AI/ML Developer
2 days ago
At oCode Technologies, We are looking for an experienced AI/ML Developer who can design, build, and deploy intelligent systems, machine learning models, and data-driven solutions. The ideal candidate should have strong experience in Python, ML frameworks, and real-world model deployment..
Key Responsibilities
- Develop, train, and deploy machine learning and deep learning models.
- Build scalable AI/ML pipelines, data processing workflows, and automation tools.
- Work with large datasets for data cleaning, feature engineering, and model training.
- Optimize models for performance, accuracy, and scalability.
- Collaborate with developers, data engineers, and product teams to deliver AI-driven features.
- Research and implement state-of-the-art algorithms, tools, and techniques.
- Deploy ML models using cloud platforms (AWS, Azure, GCP) or containerization (Docker).
- Monitor, maintain, and improve deployed models.
Required Skills & Qualifications
- Strong proficiency in Python and ML libraries (NumPy, Pandas, Scikit-learn).
- Experience with Deep Learning frameworks (TensorFlow, Keras, PyTorch).
- Knowledge of NLP, Computer Vision, or Generative AI is a strong plus.
- Experience working with REST APIs, data pipelines, and model deployment.
- Understanding of algorithms, statistics, and linear algebra.
- Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, Docker, Git).
- Ability to write clean, optimized, and production-ready code.
- Strong problem-solving and analytical skills.
Education
- Bachelor's or Master's in Computer Science, Data Science, AI/ML, Engineering, or equivalent experience.
Preferred Qualifications
- Experience with Large Language Models (LLMs), fine-tuning, vector databases (Pinecone, FAISS).
- Experience deploying models on AWS SageMaker / Azure ML / GCP Vertex AI.
- Knowledge of SQL/NoSQL databases.
- Experience working in Agile environments.
Job Types: Full-time, Permanent
Pay: ₹25, ₹50,000.00 per month
Benefits:
- Paid sick time
- Paid time off
- Provident Fund
Experience:
- total work: 3 years (Required)
Work Location: In person
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