We are seeking a highly capable and proactive Senior Technical Lead – Market Surveillance to drive the successful integration, onboarding, and ongoing operational support of our market surveillance platform. This role is essential in ensuring seamless collaboration with exchanges and trading venues, coordinating data integrations, and managing the performance and change lifecycle of the surveillance solution. You will be the technical focal point between internal teams, the platform vendor, and external counterparties to ensure the platform operates reliably and meets evolving business and regulatory needs. Key Responsibilities: Platform Integration & Exchange Onboarding: ● Lead technical efforts to integrate new exchanges, venues, and data sources into the surveillance platform, coordinating across vendor, internal infrastructure, and external exchange teams. ● Facilitate onboarding of new data feeds (e.g., order, trade, drop copy, market data) including format validation, protocol mapping (e.g., FIX), normalization, and certification. ● Manage and support testing cycles with exchanges and venues, including coordination of system integration testing (SIT), user acceptance testing (UAT), and issue triage. Vendor Coordination & Change Management: ● Act as the primary technical point of contact with the market surveillance provider, ensuring the vendor delivers against SLAs and functional requirements. ● Oversee release coordination, environment management (e.g., test, UAT, prod), and feature deployments in partnership with the vendor and internal teams. ● Drive change request processes, track enhancement requests, and validate rule and configuration changes prior to production deployment. ● Ensure the SaaS platform continues to meet operational, regulatory, and security expectations. Operational Oversight: ● Monitor platform availability, data completeness, and alert performance to ensure continuous surveillance coverage. ● Support incident triage and resolution in collaboration with the SaaS vendor, DevOps, and compliance stakeholders. ● Establish and maintain dashboards, operational runbooks, and incident response protocols. ● Drive regular vendor review sessions to review KPIs, issues, and platform roadmap alignment. Cross-Functional Leadership: ● Partner with Compliance, Surveillance Operations, Legal, and IT Security to ensure surveillance capabilities align with regulatory mandates and internal controls. ● Represent technical interests in vendor governance meetings, regulatory audits, and internal control assessments. ● Translate compliance requirements into actionable technical tasks and track their delivery with vendor and internal teams. Required Qualifications: ● Bachelor’s degree in computer science, Information Systems, Engineering, or related field. ● 8+ years of experience in financial services technology, including 3+ years in a technical leadership or systems integration role. ● Strong understanding of market structure, trade lifecycle, and regulatory surveillance needs across asset classes. ● Proven experience working with third-party SaaS or managed surveillance platforms and external data providers (e.g., exchanges, brokers). ● Familiarity with integration protocols such as FIX, SFTP, REST APIs, and data transformation/validation processes. ● Excellent organizational, communication, and stakeholder management skills. Preferred Skills: ● Exposure to major market surveillance platforms (e.g., Nasdaq SMARTS, Eventus Validus, Scila, ACA, etc.). ● Familiarity with regulatory frameworks such as CAT, MAR, MiFID II, and SEC Rule 15c3-5. ● Experience managing vendor relationships in a regulated environment. ● Working knowledge of monitoring and observability tools, and cloud/SaaS operations. ● Willing to travel to UAE Job Type: Full-time Pay: ₹300,000.00 - ₹350,000.00 per month Benefits: Flexible schedule Health insurance Paid time off Provident Fund Schedule: Day shift Monday to Friday Ability to commute/relocate: Hyderabad, Telangana: Reliably commute or willing to relocate with an employer-provided relocation package (Required) Work Location: In person

We are seeking a highly capable and proactive Senior Technical Lead – Market Surveillance to drive the successful integration, onboarding, and ongoing operational support of our market surveillance platform. This role is essential in ensuring seamless collaboration with exchanges and trading venues, coordinating data integrations, and managing the performance and change lifecycle of the surveillance solution. You will be the technical focal point between internal teams, the platform vendor, and external counterparties to ensure the platform operates reliably and meets evolving business and regulatory needs. Key Responsibilities: Platform Integration & Exchange Onboarding: ● Lead technical efforts to integrate new exchanges, venues, and data sources into the surveillance platform, coordinating across vendor, internal infrastructure, and external exchange teams. ● Facilitate onboarding of new data feeds (e.g., order, trade, drop copy, market data) including format validation, protocol mapping (e.g., FIX), normalization, and certification. ● Manage and support testing cycles with exchanges and venues, including coordination of system integration testing (SIT), user acceptance testing (UAT), and issue triage. Vendor Coordination & Change Management: ● Act as the primary technical point of contact with the market surveillance provider, ensuring the vendor delivers against SLAs and functional requirements. ● Oversee release coordination, environment management (e.g., test, UAT, prod), and feature deployments in partnership with the vendor and internal teams. ● Drive change request processes, track enhancement requests, and validate rule and configuration changes prior to production deployment. ● Ensure the SaaS platform continues to meet operational, regulatory, and security expectations. Operational Oversight: ● Monitor platform availability, data completeness, and alert performance to ensure continuous surveillance coverage. ● Support incident triage and resolution in collaboration with the SaaS vendor, DevOps, and compliance stakeholders. ● Establish and maintain dashboards, operational runbooks, and incident response protocols. ● Drive regular vendor review sessions to review KPIs, issues, and platform roadmap alignment. Cross-Functional Leadership: ● Partner with Compliance, Surveillance Operations, Legal, and IT Security to ensure surveillance capabilities align with regulatory mandates and internal controls. ● Represent technical interests in vendor governance meetings, regulatory audits, and internal control assessments. ● Translate compliance requirements into actionable technical tasks and track their delivery with vendor and internal teams. Required Qualifications: ● Bachelor’s degree in computer science, Information Systems, Engineering, or related field. ● 8+ years of experience in financial services technology, including 3+ years in a technical leadership or systems integration role. ● Strong understanding of market structure, trade lifecycle, and regulatory surveillance needs across asset classes. ● Proven experience working with third-party SaaS or managed surveillance platforms and external data providers (e.g., exchanges, brokers). ● Familiarity with integration protocols such as FIX, SFTP, REST APIs, and data transformation/validation processes. ● Excellent organizational, communication, and stakeholder management skills. Preferred Skills: ● Exposure to major market surveillance platforms (e.g., Nasdaq SMARTS, Eventus Validus, Scila, ACA, etc.). ● Familiarity with regulatory frameworks such as CAT, MAR, MiFID II, and SEC Rule 15c3-5. ● Experience managing vendor relationships in a regulated environment. ● Working knowledge of monitoring and observability tools, and cloud/SaaS operations. ● Willing to travel to UAE Job Type: Full-time Pay: ₹300,000.00 - ₹350,000.00 per month Benefits: Flexible schedule Health insurance Paid time off Provident Fund Schedule: Day shift Monday to Friday Ability to commute/relocate: Hyderabad, Telangana: Reliably commute or willing to relocate with an employer-provided relocation package (Required) Work Location: In person

AI Lead – Generative & Agentic AI Systems Experience: 7–10 Years Location: Hyderabad (Hybrid) Employment Type: Full-Time About the Role: We are seeking a visionary and hands-on AI Lead to architect, build, and scale next-generation Generative and Agentic AI systems. In this role, you will drive the end-to-end lifecycle—from research and prototyping to production deployment—guiding a team of AI engineers and collaborating cross-functionally to deliver secure, scalable, and impactful AI solutions across multimodal and LLM-based ecosystems. Key Responsibilities: Architect and oversee the development of GenAI and Agentic AI workflows, including multi-agent systems and LLM-based pipelines. Guide AI engineers in best practices for RAG (Retrieval-Augmented Generation), prompt engineering, and agent design. Evaluate and implement the right technology stack: open source (Hugging Face, LangChain, LlamaIndex) vs. closed source (OpenAI, Anthropic, Mistral). Lead fine-tuning and adapter-based training (e.g., LoRA, QLoRA, PEFT). Drive inference optimization using quantization, ONNX, TensorRT, and related tools. Build and refine RAG pipelines using embedding models, vector DBs (FAISS, Qdrant), chunking strategies, and hybrid knowledge graph systems. Manage LLMOps with tools like Weights & Biases, MLflow, and ClearML, ensuring experiment reproducibility and model versioning. Design and implement evaluation frameworks for truthfulness, helpfulness, toxicity, and hallucinations. Integrate guardrails, content filtering, and data privacy best practices into GenAI systems. Lead development of multi-modal AI systems (VLMs, CLIP, LLaVA, video-text fusion models). Oversee synthetic data generation for fine-tuning in low-resource domains. Design APIs and services for Model-as-a-Service (MaaS) and AI agent orchestration. Collaborate with product, cloud, and infrastructure teams to align on deployment, GPU scaling, and cost optimization. Translate cutting-edge AI research into usable product capabilities, from prototyping to production. Mentor and grow the AI team, establishing R&D best practices and benchmarks. Stay up-to-date with emerging trends (arXiv, Papers With Code) to keep the organization ahead of the curve. Required Skills & Expertise: AI & ML Foundations: Generative AI, LLMs, Diffusion Models, Agentic AI Systems, Multi-Agent Planning, Prompt Engineering, Feedback Loops, Task Decomposition Ecosystem & Frameworks: Hugging Face, LangChain, OpenAI, Anthropic, Mistral, LLaMA, GPT, Claude, Mixtral, Falcon, etc. Fine-tuning & Inference: LoRA, QLoRA, PEFT, ONNX, TensorRT, DeepSpeed, vLLM Data & Retrieval Systems: FAISS, Qdrant, Chroma, Pinecone, Hybrid RAG + Knowledge Graphs MLOps & Evaluation: Weights & Biases, ClearML, MLflow, Evaluation metrics (truthfulness, helpfulness, hallucination) Security & Governance: Content moderation, data privacy, model alignment, ethical constraints Deployment & Ops: Cloud (AWS, GCP, Azure) with GPU scaling, Serverless LLMs, API-based inference, Docker/Kubernetes Other: Multi-modal AI (images, video, audio), API Design (Swagger/OpenAPI), Research translation and POC delivery Preferred Qualifications: 7+ years in AI/ML roles, with at least 2–3 years in a technical leadership capacity Proven experience deploying LLM-powered systems at scale Experience working with cross-functional product and infrastructure teams Contributions to open-source AI projects or published research papers (a plus) Strong communication skills to articulate complex AI concepts to diverse stakeholders Why Join Us? Work at the forefront of AI innovation with opportunities to publish, build, and scale impactful systems Lead a passionate team of engineers and researchers Shape the future of ethical, explainable, and usable AI products Ready to shape the next wave of AI? Apply now and join us on this journey! Job Types: Full-time, Permanent Pay: ₹2,500,000.00 - ₹3,500,000.00 per year Benefits: Flexible schedule Health insurance Provident Fund Supplemental Pay: Joining bonus Work Location: In person

About the Role We are seeking a visionary and hands-on AI Lead to architect, build, and scale next-generation Generative and Agentic AI systems. In this role, you will drive the end-to-end lifecycle—from research and prototyping to production deployment—guiding a team of AI engineers and collaborating cross-functionally to deliver secure, scalable, and impactful AI solutions across multimodal and LLM-based ecosystems. Key Responsibilities Architect and oversee the development of GenAI and Agentic AI workflows, including multi-agent systems and LLM-based pipelines. Guide AI engineers in best practices for RAG (Retrieval-Augmented Generation), prompt engineering, and agent design. Evaluate and implement the right technology stack: open source (Hugging Face, LangChain, LlamaIndex) vs. closed source (OpenAI, Anthropic, Mistral). Lead fine-tuning and adapter-based training (e.g., LoRA, QLoRA, PEFT). Drive inference optimization using quantization, ONNX, TensorRT, and related tools. Build and refine RAG pipelines using embedding models, vector DBs (FAISS, Qdrant), chunking strategies, and hybrid knowledge graph systems. Manage LLMOps with tools like Weights & Biases, MLflow, and ClearML, ensuring experiment reproducibility and model versioning. Design and implement evaluation frameworks for truthfulness, helpfulness, toxicity, and hallucinations. Integrate guardrails, content filtering, and data privacy best practices into GenAI systems. Lead development of multi-modal AI systems (VLMs, CLIP, LLaVA, video-text fusion models). Oversee synthetic data generation for fine-tuning in low-resource domains. Design APIs and services for Model-as-a-Service (MaaS) and AI agent orchestration. Collaborate with product, cloud, and infrastructure teams to align on deployment, GPU scaling, and cost optimization. Translate cutting-edge AI research into usable product capabilities, from prototyping to production. Mentor and grow the AI team, establishing R&D best practices and benchmarks. Stay up-to-date with emerging trends (arXiv, Papers With Code) to keep the organization ahead of the curve. Required Skills & Expertise AI & ML Foundations: Generative AI, LLMs, Diffusion Models, Agentic AI Systems, Multi-Agent Planning, Prompt Engineering, Feedback Loops, Task Decomposition Ecosystem & Frameworks: Hugging Face, LangChain, OpenAI, Anthropic, Mistral, LLaMA, GPT, Claude, Mixtral, Falcon, etc. Fine-tuning & Inference: LoRA, QLoRA, PEFT, ONNX, TensorRT, DeepSpeed, vLLM Data & Retrieval Systems: FAISS, Qdrant, Chroma, Pinecone, Hybrid RAG + Knowledge Graphs MLOps & Evaluation: Weights & Biases, ClearML, MLflow, Evaluation metrics (truthfulness, helpfulness, hallucination) Security & Governance: Content moderation, data privacy, model alignment, ethical constraints Deployment & Ops: Cloud (AWS, GCP, Azure) with GPU scaling, Serverless LLMs, API-based inference, Docker/Kubernetes Other: Multi-modal AI (images, video, audio), API Design (Swagger/OpenAPI), Research translation and POC delivery Preferred Qualifications 7+ years in AI/ML roles, with at least 2–3 years in a technical leadership capacity Proven experience deploying LLM-powered systems at scale Experience working with cross-functional product and infrastructure teams Contributions to open-source AI projects or published research papers (a plus) Strong communication skills to articulate complex AI concepts to diverse stakeholders Why Join Us? Work at the forefront of AI innovation with opportunities to publish, build, and scale impactful systems Lead a passionate team of engineers and researchers Shape the future of ethical, explainable, and usable AI products Ready to shape the next wave of AI? Apply now and join us on this journey! Job Type: Full-time Pay: ₹2,000,000.01 - ₹3,002,234.14 per year Benefits: Flexible schedule Health insurance Paid time off Provident Fund Schedule: Day shift Monday to Friday Supplemental Pay: Yearly bonus Work Location: In person