Data Science Engineer

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

Benefits offered by this job

Health insurance

Paid leave

Learning and development budget

Performance-based bonuses

Job summary

MHTECHIN™ is seeking a Data Science Engineer in Pune, Maharashtra. The role involves translating business needs into analytical solutions, building predictive models, and deploying them using MLOps practices. Candidates should have 2–6 years of experience, proficiency in Python and statistical analysis, and familiarity with cloud platforms. The position includes hybrid work flexibility, competitive salary, and various benefits such as health insurance and a learning budget.

Qualifications

• 2–6 years of experience in data science, analytics, or data engineering roles.
• Hands-on experience in building and deploying ML models to production.

Responsibilities

• Understand business requirements and translate them into analytical solutions.
• Build, train, and evaluate predictive models using ML techniques.
• Deploy, monitor, and optimize models in production.

Skills

Python with libraries (Pandas, NumPy, scikit-learn)

Data visualization

Statistics and probability

Cloud platforms (AWS/GCP/Azure)

Data engineering

Education

Bachelor’s or Master’s in Computer Science, Data Science, Statistics, AI

Tools

Docker

Big data tools (Spark, Hadoop)

Job description

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

MHTECHIN is a technology innovation firm delivering AI‑powered, data‑driven solutions in fintech, agri‑tech, and SME enablement. As a Data Science Engineer, you will turn complex datasets into actionable insights and production‑grade models that directly impact business outcomes.

Key Responsibilities

• Understand business requirements and translate them into analytical and data engineering solutions.
• Collect, clean, and process structured and unstructured data from multiple sources.
• Build, train, and evaluate predictive and prescriptive models using statistical and ML techniques.
• Develop and maintain data pipelines for batch and real‑time processing.
• Deploy, monitor, and optimize models in production using MLOps practices.
• Work closely with product managers, engineers, and stakeholders to deliver measurable business impact.

Must‑Have Requirements

• 2–6 years of experience in data science, analytics, or data engineering roles.
• Strong proficiency in Python with libraries like Pandas, NumPy, scikit‑learn, and SQL.
• Experience with cloud platforms (AWS/GCP/Azure) and containerization (Docker).
• Hands‑on experience in building and deploying ML models to production.
• Solid understanding of statistics, probability, and data visualization.

Nice‑to‑Have Skills

• Experience with big data tools (Spark, Hadoop) or workflow orchestration (Airflow, Prefect).
• Knowledge of NLP, time‑series forecasting, or recommendation systems.
• Familiarity with FastAPI/Flask, streaming data (Kafka/PubSub), or data warehouses (Snowflake, BigQuery, Redshift).
• Knowledge of data governance, compliance, and security practices.

Why Work With Us

• Impact: Work on projects that directly affect thousands of users across India.
• Growth: Fast‑paced environment with high ownership and learning opportunities.
• Flexibility: Hybrid/remote‑friendly with modern cloud and analytics stack.

Benefits

• Competitive salary with performance‑based bonuses.
• Health insurance and paid leave.
• Learning and development budget.
• Modern hardware and tools for work efficiency.

How To Apply

Send your resume to [e-mail]