Data Scientist

Ideal Candidate

Mandatory Skills:

• 3–7 years of experience as PMO, Business Analyst, Functional Consultant, or Project Coordinator.

• Experience working on DMS (Dealer Management System / Document Management System) applications.

• Strong expertise in preparing BRD, SRS, FRD, Use Case Documents, and User Documentation.

• Hands-on experience creating process flow diagrams, workflow documentation, and business process mapping.

• Working knowledge of Figma for wireframing and requirement visualization.

• Strong stakeholder and partner management experience.

• Good understanding of SDLC and Agile project methodologies.

• Experience in requirement gathering, gap analysis, and functional specification creation.

• Excellent communication, presentation, and documentation skills.

Job Summary:

We are looking for experienced SAP BW Consultants with a minimum of 5 years of relevant experience to support BW landscape analysis, dependency mapping, complexity assessment, and effort estimation activities. The ideal candidate should possess strong expertise in SAP BW architecture, data modeling, reporting structures, and end-to-end data flow analysis.

Key Responsibilities:

• Analyze and review SAP BW objects including DSOs, Advanced DSOs, InfoCubes, InfoObjects, PSA, Transformations, Data Transfer Processes (DTPs), InfoSets, CompositeProviders, MultiProviders, Views, BEx Queries, and Process Chains.

• Validate scope inventory and assess the completeness and accuracy of BW components.

• Map high-level Source → BW → Reporting data flows and document dependencies.

• Identify technical gaps, inconsistencies, and optimization opportunities within the BW environment.

• Perform dataset dependency analysis and support impact assessment activities.

• Contribute to complexity scoring and provide inputs for effort estimation.

• Collaborate with business stakeholders, functional teams, and technical teams to gather and validate requirements.

• Prepare technical documentation, assessment reports, and findings.

Required Skills:

• Minimum 5 years of hands-on experience in SAP BW/BI.

• Strong knowledge of SAP BW architecture, data modeling, and reporting frameworks.

• Experience working with InfoProviders, Transformations, DTPs, Process Chains, and BEx reporting.

• Ability to analyze end-to-end data flows and dependencies.

• Strong analytical, troubleshooting, and documentation skills.

• Experience in system assessment, migration, upgrade, or transformation projects will be an added advantage.

• Excellent communication and stakeholder management skills.

Preferred:

• Experience with SAP BW on HANA.

• Exposure to SAP Analytics, reporting tools, or data migration projects.

• Ability to work independently in a fast-paced environment.

About Logikality

Logikality is building an AI-native mortgage intelligence platform for the U.S. mortgage industry. We are reimagining how mortgage operations are executed by combining AI, workflow automation, and domain expertise to solve one of the most document-intensive and decision-heavy industries in the world.

Our platform goes beyond document extraction. We are building AI systems that understand mortgage files, reason across multiple sources of information, identify risks and exceptions, support underwriting and quality control decisions, and continuously improve through expert feedback and rigorous evaluation.

Job Description

We are looking for a Generative AI Engineer to build and scale Logikality's AI-native mortgage platform.

The role requires strong hands-on engineering expertise in designing, building, and deploying production-grade Generative AI systems that power intelligent mortgage operations. You will work across LLM applications, AI agents, retrieval systems, reasoning workflows, backend services, APIs, and cloud infrastructure to transform complex mortgage workflows into reliable AI products.

This is a high-ownership role for someone who can rapidly convert business problems into scalable AI solutions with minimal supervision.

Key Requirements

• 3 to 8 years of experience in software engineering, AI engineering, or Generative AI development, preferably in startup environments. 
• B.E./B.Tech. in Computer Science or a related engineering discipline a premier engineering institution (e.g., IITs, IISc, NITs, BITS Pilani, or top-tier global universities).
• Proven experience independently owning projects end-to-end from solution design and model integration to production deployment, monitoring, and maintenance. 
• Strong proficiency in Python and modern backend development. 
• Hands-on experience building production-grade applications using Large Language Models (LLMs). 
• Experience with agentic AI frameworks, multi-agent workflows, function/tool calling, structured outputs, and prompt engineering. 
• Strong understanding of Retrieval-Augmented Generation (RAG), embeddings, vector databases, semantic search, and knowledge retrieval systems. 
• Experience integrating commercial and open-source foundation models (OpenAI, Anthropic, Gemini, Llama, Mistral, or similar). 
• Experience building AI pipelines using frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or equivalent orchestration frameworks. 
• Strong understanding of model evaluation, hallucination mitigation, guardrails, prompt optimisation, and LLM observability. 
• Experience with OCR, document intelligence, structured information extraction, or multimodal AI systems is preferred. 
• Strong knowledge of APIs, databases, cloud infrastructure, Docker, Kubernetes, and CI/CD pipelines. 
• Ability to design scalable, secure, and production-ready AI architectures. 
• Strong debugging skills, systems thinking, and an ownership mindset with the ability to move quickly in an early-stage startup. 

Preferred Experience

• Experience building AI copilots, autonomous agents, or enterprise AI assistants. 
• Familiarity with MCP, AI tool integration, and agent orchestration. 
• Experience fine-tuning, distillation, or evaluation of open-source LLMs. 
• Knowledge of AI safety, governance, and responsible AI practices. 
• Experience working with document-heavy enterprise domains such as financial services, banking, insurance, healthcare, legal, or mortgage technology. 
• Experience deploying AI applications on AWS, Azure, or GCP. 

What You'll Build

• AI agents that automate mortgage underwriting, quality control, compliance, and document review. 
• RAG-based knowledge systems that reason across large collections of mortgage documents. 
• Intelligent workflows combining LLM reasoning with deterministic business rules. 
• Production-grade AI APIs and backend services powering Logikality's platform. 
• Evaluation pipelines to continuously improve AI quality, accuracy, latency, and cost. 

Why Join Logikality?

At Logikality, you'll work on problems that require genuine reasoning, not just text generation. You'll help build AI systems that understand complex documents, synthesise information across workflows, explain decisions, identify exceptions, and improve through continuous learning and expert feedback.

This will be a full-time in-office role based in Bangalore. Immediate joiners are preferred.

About MoveInSync:

MoveInSync is the global leader in the employee commute space. Started in 2009 with Google as its first customer, MoveInSync now provides commute solutions to 250+ customers, including 50+ Fortune 500 companies across the world. MoveInSync has two offerings: ION and ONE. ION is the SaaS offering for companies to run their employee transport operations efficiently and seamlessly. ONE is a full-stack managed transport solution where we provide fleet management and operational capabilities on top of the SaaS layer. 

MoveInSync is one of the few fast-growing companies with a healthy EBITDA. Our next collective goal is to make the company IPO-ready over the coming years. 

Roles & Responsibilities: 

1. Stakeholder Coordination: Collaborate closely with employees, SPOCs, peers, and vendors to maintain effective, win-win relationships.
2. Vendor Management: Ensure consistent, high-quality service delivery by transport vendors through structured vendor management, including regular performance reviews and service level reporting.
3. Fleet Quality Assurance: Oversee that all vehicles meet required standards for maintenance, cleanliness, licensing, safety, and driver etiquette. Ensure drivers are properly licensed, well-groomed, and in appropriate uniform. Drive improvement initiatives with fleet partners.
4. EHS & Emergency Handling: Ensure compliance with Environmental Health and Safety (EHS) protocols, especially concerning female employee safety. Implement procedures for emergency response, including handling vehicle incidents.
5. Cab/Vendor Allocation & Routing: Utilize the MoveInSync tool to plan routes based on shift rosters, aiming to optimize cost and meet defined service levels.
6. Communication Management: Maintain clear two-way communication to avoid missed pickups and service gaps.
7. Escalation Handling: Manage real-time escalations, service disruptions, and failed pickups promptly and effectively.
8. Transport Cost Efficiency: Monitor and manage operational transport costs, aiming for continuous cost optimization while maintaining service quality.
9. Reporting: Generate and share reports including OTA/OTD, No-Show summaries, and any other client-required documentation.
10. Central Coordination: Liaise effectively with the centralized THD and tracking teams to ensure smooth operational flow.

Key Skills Required:  

• Graduate with 2 to 4 years of experience in managing employee transport for 400–500 staff in a corporate, transport Industry, or similar environment.
• Proficient in Excel with strong communication skills—both written and verbal—in English and the local language.
• Prior experience with MoveInSync or similar transport automation tools is preferred.
• Willing to work in shifts; must be hardworking, proactive, and enthusiastic.

We are seeking a seasoned Engineering, Senior Manager (M3 Level) to join our dynamic team. As a first-line manager, you will lead a team of talented engineers, driving technical excellence, fostering a culture of ownership, and ensuring the successful delivery of high-impact projects. You will be responsible for guiding technical decisions, managing team performance, and aligning engineering efforts with business goals.

Responsibilities:

Technical Leadership:

• Provide technical leadership and direction for major projects, ensuring alignment with business goals and industry best practices.

• Be hands-on with code, maintaining high technical standards and actively participating in design and architecture decisions, code reviews, and helping engineers optimize their code.

• Ensure that high standards of performance, scalability, and reliability are maintained when architecting, designing, and developing complex software systems and applications.

• Ensure accountability for the team’s technical decisions and enforce engineering best practices (e.g., documentation, automation, code management, security principles, leverage CoPilot).

• Ensure the health and quality of services and incidents, proactively identifying and addressing issues. Utilize service health indicators and telemetry for action. Implement best practices for operational excellence.

• Play a pivotal role in the R.I.D.E. (Review, Inspect, Decide, Execute) framework. • Understand CI/CD pipelines from build, test, to deploy phases.

Team Management:

• Lead and manage a team of software engineers, fostering a collaborative and highperformance environment. Conduct regular performance reviews, provide feedback, and support professional development.

• Foster a culture of service ownership and enhance team engagement.

• Drive succession planning and engineering efficiency, focusing on quality and developer experience through data-driven approaches.

• Promote a growth mindset, understanding and driving organizational change.

• Actively seek opportunities for team growth and cross-functional collaboration.

• Works and guides the team on how to operate in a DevOps Model. Taking ownership from working with product management on requirements to design, develop, test, deploy and maintain the software in production.

Minimum Qualifications: • Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. • 11+ years of experience in software development, with 3+ years in a technical leadership role and 2+ years in a people management role. • Proven track record of leading and delivering large-scale, complex software projects. • Deep expertise in one or more programming languages such as Python, Java, JavaScript. • Extensive experience with software architecture and design patterns. • Strong understanding of cloud technologies and DevOps principles. • Excellent problem-solving skills and attention to detail. • Excellent communication and leadership skills, with a demonstrated ability to influence and drive chang

Here are the main tasks that a digital marketing EXECUTIVE can undertake:

• Community management: designing social media campaign, creating social media contents, answering to customer’s comments or questions (Facebook, Twitter, LinkedIn, Instagram, TikTok…).
• Managing the company’s official website.
• Writing contents for the company’s blog or website.
• Creating contents for mail diffusion (newsletter…) or online diffusion.
• Follow-up and improvement of SEO.
• Helping the marketing team to follow-up and improve the digital marketing strategy

Requirements:

• Expert in Python, with good knowledge in Django technology.
• Able to integrate multiple data sources and databases into one system.
• Understanding of the threading limitations of Python, and multi-process architecture.
• Knowledge of user authentication and authorization between multiple systems, servers, and environments.
• Experience in Flask will be an add-on
• Understanding of fundamental design principles behind a scalable application.
• Familiarity with event-driven programming in Python.
• Able to create database schemas that represent and support business processes.
• Proficient understanding of code versioning tools.
• Good communication skills.

• Bachelor’s or Master’s degree in Computer Science or Engineering, 
• 3-5 years of exp in building web applications using PHP (Laravel framework)
• Very good in build rich UI using HTML/CSS and Jquery
• Good understanding of databases like MySQL, PostgreSQL, etc
• Good Communication

Responsibilities

• Compensation Industry leading compensation
• Write clean and well-designed codes
• Produce detailed specifications Troubleshoot, test, and maintain the core product software and databases
• To ensure strong optimization and functionality.
• Contribute to all phases of the development lifecycle Follow industry best practices
• Develop and deploy new features to facilitate related procedures and tools if necessary