11+ DVCS Jobs in India
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Bengaluru (Bangalore)
3 - 5 yrs
₹12L - ₹20L / yr
PythonCI/CD
DVCS
Machine Learning (ML)
Kubernetes +4 more
Introduction
http://www.synapsica.com/">Synapsica is a https://yourstory.com/2021/06/funding-alert-synapsica-healthcare-ivycap-ventures-endiya-partners/">series-A funded HealthTech startup founded by alumni from IIT Kharagpur, AIIMS New Delhi, and IIM Ahmedabad. We believe healthcare needs to be transparent and objective while being affordable. Every patient has the right to know exactly what is happening in their bodies and they don't have to rely on cryptic 2 liners given to them as a diagnosis.
Towards this aim, we are building an artificial intelligence enabled cloud based platform to analyse medical images and create v2.0 of advanced radiology reporting. We are backed by IvyCap, Endia Partners, YCombinator and other investors from India, US, and Japan. We are proud to have GE and The Spinal Kinetics as our partners. Here’s a small sample of what we’re building: https://www.youtube.com/watch?v=FR6a94Tqqls">https://www.youtube.com/watch?v=FR6a94Tqqls
Your Roles and Responsibilities
We are looking for an experienced MLOps Engineer to join our engineering team and help us create dynamic software applications for our clients. In this role, you will be a key member of a team in decision making, implementations, development and advancement of ML operations of the core AI platform.
Roles and Responsibilities:
- Work closely with a cross functional team to serve business goals and objectives.
- Develop, Implement and Manage MLOps in cloud infrastructure for data preparation,deployment, monitoring and retraining models
- Design and build application containerisation and orchestrate with Docker and Kubernetes in AWS platform.
- Build and maintain code, tools, packages in cloud
Requirements:
- At Least 2+ years of experience in Data engineering
- At Least 3+ yr experience in Python with familiarity in popular ML libraries.
- At Least 2+ years experience in model serving and pipelines
- Working knowledge of containers like kubernetes , dockers, in AWS
- Design distributed systems deployment at scale
- Hands-on experience in coding and scripting
- Ability to write effective scalable and modular code.
- Familiarity with Git workflows, CI CD and NoSQL Mongodb
- Familiarity with Airflow, DVC and MLflow is a plus
Read more
Pune, Bengaluru (Bangalore), Chennai, Mumbai, Gurugram, Nashik
5 - 10 yrs
₹20L - ₹22L / yr
Data ScienceKofax
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
Bengaluru (Bangalore)
4 - 6 yrs
₹30L - ₹45L / yr
Data engineering
Data Engineer
ScalaData Warehouse (DWH)
Big Data
+7 more
It is the leader in capturing technographics-powered buying intent, helps
companies uncover the 3% of active buyers in their target market. It evaluates
over 100 billion data points and analyzes factors such as buyer journeys, technology
adoption patterns, and other digital footprints to deliver market & sales intelligence.
Its customers have access to the buying patterns and contact information of
more than 17 million companies and 70 million decision makers across the world.
Role – Data Engineer
Responsibilities
Work in collaboration with the application team and integration team to
design, create, and maintain optimal data pipeline architecture and data
structures for Data Lake/Data Warehouse.
Work with stakeholders including the Sales, Product, and Customer Support
teams to assist with data-related technical issues and support their data
analytics needs.
Assemble large, complex data sets from third-party vendors to meet business
requirements.
Identify, design, and implement internal process improvements: automating
manual processes, optimizing data delivery, re-designing infrastructure for
greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation, and
loading of data from a wide variety of data sources using SQL, Elasticsearch,
MongoDB, and AWS technology.
Streamline existing and introduce enhanced reporting and analysis solutions
that leverage complex data sources derived from multiple internal systems.
Requirements
5+ years of experience in a Data Engineer role.
Proficiency in Linux.
Must have SQL knowledge and experience working with relational databases,
query authoring (SQL) as well as familiarity with databases including Mysql,
Mongo, Cassandra, and Athena.
Must have experience with Python/Scala.
Must have experience with Big Data technologies like Apache Spark.
Must have experience with Apache Airflow.
Experience with data pipeline and ETL tools like AWS Glue.
Experience working with AWS cloud services: EC2, S3, RDS, Redshift.
companies uncover the 3% of active buyers in their target market. It evaluates
over 100 billion data points and analyzes factors such as buyer journeys, technology
adoption patterns, and other digital footprints to deliver market & sales intelligence.
Its customers have access to the buying patterns and contact information of
more than 17 million companies and 70 million decision makers across the world.
Role – Data Engineer
Responsibilities
Work in collaboration with the application team and integration team to
design, create, and maintain optimal data pipeline architecture and data
structures for Data Lake/Data Warehouse.
Work with stakeholders including the Sales, Product, and Customer Support
teams to assist with data-related technical issues and support their data
analytics needs.
Assemble large, complex data sets from third-party vendors to meet business
requirements.
Identify, design, and implement internal process improvements: automating
manual processes, optimizing data delivery, re-designing infrastructure for
greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation, and
loading of data from a wide variety of data sources using SQL, Elasticsearch,
MongoDB, and AWS technology.
Streamline existing and introduce enhanced reporting and analysis solutions
that leverage complex data sources derived from multiple internal systems.
Requirements
5+ years of experience in a Data Engineer role.
Proficiency in Linux.
Must have SQL knowledge and experience working with relational databases,
query authoring (SQL) as well as familiarity with databases including Mysql,
Mongo, Cassandra, and Athena.
Must have experience with Python/Scala.
Must have experience with Big Data technologies like Apache Spark.
Must have experience with Apache Airflow.
Experience with data pipeline and ETL tools like AWS Glue.
Experience working with AWS cloud services: EC2, S3, RDS, Redshift.
Read more
Remote only
8 - 16 yrs
₹20L - ₹50L / yr
Data ScienceMachine Learning (ML)Pythonsagemaker
Go Programming (Golang) +9 more
Data Scientist Lead / Manager
Job Description:
We are looking for an exceptional Data Scientist Lead / Manager who is passionate about data and motivated to build large scale machine learning solutions to shine our data products. This person will be contributing to the analytics of data for insight discovery and development of machine learning pipeline to support modeling of terabytes of daily data for various use cases.
Location: Pune (Initially remote due to COVID 19)
*****Looking for someone who can start immediately / Within a month. Hands-on experience in Python programming (Minimum 5 Years) is a must.
About the Organisation :
- It provides a dynamic, fun workplace filled with passionate individuals. We are at the cutting edge of advertising technology and there is never a dull moment at work.
- We have a truly global footprint, with our headquarters in Singapore and offices in Australia, United States, Germany, United Kingdom and India.
- You will gain work experience in a global environment. We speak over 20 different languages, from more than 16 different nationalities and over 42% of our staff are multilingual.
Qualifications:
• 8+ years relevant working experience
• Master / Bachelors in computer science or engineering
• Working knowledge of Python and SQL
• Experience in time series data, data manipulation, analytics, and visualization
• Experience working with large-scale data
• Proficiency of various ML algorithms for supervised and unsupervised learning
• Experience working in Agile/Lean model
• Experience with Java and Golang is a plus
• Experience with BI toolkit such as Tableau, Superset, Quicksight, etc is a plus
• Exposure to building large-scale ML models using one or more of modern tools and libraries such as AWS Sagemaker, Spark ML-Lib, Dask, Tensorflow, PyTorch, Keras, GCP ML Stack
• Exposure to modern Big Data tech such as Cassandra/Scylla, Kafka, Ceph, Hadoop, Spark
• Exposure to IAAS platforms such as AWS, GCP, Azure
Typical persona: Data Science Manager/Architect
Experience: 8+ years programming/engineering experience (with at least last 4 years in Data science in a Product development company)
Type: Hands-on candidate only
Must:
a. Hands-on Python: pandas,scikit-learn
b. Working knowledge of Kafka
c. Able to carry out own tasks and help the team in resolving problems - logical or technical (25% of job)
d. Good on analytical & debugging skills
e. Strong communication skills
Desired (in order of priorities)
a.Go (Strong advantage)
b. Airflow (Strong advantage)
c. Familiarity & working experience on more than one type of database: relational, object, columnar, graph and other unstructured databases
d. Data structures, Algorithms
e. Experience with multi-threaded and thread sync concepts
f. AWS Sagemaker
g. Keras
Job Description:
We are looking for an exceptional Data Scientist Lead / Manager who is passionate about data and motivated to build large scale machine learning solutions to shine our data products. This person will be contributing to the analytics of data for insight discovery and development of machine learning pipeline to support modeling of terabytes of daily data for various use cases.
Location: Pune (Initially remote due to COVID 19)
*****Looking for someone who can start immediately / Within a month. Hands-on experience in Python programming (Minimum 5 Years) is a must.
About the Organisation :
- It provides a dynamic, fun workplace filled with passionate individuals. We are at the cutting edge of advertising technology and there is never a dull moment at work.
- We have a truly global footprint, with our headquarters in Singapore and offices in Australia, United States, Germany, United Kingdom and India.
- You will gain work experience in a global environment. We speak over 20 different languages, from more than 16 different nationalities and over 42% of our staff are multilingual.
Qualifications:
• 8+ years relevant working experience
• Master / Bachelors in computer science or engineering
• Working knowledge of Python and SQL
• Experience in time series data, data manipulation, analytics, and visualization
• Experience working with large-scale data
• Proficiency of various ML algorithms for supervised and unsupervised learning
• Experience working in Agile/Lean model
• Experience with Java and Golang is a plus
• Experience with BI toolkit such as Tableau, Superset, Quicksight, etc is a plus
• Exposure to building large-scale ML models using one or more of modern tools and libraries such as AWS Sagemaker, Spark ML-Lib, Dask, Tensorflow, PyTorch, Keras, GCP ML Stack
• Exposure to modern Big Data tech such as Cassandra/Scylla, Kafka, Ceph, Hadoop, Spark
• Exposure to IAAS platforms such as AWS, GCP, Azure
Typical persona: Data Science Manager/Architect
Experience: 8+ years programming/engineering experience (with at least last 4 years in Data science in a Product development company)
Type: Hands-on candidate only
Must:
a. Hands-on Python: pandas,scikit-learn
b. Working knowledge of Kafka
c. Able to carry out own tasks and help the team in resolving problems - logical or technical (25% of job)
d. Good on analytical & debugging skills
e. Strong communication skills
Desired (in order of priorities)
a.Go (Strong advantage)
b. Airflow (Strong advantage)
c. Familiarity & working experience on more than one type of database: relational, object, columnar, graph and other unstructured databases
d. Data structures, Algorithms
e. Experience with multi-threaded and thread sync concepts
f. AWS Sagemaker
g. Keras
Read more
Bengaluru (Bangalore)
3 - 12 yrs
₹5L - ₹30L / yr
Spark
Hadoop
Big Data
Data engineering
PySpark
+6 more
Responsibilities:
- Should act as a technical resource for the Data Science team and be involved in creating and implementing current and future Analytics projects like data lake design, data warehouse design, etc.
- Analysis and design of ETL solutions to store/fetch data from multiple systems like Google Analytics, CleverTap, CRM systems etc.
- Developing and maintaining data pipelines for real time analytics as well as batch analytics use cases.
- Collaborate with data scientists and actively work in the feature engineering and data preparation phase of model building
- Collaborate with product development and dev ops teams in implementing the data collection and aggregation solutions
- Ensure quality and consistency of the data in Data warehouse and follow best data governance practices
- Analyse large amounts of information to discover trends and patterns
- Mine and analyse data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.\
Requirements
- Bachelor’s or Masters in a highly numerate discipline such as Engineering, Science and Economics
- 2-6 years of proven experience working as a Data Engineer preferably in ecommerce/web based or consumer technologies company
- Hands on experience of working with different big data tools like Hadoop, Spark , Flink, Kafka and so on
- Good understanding of AWS ecosystem for big data analytics
- Hands on experience in creating data pipelines either using tools or by independently writing scripts
- Hands on experience in scripting languages like Python, Scala, Unix Shell scripting and so on
- Strong problem solving skills with an emphasis on product development.
- Experience using business intelligence tools e.g. Tableau, Power BI would be an added advantage (not mandatory)
Read more
Bengaluru (Bangalore)
4 - 7 yrs
₹10L - ₹20L / yr
Data SciencePythonMachine Learning (ML)
Deep LearningSQL
Work-days: Sunday through Thursday
Work shift: Day time
insights from large data sets.
• Experience in building ML pipelines with Apache Spark, Python
• Proficiency in implementing end to end Data Science Life cycle
• Experience in Model fine-tuning and advanced grid search techniques
• Experience working with and creating data architectures.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests and proper usage, etc.) and experience with applications.
• Excellent written and verbal communication skills for coordinating across teams.
• A drive to learn and master new technologies and techniques.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
• Develop company A/B testing framework and test model quality.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.
Key skills:
● Strong knowledge in Data Science pipelines with Python
● Object-oriented programming
● A/B testing framework and model fine-tuning
● Proficiency in using sci-kit, NumPy, and pandas package in python
Nice to have:
● Ability to work with containerized solutions: Docker/Compose/Swarm/Kubernetes
● Unit testing, Test-driven development practice
● DevOps, Continuous integration/ continuous deployment experience
● Agile development environment experience, familiarity with SCRUM
● Deep learning knowledge
Work shift: Day time
- Strong problem-solving skills with an emphasis on product development.
insights from large data sets.
• Experience in building ML pipelines with Apache Spark, Python
• Proficiency in implementing end to end Data Science Life cycle
• Experience in Model fine-tuning and advanced grid search techniques
• Experience working with and creating data architectures.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests and proper usage, etc.) and experience with applications.
• Excellent written and verbal communication skills for coordinating across teams.
• A drive to learn and master new technologies and techniques.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
• Develop company A/B testing framework and test model quality.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.
Key skills:
● Strong knowledge in Data Science pipelines with Python
● Object-oriented programming
● A/B testing framework and model fine-tuning
● Proficiency in using sci-kit, NumPy, and pandas package in python
Nice to have:
● Ability to work with containerized solutions: Docker/Compose/Swarm/Kubernetes
● Unit testing, Test-driven development practice
● DevOps, Continuous integration/ continuous deployment experience
● Agile development environment experience, familiarity with SCRUM
● Deep learning knowledge
Read more
Global internet of things connected solutions provider(H1)
Agency job
via Multi Recruit by Santhosh Kumar KR
Bengaluru (Bangalore)
2 - 5 yrs
₹8L - ₹10L / yr
Data ScienceComputer Vision
Machine Learning (ML)- Required to work individually or as part of a team on data science projects and work closely with lines of business to understand business problems and translate them into identifiable machine learning problems which can be delivered as technical solutions.
- Build quick prototypes to check feasibility and value to the business.
- Design, training, and deploying neural networks for computer vision and machine learning-related problems.
- Perform various complex activities related to statistical/machine learning.
- Coordinate with business teams to provide analytical support for developing, evaluating, implementing, monitoring, and executing models.
- Collaborate with technology teams to deploy the models to production.
Key Criteria:
- 2+ years of experience in solving complex business problems using machine learning.
- Understanding and modeling experience in supervised, unsupervised, and deep learning models; hands-on knowledge of data wrangling, data cleaning/ preparation, dimensionality reduction is required.
- Experience in Computer Vision/Image Processing/Pattern Recognition, Machine Learning, Deep Learning, or Artificial Intelligence.
- Understanding of Deep Learning Architectures like InceptionNet, VGGNet, FaceNet, YOLO, SSD, RCNN, MASK Rcnn, ResNet.
- Experience with one or more deep learning frameworks e.g., TensorFlow, PyTorch.
- Knowledge of vector algebra, statistical and probabilistic modeling is desirable.
- Proficiency in programming skills involving Python, C/C++, and Python Data Science Stack (NumPy, SciPy, Pandas, Scikit-learn, Jupyter, IPython).
- Experience working with Amazon SageMaker or Azure ML Studio for deployments is a plus.
- Experience in data visualization software such as Tableau, ELK, etc is a plus.
- Strong analytical, critical thinking, and problem-solving skills.
- B.E/ B.Tech./ M. E/ M. Tech in Computer Science, Applied Mathematics, Statistics, Data Science, or related Engineering field.
- Minimum 60% in Graduation or Post-Graduation
- Great interpersonal and communication skills
Read more
Pune
2 - 5 yrs
₹5L - ₹10L / yr
Pandas
Numpy
Bash
Structured Query Language
Python +2 more
We are an early stage startup working in the space of analytics, big data, machine learning, data visualization on multiple platforms and SaaS.
We have our offices in Palo Alto and WTC, Kharadi, Pune and got some marque names as our customers.
We are looking for really good Python programmer who MUST have scientific programming experience (Python, etc.)
Hands-on with numpy and the Python scientific stack is a must.
Demonstrated ability to track and work with 100s-1000s of files and GB-TB of data.
Exposure to ML and Data mining algorithms.
Need to be comfortable working in a Unix environment and SQL.
You will be required to do following:
Using command line tools to perform data conversion and analysis
Supporting other team members in retrieving and archiving experimental results
Quickly writing scripts to automate routine analysis tasks
Creating insightful, simple graphics to represent complex trends
Explore/design/invent new tools and design patterns to solve complex big data problems
Experience working on a long-term, lab-based project (academic experience acceptable)
Read more
market-leading fintech company dedicated to providing credit
Agency job
via Talent Socio Bizcon LLP by Hema Latha N
Noida, NCR (Delhi | Gurgaon | Noida)
1 - 4 yrs
₹8L - ₹18L / yr
Analytics
Predictive analytics
Linear regression
Logistic regression
Python +1 more
Job Description :
Role : Analytics Scientist - Risk Analytics
Experience Range : 1 to 4 Years
Job Location : Noida
Key responsibilities include
•Building models to predict risk and other key metrics
•Coming up with data driven solutions to control risk
•Finding opportunities to acquire more customers by modifying/optimizing existing rules
•Doing periodic upgrades of the underwriting strategy based on business requirements
•Evaluating 3rd party solutions for predicting/controlling risk of the portfolio
•Running periodic controlled tests to optimize underwriting
•Monitoring key portfolio metrics and take data driven actions based on the performance
Business Knowledge:
Develop an understanding of the domain/function. Manage business process (es) in the work area. The individual is expected to develop domain expertise in his/her work area.
Teamwork:
Develop cross site relationships to enhance leverage of ideas. Set and manage partner expectations. Drive implementation of projects with Engineering team while partnering seamlessly with cross site team members
Communication:
Responsibly perform end to end project communication across the various levels in the organization.
Candidate Specification:
Skills:
• Knowledge of analytical tool - R Language or Python
• Established competency in Predictive Analytics (Logistic & Regression)
• Experience in handling complex data sources
•Dexterity with MySQL, MS Excel is good to have
•Strong Analytical aptitude and logical reasoning ability
•Strong presentation and communication skills
Preferred:
•1 - 3 years of experience in Financial Services/Analytics Industry
•Understanding of the financial services business
• Experience in working on advanced machine learning techniques
If interested, please send your updated profile in word format with below details for further discussion at the earliest.
1. Current Company
2. Current Designation
3. Total Experience
4. Current CTC( Fixed & Variable)
5. Expected CTC
6. Notice Period
7. Current Location
8. Reason for Change
9. Availability for face to face interview on weekdays
10.Education Degreef the financial services business
Thanks & Regards,
Hema
Talent Socio
Read more
Chennai
1 - 4 yrs
₹2L - ₹10L / yr
Business Intelligence (BI)
Analytics
SQL server
Data Visualization
Tableau
+7 more
Title: Analyst - Business AnalyticsExperience: 1 - 4 YearsLocation: ChennaiOpen Positions: 17Job Description:Roles & Responsibilities:- Designing and implementing analytical projects that drive business goals and decisions leveraging structured and unstructured data.- Generating a compelling story from insights and trends in a complex data environment.- Working shoulder-to-shoulder with business partners to come up with creative approaches to solve the business problem.- Creating dashboards for business heads by exploring available data assets.Qualifications:- Overall 1+ Years of Business Analytics experience with strong communication skills.- Bachelor or Master degree in computer science is preferred.- Excellent problem solving and client orientation skills.Skills Required:- Ability to program in Advanced SQL is must.- Hands-on experience in Modeling tools such as R or Python- Experience in Visualization tools such as Power BI, Tableau, Looker, etc., would be a big plus.- Analytics certifications from recognized platforms would be a plus - Udemy, Coursera, EDX,etc.
Read more
NCR (Delhi | Gurgaon | Noida), Mumbai
2 - 7 yrs
₹10L - ₹30L / yr
Data SciencePythonPerl
DjangoMachine Learning (ML) +1 more
About the job:
- You will architect, code and deploy ML models (from scratch) to predict credit risk.
- You will design, run, and analyze A/B and multivariate tests to test hypotheses aimed at optimizing user experience and portfolio risk.
- You will perform data exploration and build statistical models on user behavior to discover opportunities for decreasing user defaults. And you must truly be excited about this part.
- You’ll use behavioral and social data to gain insights into how humans make financial choices
- You will spend a lot of time in building out predictive features from super sparse data sources.
- You’ll continually acquire new data sources to develop a rich dataset that characterizes risk.
- You will code, drink, breathe and live python, sklearn and pandas. It’s good to have experience in these but not a necessity - as long as you’re super comfortable in a language of your choice.
About you:
- You’ve strong computer science fundamentals
- You’ve strong understanding of ML algorithms
- Ideally, you have 2+ years of experience in using ML in industry environment
- You know how to run tests and understand their results from a statistical perspective
- You love freedom and hate being micromanaged. You own products end to end
- You have a strong desire to learn and use the latest machine learning algorithms
- It will be great if you have one of the following to share - a kaggle or a github profile
- Degree in statistics/quant/engineering from Tier-1 institutes.
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