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Ta ...bleau
SQL
Machine Learning
DevOps and continuous integration
Agile wow and test-driven development
Distributed computing
Linux, Spark and Hadoop eco system
Azure/AWS/GCP/Cloudera/Hadoop
Software development best practices
Python/Scala/Java
Docker, Kubernetes
Experience with Azure
Data structure and algorithm
RDBMS and NoSQL databases, good skill with SQL
Looking for experienced Data Scientist
SQL
MongoDb
Exp in automating jobs & scripts
Other Skills
Business Analytics/ Data Analytics& Insights
Exp in Hypothesis Testing & Forecasting
Position has end-to-end responsibility from ideation to execution
...Advanced excel is mandatory. ...
Project delivery : NA
MSBI, SSIS, SSRS, SQL, Python, Azure
...POWER BI, DAX, SQL, AZURE
...
Strong Python programming skills and work experience in Unix Linux environment
Good computational and data visualization capability experience to aid results interpretations
Apply knowledge to build state of the art analytics and computational pipelines
Strong communication skills
Demonstrated written and oral commu ...nication skills with the ability to lead projects in a team environment
Demonstrated project management and time management skills
Attention to detail critical thinking, and analytical ability
Create Bioinformatics team, opportunity to build a great team on healthcare analytics
Focus on gut microbiome and ageing related diseases with power of data and AI.
Perform R&D and implementation and provide effective solutions for short term and long term needs.
Discover customer and patient findings potential insights using advanced analytics techniques such as NLP, statistical analysis, machine learning
Understand and recommend open source technologies and as well as a partnership driven approach like AWS Azure .
More
Project delivery : NA
Essential Duties and Responsibilities:
? Develops, codes software programs, implements industry standard auto ML models Statistical models, relevant ML models (devices/machine acquired data), AI models and algorithms.
? Analyze, review and track trends and tools in Data Science, Machine Learning, Augmented Intelligence, Artificial Intelligence
? Interacts with Cross functional t
...eams to identify questions and issues for data engineering, ML models feature engineering.
? Identifies meaningful foresights based on predictive ML models from large data and metadata sources; interprets and communicates foresights, insights and findings from experiments to product managers, service managers, business partners and business managers.
? Recommends research and experiments (e.g. for various ML models) on customer specific data to come out with foresights and insights to solve customer specific business problems and bring efficiencies in customer specific business processes
? Evaluate and make recommendations to evolve data collection to improve efficacy of ML models prediction.
? Evaluate and define new data to collect for products or services under consideration for development or in development cycle based on experiments and feature engineering results and needs
? Leads and develop Data Scientists within the team
? Meet with stakeholders - present findings, predictions, foresights; Gather customer specific requirements of business problems/processes; Identify data collection constraints and alternatives for implementation of predictive models.
Education: Bachelor?s degree. Advanced degree ? masters or PhD - strongly preferred in Statistics, Mathematics, Data/Computer Science or related discipline.
? Knowledge of Statistical method ? Analyze data using statistical methods
? Machine Learning model implementation experience on one or more of ? Classification models
? Knowledge or working experience of Artificial Intelligence system on one or more of Case-based reasoning systems, rule-based systems, artificial neural networks, cellular automata, fuzzy models, genetic algorithms, multi-agent systems, reinforced learning, hybrid systems.
? Working knowledge of Data engineering - Big Data, Hadoop, Cassandra, Spark R, RDBMS DB SQL, N-SQL DB, Big-Query, Documents stores etc. Hands-on experience preferred
? Experience with Data Science tools such as Python. Experience with Visualisation Tools such as Tableau, D3.js
? Strong communication skills including written, verbal and oral presentation skills as well as ability to effectively present information and respond to questions from senior management, managers, clients, partners, data scientists, architects and customers. Comfortable with presenting to senior management and CxO level executives
? Self-motivated and self-starter with high degree of work ethic with ability to thrive in a fast-paced, entrepreneurial, high-energy environment that requires multi-tasking capabilities and implement high priority initiatives
? Planning and Execution Skills
Position - Senior CDP Engineer
Must Have
Overall 5 years of experience with at least 3 years of experience in implementing various use cases in Customer Data Platform (CDP)
Hands on experience of working on Customer Data Platforms (CDP) like Sales Force Audience 360, Tealium AudienceStream, Adobe Experience Platform
Working knowledge of how to configure data a ...ttributes, profile unification and segmentation rules within CDP
Working knowledge of configuring connectors for inbound and outbound data feeds in CDP from source and destination systems respectively
Certifications in Sales Force Audience 360 or Tealium AudienceStream
Good to Have
Prior Pharma experience
Hands on experience of configuring any one of the various Tag management tools like Google Tag Manager, Tealium IQ or Adobe Launch
Hands-on experience with the downstream Site Analytics engines and marketing automation engines e.g. Google Analytics, Adobe Analytics, Sales Force Marketing Cloud and social media platforms e.g. Hootsuite, Sprinklr
Understanding of different integration methodologies / techniques to build custom APIs for integrations between CDP and source systems
A good grasp on SQL and python
Expectations from role perspective -
Administration, analysis, design, development, user support and maintenance of Customer Data Platforms like SF Audience 360, Tealium AudienceStream etc.
Configure business rules and logic in Customer Data Platform (CDP)
Configure upstream and downstream connections in Customer Data Platform (CDP) with outside systems
Support business analyst in preparation of functional documents collaborate to refine and prioritize requirements
Work with internal amp external teams to analyze gaps in the data amp perform necessary analysis to recommend go-through implementation plan
Perform Proof of Concepts on CDP and enabled connections with other platforms like AWS Pinpoint, Oracle cloud, SFMC.
Test data efficacy, events and use case success
Manage timelines vis--vis those committed to clients
Perform stakeholder management
More
Python
SQL
ETL ...
Analytics, Data science, AI and at least 3 years of it into Marketing Analytics, Sales Analytics, Consumer Analytics , exposure to presales
JIRA, agile and scrum practices, User Acceptance Testing, UAT
...Strong experience with detailed code review till the level how the APIs are orchestrated, how the logics are returned
Someone who can work closely with developers and customers for code review.
Needs to WFO with developers and customers for code review. No Hybrid model or Remote work available.
Skill set
...Swift
Objective-C
IOS Developer More
Need senior people with 8+ Years of experience who can do code review.
Strong experience with detailed code review till the level how the APIs are orchestrated, how the logics are returned
Someone who can work closely with developers and customers for code review.
Needs to WFO with developers and customers for code review. No Hybrid model or Remote work available.
Skill set<
...br>Java
Kotlin
Android Developer
.net developer
...Python, django, pandas, api
...Java, springboot, microservices
...bluCognition is an AI/ML based start -up specializing in developing data products leveraging
alternative data sources and providing servicing support to our clients in financial services sector.
Founded in 2017, by some very named senior professionals from the financial services industry, the
company is headquartered in t ...he US, with the delivery centre based in Pune.
We build all our solutions while leveraging the latest technology stack in AI, ML and NLP combined
with decades of experience in risk manageme nt at some of the largest financial services firms in the
world. Our clients are some of the biggest and the most progressive names in the financial services
industry.
We are entering a significant growth phase and are looking for individuals with entrepre neurial
mindset who wants us to join in this exciting journey.
https//www.blucognition.com/
https//analytics indiamag.com/blucognition -a-new -force -in-analytics -data -science/
The Role
You will be managing the Merchant Underwriting team of 25 analysts for the merchant acquiring
portfolio of a US based client, who is an industry leader and one of the most valued fintech globally.
Responsibilities
1. End to end responsibility of managing the functioning of the team of Underwriters .
2. End to end process ownership. This requires understanding and ensuring delivery as per defined
SLAs.
3. Develop and maintain detailed M IS to track the effectiveness and SLAs of the team.
4. Have regular calls with the clients and advise them of any optimization opportunities.
5. Ad -hoc review of the Underwriting done by the team, for accuracy and correctness and train and
coach the team as re quired.
6. You will be the key point of contact for the clients and will also take ownership of on -boarding of
any new sub process from the client.
Experience
1. Min imum 8 Years, of 3 Years related to merchant underwriting and/or commercial lending and
2-Year s Team Handling experience.
2. Expertise in reviewing audited and unaudited financial documents of companies of different
sizes (small, medium, and large listed and unlisted corporations).
3. Solid understanding of off balance sheet items and how they should b e treated to evaluate the
credit risk of the customers.
4. Familiarity with IFRS US GAAP accounting principles.
Qualification Skills
1. Bachelors or Masters qualification in related field like accounting, economics, business
management, statistics, etc.
2. Proficient in MS Office.
3. Good communication skill, with proficiency in English and to be able to communicate with
the US based client di rectly. More
Job Description
In terms of technology - the client is using Microsoft SQL Server, AWS, Airbus Cloud, Data Lake
Responsibilities
Analyze and organize raw data
Build data systems and pipelines
Evaluate business needs and objectives
Interpret trends and patterns
Conduct complex data analysis and report on results
Prepare data for prescr ...iptive and predictive modeling
Build algorithms and prototypes
Combine raw information from different sources
Explore ways to enhance data quality and reliability
Identify opportunities for data acquisition
Develop analytical tools and programs
Collaborate with data scientists and architects on several projects
Requirements and skills
Previous experience as a data engineer or in a similar role
Technical expertise with data models, data mining, and segmentation techniques
Knowledge of programming languages (e.g. Java and Python)
Hands-on experience with SQL database design
Great numerical and analytical skills
Degree in Computer Science, IT, or similar field a Masters is a plus
Data engineering certification is a plus
More
These people will be responsible working in a variety of settings to
build systems that collect, manage, and convert raw data into usable
information for data scientists and business analysts to interpret. Their
ultimate goal is to make data accessible so that organizations can use it to
evaluate and optimize their performance.
They will be typically responsible for building
data pipe
...lines to bring together information from different source systems.
python, machine learning
...Provide operational support for AI/ML systems required to solve various business needs for
Credit card service.
Collect analytics data and monitor AI/ML systems and related network performance.
Conduct analyses and interpret results to guide decisions related to AI/ML platform.
Apply cutting edge technologies and tool chain in AI to build and operate Credit Cards AI
platform
P
...ropose creative solutions in field of AI tools creations and cloud platforms (GCP)
Collaborate with cross functional teams to define, design, and ship new features
Continuous integration continuous delivery, in an onpremises or public cloud environment
Ensure good quality and performance of product features
Collaborative work with remote teams
Requirements
Bachelors degree or the equivalent in education and experience advanced degree preferred
3+ years of related experience working with AI/ML platform operations
5+ years of data analytics, migration experience with expertise.
Experience with Scikit learn, TensorFlow, Keras, Jupyter.
Solid experience of working with Google Cloud Run Operations.
Experience with Networking and command line operations.
Experience working with large data sets and writing efficient code capable of processing large
data streams at speed
Experience in containerization virtualization platforms, e.g. Docker Kubernetes.
Ability to work with people of varying levels of technical experience and translate complex
technical information appropriately
Independent Integration Developer with over 3 plus years of experience in developing and delivering integration projects in an agile or waterfall based project environment
Proficient in the use of Informatica IICS API integration tool set
Proficient in Swagger, JSON, XML, SOAP and REST based web service development ...
Good knowledge in microservice architectures REST principles MQTT standards and Queuing technology
Experience in connecting to various API connection types and debugging connection issues using Postman and SOAPUI.
Experience in stubbing interfaces and outputs using appropriate technology to remove dependencies of upstream and downstream systems ready to use the integrations
Experience in Microsoft DevOps and integrating IICS platform into DevOps
Experience in using API management gateways like Google APIGEE
Strong Scripting experience and experience in using at least one programming language like Python or SCALA.
More
Experience in architecting with AWS or Azure Cloud Data Platform
Successfully implemented largescale data warehouse data lake solutions in snowflake or AWS Redshift
Be proficient in Data modelling and data architecture design experienced in reviewing 3rd Normal Form and Dimensional models.
Experience i ...n implementing Master data management, process design and implementation
Experience in implementing Data quality solutions including processes
Experience in IOT Design using AWS or Azure Cloud platforms
Experience designing and implementing machine learning solutions as part of high volume data ingestion and transformation
Experience working with structured and unstructured data including geo spatial data
Experience in technologies like python, SQL, no SQL, KAFKA, Elastic Search
Hands on experience using snowflake, informatica, azure logic apps, azure functions, azure storage, azure data lake and azure search.
More
Python developer, Flask, Django, Python tech lead
...Working on EMR good knowledge of CDK and setting up ETL and Data pipeline
Python
AWS EMR Athena Super glue Sagemaker Glue Studio ETL
Data security encryption
ML AI
Pipeline
Redshift
AWS Lambda
devops
data modelling
...1. Should be aware of Pharma related processes and standards, relevant experience in pharma domain.
2. Should be aware of Automation anywhere/Jiffy/Qlik platforms, relevant experience in similar tools.
3. Should be aware of Agile Methodology, relevant experience is preferred.
4. Should be aware of integration methodology for Qlik/BI To ...ols & Automation requirements across multiple source systems ? e.g. SAP, SharePoint, Azure, Data Lake etc.
5. Facilitate business engagement and understand business context of automation.
6. Communicating and collaborating with internal and external team to analyze informational needs and functional requirements, delivering use cases, GUI, screen and interface design.
7. Transform data into business intelligence by generating relevant information and recommendations for improving organization performance
8. Understand and gather business requirements and translate to the development team
(RPA and BI Tools)
9. Define user acceptance & testing strategies
10. Manage stake holders and project deliverables.
11. Creating and maintaining functional design documentation ? Wireframe/Mock-ups/BRD/User manuals/Benefit trackers/PDD etc
More
The candidate needs to have good understanding and knowledge about traditional machine learning regression classification clustering etc
The candidate should have sound statistics knowledge descriptive and inferential statistics
Good to have Deep Learning but the client is not very particular
The candidate should have good SQL skills. The candidate should ...be able to write SQL queries, though highly optimized query writing is not expected
The candidate should be able to work as individual contributor on a project own the project should be good at presentation and communication.
More
Deep and relevant contact center industry experience
Experience developing solutions using Amazon Connect, Pinpoint, Lex, Lambda, Cloudfront, Cloudwatch and other AWS Machine Learning services
Experience and expertise building integrations across SSO / AD, CRM, Case management, WFM and other related contact center solutions
Experience with software development using on ...e or more development or scripting languages (e.g. Java, Python, Golang, Node.js, PowerShell, c)
Experience using and leveraging APIs
Understanding of the software development lifecycle and concepts such as agile, SCRUM, CI/CD, and DevOps
Self-starter with deep hands-on work experience with production implementations on public cloud providers within large enterprises
2 years project experience architecting, building, and supporting cloud-based solutions on AWS
More
Required Skills
Should be able to do programming in Python, Csharp, and SQL
Writing effective and scalable Python codes
Designing and implementing robust web applications
Integration of the application with SQL databases
Proficiency in excel is desirable
Good to have hands on experience with flask Python Web Framework IIS Web h ...osting
Roles and responsibilities
The person will be responsible for the development and maintenance of web applications The primary focus will be the development of applications and their integration with front-end and
back-end services, SQL databases
The person will be working with different stakeholders, Therefore, commitment to collaborative
problem solving and creating quality products is essential More
As MDM CE Lead, you are responsible for MDM CE Solution, design, development, unit
testing, and integration testing. You will define, deliver, and support the data solutions. You
are responsible for th e setup, configuration, development, and ongoing operation of our
Informatica MDM and MDS solutions.
Responsibilities
... Responsible for MDM CE and product Modeling.
Demonstrate expertise in MDM Data Model MDM architecture
Man age Import and export of data solutions. Hands on the Trigo script and Java
coding
MDM Workflow and validation knowledge.
MDM Logging debugging/troubleshooting responsibilities
Required Technical and Professional Expertise
Minimum 5 years of experience required in administering, configuring, and
developing solutions in Informatica MDM and MDS
Experience in MDM development on all components (cleanse, security,
Packages/Queries, Hierarchy Management etc)
Proficient in Provisioning tool Triggers/Task Types
Expertise in Active VOS workflow development and customization
Experience in UI development, creating layouts etc on Business Entity Framework
Experience in Business Entity Services
External Calls development -Development exp on Hierarchy development on BE
framework
Preferred Technical and Professional Expertise
Java experience in writing Web services is preferred (External call development)
Experience in configuring the MDM File Import process -Elastic Search
configuration, You love collaborative environments that use agile methodologies to
encourage creative design thinking and find innovative ways to develop with cutting
edge technologies
Ambitious individual who can work under their own direction towards agreed
targets/goals and with creative approach to work
Intuitive individual with an ability to manage change and proven time management
Proven interpersonal skills while contributing to t eam effort by accomplishing related
results as needed
Up -to-date technical knowledge by attending educational workshops, reviewing
publications More
installing, configuring and maintaining SAS Application Server software and its integration with external systems and as a system administrator working with established change management processes
...We need someone who will be able to fix these and also possibly though not necessarily upgrade to a newer version nd pirate these reports to a new Pentaho version ...
Python
Hadoop ...
More
scription about the job More
Model Risk Management (MRM) department resides is broadly responsible for the risk management of all of the Firm?s models involving model validation, risk assessment, and governance and act as an effective second line of defence within the Firm. seeking a strong candidate to be a member of the MRM Mumbai team, focused on the review, validation and risk assessment of quantitative models used in
...both risk management and capital planning. These models will cover areas of traded credit and capital planning.
Primary Responsibilities
? Provide independent review and validation compliant with Model Risk Management policies and procedures, regulatory guidance and industry leading practices, including evaluating conceptual soundness, quality of modeling methodology, model limitations, data quality, and on-going monitoring for models
? Take initiatives and responsibility of end-to-end delivery of a stream of Model Risk Management related deliverables for Scenario Design models
? Follow financial markets & business trends on a frequent basis to enhance the quality of Model Risk Management.
? Write Model Risk Management findings in validation documents that could be used for presentations both internally (model developers, business unit managers) as well as externally (regulators).
? Verbally communicate results and debate issues, challenges and methodologies with internal audiences including senior management
? Represent Model Risk Management team in interactions with regulatory and audit agencies as required
Qualifications
Skills required (essential / preferred)
? Masters or Doctorate degree in a technical area such as Statistics, Mathematics, Physics or Engineering
? Experience in Validation of Capital Planning Models or Risk Models
? 4-6 years of work experience in a Quant role (preferably Model Validation) in a bank or financial institution
? Understanding of macroeconomics, markets, financial instruments and their interrelationships
? Experience in managing projects and managing a team o Quants
? Programming skills in Python, R or similar programming languages
? Relevant professional certifications like CQF, FRM, CFA are preferred
? Strong written & verbal communication skills including debating issues and making formal presentations
? Desire to work in a dynamic, team-oriented, fast-paced environment focusing on challenging tasks mixing fundamental, quantitative and market-oriented knowledge and skills.
12 - 18 Yrs
Any Tech M location
Experience of Infrastructure Data Centre Solution/Design
Experience into Data Center (Dc) Transformation, Implementation and Migration Solutions On
Infrastructure Comprising Compute, Storage, Virtualization, Consolidation Dr and Applications Etc
A Str ...ong Consulting Skill Set. - Work with Consultants and Sales Teams in Analyzing Business
Requirements, And Translating Them Into Workable Solutions.
Understanding of Multiple Solution Options That Cater to The Same Need and Ability to Choose The
Correct One For The Customer Context Provide End To End Solution Document For Infrastructure
Changes And Put Together A Detailed Plan Of Action For All Components Of An It Data Center
Environment Server, Storage, Backup And Recovery.
Hardware Sizing for X86 and Unix Servers (Dell, Cisco, Hp Etc) And Storage and Backup Proposed In The
Solution.
Size The Migration/Consolidat ion/New Build Effort Required for The Solution.
Preparing The Pricing Sheet in Accordance with The Customers Input.
Work Closely with OEM Partners to Qualify Right Fit Products Both from Technical and Commercial
Perspective
Working Closely with The Cust omers, Business Teams, Technical Solutions Architect and Program / Project
Management Team, To Provide Technical Solutions
Initiated Pre -Sales Activities, Consulting Services and Products Developed Projects Scopes (Sow, Scope Of
Work) And Prepared Propos als.
Detail and High Level Designing Experience Across Multiple Technologies
Ability To Compartmentalize (Or Normalize) Capex (Capital Expenditure) And Opex (Operation
Expenditure) Of Various Projects/Programs For Presenting Data To Customer Top Management
Ability To Present High Level Roi (Return On Investment) And Total Cost Of Ownership (Tco) Figures To
Customer Senior Management During Presentation And Discussions Deep Understanding On Various
Aspects Of Technology Such As
1. Servers (Unix And Wintel)
2. Consolidation And Virtualization
3. Storage And Backup
4. Database (O racle/Sql/Exadata) 5. Dr And Bcp Solution
Posting ID Skill Level LOCATION Exp Budget Notice Period
TechM49217 Solution Architect P1 Mumbai 12 -16 Yrs 29 LPA 60 Days
Mode of hiring Sub -con and Lateral acceptable More
Should have worked on atleast 2 data quality project
· Implemented the Data Governance solution for one project . Ability to define the data catalog, business glossary and data lineage for the source data
· Experience in using cloud based data governance tools
· Hands on experience on Data Governance tool Atlan if not similar tools like Collibra, Ala
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.../p>
More
Data wrangling with Python, Sql, php
...
Core responsibilities:
- Delivery of general maintenance tasks, including installation support of desktop maintenance to ensure the greatest level of stability, usability and availability is upheld at all times
- Keep users up to date with alerts, documentation, and any other tool specific information
- Migration of ch ...ange through the Development and Testing environments
- On-going maintenance and day-to-day support of the Tableau Desktop and related reports
A focus on continuous improvement and a big picture view Incident, problem and service outage management
Managing/Administering Connections of data sources
Develop metrics reporting in Tableau for management reporting
Managing support tickets for creation to closure.
Skills & Experience:
· Required skills:
o 3-5 years of relevant IT experience
o 2+ years experience in Tableau Admin
o Ability to work autonomously and provide technical expertise
o Experience working collaboratively across cross functional teams
o Experience developing workbooks from multiple data sources using data blending.
o Modify and troubleshoot existing reports and rebuilding or repointing existing reports to another data sources.
o Performance tuning of reports.
o Good understanding of database and Excel.
o Knowledge and experience in other tools such as Microsoft Power BI is desirable.
o Good communication skills.
Knowledge of Amazon cloud (EC2, RDS and S3) will be an added advantage.
More
About bluCognition:? bluCognition is an AI/ML based start-up specializing in risk analytics, data conversion and data enrichment capabilities. Founded in 2017, by some very named senior professionals from the financial services industry, the company is headquartered in the US, with the delivery centre based in Pune. We build all our solutions while leveraging the latest technology stack in
...AI, ML and NLP combined with decades of experience in risk management at some of the largest financial services firms in the world. Our clients are some of the biggest and the most progressive names in the financial services industry. We are entering a significant growth phase and are looking for individuals with entrepreneurial mindset who wants us to join in this exciting journey. The Role: The role is with Quadpay. Quadpay?s buy now, pay later platform gives savvy shoppers more freedom and flexibility to pay later anywhere. Customers can split any purchase in 4 installments over 6 weeks, with zero interest or hidden fees. Our ultimate goal: to create a world where everyone has access to the things they need and want from life. Together with Zip Co., Quadpay serves over 4.5 million customers and 30,000 merchants, with $3bn in annual payments globally. While continuing to grow exponentially in the US, the company is expanding internationally as well. Position: Analyst/Sr Analyst Credit Risk What will your day look like? Deliver risk solutions across credit risk (underwriting,?exposure controls and?line management) Work with stakeholders across product management, data science, and engineering to build relationship with the partner teams and drive implementation of risk strategies Manage challenging time constraints to ensure on-time delivery of projects Build credit analysis models and provide data-driven insight on improving efficiency and effectiveness of the credit risk systems. Generate risk management reports for monitoring of acceptance rates Evaluating existing and new data sources to identify opportunities for customized and optimized data solutions that address business needs Collect data, analyse, and identify key differentiating indicators for risk segmentation and for driving effective risk mitigation strategies.? Work closely with partner teams in identifying, evaluating, and recommending new data that helps in risk differentiation.? Analyse loss trends and simulate risk decisioning strategies that help optimize revenue, approval rates etc.? Work closely with data science team and recommends credit risk decisioning and model deployment strategy.? Build a risk scorecard that leverages both internal performance data and external performance data that will be leveraged for credit decisioning at both underwriting and account management reviews for existing customers.? Collates analysis and builds presentations that helps articulate the risk strategy for the leadership team.? To help us level up, you will ideally have: Quantitative background in engineering, statistics, math, economics, business, or related disciplines.? 1 years? experience in analysing data and using database query language (e.g. SQL) analysis and programming and developer tools such as Python, R , databricks in a finance or analytics field.? Experience in working with non-traditional data such as social media will be a big plus.? Prior model building experience is a plus but not critical.? Possesses analytical mindset and strong problem-solving skills. Attention to detail and ability to multitask.? Comfortable working in a fast-paced environment and dealing with ambiguity.? Possesses strong communication, interpersonal and presentation skills; and ability to engage and collaborate with multiple stakeholders across teams.? Extremely proactive communicator willing to raise flags when needed and keep team members informed of ongoing risk or fraud related activities
Advanced (PhD,Masters,Bachelors) degree in a Statistics, Engineering, Mathematics
field, Computer Science or other relevant disciplines
Have excellent conceptual understanding of Machine Learning and Deep Learning
algorithms
Interest in building End-to-End Machine Learning projects with full accountability
Excel in Data Wrangling, Cleaning, Feature Engineering and Data Visualizat
...ions
Must have strong experience in SQL, Python
Strong hands on Machine Learning experience across Classification, Clustering,
Regression, Ensemble Algorithms, Naive Bayes, Time Series etc
Solid understand of Statistical/ Computational concepts like Hypothesis Testing,
Statistical Inference, Design of Experiments, Data Structures
Hands on experience in Deep Learning knowledge across CNNs, RNNs, GANs, NLP
Applications, Computer Vision Applications, LSTMs, GRUs
Experience working in Cloud environment is a plus, not mandatory
Building Restful APIs with Flask, Docker Deployments is a plus, not mandatory
Have 2-6 years of experience in a role with similar skill set