Overview
We are seeking a highly skilled Python Developer with expertise in Machine Learning and Data Analytics to join our team. The ideal candidate should have 5-6 years of experience in developing end-to-end ML-driven applications and handling data-driven projects independently. You will be responsible for designing, developing, and deploying Python-based applications that leverage data analytics, statistical modeling, and machine learning techniques.
Key Responsibilities:
Design, develop, and deploy Python applications for data analytics and machine learning.
Work independently on machine learning model development, evaluation, and optimization.
Develop ETL pipelines and process large-scale datasets for analysis.
Implement scalable and efficient algorithms for predictive analytics and automation.
Optimize code for performance, scalability, and maintainability.
Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
Integrate APIs and third-party tools to enhance functionality.
Document processes, code, and best practices for maintainability.
Required Skills & Qualifications:
5-6 years of professional experience in Python application development.
Strong expertise in Machine Learning, Data Analytics, and AI frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).
Proficiency in Python libraries such as Pandas, NumPy, SciPy, and Matplotlib.
Experience with SQL and NoSQL databases (PostgreSQL, MongoDB, etc.).
Hands-on experience with big data technologies (Apache Spark, Delta Lake, Hadoop, etc.).
Strong experience in developing APIs and microservices using FastAPI, Flask, or Django.
Good understanding of data structures, algorithms, and software development best practices.
Strong problem-solving and debugging skills.
Ability to work independently and handle multiple projects simultaneously.
Good to have -
Working knowledge of cloud platforms (Azure/AWS/GCP) for deploying ML models and data applications.
Job Type: Full-time
Pay: ₹800,000.00 - ₹1,000,000.00 per year
Schedule:
- Day shift
Work Location: In person
Expected Start Date: 01/04/2025