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
FIND ON MAP