Natural Language Processing (NLP) Jobs in Pune

Explore top Natural Language Processing (NLP) Job opportunities in Pune from Top Companies & Startups. All jobs are added by verified employees who can be contacted directly below.
icon
icon
Pune, Bengaluru (Bangalore)
icon
6 - 8 yrs
icon
₹15L - ₹25L / yr
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
Artificial Intelligence (AI)
+6 more
Company Profile
XressBees – a logistics company started in 2015 – is amongst the fastest growing companies of its sector. Our
vision to evolve into a strong full-service logistics organization reflects itself in the various lines of business like B2C
logistics 3PL, B2B Xpress, Hyperlocal and Cross border Logistics.
Our strong domain expertise and constant focus on innovation has helped us rapidly evolve as the most trusted
logistics partner of India. XB has progressively carved our way towards best-in-class technology platforms, an
extensive logistics network reach, and a seamless last mile management system.
While on this aggressive growth path, we seek to become the one-stop-shop for end-to-end logistics solutions. Our
big focus areas for the very near future include strengthening our presence as service providers of choice and
leveraging the power of technology to drive supply chain efficiencies.
Job Overview
XpressBees would enrich and scale its end-to-end logistics solutions at a high pace. This is a great opportunity to join
the team working on forming and delivering the operational strategy behind Artificial Intelligence / Machine Learning
and Data Engineering, leading projects and teams of AI Engineers collaborating with Data Scientists. In your role, you
will build high performance AI/ML solutions using groundbreaking AI/ML and BigData technologies. You will need to
understand business requirements and convert them to a solvable data science problem statement. You will be
involved in end to end AI/ML projects, starting from smaller scale POCs all the way to full scale ML pipelines in
production.
Seasoned AI/ML Engineers would own the implementation and productionzation of cutting-edge AI driven algorithmic
components for search, recommendation and insights to improve the efficiencies of the logistics supply chain and
serve the customer better.
You will apply innovative ML tools and concepts to deliver value to our teams and customers and make an impact to
the organization while solving challenging problems in the areas of AI, ML , Data Analytics and Computer Science.
Opportunities for application:
- Route Optimization
- Address / Geo-Coding Engine
- Anomaly detection, Computer Vision (e.g. loading / unloading)
- Fraud Detection (fake delivery attempts)
- Promise Recommendation Engine etc.
- Customer & Tech support solutions, e.g. chat bots.
- Breach detection / prediction
An Artificial Intelligence Engineer would apply himself/herself in the areas of -
- Deep Learning, NLP, Reinforcement Learning
- Machine Learning - Logistic Regression, Decision Trees, Random Forests, XGBoost, etc..
- Driving Optimization via LPs, MILPs, Stochastic Programs, and MDPs
- Operations Research, Supply Chain Optimization, and Data Analytics/Visualization
- Computer Vision and OCR technologies
The AI Engineering team enables internal teams to add AI capabilities to their Apps and Workflows easily via APIs
without needing to build AI expertise in each team – Decision Support, NLP, Computer Vision, for Public Clouds and
Enterprise in NLU, Vision and Conversational AI.Candidate is adept at working with large data sets to find
opportunities for product and process optimization and using models to test the effectiveness of different courses of
action. They must have knowledge using a variety of data mining/data analysis methods, using a variety of data tools,
building, and implementing models, using/creating algorithms, and creating/running simulations. They must be
comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion
for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

Roles & Responsibilities
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Building cloud services in Decision Support (Anomaly Detection, Time series forecasting, Fraud detection,
Risk prevention, Predictive analytics), computer vision, natural language processing (NLP) and speech that
work out of the box.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Build core of Artificial Intelligence and AI Services such as Decision Support, Vision, Speech, Text, NLP, NLU,
and others.
● Leverage Cloud technology –AWS, GCP, Azure
● Experiment with ML models in Python using machine learning libraries (Pytorch, Tensorflow), Big Data,
Hadoop, HBase, Spark, etc
● Work with stakeholders throughout the organization to identify opportunities for leveraging company data to
drive business solutions.
● Mine and analyze data from company databases to drive optimization and improvement of product
development, marketing techniques and business strategies.
● Assess the effectiveness and accuracy of new data sources and data gathering techniques.
● Develop custom data models and algorithms to apply to data sets.
● Use predictive modeling to increase and optimize customer experiences, supply chain metric and other
business outcomes.
● Develop company A/B testing framework and test model quality.
● Coordinate with different functional teams to implement models and monitor outcomes.
● Develop processes and tools to monitor and analyze model performance and data accuracy.
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Deliver machine learning and data science projects with data science techniques and associated libraries
such as AI/ ML or equivalent NLP (Natural Language Processing) packages. Such techniques include a good
to phenomenal understanding of statistical models, probabilistic algorithms, classification, clustering, deep
learning or related approaches as it applies to financial applications.
● The role will encourage you to learn a wide array of capabilities, toolsets and architectural patterns for
successful delivery.
What is required of you?
You will get an opportunity to build and operate a suite of massive scale, integrated data/ML platforms in a broadly
distributed, multi-tenant cloud environment.
● B.S., M.S., or Ph.D. in Computer Science, Computer Engineering
● Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc.
● Experience with building high-performance, resilient, scalable, and well-engineered systems
● Experience in CI/CD and development best practices, instrumentation, logging systems
● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
from large data sets.
● Experience working with and creating data architectures.
● Good understanding of various machine learning and natural language processing technologies, such as
classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.

● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest,
Boosting, Trees, text mining, social network analysis, etc.
● Knowledge on using web services: Redshift, S3, Spark, Digital Ocean, etc.
● Knowledge on creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Knowledge on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics,
AdWords, Crimson Hexagon, Facebook Insights, etc.
● Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Kafka etc.
● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
D3, ggplot, Tableau etc.
● Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
● Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests, and proper usage, etc.) and experience with applications.
● Experience building data pipelines that prep data for Machine learning and complete feedback loops.
● Knowledge of Machine Learning lifecycle and experience working with data scientists
● Experience with Relational databases and NoSQL databases
● Experience with workflow scheduling / orchestration such as Airflow or Oozie
● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
● Strong Data Engineering & ETL skills to build scalable data pipelines. Exposure to data streaming stack (e.g.
Kafka)
● Relevant experience in fine tuning and optimizing ML (especially Deep Learning) models to bring down
serving latency.
● Exposure to ML model productionzation stack (e.g. MLFlow, Docker)
● Excellent exploratory data analysis skills to slice & dice data at scale using SQL in Redshift/BigQuery.
Read more
icon
Pune
icon
6 - 10 yrs
icon
Best in industry
Machine Learning (ML)
Data Science
Natural Language Processing (NLP)
Python
SQL
+3 more
  • 5+ years of professional experience in experiment design and applied machine learning predicting outcomes in large-scale, complex datasets.
  • Proficiency in Python, Azure ML, or other statistics/ML tools.
  • Proficiency in Deep Neural Network, Python based frameworks.
  • Proficiency in Azure DataBricks, Hive, Spark.
  • Proficiency in deploying models into production (Azure stack).
  • Moderate coding skills. SQL or similar required. C# or other languages strongly preferred.
  • Outstanding communication and collaboration skills. You can learn from and teach others.
  • Strong drive for results. You have a proven record of shepherding experiments to create successful shipping products/services.
  • Experience with prediction in adversarial (energy) environments highly desirable.
  • Understanding of the model development ecosystem across platforms, including development, distribution, and best practices, highly desirable.
  • A Masters or Ph.D degree with coursework in Statistics, Data Science, Experimentation Design, and Machine Learning highly desirable


    In-person Interview- 24th Sept, Saturday- Pune Office

Read more
DP
Posted by Prerana Shirsat
icon
Pune
icon
4 - 15 yrs
icon
₹1L - ₹14L / yr
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
BERT
Deep Learning
+1 more
Skills/Job Description:

Location: Pune

Experience: 3+ Years

Experience applying statistical methods (distribution analysis, classification, clustering, etc.).

The individual requires excellent analytical skills required to mine data, develop algorithms and then analyze results to determine decisions or actions

At least good experience in using data science with a focus on deep neural nets, statistics, empirical data analysis, machine learning and Natural Language Processing
Solid knowledge of various statistical techniques and experience using machine learning algorithms

Ability to come up with solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets

Excellent relationship management skills with senior stakeholders is paramount
Experience in practical data processing, data mining, text mining and information retrieval tasks
Read more
DP
Posted by Kanchan Gangotri
icon
Pune, Ahmedabad
icon
3 - 8 yrs
icon
₹15L - ₹40L / yr
Machine Learning (ML)
Data Science
Natural Language Processing (NLP)
Computer Vision
TensorFlow
+3 more
Machine Learning Engineer

Location: Ahmedabad / Pune
Team: Technology

Company Profile
InFoCusp is a company working in the broad field of Computer Science, Software Engineering, and Artificial Intelligence (AI). It is headquartered in Ahmedabad, India, having a branch office in Pune.
We have worked on / are working on AI projects / algorithms-heavy projects with applications ranging in finance, healthcare, e-commerce, legal, HR/recruiting, pharmaceutical, leisure sports and computer gaming domains. All of this is based on the core concepts of data science,
computer vision, machine learning (with emphasis on deep learning), cloud computing, biomedical signal processing, text and natural language processing, distributed systems, embedded systems and Internet of Things.

PRIMARY RESPONSIBILITIES:

● Applying machine learning, deep learning, and signal processing on large datasets (Audio, sensors, images, videos, text) to develop models.
● Architecting large scale data analytics / modeling systems.
● Designing and programming machine learning methods and integrating them into our ML framework / pipeline.
● Analyzing data collected from various sources,
● Evaluate and validate the analysis with statistical methods. Also presenting this in a lucid form to people not familiar with the domain of data science / computer science.
● Writing specifications for algorithms, reports on data analysis, and documentation of algorithms.
● Evaluating new machine learning methods and adopting them for our
purposes.
● Feature engineering to add new features that improve model
performance.

KNOWLEDGE AND SKILL REQUIREMENTS:
● Background and knowledge of recent advances in machine learning, deep learning, natural language processing, and/or image/signal/video processing with at least 3 years of professional work experience working on real-world data.
● Strong programming background, e.g. Python, C/C++, R, Java, and knowledge of software engineering concepts (OOP, design patterns).
● Knowledge of machine learning libraries Tensorflow, Jax, Keras, scikit-learn, pyTorch. Excellent mathematical and skills and background, e.g. accuracy, significance tests, visualization, advanced probability concepts
● Ability to perform both independent and collaborative research.
● Excellent written and spoken communication skills.
● A proven ability to work in a cross-discipline environment in defined time frames. Knowledge and experience of deploying large-scale systems using distributed and cloud-based systems (Hadoop, Spark, Amazon EC2, Dataflow) is a big plus.
● Knowledge of systems engineering is a big plus.
● Some experience in project management and mentoring is also a big plus.

EDUCATION:
- B.E.\B. Tech\B.S. candidates' entries with significant prior experience in the aforementioned fields will be considered.
- M.E.\M.S.\M. Tech\PhD preferably in fields related to Computer Science with experience in machine learning, image and signal processing, or statistics preferred.
Read more
DP
Posted by Kanchan Gangotri
icon
Pune, Ahmedabad
icon
2 - 8 yrs
icon
₹10L - ₹30L / yr
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
TensorFlow
+4 more
Machine Learning Engineer

Location: Ahmedabad / Pune
Team: Technology

Company Profile
InFoCusp is a company working in the broad field of Computer Science, Software Engineering, and Artificial Intelligence (AI). It is headquartered in Ahmedabad, India, having a branch office in Pune.
We have worked on / are working on AI projects / algorithms-heavy projects with applications ranging in finance, healthcare, e-commerce, legal, HR/recruiting, pharmaceutical, leisure sports and computer gaming domains. All of this is based on the core concepts of data science,
computer vision, machine learning (with emphasis on deep learning), cloud computing, biomedical signal processing, text and natural language processing, distributed systems, embedded systems and the Internet of Things.

PRIMARY RESPONSIBILITIES:

● Applying machine learning, deep learning, and signal processing on large datasets (Audio, sensors, images, videos, text) to develop models.
● Architecting large scale data analytics/modeling systems.
● Designing and programming machine learning methods and integrating them into our ML framework/pipeline.
● Analyzing data collected from various sources,
● Evaluate and validate the analysis with statistical methods. Also presenting this in a lucid form to people not familiar with the domain of data science/computer science.
● Writing specifications for algorithms, reports on data analysis, and documentation of algorithms.
● Evaluating new machine learning methods and adapting them for our
purposes.
● Feature engineering to add new features that improve model
performance.

KNOWLEDGE AND SKILL REQUIREMENTS:
● Background and knowledge of recent advances in machine learning, deep learning, natural language processing, and/or image/signal/video processing with at least 3 years of professional work experience working on real-world data.
● Strong programming background, e.g. Python, C/C++, R, Java, and knowledge of software engineering concepts (OOP, design patterns).
● Knowledge of machine learning libraries Tensorflow, Jax, Keras, scikit-learn, pyTorch. Excellent mathematical skills and background, e.g. accuracy, significance tests, visualization, advanced probability concepts
● Ability to perform both independent and collaborative research.
● Excellent written and spoken communication skills.
● A proven ability to work in a cross-discipline environment in defined time frames. Knowledge and experience of deploying large-scale systems using distributed and cloud-based systems (Hadoop, Spark, Amazon EC2, Dataflow) is a big plus.
● Knowledge of systems engineering is a big plus.
● Some experience in project management and mentoring is also a big plus.

EDUCATION:
- B.E.\B. Tech\B.S. candidates' entries with significant prior experience in the aforementioned fields will be considered.
- M.E.\M.S.\M. Tech\PhD preferably in fields related to Computer Science with experience in machine learning, image and signal processing, or statistics preferred.
Read more
DP
Posted by Khushboo Saraiya
icon
Pune
icon
2 - 5 yrs
icon
₹1L - ₹10L / yr
Python
Machine Learning (ML)
Data Science
Natural Language Processing (NLP)
Computer Vision
+1 more
Job Description - 
- 2-5 years of relevant working experience

Master/Bachelor's in computer science or engineering

- Working knowledge of Python, Spark / Pyspark, SQL

- Experience working with large-scale data

- Experience in data manipulation, analytics, visualization, model building, model deployment

- Proficiency of various ML algorithms for supervised and unsupervised learning

- Experience working in Agile/Lean model

- Exposure to building large-scale ML models using one or more of modern tools and libraries such as AWS Sagemaker, Spark ML-Lib, Tensorflow, PyTorch, Keras, GCP ML Stack

- Exposure to MLOps tools such as MLflow, Airflow

- Exposure to modern Big Data tech such as Cassandra/Scylla, Snowflake, Kafka, Ceph, Hadoop

- Exposure to IAAS platforms such as AWS, GCP, Azure

- Experience with Java and Golang is a plus

- Experience with BI toolkits such as Superset, Tableau, Quicksight, etc is a plus

I- Looking for someone who can join immediately / within a month and carries experience with product development companies and dealing with streaming data. Experience working in a product development team is desirable. AWS experience is a must. Strong experience in Python and its related library is required.

Qualifications

BE / Btech Computer

Additional Information

Looking for someone from a Product development organization who can start at the earliest. Strong experience in Python and AWS experience is needed. Looking for experience ranging between 2-5 Years as a Data Scientist
Read more
icon
Remote, Noida, Gurugram, Pune
icon
5 - 9 yrs
icon
₹5L - ₹15L / yr
Machine Learning (ML)
Data Science
Natural Language Processing (NLP)
Computer Vision
TensorFlow
+6 more
We are hiring for the Machine Learning Lead in our Data Science Team.

  • Role: Machine Learning Lead
  • Experience: 5+ Years
  • Employee strength: 80+
  • Remuneration: Most competitive in the market


Programming Language:

• Advance knowledge of Python.

• Object Oriented Programming skills.

 

Conceptual:

• Mathematical understanding of machine learning and deep learning algorithms.

• Thorough grasp on statistical terminologies.

 

Applied:

• Libraries: Tensorflow, Keras, Pytorch, Statsmodels, Scikit-learn, SciPy, Numpy, Pandas, Matplotlib, Seaborn, Plotly

• Algorithms: Ensemble Algorithms, Artificial Neural Networks and Deep Learning, Clustering Algorithms, Decision Tree Algorithms, Dimensionality Reduction Algorithms, etc.

• MySQL, MongoDB, ElasticSearch or other NoSQL database implementations.

If interested kindly share your cv at tanya @tigihr. com

Read more

a global provider of Business Process Management company

Agency job
via Jobdost by Saida Jabbar
icon
Mumbai, Pune, Bengaluru (Bangalore), Gurugram, Nashik, Chennai
icon
7 - 11 yrs
icon
₹18L - ₹25L / yr
Kofax
RPAS
Machine Learning (ML)
Data Science
Statistical Analysis
+2 more

Job Description:

Role Summary:

The Robotics Process Automation Business Analyst helps define the business case for the proposed automation of the business processes by reviewing the current process, identifying the automation potential of the process, and the potential FTE takeout. The process architect working with the customer subject matter experts, and the technical architect designs the steps in the process that can be automated (with or without reengineering), and which serves as a basis for the development team to implement the robotics.

The business analyst will also review the design at the design stage, validates the developed automation to ensure it meets the intended design and the business benefits.

 

B1 – Data Scientist - Kofax Accredited Developers

 

Total Experience – 7-10 Years

Mandatory –

  • Accreditation of Kofax KTA / KTM
  • Experience in Kofax Total Agility Development – 2-3 years minimum
  • Ability to develop and translate functional requirements to design
  • Experience in requirement gathering, analysis, development, testing, documentation, version control, SDLC, Implementation and process orchestration
  • Experience in Kofax Customization, writing Custom Workflow Agents, Custom Modules, Release Scripts
  • Application development using Kofax and KTM modules
  • Good/Advance understanding of Machine Learning /NLP/ Statistics
  • Exposure to or understanding of RPA/OCR/Cognitive Capture tools like Appian/UI Path/Automation Anywhere etc
  • Excellent communication skills and collaborative attitude
  • Work with multiple teams and stakeholders , like Analytics, RPA, Technology and Project management teams
  • Good understanding of compliance, data governance and risk control processes

 

Good to have

  • Previous experience of working on Agile & Hybrid delivery environment
  • Knowledge of VB.Net, C#( C-Sharp ), SQL Server , Web services

 

Qualification -

  • Masters in Statistics/Mathematics/Economics/Econometrics Or BE/B-Tech, MCA or MBA with 15+ years of full time education

 

Read more
DP
Posted by Shantanu Harkut
icon
Pune
icon
3 - 6 yrs
icon
Best in industry
Python
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
+3 more

We are looking for a Data Scientist who is excited by the prospects of Mining Big Datasets, Deriving Actionable Insights, Building production-ready Predictive Models and have a direct impact on business. 

 

RESPONSIBILITIES:

  • Hands-on knowledge of Python for building production-ready data products.
  • Strong Statistical Analysis and Modeling skills.
  • Proven skills in Data Science, Data Mining, Machine Learning, covering the spectrum of supervised as well as unsupervised learning algorithms.
  • Ability to grasp and work with new technologies quickly.
  • Knowledge of Reinforcement Learning is a plus. 
  • Some knowledge of big data technologies like Hadoop, Apache Spark will be an added advantage

 

QUALIFICATION REQUIRED:

  • Bachelor’s or Master's degree in STEM. 
  • 3-7 years of relevant experience in applied Data Science.

 

@ ONLINESALES.AI:

  • Get a chance to work with some of the most popular big data technologies in the market
  • Build algorithms that work on web-scale data
  • Participate in every aspect of building a data-based product
  • Chance of making a dent in a multi-billion dollar digital advertising industry

 

YOU CAN BE A GREAT FIT IF YOU HAVE:

  • An analytical approach towards problem-solving
  • Experience with data extraction and management
  • Experience with R, Python for Data Analysis and Data modeling. 
  • Ability to set goals and meet deadlines in a fast-paced working environment
  • Understanding of E-Commerce and Advertising as a domain. 
  • Willingness to work for a startup.
  • Individual Contributor with a sense of Business Acumen and a hunger to make an impact.
Read more

Information Technology & Services

Agency job
via Jobdost by Sathish Kumar
icon
Remote, Pune
icon
5 - 8 yrs
icon
₹10L - ₹20L / yr
Machine Learning (ML)
Data Science
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm
Required Skills (Technical):-

1.Advanced knowledge of statistical techniques, NLP, machine learning algorithms and deep
learning
frameworks like Tensorflow, Theano, Keras, Pytorch
2. Proficiency with modern statistical modeling (regression, boosting trees, random forests,
etc.),
machine learning (text mining, neural network, NLP, etc.), optimization (linear
optimization,
nonlinear optimization, stochastic optimization, etc.) methodologies.
3. Build complex predictive models using ML and DL techniques with production quality
code and jointly
own complex data science workflows with the Data Engineering team.
4. Familiar with modern data analytics architecture and data engineering technologies
(SQL and No-SQL databases)
5. Knowledge of REST APIs and Web Services
6. Experience with Python, R, sh/bash

Required Skills (Non-Technical):-

1. Fluent in English Communication (Spoken and verbal)
2. Should be a team player
3. Should have a learning aptitude
4. Detail-oriented, analytical and inquisitive
5. Ability to work independently and with others
6. Extremely organized with strong time-management skills
7. Problem Solving & Critical Thinking
Required Experience Level :-  Senior level- 4+Years

Work Location : Pune preferred, Remote option available
Work Timing : 2:30 PM to 11:30 PM IST
Read more

Information Technology & Services

Agency job
via Jobdost by Sathish Kumar
icon
Pune
icon
2 - 4 yrs
icon
₹5L - ₹11L / yr
Machine Learning (ML)
Data Science
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm
Required Skills (Technical):-

1.Advanced knowledge of statistical techniques, NLP, machine learning algorithms and deep
learning
frameworks like Tensorflow, Theano, Keras, Pytorch
2. Proficiency with modern statistical modeling (regression, boosting trees, random forests,
etc.),
machine learning (text mining, neural network, NLP, etc.), optimization (linear
optimization,
nonlinear optimization, stochastic optimization, etc.) methodologies.
3. Build complex predictive models using ML and DL techniques with production quality
code and jointly
own complex data science workflows with the Data Engineering team.
4. Familiar with modern data analytics architecture and data engineering technologies
(SQL and No-SQL databases)
5. Knowledge of REST APIs and Web Services
6. Experience with Python, R, sh/bash

Required Skills (Non-Technical):-

1. Fluent in English Communication (Spoken and verbal)
2. Should be a team player
3. Should have a learning aptitude
4. Detail-oriented, analytical and inquisitive
5. Ability to work independently and with others
6. Extremely organized with strong time-management skills
7. Problem Solving & Critical Thinking
Required Experience Level : Junior level - 2+ years || Senior level- 4+Years
Work Location : Pune preferred, Remote option available
Work Timing : 2:30 PM to 11:30 PM IST
Read more

A global business process management company

Agency job
via Jobdost by Saida Jabbar
icon
Pune, Bengaluru (Bangalore), Chennai, Mumbai, Gurugram, Nashik
icon
5 - 10 yrs
icon
₹20L - ₹22L / yr
Data Science
Kofax
Data Scientist
Machine Learning (ML)
Natural Language Processing (NLP)
+5 more

B1 – Data Scientist  -  Kofax Accredited Developers

 

Requirement – 3

 

Mandatory –

  • Accreditation of Kofax KTA / KTM
  • Experience in Kofax Total Agility Development – 2-3 years minimum
  • Ability to develop and translate functional requirements to design
  • Experience in requirement gathering, analysis, development, testing, documentation, version control, SDLC, Implementation and process orchestration
  • Experience in Kofax Customization, writing Custom Workflow Agents, Custom Modules, Release Scripts
  • Application development using Kofax and KTM modules
  • Good/Advance understanding of Machine Learning /NLP/ Statistics
  • Exposure to or understanding of RPA/OCR/Cognitive Capture tools like Appian/UI Path/Automation Anywhere etc
  • Excellent communication skills and collaborative attitude
  • Work with multiple teams and stakeholders within like Analytics, RPA, Technology and Project management teams
  • Good understanding of compliance, data governance and risk control processes

Total Experience – 7-10 Years in BPO/KPO/ ITES/BFSI/Retail/Travel/Utilities/Service Industry

Good to have

  • Previous experience of working on Agile & Hybrid delivery environment
  • Knowledge of VB.Net, C#( C-Sharp ), SQL Server , Web services

 

Qualification -

  • Masters in Statistics/Mathematics/Economics/Econometrics Or BE/B-Tech, MCA or MBA 

 

Read more
icon
Pune
icon
1 - 5 yrs
icon
₹3L - ₹15L / yr
Machine Learning (ML)
Artificial Intelligence (AI)
Python
Data Structures
Algorithms
+17 more
 
SD (ML and AI) job description:

Advanced degree in computer science, math, statistics or a related discipline ( Must have master degree )
Extensive data modeling and data architecture skills
Programming experience in Python, R
Background in machine learning frameworks such as TensorFlow or Keras
Knowledge of Hadoop or another distributed computing systems
Experience working in an Agile environment
Advanced math skills (Linear algebra
Discrete math
Differential equations (ODEs and numerical)
Theory of statistics 1
Numerical analysis 1 (numerical linear algebra) and 2 (quadrature)
Abstract algebra
Number theory
Real analysis
Complex analysis
Intermediate analysis (point set topology)) ( important )
Strong written and verbal communications
Hands on experience on NLP and NLG
Experience in advanced statistical techniques and concepts. ( GLM/regression, Random forest, boosting, trees, text mining ) and experience with application.
 
Read more
DP
Posted by Mishita Juneja
icon
Pune
icon
8 - 10 yrs
icon
₹24L - ₹28L / yr
Data Science
Deep Learning
Artificial Intelligence (AI)
Natural Language Processing (NLP)
Python
+7 more

Who we are?

Searce is  a niche’ Cloud Consulting business with futuristic tech DNA. We do new-age tech to realise the “Next” in the “Now” for our Clients. We specialise in Cloud Data Engineering, AI/Machine Learning and Advanced Cloud infra tech such as Anthos and Kubernetes. We are one of the top & the fastest growing partners for Google Cloud and AWS globally with over 2,500 clients successfully moved to cloud.


What do we believe?

  • Best practices are overrated
      • Implementing best practices can only make one an average .
  • Honesty and Transparency
      • We believe in naked truth. We do what we tell and tell what we do.
  • Client Partnership
    • Client - Vendor relationship: No. We partner with clients instead. 
    • And our sales team comprises 100% of our clients.

How do we work ?

It’s all about being Happier first. And rest follows. Searce work culture is defined by HAPPIER.

  • Humble: Happy people don’t carry ego around. We listen to understand; not to respond.
  • Adaptable: We are comfortable with uncertainty. And we accept changes well. As that’s what life's about.
  • Positive: We are super positive about work & life in general. We love to forget and forgive. We don’t hold grudges. We don’t have time or adequate space for it.
  • Passionate: We are as passionate about the great street-food vendor across the street as about Tesla’s new model and so on. Passion is what drives us to work and makes us deliver the quality we deliver.
  • Innovative: Innovate or Die. We love to challenge the status quo.
  • Experimental: We encourage curiosity & making mistakes.
  • Responsible: Driven. Self motivated. Self governing teams. We own it.

So, what are we hunting for ?

As a Principal Data Scientist, you will help develop and enhance the algorithms and technology that powers our unique system. This role covers a wide range of challenges,

from developing new models using pre-existing components to enable current systems to

be more intelligent. You should be able to train models using existing data and use them in

most creative manner to deliver the smartest experience to customers. You will have to

develop multiple AI applications that push the threshold of intelligence in machines.


Working on multiple projects at a time, you will have to maintain a consistently high level of attention to detail while finding creative ways to provide analytical insights. You will also have to thrive in a fast, high-energy environment and should be able to balance multiple projects in real-time. The thrill of the next big challenge should drive you, and when faced with an obstacle, you should be able to find clever solutions.You must have the ability and interest to work on a range of different types of projects and business processes, and must have a background that demonstrates this ability.






Your bucket of Undertakings :

  1. Collaborate with team members to develop new models to be used for classification problems
  2. Work on software profiling, performance tuning and analysis, and other general software engineering tasks
  3. Use independent judgment to take existing data and build new models from it
  4. Collaborate and provide technical guidance and come up with new ideas,rapid prototyping and converting prototypes into scalable products
  5. Conduct experiments to assess the accuracy and recall of language processing modules and to study the effect of such experiences
  6. Lead AI R&D initiatives to include prototypes and minimum viable products
  7. Work closely with multiple teams on projects like Visual quality inspection, ML Ops, Conversational banking, Demand forecasting, Anomaly detection etc. 
  8. Build reusable and scalable solutions for use across the customer base
  9. Prototype and demonstrate AI related products and solutions for customers
  10. Assist business development teams in the expansion and enhancement of a pipeline to support short- and long-range growth plans
  11. Identify new business opportunities and prioritize pursuits for AI 
  12. Participate in long range strategic planning activities designed to meet the Company’s objectives and to increase its enterprise value and revenue goals

Education & Experience : 

  1. BE/B.Tech/Masters in a quantitative field such as CS, EE, Information sciences, Statistics, Mathematics, Economics, Operations Research, or related, with focus on applied and foundational Machine Learning , AI , NLP and/or / data-driven statistical analysis & modelling
  2. 8+ years of Experience majorly in applying AI/ML/ NLP / deep learning / data-driven statistical analysis & modelling solutions to multiple domains, including financial engineering, financial processes a plus
  3. Strong, proven programming skills and with machine learning and deep learning and Big data frameworks including TensorFlow, Caffe, Spark, Hadoop. Experience with writing complex programs and implementing custom algorithms in these and other environments
  4. Experience beyond using open source tools as-is, and writing custom code on top of, or in addition to, existing open source frameworks
  5. Proven capability in demonstrating successful advanced technology solutions (either prototypes, POCs, well-cited research publications, and/or products) using ML/AI/NLP/data science in one or more domains
  6. Research and implement novel machine learning and statistical approaches
  7. Experience in data management, data analytics middleware, platforms and infrastructure, cloud and fog computing is a plus
  8. Excellent communication skills (oral and written) to explain complex algorithms, solutions to stakeholders across multiple disciplines, and ability to work in a diverse team

Accomplishment Set: 


  1. Extensive experience with Hadoop and Machine learning algorithms
  2. Exposure to Deep Learning, Neural Networks, or related fields and a strong interest and desire to pursue them
  3. Experience in Natural Language Processing, Computer Vision, Machine Learning or Machine Intelligence (Artificial Intelligence)
  4. Passion for solving NLP problems
  5. Experience with specialized tools and project for working with natural language processing
  6. Knowledge of machine learning frameworks like Tensorflow, Pytorch
  7. Experience with software version control systems like Github
  8. Fast learner and be able to work independently as well as in a team environment with good written and verbal communication skills
Read more
icon
Pune, Bengaluru (Bangalore)
icon
5 - 8 yrs
icon
₹15L - ₹22L / yr
Data Science
Artificial Intelligence (AI)
Deep Learning
Machine Learning (ML)
Hadoop
+6 more

Senior Data Scientist - Applied AI


Who we are?

Searce is  a niche’ Cloud Consulting business with futuristic tech DNA. We do new-age tech to realise the “Next” in the “Now” for our Clients. We specialise in Cloud Data Engineering, AI/Machine Learning and Advanced Cloud infra tech such as Anthos and Kubernetes. We are one of the top & the fastest growing partners for Google Cloud and AWS globally with over 2,500 clients successfully moved to cloud.


What do we believe?

  • Best practices are overrated
      • Implementing best practices can only make one an average .
  • Honesty and Transparency
      • We believe in naked truth. We do what we tell and tell what we do.
  • Client Partnership
    • Client - Vendor relationship: No. We partner with clients instead. 
    • And our sales team comprises 100% of our clients.

How do we work ?

It’s all about being Happier first. And rest follows. Searce work culture is defined by HAPPIER.

  • Humble: Happy people don’t carry ego around. We listen to understand; not to respond.
  • Adaptable: We are comfortable with uncertainty. And we accept changes well. As that’s what life's about.
  • Positive: We are super positive about work & life in general. We love to forget and forgive. We don’t hold grudges. We don’t have time or adequate space for it.
  • Passionate: We are as passionate about the great street-food vendor across the street as about Tesla’s new model and so on. Passion is what drives us to work and makes us deliver the quality we deliver.
  • Innovative: Innovate or Die. We love to challenge the status quo.
  • Experimental: We encourage curiosity & making mistakes.
  • Responsible: Driven. Self motivated. Self governing teams. We own it.

So, what are we hunting for ?

As a Senior Data Scientist, you will help develop and enhance the algorithms and technology that powers our unique system. This role covers a wide range of challenges,

from developing new models using pre-existing components to enable current systems to

be more intelligent. You should be able to train models using existing data and use them in

most creative manner to deliver the smartest experience to customers. You will have to

develop multiple AI applications that push the threshold of intelligence in machines.


Working on multiple projects at a time, you will have to maintain a consistently high level of attention to detail while finding creative ways to provide analytical insights. You will also have to thrive in a fast, high-energy environment and should be able to balance multiple projects in real-time. The thrill of the next big challenge should drive you, and when faced with an obstacle, you should be able to find clever solutions.You must have the ability and interest to work on a range of different types of projects and business processes, and must have a background that demonstrates this ability.






Your bucket of Undertakings :

  1. Collaborate with team members to develop new models to be used for classification problems
  2. Work on software profiling, performance tuning and analysis, and other general software engineering tasks
  3. Use independent judgment to take existing data and build new models from it
  4. Collaborate and provide technical guidance and come up with new ideas,rapid prototyping and converting prototypes into scalable products
  5. Conduct experiments to assess the accuracy and recall of language processing modules and to study the effect of such experiences
  6. Lead AI R&D initiatives to include prototypes and minimum viable products
  7. Work closely with multiple teams on projects like Visual quality inspection, ML Ops, Conversational banking, Demand forecasting, Anomaly detection etc. 
  8. Build reusable and scalable solutions for use across the customer base
  9. Prototype and demonstrate AI related products and solutions for customers
  10. Assist business development teams in the expansion and enhancement of a pipeline to support short- and long-range growth plans
  11. Identify new business opportunities and prioritize pursuits for AI 
  12. Participate in long range strategic planning activities designed to meet the Company’s objectives and to increase its enterprise value and revenue goals

Education & Experience : 

  1. BE/B.Tech/Masters in a quantitative field such as CS, EE, Information sciences, Statistics, Mathematics, Economics, Operations Research, or related, with focus on applied and foundational Machine Learning , AI , NLP and/or / data-driven statistical analysis & modelling
  2. 5+ years of Experience majorly in applying AI/ML/ NLP / deep learning / data-driven statistical analysis & modelling solutions to multiple domains, including financial engineering, financial processes a plus
  3. Strong, proven programming skills and with machine learning and deep learning and Big data frameworks including TensorFlow, Caffe, Spark, Hadoop. Experience with writing complex programs and implementing custom algorithms in these and other environments
  4. Experience beyond using open source tools as-is, and writing custom code on top of, or in addition to, existing open source frameworks
  5. Proven capability in demonstrating successful advanced technology solutions (either prototypes, POCs, well-cited research publications, and/or products) using ML/AI/NLP/data science in one or more domains
  6. Research and implement novel machine learning and statistical approaches
  7. Experience in data management, data analytics middleware, platforms and infrastructure, cloud and fog computing is a plus
  8. Excellent communication skills (oral and written) to explain complex algorithms, solutions to stakeholders across multiple disciplines, and ability to work in a diverse team

Accomplishment Set: 


  1. Extensive experience with Hadoop and Machine learning algorithms
  2. Exposure to Deep Learning, Neural Networks, or related fields and a strong interest and desire to pursue them
  3. Experience in Natural Language Processing, Computer Vision, Machine Learning or Machine Intelligence (Artificial Intelligence)
  4. Passion for solving NLP problems
  5. Experience with specialized tools and project for working with natural language processing
  6. Knowledge of machine learning frameworks like Tensorflow, Pytorch
  7. Experience with software version control systems like Github
  8. Fast learner and be able to work independently as well as in a team environment with good written and verbal communication skills
Read more
DP
Posted by Mishita Juneja
icon
Pune, Bengaluru (Bangalore)
icon
3 - 5 yrs
icon
₹10L - ₹15L / yr
Data Science
R Programming
Python
Deep Learning
Hadoop
+7 more

Data Scientist - Applied AI


Who we are?

Searce is  a niche’ Cloud Consulting business with futuristic tech DNA. We do new-age tech to realise the “Next” in the “Now” for our Clients. We specialise in Cloud Data Engineering, AI/Machine Learning and Advanced Cloud infra tech such as Anthos and Kubernetes. We are one of the top & the fastest growing partners for Google Cloud and AWS globally with over 2,500 clients successfully moved to cloud.


What do we believe?

  • Best practices are overrated
      • Implementing best practices can only make one an average .
  • Honesty and Transparency
      • We believe in naked truth. We do what we tell and tell what we do.
  • Client Partnership
    • Client - Vendor relationship: No. We partner with clients instead. 
    • And our sales team comprises 100% of our clients.

How do we work ?

It’s all about being Happier first. And rest follows. Searce work culture is defined by HAPPIER.

  • Humble: Happy people don’t carry ego around. We listen to understand; not to respond.
  • Adaptable: We are comfortable with uncertainty. And we accept changes well. As that’s what life's about.
  • Positive: We are super positive about work & life in general. We love to forget and forgive. We don’t hold grudges. We don’t have time or adequate space for it.
  • Passionate: We are as passionate about the great street-food vendor across the street as about Tesla’s new model and so on. Passion is what drives us to work and makes us deliver the quality we deliver.
  • Innovative: Innovate or Die. We love to challenge the status quo.
  • Experimental: We encourage curiosity & making mistakes.
  • Responsible: Driven. Self motivated. Self governing teams. We own it.

So, what are we hunting for ?

As a Data Scientist, you will help develop and enhance the algorithms and technology that powers our unique system. This role covers a wide range of challenges,

from developing new models using pre-existing components to enable current systems to

be more intelligent. You should be able to train models using existing data and use them in

most creative manner to deliver the smartest experience to customers. You will have to

develop multiple AI applications that push the threshold of intelligence in machines.


Working on multiple projects at a time, you will have to maintain a consistently high level of attention to detail while finding creative ways to provide analytical insights. You will also have to thrive in a fast, high-energy environment and should be able to balance multiple projects in real-time. The thrill of the next big challenge should drive you, and when faced with an obstacle, you should be able to find clever solutions.You must have the ability and interest to work on a range of different types of projects and business processes, and must have a background that demonstrates this ability.






Your bucket of Undertakings :

  1. Collaborate with team members to develop new models to be used for classification problems
  2. Work on software profiling, performance tuning and analysis, and other general software engineering tasks
  3. Use independent judgment to take existing data and build new models from it
  4. Collaborate and provide technical guidance and come up with new ideas,rapid prototyping and converting prototypes into scalable products
  5. Conduct experiments to assess the accuracy and recall of language processing modules and to study the effect of such experiences
  6. Lead AI R&D initiatives to include prototypes and minimum viable products
  7. Work closely with multiple teams on projects like Visual quality inspection, ML Ops, Conversational banking, Demand forecasting, Anomaly detection etc. 
  8. Build reusable and scalable solutions for use across the customer base
  9. Prototype and demonstrate AI related products and solutions for customers
  10. Assist business development teams in the expansion and enhancement of a pipeline to support short- and long-range growth plans
  11. Identify new business opportunities and prioritize pursuits for AI 
  12. Participate in long range strategic planning activities designed to meet the Company’s objectives and to increase its enterprise value and revenue goals

Education & Experience : 

  1. BE/B.Tech/Masters in a quantitative field such as CS, EE, Information sciences, Statistics, Mathematics, Economics, Operations Research, or related, with focus on applied and foundational Machine Learning , AI , NLP and/or / data-driven statistical analysis & modelling
  2. 3+ years of Experience majorly in applying AI/ML/ NLP / deep learning / data-driven statistical analysis & modelling solutions to multiple domains, including financial engineering, financial processes a plus
  3. Strong, proven programming skills and with machine learning and deep learning and Big data frameworks including TensorFlow, Caffe, Spark, Hadoop. Experience with writing complex programs and implementing custom algorithms in these and other environments
  4. Experience beyond using open source tools as-is, and writing custom code on top of, or in addition to, existing open source frameworks
  5. Proven capability in demonstrating successful advanced technology solutions (either prototypes, POCs, well-cited research publications, and/or products) using ML/AI/NLP/data science in one or more domains
  6. Research and implement novel machine learning and statistical approaches
  7. Experience in data management, data analytics middleware, platforms and infrastructure, cloud and fog computing is a plus
  8. Excellent communication skills (oral and written) to explain complex algorithms, solutions to stakeholders across multiple disciplines, and ability to work in a diverse team

Accomplishment Set: 


  1. Extensive experience with Hadoop and Machine learning algorithms
  2. Exposure to Deep Learning, Neural Networks, or related fields and a strong interest and desire to pursue them
  3. Experience in Natural Language Processing, Computer Vision, Machine Learning or Machine Intelligence (Artificial Intelligence)
  4. Passion for solving NLP problems
  5. Experience with specialized tools and project for working with natural language processing
  6. Knowledge of machine learning frameworks like Tensorflow, Pytorch
  7. Experience with software version control systems like Github
  8. Fast learner and be able to work independently as well as in a team environment with good written and verbal communication skills
Read more
DP
Posted by Mishita Juneja
icon
Pune
icon
10 - 14 yrs
icon
₹30L - ₹35L / yr
Artificial Intelligence (AI)
Natural Language Processing (NLP)
Machine Learning (ML)
Deep Learning
Research and development
+10 more

Director - Applied AI


Who we are?

Searce is  a niche’ Cloud Consulting business with futuristic tech DNA. We do new-age tech to realise the “Next” in the “Now” for our Clients. We specialise in Cloud Data Engineering, AI/Machine Learning and Advanced Cloud infra tech such as Anthos and Kubernetes. We are one of the top & the fastest growing partners for Google Cloud and AWS globally with over 2,500 clients successfully moved to cloud.


What do we believe?

  • Best practices are overrated
      • Implementing best practices can only make one an average .
  • Honesty and Transparency
      • We believe in naked truth. We do what we tell and tell what we do.
  • Client Partnership
    • Client - Vendor relationship: No. We partner with clients instead. 
    • And our sales team comprises 100% of our clients.

How do we work ?

It’s all about being Happier first. And rest follows. Searce work culture is defined by HAPPIER.

  • Humble: Happy people don’t carry ego around. We listen to understand; not to respond.
  • Adaptable: We are comfortable with uncertainty. And we accept changes well. As that’s what life's about.
  • Positive: We are super positive about work & life in general. We love to forget and forgive. We don’t hold grudges. We don’t have time or adequate space for it.
  • Passionate: We are as passionate about the great street-food vendor across the street as about Tesla’s new model and so on. Passion is what drives us to work and makes us deliver the quality we deliver.
  • Innovative: Innovate or Die. We love to challenge the status quo.
  • Experimental: We encourage curiosity & making mistakes.
  • Responsible: Driven. Self motivated. Self governing teams. We own it.

So, what are we hunting for ?

  1. To devise strategy through the delivery of sustainable intelligent solutions, strategic customer engagements, and research and development
  2. To enable and lead our data and analytics team and develop machine learning and AI paths across strategic programs, solution implementation, and customer relationships
  3. To manage existing customers and realize new opportunities and capabilities of growth
  4. To collaborate with different stakeholders for delivering automated, high availability and secure solutions
  5. To develop talent and skills to create a high performance team that delivers superior products
  6. To communicate effectively across the organization to ensure that the team is completely aligned to business objectives
  7. To build strong interpersonal relationships with peers and other key stakeholders that will contribute to your team's success

Your bucket of Undertakings :

  1. Develop an AI roadmap aligned to client needs and vision
  2. Develop a Go-To-Market strategy of AI solutions for customers
  3. Build a diverse cross-functional team to identify and prioritize key areas of the business across AI, NLP and other cognitive solutions that will drive significant business benefit
  4. Lead AI R&D initiatives to include prototypes and minimum viable products
  5. Work closely with multiple teams on projects like Visual quality inspection, ML Ops, Conversational banking, Demand forecasting, Anomaly detection etc. 
  6. Build reusable and scalable solutions for use across the customer base
  7. Create AI white papers and enable strategic partnerships with industry leaders
  8. Align, mentor, and manage, team(s) around strategic initiatives
  9. Prototype and demonstrate AI related products and solutions for customers
  10. Establish processes, operations, measurement, and controls for end-to-end life-cycle management of the digital workforce (intelligent systems)
  11. Lead AI tech challenges and proposals with team members
  12. Assist business development teams in the expansion and enhancement of a pipeline to support short- and long-range growth plans
  13. Identify new business opportunities and prioritize pursuits for AI 

Education & Experience : 

  1. Advanced or basic degree (PhD with few years experience, or MS / BS (with many years experience)) in a quantitative field such as CS, EE, Information sciences, Statistics, Mathematics, Economics, Operations Research, or related, with focus on applied and foundational Machine Learning , AI , NLP and/or / data-driven statistical analysis & modelling
  2. 10+ years of Experience majorly in applying AI/ML/ NLP / deep learning / data-driven statistical analysis & modelling solutions to multiple domains, including financial engineering, financial processes a plus
  3. Strong, proven programming skills and with machine learning and deep learning and Big data frameworks including TensorFlow, Caffe, Spark, Hadoop. Experience with writing complex programs and implementing custom algorithms in these and other environments
  4. Experience beyond using open source tools as-is, and writing custom code on top of, or in addition to, existing open source frameworks
  5. Proven capability in demonstrating successful advanced technology solutions (either prototypes, POCs, well-cited research publications, and/or products) using ML/AI/NLP/data science in one or more domains
  6. Experience in data management, data analytics middleware, platforms and infrastructure, cloud and fog computing is a plus
  7. Excellent communication skills (oral and written) to explain complex algorithms, solutions to stakeholders across multiple disciplines, and ability to work in a diverse team
Read more

Healrthcare MNC

Agency job
via Kavayah People Consulting by Kavita Singh
icon
Pune
icon
7 - 13 yrs
icon
₹20L - ₹50L / yr
Data Science
R Programming
Python
Amazon Web Services (AWS)
Windows Azure
+3 more
Position summary
As an experienced Data Scientist you’ll join a team of data scientists, analysts, and software engineers
working to push the boundaries of data science in health care. We like to experiment, iterate, and
innovate with technology, from developing new algorithms specific to health care’s challenges, to
bringing the latest machine learning practices and applications developed in other industries into the
health care world. We know that algorithms are only valuable when powered by the right data, so we
focus on fully understanding the problems we need to solve, and truly understanding the data behind
them before launching into solutions – ensuring that the solutions we do land on are impactful and
powerful

Essential functions
• Research, conceptualize, and implement analytical approaches and predictive modeling to
evaluate scenarios, predict utilization and clinical outcomes, and recommend actions to impact
results.
• Manage and execute on the entire model development process, including scope definition,
hypothesis formation, data cleaning and preparation, feature selection, model implementation
in production, validation and iteration, using multiple data sources.
• Provide guidance on necessary data and software infrastructure capabilities to deliver a scalable
solution across partners and support the implementation of the team’s algorithms and models

• Contribute to the development and publication in major journals, conferences showcasing
 leadership in healthcare data science.
• Work closely and collaborate with Data Scientists, Machine Learning engineers, IT teams and
Business stakeholders spread out across various locations in US and India to achieve business
goals
• Provide guidance to other Data Scientist and Machine Learning Engineers
Read more

Health Care MNC

Agency job
via Kavayah People Consulting by Kavita Singh
icon
Pune
icon
12 - 24 yrs
icon
₹35L - ₹60L / yr
Data Science
Python
C++
Java
Amazon Web Services (AWS)
+1 more
The Director for Data Science will support building of AI products in Agile fashion that
empower healthcare payers, providers and members to quickly process medical data to
make informed decisions and reduce health care costs. You will be focusing on research,
development, strategy, operations, people management, and being a thought leader for
team members based out of India. You should have professional healthcare experience
using both structured and unstructured data to build applications. These applications
include but are not limited to machine learning, artificial intelligence, optical character
recognition, natural language processing, and integrating processes into the overall AI
pipeline to mine healthcare and medical information with high recall and other relevant
metrics. The results will be used dually for real-time operational processes with both
automated and human-based decision making as well as contribute to reducing
healthcare administrative costs. We work with all major cloud and big data vendors
offerings including (Azure, AWS, Google, IBM, etc.) to achieve our goals in healthcare and
support 
The Director, Data Science will have the opportunity to build a team, shape team culture
and operating norms as a result of the fast-paced nature of a new, high-growth
organization.

• Strong communication and presentation skills to convey progress to a diverse group of stakeholders
• Strong expertise in data science, data engineering, software engineering, cloud vendors, big data technologies, real-time streaming applications, DevOps and product delivery
• Experience building stakeholder trust and confidence in deployed models especially via application of the algorithmic bias, interpretable machine learning,
data integrity, data quality, reproducible research and reliable engineering 24x7x365 product availability, scalability
• Expertise in healthcare privacy, federated learning, continuous integration and deployment, DevOps support
• Provide mentoring to data scientists and machine learning engineers as well as career development
• Meet project related team members for individual specific needs on a regular basis related to project/product deliverables
• Provide training and guidance for team members when required
• Provide performance feedback when required by leadership

The Experience You’ll Need (Required):
• MS/M.Tech degree or PhD in Computer Science, Mathematics, Physics or related STEM fields
• Significant healthcare data experience including but not limited to usage of claims data
• Delivered multiple data science and machine learning projects over 8+ years with values exceeding $10 Million or more and has worked on platform members exceeding 10 million lives
• 9+ years of industry experience in data science, machine learning, and artificial intelligence
• Strong expertise in data science, data engineering, software engineering, cloud vendors, big data technologies, real time streaming applications, DevOps, and product delivery
• Knows how to solve and launch real artificial intelligence and data science related problems and products along with managing and coordinating the
business process change, IT / cloud operations, meeting production level code standards
• Ownerships of key workflows part of data science life cycle like data acquisition, data quality, and results
• Experience building stakeholder trust and confidence in deployed models especially via application of algorithmic bias, interpretable machine learning,
data integrity, data quality, reproducible research, and reliable engineering 24x7x365 product availability, scalability
• Expertise in healthcare privacy, federated learning, continuous integration and deployment, DevOps support
• 3+ Years of experience managing directly five (5) or more senior level data scientists, machine learning engineers with advanced degrees and directly
made staff decisions

• Very strong understanding of mathematical concepts including but not limited to linear algebra, advanced calculus, partial differential equations, and
statistics including Bayesian approaches at master’s degree level and above
• 6+ years of programming experience in C++ or Java or Scala and data science programming languages like Python and R including strong understanding of
concepts like data structures, algorithms, compression techniques, high performance computing, distributed computing, and various computer architecture
• Very strong understanding and experience with traditional data science approaches like sampling techniques, feature engineering, classification, and
regressions, SVM, trees, model evaluations with several projects over 3+ years
• Very strong understanding and experience in Natural Language Processing,
reasoning, and understanding, information retrieval, text mining, search, with
3+ years of hands on experience
• Experience with developing and deploying several products in production with
experience in two or more of the following languages (Python, C++, Java, Scala)
• Strong Unix/Linux background and experience with at least one of the
following cloud vendors like AWS, Azure, and Google
• Three plus (3+) years hands on experience with MapR \ Cloudera \ Databricks
Big Data platform with Spark, Hive, Kafka etc.
• Three plus (3+) years of experience with high-performance computing like
Dask, CUDA distributed GPU, TPU etc.
• Presented at major conferences and/or published materials
Read more
DP
Posted by Mishita Juneja
icon
Pune
icon
7 - 10 yrs
icon
₹20L - ₹25L / yr
Artificial Intelligence (AI)
Machine Learning (ML)
Natural Language Processing (NLP)
Deep Learning
Python
+12 more

Engineering Manager - Applied AI


Who we are?

Searce is  a niche’ Cloud Consulting business with futuristic tech DNA. We do new-age tech to realise the “Next” in the “Now” for our Clients. We specialise in Cloud Data Engineering, AI/Machine Learning and Advanced Cloud infra tech such as Anthos and Kubernetes. We are one of the top & the fastest growing partners for Google Cloud and AWS globally with over 2,500 clients successfully moved to cloud.


What do we believe?

  • Best practices are overrated
      • Implementing best practices can only make one an average .
  • Honesty and Transparency
      • We believe in naked truth. We do what we tell and tell what we do.
  • Client Partnership
    • Client - Vendor relationship: No. We partner with clients instead. 
    • And our sales team comprises 100% of our clients.

How do we work ?

It’s all about being Happier first. And rest follows. Searce work culture is defined by HAPPIER.

  • Humble: Happy people don’t carry ego around. We listen to understand; not to respond.
  • Adaptable: We are comfortable with uncertainty. And we accept changes well. As that’s what life's about.
  • Positive: We are super positive about work & life in general. We love to forget and forgive. We don’t hold grudges. We don’t have time or adequate space for it.
  • Passionate: We are as passionate about the great street-food vendor across the street as about Tesla’s new model and so on. Passion is what drives us to work and makes us deliver the quality we deliver.
  • Innovative: Innovate or Die. We love to challenge the status quo.
  • Experimental: We encourage curiosity & making mistakes.
  • Responsible: Driven. Self motivated. Self governing teams. We own it.

So, what are we hunting for ?

  1. To ensure that a high level of technical expertise and project management is provided by the team to the customers and be responsible for leading the overall implementation projects of AI solutions
  2. To recruit, build and mentor a “world class” technical team to execute projects
  3. To lead and manage the team to run day to day operations
  4. To execute basic skills such as leadership, time management, high level of technical skills, problem solving skills, and customer service expertise, and stakeholder alignment
  5. To engage with CXOs & Top Management of Enterprises to identify current challenges and issues
  6. To support sales engineering processes and work with sales and account management teams to help them win new deals by participating in prospect meetings, solution validation and formalizing the scope in a statement of work
  7. To ensure consistent team production of technical and non-technical documentation, deployment & implementation plans
  8. To work with customers and internal teams to provide alignment on project implementation guidelines and manage scope, budget and timelines
  9. To identify and execute process improvements in developing and streamlining existing policies, procedures and bring in new initiatives leading to a legendary customer experience
  10. To be part of the core team in the applied AI unit and serve as a critical advisor to the team and set up a direction and roadmap for implementation and deployment of products/services

Your bucket of Undertakings :

  1. Build a diverse cross-functional team to identify and prioritize key areas of the business across AI, NLP and other cognitive solutions that will drive significant business benefit
  2. Lead AI R&D initiatives to include prototypes and minimum viable products
  3. Work closely with multiple teams on projects like Visual quality inspection, ML Ops, Conversational banking, Demand forecasting, Anomaly detection etc. 
  4. Build reusable and scalable solutions for use across the customer base
  5. Create AI white papers and enable strategic partnerships with industry leaders
  6. Align, mentor, and manage, team(s) around strategic initiatives
  7. Prototype and demonstrate AI related products and solutions for customers
  8. Establish processes, operations, measurement, and controls for end-to-end life-cycle management of the digital workforce (intelligent systems)
  9. Assist business development teams in the expansion and enhancement of a pipeline to support short- and long-range growth plans
  10. Identify new business opportunities and prioritize pursuits for AI 
  11. Participate in long range strategic planning activities designed to meet the Company’s objectives and to increase its enterprise value and revenue goals
  12. Build a great work environment that attracts and retains elite talent
  13. Work well through ambiguity, confidence in making tough calls and leading through adversity with a sharp focus on the right outcomes


Education & Experience : 

  1. Bachelor’s  degree (in a quantitative field such as CS, EE, Information sciences, Statistics, Mathematics, Economics, Operations Research, or related, with focus on applied and foundational Machine Learning , AI , NLP and/or / data-driven statistical analysis & modelling) or equivalent required. MBA and/or advanced technical degree preferred
  2. 7+ years of Experience majorly in AI/ML/ NLP / deep learning / data-driven statistical analysis & modelling solutions to multiple domains, including financial engineering, financial processes a plus
  3. Understanding of the technologies like:
  • Python, Django, Flask
  • HTML5, CSS3, Bootstrap
  • Javascript, Backbone.js, Angular.js, Node.js, JQuery
  • RDBMS: Prior experience in Google Cloud SQL, Graph/NoSQL, Bigtable, MySQL, MSSQL
  • Google Cloud Platform - Google App Engine, GKE, Anthos
  1. Experience beyond using open source tools as-is, and writing custom code on top of, or in addition to, existing open source frameworks
  2. Ability to interact, converse and ideate with CTOs, CEOs, VPs and IT Directors
  3. Prior experience leading a technical team. You are experienced at running a team of high performing individuals, and understand how to get the most out of smart, motivated people
  4. Proven capability in demonstrating successful advanced technology solutions (either prototypes, POCs, well-cited research publications, and/or products) using ML/AI/NLP/data science in one or more domains
  5. Experience in data management, data analytics middleware, platforms and infrastructure, cloud and fog computing is a plus
  6. Excellent communication skills to explain complex algorithms, solutions to stakeholders across multiple disciplines, and ability to work in diverse teams
Read more

contract intelligence platform

Agency job
via wrackle by Naveen Taalanki
icon
Pune
icon
12 - 20 yrs
icon
₹50L - ₹100L / yr
Data Science
Natural Language Processing (NLP)
Machine Learning (ML)
Algorithms
Python
+5 more
Responsibilities
  • Partners with business stakeholders to translate business objectives into clearly defined analytical projects.
  • Identify opportunities for text analytics and NLP to enhance the core product platform, select the best machine learning techniques for the specific business problem and then build the models that solve the problem.
  • Own the end-end process, from recognizing the problem to implementing the solution.
  • Define the variables and their inter-relationships and extract the data from our data repositories, leveraging infrastructure including Cloud computing solutions and relational database environments.
  • Build predictive models that are accurate and robust and that help our customers to utilize the core platform to the maximum extent.

Skills and Qualification
  • 12 to 15 yrs of experience.
  • An advanced degree in predictive analytics, machine learning, artificial intelligence; or a degree in programming and significant experience with text analytics/NLP. He shall have a strong background in machine learning (unsupervised and supervised techniques). In particular, excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, logistic regression, MLPs, RNNs, etc.
  • Experience with text mining, parsing, and classification using state-of-the-art techniques.
  • Experience with information retrieval, Natural Language Processing, Natural Language
  • Understanding and Neural Language Modeling.
  • Ability to evaluate the quality of ML models and to define the right performance metrics for models in accordance with the requirements of the core platform.
  • Experience in the Python data science ecosystem: Pandas, NumPy, SciPy, sci-kit-learn, NLTK, Gensim, etc.
  • Excellent verbal and written communication skills, particularly possessing the ability to share technical results and recommendations to both technical and non-technical audiences.
  • Ability to perform high-level work both independently and collaboratively as a project member or leader on multiple projects.
Read more

Hiring for an MNC company

Agency job
via Response Informatics by Swagatika Sahoo
icon
Hyderabad, Bengaluru (Bangalore), Chennai, Pune
icon
5 - 7 yrs
icon
₹5L - ₹25L / yr
Natural Language Processing (NLP)
Machine Learning (ML)
Computer Vision
Deep Learning
Google Cloud Platform (GCP)
+2 more

Job roles and responsibilities:

  • Design, develop, test, deploy, maintain and improve ML models/infrastructure and software that uses these models
  • Experience writing software in one or more languages such as Python, Scala, R, or similar with strong competencies in data structures, algorithms, and software design
  • Experience working with recommendation engines, data pipelines, or distributed machine learning
  • Experience working with deep learning frameworks (such as TensorFlow, Keras, Torch, Caffe, Theano)
  • Knowledge of data analytics concepts, including bigdata, data warehouse technical architectures, ETL and reporting/analytic tools and environments
  • Participate in cutting edge research in artificial intelligence and machine learning applications
  • Contribute to engineering efforts from planning and organization to execution and delivery to solve complex, real world engineering problems
  • Working knowledge on different Algorithms and Machine Learning techniques like, Linear & Logistic Regression analysis, Segmentation, Decisions trees, Cluster analysis and factor analysis, Time Series Analysis, K-Nearest Neighbour, K-Means algorithm, Random Forests Algorithm, NLP (Natural language processing), Sentimental analysis, various Artificial Neural Networks, Convolution Neural Nets (CNN), Bidirectional Recurrent Neural Networks (BRNN)
  • Demonstrated excellent communication, presentation, and problem-solving skills

Technical Skills Required:

  • GCP Native AI/ML services like Vision, NLP, Document AI, Dialogflow, CCAI, BQ etc.,
  • Proficiency with a deep learning framework such as TensorFlow or Keras, etc.,
  • Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas, jupyter notebook
  • Expertise in visualizing and manipulating big datasets
  • Ability to select hardware to run an ML model with the required latency
  • Good to have MLOps and Kubeflow knowledge
  • GCP ML Engineer Certification
Read more
icon
Pune
icon
3 - 8 yrs
icon
₹5L - ₹30L / yr
Data Science
Machine Learning (ML)
Python
Big Data
SQL
+3 more
Job Description for Data Scientist/ NLP Engineer

Responsibilities for Data Scientist/ NLP Engineer

Work with customers to identify opportunities for leveraging their data to drive business
solutions.
• Develop custom data models and algorithms to apply to data sets.
• Basic data cleaning and annotation for any incoming raw data.
• Use predictive modeling to increase and optimize customer experiences, revenue
generation, ad targeting and other business outcomes.
• Develop company A/B testing framework and test model quality.
• Deployment of ML model in production.
Qualifications for Junior Data Scientist/ NLP Engineer

• BS, MS in Computer Science, Engineering, or related discipline.
• 3+ Years of experience in Data Science/Machine Learning.
• Experience with programming language Python.
• Familiar with at least one database query language, such as SQL
• Knowledge of Text Classification & Clustering, Question Answering & Query Understanding,
Search Indexing & Fuzzy Matching.
• Excellent written and verbal communication skills for coordinating acrossteams.
• Willing to learn and master new technologies and techniques.
• Knowledge and experience in statistical and data mining techniques:
GLM/Regression, Random Forest, Boosting, Trees, text mining, NLP, etc.
• Experience with chatbots would be bonus but not required
Read more

5 years old AI Startup

Agency job
icon
Pune
icon
2 - 6 yrs
icon
₹12L - ₹18L / yr
Data Science
Machine Learning (ML)
Python
Natural Language Processing (NLP)
Deep Learning
  •  3+ years of experience in Machine Learning
  • Bachelors/Masters in Computer Engineering/Science.
  • Bachelors/Masters in Engineering/Mathematics/Statistics with sound knowledge of programming and computer concepts.
  • 10 and 12th acedemics 70 % & above.

Skills :
 - Strong Python/ programming skills
 - Good conceptual understanding of Machine Learning/Deep Learning/Natural Language            Processing
 - Strong verbal and written communication skills.
 - Should be able to manage team, meet project deadlines and interface with clients.
 - Should be able to work across different domains and quickly ramp up the business                   processes & flows & translate business problems into the data solutions

Read more

TOP MNC

Agency job
via Econolytics by Jyotsna Econolytics
icon
Pune
icon
4 - 7 yrs
icon
₹10L - ₹25L / yr
NodeJS (Node.js)
Python
Ruby
Natural Language Processing (NLP)
Chatbox
+1 more
Looking for someone Experience working on Chatbot projects. Knowledge of Conversation platforms landscape Past experience with the Google DialogFlow tool - specifically the conversation design product Interpretation of business conversation flows and conversion of those flows into conversation configuration • Training multiple Chatbot models • Testing configured Chatbots • Understanding of deploying models to production • Good troubleshooting + problem-solving skills • Ability to Maintain growing sets of Chatbot Intents and DialogFlows
Read more
icon
Pune
icon
1 - 4 yrs
icon
₹4L - ₹7L / yr
Java
Elastic Search
Solr
Hadoop
Natural Language Processing (NLP)
  • You will be responsible for design, development and testing of Products
  • Contributing in all phases of the development lifecycle

 

  • Writing well designed, testable, efficient code
  • Ensure designs are in compliance with specifications

  • Prepare and produce releases of software components

  • Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review

  • Some of the technologies you will be working on: Core Java, Solr, Hadoop, Spark, Elastic search, Clustering, Text Mining, NLP, Mahout and Lucene etc.
Read more
icon
Pune
icon
0 - 5 yrs
icon
₹1L - ₹8L / yr
Natural Language Processing (NLP)
Machine Learning (ML)
Data Structures
Algorithms
Deep Learning
+4 more
About us
Aikon Labs Pvt Ltd is a start-up focused on Realizing Ideas. One such idea is iEngage.io , our Intelligent Engagement Platform. We leverage Augmented Intelligence, a combination of machine-driven insights & human understanding, to serve a timely response to every interaction from the people you care about.
Get in touch If you are interested. 

Do you have a passion to be a part of an innovative startup? Here’s an opportunity for you - become an active member of our core platform development team.

Main Duties
● Quickly research the latest innovations in Machine Learning, especially with respect to
Natural Language Understanding & implement them if useful
● Train models to provide different insights, mainly from text but also other media such as Audio and Video
● Validate the models trained. Fine-tune & optimise as necessary
● Deploy validated models, wrapped in a Flask server as a REST API or containerize in docker containers
● Build preprocessing pipelines for the models that are bieng served as a REST API
● Periodically, test & validate models in use. Update where necessary

Role & Relationships
We consider ourselves a team & you will be a valuable part of it. You could be reporting to a Senior member or directly to our Founder, CEO

Educational Qualifications
We don’t discriminate. As long as you have the required skill set & the right attitude

Experience
Upto two years of experience, preferably working on ML. Freshers are welcome too!

Skills
Good
● Strong understanding of Java / Python
● Clarity on concepts of Data Science
● A strong grounding in core Machine Learning
● Ability to wrangle & manipulate data into a processable form
● Knowledge of web technologies like Web server (Flask, Django etc), REST API's
Even better
● Experience with deep learning
● Experience with frameworks like Scikit-Learn, Tensorflow, Pytorch, Keras
Competencies
● Knowledge of NLP libraries such as NLTK, spacy, gensim.
● Knowledge of NLP models such as Wod2vec, Glove, ELMO, Fasttext
● An aptitude to solve problems & learn something new
● Highly self-motivated
● Analytical frame of mind
● Ability to work in fast-paced, dynamic environment

Location
Pune

Remuneration
Once we meet, we shall make an offer depending on how good a fit you are & the experience you already have
Read more
DP
Posted by Amar Navgire
icon
Pune
icon
1 - 6 yrs
icon
₹6L - ₹20L / yr
Data Science
Python
Machine Learning (ML)
Natural Language Processing (NLP)
Text mining
Innoplexus offers Data as a Service and Continuous Analytics as a Service product, leveraging Artificial Intelligence and advanced analytics to help reduce the time to market, significantly.Our products leverage proprietary algorithms and patent-pending technologies to help global Life sciences & Financial services organizations with access to relevant data, real-time intelligence & intuitive insights, across the life cycle of the products.We automate the collection, curation, aggregation, analysis & visualization, of billions of data points from thousands of data sources, using domain-specific language processing, ontologies, computer vision, machine learning, network analysis and more.Location: PuneRequired qualification MS in Computer Science, Statistics, Applied Maths or related domain.Key Responsibilities:- Use machine learning & deep learning techniques to create new, scalable solutions for business problems.- Develop NLP & computer vision-based tools and technologies for acquiring, parsing, interpreting and visualizing unstructured data- Analyze and extract relevant information from large amounts of data to help in automating the solutions and optimizing key processes.- Help the team in building large scale continual/online learning system.- Help team to build experimentation to the production pipeline.- Stay current with the latest research and technology and communicate your knowledge throughout the enterprise- Come up with patentable ideas that provide us a competitive advantage.Required Experience:- Strong track record in AI / ML publications in renowned scientific journals or conferences.- Experience in any of the following: Computer Vision, Image Processing, Speech- Recognition, Natural Language Understanding, Machine Learning, Deep Learning, HCI,- Text Mining, Computational Genomics, Bioinformatics, other Machine Intelligence/Artificial Intelligence related areas.- Programming experience in one or more of the following: C, C++, Python.
Read more
DP
Posted by Sarabjeet Singh
icon
Pune
icon
10 - 16 yrs
icon
₹10L - ₹20L / yr
Machine Learning (ML)
Python
Artificial Intelligence (AI)
Deep Learning
Natural Language Processing (NLP)
+3 more

Job Description:

Roles & Responsibilities:

· You will be involved in every part of the project lifecycle, right from identifying the business problem and proposing a solution, to data collection, cleaning, and preprocessing, to training and optimizing ML/DL models and deploying them to production.

· You will often be required to design and execute proof-of-concept projects that can demonstrate business value and build confidence with CloudMoyo’s clients.

· You will be involved in designing and delivering data visualizations that utilize the ML models to generate insights and intuitively deliver business value to CXOs.


Desired Skill Set:

· Candidates should have strong Python coding skills and be comfortable working with various ML/DL frameworks and libraries.

· Hands-on skills and industry experience in one or more of the following areas is necessary:

1)      Deep Learning (CNNs/RNNs, Reinforcement Learning, VAEs/GANs)

2)      Machine Learning (Regression, Random Forests, SVMs, K-means, ensemble methods)

3)      Natural Language Processing

4)      Graph Databases (Neo4j, Apache Giraph)

5)      Azure Bot Service

6)      Azure ML Studio / Azure Cognitive Services

7)      Log Analytics with NLP/ML/DL

· Previous experience with data visualization, C# or Azure Cloud platform and services will be a plus.

· Candidates should have excellent communication skills and be highly technical, with the ability to discuss ideas at any level from executive to developer.

· Creative problem-solving, unconventional approaches and a hacker mindset is highly desired.

Read more
DP
Posted by Yash G
icon
Pune
icon
5 - 8 yrs
icon
₹8L - ₹16L / yr
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Python
R Programming
+3 more
• Exposure to Deep Learning, Neural Networks, or related fields and a strong interest and desire to pursue them. • Experience in Natural Language Processing, Computer Vision, Machine Learning or Machine Intelligence (Artificial Intelligence). • Programming experience in Python. • Knowledge of machine learning frameworks like Tensorflow. • Experience with software version control systems like Github. • Understands the concept of Big Data like Hadoop, MongoDB, Apache Spark
Read more
DP
Posted by Sandeep Chaudhary
icon
Pune
icon
4 - 8 yrs
icon
₹1L - ₹16L / yr
Data Science
Python
Machine Learning (ML)
Natural Language Processing (NLP)
Big Data
+2 more
Description Must have Direct Hands- on, 4 years of experience, building complex Data Science solutions Must have fundamental knowledge of Inferential Statistics Should have worked on Predictive Modelling, using Python / R Experience should include the following, File I/ O, Data Harmonization, Data Exploration Machine Learning Techniques (Supervised, Unsupervised) Multi- Dimensional Array Processing Deep Learning NLP, Image Processing Prior experience in Healthcare Domain, is a plus Experience using Big Data, is a plus Should have Excellent Analytical, Problem Solving ability. Should be able to grasp new concepts quickly Should be well familiar with Agile Project Management Methodology Should have excellent written and verbal communication skills Should be a team player with open mind
Read more
icon
Pune
icon
2 - 10 yrs
icon
₹15L - ₹60L / yr
Natural Language Processing (NLP)
TensorFlow
Deep Learning
Artificial Neural Network (ANN)
Artificial Intelligence (AI)
+1 more
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.
Read more
DP
Posted by Sunil Chandurkar
icon
Pune
icon
2 - 7 yrs
icon
₹8L - ₹40L / yr
Python
TensorFlow
Natural Language Processing (NLP)
Natural Language Toolkit (NLTK)
We are at Mezi building an AI-enabled chat-bot to bring online travel booking experience better. We are acquired by American Express in the month of January. As we are changing many major changes in our platform to scale and match Amex user's volume (in millions), our platform is going through some bigger changes. We are looking for IITian or NITian or exceptionally talented engineers with great experience of building high volume platform preferably in Python. Someone, who understand what is performance, what is scale and what is "platform"? You must have an end to end product development experience preferably in startup(s) OR at least product development companies. If you are working in services industry or banking or insurance domain, they Mezi may not be the right place for seeking any opportunity. You should have minimum 2years of experience or maximum 7 years. Compensation is not an issue with us for the right talent. You should be a coder and willing to code every day. You should be a great problem solver with a keen interest in writing optimistic algorithms. Please send your resume to [email protected] in case you are interested. Job location is Pune and ZERO travel to abroad, although our headquarter is in Sunnyvale, California. Thanks
Read more
Get to hear about interesting companies hiring right now
iconFollow Cutshort
Why apply via Cutshort?
Connect with actual hiring teams and get their fast response. No spam.
Learn more
Get to hear about interesting companies hiring right now
iconFollow Cutshort