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
DP
Posted by Vineet A
Pune
3 - 7 yrs
₹10L - ₹25L / yr
Python
NumPy
PyTorch
Machine Learning (ML)
Data Science
+3 more

Graas uses predictive AI to turbo-charge growth for eCommerce businesses. We are “Growth-as-a-Service”. Graas is a technology solution provider using predictive AI to turbo-charge growth for eCommerce businesses. Graas integrates traditional data silos and applies a machine-learning AI engine, acting as an in-house data scientist to predict trends and give real-time insights and actionable recommendations for brands. The platform can also turn insights into action by seamlessly executing these recommendations across marketplace store fronts, brand.coms, social and conversational commerce, performance marketing, inventory management, warehousing, and last mile logistics - all of which impacts a brand’s bottom line, driving profitable growth.

 

Location – Pune

Job Responsibilities

  • Work closely with data scientists and data analysts to build models and continuous data monitoring workflows.
  • Implement algorithms / models within companies recommendation engine framework.
  • Own the MLOps life-cycle; build and own ML model life-cycle management process encompassing coding to building robust model monitoring workflows.
  • Consult with product and business teams to build prototypes and then deploy holistic machine learning solutions.
  • Recommend and implement architecture to deploy machine learning pipelines and CI/CD processes at scale

Skills Needed

  • Minimum 3 years of experience as Machine Learning Engineer
  • Knowledge of machine learning and statistics
  • Strong experience working in the areas of time series analysis, reinforcement learning, NLP, optimization and heuristics based implementation to solve real-world problems
  • Experienced in architecting solutions with Continuous Integration and Continuous Delivery in mind
  • Strong knowledge of coding in Python and libraries such as Pandas, Numpy, Scikit-Learn, PyTorch, etc.
  • Experience handling Big Data leveraging technologies like Snowflake, Spark. Ability to work in a big data ecosystem - expert in SQL and ability to work in distributed databases.
  • Able to refactor data science code and has collaborated with data scientists in developing ML solutions.
  • Experience playing the role of full-stack data scientist and taking solutions to production.
  • Educational qualifications should be preferably in Computer Science, Statistics, Engineering or a related area.
Read more
DP
Posted by Sharon Joseph
Bengaluru (Bangalore), Gurugram, Chennai, Pune
7 - 10 yrs
Best in industry
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
Python
+1 more

Job Summary

As a Data Science Lead, you will manage multiple consulting projects of varying complexity and ensure on-time and on-budget delivery for clients. You will lead a team of data scientists and collaborate across cross-functional groups, while contributing to new business development, supporting strategic business decisions and maintaining & strengthening client base

  1. Work with team to define business requirements, come up with analytical solution and deliver the solution with specific focus on Big Picture to drive robustness of the solution
  2. Work with teams of smart collaborators. Be responsible for their appraisals and career development.
  3. Participate and lead executive presentations with client leadership stakeholders.
  4. Be part of an inclusive and open environment. A culture where making mistakes and learning from them is part of life
  5. See how your work contributes to building an organization and be able to drive Org level initiatives that will challenge and grow your capabilities.

​​​​​​Role & Responsibilities

  1. Serve as expert in Data Science, build framework to develop Production level DS/AI models.
  2. Apply AI research and ML models to accelerate business innovation and solve impactful business problems for our clients.
  3. Lead multiple teams across clients ensuring quality and timely outcomes on all projects.
  4. Lead and manage the onsite-offshore relation, at the same time adding value to the client.
  5. Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions.
  6. Build a winning team focused on client success. Help team members build lasting career in data science and create a constant learning/development environment.
  7. Present results, insights, and recommendations to senior management with an emphasis on the business impact.
  8. Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization.
  9. Lead or contribute to org level initiatives to build the Tredence of tomorrow.

 

Qualification & Experience

  1. Bachelor's /Master's /PhD degree in a quantitative field (CS, Machine learning, Mathematics, Statistics, Data Science) or equivalent experience.
  2. 6-10+ years of experience in data science, building hands-on ML models
  3. Expertise in ML – Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning.
  4. Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support Vector Machines ANOVA , Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, Transformers.
  5. Knowledge of programming languages SQL, Python/ R, Spark.
  6. Expertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch).
  7. Experience with cloud computing services (AWS, GCP or Azure)
  8. Expert in Statistical Modelling & Algorithms E.g. Hypothesis testing, Sample size estimation, A/B testing
  9. Knowledge in Mathematical programming – Linear Programming, Mixed Integer Programming etc , Stochastic Modelling – Markov chains, Monte Carlo, Stochastic Simulation, Queuing Models.
  10. Experience with Optimization Solvers (Gurobi, Cplex) and Algebraic programming Languages(PulP)
  11. Knowledge in GPU code optimization, Spark MLlib Optimization.
  12. Familiarity to deploy and monitor ML models in production, delivering data products to end-users.
  13. Experience with ML CI/CD pipelines.
Read more
DP
Posted by Suchismita Das
Bengaluru (Bangalore), Gurugram, Chennai, Pune
8 - 10 yrs
Best in industry
Machine Learning (ML)
Data Science
Natural Language Processing (NLP)
R Programming
SQL
+1 more

THE IDEAL CANDIDATE WILL

 

  • Engage with executive level stakeholders from client's team to translate business problems to high level solution approach
  • Partner closely with practice, and technical teams to craft well-structured comprehensive proposals/ RFP responses clearly highlighting Tredence’s competitive strengths relevant to Client's selection criteria
  • Actively explore the client’s business and formulate solution ideas that can improve process efficiency and cut cost, or achieve growth/revenue/profitability targets faster
  • Work hands-on across various MLOps problems and provide thought leadership
  • Grow and manage large teams with diverse skillsets
  • Collaborate, coach, and learn with a growing team of experienced Machine Learning Engineers and Data Scientists

 

 

 

ELIGIBILITY CRITERIA

 

  • BE/BTech/MTech (Specialization/courses in ML/DS)
  • At-least 7+ years of Consulting services delivery experience
  • Very strong problem-solving skills & work ethics
  • Possesses strong analytical/logical thinking, storyboarding and executive communication skills
  • 5+ years of experience in Python/R, SQL
  • 5+ years of experience in NLP algorithms, Regression & Classification Modelling, Time Series Forecasting
  • Hands on work experience in DevOps
  • Should have good knowledge in different deployment type like PaaS, SaaS, IaaS
  • Exposure on cloud technologies like Azure, AWS or GCP
  • Knowledge in python and packages for data analysis (scikit-learn, scipy, numpy, pandas, matplotlib).
  • Knowledge of Deep Learning frameworks: Keras, Tensorflow, PyTorch, etc
  • Experience with one or more Container-ecosystem (Docker, Kubernetes)
  • Experience in building orchestration pipeline to convert plain python models into a deployable API/RESTful endpoint.
  • Good understanding of OOP & Data Structures concepts

 

 

Nice to Have:

 

  • Exposure to deployment strategies like: Blue/Green, Canary, AB Testing, Multi-arm Bandit
  • Experience in Helm is a plus
  • Strong understanding of data infrastructure, data warehouse, or data engineering

 

You can expect to –

  • Work with world’ biggest retailers and help them solve some of their most critical problems. Tredence is a preferred analytics vendor for some of the largest Retailers across the globe
  • Create multi-million Dollar business opportunities by leveraging impact mindset, cutting edge solutions and industry best practices.
  • Work in a diverse environment that keeps evolving
  • Hone your entrepreneurial skills as you contribute to growth of the organization

 

 

Read more
Bengaluru (Bangalore), Chennai, Gurugram, Pune
5 - 8 yrs
₹20L - ₹28L / yr
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm
Roles and Responsibilities:
As an Associate Manager - Senior Data scientist you will solve some of the most impactful business problems for our clients using a variety of AI and ML technologies. You will collaborate with business partners and domain experts to design and develop innovative solutions on the data to achieve
predefined outcomes.

• Engage with clients to understand current and future business goals and translate business
problems into analytical frameworks
• Develop custom models based on an in-depth understanding of underlying data, data structures,
and business problems to ensure deliverables meet client needs
• Create repeatable, interpretable and scalable models
• Effectively communicate the analytics approach and insights to a larger business audience
• Collaborate with team members, peers and leadership at Tredence and client companies

Qualification:
1. Bachelor's or Master's degree in a quantitative field (CS, machine learning, mathematics,
statistics) or equivalent experience.
2. 5+ years of experience in data science, building hands-on ML models
3. Experience leading the end-to-end design, development, and deployment of predictive
modeling solutions.
4. Excellent programming skills in Python. Strong working knowledge of Python’s numerical, data
analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, Jupyter, etc.
5. Advanced SQL skills with SQL Server and Spark experience.
6. Knowledge of predictive/prescriptive analytics including Machine Learning algorithms
(Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks
7. Experience with Natural Language Processing (NLTK) and text analytics for information
extraction, parsing and topic modeling.
8. Excellent verbal and written communication. Strong troubleshooting and problem-solving skills.
Thrive in a fast-paced, innovative environment
9. Experience with data visualization tools — PowerBI, Tableau, R Shiny, etc. preferred
10. Experience with cloud platforms such as Azure, AWS is preferred but not required
Read more
Pune, Bengaluru (Bangalore)
6 - 8 yrs
₹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

at GeniaTEQ

1 recruiter
DP
Posted by Prerana Shirsat
Pune
4 - 15 yrs
₹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

at InFoCusp

3 recruiters
DP
Posted by Kanchan Gangotri
Pune, Ahmedabad
3 - 8 yrs
₹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

at InFoCusp

3 recruiters
DP
Posted by Kanchan Gangotri
Pune, Ahmedabad
2 - 8 yrs
₹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

a global provider of Business Process Management company

Agency job
via Jobdost by Saida Jabbar
Mumbai, Pune, Bengaluru (Bangalore), Gurugram, Nashik, Chennai
7 - 11 yrs
₹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

at OnlineSales.ai

2 recruiters
DP
Posted by Shantanu Harkut
Pune
3 - 6 yrs
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
Remote, Pune
5 - 8 yrs
₹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
Pune
2 - 4 yrs
₹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
Pune, Bengaluru (Bangalore), Chennai, Mumbai, Gurugram, Nashik
5 - 10 yrs
₹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

at The other Fruit

1 video
3 recruiters
DP
Posted by Dipendra SIngh
Pune
1 - 5 yrs
₹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

Healrthcare MNC

Agency job
via Kavayah People Consulting by Kavita Singh
Pune
7 - 13 yrs
₹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
Pune
12 - 24 yrs
₹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

contract intelligence platform

Agency job
via wrackle by Naveen Taalanki
Pune
12 - 20 yrs
₹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
Hyderabad, Bengaluru (Bangalore), Chennai, Pune
5 - 7 yrs
₹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
DP
Posted by Vipul Tiwari
Pune
3 - 8 yrs
₹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
Pune
2 - 6 yrs
₹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
Pune
4 - 7 yrs
₹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
DP
Posted by Saujanya Sathe
Pune
1 - 4 yrs
₹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

at Aikon Labs Private Limited

1 video
7 recruiters
DP
Posted by Shankar K
Pune
0 - 5 yrs
₹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

at Innoplexus

4 recruiters
DP
Posted by Amar Navgire
Pune
1 - 6 yrs
₹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

at CloudMoyo

3 recruiters
DP
Posted by Sarabjeet Singh
Pune
10 - 16 yrs
₹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

at Atyeti Inc

3 recruiters
DP
Posted by Yash G
Pune
5 - 8 yrs
₹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

at Saama Technologies

6 recruiters
DP
Posted by Sandeep Chaudhary
Pune
4 - 8 yrs
₹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
Pune
2 - 10 yrs
₹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
Pune
2 - 7 yrs
₹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