TalentOne HR Consulting LLP

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.

Position Overview 

The AI Observability Engineer will be instrumental in implementation of scalable, cloud-native solutions to meet the growing needs of our Data & Development team. The successful candidate will demonstrate the ability to abstract complexity and create reusable, scalable patterns that accelerate development. The AI Observability Engineer will build and maintain a robust framework to ensure the reliability and maintainability of DPR Construction's complex AI systems. 

Responsibilities 

• Standardize observability practices across AI/ML and other development teams including logging, metrics, tracing, and model performance monitoring, ingesting data from multiple platforms 
• Lead hands-on implementation of automation-first DevOps and MLOps practices, enabling infrastructure-as-code and consistent, repeatable environment provisioning 
• Design and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly detection 
• Deploy, maintain and monitor containerized ML workloads 
• Extend existing CI/CD pipelines to support automated infrastructure changes and ML workflows 
• Implement AI-driven data validation, schema and concept drift detection and metadata management. 
• Establish governance frameworks for AI systems, including bias detection, explainability, and auditability 
• Extend existing Azure RBAC strategy by automating role and permission management to reduce manual intervention 
• Develop automated test suites for model performance, regression, edge cases and bias validation 
• Monitor model KPIs (accuracy, precision, recall, latency, calibration) 
• Ensure reproducability of experiments and production models 
• Act as a technical point of contact for DevOps and MLOps practices, developing reusable patterns, documentation, and proof-of-concepts to drive adoption 

Qualifications 

• Bachelor’s degree in computer science, Data Science, Information Systems, or a related field 
• 5+ years of experience in DevOps, MLOps, Data Engineering, Software Engineering or Site Reliability Engineering 
• Strong understanding of cloud infrastructure and experience working with at least one major cloud provider, preferably Azure 
• Proficiency in at least one objected-oriented programming language, preferably python with hands-on experience in ml frameworks like TensorFlow, PyTorch or Scikit-learn 

Salesforce Solution Architect

Experience: 8+ Years

Location:Mumbai Vile Parle

Employment Type: Full-time

Job Summary

We are looking for an experienced Salesforce Solution Architect to design and deliver scalable, secure, and high-performing Salesforce solutions. The candidate will work closely with business stakeholders and technical teams to translate business requirements into effective technical architecture.

Key Responsibilities

• Design end-to-end Salesforce solution and technical architecture.
• Translate business requirements into scalable Salesforce solutions.
• Define data, integration, and security architecture.
• Design integrations using REST/SOAP APIs, MuleSoft, Platform Events, or middleware.
• Ensure platform scalability, performance, and security.
• Guide Salesforce Developers and technical teams on architecture and best practices.

Mandatory Skills

• Salesforce Solution/Technical Architecture
• Solution Design
• Integration Architecture
• REST/SOAP APIs
• Salesforce Security
• Data Architecture & Data Modeling
• Scalability & Performance
• Apex and LWC understanding
• Strong stakeholder and technical leadership skills

Skills-

• Salesforce Development
• Apex
• Apex Triggers
• Apex Classes
• Lightning Web Components (LWC)
• SOQL / SOSL
• Salesforce Flows
• REST/SOAP APIs
• Salesforce Integration
• Data Loader
• Salesforce Security & Sharing

Mandatory Technical Skills

• Salesforce Development
• Apex
• Apex Triggers
• Apex Classes
• Lightning Web Components (LWC)
• SOQL / SOSL
• Salesforce Flows
• REST/SOAP APIs
• Salesforce Integration
• Data Loader
• Salesforce Security & Sharing

·      Unit Testing / Test Classes

Workday Certified will be preferred

Required Technical and Professional Expertise for Work Day – Finance consultant.

Must have acted as Lead on 2 or more Large Enterprise End to End Workday Financials Implementations, demonstrating hands-on design/solutioning, configuration and testing experience in as many of the following Spend (Financial , AP, AR and Integration with other Application) areas:

·        Supplier Accounts/Contracts, Procurement, Business Assets, Expenses and Inventory.

·        Experience of global / multi-country deployments with localisation requirements.

·        Be able to identify strategies, alternatives, approaches, risks, and mitigations to meet requirements, as well as assist in testing and resolving issues.

·        Experience of developing methodology and continuous improvements in delivery

·        Experience of assisting in pre-sales activities and ability to accurately estimate scope, effort and resources required to complete projects

Preferred Technical and Professional Experience

·        Experience in Financial accounting and procurement roles. Associated Professional accounting qualifications.

·        Experience in any other Workday Financials areas: FDM, Financial Accounting, Budgets, Reporting, Customer Accounts/Contracts, Projects/PSA, Banking, Taxes, Supplier Accounts/Contracts, Procurement, Business Assets, Expenses and Inventory.

·        2 or more Large Enterprise End to End experience in other ERP systems (SAP, Oracle, PeopleSoft etc)

·        Hands on Workday data conversion and/or report development experience.

Workday Finance - Functional

Workday Certified will be preferred

• Workday Financial Core, Financial Services Practical & Essentials or Workday P2P or Workday C2C
• Financial iload practical
• Record – Report Financial Reporting      
• Also, additional experience on Business Assets, Expenses
• Banking & Settlement, Financial Accounting
• AR, AP, General Ledger

Workday Finance – Expense Configuration

• Experience on Workday Finance and has worked with Expense Configuration/Expense Module

Primary Skillset: Workday Finance, P2P, R2R, C2C, Integration Module

Secondary Skillset: Financial Accounting, Budgets, Reporting, Customer Accounts/Contracts, Projects/PSA, Banking, Taxes, Supplier Accounts/Contracts, Procurement, Business Assets, Expenses and Inventory, Financial Core, Financial Services Practical & Essentials, Banking & Settlement, AR, AP, General Ledger, EIB, Core Connectors

• Experience of assisting in pre-sales activities and ability to accurately estimate scope, effort and resources required to complete projects
• Workday Financial Core, Financial Services Practical & Essentials or Workday P2P or Workday C2C
• Financial iload practical
• Record – Report Financial Reporting      
• Also, additional experience on Business Assets, Expenses
• Banking & Settlement, Financial Accounting
• AR, AP, General Ledger