Posted 12 June, 2026
Data Scientist (AI/ML, Python, Any cloud)-
NR Consulting - India
Pune, Maharashtra, IN
Full Time
Reference: 26-03055-2220-1
Title: Data Scientist (AI/ML, Python, Any cloud)-
Location: PAN INDIA
Exp: 5+ years
Job Description:
Key Responsibilities
- Develop and implement machine learning models for predictive analytics, classification, and optimization.
- Work with large datasets to perform data cleaning, preprocessing, and feature engineering.
- Collaborate with cross-functional teams to translate business requirements into data-driven solutions.
- Deploy ML models on cloud platforms (AWS, Azure, GCP) ensuring scalability and performance.
- Conduct model evaluation, tuning, and validation to ensure accuracy and reliability.
- Present insights and recommendations to stakeholders using data visualization tools.
- Stay updated with emerging trends in AI/ML, cloud computing, and big data technologies.
=9 Required Skills & Qualifications
- Strong proficiency in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).
- Hands-on experience with AI/ML algorithms and statistical modeling.
- Expertise in cloud platforms (AWS, Azure, GCP) for ML deployment.
- Solid understanding of data structures, algorithms, and distributed computing.
- Experience with SQL/NoSQL databases and data pipelines.
- Strong problem-solving and analytical skills.
- Bachelor's/master's degree in computer science, Data Science, or related field.
=9 Preferred Skills
- Experience with MLOps frameworks (Kubeflow, MLflow, Airflow).
- Knowledge of big data tools (Spark, Hadoop).
- Familiarity with deep learning architectures (CNNs, RNNs, Transformers).
- Strong communication and stakeholder management skills.
Location: PAN INDIA
Exp: 5+ years
Job Description:
Key Responsibilities
- Develop and implement machine learning models for predictive analytics, classification, and optimization.
- Work with large datasets to perform data cleaning, preprocessing, and feature engineering.
- Collaborate with cross-functional teams to translate business requirements into data-driven solutions.
- Deploy ML models on cloud platforms (AWS, Azure, GCP) ensuring scalability and performance.
- Conduct model evaluation, tuning, and validation to ensure accuracy and reliability.
- Present insights and recommendations to stakeholders using data visualization tools.
- Stay updated with emerging trends in AI/ML, cloud computing, and big data technologies.
=9 Required Skills & Qualifications
- Strong proficiency in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).
- Hands-on experience with AI/ML algorithms and statistical modeling.
- Expertise in cloud platforms (AWS, Azure, GCP) for ML deployment.
- Solid understanding of data structures, algorithms, and distributed computing.
- Experience with SQL/NoSQL databases and data pipelines.
- Strong problem-solving and analytical skills.
- Bachelor's/master's degree in computer science, Data Science, or related field.
=9 Preferred Skills
- Experience with MLOps frameworks (Kubeflow, MLflow, Airflow).
- Knowledge of big data tools (Spark, Hadoop).
- Familiarity with deep learning architectures (CNNs, RNNs, Transformers).
- Strong communication and stakeholder management skills.