Machine Learning (MLOps ) Engineer / Consultant Specialist

HSBC; Pune District; Hybrid; INR 15,00,000 - 25,00,000; Full time

Job summary

A leading global banking firm is seeking a Machine Learning Engineer/Consultant Specialist to design, develop, and deploy machine learning models. You will work in a hybrid work style with a focus on preprocessing large datasets and collaborating with various teams for production integration. The role demands at least 10 years of software development experience, including expertise in Python and various ML technologies.

Benefits

Continuous professional development

Flexible working opportunities

Inclusive and diverse environment

Qualifications

• Minimum 10 years of software development experience.
• 5+ years of relevant experience in ML technologies.
• Strong experience in Python (3.x).
• Excellent knowledge in scikit-learn, TensorFlow / PyTorch.

Responsibilities

• Design, develop, and deploy machine learning models.
• Preprocess and analyze large datasets.
• Collaborate with teams for production integration.
• Monitor and maintain deployed models.

Skills

Python (3.x)

Machine Learning

Natural Language Processing (NLP)

scikit-learn

TensorFlow

PyTorch

SQL

Docker

Kubernetes

Data Analysis

Tools

Oracle

PostgreSQL

NoSQL database

NLTK

Word2Vec

SpaCy

Job description

Machine Learning (MLOps ) Engineer / Consultant Specialist

Brand: HSBC

Area of Interest: Technology

Location: Pune, MH, IN, 411006

Work style: Hybrid Worker

Date: 27 Oct 2025

Some careers shine brighter than others.

If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.

HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions.

We are currently seeking an experienced professional to join our team in the role of Consultant Specialist

• The individual in this role as ML Engineer will be accountable for Design, develop, and deploy machine learning models and algorithms to solve business problems.
• Below are the key responsibilities / activities that need to be planned, attested and executed under the remit of this role by working effectively and collaboratively with the different delivery teams.

In this role, you will:

• Design, develop, and deploy machine learning models and algorithms to solve business problems.
• Preprocess and analyze large datasets to extract meaningful insights.
• Build and optimize data pipelines (Extract data from Oracle, Elasticsearch, storage buckets, etc.) for training and deploying ML models.
• Collaborate with data scientists, software engineers, and stakeholders to integrate ML solutions into production systems.
• Monitor and maintain deployed models to ensure performance and accuracy over time.
• Research and implement state-of-the-art machine learning techniques and tools.
• Document processes, experiments, and results for reproducibility and knowledge sharing.
• Stay up to date with tech, prototype with and learn new technologies, proactive in technology communities.
• Develop & maintain ML models for Credit monitoring domain. E.g. Perpetual credit montiroing.
• Develop innovative solutions in areas such as machine learning, Natural Language Processing (NLP), advanced and semantic information search, extraction, induction, classification and exploration.
• Create products that provide a great user experience along with high performance, security, quality, and stability.

To be successful in this role, you should meet the following requirements:

• Minimum 10 years of software development experience. 5+ years of relevant experience in ML technologies mentioned below.
• Excellent problem-solving and communication skills.
• Strong experience in Python (3.x).
• Excellent working knowledge on scikit-learn, TensorFlow / PyTorch, Docker/Kubernetes.
• Good experience of SQL, Oracle/PostgreSQL, any NoSQL database, File buckets.
• Experience in using data from data lake.
• Excellent knowledge and demonstrable experience in using open‑source NLP packages such as NLTK, Word2Vec, SpaCy.
• Experience in setting up supervised & unsupervised learning models including data cleaning, data analytics, feature creation, model selection & ensemble methods, performance metrics & visualization.
• Solid understanding of ML algorithms, ML statistics, and data structures.
• Excellent interpersonal, presentation and analytical skills.
• Familiarity with MLOps practices for model deployment and monitoring.
• Experience working in banking domain with exposure credit monitoring.
• Experience in automating the continuous integration/continuous delivery pipeline within a DevOps Product/Service team driving a culture of continuous improvement.

HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.

Issued by – HSBC Software Development India