dronagiri navi mumbai maharashtra data scientist Jobs – 32 Open Jobs Today

Machine Learning Engineer
MobileProgramming —Navi Mumbai, Maharashtra
- Azure
- Computer Science
- Master's degree
Artificial Intelligence Engineer
Spherex —Navi Mumbai, Maharashtra
- Azure
- Computer Science
- Databases
Lead Machine Learning Engineer
Morningstar —Navi Mumbai, Maharashtra
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Master's degree

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Machine Learning Engineer

MobileProgramming -
Navi Mumbai, Maharashtra

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Job details

Qualifications

TensorFlow
CI/CD
Image processing
Azure
Computer Science
Kubernetes
Software deployment
Spark
NumPy
R
Git
MongoDB
Master's degree
SQL
Pandas
AWS
Analysis skills
Docker
Bachelor's degree
Machine learning
PostgreSQL
Continuous integration
Natural language processing
Data science
Keras
AI
Jenkins
Python
MySQL
Data Science
Analytics
Hadoop

Full job description

Candidate Skill:

Python, R, TensorFlow, PyTorch, Scikit-learn, MLflow, Kubeflow, Docker, Kubernetes, AWS SageMaker, GCP AI Platform, Airflow, Data Engineering, Model Deployment, NLP, Computer Vision, CI/CD, Git, Spark, Data Lake.

Experience:

3 - 5 Years

City:

Navi Mumbai, Ghansoli

Country:

India

Job Description:

We are looking for an experienced Machine Learning Engineer to design, build, and deploy intelligent ML solutions that power data-driven business decisions. The ideal candidate will have a strong background in machine learning algorithms, model deployment, and MLOps, with hands-on experience in Python and cloud-based ML platforms. Key Responsibilities: Design, develop, and deploy machine learning and deep learning models for various business use cases. Implement and optimize data preprocessing, feature engineering, and model training pipelines. Collaborate with data scientists, engineers, and product teams to translate requirements into scalable ML solutions. Deploy models using MLOps frameworks (TensorFlow Serving, MLflow, Kubeflow, or SageMaker). Monitor model performance, retrain and tune models as required. Ensure high-quality documentation, reproducibility, and model governance compliance. Technical Skills: Languages: Python, R, SQL Frameworks/Libraries: TensorFlow, PyTorch, Scikit-learn, XGBoost, Keras MLOps Tools: MLflow, Kubeflow, Airflow, Docker, Kubernetes, Jenkins Cloud Platforms: AWS (SageMaker), Azure ML, or GCP AI Platform Data Handling: Pandas, NumPy, Spark, Hadoop (optional) Model Types: Classification, Regression, NLP, Computer Vision, Time Series Forecasting Databases: PostgreSQL, MySQL, MongoDB, BigQuery Version Control: Git, CI/CD pipelines Preferred Qualifications: Experience in productionizing ML models and building end-to-end ML pipelines. Familiarity with data lake architectures and real-time analytics. Understanding of feature stores and model monitoring tools. Strong problem-solving and analytical thinking skills. Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field. Skills (One Line): Python, R, TensorFlow, PyTorch, Scikit-learn, MLflow, Kubeflow, Docker, Kubernetes, AWS SageMaker, GCP AI Platform, Airflow, Data Engineering, Model Deployment, NLP, Computer Vision, CI/CD, Git, Spark, Data Lake.

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