large scale deployments and establishing continues automated improvement / retraining framework.
• Strong experience in Python and Java is required.
• Hands on experience on Scikit-learn, Pandas, NLTK
• Experience in Handling of Timeseries data and associated techniques like Prophet, LSTM
• Experience in Regression, Clustering, classification algorithms
• Extensive experience in buildings traditional Machine Learning SVM, XGBoost, Decision tree and Deep Neural Network models like RNN, Feedforward is required.
• Experience in AutoML like TPOT or other
• Must have strong hands on experience in Deep learning frameworks like Keras, TensorFlow or PyTorch 
• Knowledge of Capsule Network or reinforcement learning, SageMaker is a desirable skill
• Understanding of Financial domain is desirable skill

 Responsibilities 

• Design and implementation of solutions for ML Use cases
• Productionize System and Maintain those
• Lead and implement data acquisition process for ML work
• Learn new methods and model quickly and utilize those in solving use cases

Responsibilities :- Define the short-term tactics and long-term technology strategy.- Communicate that technical vision to technical and non-technical partners, customers and investors.- Lead the development of AI/ML related products as it matures into lean, high performing agile teams.- Scale the AI/ML teams by finding and hiring the right mix of on-shore and off-shore resources.- Work collaboratively with the business, partners, and customers to consistently deliver business value.- Own the vision and execution of developing and integrating AI & machine learning into all aspects of the platform.- Drive innovation through the use of technology and unique ways of applying it to business problems.Experience and Qualifications :- Masters or Ph.D. in AI, computer science, ML, electrical engineering or related fields (statistics, applied math, computational neuroscience)- Relevant experience leading & building teams establishing technical direction- A well-developed portfolio of past software development, composed of some mixture of professional work, open source contributions, and personal projects.- Experience in leading and developing remote and distributed teams- Think strategically and apply that through to innovative solutions- Experience with cloud infrastructure- Experience working with machine learning, artificial intelligence, and large datasets to drive insights and business value- Experience in agents architecture, deep learning, neural networks, computer vision and NLP- Experience with distributed computational frameworks (YARN, Spark, Hadoop)- Proficiency in Python, C++. Familiarity with DL frameworks (e.g. neon, TensorFlow, Caffe, etc.)Personal Attributes :- Excellent communication skills- Strong fit with the culture- Hands-on approach, self-motivated with a strong work ethic- Ability to learn quickly (technology, business models, target industries)- Creative and inspired.Superpowers we love :- Entrepreneurial spirit and a vibrant personality- Experience with lean startup build-measure-learn cycle- Vision for AI- Extensive understanding of why things are done the way they are done in agile development.- A passion for adding business valueNote: Selected candidate will be offered ESOPs too.Employment Type : Full TimeSalary : 8-10 Lacs + ESOPFunction : Systems/Product SoftwareExperience : 3 - 10 Years

About Artivatic :Artivatic is technology startup that uses AI/ML/Deeplearning to build intelligent products & solutions for finance, healthcare & insurance businesses. It is based out of Bangalore with 20+ team focus on technology. Artivatic building is cutting edge solutions to enable 750 Millions plus people to get insurance, financial access and health benefits with alternative data sources to increase their productivity, efficiency, automation power and profitability, hence improving their way of doing business more intelligently & seamlessly. Artivatic offers lending underwriting, credit/insurance underwriting, fraud, prediction, personalization, recommendation, risk profiling, consumer profiling intelligence, KYC Automation & Compliance, automated decisions, monitoring, claims processing, sentiment/psychology behaviour, auto insurance claims, travel insurance, disease prediction for insurance and more. We have raised US $300K earlier and built products successfully and also done few PoCs successfully with some top enterprises in Insurance, Banking & Health sector. Currently, 4 months away from generating continuous revenue.Skills : - We at artivatic are seeking for passionate, talented and research focused computer engineer with strong machine learning and computer vision background to help build industry-leading technology with a focus in document text extraction and parsing using OCR across different languages.Qualifications :- Bachelors or Master degree in Computer Science, Computer vision or related field with specialization in Image Processing or machine learning.- Research experience in Deep Learning models for Image processing or OCR related field is preferred.- Publication record in Deep Learning models for Computer Vision conferences/journals is a plus.Required Skills :- Excellent skills developing in Python in Linux environment. Programming skills with multi-threaded GPU Cuda computing and API Solutions.- Experience applying machine learning and computer vision principles to real-world data and working in Scanned and Documented Images.- Good knowledge of Computer Science, math and statistics fundamentals (algorithms and data structures, meshing, sampling theory, linear algebra, etc.)- Knowledge of data science technologies such as Python, Pandas, Scipy, Numpy, matplotlib, etc.- Broad Computer Vision knowledge - Construction, Feature Detection, Segmentation, Classification; Machine/Deep Learning - Algorithm Evaluation, Preparation, Analysis, Modeling and Execution.- Familiarity with OpenCV, Dlib, Yolo, Capslule Network or similar and Open Source AR platforms and products- Strong problem solving and logical skills.- A go-getter kind of attitude with a willingness to learn new technologies.- Well versed in software design paradigms and good development practices.Responsibilities :- Developing novel algorithms and modeling techniques to advance the state of the art in- Document and Text Extraction.- Image recognition, Object Identification and Visual Recognition - Working closely with R&D and Machine Learning engineers implementing algorithms that power user and developer-facing products.- Be responsible for measuring and optimizing the quality of your algorithmsExperience : 3 Years+ Location : Sony World Signal, Koramangala 4th Block, Bangalore

We at artivatic are seeking passionate, talented and research focused natural processing language engineer with strong machine learning and mathematics background to help build industry-leading technology. - The ideal candidate will have research/implementation experience modeling and developing NLP tools and experience working with machine learning/deep learning algorithms.Qualifications :- Bachelors or Master degree in Computer Science, Mathematics or related field with specialization in natural language processing, Machine Learning or Deep Learning.- Publication record in conferences/journals is a plus.- 2+ years of working/research experience building NLP based solutions is preferred.Required Skills :- Hands-on Experience building NLP models using different NLP libraries ad toolkit like NLTK, Stanford NLP etc.- Good understanding of Rule-based, Statistical and probabilistic NLP techniques.- Good knowledge of NLP approaches and concepts like topic modeling, text summarization, semantic modeling, Named Entity recognition etc.- Good understanding of Machine learning and Deep learning algorithms.- Good knowledge of Data Structures and Algorithms.- Strong programming skills in Python/Java/Scala/C/C++.- Strong problem solving and logical skills.- A go-getter kind of attitude with a willingness to learn new technologies.- Well versed with software design paradigms and good development practices.Responsibilities :- Developing novel algorithms and modeling techniques to advance the state of the art in Natural Language Processing.- Developing NLP based tools and solutions end to end.

Candidates have to take online class from their home or working place.