AI Developer
TechotlistContract
Required Skillset:
PythonPandasAmazon Web Services (aws)SqlTensorflowPytorchScikit-learnNumpyGitGoogle Cloud PlatformAzureDockerKubernetesMatplotlibKerasSeabornApache AirflowClassificationComputer VisionRegressionRest ApisNatural Language ProcessingClusteringNosql DatabasesLarge Language Models (llms)KubeflowMachine Learning AlgorithmsMlflowCi/cd PipelinesVector DatabasesPrompt EngineeringPineconeData Visualization ToolsFaissMlops ToolsDeep Learning Frameworks
Job Description
Job Summary
We are seeking an experienced AI Developer with 3–5 years of hands-on experience in designing, developing, and deploying AI/ML solutions. The ideal candidate will work on building intelligent systems using machine learning, deep learning, and data-driven techniques to solve real-world business problems.
Key Responsibilities
- Design, develop, and deploy AI/ML models for production environments
- Build and optimize machine learning models using supervised and unsupervised learning techniques
- Work with structured and unstructured data for training and inference
- Implement NLP, Computer Vision, or recommendation systems as required
- Integrate AI models with backend services and APIs
- Perform data preprocessing, feature engineering, and model evaluation
- Tune models for accuracy, performance, and scalability
- Collaborate with product managers, data engineers, and software teams
- Monitor model performance and retrain models when needed
- Document model architecture, workflows, and results
Required Skills
- Strong programming skills in Python (NumPy, Pandas, Scikit-learn)
- Experience with Machine Learning algorithms (Regression, Classification, Clustering)
- Hands-on experience with Deep Learning frameworks: TensorFlow / PyTorch / Keras
- Knowledge of NLP or Computer Vision techniques
- Experience with REST APIs and model integration
- Understanding of SQL/NoSQL databases
- Experience with data visualization tools (Matplotlib, Seaborn)
- Familiarity with Git and CI/CD pipelines
Preferred Skills
- Experience with Large Language Models (LLMs) and prompt engineering
- Knowledge of MLOps tools (MLflow, Kubeflow, Airflow)
- Experience deploying models on AWS / Azure / GCP
- Familiarity with Docker and Kubernetes
- Knowledge of vector databases (FAISS, Pinecone)
Qualifications
- Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field
- 3–5 years of professional experience in AI/ML development
- Strong problem-solving and analytical skills
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