Machine Learning Developer

OneMagnify; Chennai District; On-site; INR 600,000 - 1,000,000; Full time

Benefits offered by this job

Medical Insurance

PF

Gratuity

Paid holidays

Job summary

OneMagnify seeks a Machine Learning Developer to design, develop, and optimize ML models that drive business growth and enhance customer experiences. You will work across the full data science lifecycle, from data prep to deployment, leveraging Python, SQL, and leading ML frameworks.

Responsibilities include building LLM-based applications, RAG systems, and AI-powered personalization, with collaboration across Marketing, Sales, Product, and Engineering.

Qualifications

• 3+ years of hands-on ML/DL model development and optimization.
• Proficiency in Python and SQL for data analytics and deployment.
• Experience with Scikit-learn, TensorFlow, and PyTorch.
• Experience with LLMs, RAG, LangChain, and LlamaIndex preferred.
• Cloud exposure (GCP) and MLOps concepts is a plus.
• Experience with dashboards and reporting (Power BI).

Responsibilities

• Model development and optimization of ML/DL algorithms.
• Build LLM-based apps, RAG systems, and AI personalization.
• Data preparation, feature engineering, and dataset creation.
• Experimentation, model evaluation, and performance tuning.
• Collaborate with Marketing, Sales, Product, and Engineering teams.
• Stay current with AI/ML trends to suggest opportunities.

Skills

Machine learning

Deep learning

Python

SQL

LLMs

MLOps

Power BI

Feature engineering

Experimentation

Education

Bachelor's or Master's in Computer Science / Data Science / AI / Statistics

Tools

TensorFlow

PyTorch

Scikit-learn

LangChain

LlamaIndex

Google Cloud Platform (GCP)

Job description

The Impact You’ll Have:

We are looking for a Machine Learning Developer who possesses deep knowledge in model development, advanced analytics, and Generative AI. You will play a key role in designing, developing, and optimizing ML models that drive business growth and enhance customer experiences.

What you’ll do:

• Model Development: Build, develop, train, and optimize advanced algorithms based on machine learning and deep learning to address business challenges and improve customer outcomes.
• Generative AI Solutions: Build and enhance LLM-based applications, RAG systems, and AI-powered personalization solutions.
• Data Preparation & Feature Engineering: Analyze large datasets, perform feature engineering, and develop high-quality training datasets for model development.
• Experimentation & Analysis: Conduct model testing, performance evaluation, and continuous experimentation to improve prediction accuracy and business impact.
• Business Collaboration: Partner with Marketing, Sales, Product, and Engineering teams to translate business problems into AI-driven solutions.
• AI Innovation: Stay current with emerging AI/ML techniques and identify opportunities to leverage them across the organization.

What you’ll need:

3+ years of hands-on experience developing, implementing, and optimizing Machine Learning and Deep Learning models to solve complex business problems. Strong expertise in supervised and unsupervised learning techniques, including classification, regression, clustering, forecasting, recommendation systems, neural networks, and deep learning. Experience across the full data science lifecycle, including feature engineering, statistical modeling, experimentation, model evaluation, performance tuning, and optimization. Proficiency in Python and SQL for data analysis, data processing, model development, and deployment. Hands-on experience with machine learning frameworks such as Scikit-learn, TensorFlow, and/or PyTorch. Ability to translate business requirements into predictive analytics and AI-driven solutions that deliver measurable business value. Experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), LangChain, and LlamaIndex is highly preferred. Exposure to cloud-based environments and data platforms, preferably Google Cloud Platform (GCP), with familiarity in MLOps concepts and best practices considered a plus. Experience building dashboards, visualizations, and executive-level reporting using Power BI or similar visualization tools. Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, or a related quantitative field.

Future-Ready Skills (Nice to Have):

Experience in integrated marketing, digital agency, marketing services, or consulting environments preferred.

Benefits

• We offer a comprehensive benefits package including Medical Insurance, PF, Gratuity, paid holidays, and more.

We are an equal opportunity employer

We believe that Innovative ideas and solutions start with unique perspectives.

That’s why we’re committed to providing every employee a workplace that’s free of discrimination and intolerance.

We’re proud to be an equal opportunity employer and actively search for like-minded people to join our team.

Whether it’s awareness, advocacy, engagement, or efficacy, we move brands forward with work that delivers results. Through meaningful analytics, engaging communications and innovative technology solutions, we help clients tackle their most ambitious projects and overcome their biggest challenges.