Machine Learning Engineer

MHTECHIN™; Maharashtra; Hybrid; INR 1,200,000 - 2,400,000; Full time

Benefits offered by this job

Health insurance

Paid time off

Learning and development stipend

Modern hardware and remote working support

Job summary

A technology company in Pune is seeking a Machine Learning Engineer to design, train, and deploy AI models impacting fintech, agri-tech, and SME sectors. Ideal candidates have 2-6 years of relevant experience, strong Python skills, and familiarity with deployment in production settings. This full-time role offers a hybrid work environment, competitive salary of ₹12,00,000 - ₹24,00,000 per year, and various benefits including health insurance and learning stipends.

Qualifications

• 2–6 years of hands-on experience in ML/DS/ML engineering with production deployments.
• Strong skills in writing clean, maintainable, and tested code.
• Experience in model deployment using MLOps best practices.

Responsibilities

• Translate business problems into data/ML solutions with clear metrics.
• Explore, clean, and prepare datasets; build features and baselines.
• Train, evaluate, and optimize supervised, unsupervised, and deep learning models.

Skills

Python

NumPy

Pandas

scikit-learn

Deep learning frameworks (PyTorch or TensorFlow)

Cloud deployment (AWS/GCP/Azure)

Docker

SQL

Education

Bachelor’s in Computer Science, AI, Electrical Engineering or equivalent

Tools

FastAPI

Flask

MLops

Airflow

Kafka

Job description

Overview

Job Title: Machine Learning Engineer
Company: MHTECHIN
Location: Pune, Maharashtra, India (Hybrid/Remote)
Employment Type: Full-time
Experience Required: 2–6 years
Salary Range: ₹12,00,000 – ₹24,00,000 per year
Education: Bachelor’s in Computer Science, AI, Electrical Engineering, or equivalent experience

About the Company

MHTECHIN is building practical AI that powers products in fintech, agri-tech, and SME enablement. As a Machine Learning Engineer, you will design, train, and deploy models that go directly into production—owning the full lifecycle from experimentation to monitoring.

Key Responsibilities

• Translate business problems into data/ML solutions with clear metrics and success criteria.


• Explore, clean, and prepare datasets; build features and baselines; run reproducible experiments.


• Train, evaluate, and optimize supervised, unsupervised, and deep learning models.


• Build robust data/ML pipelines for ETL, training, and real-time/batch inference.


• Deploy models using MLOps best practices including CI/CD, model registry, and monitoring.


• Collaborate with product and engineering teams to integrate models into APIs and applications.

Must-Have Requirements

• 2–6 years of hands-on experience in ML/DS/ML engineering with production deployments.


• Strong Python skills with experience in NumPy, Pandas, scikit-learn, and at least one deep learning framework (PyTorch or TensorFlow).


• Cloud deployment experience (AWS/GCP/Azure), containerization with Docker, and Git-based CI/CD.


• Strong SQL skills and understanding of data modeling.


• Ability to write clean, maintainable, and tested code.

Nice-to-Have Skills

• Experience with feature stores, workflow orchestration tools (Airflow/Prefect), and model monitoring.


• Knowledge of NLP (transformers), time-series modeling, or recommendation systems.


• Familiarity with FastAPI/Flask, streaming systems (Kafka/PubSub), or vector databases.


• Awareness of data security, privacy, and compliance standards.

Why Work With Us

• Impact: Your models will be used by real customers across India.


• Growth: Small, fast-moving team with high ownership and mentorship.


• Flexibility: Hybrid/remote-friendly with modern tooling and cloud stack.

Benefits

• Competitive salary and performance bonuses.


• Health insurance and paid time off.


• Learning and development stipend.


• Modern hardware and remote working support.

How To Apply

Email your resume to [e-mail]

Job Details

Job Category: Data Science

Job Type: Full Time

Job Location: Pune