• **Role Overview:**

You are required to have 1-3 years of hands-on experience in AI and ML with DevOps exposure. The role is for an AI/ML Engineer with basic DevOps skills to assist in the development, deployment, and monitoring of machine learning models. Your responsibilities will include developing, training, and evaluating ML models, data preprocessing, feature engineering, model tuning, deploying ML models using APIs or batch pipelines, automating deployment using DevOps tools, monitoring model performance, collaborating with data engineers and software teams, and maintaining documentation for models and deployments.

• **Key Responsibilities:**
• Develop, train, and evaluate machine learning models for business use cases
• Perform data preprocessing, feature engineering, and model tuning
• Deploy ML models using APIs or batch pipelines
• Work with DevOps tools to automate deployment (CI/CD pipelines)
• Monitor model performance and retrain models when required
• Collaborate with data engineers and software teams for integration
• Maintain documentation for models, pipelines, and deployments
• **Qualifications Required:**
• Strong understanding of ML algorithms (regression, classification, clustering)
• Experience with Python libraries like NumPy, Pandas, Scikit-learn
• Basic knowledge of deep learning frameworks (TensorFlow / PyTorch)
• Understanding of data handling and preprocessing techniques
• DevOps / MLOps
• Familiarity with version control tools like Git
• Basic knowledge of CI/CD tools (Jenkins, GitHub Actions, etc.)
• Experience with Docker for containerization
• Exposure to cloud platforms (AWS / Azure / GCP preferred)
• Understanding of model deployment and API creation (Flask / FastAPI)

This job is Industry: IT Services & Consulting, Functional Area / Department: Data Science & Analytics, Role Category: Data Science & Machine Learning, Role: Machine Learning Engineer, Employment Type: Contract.

Please share your profiles on (e-mail removed) with your current and expected CTC, current location, notice period, using reference code *DRANN* in the subject line if you match the job profile provided above at DynPro in Bengaluru. - **Role Overview:**

You are required to have 1-3 years of hands-on experience in AI and ML with DevOps exposure. The role is for an AI/ML Engineer with basic DevOps skills to assist in the development, deployment, and monitoring of machine learning models. Your responsibilities will include developing, training, and evaluating ML models, data preprocessing, feature engineering, model tuning, deploying ML models using APIs or batch pipelines, automating deployment using DevOps tools, monitoring model performance, collaborating with data engineers and software teams, and maintaining documentation for models and deployments.

• **Key Responsibilities:**
• Develop, train, and evaluate machine learning models for business use cases
• Perform data preprocessing, feature engineering, and model tuning
• Deploy ML models using APIs or batch pipelines
• Work with DevOps tools to automate deployment (CI/CD pipelines)
• Monitor model performance and retrain models when required
• Collaborate with data engineers and software teams for integration
• Maintain documentation for models, pipelines, and deployments
• **Qualifications Required:**
• Strong understanding of ML algorithms (regression, classification, clustering)
• Experience with Python libraries like NumPy, Pandas, Scikit-learn
• Basic knowledge of deep learning frameworks (TensorFlow / PyTorch)
• Understanding of data handling and preprocessing techniques
• DevOps / MLOps
• Familiarity with version control tools like Git
• Basic knowledge of CI/CD tools (Jenkins, GitHub Actions, etc.)
• Experience with Docker for containerization
• Exposure to cloud platforms (AWS / Azure / GCP preferred)
• Understanding of model deployment and API creation (Flask / FastAPI)

This job is Industry: IT Services & Consulting, Functional Area / Department: Data Science & Analytics, Role Category: Data Science & Machine Learning, Role: Machine Learning Engineer, Employment Type: Contract.

Please share your profiles on (e-mail removed) with your current and expected CTC, current location, notice period, using reference code *DRANN* in the subject line if you match the job profile provided above at DynPro in Bengaluru.