Machine Learning / Data Science Engineer
Experience: 3+ Years
Job Overview
We are seeking a highly motivated and skilled Machine Learning / Data Science Engineer with strong expertise in Artificial Intelligence, Machine Learning, and Deep Learning technologies. The ideal candidate should possess hands-on experience in designing, developing, deploying, and optimizing scalable ML solutions while working closely with business stakeholders to derive actionable insights from data.
The candidate should be passionate about solving complex business problems through data-driven approaches and capable of writing clean, production-grade Python code.
Essential Qualifications
- Bachelor's degree in Computer Science, Engineering, or a related field (B.E./B.Tech preferred)
- 3+ years of relevant industry experience in Machine Learning and/or Data Science
- Strong analytical and problem-solving abilities with a passion for working with data
- Relevant certifications in Data Science, Machine Learning, AWS, or Deep Learning are preferred
Required Technical Skills
- Hands-on experience in:
- Artificial Intelligence (AI)
- Machine Learning (ML)
- Deep Learning
- ML Infrastructure & Deployment
- Strong understanding of Machine Learning algorithms such as:
- Linear Regression
- Logistic Regression
- K-Means Clustering
- Predictive Modeling Techniques
- Strong programming expertise in Python
- Experience building and consuming REST APIs / FastAPI services
- Good understanding of cloud platforms, preferably AWS
- Experience developing, training, testing, and deploying Deep Learning models in cloud environments
Functional Competencies
- Data & Quantitative Analysis
- Data Mining & Data Manipulation
- Data Visualization
- Statistical & Predictive Modeling
- Model Deployment & Optimization on AWS
- Analytical Thinking & Business Problem Solving
Key Responsibilities
- Develop clean, scalable, maintainable, and well-documented production-level Python code
- Build and deploy Machine Learning and Deep Learning models for real-world business use cases
- Analyze large datasets to uncover insights, trends, and opportunities
- Design and implement statistical models, predictive analytics, and data mining solutions
- Collaborate with cross-functional teams to understand business requirements and convert them into analytical solutions
- Develop scalable and reliable AI/ML pipelines and infrastructure
- Optimize model performance and ensure efficient deployment in cloud environments
- Work on REST/FastAPI-based microservices for ML applications
- Continuously improve model accuracy, scalability, and performance
Preferred Skills
- Experience with AWS ML services
- Familiarity with MLOps concepts and deployment pipelines
- Knowledge of data visualization tools and frameworks
- Understanding of scalable AI architecture and model optimization techniques
