Cutshort logo
Natural Language Processing (NLP) Jobs in Chennai

23+ Natural Language Processing (NLP) Jobs in Chennai | Natural Language Processing (NLP) Job openings in Chennai

Apply to 23+ Natural Language Processing (NLP) Jobs in Chennai on CutShort.io. Explore the latest Natural Language Processing (NLP) Job opportunities across top companies like Google, Amazon & Adobe.

icon
Tier #1 MNC
Chennai, Bengaluru (Bangalore), Pune, Hyderabad, Delhi, Gurugram, Noida, Ghaziabad, Faridabad, Mumbai, Coimbatore, Kochi (Cochin)
4 - 10 yrs
Best in industry
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
Deep Learning

Job Description:

 

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

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

b. Improve Model accuracy to deliver greater business impact

c.Estimate business impact due to deployment of model


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


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


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


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

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

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

c.Knowledge of State of the art Deep learning algorithms


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


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


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

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

b.Build CI/CD pipelines for ML model deployment


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


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

 

 

· Technology/Subject Matter Expertise

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

 

· Softskills Profile

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

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

 

 

· Desirable Experience:

  • Keen contributor to open source communities, and communities like Kaggle
  • Ability to process Huge amount of Data using Pyspark/Hadoop
  • Development & Application of Reinforcement Learning
  • Knowledge of Optimization/Genetic Algorithms
  • Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios
  • Optimize and tune deep learning model for best possible accuracy
  • Understanding of stream data processing, RPA, edge computing, AR/VR etc
  • Appreciation of digital ethics, data privacy will be important
  • Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus
  • Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus
Read more
Chennai
5 - 10 yrs
₹10L - ₹15L / yr
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm

Position: Manager/Head- Data Scientist/Machine Learning Engineer

  • Algorithm Development: Develop cutting-edge algorithms and predictive models to enhance customer experience, optimize inventory management, and drive sales growth
  • AI/ML Model Building: Utilize expertise in data science and machine learning to create scalable AI models specifically tailored for both online platforms and brick-and-mortar stores, aiming to improve operational efficiency and customer engagement.
  • Ecommerce Optimization: Collaborate with cross-functional teams to implement data-driven solutions for personalized recommendations, demand forecasting, and dynamic pricing strategies to drive online sales and enhance customer satisfaction.
  • Deep Learning & Image Recognition: Leverage advanced techniques in deep learning and image recognition to develop innovative solutions for product categorization, visual search, and inventory tracking, optimizing product discovery and inventory management.
  • Python Development: Proficiency in Python programming is essential for designing, implementing, and maintaining robust and scalable machine learning pipelines and models, ensuring efficient deployment and integration into existing systems.

Qualifications and Experience:

 

  • Bachelor’s/Master’s degree in Computer Science, Data Science, Statistics, or related fields.
  • 3 to 4 years of hands-on experience in data science, machine learning, and deep learning, preferably within the ecommerce or retail sector.
  • Proven track record of successful implementation of AI/ML models with tangible business impact.
  • Strong proficiency in Python, along with familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
  • Experience working with image data, including feature extraction, object detection, and classification.
  • Excellent problem-solving skills, ability to work independently, and communicate complex technical concepts effectively to diverse stakeholders.


Read more
Tiger Analytics
Bengaluru (Bangalore), Chennai, Hyderabad
2 - 5 yrs
₹2L - ₹10L / yr
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm

Job brief

We are looking for a Lead Data Scientist to lead a technical team and help us gain

useful insight out of raw data.


Lead Data Scientist responsibilities include managing the data science team, planning

projects and building analytics models. You should have a strong problem-solving ability

and a knack for statistical analysis. If you’re also able to align our data products with our

business goals, we’d like to meet you.


Your ultimate goal will be to help improve our products and business decisions by

making the most out of our data.


Responsibilities

● Conceive, plan and prioritize data projects

● Ensure data quality and integrity

● Interpret and analyze data problems

● Build analytic systems and predictive models

● Align data projects with organizational goals

● Lead data mining and collection procedures

● Test performance of data-driven products

● Visualize data and create reports

● Build and manage a team of data scientists and data engineers


Requirements

● Proven experience as a Data Scientist or similar role

● Solid understanding of machine learning

● Knowledge of data management and visualization techniques

● A knack for statistical analysis and predictive modeling

● Good knowledge of R, Python and MATLAB

● Experience with SQL and NoSQL databases

● Strong organizational and leadership skills

● Excellent communication skills

● A business mindset

● Degree in Computer Science, Data Science, Mathematics or similar field


● Familiar with emerging/cutting edge, open source, data science/machine learning

libraries/big data platforms

Read more
Fintech lead,
Agency job
via The Hub by Sridevi Viswanathan
Chennai
4 - 7 yrs
₹15L - ₹35L / yr
BERT
Machine Learning (ML)
Natural Language Processing (NLP)
Data Science
Python
  • A Natural Language Processing (NLP) expert with strong computer science fundamentals and experience in working with deep learning frameworks. You will be working at the cutting edge of NLP and Machine Learning.

Roles and Responsibilities

 

  • Work as part of a distributed team to research, build and deploy Machine Learning models for NLP.
  • Mentor and coach other team members
  • Evaluate the performance of NLP models and ideate on how they can be improved
  • Support internal and external NLP-facing APIs
  • Keep up to date on current research around NLP, Machine Learning and Deep Learning

Mandatory Requirements

 

  • Any graduation with at least 2 years of demonstrated experience as a Data Scientist.

Behavioral Skills

 

Strong analytical and problem-solving capabilities.

  • Proven ability to multi-task and deliver results within tight time frames
  • Must have strong verbal and written communication skills
  • Strong listening skills and eagerness to learn
  • Strong attention to detail and the ability to work efficiently in a team as well as individually

Technical Skills

 

Hands-on experience with

 

  • NLP
  • Deep Learning
  • Machine Learning
  • Python
  • Bert

Preferred Requirements

  • Experience in Computer Vision is preferred
Read more
Sahaj AI Software

at Sahaj AI Software

1 video
6 recruiters
Pavithra RM
Posted by Pavithra RM
Remote, Pune, Bengaluru (Bangalore), Chennai, Hyderabad
7 - 18 yrs
₹30L - ₹80L / yr
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
large language model

Job Description 

Data scientist with strong background in data mining, machine learning, recommendation systems, and statistics. Should possess signature strengths of a qualified mathematician with ability to apply concepts of Mathematics, Applied Statistics, with specialization in one or more of NLP, Computer Vision, Speech, Data mining to develop models that provide effective solution.. A strong data engineering background with hands-on coding capabilities is needed to own and deliver outcomes. 

A Master’s or PhD Degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent experience, 7+ years of industry experience in predictive modelling, data science and analysis, with prior experience in a ML or data scientist role and a track record of building ML or DL models. 

Responsibilities and skills: 

● Work with our customers to deliver a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization. 

● Selecting features, building and optimizing classifiers using ML techniques ● Data mining using state-of-the-art methods, create text mining pipelines to clean & process large unstructured datasets to reveal high quality information and hidden insights using machine learning techniques 

● Should be able to appreciate and work on Computer Vision problems – for example extract rich information from images to categorize and process visual data— Develop machine learning algorithms for object and image classification, Experience in using DBScan, PCA, Random Forests and Multinomial Logistic Regression to select the best features to classify objects. 

OR 

● Deep understanding of NLP such as fundamentals of information retrieval, deep learning approaches, transformers, attention models, text summarisation, attribute extraction, etc. Preferable experience in one or more of the following areas: recommender systems, moderation of user generated content, sentiment analysis, etc. 

OR 

● Speech recognition, speech to text and vice versa, understanding NLP and IR, text summarisation, statistical and deep learning approaches to text processing. Experience of having worked in these areas.

Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. Needs to appreciate deep learning frameworks like MXNet, Caffe 2, Keras, Tensorflow 

● Experience in working with GPUs to develop models, handling terabyte size datasets ● Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, mlr, mllib, Scikit-learn, caret etc - excellence in at least one of these is highly desirable ● Should be able to work hands-on in Python, R etc. Should closely collaborate & work with engineering teams to iteratively analyse data using Scala, Spark, Hadoop, Kafka, Storm etc., 

● Experience with NoSQL databases and familiarity with data visualization tools will be of great advantage

Read more
Chennai
4 - 6 yrs
₹18L - ₹23L / yr
Machine Learning (ML)
Data Science
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm
+6 more

Roles & Responsibilities:


-Adopt novel and breakthrough Deep Learning/Machine Learning technology to fully solve real world problems for different industries. -Develop prototypes of machine learning models based on existing research papers.

-Utilize published/existing models to meet business requirements. Tweak existing implementations to improve efficiencies and adapt for use-case variations.

-Optimize machine learning model training and inference time. -Work closely with development and QA teams in transitioning prototypes to commercial products

-Independently work end-to-end from data collection, preparation/annotation to validation of outcomes.


-Define and develop ML infrastructure to improve efficiency of ML development workflows.


Must Have:

- Experience in productizing and deployment of ML solutions.

- AI/ML expertise areas: Computer Vision with Deep Learning. Experience with object detection, classification, recognition; document layout and understanding tasks, OCR/ICR

. - Thorough understanding of full ML pipeline, starting from data collection to model building to inference.

- Experience with Python, OpenCV and at least a few framework/libraries (TensorFlow / Keras / PyTorch / spaCy / fastText / Scikit-learn etc.)

- Years with relevant experience:


5+ -Experience or Knowledge in ML OPS.


Good to Have: NLP: Text classification, entity extraction, content summarization. AWS, Docker.

Read more
Chennai
3 - 6 yrs
₹3L - ₹13L / yr
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm
BE / B Tech / MCA / MSc / ME / M Tech in Computer Science/Information Technology/ or related field.
Designing and developing NLP applications
Using effective text representation techniques and classification algorithms
Proven experience as an NLP Engineer or similar role
Understanding of NLP techniques for text representation, semantic extraction techniques, data structures and modeling
Working knowledge on pretrained NLP Models (ULMFiT, Transformer, BERT etc)
Ability to effectively design software architecture
Deep understanding of text representation techniques (such as n-grams, bag of words, sentiment analysis etc), statistics and classification algorithms

Proficiency with a deep learning framework such as TensorFlow, Keras or PyTorch) and libraries (like scikit-learn, Pandas and Numpy)
Proficiency with Python and basic libraries for machine learning.
Proficiency with IDEs – Jupyter Notebook, Spyder, Anaconda environments.
Familiarity with Linux (Centos and Ubuntu)
Ability to select hardware to run an ML model with the required latency
Excellent communication skills
Ability to work in a team
Outstanding analytical and problem-solving skills
Develop machine learning pipeline
Select appropriate datasets and data representation methods
Run machine learning tests and experiments
Perform statistical analysis and fine-tuning using test results
Train and retrain systems when necessary
Experience with Git based version control
Extend existing ML libraries and frameworks
Keep abreast of developments in the field
Research and implement MLOps tools, frameworks and platforms for our Data Science projects.
Read more
Tredence
Sharon Joseph
Posted by Sharon Joseph
Bengaluru (Bangalore), Gurugram, Chennai, Pune
7 - 10 yrs
Best in industry
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
Python
+1 more

Job Summary

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

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

​​​​​​Role & Responsibilities

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

 

Qualification & Experience

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

THE IDEAL CANDIDATE WILL

 

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

 

 

 

ELIGIBILITY CRITERIA

 

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

 

 

Nice to Have:

 

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

 

You can expect to –

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

 

 

Read more
Bypro Technologies

at Bypro Technologies

3 recruiters
Karthikeyan Balasundaram
Posted by Karthikeyan Balasundaram
Chennai, Coimbatore
1 - 3 yrs
₹2L - ₹5L / yr
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm

Job Description:

- Understanding about depth and breadth of computer vision and deep learning algorithms.

- At least 2 years of experience in computer vision and or deep learning for object detection and tracking along with semantic or instance segmentation either in the academic or industrial domain.

- Experience with any machine deep learning frameworks like Tensorflow, Keras, Scikit-Learn and PyTorch.

- Experience in training models through GPU computing using NVIDIA CUDA or on the cloud.

- Ability to transform research articles into working solutions to solve real-world problems.

- Strong experience in using both basic and advanced image processing algorithms for feature engineering.

- Proficiency in Python and related packages like numpy, scikit-image, PIL, opencv, matplotlib, seaborn, etc.

- Excellent written and verbal communication skills for effectively communicating with the team and ability to present information to a varied technical and non-technical audiences.

- Must be able to produce solutions independently in an organized manner and also be able to work in a team when required.

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

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

Qualification:
1. Bachelor's or Master's degree in a quantitative field (CS, machine learning, mathematics,
statistics) or equivalent experience.
2. 5+ years of experience in data science, building hands-on ML models
3. Experience leading the end-to-end design, development, and deployment of predictive
modeling solutions.
4. Excellent programming skills in Python. Strong working knowledge of Python’s numerical, data
analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, Jupyter, etc.
5. Advanced SQL skills with SQL Server and Spark experience.
6. Knowledge of predictive/prescriptive analytics including Machine Learning algorithms
(Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks
7. Experience with Natural Language Processing (NLTK) and text analytics for information
extraction, parsing and topic modeling.
8. Excellent verbal and written communication. Strong troubleshooting and problem-solving skills.
Thrive in a fast-paced, innovative environment
9. Experience with data visualization tools — PowerBI, Tableau, R Shiny, etc. preferred
10. Experience with cloud platforms such as Azure, AWS is preferred but not required
Read more
Chennai
3 - 8 yrs
₹3L - ₹17L / yr
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
Deep Learning
+7 more

Job Description – Data Science  

 

Basic Qualification:

  • ME/MS from premier institute with a background in Mechanical/Industrial/Chemical/Materials engineering.
  • Strong Analytical skills and application of Statistical techniques to problem solving
  • Expertise in algorithms, data structures and performance optimization techniques
  • Proven track record of demonstrating end to end ownership involving taking an idea from incubator to market
  •   Minimum years of experience in data analysis (2+), statistical analysis, data mining, algorithms for optimization.

Responsibilities

The Data Engineer/Analyst will

  • Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
  • Clear interaction with Business teams including product planning, sales, marketing, finance for defining the projects, objectives.
  • Mine and analyze data from company databases to drive optimization and improvement of product and process development, marketing techniques and business strategies
  • Coordinate with different R&D and Business teams to implement models and monitor outcomes.
  • Mentor team members towards developing quick solutions for business impact.
  • Skilled at all stages of the analysis process including defining key business questions, recommending measures, data sources, methodology and study design, dataset creation, analysis execution, interpretation and presentation and publication of results.

 

Preferred Qualifications
  • 4+ years’ experience in MNC environment with projects involving ML, DL and/or DS
  • Experience in Machine Learning, Data Mining or Machine Intelligence (Artificial Intelligence)
  • Knowledge on Microsoft Azure will be desired.
  • Expertise in machine learning such as Classification, Data/Text Mining, NLP, Image Processing, Decision Trees, Random Forest, Neural Networks, Deep Learning Algorithms
  • Proficient in Python and its various libraries such as Numpy, MatPlotLib, Pandas
  • Superior verbal and written communication skills, ability to convey rigorous mathematical concepts and considerations to Business Teams.
  • Experience in infra development / building platforms is highly desired.
  • A drive to learn and master new technologies and techniques.
Read more
Uber9 Business Process Services Pvt Ltd
Lakshmi J
Posted by Lakshmi J
Chennai
1 - 4 yrs
₹1L - ₹4L / yr
MongoDB
Machine Learning (ML)
Deep Learning
Natural Language Processing (NLP)
Amazon Web Services (AWS)

Working along with the highly  motivated advanced Machine Learning team, with  key responsibilities are to research, design, develop, and implement applications that will be integrated into our workflows.

Responsibilities and Accountabilities:

 

  • Provide ML  & Deep Learning solutions and build models for day to day Needs.
  • Working on end-to-end automation with regard to complex workflows.
  • Should have the ability to read and understand the necessary  Deep Learning research papers and draw solution out of it
  • Information extraction from various kinds of documents submitted by our customers. These documents will be images (different formats and resolutions), and PDF (text and scanned images).
  • Advanced Natural Language processing algorithms to extract metadata and drive research based  workflows.
  • Work collaboratively with the Engineering and Product team to design and implement the company’s technical vision.

I Experience:


  • Nature of Experience: Practical experience applying machine learning to computer vision tasks or in NLP
Length of Experience: 1-2 years (Freshers with extraordinary projects)


III Skill Set & Personality Traits required:

  • Have a proven understanding of computer vision and machine learning theory.
  • Candidates should be able to analyze and synthesize data both syntactically and semantically using NLP techniques through Neural Networks (Transformers-BERT and its Variants,RNN, LSTM, Bi-LSTM,).
  • Reasoning on Knowledge Graphs
  • Applied Linguists and Computational linguistics
  • Should have in-depth knowledge of Computer Vision (Image classification (CNNs) & Processing) and Natural Language Processing(Syntactic and Semantic regime) 
  • Must have the following Machine Learning skills: Probabilistic Learning (Naive Bayes), Neural Networks (CNN, RNN, LSTM, Bi-LSTM, GCNN, Object detection Neural Networks-Yolo).
  • Proficiency in Python(mandatory) and Scala will be add on
  • Must have work knowledge in FrameWorks: TensorFlow/Pytorch/Keras, Spark, Sci-kit learn, Flask, Fast API
  • Must have work knowledge in Database: MongoDB
  • Must have working knowledge in Cloud: AWS (S3and Lambda)
  • Have vision and experience to make end-to-end Machine Learning Platform solutions.
  • Proven experience working in product driven environment building and shipping early-stage technologies.
  • Strong professionally – credible with integrity.
  • Good communication skills.
  • Strong interpersonal skills.
  • Organizational skills and ability to manage deadlines.
Read more
YNOS Venture Engine

at YNOS Venture Engine

1 video
1 recruiter
Chaitanya Chinni
Posted by Chaitanya Chinni
Chennai
1 - 5 yrs
₹6L - ₹8L / yr
GitHub
MongoDB
Flask
Python
Django
+5 more
Who are we?

https://www.ynos.in/" target="_blank">YNOS is a next-generation funded startup founded by IIT Madras faculty and incubated at IIT Madras Incubation Cell. It is a digital platform for Entrepreneurs, Investors, Innovators and Eco-system enablers, providing actionable insights on the startup and investment landscape in India. We are passionate about solving tough problems using technology and data, making a difference

The Opening
We are presently seeking for our next enthusiastic, talented, and driven Python Backend Engineer to start right away. We'd want you to

  • Be excited about building a next-generation intelligence platform
  • Possess a can-do attitude and be open to new challenges
  • Value working with a great team - self-assured, creative, and insightful individuals who work together to achieve amazing things
  • Be willing to explore, learn, and contribute new ideas to the platform, thereby improving it
  • Be high on self-belief and enthusiasm to work in a startup culture - small team, fast-paced work environment

If this is you, we'd love to hear from you!

As the Python Backend Engineer in https://www.ynos.in/" target="_blank">YNOS, you will

  • Create reusable optimised code and libraries
  • Deploy task management systems and automate routine tasks
  • Build performant apps that adhere to the best practices, therefore increasing latency, performance, and scalability
  • Improve the existing codebase while reducing technical debt
  • Take charge of all elements of the application, including architecture, quality, and efficiency

Requirements
  • Proficient understanding of Python language
  • Expertise in developing web apps and APIs using Python frameworks like Flask with an overall grasp of client-server interactions
  • Familiarity with task management systems and process automation
  • Comfortable with using Command Line and Linux systems
  • Experience and understanding of version control systems like git, svn, etc
  • Knowledge of NoSQL databases such as MongoDB

Good to have

  • Expertise in other backend frameworks viz. Django, NodeJS, Go, Rust etc
  • Knowledge of data-modelling, data-wrangling & data-mining techniques
  • Experience with data visualisation tools & libraries such as Plotly, Seaborn etc
  • Exposure to Statistical and Machine Learning (ML) techniques, particularly in the field of Natural Language Processing (NLP)
  • Familiarity with front-end tools & frameworks such as HTML, CSS, JS, React, Vue, and others

Work location, Job type & Salary

  • Our office is located at https://respark.iitm.ac.in/" target="_blank">IIT Madras Research Park, Chennai, Tamil Nadu, surrounded by the beautiful IITM Campus!
  • This is a full-time position and we’d like you to relocate to Chennai
  • Expected salary range ₹6L - ₹8L per annum

 

Read more
Chennai
3 - 6 yrs
₹3L - ₹8L / yr
Machine Learning (ML)
Data Science
Natural Language Processing (NLP)
Data modeling
Data Analytics
+2 more

Location:  Chennai
Education: BE/BTech
Experience: Minimum 3+ years of experience as a Data Scientist/Data Engineer

Domain knowledge: Data cleaning, modelling, analytics, statistics, machine learning, AI

Requirements:

  • To be part of Digital Manufacturing and Industrie 4.0 projects across client group of companies
  • Design and develop AI//ML models to be deployed across factories
  • Knowledge on Hadoop, Apache Spark, MapReduce, Scala, Python programming, SQL and NoSQL databases is required
  • Should be strong in statistics, data analysis, data modelling, machine learning techniques and Neural Networks
  • Prior experience in developing AI and ML models is required
  • Experience with data from the Manufacturing Industry would be a plus

Roles and Responsibilities:

  • Develop AI and ML models for the Manufacturing Industry with a focus on Energy, Asset Performance Optimization and Logistics
  • Multitasking, good communication necessary
  • Entrepreneurial attitude

Additional Information:

  • Travel:                                  Must be willing to travel on shorter duration within India and abroad
  • Job Location:                      Chennai
  • Reporting to:                      Team Leader, Energy Management System
Read more
Genesys

at Genesys

5 recruiters
Praveen Immanuel
Posted by Praveen Immanuel
Chennai, Hyderabad
2 - 5 yrs
₹1L - ₹12L / yr
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm

Location: Chennai

Summary of the Position:

Job Purpose:    

Genesys is the global omnichannel customer experience and contact center solution leader. With over 4,500 successful customers, our customer experience platform and solutions help companies engage effortlessly with their customers, across all touchpoints, channels and interactions to deliver differentiated customer journeys, while maximizing revenue and loyalty. 

Genesys is embracing AI and Machine Learning in delivering AI-powered products like Predictive Routing, Chat bots, and Customer Journey management. The PS Data Scientist share a passion for AI & data working with global project teams and customers to extend data science services across Genesys solutions both on premise and in the cloud.

Join us and be a part of this journey as we write Customer Success stories with these products.

Location: (Chennai/Hyderabad/Bangalore)

WHAT YOU DO:

  • Interface with business customers, gathering and understanding requirements
  • Interface with customer and Genesys data science teams in discovery, extraction, loading, data transformation, and analysis of results
  • Define and utilize data intuition process to cleanse and verify the integrity of customer & Genesys data to be used for analysis
  • Implement, own, and improve data pipelines using best practices in data modeling, ETL/ELT processes
  • Build, improve, and provide ongoing optimization of high quality models
  • Work with PS & Engineering to deliver specific customer requirements and report back customer feedback, issues and feature requests. Continuous improvement in reporting, analysis, overall process.
  • Visualize, present and demonstrate findings as required. Perform knowledge transfer to customer and internal teams.
  • Communicate within the global community respecting cultural, language and time zone variations
  • Demonstrate flexibility to adjust working hours to match customer and team interactions

 

 

ABOUT YOU:

  • Bachelor’s / Master’s degree in quantitative field (e.g. Computer Science, Statistics, Engineering)
  • 2-4 years of relevant experience in Data Science or Data Engineering
  • 2+ years of hands-on experience performing statistical data analysis across large datasets writing highly optimized SQL queries and utilizing Python (NumPy, Pandas) or similar software (Primary)
  • Expertise with major statistical & analytical software like (Python or R or SAS) - Primary
  • Experience in Snowflake, Tableau, Elasticsearch, Kibana and real time analytics solution development will be major plus (Secondary)
  • Should have the application development background of using any contact center product suites such as Genesys, Avaya, Cisco etc.
  • Expertise with data modelling, data warehousing and ETL/ELT development
  • Expertise with database solutions such as SQL, MongoDB, Redshift, Hadoop, Hive
  • Proficiency with REST API, JSON, (AWS/AZURE/GCP) - Primary
  • Experience in working and delivering projects independently. Ability to multi-task and context switch between projects and tasks
  • Curiosity, passion, and drive for data queries, analysis, quality, models
  • Excellent communication, initiative, and coordination skills with great attention to detail. Ability to explain and discuss complex topics with both experts and business leaders

How You Do It:

How You Think: Understands the business and takes a non-traditional approach to solving common problems. Willing to draw outside the lines and find new ways to make an impact on old problems.

How You Interact: Can easily build collaborative relationships that energize individuals, teams, and the company into action. You are a global thinker and can work across locations and time zones. You are an excellent communicator and listener, and can easily persuade to drive a vision and purpose.

How You Own It: You are a hands-on executor who can drive change and clearly communicate across all stakeholders.

How You Show Up: 

Embodies Genesys core cultural values and pushes to create an authentic employee experience. You are the type of person who can succeed through ambiguity, bringing clarity where there is no roadmap, who can re-set when a change in direction is needed without getting derailed or frustrated. You are authentic and in still the trust in others.

About Us

Genesys ® powers more than 25 billion of the world’s best customer experiences each year. We put the customer at the center of everything we do and passionately believe that great customer engagement drives great business outcomes. More than 10,000 companies in more than 100 countries trust the industry’s #1 customer experience platform to orchestrate omnichannel customer journeys that eliminate silos and build lasting relationships. With a strong track record of innovation and a never-ending desire to be first, Genesys is the only company recognized by top industry analysts as a leader in both cloud and on-premise customer engagement solutions. Connect with Genesys via www.genesys.com , Twitter , Facebook , YouTube , LinkedIn , and the Genesys blog.

Genesys is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.

Read more
Amagi Media Labs

at Amagi Media Labs

3 recruiters
Rajesh C
Posted by Rajesh C
chennai
5 - 7 yrs
₹20L - ₹30L / yr
Machine Learning (ML)
Data Science
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm
Job Title: Software Engineer - ML Job Location: Chennai
Job Summary
Condé Nast is seeking an experienced and highly motivated Software engineer-ML who will support
productionizing projects in a databricks environment for the data science team. We expect the person
to be a software/data engineer experienced in building robust ML systems & deploying ML pipelines
in production, Study and transform data science prototypes into an engineering product and is
knowledgeable about machine learning models.
**This role is NOT for building Machine Learning models **
Primary Responsibilities
● Operationalize ML models into production environment(s) by building data
pipelines ● Designing and developing Machine Learning Systems
● Keep abreast of developments in the field
● Come up with engineering ideas to resolve problems faced with respect to ML pipeline ●
Design and code highly scalable, machine learning frameworks processing large volumes of data
● Engineer a near-real-time system that can process massive amounts of data efficiently ●
Collaborate with other Machine Learning Engineers and Data Scientists in architecting &
engineering the solution
● Participate in the entire development lifecycle, from concept to release
● Participate in all phases of quality assurance and defect resolution
Desired Skills & Qualifications
● 5+ years software development experience with highly scalable systems involving
machine learning and big data
● Understanding of data structures, data modeling and software architecture
● Strong software development skills with proficiency in Python/Pyspark
● Experience with Big Data technologies such as Spark, Hadoop
● Familiarity with machine learning frameworks and libraries would be a good-to-have
skill ● Excellent communication skills
● Ability to work in a team
● Outstanding analytical and problem-solving skills
● Applicants should have a Undergraduate/Postgraduate degree in Computer Science or a
related discipline
About Condé Nast
CONDÉ NAST GLOBAL
Condé Nast is a global media house with over a century of distinguished publishing history. With a
portfolio of iconic brands like Vogue, GQ, Vanity Fair, The New Yorker and Bon Appétit, we at Condé Nast
aim to tell powerful, compelling stories of communities, culture and the contemporary world. Our
operations are headquartered in New York and London, with colleagues and collaborators in 32 markets
across the world, including France, Germany, India, China, Japan, Spain, Italy, Russia, Mexico, and Latin
America.
Condé Nast has been raising the industry standards and setting records for excellence in the publishing
space. Today, our brands reach over 1 billion people in print, online, video, and social media.
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.
Read more
MulticoreWare
Chennai
3 - 6 yrs
₹7L - ₹12L / yr
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
C
+6 more

Senior Engineer  – Artificial Intelligence / Computer Vision
(Business Unit – Autonomous Vehicles & Automotive - AVA)


We are seeking an exceptional, experienced senior engineer with deep expertise in Computer Vision, Neural Networks, 3D Scene Understanding and Sensor Data Processing. The expectation is to lead a growing team of engineers to help them build and deliver customized solutions for our clients. A solid engineering as well as team management background is a must.


About MulticoreWare Inc
MulticoreWare Inc is a software and solutions development company with top-notch talent and skill in a variety of micro-architectures, including multi-thread, multi-core, and heterogeneous hardware platforms. It works in sectors including High Performance Computing (HPC), Media & AI Analytics, Video Solutions, Autonomous Vehicle and Automotive software, all of which are rapidly expanding. The Autonomous Vehicles & Automotive business unit specializes in delivering optimized solutions for sophisticated sensor fusion intelligence and the design of algorithms & implementation of software to be deployed on a variety of automotive grade hardware platforms.


Role Responsibilities
● Lead a team to solve the problems in a perception / autonomous-systems scope and turn ideas into code & products
● Drive all technical elements of development, such as project requirements definition, design, implementation, unit testing, integration, and software delivery
● Implementing cutting edge AI solutions on embedded platforms and optimizing them for performance. Hardware architecture aware algorithm design and development
● Contribute to the vision and long-term strategy of the business unit


Required Qualifications (Must Have)
● 3 - 7 years of experience with real world system building, including design, coding (C++/Python) and evaluation/testing (C++/Python)
● Solid experience in 2D / 3D Computer Vision algorithms, Machine Learning and Deep Learning fundamentals – Theory & Practice. Hands-on experience with Deep Learning frameworks like Caffe, TensorFlow or PyTorch
● Expert level knowledge in any of the courses related Signal Data Processing / Autonomous or Robotics software development (Perception, Localization, Prediction, Planning), multi-object tracking, sensor fusion algorithms and familiarity on Kalman filters, particle filters, clustering methods etc.
● Good project management and execution capabilities, as well as good communication and coordination ability
● Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related fields


Preferred Qualifications (Nice-to-Have)
● GPU architecture and CUDA programming experience, as well as knowledge of AI inference optimization using Quantization, Compression (or) Model Pruning
● Track record of research excellence with prior publication on top-tier conferences and journals

Read more
Pune, Bengaluru (Bangalore), Chennai, Mumbai, Gurugram, Nashik
5 - 10 yrs
₹20L - ₹22L / yr
Data Science
Kofax
Data Scientist
Machine Learning (ML)
Natural Language Processing (NLP)
+5 more

B1 – Data Scientist  -  Kofax Accredited Developers

 

Requirement – 3

 

Mandatory –

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

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

Good to have

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

 

Qualification -

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

 

Read more
Ganit Business Solutions

at Ganit Business Solutions

3 recruiters
Viswanath Subramanian
Posted by Viswanath Subramanian
Remote, Chennai, Bengaluru (Bangalore), Mumbai
3 - 7 yrs
₹12L - ₹25L / yr
Machine Learning (ML)
Data Science
Natural Language Processing (NLP)
Computer Vision
R Programming
+5 more

Ganit has flipped the data science value chain as we do not start with a technique but for us, consumption comes first. With this philosophy, we have successfully scaled from being a small start-up to a 200 resource company with clients in the US, Singapore, Africa, UAE, and India. 

We are looking for experienced data enthusiasts who can make the data talk to them. 

 

You will: 

  • Understand business problems and translate business requirements into technical requirements. 
  • Conduct complex data analysis to ensure data quality & reliability i.e., make the data talk by extracting, preparing, and transforming it. 
  • Identify, develop and implement statistical techniques and algorithms to address business challenges and add value to the organization. 
  • Gather requirements and communicate findings in the form of a meaningful story with the stakeholders  
  • Build & implement data models using predictive modelling techniques. Interact with clients and provide support for queries and delivery adoption. 
  • Lead and mentor data analysts. 

 

We are looking for someone who has: 

 

  • Apart from your love for data and ability to code even while sleeping you would need the following. 
  • Minimum of 02 years of experience in designing and delivery of data science solutions. 
  • You should have successful projects of retail/BFSI/FMCG/Manufacturing/QSR in your kitty to show-off. 
  • Deep understanding of various statistical techniques, mathematical models, and algorithms to start the conversation with the data in hand. 
  • Ability to choose the right model for the data and translate that into a code using R, Python, VBA, SQL, etc. 
  • Bachelors/Masters degree in Engineering/Technology or MBA from Tier-1 B School or MSc. in Statistics or Mathematics 

Skillset Required:

  • Regression
  • Classification
  • Predictive Modelling
  • Prescriptive Modelling
  • Python
  • R
  • Descriptive Modelling
  • Time Series
  • Clustering
  •  

What is in it for you: 

 

  • Be a part of building the biggest brand in Data science. 
  • An opportunity to be a part of a young and energetic team with a strong pedigree. 
  • Work on awesome projects across industries and learn from the best in the industry, while growing at a hyper rate. 

 

Please Note:  

 

At Ganit, we are looking for people who love problem solving. You are encouraged to apply even if your experience does not precisely match the job description above. Your passion and skills will stand out and set you apart—especially if your career has taken some extraordinary twists and turns over the years. We welcome diverse perspectives, people who think rigorously and are not afraid to challenge assumptions in a problem. Join us and punch above your weight! 

Ganit is an equal opportunity employer and is committed to providing a work environment that is free from harassment and discrimination. 

All recruitment, selection procedures and decisions will reflect Ganit’s commitment to providing equal opportunity. All potential candidates will be assessed according to their skills, knowledge, qualifications, and capabilities. No regard will be given to factors such as age, gender, marital status, race, religion, physical impairment, or political opinions. 

Read more
Kaleidofin

at Kaleidofin

3 recruiters
Poornima B
Posted by Poornima B
Chennai, Bengaluru (Bangalore)
3 - 8 yrs
Best in industry
Data Science
Machine Learning (ML)
Python
SQL
Natural Language Processing (NLP)
4+ year experience in advanced analytics, model building, statistical modeling,
• Solid technical / data-mining skills and ability to work with large volumes of data; extract
and manipulate large datasets using common tools such as Python and SQL other
programming/scripting languages to translate data into business decisions/results
• Be data-driven and outcome-focused
• Must have good business judgment with demonstrated ability to think creatively and
strategically
• Must be an intuitive, organized analytical thinker, with the ability to perform detailed
analysis
• Takes personal ownership; Self-starter; Ability to drive projects with minimal guidance
and focus on high impact work
• Learns continuously; Seeks out knowledge, ideas and feedback.
• Looks for opportunities to build owns skills, knowledge and expertise.
• Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG,
HIVE)
• Experience in risk and credit score domains preferred
• Comfortable with ambiguity and frequent context-switching in a fast-paced
environment
Read more
MNC

at MNC

Agency job
via Fragma Data Systems by Priyanka U
Chennai
1 - 5 yrs
₹6L - ₹12L / yr
Data Science
Natural Language Processing (NLP)
Data Scientist
R Programming
Python
Skills
  • Python coding skills
  • Scikit-learn, pandas, tensorflow/keras experience
  • Machine learning: designing ml models and explaining them for regression, classification, dimensionality reduction, anomaly detection etc
  • Implementing Machine learning models and pushing it to production 
  • Creating docker images for ML models, REST API creation in Python
1) Data scientist with NLP experience
  • Additional Skills Compulsory:
    • Knowledge and professional experience of text and NLP related projects such as - text classification, text summarization, topic modeling etc
2) Data scientist with Computer vision for documents experience
  • Additional Skills Compulsory:
    • Knowledge and professional experience of vision and deep learning for documents - CNNs, Deep neural networks using tensorflow for Keras for object detection, OCR implementation, document extraction etc
Read more
LatentView Analytics

at LatentView Analytics

3 recruiters
Kannikanti madhuri
Posted by Kannikanti madhuri
Chennai
5 - 8 yrs
₹5L - ₹8L / yr
Data Science
Analytics
Data Analytics
Data modeling
Data mining
+7 more
Job Overview :We are looking for an experienced Data Science professional to join our Product team and lead the data analytics team and manage the processes and people responsible for accurate data collection, processing, modelling and analysis. The ideal candidate has a knack for seeing solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for our clients. The incumbent will work closely with leaders across product, sales, and marketing to support and implement high-quality, data-driven decisions. They will ensure data accuracy and consistent reporting by designing and creating optimal processes and procedures for analytics employees to follow. They will use advanced data modelling, predictive modelling, natural language processing and analytical techniques to interpret key findings.Responsibilities for Analytics Manager :- Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.- Design and build technical processes to address business issues.- Manage and optimize processes for data intake, validation, mining and engineering as well as modelling, visualization and communication deliverables.- Examine, interpret and report results to stakeholders in leadership, technology, sales, marketing and product teams.- Develop and implement quality controls and standards to ensure quality standards- Anticipate future demands of initiatives related to people, technology, budget and business within your department and design/implement solutions to meet these needs.- Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company.- Lead cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.Qualifications for Analytics Manager :- Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple cloud-based data sources- Strong SQL skills, ability to perform effective querying- Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analysing data, drawing conclusions, and developing actionable recommendations for business units.- Experience and knowledge of statistical modelling techniques: GLM multiple regression, logistic regression, log-linear regression, variable selection, etc.- Experience working with and creating databases and dashboards using all relevant data to inform decisions.- Strong problem solving, quantitative and analytical abilities.- Strong ability to plan and manage numerous processes, people and projects simultaneously.- Excellent communication, collaboration and delegation skills.- We- re looking for someone with at least 5 years of experience in a position monitoring, managing and drawing insights from data, and someone with at least 3 years of experience leading a team. The right candidate will also be proficient and experienced with the following tools/programs :- Strong programming skills with querying languages: R, Python etc.- Experience with big data tools like Hadoop- Experience with data visualization tools: Tableau, d3.js, etc.- Experience with Excel, Word, and PowerPoint.
Read more
Get to hear about interesting companies hiring right now
Company logo
Company logo
Company logo
Company logo
Company logo
Linkedin iconFollow Cutshort
Why apply via Cutshort?
Connect with actual hiring teams and get their fast response. No spam.
Find more jobs
Get to hear about interesting companies hiring right now
Company logo
Company logo
Company logo
Company logo
Company logo
Linkedin iconFollow Cutshort