12+ Artificial Neural Network (ANN) Jobs in India

Main Responsibilities:

• Work closely with your business to identify issues and use data to propose solutions for effective decision making
• Build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organisation.
• Creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc
• Querying databases and using statistical computer languages: R, Python, SLQ, etc.
• Visualizing/presenting data through various Dashboards for Data Analysis, Using Python Dash, Flask etc.
• Test data mining models to select the most appropriate ones for use on a project
• Work in a POSIX/UNIX environment to run/deploy applications
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Assess the effectiveness of data sources and data-gathering techniques and improve data collection methods
• Horizon scan to stay up to date with the latest technology, techniques and methods
• Coordinate with different functional teams to implement models and monitor outcomes.
• Stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work.

General Expectations:

• Able to create algorithms to extract information from large data sets
• Strong knowledge of Python, R, Java or another scripting/statistical languages to automate data retrieval, manipulation and analysis.
• Experience with extracting and aggregating data from large data sets using SQL or other tools
• Strong understanding of various NLP, and NLU techniques like Named Entity Recognition, Summarization, Topic Modeling, Text Classification, Lemmatization and Stemming.
• Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, etc.
• Experience with Python libraries such as Pandas, NumPy, SciPy, Scikit-Learn
• Experience with Jupyter / Pandas / Numpy to manipulate and analyse data
• Knowledge of Machine Learning techniques and their respective pros and cons
• Strong Knowledge of various Data Science Visualization Tools like Tableau, PowerBI, D3, Plotly, etc.
• Experience using web services: Redshift, AWS, S3, Spark, DigitalOcean, etc.
• Proficiency in using query languages, such as SQL, Spark DataFrame API, etc.
• Hands-on experience in HTML, CSS, Bootstrap, JavaScript, AJAX, jQuery and Prototyping.
• Hands-on experience on C#, Javascript, .Net
• Experience in understanding and analyzing data using statistical software (e.g., Python, R, KDB+ and other relevant libraries)
• Experienced in building applications that meet enterprise needs – secure, scalable, loosely coupled design
• Strong knowledge of computer science, algorithms, and design patterns
• Strong oral and written communication, and other soft skills critical to collaborating and engage with teams

DATA SCIENTIST-MACHINE LEARNING                           

GormalOne LLP. Mumbai IN

 

Job Description

GormalOne is a social impact Agri tech enterprise focused on farmer-centric projects. Our vision is to make farming highly profitable for the smallest farmer, thereby ensuring India's “Nutrition security”. Our mission is driven by the use of advanced technology. Our technology will be highly user-friendly, for the majority of farmers, who are digitally naive. We are looking for people, who are keen to use their skills to transform farmers' lives. You will join a highly energized and competent team that is working on advanced global technologies such as OCR, facial recognition, and AI-led disease prediction amongst others.

 

GormalOne is looking for a machine learning engineer to join. This collaborative yet dynamic, role is suited for candidates who enjoy the challenge of building, testing, and deploying end-to-end ML pipelines and incorporating ML Ops best practices across different technology stacks supporting a variety of use cases. We seek candidates who are curious not only about furthering their own knowledge of ML Ops best practices through hands-on experience but can simultaneously help uplift the knowledge of their colleagues.

 

Location: Bangalore

 

Roles & Responsibilities

• Individual contributor
• Developing and maintaining an end-to-end data science project
• Deploying scalable applications on different platform
• Ability to analyze and enhance the efficiency of existing products

 

What are we looking for?

• 3 to 5 Years of experience as a Data Scientist
• Skilled in Data Analysis, EDA, Model Building, and Analysis.
• Basic coding skills in Python
• Decent knowledge of Statistics
• Creating pipelines for ETL and ML models.
• Experience in the operationalization of ML models
• Good exposure to Deep Learning, ANN, DNN, CNN, RNN, and LSTM.
• Hands-on experience in Keras, PyTorch or Tensorflow

 

 

Basic Qualifications

• Tech/BE in Computer Science or Information Technology
• Certification in AI, ML, or Data Science is preferred.
• Master/Ph.D. in a relevant field is preferred.

 

 

Preferred Requirements

• Exp in tools and packages like Tensorflow, MLFlow, Airflow
• Exp in object detection techniques like YOLO
• Exposure to cloud technologies
• Operationalization of ML models
• Good understanding and exposure to MLOps

 

 

Kindly note: Salary shall be commensurate with qualifications and experience

 

 

 

 

Job Title – Data Scientist (Forecasting)

Anicca Data is seeking a Data Scientist (Forecasting) who is motivated to apply his/her/their skill set to solve complex and challenging problems. The focus of the role will center around applying deep learning models to real-world applications.  The candidate should have experience in training, testing deep learning architectures.  This candidate is expected to work on existing codebases or write an optimized codebase at Anicca Data. The ideal addition to our team is self-motivated, highly organized, and a team player who thrives in a fast-paced environment with the ability to learn quickly and work independently.

 

Job Location: Remote (for time being) and Bangalore, India (post-COVID crisis)

 

• At least 3+ years of experience in a Data Scientist role
• Bachelor's/Master’s degree in Computer Science, Engineering, Statistics, Mathematics, or similar quantitative discipline. D. will add merit to the application process
• Experience with large data sets, big data, and analytics
• Exposure to statistical modeling, forecasting, and machine learning. Deep theoretical and practical knowledge of deep learning, machine learning, statistics, probability, time series forecasting
• Training Machine Learning (ML) algorithms in areas of forecasting and prediction
• Experience in developing and deploying machine learning solutions in a cloud environment (AWS, Azure, Google Cloud) for production systems
• Research and enhance existing in-house, open-source models, integrate innovative techniques, or create new algorithms to solve complex business problems
• Experience in translating business needs into problem statements, prototypes, and minimum viable products
• Experience managing complex projects including scoping, requirements gathering, resource estimations, sprint planning, and management of internal and external communication and resources
• Write C++ and Python code along with TensorFlow, PyTorch to build and enhance the platform that is used for training ML models

Preferred Experience

• Worked on forecasting projects – both classical and ML models
• Experience with training time series forecasting methods like Moving Average (MA) and Autoregressive Integrated Moving Average (ARIMA) with Neural Networks (NN) models as Feed-forward NN and Nonlinear Autoregressive
• Strong background in forecasting accuracy drivers
• Experience in Advanced Analytics techniques such as regression, classification, and clustering
• Ability to explain complex topics in simple terms, ability to explain use cases and tell stories

Roles and Responsibilities

● Research and develop advanced statistical and machine learning models for
analysis of large-scale, high-dimensional data.

● Dig deeper into data, understand characteristics of data, evaluate alternate
models and validate hypotheses through theoretical and empirical approaches.

● Productize has proven or working models into production-quality code.

● Collaborate with product management, marketing, and engineering teams in
Business Units to elicit & understand their requirements & challenges and
develop potential solutions

● Stay current with the latest research and technology ideas; share knowledge by
clearly articulating results and ideas to key decision-makers.

● File patents for innovative solutions that add to the company's IP portfolio

Requirements

● 4 to 6 years of strong experience in data mining, machine learning and
statistical analysis.

● BS/MS/Ph.D. in Computer Science, Statistics, Applied Math, or related areas
from Premier institutes ( only IITs / IISc / BITS / Top NITs or top US university
should apply)

● Experience in productizing models to code in a fast-paced start-up
environment.

● Fluency in analytical tools such as Matlab, R, Weka etc.

● Strong intuition for data and Keen aptitude on large scale data analysis

● Strong communication and collaboration skills.

• Building out and manage a young data science vertical within the organization

• Provide technical leadership in the areas of machine learning, analytics, and data sciences

• Work with the team and create a roadmap to solve the company’s requirements by solving data-mining, analytics, and ML problems by Identifying business problems that could be solved using Data Science and scoping it out end to end.

• Solve business problems by applying advanced Machine Learning algorithms and complex statistical models on large volumes of data.

• Develop heuristics, algorithms, and models to deanonymize entities on public blockchains

• Data Mining - Extend the organization’s proprietary dataset by introducing new data collection methods and by identifying new data sources.

• Keep track of the latest trends in cryptocurrency usage on open-web and dark-web and develop counter-measures to defeat concealment techniques used by criminal actors.

• Develop in-house algorithms to generate risk scores for blockchain transactions.

• Work with data engineers to implement the results of your work.

• Assemble large, complex data sets that meet functional / non-functional business requirements.

• Build, scale and deploy holistic data science products after successful prototyping.

• Clearly articulate and present recommendations to business partners, and influence future plans based on insights.

 

 

• >8+ years of relevant experience as a Data Scientist or Analyst. A few years of work experience solving NLP problems or other ML problems is a plus

• Must have previously managed a team of at least 5 data scientists or analysts or demonstrate that they have prior experience in scaling a data science function from the ground 

• Good understanding of python, bash scripting, and basic cloud platform skills (on GCP or AWS)

• Excellent communication skills and analytical skills

• Work closely with the Founders in helping grow the organization to the next level alongside some of the best and brightest talents around you

• An excellent culture, we encourage collaboration, growth, and learning amongst the team

• Competitive salary and equity

• An autonomous and flexible role where you will be trusted with key tasks.

• An opportunity to have a real impact and be part of a company with purpose.

Looking for senior data science researchers.

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.

-Precily AI: Automatic summarization, shortening a business document, book with our AI. Create a summary of the major points of the original document. AI can make a coherent summary taking into account variables such as length, writing style, and syntax. We're also working in the legal domain to reduce the high number of pending cases in India. We use Artificial Intelligence and Machine Learning capabilities such as NLP, Neural Networks in Processing the data to provide solutions for various industries such as Enterprise, Healthcare, Legal.

APPLY LINK: http://bit.ly/2F83vxU Go through the entire job post thoroughly before pressing Apply. There is an eleven characters french word v*n*i*r*t*e mentioned somewhere in the whole text which is irrelevant to the context. You shall be required to enter this word while applying else application won't be considered submitted. ````````````````````````````````````````````````````````````````````````````````````````````````````` Researcher - Deep Learning & AI Team: Research Full-Time, Permanent Bangaluru, India Relevant Exp: 6 months - 5 Years Background: Top Tier institute + Startup exposure Compensation: INR 10-50 LPA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Busigence is a Decision Intelligence Company. We create decision intelligence products for real people by combining data, technology, business, and behavior enabling strengthened decisions. Scaling established startup by IIT alumni innovating & disrupting marketing domain through artificial intelligence. We bring those people onboard who are dedicated to deliver wisdom to humanity by solving the world’s most pressing problems differently thereby significantly impacting thousands of souls, everyday. We are a deep rooted organization with six years of success story having worked with folks from top tier background (IIT, NSIT, DCE, BITS, IIITs, NITs, IIMs, ISI etc.) maintaining an awesome culture with a common vision to build great data products. In past we have served fifty five customers and presently developing our second product, Robonate. First was emmoQ - an emotion intelligence platform. Third offering, H2HData, an innovation lab where we solve hard problems through data, science, & design. We work extensively & intensely on big data, data science, machine learning, deep learning, reinforcement learning, data analytics, natural language processing, cognitive computing, and business intelligence. First-and-Foremost Before you dive-in exploring this opportunity and press Apply, we wish you to evaluate yourself - We are looking for right candidate, not the best candidate. We love to work with someone who can mandatorily gel with our vision, beliefs, thoughts, methods, and values --- which are aligned with what can be expected in a true startup with ambitious goals. Skills are always secondary to us. Primarily, you must be someone who is not essentially looking for a job or career, rather starving for a challenge, you yourself probably don't know since when. A book can be written on what an applicant must have before joining a . For brevity, in nutshell, we need these three in you: 1. You must be [super sharp] (Just an analogue, but Irodov, Mensa, Feynman, Polya, ACM, NIPS, ICAAC, BattleCode, DOTA etc should have been your Done stuff. Can you relate solution 1 to problem 2? or Do you get confused even when solved similar problem in past? Are you able to grasp problem statement in one go? or get hanged?) 2. You must be [extremely energetic] (Do you raise eyebrows when asked to stretch your limits, both in terms of complexity or extra hours to put in? What comes first in your mind, let's finish it today or this can be done tomorrow too? Its Friday 10 PM at work -Tired?) 3. You must be [honourably honest] (Do you tell others what you think, or what they want to hear? Later is good for sales team for their customers, not for this role. Are you honest with your work? intrinsically with yourself first?) You know yourself the best. If not ask your loved ones and then decide. We clearly need exceedingly motivated people with entrepreneurial traits, not employee mindset - not at all. This is an immediate requirement. We shall have an accelerated interview process for fast closure - you would be required to be proactive and responsive. Real ROLE We are looking for researchers with real passion for deep learning. You would be required to work with our research team on several deep learning applications. Mandatory R1. Must know in-and-out of functional programming in Python with strong flair for data structures, linear algebra, & algorithms implementation R2. Must be able to apply state-of-art deep learning models to our existing research and develop entirely new methods, which are advanced & modern R3. Must have designed multiple deep learning techniques solving complex business scenarios preferably from marketing domain across industries R4. Must have designed proven pre-processing techniques on unstructured (image, audio, video, text, logs) and time-series data R5. Must have designed CNN, RNN (atleast three variants including LSTM), Auto Encoders, DBN, MLP, RBM R6. Must have tweaked & trained on deep learning architectures mainly AlexNet, ResNet, RCNN, GAN R7. Must have worked on classification, clustering, computer vision, speech recognition, text summarization, time-series analysis R8. Must have firm understanding of the underlying mathematics will be needed to adapt modelling techniques to fit the problem space with large data (10M+ entities) R9. Must be extremely strong working knowledge on Python scientific stack (NumPy, SciPy, Matplotlib, Scikit-learn, Pandas, Stats model, Seaborn, PyBrain) and atleast basic working knowledge on TensorFlow. R/ SAS/ SPSS etc are not acceptable. Preferred R10. Good to have knowledge and practical experience in application of Supervised Learning algorithms, Bayesian methods, Gaussian processes, Combinatorial optimization, Meta Learning, Transfer Learning, Convex optimization, Sparse methods, Kernel methods, Stochastic process, Statistical learning theory, and Approximate inference R11. Good to have working knowledge of first-class, high order, & pure functions, recurisons, lazy evaluations, and immutable data structures R12. Good to have worked on Tensorboard, Saving & Restoring models, Continue Training R13. Good to have worked on Keras on top of TensorFlow R14. Good to have worked on Reinforcement Learning and Generative Adverbial Networks R15. Great problem solver with extremely high curiosity on data processing & patterns Ideal YOU Y1. Degree in engineering, or any other data-heavy field at Bachelors/Masters/Ph.D level or above from a top tier institute Y2. Relevant experience of 0.5 - 5 years working on real-world problems in a research lab or a reputed company or a proven startup Y3. You are a fanatical implementer who love to spend time with findings & innovations, more than your loved ones Y4. You are true believer that human intelligence can be augmented through computer science & mathematics and your survival vinaigrette depends on getting the most from the data Y5. You are an entrepreneur mindset with ownership, intellectuality, & creativity as way to work. These are not fancy words, we mean it Actual WE W1. Real startup with Meaningful products W2. Revolutionary not just disruptive W3. Rules creators not followers W4. Small teams with real brains not herd of blockheads W5. Completely trust us and should be trusted back Why Us In addition to the regular stuff which every good startup offers – Lots of learning, Food, Parties, Open culture, Flexible working hours, and what not…. We offer you: You shall be working on our revolutionary products which are pioneer in their respective categories. This is a fact. We try real hard to hire fun loving crazy folks who are driven by more than a paycheck. You shall be working with creamiest talent on extremely challenging problems at most happening workplace. How to Apply You should apply online by clicking "Apply Now". For queries regarding an open position, please write to [email protected] For more information, visit http://www.busigence.com Careers: http://careers.busigence.com Research: http://research.busigence.com Jobs: http://careers.busigence.com/jobs/research Feel right fit for the position, mandatorily attach PDF resume highlighting your A. Key Skills B. Knowledge Inputs C. Major Accomplishments D. Problems Solved E. Submissions – Github/ StackOverflow/ Kaggle/ Euler Project etc. (if applicable) If you don't see this open position that interests you, join our Talent Pool and let us know how you can make a difference here. Referrals are more than welcome. Keep us in loop.

You are responsible for: * Developing algorithms to challenge the state-of-the-art in deep learning for NLP * Generating and implement new ideas for applied AI in travel * Creating AI solutions for automated dialogue (chat bots); natural texting for booking flights, hotels etc. * Build highly performant, real time, end to end, responsive request/recommendation engines powered by natural language processing and other machine learning techniques * Build and evolve/train NLP platform from natural language text data being gathered from users on daily basis * Code using primarily Python, No-SQL, and Google Cloud (AppEngine) stack. Speed, Speed, Speed - must be a performance freak! Requirements * B.E. from IIT or NIT or Tier-1 Institutes ONLY or MS from reputed institutions or Ph.D. in Computer Science, Natural Language Processing, Computational Linguistics or closely related field * 2+ years of Natural Language Processing experience * Ability to productize research efforts into end to end running application. * Ability to work with other platform engineers; learn, build, deploy, run, debug code. * Expertise in Applied Machine Learning, Neural Networks & Deep Learning for NLP tasks * Software programming in Java or Python and knowledge of SQL and NoSQL databases * Strong understanding of other AI tools and applications like TensorFlow, Spacy, Google Cloud ML is a BIG plus. * Fundamentally very strong in software engineering principles * Track record of scientific publications and presentation at scientific conferences is a PLUS You can look forward to a lot of impacts and a lot of freedom. With that comes the responsibility to ship quality code, so we’re looking for people that take quality as a point of pride. You will be a key member of the Platform & AI research staff working on our innovative conversational commerce product. The ultimate goal of our AI team is to build a powerful and scalable AI platform that learns from users and in-house experts on a daily basis, knows more than what it’s taught and keeps learning and getting better every day.

About Mastercard

We are the global technology company behind the world’s fastest payments processing network.

We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless.

We ensure every employee has the opportunity to be a part of something bigger and to change lives.

We believe as our company grows, so should you.

We believe in connecting everyone to endless, priceless possibilities.

Overview Services and Data is helping to shape the future of data insights by leveraging billions of anonymized, aggregated transactions in a 10 petabyte date warehouse to help financial institutions, merchants, media, and governments manage their businesses more effectively.

Advanced Analytics is charged with servicing clients by centralizing and optimizing the world class analytical, modeling, software coding, data sourcing, product development, product management, econometrics, and associated delivery capabilities of the MasterCard Advisors organization.

It focuses on creating innovative technology solutions which leverage technology in the data science, artificial intelligence and analytics arenas; on enabling the field with industrialized, repeatable products and on researching and incubating emerging technology to determine how they might apply to our customers and facilitate positive outcomes.

What we are re looking for

• Are you motivated by developing new Analytical skills, leading to insights into issues and developing recommendations that add real value to clients?
• Have you managed the client independently and effectively?
• Do you want to play a key role in driving a world beyond cash?
• Leading the formulation of artificial intelligence and machine learning solution objectives. Working on technical requirements based on user need.
• Responsible for creating the framework of solutions that take data intensive and complex business challenges and provide easily consumed and automated outcomes
• Using unique visualization techniques, condenses large volumes of complex ideas into elegant and simple visual models
• Determine opportunities to exploit new data sources or leverage new outcomes from existing data sources, by applying new models and algorithms to create business value
• Influences a client's strategic decisions by using deep industry expertise and deploying innovative Deep Learning analytics solutions in the operational systems Leadership Skills
• Works closely with clients/internal stakeholders to understand their business needs and design a technical solution
• Proving viability of the solution through mechanisms like proof-of-concepts
• Thought Leadership in AI – Developing compelling audience-specific messages and tools. Capture and share best practices and insights internally and with partners and customers.
• Self-driven, energetic, creative with ability to work in global teams.
• Excellent communication skills and a wide knowledge base, to convince the Stakeholders on application of AI/ML
• Provide technical leadership to the team members in relevant topics on AI/ML
• Adaptable - Takes in stride and constantly attunes to the changing needs of a highly dynamic business
• Curious - our key contributors are always seeking to grow their knowledge, to gain new perspectives, and to find better ways forward by researching and showcasing latest AI tools, techniques and applications
• Tenacious - self-starters who will take ownership of projects and bring them to completion despite difficulties or setbacks
• Consulting and Project Management Experience preferred

 

Functional and Technical Skills

• Experience in building and implementing AI application in any of the two domains - Fraud, risk, marketing, finance, operations for Banks, Fintech, Ecommerce, merchants or retailers
• Has a deep understanding of business value industry requirements and advanced analytic models (statistical, operations research, computing process)
• Responsible for building applications using artificial intelligence/machine learning technology, applying latest industrial and academic developments, prefer Kaggle hackathon participant
• Expertise in deep learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, Theono
• Proficient in Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s.
• Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing
• Expertise in classical Machine Learning algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil etc
• Extensive experience in statistical tools and programming environments like Python, R, SAS, SQL
• Experience with BIG DATA platforms - Hadoop, Hive, Spark, GPU Clusters for deep learning

 

Qualifications

• Minimum Graduate degree in Mathematics/Computer Science/Engineering

We are an Technology startup based in Singapore, with development office in Coimbatore and Bangalore. We are setting up AI lab in Bangalore and looking for Trainers in Deep Learning and Artificial Intelligence on Part-time and on-demand basis. Please drop me a line to discuss the opportunities further.