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 specialized 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, corporate 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, color, 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:
For 150 years, BNP Paribas Wealth Management has been committed to protecting clients’ wealth, developing it, and eventually passing it on to their loved ones. We deliver tailor-made experience, with outstanding attention to detail and expertise from precise local knowledge to the global know-how that we access from the Group. Our goal is to create a new wealth management experience fit for a world where digital interactions have come to enhance human ones. Wealth Management Investment Solution Hub (WMIS Hub) provides a global IT solution for BNP Paribas Wealth Management where we develop, maintain, and evolve IT applications which fits to the specific needs of BNP Paribas Wealth Management business users.
Job Title:
Machine Learning Engineer
Date:
07Jan2025
Department:
IT
Location:
Chennai / Bangalore
Business Line / Function:
Wealth Management
Reports to:
(Direct)
Grade:
(if applicable)
(Functional)
Number of Direct Reports:
NA
Directorship / Registration:
NA
Position Purpose
We are looking for a talented MLOps Engineer to join our production team, specializing in implementing cutting-edge generative AI and machine learning applications. The ideal candidate will have hands-on experience with tools such as Microsoft OpenAI, Domino Data Lab, and Mistral models. This role requires the ability to identify differences between various models, monitor their performance, and collaborate closely with application teams to share knowledge and best practices.
Responsibilities
As a MLOps engineer under IT Production, your will:
- Collaborate with data scientists and software engineers to Implement and optimize generative AI and machine learning models in production environments.
- Provision & manage the infrastructure required for hosting ML models, including cloud resources and on-premises servers.
- Utilize containerization technologies like Docker to package models and dependencies.
- Develop and maintain CI/CD pipelines for automating the testing, integration, and deployment of ML models.
- Implement version control to track changes in both code and model artifacts.
- Optimize existing models for performance and scalability.
- Establish monitoring solutions to track the performance and health of deployed models.
- Set up logging mechanisms to capture relevant information for debugging and auditing purposes.
- Ensure compliance with BNP Paribas group regulations and data protection standards.
- Document processes, methodologies, and results for transparency and reproducibility.
Technical & Behavioral Competencies
Qualification & Experience:
- Total 7+ years of overall IT experience.
Mandatory Skills
- Architecture and deployment of solutions on cloud platforms like Azure/AWS or GCP.
- Proficient in machine learning algorithms, models, and statistical concepts.
- Knowledge of data preprocessing techniques and feature extraction.
- Experience with generative AI tools (e.g., Microsoft OpenAI, Domino Data Lab).
- Skilled in MLOps frameworks (e.g., Kubeflow, MLFlow, DataRobot, Airflow).
- Docker and Kubernetes, OpenShift for container management and scaling.
- Proficient in programming languages (Python, Go, Ruby, Bash) and Linux.
- Familiarity with machine learning frameworks (scikit-learn, Keras, PyTorch, TensorFlow).
- Experience with CI/CD pipelines.
- Knowledge of IaC tools (e.g., Terraform, CloudFormation) and configuration management tools (e.g., Ansible).
- Experience with Mistral models and other machine learning frameworks.
- Strong understanding of machine learning algorithms and model evaluation techniques.
- Model monitoring and troubleshooting skills.
- Excellent problem-solving and analytical skills.
- Strong communication skills for technical and non-technical stakeholders.
- Collaborative teamwork in cross-functional teams.
Nice to have Qualifications:
- Strong knowledge on API Management and Integration using APIGEE API Management platform
- Domino Datalab certification
- MLOps Certification
- Working knowledge of Scrum framework
Specific Qualifications (if required)
Skills Referential
Behavioural Skills: (Please select up to 4 skills)
Attention to detail / rigor
Organizational skills
Ability to deliver / Results driven
Critical thinking
Transversal Skills: (Please select up to 5 skills)
Analytical Ability
Ability to develop and adapt a process
Ability to develop others & improve their skills
Ability to manage a project
Ability to set up relevant performance indicators
Education Level:
Bachelor Degree or equivalent
Experience Level
At least 5 years
Other/Specific Qualifications (if required)
