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Position Overview The Machine Learning Engineer Tribe AI will join the ISPL ITG Fortis ADM unit of BNP Paribas Fortis, operating from the Chennai delivery centre while synchronising with the Brusselsbased AI Tribe. In this role you will be responsible for industrialising AI solutions, turning datascience prototypes into reliable, scalable, productiongrade machinelearning services. Acting as the key bridge between Data Scientists, IT Production, and security teams, you will champion MLOps best practices, enforce codequality and security standards, and ensure a seamless flow from model development to deployment across the banks AI ecosystem. Job Responsibilities Design, build, and optimise datasourcing pipelines (ETL, CFT, Denodo, Airflow) for AI/ML use cases; integrate new internal/external APIs, databases and streaming sources in line with datagovernance and latency targets.Maintain and audit Python environments (uv, pip, mamba/micromamba); upgrade obsolete libraries and ensure version compatibility across dev, test and prod.Conduct regular vulnerability scans, apply security patches, and automate compliance checks in CI/CD pipelines to block vulnerable code.Support CI/CD workflows (Jenkins, GitLab CI/CD) for containerised ML models (Docker/Kubernetes); manage versioning, rollbacks and deployments.Troubleshoot and resolve incidents in QA/Production, coordinating with the PROD IT team to minimise downtime.Collaborate with Data Scientists and production teams to define productionready architectures that meet realtime and highvolume requirements.Promote softwareengineering standards: code quality, secure coding, comprehensive logging and monitoring.Stay current on AI/ML advances (LLMs, agentic AI) and propose innovations that accelerate timetomarket. Required Education, Skills, AND Experience (MUSTHAVE) Masters degree (or equivalent) in Computer Science, IT or a related field; minimum 6 years of professional experience. 4 years of expertlevel Python programming (OOP, decorators, performance optimisation, security).Strong command of Python environment tooling (uv, pip, mamba/micromamba).Proven MLOps expertise: model versioning, deployment, CI/CD, Docker, Kubernetes (scaling, resource management).Handson experience with Jenkins and/or GitLab CI/CD (advanced workflows, artifact handling).Linux/Cloud administration skills (Bash scripting, system troubleshooting).Deep knowledge of PostgreSQL (query optimisation, schema design).Proficiency with Denodo Platform: configuring virtual data layers, creating logical views, data services, API integrations, and writing efficient VQL.Advanced Airflow skills: DAG design, custom operators/hooks, integration with Denodo, PostgreSQL, S3, MLflow/Kubeflow, performance tuning (parallelism, executor selection, XCom handling).Strong SQL capabilities for both relational databases and Denodos VQL.Excellent written and spoken English; comfortable collaborating in Agile squads and communicating across multiple stakeholder groups.Proven proactive mindset and ability to work autonomously within a distributed team. Preferred Education, Skills, AND Experience (NICETOHAVE) Experience designing RESTful APIs with Django or similar frameworks.Familiarity with distributed processing frameworks (Spark, Hadoop) and largescale ETL/ELT pipelines.Knowledge of model compression techniques (quantisation, pruning) for edge or lowlatency deployments.Exposure to datavisualisation and monitoring stacks (Kafka, ELK, Grafana, Kibana) for building operational dashboards.Background in developing or maintaining AIenabled virtual assistants or employeeproductivity tools.Prior experience in a banking or regulated financialservices environment, with an understanding of relevant datagovernance and security standards. About BNP Paribas India Solutions BNP Paribas India Solutions, a whollyowned subsidiary of BNP Paribas SA, operates 24 7 delivery centers in Bengaluru, Chennai and Mumbai. With more than 10 000 professionals, we support the Groups Corporate & Institutional Banking, Investment Solutions and Retail Banking businesses worldwide. BNP Paribas is an equalopportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.