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Deep Learning Jobs in Delhi, NCR and Gurgaon

15+ Deep Learning Jobs in Delhi, NCR and Gurgaon | Deep Learning Job openings in Delhi, NCR and Gurgaon

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Tier #1 MNC

Tier #1 MNC

Agency job
via People First Consultants by Aishwarya KA
Chennai, Bengaluru (Bangalore), Pune, Hyderabad, Delhi, Gurugram, Noida, Ghaziabad, Faridabad, Mumbai, Coimbatore, Kochi (Cochin)
4 - 10 yrs
Best in industry
skill iconData Science
skill iconMachine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
skill iconDeep Learning

Job Description:

 

1.Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges

a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem

b. Improve Model accuracy to deliver greater business impact

c.Estimate business impact due to deployment of model


2.Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge


3.Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines


4.Design , develop & deploy Deep learning models using Tensorflow / Pytorch 


5.Experience in using Deep learning models with text, speech, image and video data

a.Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc

b.Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV

c.Knowledge of State of the art Deep learning algorithms


6.Optimize and tune Deep Learnings model for best possible accuracy


7.Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau


8.Work with application teams, in deploying models on cloud as a service or on-prem

a.Deployment of models in Test / Control framework for tracking

b.Build CI/CD pipelines for ML model deployment


9.Integrating AI&ML models with other applications using REST APIs and other connector technologies


10.Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.

 

 

· Technology/Subject Matter Expertise

  • Sufficient expertise in machine learning, mathematical and statistical sciences
  • Use of versioning & Collaborative tools like Git / Github
  • Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming
  • Develop prototype level ideas into a solution that can scale to industrial grade strength
  • Ability to quantify & estimate the impact of ML models.

 

· Softskills Profile

  • Curiosity to think in fresh and unique ways with the intent of breaking new ground.
  • Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control
  • Ability to think ahead, and anticipate the needs for solving the problem will be important

·        Ability to communicate key messages effectively, and articulate strong opinions in large forums

 

 

· Desirable Experience:

  • Keen contributor to open source communities, and communities like Kaggle
  • Ability to process Huge amount of Data using Pyspark/Hadoop
  • Development & Application of Reinforcement Learning
  • Knowledge of Optimization/Genetic Algorithms
  • Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios
  • Optimize and tune deep learning model for best possible accuracy
  • Understanding of stream data processing, RPA, edge computing, AR/VR etc
  • Appreciation of digital ethics, data privacy will be important
  • Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus
  • Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus
Read more
Orboai

at Orboai

4 recruiters
Neha T
Posted by Neha T
Mumbai, Delhi
4 - 7 yrs
₹8L - ₹22L / yr
OpenCV
Image Processing
Image segmentation
skill iconDeep Learning
skill iconPython
+7 more

Who Are We

 

A research-oriented company with expertise in computer vision and artificial intelligence, at its core, Orbo is a comprehensive platform of AI-based visual enhancement stack. This way, companies can find a suitable product as per their need where deep learning powered technology can automatically improve their Imagery.

 

ORBO's solutions are helping BFSI, beauty and personal care digital transformation and Ecommerce image retouching industries in multiple ways.

 

WHY US

  • Join top AI company
  • Grow with your best companions
  • Continuous pursuit of excellence, equality, respect
  • Competitive compensation and benefits

You'll be a part of the core team and will be working directly with the founders in building and iterating upon the core products that make cameras intelligent and images more informative.

 

To learn more about how we work, please check out

https://www.orbo.ai/.

 

Description:

We are looking for a computer vision engineer to lead our team in developing a factory floor analytics SaaS product. This would be a fast-paced role and the person will get an opportunity to develop an industrial grade solution from concept to deployment.

 

Responsibilities:

  • Research and develop computer vision solutions for industries (BFSI, Beauty and personal care, E-commerce, Defence etc.)
  • Lead a team of ML engineers in developing an industrial AI product from scratch
  • Setup end-end Deep Learning pipeline for data ingestion, preparation, model training, validation and deployment
  • Tune the models to achieve high accuracy rates and minimum latency
  • Deploying developed computer vision models on edge devices after optimization to meet customer requirements

 

 

Requirements:

  • Bachelor’s degree
  • Understanding about depth and breadth of computer vision and deep learning algorithms.
  • 4+ years of industrial experience in computer vision and/or deep learning
  • Experience in taking an AI product from scratch to commercial deployment.
  • Experience in Image enhancement, object detection, image segmentation, image classification algorithms
  • Experience in deployment with OpenVINO, ONNXruntime and TensorRT
  • Experience in deploying computer vision solutions on edge devices such as Intel Movidius and Nvidia Jetson
  • Experience with any machine/deep learning frameworks like Tensorflow, and PyTorch.
  • Proficient understanding of code versioning tools, such as Git

Our perfect candidate is someone that:

  • is proactive and an independent problem solver
  • is a constant learner. We are a fast growing start-up. We want you to grow with us!
  • is a team player and good communicator

 

What We Offer:

  • You will have fun working with a fast-paced team on a product that can impact the business model of E-commerce and BFSI industries. As the team is small, you will easily be able to see a direct impact of what you build on our customers (Trust us - it is extremely fulfilling!)
  • You will be in charge of what you build and be an integral part of the product development process
  • Technical and financial growth!
Read more
Orboai

at Orboai

4 recruiters
Hardika Bhansali
Posted by Hardika Bhansali
Mumbai, Noida
2 - 5 yrs
₹6L - ₹20L / yr
skill iconMachine Learning (ML)
skill iconData Science
Computer Vision
skill iconDeep Learning
OpenCV
+6 more

Who Are We

 

A research-oriented company with expertise in computer vision and artificial intelligence, at its core, Orbo is a comprehensive platform of AI-based visual enhancement stack. This way, companies can find a suitable product as per their need where deep learning powered technology can automatically improve their Imagery.

 

ORBO's solutions are helping BFSI, beauty and personal care digital transformation and Ecommerce image retouching industries in multiple ways.

 

WHY US

  • Join top AI company
  • Grow with your best companions
  • Continuous pursuit of excellence, equality, respect
  • Competitive compensation and benefits

You'll be a part of the core team and will be working directly with the founders in building and iterating upon the core products that make cameras intelligent and images more informative.

 

To learn more about how we work, please check out

https://www.orbo.ai/.

 

Description:

We are looking for a computer vision engineer to lead our team in developing a factory floor analytics SaaS product. This would be a fast-paced role and the person will get an opportunity to develop an industrial grade solution from concept to deployment.

 

Responsibilities:

  • Research and develop computer vision solutions for industries (BFSI, Beauty and personal care, E-commerce, Defence etc.)
  • Lead a team of ML engineers in developing an industrial AI product from scratch
  • Setup end-end Deep Learning pipeline for data ingestion, preparation, model training, validation and deployment
  • Tune the models to achieve high accuracy rates and minimum latency
  • Deploying developed computer vision models on edge devices after optimization to meet customer requirements

 

 

Requirements:

  • Bachelor’s degree
  • Understanding about depth and breadth of computer vision and deep learning algorithms.
  • 4+ years of industrial experience in computer vision and/or deep learning
  • Experience in taking an AI product from scratch to commercial deployment.
  • Experience in Image enhancement, object detection, image segmentation, image classification algorithms
  • Experience in deployment with OpenVINO, ONNXruntime and TensorRT
  • Experience in deploying computer vision solutions on edge devices such as Intel Movidius and Nvidia Jetson
  • Experience with any machine/deep learning frameworks like Tensorflow, and PyTorch.
  • Proficient understanding of code versioning tools, such as Git

Our perfect candidate is someone that:

  • is proactive and an independent problem solver
  • is a constant learner. We are a fast growing start-up. We want you to grow with us!
  • is a team player and good communicator

 

What We Offer:

  • You will have fun working with a fast-paced team on a product that can impact the business model of E-commerce and BFSI industries. As the team is small, you will easily be able to see a direct impact of what you build on our customers (Trust us - it is extremely fulfilling!)
  • You will be in charge of what you build and be an integral part of the product development process
  • Technical and financial growth!
Read more
Top startup of India -  News App

Top startup of India - News App

Agency job
via Jobdost by Sathish Kumar
Noida
6 - 10 yrs
₹35L - ₹65L / yr
skill iconData Science
skill iconMachine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
TensorFlow
+6 more
This will be an individual contributor role and people from Tier 1/2 and Product based company can only apply.

Requirements-

● B.Tech/Masters in Mathematics, Statistics, Computer Science or another quantitative field
● 2-3+ years of work experience in ML domain ( 2-5 years experience )
● Hands-on coding experience in Python
● Experience in machine learning techniques such as Regression, Classification,Predictive modeling, Clustering, Deep Learning stack, NLP.
● Working knowledge of Tensorflow/PyTorch
Optional Add-ons-
● Experience with distributed computing frameworks: Map/Reduce, Hadoop, Spark etc.
● Experience with databases: MongoDB
Read more
SmartJoules

at SmartJoules

1 video
9 recruiters
Saksham Dutta
Posted by Saksham Dutta
Remote, NCR (Delhi | Gurgaon | Noida)
3 - 5 yrs
₹8L - ₹12L / yr
skill iconMachine Learning (ML)
skill iconPython
Big Data
Apache Spark
skill iconDeep Learning

Responsibilities:

  • Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world.
  • Verifying data quality, and/or ensuring it via data cleaning.
  • Able to adapt and work fast in producing the output which upgrades the decision making of stakeholders using ML.
  • To design and develop Machine Learning systems and schemes. 
  • To perform statistical analysis and fine-tune models using test results.
  • To train and retrain ML systems and models as and when necessary. 
  • To deploy ML models in production and maintain the cost of cloud infrastructure.
  • To develop Machine Learning apps according to client and data scientist requirements.
  • To analyze the problem-solving capabilities and use-cases of ML algorithms and rank them by how successful they are in meeting the objective.


Technical Knowledge:


  • Worked with real time problems, solved them using ML and deep learning models deployed in real time and should have some awesome projects under his belt to showcase. 
  • Proficiency in Python and experience with working with Jupyter Framework, Google collab and cloud hosted notebooks such as AWS sagemaker, DataBricks etc.
  • Proficiency in working with libraries Sklearn, Tensorflow, Open CV2, Pyspark,  Pandas, Numpy and related libraries.
  • Expert in visualising and manipulating complex datasets.
  • Proficiency in working with visualisation libraries such as seaborn, plotly, matplotlib etc.
  • Proficiency in Linear Algebra, statistics and probability required for Machine Learning.
  • Proficiency in ML Based algorithms for example, Gradient boosting, stacked Machine learning, classification algorithms and deep learning algorithms. Need to have experience in hypertuning various models and comparing the results of algorithm performance.
  • Big data Technologies such as Hadoop stack and Spark. 
  • Basic use of clouds (VM’s example EC2).
  • Brownie points for Kubernetes and Task Queues.      
  • Strong written and verbal communications.
  • Experience working in an Agile environment.
Read more
My client is a US based Product development company.

My client is a US based Product development company.

Agency job
Remote, Noida, NCR (Delhi | Gurgaon | Noida)
8 - 15 yrs
₹30L - ₹45L / yr
skill iconData Science
Natural Language Processing (NLP)
skill iconMachine Learning (ML)
skill iconDeep Learning
Predictive modelling

Responsibilities: 

  • Identify complex business problems and work towards building analytical solutions in-order to create large business impact.
  • Demonstrate leadership through innovation in software and data products from ideation/conception through design, development and ongoing enhancement, leveraging user research techniques, traditional data tools, and techniques from the data science toolkit such as predictive modelling, NLP, statistical analysis, vector space modelling, machine learning etc.
  • Collaborate and ideate with cross-functional teams to identify strategic questions for the business that can be solved and champion the effectiveness of utilizing data, analytics, and insights to shape business.
  • Contribute to company growth efforts, increasing revenue and supporting other key business outcomes using analytics techniques.
  • Focus on driving operational efficiencies by use of data and analytics to impact cost and employee efficiency.
  • Baseline current analytics capability, ensure optimum utilization and continued advancement to stay abridge with industry developments.
  • Establish self as a strategic partner with stakeholders, focused on full innovation system and fully supportive of initiatives from early stages to activation.
  • Review stakeholder objectives and team's recommendations to ensure alignment and understanding.
  • Drive analytics thought leadership and effectively contributes towards transformational initiatives.
  • Ensure accuracy of data and deliverables of reporting employees with comprehensive policies and processes.
Read more
AI & ML Startup

AI & ML Startup

Agency job
via Unnati by Dipannita Chakraborty
NCR (Delhi | Gurgaon | Noida)
4 - 7 yrs
₹20L - ₹25L / yr
skill iconDeep Learning
skill iconMachine Learning (ML)
Algorithms
Analysis of algorithms
We are looking for passionate engineers and researchers that want to contribute in this exciting and fast moving field of Deep Learning and Research.
 
Our client is a highly awarded AI and Machine Learning lab, which is disrupting the multi billion dollar Agriculture and commodities business globally. They are recognized as a de-facto business for expert AI capability in solutions that satisfy real world challenges in near real time.
 
As the Lead Engineer - Deep Learning, you will be responsible for leading research, software implementation for new concept prototypes in the areas of computer vision and deep learning.
 
What you will do:
  • Focusing on developing new concepts and user experiences through rapid prototyping and collaboration with the best-in-class research and development team.
  • Reading research papers and implementing state-of-the-art techniques for computer vision
  • Building and managing datasets.
  • Providing Rapid experimentation, analysis, and deployment of machine/deep learning models
  • Based on requirements set by the team, helping develop new and rapid prototypes
  • Developing end to end products for problems related to agritech and other use cases
  • Leading the deep learning team



What you need to have:
  • MS/ME/PhD in Computer Science, Computer Engineering equivalent Proficient in Python and C++, CUDA a plus
  • International conference papers/Patents, Algorithm design, deep learning development, programming (Python, C/C++)
  • Knowledge of multiple deep-learning frameworks, such as Caffe, TensorFlow, Theano, Torch/PyTorch
  • Problem Solving: Deep learning development
  • Vision, perception, control, planning algorithm development
  • Track record of excellence in the machine learning / perception / control, including patents, publications to international conferences or journals.
  • Communications: Good communication skills
Read more
Oil & Energy Industry

Oil & Energy Industry

Agency job
via Green Bridge Consulting LLP by Susmita Mishra
NCR (Delhi | Gurgaon | Noida)
1 - 3 yrs
₹8L - ₹12L / yr
skill iconMachine Learning (ML)
skill iconData Science
skill iconDeep Learning
Digital Signal Processing
Statistical signal processing
+6 more
Understanding business objectives and developing models that help to achieve them,
along with metrics to track their progress
Managing available resources such as hardware, data, and personnel so that deadlines
are met
Analysing the ML algorithms that could be used to solve a given problem and ranking
them by their success probability
Exploring and visualizing data to gain an understanding of it, then identifying
differences in data distribution that could affect performance when deploying the model
in the real world
Verifying data quality, and/or ensuring it via data cleaning
Supervising the data acquisition process if more data is needed
Defining validation strategies
Defining the pre-processing or feature engineering to be done on a given dataset
Defining data augmentation pipelines
Training models and tuning their hyper parameters
Analysing the errors of the model and designing strategies to overcome them
Deploying models to production
Read more
One Labs

at One Labs

1 recruiter
Rahul Gupta
Posted by Rahul Gupta
NCR (Delhi | Gurgaon | Noida)
1 - 3 yrs
₹3L - ₹6L / yr
skill iconData Science
skill iconDeep Learning
skill iconPython
Keras
TensorFlow
+1 more

Job Description


We are looking for a data scientist that will help us to discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. 

Responsibilities

  • Selecting features, building and optimizing classifiers using machine learning techniques
  • Data mining using state-of-the-art methods
  • Extending company’s data with third party sources of information when needed
  • Enhancing data collection procedures to include information that is relevant for building analytic systems
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Doing ad-hoc analysis and presenting results in a clear manner
  • Creating automated anomaly detection systems and constant tracking of its performance

Skills and Qualifications

  • Excellent understanding of machine learning techniques and algorithms, such as Linear regression, SVM, Decision Forests, LSTM, CNN etc.
  • Experience with Deep Learning preferred.
  • Experience with common data science toolkits, such as R, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable
  • Great communication skills
  • Proficiency in using query languages such as SQL, Hive, Pig 
  • Good applied statistics skills, such as statistical testing, regression, etc.
  • Good scripting and programming skills 
  • Data-oriented personality
Read more
Number Theory

at Number Theory

3 recruiters
Tarun Gulyani
Posted by Tarun Gulyani
NCR (Delhi | Gurgaon | Noida)
1 - 7 yrs
₹20L - ₹35L / yr
skill iconDeep Learning
OpenCV
skill iconData Science
Keras
TensorFlow
+1 more
We are looking for Smart Deep learning Computer Vision Data Scientist. Phd person is preferable.
Read more
Precily Private Limited

at Precily Private Limited

5 recruiters
Ashish Gupta (Precily)
Posted by Ashish Gupta (Precily)
NCR (Delhi | Gurgaon | Noida)
2 - 7 yrs
₹4L - ₹9L / yr
skill iconDeep Learning
skill iconMachine Learning (ML)
Natural Language Processing (NLP)
Artificial Intelligence (AI)
skill iconPython
+2 more
Company Profile : Precily AI is a startup headquartered in Delhi NCR. Precily is currently working with leading consulting & law firms, research firms & technology companies. Aura (Precily AI) is a data- analysis platform for enterprises that increase the efficiency of the workforce by providing AI- based solutions. Responsibilities & Skills Required : The role requires deep knowledge in designing, planning, testing and deploying analytics solutions including the following : 1) Natural Language Processing (NLP), Neural Networks, Text Clustering, Topic Modelling, Information Extraction, Information Retrieval, Deep learning, Machine learning, cognitive science, and analytics. 2) Proven experience implementing and deploying advanced AI solutions using R/Python. 3) Apply machine learning algorithms, statistical data analysis, text clustering, summarization, extracting insights from multiple data points. 4) Excellent understanding of Analytics concepts and methodologies including machine learning (unsupervised and supervised). 5) Hand on in handling large amounts of structured and unstructured data. 6) The measure, interpret and derive learning from results of the analysis that will lead to improvements document processing. Skills Required : 1) Python, R, NLP, NLG, Machine Learning, Deep Learning & Neural Networks 2) Word Vectorizers 3) Word Embeddings ( word2vec & GloVe ) 4) RNN ( CNN vs RNN ) 5) LSTM & GRU ( LSTM vs GRU ) 6) Pretrained Embeddings ( Implementation in RNN ) 7) Unsupervised Learning 8) Supervised Learning 9) Deep Neural Networks 10) Framework: Keras/Tensor flow 11) Keras Embedding Layer output
Read more
Sagacito

at Sagacito

2 recruiters
Neha Verma
Posted by Neha Verma
NCR (Delhi | Gurgaon | Noida)
8 - 15 yrs
₹18L - ₹35L / yr
skill iconData Science
skill iconPython
skill iconMachine Learning (ML)
Natural Language Processing (NLP)
skill iconDeep Learning
•Analytics, Big Data, Machine Learning (including deep learning methods): Algorithm design, analysis and development and performance improvement o Strong understanding of statistical and predictive modeling concepts, machine-learning approaches, clustering, classification, regression techniques, and recommendation (collaborative filtering) algorithms Share CV to me at
Read more
humonics global pvt.ltd.

at humonics global pvt.ltd.

2 recruiters
vijeta sharma
Posted by vijeta sharma
NCR (Delhi | Gurgaon | Noida)
5 - 10 yrs
₹10L - ₹15L / yr
Natural Language Processing (NLP)
skill iconDeep Learning
skill iconMachine Learning (ML)
skill iconR Programming
• Using statistical and machine learning techniques to analyse large-scale user data, including text data and chat logs; • Applying machine learning techniques for text mining and information extraction based on structured, semi-structured and unstructured data; • Contributing to services like chatbots, voice portals and dialogue systems • Input your own ideas to improve existing processes on services and products
Read more
Spotmentor Technologies

at Spotmentor Technologies

4 recruiters
Arpit Goyal
Posted by Arpit Goyal
Bengaluru (Bangalore), NCR (Delhi | Gurgaon | Noida)
3 - 7 yrs
₹20L - ₹30L / yr
skill iconData Science
skill iconMachine Learning (ML)
skill iconDeep Learning
Natural Language Processing (NLP)
JOB DESCRIPTION We're looking for Head, Machine learning (3+ years experience) for our company - Spotmentor Technologies. Right now our Technology team has 5 members and this is a head team member role and carries significant equity with it. We need someone who can lead the Machine learning function with both vision and hands-on work and is excited to use this area to develop B2B products for enterprise productivity. RESPONSIBILITIES • Collaborate with cross-functional team members to develop software libraries, tools, and methodologies as critical components of our computation platforms. • Also responsible for software profiling, performance tuning and analysis, and other general software engineering tasks. • Use independent judgment to take existing code, understand its function, and change/enhance as needed. • Work as a team leader rather than a member. REQUIREMENTS • Proficient in Python with sound knowledge in the machine learning libraries namely Scikit-learn, Numpy, Pandas, NLTK etc. • Experience with Deep Learning tools like TensorFlow, Keras, PyTorch etc and integrating using open source learning platforms is required. • Prior experience in building a fully functional Machine Learning Algorithm in the text analysis and multi-class classification with promising results. • Expert data scientist with professionalism in text classification, text analytics, regression and other machine learning algorithms. • Solid grasp of mathematical principles behind machine learning algorithms. • Proficient in using version control tools (Git, Mercurial etc). • Prior experience of using big data technologies like Hadoop, Spark etc. • Semantic Web experience is a big plus. • Should be from tier 1 colleges (IIT’s / NIT’s and BITS).
Read more
Mastercard

at Mastercard

1 recruiter
Arpita Bhakhry
Posted by Arpita Bhakhry
Delhi, Gurugram, Noida
3 - 7 yrs
₹12L - ₹15L / yr
Artificial Intelligence (AI)
Artificial Neural Network (ANN)
Blockchain
skill iconDeep Learning

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
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