ML Engineer- I

Groww; Bengaluru; On-site; INR 800,000 - 1,200,000; Full time

Job summary

A leading financial services company in Bengaluru is seeking a Technical Recruiter to design and implement scalable machine learning solutions. The candidate will develop and optimize ML models, contribute to generative AI features, and monitor deployed models' performance. Ideal applicants have 1-2 years of experience in applied machine learning, proficiency in Python, and familiarity with cloud services. This full-time position offers a collaborative environment focused on customer-centric solutions.

Qualifications

• 1-2 years of experience in applied machine learning and model deployment.
• Implement ML systems using classical ML algorithms and GenAI techniques.
• Strong grasp of ML pipelines, feature engineering, and basic MLOps practices.

Responsibilities

• Design and implement scalable machine learning solutions aligned with objectives.
• Develop, test, and optimize ML models for production.
• Monitor performance of models and improve based on user experience.

Skills

Applied machine learning

Model deployment

Python

Machine learning frameworks

Cloud services

MLOps practices

Education

Master’s degree in Computer Science, Machine Learning, or related discipline

Tools

PyTorch

TensorFlow

Hugging Face

AWS

GCP

Azure

Job description

All Things Talent || Technical Recruiter ツ||Engineering -Product-Design-Data Hiring || ツ

About Groww:

We are a passionate group of people focused on making financial services accessible to every Indian through a multi‑product platform. Each day, we help millions of customers take charge of their financial journey. Customer obsession is in our DNA. Every product, every design, every algorithm down to the tiniest detail is executed keeping the customers’ needs and convenience in mind. Our people are our greatest strength. Everyone at Groww is driven by ownership, customer‑centricity, integrity and the passion to constantly challenge the status quo.

Are you as passionate about defying conventions and creating something extraordinary as we are? Let’s chat.

Our Vision

Every individual deserves the knowledge, tools, and confidence to make informed financial decisions. At Groww, we are making sure every Indian feels empowered to do so through a cutting‑edge multi‑product platform offering a variety of financial services. Our long‑term vision is to become the trusted financial partner for millions of Indians.

Our Values

Our culture enables us to be what we are — India’s fastest‑growing financial services company. It fosters an environment where collaboration, transparency, and open communication take center‑stage and hierarchies fade away. There is space for every individual to be themselves and feel motivated to bring their best to the table, as well as craft a promising career for themselves.

Values that form our foundation:

• Radical customer centricity
• Keeping everything simple
• Long‑term thinking
• Complete transparency

Key Responsibilities:

• Design and implement scalable machine learning solutions aligned with product and business objectives.
• Develop, test, and optimize ML models for deployment in production environments.
• Contribute to the development of generative AI features such as conversational interfaces and personalization modules.
• Monitor performance of deployed models and iterate to improve accuracy, latency, and user experience.
• Follow best practices in model development, experimentation, and deployment.

Required Skills and Experience:

• 1–2 years of experience in applied machine learning and model deployment.
• Implement ML systems using both classical ML algorithms (e.g., XGBoost, Random Forests, SVMs) and GenAI techniques (LLMs, VAEs, GANs).
• Proficiency in Python and commonly used ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face).
• Experience building and deploying models using cloud services (AWS, GCP, or Azure).
• Strong grasp of ML pipelines, feature engineering, and basic MLOPs practices.
• Ability to work collaboratively and communicate technical concepts clearly.
• Experience contributing to production‑level ML solutions that deliver measurable value.

Preferred Qualifications:

• Master’s degree in Computer Science, Machine Learning, or related discipline.
• Exposure to fintech or financial services domain is a plus.
• Familiarity with recommendation engines or personalization techniques.
• Contributions to open‑source ML projects or community.

Seniority level

Entry level

Employment type

Full‑time