11+ Decision trees Jobs in Chennai | Decision trees Job openings in Chennai

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.
  

 

• 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.
  

Responsibilities:
• Charting learning journeys with knowledge graphs.
• Predicting memory decay based upon an advanced cognitive model.
• Ensure content quality via study behavior anomaly detection.
• Recommend tags using NLP for complex knowledge.
• Auto-associate concept maps from loosely structured data.
• Predict knowledge mastery.
• Search query personalization.
Requirements:
• 6+ years experience in AI/ML with end-to-end implementation.
• Excellent communication and interpersonal skills.
• Expertise in SageMaker, TensorFlow, MXNet, or equivalent.
• Expertise with databases (e. g. NoSQL, Graph).
• Expertise with backend engineering (e. g. AWS Lambda, Node.js ).
• Passionate about solving problems in education

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. 

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 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.

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.

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.

Job Title : DataScience Engineer
Work Location : Chennai
Experience Level : 5+yrs
Package : Upto 18 LPA
Notice Period : Immediate Joiners
It's a full-time opportunity with our client.

Mandatory Skills:Machine Learning,Python,Tableau & SQL

Job Requirements:

--2+ years of industry experience in predictive modeling, data science, and Analysis.

--Experience with ML models including but not limited to Regression, Random Forests, XGBoost.

--Experience in an ML engineer or data scientist role building and deploying ML models or hands on experience developing deep learning models.

--Experience writing code in Python and SQL with documentation for reproducibility.

--Strong Proficiency in Tableau.

--Experience handling big datasets, diving into data to discover hidden patterns, using data visualization tools, writing SQL.

--Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations.

--AWS Sagemaker experience is a plus not required.

About Toyota Connected

If you want to change the way the world works, transform the automotive industry and positively impact others on a global scale, then Toyota Connected is the right place for you! Within our collaborative, fast-paced environment we focus on continual improvement and work in a highly iterative way to deliver exceptional value in the form of connected products and services that wow and delight our customers and the world around us.

 

About the Team

Toyota Connected India is hiring talented engineers at Chennai to use Deep Learning, Computer vision, Big data, high performance cloud-based services and other cutting-edge technologies to transform the customer experience with their vehicle. Come help us re-imagine what mobility can be today and for years to come!

 

Job Description

The Toyota Connected team is looking for a Senior ML Engineer (Computer Vision) to be a part of a highly talented engineering team to help create new products and services from the ground up for the next generation connected vehicles. We are looking for team members that are required to be creative in solving problems, excited to work in new technology areas and be ready to wear multiple hats to get things done in a highly energized, fast-paced, innovative and collaborative startup environment.

 

What you will do

• Develop solutions using Machine Learning/Deep Learning and other advanced technologies to solve a variety of problems

• Develop image analysis algorithms and deep learning architectures to solve Computer vision related problems.

• Implement cutting edge machine learning techniques in image classification, object detection, semantic segmentation, sequence modeling, etc. using frameworks such as OpenCV, TensorFlow and Pytorch.

• Translate user stories and business requirements to technical solutions by building quick prototypes or proof of concepts with several business and technical stakeholder groups in both internal and external organizations

• Partner with leaders in the area and have insights to select off the shelf components vs building from the scratch

• Convert the proof of concepts to production-grade solutions that can scale for hundreds of thousands of users

• Be hands-on where required and lead from the front in following best practices in development and CI/CD methods

• Own delivery of features from top to bottom, from concept to code to production

• Develop tools and libraries that will enable rapid and scalable development in the future

You are a successful candidate if

• You are smart and can demonstrate it

• You have 8+ years of experience as software engineer with minimum 3 years hands-on experience delivering products or solutions that utilized Computer Vision

• Strong experience in deploying solutions to production, with hands-on experience in any public cloud environment (AWS, GCP or Azure)

• Excellent proficiency in Open CV or related computer vision frameworks and libraries

• Mathematical understanding of a variety of statistical learning algorithms (Reinforcement Learning, Supervised/Unsupervised, Graphical Models)

• Expertise in a variety of Deep Learning architectures including Residual Networks, RNN/CNN, Transformer, and Transfer Learning. And experience in delivering value using these in real production environments for real customers

• You have deep proficiency in Python and at least one other major programming language (C++, Java, Golang)

• You are very fluent in one or more ML tools/libraries like Tensorflow, Pytorch, Caffe, and/or Theano and have solved several real-life problems using these

• We think the knowledge acquired earning a degree in Computer Science or Math would be of great value in this position, but if you're smart and have the experience that backs up your abilities, for us, talent trumps degree every time

 

What is in it for you? 

• Top of the line compensation!

• You'll be treated like the professional we know you are and left to manage your own time and work load.

• Yearly gym membership reimbursement. & Free catered lunches. 

• No dress code! We trust you are responsible enough to choose what’s appropriate to wear for the day.

• Opportunity to build products that improves the safety and convenience of millions of customers. 
Our Core Values

• Empathetic: We begin making decisions by looking at the world from the perspective of our customers, teammates, and partners.
• Passionate: We are here to build something great, not just for the money. We are always looking to improve the experience of our millions of customers
• Innovative: We experiment with ideas to get to the best solution. Any constraint is a challenge, and we love looking for creative ways to solve them.
• Collaborative: When it comes to people, we think the whole is greater than its parts and that everyone has a role to play in the success!
•  

Required Skill Set: -5+ years of hands-on experience in delivering results-driven analytics solutions with proven business value - Great consulting and quantitative skills, detail-oriented approach, with proven expertise in developing solutions using SQL, R, Python or such tools - A background in Statistics / Econometrics / Applied Math / Operations Research would be considered a plus -Exposure to working with globally dispersed teams based out of India or other offshore locations Role Description/ Responsibilities: Be the face of LatentView in the client's organization and help define analytics-driven consulting solutions to business problems -Translate business problems into analytic solution requirements and work with the LatentView team to develop high-quality solutions "- Communicate effectively with client / offshore team to manage client expectations and ensure timeliness and quality of insights -Develop expertise in clients business and help translate that into increasingly high value-added advisory solutions to client -Oversee Project Delivery to ensure the team meets the quality, productivity and SLA objectives - Grow the Account in terms of revenue and the size of the team You should Apply if you want to: - Change the world with Math and Models: At the core, we believe that analytics can help drive business transformation and lasting competitive advantage. We work with a heavy mix of algorithms, analysis, large databases and ROI to positively transform many a client- business performance - Make a direct impact on business: Your contribution to delivering results-driven solutions can potentially lead to millions of dollars of additional revenue or profit for our clients - Thrive in a Fast-pace Environment: You work in small teams, in an entrepreneurial environment, and a meritorious culture that values speed, growth, diversity and contribution - Work with great people: Our selection process ensures that we hire only the very best, while more than 50% of our analysts and 90% of our managers are alumni/alumna of prestigious global institutions