11+ Unsupervised learning Jobs in India

• Research and test novel machine learning approaches for analysing large-scale distributed computing applications.
• Develop production-ready implementations of proposed solutions across different models AI and ML algorithms, including testing on live customer data to improve accuracy,  efficacy, and robustness
• Work closely with other functional teams to integrate implemented systems into the SaaS platform
• Suggest innovative and creative concepts and ideas that would improve the overall platform

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The ideal candidate must have the following qualifications:

• 5 + years experience in practical implementation and deployment of large customer-facing ML based systems.
• MS or M Tech (preferred) in applied mathematics/statistics;  CS or Engineering disciplines are acceptable but must have with strong quantitative and applied mathematical skills
• In-depth working, beyond coursework, familiarity with classical and current ML techniques, both supervised and unsupervised learning techniques and algorithms
• Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimization
• Experience in working on modeling graph structures related to spatiotemporal systems
• Programming skills in Python is a must
• Experience in developing and deploying on cloud (AWS or Google or Azure)
• Good verbal and written communication skills
• Familiarity with well-known ML frameworks such as Pandas, Keras, TensorFlow

Most importantly, you should be someone who is passionate about building new and innovative products that solve tough real-world problems.

Chennai, India

About Us:

Established in the early months of 2016, Sentienz is an IoT, AI, and big data technology company that you can join. A dynamic team of highly skilled data scientists and engineers who specialize in building internet-scale platforms and petabyte-scale digital insights solutions. We are experts in developing state-of-the-art machine learning models as well as advanced analytics platforms.

Sentienz is proud of its flagship product, Sentienz Akiro, an AI-powered connectivity platform. By allowing users to communicate easily across their devices, Akiro revolutionizes consumer engagement. Moreover, it offers essential feedback on customer involvement within your app. In addition to these factors, Akiro enables IoT M2M communication by providing unmatched real-time access.

If you want to be part of the future of AI-driven connectivity and IoT innovation at Sentienz, then join us today!

Position: Senior Data Engineer

Job Specifications:

• 5+ years of experience in data engineering or a similar role.
• Proficiency in programming languages such as Scala, Java, and Python.
• Experience with big data technologies such as Spark.
• Strong SQL skills and experience with relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra).
• Hands-on experience with data integration tools like Treeno and Airbyte.
• Experience with scheduling and workflow automation tools such as Dolphin Scheduler.
• Familiarity with data visualization tools like Superset.
• Hands-on experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and their data services.
• Bachelor/master’s degree in computer science or a related field.
• Excellent problem-solving skills, attention to detail, and good communication skills.
• Candidates must be fast learners and adaptable to a fast-paced development environment.

Location: On-site; Bangalore/Bangalore Urban

Availability to Join: Immediate Joiners

About the role:

 Hopscotch is looking for a passionate Data Engineer to join our team. You will work closely with other teams like data analytics, marketing, data science and individual product teams to specify, validate, prototype, scale, and deploy data pipelines features and data architecture.

Here’s what will be expected out of you:

➢ Ability to work in a fast-paced startup mindset. Should be able to manage all aspects of data extraction transfer and load activities.

➢ Develop data pipelines that make data available across platforms.

➢ Should be comfortable in executing ETL (Extract, Transform and Load) processes which include data ingestion, data cleaning and curation into a data warehouse, database, or data platform.

➢ Work on various aspects of the AI/ML ecosystem – data modeling, data and ML pipelines.

➢ Work closely with Devops and senior Architect to come up with scalable system and model architectures for enabling real-time and batch services.

What we want:

➢ 5+ years of experience as a data engineer or data scientist with a focus on data engineering and ETL jobs.

➢ Well versed with the concept of Data warehousing, Data Modelling and/or Data Analysis.

➢ Experience using & building pipelines and performing ETL with industry-standard best practices on Redshift (more than 2+ years).

➢ Ability to troubleshoot and solve performance issues with data ingestion, data processing & query execution on Redshift.

➢ Good understanding of orchestration tools like Airflow.

 ➢ Strong Python and SQL coding skills.

➢ Strong Experience in distributed systems like spark.

➢ Experience with AWS Data and ML Technologies (AWS Glue,MWAA, Data Pipeline,EMR,Athena, Redshift,Lambda etc).

➢ Solid hands on with various data extraction techniques like CDC or Time/batch based and the related tools (Debezium, AWS DMS, Kafka Connect, etc) for near real time and batch data extraction.

Note :

Product based companies, Ecommerce companies is added advantage

Roles and

Responsibilities

Seeking AWS Cloud Engineer /Data Warehouse Developer for our Data CoE team to

help us in configure and develop new AWS environments for our Enterprise Data Lake,

migrate the on-premise traditional workloads to cloud. Must have a sound

understanding of BI best practices, relational structures, dimensional data modelling,

structured query language (SQL) skills, data warehouse and reporting techniques.

 Extensive experience in providing AWS Cloud solutions to various business

use cases.

 Creating star schema data models, performing ETLs and validating results with

business representatives

 Supporting implemented BI solutions by: monitoring and tuning queries and

data loads, addressing user questions concerning data integrity, monitoring

performance and communicating functional and technical issues.

Job Description: -

This position is responsible for the successful delivery of business intelligence

information to the entire organization and is experienced in BI development and

implementations, data architecture and data warehousing.

Requisite Qualification

Essential

-

AWS Certified Database Specialty or -

AWS Certified Data Analytics

Preferred

Any other Data Engineer Certification

Requisite Experience

Essential 4 -7 yrs of experience

Preferred 2+ yrs of experience in ETL & data pipelines

Skills Required

Special Skills Required

 AWS: S3, DMS, Redshift, EC2, VPC, Lambda, Delta Lake, CloudWatch etc.

 Bigdata: Databricks, Spark, Glue and Athena

 Expertise in Lake Formation, Python programming, Spark, Shell scripting

 Minimum Bachelor’s degree with 5+ years of experience in designing, building,

and maintaining AWS data components

 3+ years of experience in data component configuration, related roles and

access setup

 Expertise in Python programming

 Knowledge in all aspects of DevOps (source control, continuous integration,

deployments, etc.)

 Comfortable working with DevOps: Jenkins, Bitbucket, CI/CD

 Hands on ETL development experience, preferably using or SSIS

 SQL Server experience required

 Strong analytical skills to solve and model complex business requirements

 Sound understanding of BI Best Practices/Methodologies, relational structures,

dimensional data modelling, structured query language (SQL) skills, data

warehouse and reporting techniques

Preferred Skills

Required

 Experience working in the SCRUM Environment.

 Experience in Administration (Windows/Unix/Network/Database/Hadoop) is a

plus.

 Experience in SQL Server, SSIS, SSAS, SSRS

 Comfortable with creating data models and visualization using Power BI

 Hands on experience in relational and multi-dimensional data modelling,

including multiple source systems from databases and flat files, and the use of

standard data modelling tools

 Ability to collaborate on a team with infrastructure, BI report development and

business analyst resources, and clearly communicate solutions to both

technical and non-technical team members

• Does analytics to extract insights from raw historical data of the organization. 
• Generates usable training dataset for any/all MV projects with the help of Annotators, if needed.
• Analyses user trends, and identifies their biggest bottlenecks in Hammoq Workflow.
• Tests the short/long term impact of productized MV models on those trends.
• Skills - Numpy, Pandas, SPARK, APACHE SPARK, PYSPARK, ETL mandatory. 

Responsibilities:

* 3+ years of Data Engineering Experience - Design, develop, deliver and maintain data infrastructures.

* SQL Specialist – Strong knowledge and Seasoned experience with SQL Queries

* Languages: Python

* Good communicator, shows initiative, works well with stakeholders.

* Experience working closely with Data Analysts and provide the data they need and guide them on the issues.

* Solid ETL experience and Hadoop/Hive/Pyspark/Presto/ SparkSQL

* Solid communication and articulation skills

* Able to handle stakeholders independently with less interventions of reporting manager.

* Develop strategies to solve problems in logical yet creative ways.

* Create custom reports and presentations accompanied by strong data visualization and storytelling

We would be excited if you have:

* Excellent communication and interpersonal skills

* Ability to meet deadlines and manage project delivery

* Excellent report-writing and presentation skills

* Critical thinking and problem-solving capabilities

Square Panda is a startup headquartered in Sunnyvale, CA with additional offices located in India 

and China. We are in a research based Ed-Tech space, focusing on children's early literacy. We 

have 3000+ schools under our belt and are proud to cater the needs of English Language 

development of 70,000+ kids worldwide. Our multisensory neuroscience research-based phonics 

learning system comes equipped with educational games to teach children many essential skills. 

With a curriculum that has been specially adapted for Indian schools and children, we strive to 

empower beginner learners through phonics awareness.

  Responsibilities 

o Lead the identification and execution of opportunities where Analytics can make a difference across the company with focus on multiple markets we operate in - US, India and China.

 o Actively champion adoption of the analytics solutions across various markets and functions

 o Translate business problems into Insights projects and lead in quantifying the various types of risk and rewards that allow these projects to be prioritized.

 o Excellent project management and executive communication skills.

 o Understanding of the techniques and technologies of data science, along with a detailed understanding of the challenges associated with each (e.g. overfitting, model refresh, challenge of acquiring training data, cost of compute, etc.)

 o Proactively and continuously assess the marketplace and its dynamics, customers, and competitors. 

o Provide an unbiased point of view on the performance of markets/brands, supported by facts and evidence

 o Develop research strategies to ensure internal understanding of customer and competitor insights 

o Develop and implement market research & analytical plans, in collaboration with cross‐functional teams.

 o Seeks out alternative/creative ways of meeting an information need, considering new techniques to address business challenges.

 o Monitor program risks and ensure appropriate actions are taken, including escalating issues timely to the management 

o Maintain understanding of business operations and how users interact with the relevant systems and use that understanding to provide decision support analysis.

 o Tap the working knowledge of AI and analytics to convey these business goals to the data professionals who will create the models and solutions. 

o Enthusiasm, commitment, and business savvy to navigate the technical, political, and organizational roadblocks that can emerge.

 Desired Profile 

o 6-8 years of experience in executing multiple analytics projects end to end

 o Entrepreneurial mind-set o Should have played hands on data sciences role in the past with full knowledge of which analytics technique to apply 

o Background of core consulting / start up handling end to end projects o Excellent communication and project management skills o Ability to lead both business and analytics team to generate ROI and success for business o Expertise across the spectrum of analytics - Dashboards, Visualizations, Insights, Data Science driven AI, ML Projects  

Responsibilities

• Own the design, development, testing, deployment, and craftsmanship of the team’s infrastructure and systems capable of handling massive amounts of requests with high reliability and scalability
• Leverage the deep and broad technical expertise to mentor engineers and provide leadership on resolving complex technology issues
• Entrepreneurial and out-of-box thinking essential for a technology startup
• Guide the team for unit-test code for robustness, including edge cases, usability, and general reliability

Requirements

• In-depth understanding of image processing algorithms, pattern recognition methods, and rule-based classifiers
• Experience in feature extraction, object recognition and tracking, image registration, noise reduction, image calibration, and correction
• Ability to understand, optimize and debug imaging algorithms
• Understating and experience in openCV library
• Fundamental understanding of mathematical techniques involved in ML and DL schemas (Instance-based methods, Boosting methods, PGM, Neural Networks etc.)
• Thorough understanding of state-of-the-art DL concepts (Sequence modeling, Attention, Convolution etc.) along with knack to imagine new schemas that work for the given data.
• Understanding of engineering principles and a clear understanding of data structures and algorithms
• Experience in writing production level codes using either C++ or Java
• Experience with technologies/libraries such as python pandas, numpy, scipy
• Experience with tensorflow and scikit.