The Network Security Engineer will manage and support Zscaler Internet Access (ZIA) and Zscaler Private Access (ZPA) environments, ensuring secure user access. Key responsibilities include designing and implementing Zscaler solutions, configuring security policies, and troubleshooting connectivity issues. Candidates should have over 7 years of experience in Network Security with expertise in Proxy, Firewall, and Secure Web Gateway technologies. The role is based in multiple locations in India and requires strong hands-on skills in Zscaler technologies.
Responsibilities
The Network Security Engineer will manage and support Zscaler Internet Access (ZIA) and Zscaler Private Access (ZPA) environments, ensuring secure user access. Key responsibilities include designing and implementing Zscaler solutions, configuring security policies, and troubleshooting connectivity issues. Candidates should have over 7 years of experience in Network Security with expertise in Proxy, Firewall, and Secure Web Gateway technologies. The role is based in multiple locations in India and requires strong hands-on skills in Zscaler technologies.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
The Documentum Developer role involves working with Documentum D2 and D2RP in the Health and Insurance domain. Candidates should have 3 to 4 years of relevant experience, with a total experience of 7 to 10 years preferred. Key responsibilities include developing and maintaining Documentum applications. Ideal candidates will also have experience with Sitecore as a desired skill.
Responsibilities
The Documentum Developer role involves working with Documentum D2 and D2RP in the Health and Insurance domain. Candidates should have 3 to 4 years of relevant experience, with a total experience of 7 to 10 years preferred. Key responsibilities include developing and maintaining Documentum applications. Ideal candidates will also have experience with Sitecore as a desired skill.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
The role involves model development and deployment, as well as REST API integration for machine learning models, with a focus on Agentic AI. Candidates should have experience in Python and related technologies, particularly in the finance domain. Key responsibilities include working with NLP, deep learning, and various database systems. Candidates with experience in cloud ML platforms and containerization will be preferred.
Responsibilities
The role involves model development and deployment, as well as REST API integration for machine learning models, with a focus on Agentic AI. Candidates should have experience in Python and related technologies, particularly in the finance domain. Key responsibilities include working with NLP, deep learning, and various database systems. Candidates with experience in cloud ML platforms and containerization will be preferred.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Category :Programming & Design
Role : 547386_Analytics_AI ML Engineer - Intermediate_India
The role involves administration of Windows Server (2012/2016/2019/2022) and management of Active Directory in a multi-domain, multi-forest environment. Key responsibilities include managing Domain Controllers, ADFS, SSO, DNS, and DHCP. Candidates should have 8-10 years of relevant experience in the Life Science domain, with a strong focus on Windows Server and Active Directory. Look for candidates with experience in build, patching, and monitoring of Domain Controllers.
Responsibilities
The role involves administration of Windows Server (2012/2016/2019/2022) and management of Active Directory in a multi-domain, multi-forest environment. Key responsibilities include managing Domain Controllers, ADFS, SSO, DNS, and DHCP. Candidates should have 8-10 years of relevant experience in the Life Science domain, with a strong focus on Windows Server and Active Directory. Look for candidates with experience in build, patching, and monitoring of Domain Controllers.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
The role requires expertise in SAP Basis (ECC / S/4HANA) and SAP HANA administration, with a preference for candidates who have exposure to SAP SolMan, SLT, and SuccessFactors. The position is based in Bangalore and Hyderabad, and candidates should have a total of 8 years of relevant experience. The work environment is hybrid, and candidates should be prepared for 24/7 shift timings.
Responsibilities
The role requires expertise in SAP Basis (ECC / S/4HANA) and SAP HANA administration, with a preference for candidates who have exposure to SAP SolMan, SLT, and SuccessFactors. The position is based in Bangalore and Hyderabad, and candidates should have a total of 8 years of relevant experience. The work environment is hybrid, and candidates should be prepared for 24/7 shift timings.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Tech Product lead with Data Science. Please find the JD below for your reference:
About the Role
JLL's Portfolio Services Technology function is building Navigator, a next-generation AI-powered platform that enables clients and JLL teams to model complex real estate portfolio scenarios, evaluate strategic options and make data-driven decisions at scale. Central to Navigator's intelligence layer is the ability to understand and reason about location — integrating geospatial data, demographic intelligence, labour market analytics and real estate market signals into the AI agents that power the platform.
We are looking for a Technical Product Lead — Data Scientist who combines deep data science capability with a product mindset and specialist expertise in location intelligence and geospatial AI. This is a hands-on senior role that sits at the intersection of data science, AI agent development and product strategy. You will build and own the models, pipelines and geospatial frameworks that underpin Navigator's analytical capabilities, while working directly with engineering, product and design teams to ensure those capabilities are embedded effectively into the platform.
This is not a pure research role. You will be responsible for production-grade outputs that directly inform client-facing AI recommendations — from site selection and labour force mapping to cost modelling and ESG scoring.
What You Will Do
Location Intelligence & Geospatial AI
• Design and build geospatial models that power Navigator's location scoring, market positioning and demographic analysis capabilities, integrating data from CoStar, labour market sources and third-party geospatial providers
• Develop location-based AI agent capabilities, including the Analytics Agent's real-time market intelligence layer, enabling the platform to surface relevant location insights for any given portfolio scenario
• Build and maintain geospatial data pipelines that ingest, transform and serve location data at the scale required for multi-portfolio analysis — including property-level data, demographic overlays, transport networks and ESG indicators
• Integrate map functionality into the Navigator platform, including synchronised list and map views, property clustering, search and filtering, and data overlays — working closely with engineering to ensure performance and usability
• Evaluate and onboard geospatial data sources, including CoStar and other third-party providers, assessing data quality, coverage and commercial terms for inclusion in the platform
AI Agent Development & Data Science
• Design, train and validate machine learning models that underpin Navigator's multi-criteria scoring framework — including Cost Optimisation, ESG/Sustainability, Talent Accessibility, Market Positioning and Risk Mitigation axes
• Own the data science architecture for the AI Scenario Agent, developing the model logic that generates and evaluates alternate portfolio strategies based on client-defined criteria and weighted priorities
• Build RAG pipelines and document intelligence capabilities that enable agents to reason over lease documents, market reports and financial data — directly relevant to the Lease Admin Agents programme
• Define evaluation frameworks and guardrails for AI output quality, including bias detection, accuracy validation and responsible AI compliance — ensuring model outputs are commercially credible and production-ready
• Monitor and optimise model performance in production, using NPS data from Pendo and user feedback from Optimal Workshop to identify where model outputs are falling short and iterating accordingly
Product Strategy & Stakeholder Collaboration
• Act as the data science product authority, translating business requirements from deep dive workshops and SME sessions into data science specifications that engineering teams can build against
• Own the analytical product roadmap, defining how location intelligence, geospatial AI and data science capabilities will evolve across Navigator's development phases — from current MVP through to future iterations
• Contribute to the AWS platform selection decision, specifically assessing the geospatial and ML infrastructure capabilities of AWS AgentCore and related services against Navigator's analytical requirements
• Participate in Critical Design Reviews (CDR), providing data science and geospatial expertise to ensure architectural decisions support the analytical capabilities the product requires
• Present model outputs, methodology and validation findings to senior stakeholders and client-facing audiences in clear, non-technical language
Governance & Standards
• Maintain documentation on model methodology, data sources, validation outcomes and geospatial data lineage in Confluence — supporting CDR compliance and responsible AI governance
• Ensure all geospatial and AI models comply with JLL's data governance policies, applicable data privacy regulations, and the AI Terms Addendum obligations under vendor contracts
• Support token cost management and optimisation across AI agent interactions, working with engineering to ensure the analytical layer operates efficiently at scale
What We Are Looking For
Essential
• 10+ years of hands-on data science experience, with at least 2 years working with geospatial data, location intelligence or spatial analytics in a product or platform environment
• Strong Python proficiency, including geospatial libraries such as GeoPandas, Shapely, Folium, PostGIS or equivalent
• Demonstrated experience building and deploying AI agents or LLM-based systems in production, including RAG design, agent orchestration and output evaluation
• Experience designing multi-criteria scoring and weighting frameworks for complex decision support applications
• Proficiency building and managing data pipelines on cloud infrastructure, ideally AWS or Azure
• Experience working with commercial real estate, demographic or labour market data sources — including CoStar, CBRE, or equivalent
• Strong product mindset — able to translate data science outputs into user-facing value and communicate model behaviour to non-technical stakeholders clearly
• Ability to operate across the full delivery cycle — from requirements and architecture through to production validation and iteration
Desirable
• Experience with AWS geospatial services, SageMaker or AWS AgentCore for production ML deployment
• Familiarity with ESG data frameworks, carbon emissions modelling or sustainability scoring methodologies
• Experience in real estate, financial services or enterprise SaaS environments
• Knowledge of vector databases, embeddings and semantic search for geospatial or document intelligence use cases
• Experience with Pendo, Optimal Workshop or equivalent product analytics and user research tools
• Familiarity with map rendering libraries and spatial visualisation tools for web applications
• Knowledge of responsible AI frameworks, bias evaluation and model governance for enterprise deployment
Key Technologies
Data Science
Geospatial
AI & Agents
Platform
Python · Pandas · NumPy · Scikit-learn · SQL (Postgres / SQLite)
GeoPandas · Shapely · PostGIS · Folium · CoStar API
LangChain / LlamaIndex · RAG · Vector DBs · AWS AgentCore · Claude / OpenAI
AWS / Azure · Confluence · Jira · Pendo · Optimal Workshop
Why This Role
Location intelligence is the foundation of every meaningful portfolio decision — and no one in the real estate industry is yet using it at the level Navigator is designed to operate. This role places you at the leading edge of how geospatial AI, location data and multi-agent systems come together in a production platform used by JLL's largest clients. You will not be running experiments — you will be building the analytical engine that powers decisions worth billions in real estate value. If you have the technical depth, the product instinct and the geospatial expertise, this is the role that lets you put all three to work.
About JLL
Jones Lang LaSalle (JLL) is a leading professional services firm specializing in real estate and investment management. Operating across more than 80 countries, JLL is committed to delivering technology-led solutions that create long-term value for clients, employees and communities.
Responsibilities
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
The JIRA Admin role involves hands-on administration of Jira and Confluence, focusing on user management, workflow customization, and plugin management. Key responsibilities include migrating Jira and Confluence from Data Center to Cloud, utilizing Atlassian migration tools, and performing app/plugin assessments. Candidates should have strong experience in migration strategies and familiarity with GitHub Actions, Bash, and Groovy scripting. Optional skills include basic knowledge of Kubernetes and cloud platforms.
Responsibilities
The JIRA Admin role involves hands-on administration of Jira and Confluence, focusing on user management, workflow customization, and plugin management. Key responsibilities include migrating Jira and Confluence from Data Center to Cloud, utilizing Atlassian migration tools, and performing app/plugin assessments. Candidates should have strong experience in migration strategies and familiarity with GitHub Actions, Bash, and Groovy scripting. Optional skills include basic knowledge of Kubernetes and cloud platforms.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
