Datatobiz

Role & responsibilities 1.Data Pipeline and Model Development 2. ML/AI Project Implementation 3. LLM Development and Implementation 4. Quality Assurance and Testing 5. Research and Development 6. Collaboration and Communication Preferred candidate profile Machine Learning Algorithms 2. Deep Learning Architectures 3. Mathematics & Statistics 4. Data Structures & Algorithms 5. MLOps Tools and Practices 6. Big Data Technologies 7. Cloud Computing Platforms 8. Model Optimization Techniques 9. Data Privacy & Security 10. Software Development Life Cycle 11. Transformer Architecture 12. LLM Frameworks and Tools 13. Token-based Processing 14. Context Window Management

Role & responsibilities 1. Client Requirement Fulfillment 2 . Vendor management 3 . Data analytics and Reporting 4 . Talent Pool and database management 5 . Communication

Role & responsibilities 1. User Experience & Interface Design Design wireframes, prototypes, and high-fidelity UI designs aligned with business goals. Conduct A/B testing and analyze user feedback to improve usability and optimize conversions. Maintain cohesive design systems across platforms, ensuring a seamless user journey. 2. Motion Graphics, 3D Animation & Video Content Develop micro-interactions, UI animations, and motion graphics that increase engagement. Create 3D animations for product demos, promotions, and branding assets. Edit high-quality explainer and marketing videos that communicate brand value. 3. Social Media & Content Design Design engaging social media creatives (static, motion, GIFs, carousels). Create visual assets for blogs, newsletters, and campaigns to boost engagement. Collaborate with marketing to produce storytelling visuals that align with lead-generation strategies. 4. Brand Identity & Visual Design Define and maintain brand guidelines, typography, and color schemes. Design logos, icons, and branding elements for consistent identity. Ensure brand cohesion across digital and print platforms. 5. Collaboration & Implementation Partner with developers to translate designs into functional, high-performing digital products. Work with cross-functional teams (marketing, content, product) to align designs with objectives. Continuously refine designs based on testing, critiques, and best practices.

Role & responsibilities Client Discovery & Solution Fitment (15%) Conduct discovery sessions/workshops with clients Prepare BRD/FSD based on business goals and technical inputs Collaborate with solution architects to ensure feasibility and scalability Identify integration opportunities and process transformation areas 2. Proposal, RFP/RFI, SoW & ROI Documents (15%) Craft customized proposals with clear scope, commercials, and delivery plans Respond to RFPs/RFIs in collaboration with technical and delivery teams Build SoWs and ROI/value realization models Maintain reusable templates and pricing libraries 3. Sales & Marketing Collateral Creation (10%) Develop pitch decks, brochures, and industry-specific case studies Create client-facing demos and walkthroughs Maintain a central repository of updated assets 4. Pipeline & Opportunity Management (10%) Keep CRM/pipeline updated with opportunity stages and notes Conduct win/loss analysis and document learnings Share regular updates and dashboards with leadership 5. Cross-Team Coordination & Sales Enablement (10%) Act as a liaison between sales, delivery, and tech teams Deliver enablement sessions to support solution positioning Provide handover packs and maintain stakeholder alignment 6. Team Leadership & Process Improvement (10%) Mentor junior analysts or interns Improve templates, workflows, and adopt automation tools Drive retrospectives and knowledge-sharing sessions 7. Account Mining & Upsell Opportunity Identification (10%) Identify cross-sell and upsell opportunities during discovery Work with account managers to nurture new opportunities Track dormant accounts for potential reactivation 8. Business Responsiveness & Prioritization (10%) Act promptly on high-priority business needs and deadlines Balance short-term RFPs with long-term enablement efforts Align efforts with sales strategy and leadership directives 9. Industry, Market & Competitor Intelligence (5%) Track market trends, competitor offerings, and buyer behavior Share insights and incorporate them into proposals and positioning 10. Early Risk Identification & Mitigation (5%) Identify and document presales risks early in the cycle Create mitigation strategies and raise alerts to leadership Maintain a risk register and drive lessons learned Preferred candidate profile - Skills (Trainable): Proposal writing & SoW drafting BRD/FSD preparation ROI modeling & storytelling Pipeline tracking (CRM) Canva/design tools for collateral Efficient use of LLMs / ChatGPT for drafting & research Risk documentation & communication Strong presentation & research abilities Knowledge (Deep Understanding): Data Engineering, BI, and AI/ML fundamentals Industry use cases in Retail, Real Estate, Manufacturing Presales lifecycle, solutioning frameworks, and estimation techniques Client decision-making patterns Delivery team capabilities and constraints Traits (Natural Behaviors): Proactive, ownership-driven mindset Strategic yet detail-oriented Adaptive and collaborative under pressure Empathetic communicator Passionate about learning and solving business challenges

Machine learning Engineer (Contract) Location: Remote Contract Duration: 6 months extendable Interview Rounds: 2 Experience: 5+ yrs Relevant Experience: 5+ yrs IST work timings 10AM - 7PM Immediate joiners Key Responsibilities: Identify and define machine learning use cases across business domains (e.g., prediction, classification, recommendation, NLP, computer vision). Design and implement end-to-end ML workflows, from data ingestion and feature engineering to model training, evaluation, and deployment. Develop reusable and scalable ML pipelines using tools such as MLflow, Airflow, Kubeflow, or Vertex AI. Write efficient and maintainable Python code leveraging frameworks such as TensorFlow, PyTorch, Scikit-learn, and FastAPI. Perform data analysis, preprocessing, and feature extraction using Pandas, NumPy, and SQL. Implement model monitoring, versioning, and retraining workflows to ensure continuous model improvement. Collaborate with data engineers, product managers, and software developers to integrate ML solutions into production systems. Document experiments, code, and workflows to ensure reproducibility and scalability. Technical Skills Required: Programming: Python (mandatory), familiarity with Java or R is a plus. Machine Learning: Regression, Classification, Clustering, NLP, Deep Learning, LLM fine-tuning. Frameworks & Libraries: TensorFlow, PyTorch, Scikit-learn, Hugging Face Transformers. Data Tools: Pandas, NumPy, SQL, Spark (optional). MLOps Tools: MLflow, Airflow, Docker, Kubernetes, Git, CI/CD pipelines. Cloud Platforms: AWS Sagemaker, GCP Vertex AI, or Azure ML. Version Control: GitHub/GitLab. Workflow & Project Experience: Built and deployed end-to-end ML pipelines for predictive analytics, recommendation engines, and NLP applications. Experience in model lifecycle management experimentation, validation, deployment, and monitoring. Exposure to data versioning, model drift detection, and continuous improvement processes. Strong understanding of workflow automation using Airflow/Kubeflow pipelines. Hands-on experience integrating ML models with APIs using FastAPI/Flask for real-time inference. Soft Skills: Strong analytical thinking and problem-solving ability. Excellent communication and documentation skills.

Position 1: Data Engineer (Contract) Experience: 5+ yrs Relevant Experience: 4+ yrs Location: Remote Duration: 1 month extendable Skills: SQL, Python, Snowflake, DBT and Data Modelling Interview rounds: 2 rounds IST work timings 10AM - 7PM Immediate joiners Position 2: Data Engineer (Contract) Experience: 5+ yrs Relevant Experience: 4+ yrs Location: Remote Duration: 6 months extendable Interview rounds: 2 rounds IST work timings 10AM - 7PM Immediate joiners Tasks and deliverables the consultant is required to work on and produce: 1. Python Programming 2. Unit Testing 3. Deployment in Dev, UAT and Production 4. Support System integration 5. Data Extracts based on SQL Queries Mandatory skills: 1. Python Programming 2. SQL 3. Exposure to Azure Ecosystem 4. Writing Azure Function App 5. Azure Logic Apps 6. Strong Communication and Presentation skills Good to have skills: Awareness of Google Cloud Platform

Position: Sr. Power BI Developer (contract) Experience: 7+ years Location: Remote Duration: 36 Months contract (extendable) Work Timings: 11 AM - 8 PM or 12 PM - 9 PM (it will be couple of hours overlap in the US time zone, rest Indian time zone) Interview Process: 2 Rounds of interview Key Skills Required: Strong expertise in Power BI development and data visualization Hands-on experience with Semantic Modeling at the architectural level Familiarity with Co-Pilot enablement will be an added advantage We are looking for immediate joiners for this role. If this opportunity interests you, please reply with your updated resume, current CTC, expected CTC, and notice period.

Position 1: Sr. Tableau Developer (Contract) Experience: 8+ years Location: Remote Duration: 3-6 months extendable Work Timings: 10am to 7pm Interview: 2 rounds Immediate joiners required We are seeking an experienced Senior Tableau Developer with strong expertise in Power BI to design, develop, and deliver advanced business intelligence solutions. The ideal candidate will have hands-on experience in data visualization, dashboard optimization, data modeling, and performance tuning across multiple BI platforms. Key Responsibilities: Design, develop, and deploy interactive dashboards and reports in Tableau and Power BI. Collaborate with business stakeholders to understand data and reporting needs. Optimize BI solutions for performance, scalability, and usability. Build and maintain data models, calculations, and visualizations that provide actionable insights. Integrate BI tools with data sources like Snowflake, Databricks, SQL Server, GCP, AWS, or Azure. Ensure data accuracy, governance, and security in reporting environments. Support migration, enhancement, or modernization of existing BI platforms. Mentor junior developers and contribute to best practices and BI governance frameworks. Required Skills & Experience: 8+ years of total experience in Business Intelligence and Data Visualization. Strong hands-on experience with Tableau Desktop, Tableau Server, and Power BI. Expertise in SQL and strong understanding of data modeling, ETL concepts, and data warehouse design. Experience with cloud data platforms (Snowflake, Databricks, GCP BigQuery, AWS Redshift, or Azure Synapse). Proven ability to analyze complex data and present insights in a clear, visual manner. Knowledge of performance tuning, parameters, calculations, and LOD expressions in Tableau. Experience in Power BI DAX, Power Query, and workspace management. Excellent communication and stakeholder management skills.

Position 1: Sr. PowerBI Developer (Cognos) Experience: 3-5 years Location: Remote Contract Duration: 6-12 Months IST work timings: 12PM-9PM IST Interview rounds: 2 client rounds Immediate joiners required Position 2: Sr. PowerBI Developer (Cognos) Experience: 5-8 years Location: Remote Contract Duration: 6-12 Months IST work timings: 12PM-9PM IST Interview rounds: 2 client rounds Immediate joiners required Overview: Senior Power BI (Cognos Power BI Migration | Snowflake) Were hiring a Senior Power BI Lead to spearhead our enterprise Cognos-to Power BI migration on a modern Snowflake data platform. You'll shape our semantic modeling strategy, lead a small BI development team, and deliver high-impact dashboards used across the organization. What You'll Do Lead the full Cognos Power BI migration (requirements, modeling, development, validation). Build high-performance semantic models (star schema, surrogate/date keys, aggregations). Translate Cognos FM/MDX logic into Power BI models and DAX. Drive performance optimization (incremental refresh, aggregations, large models). Establish and enforce Power BI standards, governance, and documentation. Mentor junior BI developers and review deliverables. Maintain a technical decision log and ensure stakeholder alignment. What You Bring Expert Power BI: data modeling, DAX, Power Query, performance tuning. Strong experience interpreting Cognos models/reports for migration. Advanced SQL and hands-on work with Snowflake. Strong grounding in star schema design and BI modeling best practices. Experience with governance (RLS, documentation, deployment pipelines). Proven leadership and clear communication with technical + business teams. Nice to Have Experience with Azure Data Factory, Fabric, or similar ETL tools. Certifications: PL-300, PL-400, SnowPro. Scripting/automation experience (Python, PowerShell, etc.). Prior experience leading Power BI migration programs. Education & Experience Bachelors/Masters in Computer Science, Data, or related field. 7+ years in BI/Analytics, including 3+ years focused on Power BI. Experience with Cognos migrations + Snowflake strongly preferred. Success Looks Like (First 6 Months) Deliver a validated Cognos Power BI migration for a key report set. Establish a reusable semantic modeling framework. Implement review + documentation processes. Level up junior BI developers and improve delivery efficiency.

Position 1: Consultant, SAP SF Data Migration Specialist Experience: 5+ years Location: Remote Contract Duration: 3-6 Months Budget: 1.3 LPM IST work timings: 9 AM to 6 PM or 10 AM to 7 PM IST Interview rounds: 2 client rounds, immediate onboarding About Us: We are a leading IT services company dedicated to delivering innovative technology solutions to clients across various industries. As part of our commitment to excellence, we are looking for an experienced Senior Manager to lead the implementation of business intelligence tools, including Power BI, dashboards, and SAP SuccessFactors, to help our clients and internal teams make data-driven decisions. Position Overview: The consultant will be responsible for overseeing the migration of data from legacy applications to cloud based SAP SuccessFactors and ensuring that the data flows into multiple downstream/ upstream systems both internal & external. This role requires a strong HCM technical background, excellent data management skills, and the ability to collaborate with cross- functional teams. Key Responsibilities: Lead the migration strategy, planning, scoping, and execution for SAP SuccessFactors deployment. Analyze, map, cleanse, and validate data from legacy HR and related systems to SAP SF data structures. Design, test, and implement data extraction, transformation, and loading (ETL) processes. Ensure smooth data flow and integration with multiple downstream/upstream systems (e.g., payroll, time, recruiting, reporting systems). Collaborate with functional and technical teams to address data dependencies and configuration impacts. Develop migration templates, documentation, audit reports, and reconciliation tools. Establish quality assurance checkpoints to validate data completeness and accuracy. Support go-live data cutover, migration rehearsals, and post-go-live data stabilization activities. Work closely with business stakeholders to define data governance, retention, and security standards. Troubleshoot and resolve data-related issues during and after migration cycles. Qualifications: Bachelors degree in Computer Science, Information Technology, Business Analytics, HRIS, or a related field. Certifications (e.g., Microsoft Certified: Data Analyst Associate, SAP Certified Application Associate) are a plus. 2+ years of experience in data migration, tool implementation, business intelligence, or HR systems, with at least 2-3 projects related to Power BI and SAP SuccessFactors. Strong understanding of data modeling, data integration, and SQL. Excellent communication, problem-solving, and stakeholder management skills. Experience in data governance and security best practices. Preferred Skills: Experience managing Power BI, dashboard dataflow, and linking BI tools with enterprise systems like SAP SF. Hands-on experience with SAP SuccessFactors, including Employee Central, Performance & Goals, Recruiting, and Learning Management modules