Job Title: Ai/ml Engineer With Devops (1- 3 Year Experience)
- DynPro
- 1 - 3 years
- Bengaluru
- 9 hours ago
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Job Description
*We need candidates with 1-3 years hands-on experience in AI ML with DEVOPS*
*CTC - INR 7 LPA to 11 LPA*
Plz share profiles on Pr*******p@dy********a.com with your current and expected CTC, current location and notice period, using reference code *DRANN* in the subject line, if your skills match our below job-profile---
*Job Title*: AI/ML Engineer with DevOps (1- 2 Year Experience)
*Job Summary*
We are looking for a motivated AI/ML Engineer with basic DevOps exposure to support the development, deployment, and monitoring of machine learning models. The candidate should have hands-on experience in building ML models and an understanding of deploying them in production environments.
*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
*Required Skill in AI/ML*
- 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)
*Good to Have*
- Experience with Kubernetes
- Knowledge of ML lifecycle tools (MLflow, Airflow, Kubeflow)
- Exposure to monitoring tools (Prometheus, Grafana)
- Understanding of REST APIs and microservices architecture
*Qualifications*
Bachelors degree in Computer Science, Data Science, or related field
1 year of hands-on experience in AI/ML projects (full-time excluding internship)
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Machine Learning EngineerEmployement Type: ContractContact Details:
Company: DynProLocation(s): Bengaluru
Keyskills: Artificial Intelligence Machine Learning Devops Python Ml Ci Cd Pipeline Advanced Analytics Predictive Analytics
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DynPro
DynPro is a Global Leader in IT Solutions & Services. We focus on partnering with our clients to drive real process innovation, with our global workforce of 1200 practitioners. Were proud to work with prestigious clients such as IBM, Airbnb, eBay, Cisco, Lenovo, Clorox, NC State to name a f...
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