ML Ops Engineer

mPokket; Bengaluru; On-site; INR 1,000,000 - 1,600,000; Full time

Job summary

A leading company in the IT sector is seeking a Data Scientist to transform raw data into actionable insights. You will work within the data science team on projects aimed at leveraging data effectively to meet business objectives. Your strong analytical skills and experience in deploying models will help improve product offerings. If you possess a relevant degree and years of experience in analytics, we'd like to connect with you.

Qualifications

• 3+ years of experience solving analytical problems using quantitative approaches.
• Experience deploying machine learning models in production.
• Familiarity with Kafka Streaming and Batch processing is advantageous.

Responsibilities

• Work with the data science team, plan projects, and build analytics models.
• Align data products with business goals to enhance products and decisions.
• Develop strategies for monitoring model performance and health.

Skills

Problem-solving

Statistical analysis

Data structures

Algorithms

Software engineering principles

RESTful APIs

SQL

NoSQL

Machine learning

Python

Education

Bachelor’s or Master’s degree in Computer Science

Operations Research

Econometrics

Statistics

Tools

Databricks

MLflow

Python frameworks (e.g., Flask, Django)

PySpark

Pandas

scikit-learn

SQLAlchemy

Requests

Job description

We are looking for a Data Scientist to help us gain useful insights from raw data.

The responsibilities include working with the data science team, planning projects, and building analytics models. You should have strong problem-solving skills and expertise in statistical analysis. If you can align our data products with business goals, we’d like to meet you. Your goal will be to improve our products and decisions by leveraging our data effectively.

Minimum qualifications:

● Bachelor’s or Master’s degree in Computer Science, Operations Research, Econometrics, Statistics, or related technical field

● 3+ years of experience solving analytical problems using quantitative approaches

Technical Skills (must-have):

● Experience with Databricks and MLflow

● Experience deploying machine learning models in production

● Expertise in data structures, algorithms, object-oriented programming, and software engineering principles

● Ability to develop strategies for monitoring model performance and health

● Proficiency in developing RESTful APIs using Python frameworks (e.g., Flask, Django)

● Strong SQL and NoSQL database query skills

● Excellent problem-solving skills in Python

● Familiarity with Python libraries such as PySpark, Pandas, scikit-learn, SQLAlchemy, and Requests

Good to have:

● Expertise in Kafka Streaming and Batch processing

● Knowledge of version control systems (e.g., Git) and CI/CD practices

● Experience with Python multiprocessing and worker/queue systems

● Understanding of event-driven or asynchronous programming

Additional details:

● Seniority level: Associate

● Employment type: Full-time

● Job function: Information Technology

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