Business Analyst

Role Overview 

As a Data Scientist, you will work with business stakeholders, AI engineers, and domain experts to transform data into actionable insights and intelligent solutions. You will develop machine learning models, perform statistical analysis, and contribute to AI-driven products that create measurable business impact. 

Key Responsibilities 

Data Science & Machine Learning 

• Analyze structured and unstructured data to identify patterns, trends, and business opportunities.  
• Perform exploratory data analysis (EDA), feature engineering, and data preparation.  
• Develop, evaluate, and optimize machine learning models for prediction, classification, clustering, and forecasting.  
• Apply statistical techniques to solve business problems and validate model performance.  
• Design and execute experiments to improve model accuracy and business outcomes.  

 AI Solution Development 

• Collaborate with AI Engineers, Data Engineers, and domain experts to build AI-powered solutions.  
• Translate business requirements into scalable data science approaches.  
• Contribute to Generative AI and advanced analytics initiatives where applicable.  
• Document methodologies, model performance, and key findings.  

 Required Technical Skills 

• Strong programming skills in Python and SQL for data analysis, feature engineering, and machine learning.  
• Strong understanding of Statistics, Probability, Linear Algebra, and Calculus as applied to machine learning and data science.  
• Experience with Exploratory Data Analysis (EDA), data preprocessing, feature engineering, feature selection, and handling missing or imbalanced data.  
• Good understanding of Supervised, Unsupervised, and Ensemble Machine Learning algorithms, including their assumptions, strengths, limitations, and appropriate use cases.  
• Strong knowledge of Regression, Classification, Clustering, Time Series Forecasting, Dimensionality Reduction, Recommendation Systems, and Anomaly Detection techniques.  
• Experience with Model Evaluation, Cross-Validation, Hyperparameter Optimization, Bias-Variance Trade-off, Feature Importance, Explainable AI (XAI), and Performance Metrics.  
• Understanding of Statistical Inference, Hypothesis Testing, Probability Distributions, Sampling Techniques, Confidence Intervals, and A/B Testing.  
• Experience translating business problems into analytical approaches and developing scalable, data-driven solutions.  
• Working knowledge of Generative AI, Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG) is preferred. 

Preferred Qualifications 

• Bachelor's or master's degree in computer science, Artificial Intelligence, Data Science, Statistics, Mathematics, Engineering, or a related field.  
• 2–4 years of experience developing machine learning or data science solutions.  
• Experience working on end-to-end data science projects in a business environment.  

 Nice to Have 

• Exposure to Generative AI, LLMs, RAG, or Agentic AI.  
• Experience with Computer Vision or Natural Language Processing (NLP).  
• Familiarity with cloud-based AI platforms.  
• Knowledge of construction, engineering, manufacturing, or industrial domains.  
• Participation in hackathons, research, Kaggle competitions, or open-source projects.  

 Soft Skills 

Strong analytical and problem-solving skills, effective communication and collaboration, ownership mindset, adaptability, continuous learning, and a passion for innovation.

Azure DevOps engineer should have a deep understanding of container principles and hands-on experience with Docker. 

They should also be able to set-up and manage clusters using Azure Kubernetes Service (AKS). Additionally, understanding of API management, Azure Key-Vaults, ACR, networking concepts like virtual networks, subnets, NSG, route tables. Awareness of any one of the software like Apigee, Kong, or APIM in Azure is a must. Strong experience with IaC technologies like Terraform, ARM/ Bicep Templates, GitHub Pipelines, Sonar etc.

• Designing DevOps strategies: Recommending strategies for migrating and consolidating DevOps tools, designing an Agile work management approach, and creating a secure development process
• Implementing DevOps development processes: Designing version control strategies, integrating source control, and managing build infrastructure
• Managing application configuration and secrets: Ensuring system and infrastructure availability, stability, scalability, and performance
• Automating processes: Overseeing code releases and deployments with an emphasis on continuous integration and delivery
• Collaborating with teams: Working with architect and developers to ensure smooth code integration and collaborating with development and operations teams to define pipelines.
• Documentation: Producing detailed Development Architecture design, setting up the DevOps tools and working together with the CI/CD specialist in integrating the automated CI and CD pipelines with those tools
• Ensuring security and compliance/DevSecOps: Managing code quality and security policies
• Troubleshooting issues: Investigating issues and responding to customer queries
• Core Skills: Azure DevOps engineer should have a deep understanding of container principles and hands-on experience with Docker. They should also be able to set-up and manage clusters using Azure Kubernetes Service (AKS). Additionally, understanding of API management, Azure Key-Vaults, ACR, networking concepts like virtual networks, subnets, NSG, route tables. Awareness of any one of the software like Apigee, Kong, or APIM in Azure is a must. Strong experience with IaC technologies like Terraform, ARM/ Bicep Templates, GitHub Pipelines, Sonar,
• Additional Skills: Self-starter and ability to execute tasks on time, Excellent communication skills, ability to come up with multiple solutions for problems, interact with client-side experts to resolve issues by providing correct pointers, excellent debugging skills, ability to breakdown tasks into smaller steps.

As a Inhouse lawyer, you will be legal representative of the company and will be providing legal advice and guidance on all kinds of legal matters

• Preparing legal agreements, contracts and any such legal documents
• Ensuring compliance of laws and regulations across all the operations in the organization
• Legally advise the management on all litigation matters and also will be managing litigation to achieve the best possible outcomes
• Handling and guiding the legal team
• Handling all the activities related to Contract Management which includes advising the management on all existing & New laws
• Providing necessary advice to various business teams regarding legal and safety laws
• Drafting and vetting of the terms and conditions as well as the agreements related to, but not limited to, the company’s website, advertising, promotional activities, technology service etc.
• Searching, tracking and sending notice to brands infringing the company’s trademark (Domestic and Overseas)

StartUp engaged in inventing and innovating Smart Energy Meters and related Technologies (OEM) requires Embedded Engineers. Following re-innovation principle and Technology First direction, we design Technologies to deliver our Vision of the highest Quality Products and Technologies. The candidate's responsibilities include IoT (COSEM/DLMS), technology integration. Required skills include Embedded C and C++ and knowledge of Electrical and Electronics.

We are looking for a passionate and driven individual for a two month contract job at Truebase in our growth team. Truebase is an AI-based B2B sales acceleration platform that enables revenue teams to prospect faster & connect smarter. We are building the future of sales prospecting and we need your help in scaling some of our go-to-market activities. Check out our website at http://truebase.io">truebase.io and https://www.linkedin.com/company/truebase/">LinkedIn profile. 

Whom will you work with? 

You will work closely with the growth team running campaigns across multiple channels to take the product to market. 

In this role you will: 

• Support our cold email outreach efforts by prospecting leads on Truebase. 
• Research personalization points for leads that you prospect. 
• Manage sales CRM/outreach/automation tools like Mixmax, Pipedrive, LinkedIn Salesnavigator, DuxSoup etc. 

You should apply if you have: 

• Excellent research skills. 
• Great interpersonal skills. 
• Knowledge of working with sales/marketing software like Mixmax, Pipedrive, etc. 
• Worked with Google sheets and Excel. 
• Basic knowledge of B2B sales. 

Even better if you have: 

• Writing skills
• Experience writing cold emails. 
• Experience working with remote teams. 

• 4+ years of extensive EXP in TIBCO SPOTFIRE Dashboard Development is MUST
• Design and create data visualizations in TIBCO Spotfire
• Proven EXP in delivering Spotfire solutions to advance business goals and needs.
• Detailed knowledge of TIBCO Spotfire - report developer configuration
• EXP on creating all charts that exist in Spotfire (scatter, line, bar, combo, pie, etc.) and how to manipulate every property associated with a visualization (trellis, color, shape, size, etc.)
• EXP in writing efficient SQL queries, views in relational databases such as Oracle, SQL Server, Postgres and BigQuery (Optional).
• Ability to incorporate multiple data sources into one Spotfire DXP and have that information linked via data table relations.
• EXP with Spotfire Administrative tasks, load balancing, installation/configuration of servers and clients, upgrades and patches would be a plus.
• Strong background in analytical visualizations and building executive dashboards.
• In-depth knowledge & understanding of BI and Datawarehouse concepts