AI/ML Developer
1 week ago
We are seeking a passionate and skilled AI/ML Developer with at least 3 years of hands-on experience in machine learning, deep learning, and data-driven application development. The ideal candidate will design, develop, and deploy intelligent solutions to solve real-world business challenges using cutting-edge AI/ML technologies.
Key Responsibilities:
- Design, develop, and deploy machine learning and deep learning models for various use cases.
- Work with large datasets to perform data cleaning, preprocessing, and feature engineering.
- Build predictive and recommendation systems using algorithms such as regression, classification, clustering, NLP, and computer vision.
- Optimize model performance, scalability, and accuracy.
- Collaborate with cross-functional teams to integrate ML solutions into production environments.
- Stay up to date with the latest AI/ML frameworks, libraries, and research trends.
- Implement model monitoring, retraining, and continuous improvement strategies.
Required Skills & Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or a related field.
- 3+ years of experience in machine learning, deep learning, or AI application development.
- Strong programming skills in Python and experience with libraries such as TensorFlow, PyTorch, Keras, Scikit-learn, Pandas, NumPy.
- Hands-on experience with NLP, Computer Vision, or Generative AI is a plus.
- Experience with cloud platforms (AWS, Azure, GCP) and deployment of ML models.
- Familiarity with SQL/NoSQL databases, APIs, and microservices.
- Strong understanding of algorithms, statistics, and data structures.
Preferred Skills (Good to Have):
- Experience with MLOps tools like MLflow, Kubeflow, or Docker/Kubernetes.
- Knowledge of Big Data frameworks (Spark, Hadoop).
- Exposure to LLMs (Large Language Models) and AI model fine-tuning.
Job Type: Full-time
Pay: ₹25, ₹80,000.00 per month
Education:
- Bachelor's (Required)
Experience:
- AI: 2 years (Required)
- ML: 2 years (Required)
Work Location: In person
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