About BNP Paribas India Solutions:

Established in 2005, BNP Paribas India Solutions is a wholly owned subsidiary of BNP Paribas SA, European Union’s leading bank with an international reach. With delivery centers located in Bengaluru, Chennai and Mumbai, we are a 24x7 global delivery center. India Solutions services three business lines: Corporate and Institutional Banking, Investment Solutions and Retail Banking for BNP Paribas across the Group. Driving innovation and growth, we are harnessing the potential of over 10000 employees, to provide support and develop best-in-class solutions.

About BNP Paribas Group:

 BNP Paribas is the European Union’s leading bank and key player in international banking. It operates in 65 countries and has nearly 185,000 employees, including more than 145,000 in Europe. The Group has key positions in its three main fields of activity: Commercial, Personal Banking & Services for the Group’s commercial & personal banking and several specialised businesses including BNP Paribas Personal Finance and Arval; Investment & Protection Services for savings, investment, and protection solutions; and Corporate & Institutional Banking, focused on corporate and institutional clients. Based on its strong diversified and integrated model, the Group helps all its clients (individuals, community associations, entrepreneurs, SMEs, corporates and institutional clients) to realize their projects through solutions spanning financing, investment, savings and protection insurance. In Europe, BNP Paribas has four domestic markets: Belgium, France, Italy, and Luxembourg. The Group is rolling out its integrated commercial & personal banking model across several Mediterranean countries, Turkey, and Eastern Europe. As a key player in international banking, the Group has leading platforms and business lines in Europe, a strong presence in the Americas as well as a solid and fast-growing business in Asia-Pacific. BNP Paribas has implemented a Corporate Social Responsibility approach in all its activities, enabling it to contribute to the construction of a sustainable future, while ensuring the Group's performance and stability

Commitment to Diversity and Inclusion

At BNP Paribas, we passionately embrace diversity and are committed to fostering an inclusive workplace where all employees are valued, respected and can bring their authentic selves to work. We prohibit Discrimination and Harassment of any kind and our policies promote equal employment opportunity for all employees and applicants, irrespective of, but not limited to their gender, gender identity, sex, sexual orientation, ethnicity, race, colour, national origin, age, religion, social status, mental or physical disabilities, veteran status etc. As a global Bank, we truly believe that inclusion and diversity of our teams is key to our success in serving our clients and the communities we operate in.

About Business line/Function:

ISPL Compliance Hub is focused to protect the reputation of the Group and effectively manage risk across all business areas by providing support to various Compliance functions. At present, the department is broadly organized into divisions, which embed into the areas they support to provide services for Global Compliance Training, Capital Markets Surveillance, Electronic Communication Surveillance, Compliance Migrations Co-Ordination, Personal Account Dealing, MIS and Projects support. The team works closely with business partners in CIB and the wider group

Job Title:

Machine Learning Engineer

Date:

19 Feb 2026

Department:

India COE Compliance Hub

Location:

Mumbai

Business Line / Function:

India COE Compliance Hub – Digital Project Support

Reports to:

(Direct)

Grade: 

(if applicable)

(Functional)

Number of Direct Reports:

NA

Directorship / Registration:

NA

Position Purpose

The Group Compliance function ensures compliance with international regulatory and internal policy requirements. This function requires understanding of the systems and compliance processes support such as KYC, KYS, AML, trade surveillance and sanctions monitoring.

As an ML Engineer, you will join a dynamic team of roughly 40 RPA/AI/tech specialists (ML Engineers, Data Scientists, and Business Analysts) responsible for developing AI & RPA solutions. Our team occupies a unique position to drive the bank’s digital transformation by building Machine‑Learning, NLP, and Generative‑AI solutions for all teams across the following 

-        Compliance: fraud detection, AML-CTF, Surveillance, Professional ethics

-        Risk: operational, credit, market risk coverage, and more.

Responsibilities

Direct Responsibilities

• Work closely with Data Scientists and ML Engineers within the AirTech team
• As a primary mission, maintain (run‑time support and change management) the AI and GenAI solutions that the team has deployed — an area that is expanding rapidly both across the group and within the team.
• Contribute early‑stage to the building and industrialization of these solutions, or to the improvement of frameworks, with a focus on delivering production‑grade code and models.
• Maintain web applications that serve as essential front‑ends for our AI solutions.
• Take part in MLOps activities, especially the deployment and monitoring of our ML models in production.
• Collaborate closely with Data Scientists and ML Engineers to define and manage the full lifecycle of AI models
• As required from time to time, conduct high-level assessments of processes across locations and business lines, evaluating suitability for automation, analysing feasibility. Ensure effective and timely communication of project status, development progress among all project participants. 

Contributing Responsibilities

• Manage Stakeholder expectations w.r.t Projects support, Planning and communication, proactive in escalating challenges to get support.
• Be able to deliver appropriate reporting content, KPI metrics to management with high accountability 

Technical & Behavioral Competencies

• Proficiency in Python (essential). 
• Hands‑on experience in Machine Learning or Generative AI. 
• MLOps: knowledge and experience in fundamentals of Bash scripting, 
• building CI/CD pipelines (GitLab CI, Jenkins, …), 
• Deploying AI models (FastAPI, Docker) 
• maintaining versioning & tracking tools (MLflow) 
• Strong background in data, applied mathematics and algorithms, and predictive modelling. 
• Excellent communication skills in English (spoken and written). 
• Adaptability and ability to collaborate and communicate effectively and proactively, both orally and in writing, with a team located in France are essential. 
• Ability to collaborate effectively with global stakeholders, end users and cross-functional teams
• Excellent interpersonal, communication and people management skills, be able to translate group objectives into measurable KPIs for team.

Good to have skills

• Experience with web frameworks (Angular, JavaScript, Flask, React, Apache). 
• Knowledge of structured SQL databases and unstructured data stores such as Elasticsearch. 
• Familiarity with French language. 

Specific Qualifications (if required)

• Minimum Bachelor’s degree. Higher qualifications in engineering or business management or equivalent program with a specialization in Computer Science or a related field is preferred.
• 7+ years’ relevant experience 

Skills Referential

Behavioural Skills: (Please select up to 4 skills)

Ability to collaborate / Teamwork

Creativity & Innovation / Problem solving

Organizational skills

Critical thinking

Transversal Skills: (Please select up to 5 skills)

Ability to manage a project

Ability to set up relevant performance indicators

Ability to anticipate business / strategic evolution

Ability to manage / facilitate a meeting, seminar, committee, training…

Ability to understand, explain and support change

Education Level: 

 Bachelor Degree or equivalent

Experience Level

At least 7 years

Other/Specific Qualifications (if required)