Job Title: Machine Learning Engineer (Azure + Databricks)

Location: Navi Mumbai, Bengaluru, Pune, Gurugram, Chandigarh

Notice Period: Immediate or serving notice period

Relevant Experience: 3+ Years

Primary Skills:

Job Summary:

We are seeking a talented and accomplished Machine Learning Engineer with expertise in Azure and

Databricks. The ideal candidate will have a strong foundation in machine learning, deep learning, and

artificial intelligence, with a proven track record of developing and deploying models in real-world

applications. This role requires hands-on experience with machine learning frameworks, cloud

platforms, and DevOps practices. You will lead machine learning projects and mentor other engineers,

contributing to Bizmetric's growth in AI and ML fields.

Key Responsibilities:

Lead Machine Learning Projects:
Take full ownership of machine learning projects from start to finish, including problem
definition, data collection, model development, and deployment.
Algorithm Development:
Develop and optimize machine learning algorithms using techniques such as deep learning,
natural language processing, computer vision, and reinforcement learning.
Data Preparation:
Pre-process and transform large datasets to create high-quality training data for model
development.
Model Evaluation:
Implement testing and validation procedures to ensure the performance, accuracy, and
scalability of machine learning models.

BIZ-METRIC

Deployment and Integration:
Collaborate with cross-functional teams to deploy machine learning models into production
environments and integrate them with existing systems.
Collaboration with DevOps Team:
Work closely with the DevOps team, having a basic understanding of version control systems
(Git), CI/CD pipelines, and tools like Terraform.

Required Skills:

Python DS | DE | ETL: Minimum of 2 years of hands-on experience.
Advanced Python: Proven hands-on experience in advanced Python coding and libraries.
Machine Learning: Experience in developing machine learning models and deploying them in
production.
ML Frameworks: Familiarity with tools like Scikit-learn, TensorFlow, or PyTorch.
Azure Cloud: Strong experience working on Azure cloud services and tools.
Databricks: Experience with Databricks for big data processing and machine learning pipelines.
DevOps Knowledge: Basic understanding of DevOps practices, CI/CD pipelines, and version
control.
Deep Learning: Understanding of deep learning principles and techniques.
NLP & Computer Vision: Basic understanding of Natural Language Processing (NLP) and
Computer Vision.
Python for Image Processing: Experience or understanding of image processing libraries like
OpenCV.

Preferred Skills:

Agile Methodology: Familiarity with Agile frameworks and practices.
Experience working in a collaborative, team-based environment with cross-functional teams.
Why Join Us
Learning & Certification Opportunities to enhance your professional growth.
Comprehensive Medical Coverage and Life Insurance for your well-being.
Flexible Work Environment with a 5-day work week.
Be part of a fun, collaborative, and innovative workplace culture.

Sr. Executive | Data Analyst | NSD_Data

Machine Learning Engineer