Top Remote Jobs in Kolkata

The role involves researching and developing large language models (LLMs) with a focus on transformer architecture, data curation, distributed training, and optimization. Responsibilities include conducting experiments, collaborating with teams, and staying updated on deep learning advancements.

Drive strategic enterprise sales into named accounts across India (Bengaluru/Delhi). Proactively hunt, plan accounts, build senior relationships, manage complex sales cycles and contract negotiations, maintain pipeline, and close deals for Cloudflare network security, CDN, and internet solutions. Up to 50% travel.

The Country Director will lead Coinbase's business in India, defining strategies for growth, overseeing product launches, and engaging with regulators while building a high-performing team.

Own month-end and quarter-end close for Coinbase's India exchange, maintain parallel Ind AS and US GAAP books, prepare reconciliations and financial statements, ensure compliance with Indian regulatory filings, coordinate with FP&A/Tax/Treasury teams, support liquidity and customer funds safeguards, improve accounting systems and controls, and review and mentor junior team members.

Lead the development of AI-powered customer support solutions, guiding a team to build scalable, reliable, and secure systems using LLMs and third-party integrations.

Responsible for regulatory submissions, variance analysis, applying regulatory rules, and documenting business requirements while ensuring audit readiness.

Lead end-to-end delivery of contact center automation and digital transformation programs for banking clients. Manage project financials, RAIDs, escalations, stakeholder relationships, and delivery teams to ensure on-time, on-budget outcomes.

Support regulatory liquidity and treasury reporting by applying predefined rules and mappings, performing variance analysis and reconciliations, documenting business/functional requirements, coordinating BA/IT/testing workstreams, supporting project governance, and ensuring controls, audit readiness and remediation within regulatory change programmes.

Lead and manage a regional Builder Relations team in APAC, driving developer and customer engagement through schema design reviews, live enablement sessions, content creation, and collaboration with Sales and Marketing. Mentor team members, measure business impact, and scale developer enablement programs while advocating MongoDB adoption and AI-native solutions.

Provide operational support and development for enterprise identity and access systems (Ping Identity/ForgeRock). Build features, perform unit testing, create QA test steps, update ITSM/process documentation, troubleshoot incidents, mentor juniors, and collaborate with global security, development, and product teams to improve authentication, SSO/MFA, and identity governance.

Own and operate virtualized IaaS platforms (KVM, VMware, OpenStack, public cloud). Lead IaC (Terraform, Packer, Ansible) and automation, maintain R&D environments, perform incident RCA, participate in on-call rotation, document processes, and improve developer experience and reliability.

Coordinate and execute regional capability-building programs for Manufacturing & Supply Chain across AMEA. Manage logistics, learning platforms (Workday Learning, SharePoint), training calendars, audits (SMETA), KPI tracking, vendor/PO administration, reporting (Excel/Power BI), and stakeholder engagement. Support digital learning deployment and drive continuous improvement toward strategic capability objectives.

Lead end-to-end data science initiatives to design, build, deploy, monitor, and optimize security-focused AI systems. Develop ML models, LLM fine-tuning, AI agents, and partner with product, engineering, and security teams while mentoring others.

Maintain and improve on-premises MLOps infrastructure: deploy, monitor, and optimize ML models; troubleshoot Linux/Docker/Kubernetes stacks; build CI/CD, deployment, and monitoring tools; productionize research artifacts; enforce testing and engineering standards; collaborate with data scientists and software engineers to scale ML systems.