Artificial Intelligence (AI) Jobs in Pune

Required Education:

 

B.Tech./ BE - Computer, IT, Electronics only

Required Skills:

 

• 3+ years of experience in the Development of JAVA technology.
• Strong Java Basics
• SpringBoot or Spring MVC
• Hands-on experience on Relational Databases (SQL query or Hibernate) + Mongo (JSON parsing)
• Proficient in REST API development
• Messaging Queue (RabitMQ or Kafka)
• Microservices
• Any Caching Mechanism
• Good at problem-solving

 

Good to Have Skills:

 

• 4+ years of experience in using Java/J2EE tech stacks
• Good understanding of data structures and algorithms.
• Excellent analytical and problem-solving skills.
• Ability to work in a fast-paced internet start-up environment.
• Experience in technical mentorship/coaching is highly desirable.
• Understanding AI/ML algorithms is a plus.

• 3+ year of experience in Development in JAVA technology.
• Strong Java Basics
• SpringBoot or Spring MVC
• Hands on experience on Relationl Databases (SQL query or Hibernate) + Mongo (JSON parsing)
• Proficient in REST API development
• Messaging Queue (RabitMQ or Kafka)
• Microservices
• Any Caching Mechanism
• Good at problem solving

 

Good to Have Skills:

 

• 4+ years of experience in using Java/J2EE tech stacks
• Good understanding of data structures and algorithms.
• Excellent analytical and problem solving skills.
• Ability to work in a fast paced internet start-up environment.
• Experience in technical mentorship/coaching is highly desirable.
• Understanding of AI/ML algorithms is a plus.

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.

• NLU, Text, Speech, Image Processing
• Excited about Machine Learning and AI
• Want to work on a highly saleable, performance-optimized infrastructure that elastically handles customer needs
• Innovate, Design, and prototype solutions for Digital Assistant and Bots platform to handle heavy loads
• Build and maintain our platform and automation frameworks to ensure maximum uptime and predictability while preventing outages and service interruptions or degradations
• Analyze system failures and develop rapid response solutions to ensure such failures do not reoccur
• Work cross-functionally with product development, Product Management, Program Management and Cloud Infra operations teams
• Partner with Engineering to provide the infrastructure and services required to enable innovation
• Predict and provide notice of potential system vulnerabilities for current and future solutions and implementations. Provide specific recommendations and guidance to address such vulnerabilities
• Analyze, build and maintain all automation tools and processes to ensure the highest standards of reliability and robustness
• Fully understand our customer's service needs and ensure we meet these needs

Preferred Qualifications

• NLU, Text, Speech, Image Processing
• Excited about Machine Learning and AI
• Want to work on a highly saleable, performance-optimized infrastructure that elastically handles customer needs
• Innovate, Design, and prototype solutions for Digital Assistant and Bots platform to handle heavy loads
• Build and maintain our platform and automation frameworks to ensure maximum uptime and predictability while preventing outages and service interruptions or degradations
• Analyze system failures and develop rapid response solutions to ensure such failures do not reoccur
• Work cross-functionally with product development, Product Management, Program Management and Cloud Infra operations teams
• Partner with Engineering to provide the infrastructure and services required to enable innovation
• Predict and provide notice of potential system vulnerabilities for current and future solutions and implementations. Provide specific recommendations and guidance to address such vulnerabilities
• Analyze, build and maintain all automation tools and processes to ensure the highest standards of reliability and robustness
• Fully understand our customer's service needs and ensure we meet these needs
• No matter your role in our team, you will find yourself in an exciting and challenging environment where every person is empowered to show initiative, be outspoken, and be proactive and not reactive. Oracle is dedicated to the continual growth and development of its staff, striving constantly to strengthen our expertise as well as develop new skills. Our team is spread all around the world in four continents - we provide a full range of opportunities and challenges to apply your kills and grow your career in this new and exciting arena.

Job Description  : UIPath Automation + ABBYY  

Looking for a candidate with 4-6 years of experience in working on RPA and OCR related projects. Below is the detailed JD

 

1. Solid understanding of RPA and with specific work experience using UiPath RPA tool relevant experience of atleast 4 years

2. Atleast 2 years of experience on ABBYY Flexicapture tool

3. Should have atleast 2 years of development experience in implementing RPA projects with the combination of UiPath and ABBYY skills

4. Should have worked on all phases of RPA development project, right from requirements gathering [PDD, SDD] and until Go-Live and Hypercare support

5. Should have good understanding of RE framework and be certified from UiPath

6. Should have prior experience in Invoice process automation projects

7. Should have experience working with version control systems and knowledge page tools like Bitbucket and confluence.

NOTE: Candidate should work from client location.

 

No shifts but should be flexible to meet client demands

Responsible for owning the Loyalty Management Platform 
- Acting as a SME for Loyalty and Rewards for the Global Development Team.
- Interpret external requirements into Epics and Features that can be well understood by the development team, validated with acceptance criteria and acceptance tests.
- Working cross-functionally with global regional product owners to get the requirement clarification and create a roadmap for same.
-Product Manager experience in B2C product and SaaS-based B2B product across Fintech, Internet/E-Commerce,

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

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

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

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

Senior Devops Engineer

Who are we?

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 n ‘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.

Are you the one? Quick self-discovery test:

1. Love for cloud: When was the last time your dinner entailed an act on “How would ‘Jerry Seinfeld’ pitch Cloud platform & products to this prospect” and your friend did the ‘Sheldon’ version of the same thing.
2. Passion for sales: When was the last time you went at a remote gas station while on vacation, and ended up helping the gas station owner saasify his 7 gas stations across other geographies.
3. Compassion for customers: You listen more than you speak.  When you do speak, people feel the need to listen.
4. Humor for life: When was the last time you told a concerned CEO, ‘If Elon Musk can attempt to take humanity to Mars, why can’t we take your business to run on cloud ?

Introduction

When was the last time you thought about rebuilding your smart phone charger using solar panels on your backpack OR changed the sequencing of switches in your bedroom (on your own, of course) to make it more meaningful OR pointed out an engineering flaw in the sequencing of traffic signal lights to a fellow passenger, while he gave you a blank look? If the last time this happened was more than 6 months ago, you are a dinosaur for our needs. If it was less than 6 months ago, did you act on it? If yes, then let’s talk.

We are quite keen to meet you if:

• You eat, dream, sleep and play with Cloud Data Store & engineering your processes on cloud architecture
• You have an insatiable thirst for exploring improvements, optimizing processes, and motivating people.
• You like experimenting, taking risks and thinking big.

3 things this position is NOT about:

1. This is NOT just a job; this is a passionate hobby for the right kind.
2. This is NOT a boxed position. You will code, clean, test, build and recruit & energize.
3. This is NOT a position for someone who likes to be told what needs to be done.

3 things this position IS about:

1. Attention to detail matters.
2. Roles, titles, ego does not matter; getting things done matters; getting things done quicker & better matters the most.
3. Are you passionate about learning new domains & architecting solutions that could save a company millions of dollars?

Roles and Responsibilities

This is an entrepreneurial Cloud/DevOps Lead position that evolves to the Director- Cloud engineering .This position requires fanatic iterative improvement ability - architect a solution, code, research, understand customer needs, research more, rebuild and re-architect, you get the drift. We are seeking hard-core-geeks-turned-successful-techies who are interested in seeing their work used by millions of users the world over.

Responsibilities:

• Consistently strive to acquire new skills on Cloud, DevOps, Big Data, AI and ML technologies
• Design, deploy and maintain Cloud infrastructure for Clients – Domestic & International
• Develop tools and automation to make platform operations more efficient, reliable and reproducible
• Create Container Orchestration (Kubernetes, Docker), strive for full automated solutions, ensure the up-time and security of all cloud platform systems and infrastructure
• Stay up to date on relevant technologies, plug into user groups, and ensure our client are using the best techniques and tools
• Providing business, application, and technology consulting in feasibility discussions with technology team members, customers and business partners
• Take initiatives to lead, drive and solve during challenging scenarios

Requirements:

• 3 + Years of experience in Cloud Infrastructure and Operations domains
• Experience with Linux systems, RHEL/CentOS preferred
• Specialize in one or two cloud deployment platforms: AWS, GCP, Azure
• Hands on experience with AWS services (EC2, VPC, RDS, DynamoDB, Lambda)
• Experience with one or more programming languages (Python, JavaScript, Ruby, Java, .Net)
• Good understanding of Apache Web Server, Nginx, MySQL, MongoDB, Nagios
• Knowledge on Configuration Management tools such as Ansible, Terraform, Puppet, Chef
• Experience working with deployment and orchestration technologies (such as Docker, Kubernetes, Mesos)
• Deep experience in customer facing roles with a proven track record of effective verbal and written communications
• Dependable and good team player
• Desire to learn and work with new technologies

Key Success Factors

• Are you
• Likely to forget to eat, drink or pee when you are coding?
• Willing to learn, re-learn, research, break, fix, build, re-build and deliver awesome code to solve real business/consumer needs?
• An open source enthusiast?

• Absolutely technology agnostic and believe that business processes define and dictate which technology to use?
• Ability to think on your feet, and follow-up with multiple stakeholders to get things done
• Excellent interpersonal communication skills
• Superior project management and organizational skills
• Logical thought process; ability to grasp customer requirements rapidly and translate the same into technical as well as layperson terms
• Ability to anticipate potential problems, determine and implement solutions
• Energetic, disciplined, with a results-oriented approach
• Strong ethics and transparency in dealings with clients, vendors, colleagues and partners
• Attitude of ‘give me 5 sharp freshers and 6 months and I will rebuild the way people communicate over the internet.
• You are customer-centric, and feel strongly about building scalable, secure, quality software. You thrive and succeed in delivering high quality technology products in a growth environment where priorities shift fast. 

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

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

Job Description

Inside/Virtual Sales Specialist
Position – Virtual Account Manager

We are looking for a stellar Account Executive to join our team in Pune who would be
focused on the South East Asian market.
Responsibilities:
Prospect within named enterprises in South East Asia to generate pipeline
Consistently achieve license and recurring service revenue targets
Build a trusted advisor relationship with your prospects and customers
Use Simplifai’s prospecting and sales processes effectively
Ensure two-way flow of relevant and timely information
Anticipate challenges before the prospect does
Collaborate effectively with partnership, sales development, solutions consulting teams
The Candidate:

3-7 years of quantifiable, install base and new logo acquisition sales in B2B software with a strong
track record of success; experience with the full lifecycle of virtual sales from qualification, discovery
to closing
Strong willingness and ability to uncover opportunities by communicating a highly differentiated
value proposition to open doors at new accounts or expand deals at existing accounts; excellent
verbal and written communication skills with strong phone/video conference presence
Experience selling software platforms that belong to a nascent category in the Hype Cycle
Experience in account planning and opportunity management, and running a sales cycle
Experience framing value and ROI to business stakeholders
Ability to maintain an accurate CRM
Strong executive presence + interpersonal, written and presentation skills
Able to work independently and remotely from other members of your team
Outbound experience - Cold calls/emails/events etc. within prospect organizations.
Ability to identify prospect trigger/ pain with the right questions
Ability to learn to speak your prospect’s business language
Cross-cultural – you like working with many types of people across multiple geographies and
languages
Ability to learn what would make your prospect successful
The ability to teach your prospects using insights they didn’t know before
The ability to independently run a product demo
The discipline to meet your sales productivity requirements
Experience using prospecting tools - ZoomInfo, Lusha, Outreach, LinkedIn

What you will get to do:

The opportunity to script your success and growth path in a fast-growth Series A startup
Be one of the early Sales employees in the SEA region for Simplifai, with the added responsibility of
setting the strategy and leading the execution for Simplifai’s expansion in the SEA
Work with Sales and Product Marketing to develop new and leverage existing content
Work with some of the best talent from Norway and India
A deep knowledge of selling a SaaS B2B product in a category-defining company
Exposure to C-suite professionals from some of the top SaaS companies in the industry
The ability to prospect, demo, and close in a high paced environment
Full-stack learning of Sales tools
Achieve success that is directly proportional to the responsibilities you hold.

We at Deqode ( http://deqode.com/" target="_blank">deqode.com ) in this pandemic, are in the hunt for enthusiastic and imaginative developers. Someone who can think out of the box, design creative and simple solutions to complex problems.

> You need to have:

 - An analytical mind with strong logical & reasoning ability
 - Very good communication skills (verbal and written).
 - Good application development skills.
 - Strong debugging skills.
 - Should have excellent coding/Programming skills
 - A quick learning ability

 Start your Journey with us for a high growth, flying career!

> We at Deqode
 - Have flexible 5 working days
 - Work on bleeding edge technologies (Blockchain/ AI/ Deep learning/ RL/ Quantum computing).
 - Have desirable Perks.
 - Have the best Financial Pay scale in the industry.
 - Practice Democracy of thoughts.
 - Believe in working hard and party harder.

Join us and be a part of a team that breathes technology.

 Technology Stack - Mean stack/Mern Stack, Full stack, React.js, React Native, Nodejs, ROR, Angular, Python, Blockchain, AI/ ML.

> We are looking for candidates who have a thirst for gaining knowledge, are passionate about coding :)  Kindly revert back with your updated CV.

• 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

We are looking to hire passionate Java techies who will be comfortable learning and working on Java and any open source frameworks & technologies. She/he should be a 100% hands-on person on technology skills and interested in solving complex analytics use cases. We are working on a complete stack platform which has already been adopted by some very large Enterprises across the world. Candidates with prior experience of having worked in typical R&D environment and/or product based companies with dynamic work environment will be have an additional edge. We currently work on some of the latest technologies like Cassandra, Hadoop, Apache Solr, Spark and Lucene, and some core Machine Learning and AI technologies. Even though prior knowledge of these skills is not mandatory at all for selection, you would be expected to learn new skills on the job.

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.