Srs Business Solutions India is seeking an experienced AI/ML Developer to design and optimize machine learning and deep learning models. The ideal candidate will have 3–12 years of experience, a degree in Computer Science or Data Science, and strong programming skills in Python. Responsibilities include building ML pipelines, collaborating with teams, and implementing advanced solutions. Familiarity with ML libraries like TensorFlow, NLP, and cloud platforms such as AWS is preferred. This role is based in Hyderabad, India.
Qualifications
3–12 years of hands-on experience in AI/ML development.
Strong programming skills in Python are mandatory.
Solid understanding of supervised and unsupervised learning.
Responsibilities
Design, develop, and optimize machine learning and deep learning models.
Build and deploy scalable ML pipelines in production environments.
Collaborate with cross-functional teams including product and data engineering.
Skills
Machine Learning
Deep Learning
Python
Data Cleaning
Feature Engineering
NLP
Computer Vision
Education
Bachelor's or Master's degree in Computer Science, Data Science, or related field
Tools
TensorFlow
PyTorch
Scikit-learn
Pandas
NumPy
SQL
AWS
Azure
GCP
Flask
FastAPI
Git
Job description
Key Responsibilities
Design, develop, and optimize machine learning and deep learning models for real-world applications
Work with large datasets: data cleaning, preprocessing, feature engineering
Build and deploy scalable ML pipelines in production environments
Collaborate with cross-functional teams including product, data engineering, and software teams
Implement NLP, computer vision, or predictive analytics solutions (based on business needs)
Monitor model performance and retrain models as needed
Conduct A/B testing and performance tuning
Stay updated with the latest advancements in AI/ML technologies
Required Skills & Qualifications
Bachelors or Master’s degree in Computer Science, Data Science, or related field
3–12 years of hands‑on experience in AI/ML development
Strong programming skills in Python(mandatory)
Experience with ML libraries/frameworks:
TensorFlow / PyTorch / Scikit-learn
Solid understanding of:
Supervised & Unsupervised Learning
Deep Learning concepts
Model evaluation techniques
Experience with data handling tools:
Pandas, NumPy, SQL
Familiarity with cloud platforms:
AWS / Azure / GCP
Experience in deploying models using APIs (Flask/FastAPI)
Knowledge of version control (Git) and CI/CD pipelines
Preferred Qualifications
Experience with NLP (e.g., Transformers, BERT) or Computer Vision
Exposure to MLOps tools (MLflow, Kubeflow, Docker, Kubernetes)