Product Designing Expert (UI/UX)

Core Responsibilities:

• The MLE will design, build, test, and deploy scalable machine learning systems, optimizing model accuracy and efficiency
• Model Development: Algorithms and architectures span traditional statistical methods to deep learning along with employing LLMs in modern frameworks.
• Data Preparation: Prepare, cleanse, and transform data for model training and evaluation.
• Algorithm Implementation: Implement and optimize machine learning algorithms and statistical models.
• System Integration: Integrate models into existing systems and workflows.
• Model Deployment: Deploy models to production environments and monitor performance.
• Collaboration: Work closely with data scientists, software engineers, and other stakeholders.
• Continuous Improvement: Identify areas for improvement in model performance and systems.

Skills:

• Programming and Software Engineering: Knowledge of software engineering best practices (version control, testing, CI/CD).
• Data Engineering: Ability to handle data pipelines, data cleaning, and feature engineering. Proficiency in SQL for data manipulation + Kafka, Chaossearch logs, etc for troubleshooting; Other tech touch points are ScyllaDB (like BigTable), OpenSearch, Neo4J graph
• Model Deployment and Monitoring: MLOps Experience in deploying ML models to production environments.
• Knowledge of model monitoring and performance evaluation.

Required experience:

• Amazon SageMaker: Deep understanding of SageMaker's capabilities for building, training, and deploying ML models; understanding of the Sagemaker pipeline with ability to analyze gaps and recommend/implement improvements
• AWS Cloud Infrastructure: Familiarity with S3, EC2, Lambda and using these services in ML workflows
• AWS data: Redshift, Glue
• Containerization and Orchestration: Understanding of Docker and Kubernetes, and their implementation within AWS (EKS, ECS)

Skills: Aws, Aws Cloud, Amazon Redshift, Eks

Must-Haves

Machine Learning +Aws+ (EKS OR ECS OR Kubernetes) + (Redshift AND Glue) + Sagemaker

Notice period - 0 to 15days only

Hybrid work mode- 3 days office, 2 days at home

🚨 We’re Hiring: Sales & Marketing (Chillers) | 1–15 Years | Andheri, Mumbai 🚨

Looking for dynamic professionals with experience in chiller sales and marketing.

📍 Location: Andheri, Mumbai

💼 Experience: 1 to 15 years

📊 Industry: HVAC/Industrial Cooling/Engineering

👉 Must have relevant experience in chillers

👉 Strong communication & client-handling skills

·      Proficiency in Swift and Objective-C: These are the primary programming languages used for iOS development.

·      Experience with iOS frameworks: Such as SwiftUI and UIKit.

·      Knowledge of Apple's design principles and interface guidelines.

·      Familiarity with code versioning tools: Including GitHub.

·      Experience with RESTful APIs: For connecting iOS applications to back-end services.

Senior Data Scientist-Job Description

The Senior Data Scientist role is a creative problem solver who utilizes statistical/mathematical principles and modelling skills to uncover new insights that will significantly and meaningfully impact business decisions and actions.  She/he applies their data science expertise in identifying, defining, and executing state-of-art techniques for academic opportunities and business objectives in collaboration with other Analytics team members. The Senior Data Scientist will execute analyses & outputs spanning test design and measurement, predictive analytics, multivariate analysis, data/text mining, pattern recognition, artificial intelligence, and machine learning.

Key Responsibilities:

• Perform the full range of data science activities including test design and measurement, predictive/advanced analytics, and data mining, and analytic dashboards.
• Extract, manipulate, analyse & interpret data from various corporate data sources developing advanced analytic solutions, deriving key observations, findings, insights, and formulating actionable recommendations.
• Generate clearly understood and intuitive data science / advanced analytics outputs.
• Provide thought leadership and recommendations on business process improvement, analytic solutions to complex problems.
• Participate in best practice sharing and communication platform for advancement of the data science discipline.
• Coach and collaborate with other data scientists and data analysts.
• Present impact, insights, outcomes & recommendations to key business partners and stakeholders.
• Comply with established Service Level Agreements to ensure timely, high quality deliverables with value-add recommendations, clearly articulated key findings and observations.

Qualification:

• Bachelor's Degree (B.A./B.S.) or Master’s Degree (M.A./M.S.) in Computer Science, Statistics, Mathematics, Machine Learning, Physics, or similar degree
• 5+ years of experience in data science in a digitally advanced industry focusing on strategic initiatives, marketing and/or operations.
• Advanced knowledge of best-in-class analytic software tools and languages: Python, SQL, R, SAS, Tableau, Excel, PowerPoint.
• Expertise in statistical methods, statistical analysis, data visualization, and data mining techniques.
• Experience in Test design, Design of Experiments, A/B Testing, Measurement Science Strong influencing skills to drive a robust testing agenda and data driven decision making for process improvements
• Strong Critical thinking skills to track down complex data and engineering issues, evaluate different algorithmic approaches, and analyse data to solve problems.
• Experience in partnering with IT, marketing operations & business operations to deploy predictive analytic solutions.
• Ability to translate/communicate complex analytical/statistical/mathematical concepts with non-technical audience.
• Strong written and verbal communications skills, as well as presentation skills.

Personality fit 

Looking to hire a Backend developer, who wakes up every day with the zeal of learning something new - a mind that is always curious. Not only this, he should be proud to have a good experience on algorithms and understand his technology at the atomic level.

Preliminary requirements for the role

1. Should understand the architecture of Node Js language, and must have had at least 1 year of solid experience in writing robust code in this language.
2. Should be well versed with basic algorithms on ( array, Linked list, stack, queue)- Yes, we do ask questions associated with time and space complexity for the above-mentioned algorithms
3. Thorough understanding of MySQL, in that, creating all types of joins ( inner, outer, left, and right) on multiple tables, views, and triggers are a piece of cake for you.
4. Further, you should have a decent understanding of database designs so that you can make quick decisions about normalization, inclusion/exclusion of foreign keys, etc
5. Should have a decent understanding of code repository tool such as GitHub
6. Should be well versed with the basics of AWS ( understanding of cloud architecture would be a plus)
7. Should be aware of the commonly used encryption techniques such as JWT, API encryption, Token management, etc
8. Exposure to working in E-commerce related applications as well as in a startup environment would be an add on. 

Position Name: Software Developer

Required Experience: 3+ Years

Number of positions: 4

Qualifications: Master’s or Bachelor s degree in Engineering, Computer Science, or equivalent (BE/BTech or MS in Computer Science).

Key Skills: Python, Django, Ngnix, Linux, Sanic, Pandas, Numpy, Snowflake, SciPy, Data Visualization, RedShift, BigData, Charting

Compensation - As per industry standards.

Joining - Immediate joining is preferrable.

Required Skills:

• Strong Experience in Python and web frameworks like Django, Tornado and/or Flask
• Experience in data analytics using standard python libraries using Pandas, NumPy, MatPlotLib
• Conversant in implementing charts using charting libraries like Highcharts, d3.js, c3.js, dc.js and data Visualization tools like Plotly, GGPlot
• Handling and using large databases and Datawarehouse technologies like MongoDB, MySQL, BigData, Snowflake, Redshift.
• Experience in building APIs, Multi-threading for tasks on Linux platform
• Exposure to finance and capital markets will be added advantage. 
• Strong understanding of software design principles, algorithms, data structures, design patterns, and multithreading concepts.
• Worked on building highly-available distributed systems on cloud infrastructure or have had exposure to architectural pattern of a large, high-scale web application.
• Strong understanding of software design principles, algorithms, data structures, design patterns, and multithreading concepts.
• Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3

Company Description:

Reval Analytical Services is a fully-owned subsidiary of Virtua Research Inc. US. It is a financial services technology company focused on consensus analytics, peer analytics and Web-enabled information delivery. The Company’s unique combination of investment research experience, modeling expertise, and software development capabilities enables it to provide industry-leading financial research tools and services for investors, analysts, and corporate management.

Website: http://www.virtuaresearch.com" target="_blank">www.virtuaresearch.com

Job Description

POSITION                         -                  Tally Developer

QUALIFICATION              -                  Graduate

WORK EXPERIENCE        -                  3 - 5+ years

LOCATION                        -                  Gurgaon

Job Description:

• Candidate with minimum 3 to 5 years of strong experience in Tally Customization Development
• ERP9 TDL program development & implementation
• ERP9 Technical support
• Manage Tally Customization & Tally Integration requirements

Required Skills:

• Tally Definition Language, Excel, XML and Tally
• Tally Integration with other systems / database
• Good knowledge of Finance and accounting with commerce background.
• Good communication skills and customer handling experience
• Experience with other development languages (Asp.Net, MVC, HTML, SQL) is added advantage.