Machine Learning Engineer

at Zycus

DP
Posted by madhavi JR
icon
Bengaluru (Bangalore)
icon
2 - 13 yrs
icon
₹5L - ₹15L / yr
icon
Full time
Skills
Machine Learning (ML)
Natural Language Processing (NLP)
Image Processing
Artificial Intelligence (AI)
Deep Learning

We are looking for applicants with a strong background in Analytics and Data mining (Web, Social and Big data), Machine Learning and Pattern Recognition, Natural Language Processing and Computational Linguistics, Statistical Modelling and Inferencing, Information Retrieval, Large Scale Distributed Systems and Cloud Computing, Econometrics and Quantitative Marketing, Applied Game Theory and Mechanism Design, Operations Research and Optimization, Human Computer Interaction and Information Visualization. Applicants with a background in other quantitative areas are also encouraged to apply.

We are looking for someone who can create and implement AI solutions. If you have built a product like IBM WATSON in the past and not just used WATSON to build applications, this could be the perfect role for you.

All successful candidates are expected to dive deep into problem areas of Zycus’ interest and invent technology solutions to not only advance the current products, but also to generate new product options that can strategically advantage the organization.

Skills:

  • Experience in predictive modelling and predictive software development
  • Skilled in Java, C++, Perl/Python (or similar scripting language)
  • Experience in using R, Matlab, or any other statistical software
  • Experience in mentoring junior team members, and guiding them on machine learning and data modelling applications
  • Strong communication and data presentation skills
  • Classification (svm, decision tree, random forest, neural network)
  • Regression (linear, polynomial, logistic, etc)
  • Classical Optimization(gradient descent, newton raphson, etc)
  • Graph theory (network analytics)
  • Heuristic optimisation (genetic algorithm, swarm theory)
  • Deep learning (lstm, convolutional nn, recurrent nn)

Must Have:

  • Experience: 3-9 years
  • The ideal candidate must have proven expertise in Artificial Intelligence (including deep learning algorithms), Machine Learning and/or NLP
  • The candidate must also have expertise in programming traditional machine learning algorithms, algorithm design & usage
  • Preferred experience with large data sets & distributed computing in Hadoop ecosystem
  • Fluency with databases

About Zycus

Zycus was incorporated in Princeton, the U.S. in 1998. Since then, we have grown every day and established as an organization which now is a leading global provider of complete Source-to-Pay suite of procurement performance solutions. We develop cloud-based (SaaS) Source-to-Pay solutions for large global enterprises, and have successfully deployed about 200 solutions to over 1000 Global clients. Our spirit of innovation and our passion to help procurement create greater business impact is reflected among procurement solution deployments that we have undertaken over the years. We are proud to have as our clients, some of the best-of-breed companies across verticals like Manufacturing, Automotive, Banking and Finance, Oil and Gas, Food Processing, Electronics, Telecommunications, Chemicals, Health and Pharma, Education and more. With a strong workforce of 1200+ employees, we are present in India with 3 Development centers located in Bengaluru, Mumbai, and Pune. We also have our offices in 13 countries including the U.S, UK, Netherlands, Dubai, Singapore, France, Germany, Melbourne, Thailand, Sweden and Denmark. Been recognized as a leader for the 4th time in Gartner's Magic Quadrant (2018, 2017, 2015, 2013), for Strategic Sourcing Application Suites, we stand well-fortified among our peers. Zycus debuted as a leader in The Forrester Wave: eProc Q2, 2017 and was also bracketed as a leader in The Forrester Wave: Contract Life Cycle Management Q1, 2019.
Founded
1998
Type
Product
Size
500-1000 employees
Stage
Profitable
View full company details
Why apply to jobs via Cutshort
Personalized job matches
Stop wasting time. Get matched with jobs that meet your skills, aspirations and preferences.
Verified hiring teams
See actual hiring teams, find common social connections or connect with them directly. No 3rd party agencies here.
Move faster with AI
We use AI to get you faster responses, recommendations and unmatched user experience.
2101133
Matches delivered
3712187
Network size
15000
Companies hiring

Similar jobs

Senior Data Scientist

at Fintech Company

Agency job
via Jobdost
Machine Learning (ML)
Artificial Intelligence (AI)
Python
SQL
DevOps
Statistical Analysis
Amazon Web Services (AWS)
Git
Selenium
Postman
PySpark
Data Science
Natural Language Processing (NLP)
Computer Vision
icon
Bengaluru (Bangalore)
icon
6 - 8 yrs
icon
₹12L - ₹20L / yr

Purpose of Job:
Responsible to lead a team of analysts to build and deploy predictive models to infuse core
business functions with deep analytical insights. The Senior Data Scientist will also work
closely with the Kinara management team to investigate strategically important business questions.


Job Responsibilities:

Lead a team through the entire analytical and machine learning model life cycle:
 Define the problem statement
 Build and clean datasets
 Exploratory data analysis
 Feature engineering
 Apply ML algorithms and assess the performance
 Code for deployment
 Code testing and troubleshooting
 Communicate Analysis to Stakeholders
 Manage Data Analysts and Data Scientists


Qualifications:
 Education: MS/MTech/Btech graduates or equivalent with a focus on data science and
quantitative fields (CS, Engineering, Mathematics, Economics)


 Work Experience: 5+ years in a professional role with 3+ years in ML/AI
Other Requirements: ⮚ Domain knowledge in Financial Services is a big plus


Skills & Competencies
Technical Skills
⮚ Aptitude in Math and Stats
⮚ Proven experience in the use of Python, SQL, DevOps
⮚ Excellent in programming (Python), stats tools, and SQL
⮚ Working knowledge of tools and utilities - AWS, Git, Selenium, Postman,Prefect, Airflow, PySpark


Soft Skills
⮚ Deep Curiosity and Humility
⮚ Strong communications verbal and written

Job posted by
Shalaka ZawarRathi

Lead Data Analyst

at AI powered SAAS company

Agency job
via wrackle
Looker
Tableau
Data Analytics
Data Analyst
SQL
Communication Skills
Analytical Skills
Growth Hacking
Machine Learning (ML)
Project Management
Product Analytics
statistics
AB Testing
icon
Bengaluru (Bangalore)
icon
5 - 10 yrs
icon
₹20L - ₹40L / yr
Role and Responsibilities

  • Own the product analytics of bidgely’s end user-facing products, measure and identify areas of improvement through data
  • Liaise with Product Managers and Business Leaders to understand the product issues, priorities and hence support them through relevant product analytics
  • Own the automation of product analytics through good SQL knowledge
  • Develop early warning metrics for production and highlight issues and breakdowns for resolution
  • Resolve client escalations and concerns regarding key business metrics
  • Define and own execution
  • Own the Energy Efficiency program designs, dashboard development, and monitoring of existing Energy efficiency program
  • Deliver data-backed analysis and statistically proven solutions
  • Research and implement best practices
  • Mentor team of analysts

Qualifications and Education Requirements

  • B.Tech from a premier institute with 5+ years analytics experience or Full-time MBA from a premier b-school with 3+ years of experience in analytics/business or product analytics
  • Bachelor's degree in Business, Computer Science, Computer Information Systems, Engineering, Mathematics, or other business/analytical disciplines

Skills needed to excel

  • Proven analytical and quantitative skills and an ability to use data and metrics to back up assumptions, develop business cases, and complete root cause
    analyses
  • Excellent understanding of retention, churn, and acquisition of user base
  • Ability to employ statistics and anomaly detection techniques for data-driven
    analytics
  • Ability to put yourself in the shoes of the end customer and understand what
    “product excellence” means
  • Ability to rethink existing products and use analytics to identify new features and product improvements.
  • Ability to rethink existing processes and design new processes for more effective analyses
  • Strong SQL knowledge, working experience with Looker and Tableau a great plus
  • Strong commitment to quality visible in the thoroughness of analysis and techniques employed
  • Strong project management and leadership skills
  • Excellent communication (oral and written) and interpersonal skills and an ability to effectively communicate with both business and technical teams
  • Ability to coach and mentor analysts on technical and analytical skills
  • Good knowledge of statistics, basic machine learning, and AB Testing is
    preferable
  • Experience as a Growth hacker and/or in Product analytics is a big plus
Job posted by
Naveen Taalanki

Data Scientist

at Impetus Technologies

Founded 2005  •  Products & Services  •  1000-5000 employees  •  Profitable
Data Science
Pricing Strategy
Python
Predictive analytics
Pricing models
Machine Learning (ML)
icon
Bengaluru (Bangalore)
icon
4 - 8 yrs
icon
₹20L - ₹35L / yr
Looking for Data Scientist with strong expertise in Classical Machine Learning algorithms and strong expertise in SQL and Python.
Experience in Pricing models will be definite plus
Job posted by
Gangadhar T.M

Data Science

at Amagi Media Labs

Founded 2008  •  Product  •  500-1000 employees  •  Profitable
Data Science
Machine Learning (ML)
Python
SQL
Artificial Intelligence (AI)
icon
Chennai
icon
10 - 12 yrs
icon
Best in industry
Job Title: Data Science Manager
Job Location: India
Job Summary
We at CondeNast are looking for a data science manager for the content intelligence
workstream primarily, although there might be some overlap with other workstreams. The
position is based out of Chennai and shall report to the head of the data science team, Chennai
Responsibilities:
1. Ideate new opportunities within the content intelligence workstream where data Science can
be applied to increase user engagement
2. Partner with business and translate business and analytics strategies into multiple short-term
and long-term projects
3. Lead data science teams to build quick prototypes to check feasibility and value to business
and present to business
4. Formulate the business problem into an machine learning/AI problem
5. Review & validate models & help improve the accuracy of model
6. Socialize & present the model insights in a manner that business can understand
7. Lead & own the entire value chain of a project/initiative life cycle - Interface with business,
understand the requirements/specifications, gather data, prepare it, train,validate, test the
model, create business presentations to communicate insights, monitor/track the performance
of the solution and suggest improvements
8. Work closely with ML engineering teams to deploy models to production
9. Work closely with data engineering/services/BI teams to help develop data stores, intuitive
visualizations for the products
10. Setup career paths & learning goals for reportees & mentor them
Required Skills:
1. 5+ years of experience in leading Data Science & Advanced analytics projects with a focus on
building recommender systems and 10-12 years of overall experience
2. Experience in leading data science teams to implement recommender systems using content
based, collaborative filtering, embedding techniques
3. Experience in building propensity models, churn prediction, NLP - language models,
embeddings, recommendation engine etc
4. Master’s degree with an emphasis in a quantitative discipline such as statistics, engineering,
economics or mathematics/ Degree programs in data science/ machine learning/ artificial
intelligence
5. Exceptional Communication Skills - verbal and written
6. Moderate level proficiency in SQL, Python
7. Needs to have demonstrated continuous learning through external certifications, degree
programs in machine learning & artificial intelligence
8. Knowledge of Machine learning algorithms & understanding of how they work
9. Knowledge of Reinforcement Learning
Preferred Qualifications
1. Expertise in libraries for data science - pyspark(Databricks), scikit-learn, pandas, numpy,
matplotlib, pytorch/tensorflow/keras etc
2. Working Knowledge of deep learning models
3. Experience in ETL/ data engineering
4. Prior experience in e-commerce, media & publishing domain is a plus
5. Experience in digital advertising is a plus
About Condé Nast
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social
platforms - in other words, a staggering amount of user data. Condé Nast made the right move
to invest heavily in understanding this data and formed a whole new Data team entirely
dedicated to data processing, engineering, analytics, and visualization. This team helps drive
engagement, fuel process innovation, further content enrichment, and increase market
revenue. The Data team aimed to create a company culture where data was the common
language and facilitate an environment where insights shared in real-time could improve
performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London. The team
at Condé Nast Chennai works extensively with data to amplify its brands' digital capabilities and
boost online revenue. We are broadly divided into four groups, Data Intelligence, Data
Engineering, Data Science, and Operations (including Product and Marketing Ops, Client
Services) along with Data Strategy and monetization. The teams built capabilities and products
to create data-driven solutions for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create diverse
forms of self-expression. At Condé Nast, we encourage the imaginative and celebrate the
extraordinary. We are a media company for the future, with a remarkable past. We are Condé
Nast, and It Starts Here.
Job posted by
Rajesh C

NLP NLG Engineer

at Hypersonix Inc

Founded 2018  •  Product  •  100-500 employees  •  Profitable
Natural Language Processing (NLP)
Python
PyTorch
TensorFlow
icon
Bengaluru (Bangalore)
icon
2 - 7 yrs
icon
₹12L - ₹30L / yr
Hypersonix.ai is disrupting the Analytics space with AI, ML and NLP capabilities to drive real-time business insights with a conversational user experience, enabling decisioning at the speed of thought. Hypersonix.ai has been built ground up with new age technology to simplify the consumption of data for our customers in various industry verticals.

We are looking for passionate NLP engineer to join our core product team. You will work closely with a set of talented engineers, product managers, designers and data scientists to bring innovative ideas to life.

Requirements:

1. Bachelors/Masters in Computer Science
2. Must have published at least one scientific paper in NLP in any recognized conference/journal.
- Preferred if the sub-domain of publication is in conversational interfaces such as dialogue or natural language generation.
3. Prior experience in research labs (academic or corporate)
4. 1+ years experience in software development
5. Experienced in machine learning tooling such as Python, PyTorch, Tensorflow/Keras, sci-kit learn etc

Job Description:

1. Must be up-to-date with state-of-the-art research in NLP/conversational interfaces/dialogue management/natural language generation.
2. Must be able to evaluate multiple research approaches to a particular problem, perform extensive literature survey and choose the right approach.
3. Must be able to implement state-of-the-art algorithms from papers published at leading conferences.
4. Must be able to develop PoCs using state-of-the-art research papers, including implementing algorithms, identifying relevant datasets, collating datasets if not readily available, identifying biases in datasets, training, validation and testing.
4. Must follow standard software engineering practices to develop PoCs.
Job posted by
Gowshini Maheswaran

Data Scientist

at Searce Inc

Founded 2004  •  Products & Services  •  100-1000 employees  •  Profitable
Data Science
R Programming
Python
Deep Learning
Hadoop
Neural networks
Natural Language Processing (NLP)
Machine Learning (ML)
Computer Vision
TensorFlow
PyTorch
Artificial Intelligence (AI)
icon
Pune, Bengaluru (Bangalore)
icon
3 - 5 yrs
icon
₹10L - ₹15L / yr

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
Job posted by
Mishita Juneja

Director | Applied AI

at Searce Inc

Founded 2004  •  Products & Services  •  100-1000 employees  •  Profitable
Artificial Intelligence (AI)
Natural Language Processing (NLP)
Machine Learning (ML)
Deep Learning
Research and development
TensorFlow
Spark
Hadoop
Data Analytics
Data Science
Engineering Management
Django
HTML/CSS
Flask
Google Cloud Platform (GCP)
icon
Pune
icon
10 - 14 yrs
icon
₹30L - ₹35L / yr

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
Job posted by
Mishita Juneja

Senior Data Scientist (DS-II)

at Couture.ai

Founded 2017  •  Product  •  20-100 employees  •  Profitable
Deep Learning
TensorFlow
Data Science
Artificial Neural Network (ANN)
Scala
Research & Development
Machine Learning (ML)
icon
Bengaluru (Bangalore)
icon
3 - 8 yrs
icon
₹30L - ₹40L / yr
Looking for senior data science researchers.

Basic Qualifications:
∙Bachelors in Computer Science/Mathematics + Research (Machine Learning, Deep Learning, Statistics, Data Mining, Game Theory or core mathematical areas) from Tier1 tech institutes.
∙3+ years of relevant experience in building large scale machine learning or deep learning models and/or systems.
∙1 year or more of experience specifically with deep learning (CNN, RNN, LSTM, RBM etc).
∙Strong working knowledge of deep learning, machine learning, and statistics.
- Deep domain understanding of Personalization, Search and Visual.
∙Strong math skills with statistical modeling / machine learning.
∙Hands-on experience building models with deep learning frameworks like MXNet or Tensorflow.
∙Experience in using Python, statistical/machine learning libs.
∙Ability to think creatively and solve problems.
∙Data presentation skills.

Preferred:
∙MS/ Ph.D. (Machine Learning, Deep Learning, Statistics, Data Mining, Game Theory or core mathematical areas) from IISc and other Top Global Universities.
∙Or, Publications in highly accredited journals (If available, please share links to your published work.).
∙Or, history of scaling ML/Deep learning algorithm at massively large scale.
Job posted by
Shobhit Agarwal

Machine learning

at Sagacito Technologies

Founded 2016  •  Product  •  20-100 employees  •  Profitable
Machine Learning (ML)
Natural Language Processing (NLP)
Python
Data Science
icon
NCR (Delhi | Gurgaon | Noida)
icon
3 - 9 yrs
icon
₹6L - ₹18L / yr
Location: Gurgaon Role: • The person will be part of data science team. This person will be working on a close basis with the business analysts and the technology team to deliver the Data Science portion of the project and product. • Data Science contribution to a project can range between 30% to 80%. • Day to Day activities will include data exploration to solve a specific problem, researching of methods to be applied as solution, setting up ML process to be applied in context of a specific engagement/ requirement, contributing to building a DS platform, coding the solution, interacting with client on explanations, integration the DS solution with the technology solution, data cleaning and structuring etc. • Nature of work will depend on stage of a specific engagement, available engagements and individual skill At least 2-6 years of experience in: • Machine Learning (including deep learning methods): Algorithm design, analysis and development and performance improvement o Strong understanding of statistical and predictive modeling concepts, machine-learning approaches, clustering, classification, regression techniques, and recommendation (collaborative filtering) algorithms o Time Series Analysis o Optimization techniques and work experience with solvers for MILP and global optimization. • Data Science o Good experience in exploratory data analysis and feature design & development o Experience of applying and evaluating ML algorithms to practical predictive modeling scenarios in various verticals including (but not limited to) FMCG, Media, E-commerce and Hospitality. • Proficient with programming in Python (must have) & PySpark (good to have). Parallel ML algorithms design and development and usage for maximal performance on multi-core, distributed and/or GPU architectures. • Must be able to write a production ready code with reusable components and integration into data science platform. • Strong inclination to write structured code as per prevailing coding standards and best practices. • Ability to design a data science architecture for repeatability of solutions • Preparedness to manage whole cycle from data preparation to algorithm design to client presentation at individual level. • Comfort in working on AWS including managing data science AWS servers • Team player and good communication and interpersonal skills • Good experience in Natural Language Processing and its applications (Good to Have)
Job posted by
Neha Verma

Data Scientist

at Indix Internet India Pvt Ltd

Founded 2012  •  Product  •  20-100 employees  •  Raised funding
Data Science
Python
Algorithms
Data Structures
Scikit-Learn
Deep Learning
Spark
Natural Language Toolkit (NLTK)
icon
Chennai, Hyderabad
icon
3 - 7 yrs
icon
₹15L - ₹45L / yr
Software Engineer – ML at Indix provides an opportunity to design and build systems that crunch large amounts of data everyday What We’re Looking For- 3+ years of experience Ability to propose hypothesis and design experiments in the context of specific problems. Should come from a strong engineering background Good overlap with Indix Data tech stack such as Hadoop, MapReduce, HDFS, Spark, Scalding, Scala/Python/C++ Dedication and diligence in understanding the application domain, collecting/cleaning data and conducting experiments. Creativity in model and algorithm development. An obsession to develop algorithms/models that directly impact business. Master’s/Phd. in Computer Science/Statistics is a plus Job Expectations Experience working in text mining and python libraries like scikit-learn, numpy, etc Collect relevant data from production systems/Use crawling and parsing infrastructure to put together data sets. Survey academic literature and identify potential approaches for exploration. Craft, conduct and analyze experiments to evaluate models/algorithms. Communicate findings and take algorithms/models to production with end to end ownership.
Job posted by
Sri Devi
Did not find a job you were looking for?
icon
Search for relevant jobs from 10000+ companies such as Google, Amazon & Uber actively hiring on Cutshort.
Get to hear about interesting companies hiring right now
iconFollow Cutshort
Want to apply to this role at Zycus?
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