Rabindra Sarobar Kolkata West Bengal Full stack developer python, .net kolkata Jobs – 159 Open Jobs Today

Data Scientist
CodeClouds —Kolkata, West Bengal
- Full-time
- Azure
- Doctoral degree
- Research
- Health insurance
- Paid time off
Senior .NET / C# Developer - India
Pursuit Software —Kolkata, West Bengal
- Azure
- Computer Science
- DevOps
Project Partner
MOL Information Technology —Salt Lake, Kolkata, West Bengal
- ₹10,00,000 - ₹18,00,000 a year
- Azure
- Computer Science
- DevOps
2d
Dot Net Developer
eGrove Systems Pvt. Ltd —Kolkata, West Bengal
- ₹15,000 - ₹20,000 a month
- Full-time
- Computer Science
- Software troubleshooting
- SQL
Quick apply
7d
IN_Associate_.NET with REACT/Angular_Digital Integration_Advisory_Kolkata
PwC —Kolkata, West Bengal
- Full-time
- Azure
- Software troubleshooting
- DevOps
6d
Web Developer
Dygitech —Kolkata, West Bengal
- Full-time
- Windows
- SQL
- Bachelor's degree
Senior Software Engineer
MOL Information Technology —Salt Lake, Kolkata, West Bengal
- ₹8,00,000 - ₹18,00,000 a year
- Full-time
- Azure
- Computer Science
- DevOps
AutoCad 3d Designer cum Marketing Executive
FT creations —Ganguly Bagan, Kolkata, West Bengal
- ₹45,000 - ₹65,000 a month
- Full-time
- AutoCAD
- English
- Bachelor's degree
Quick apply
Data Engineer || Product Based MNC (Direct Payroll) || Kolkata Location
Digital Aptech —Kolkata, West Bengal
- ₹10,00,000 - ₹15,00,000 a year
- Full-time
- Azure
- Oracle
- SQL
Senior Asp.Net Developer
Dialmetrics —Kolkata, West Bengal
- Full-time
- Master's degree
- Bachelor's degree
- JavaScript
Sr. Developer – Dot Net
CureTech Services —Kolkata, West Bengal
- Full-time
- English
- Master's degree
- SQL
DOT net Developer
MG Tathya Solutions —Kolkata, West Bengal
- SQL
- HTML
Machine Learning Engineer
CodeClouds —Kolkata, West Bengal
- Full-time
- Azure
- System design
- English
- Health insurance
- Paid time off
IN_Senior Associate_Data Engineering_Digital Integration_Advisory_Kolkata
PwC —Kolkata, West Bengal
- Full-time
- Azure
- DevOps
- Data analysis skills
Sr. Developer – Dot Net Exp. 8 to 12 Years
CureTech Services —Kolkata, West Bengal
- Full-time
- Oracle
- English
- Windows
Senior Software Engineer, Windows/Desktop Applications - Kolkata, India
Speechify —Kolkata, West Bengal
- Remote
- Doctoral degree
- Windows
- C++
12d
IN_Senior Associate_Project Manager_Digital Integration_Advisory_Kolkata
PwC —Kolkata, West Bengal
- Full-time
- Microsoft Excel
- Azure
- DevOps
14d
Business Analyst
SHOPPERBEATS INDIA PRIVATE LIMITED —Salt Lake, Kolkata, West Bengal
- ₹15,000 - ₹30,000 a month
- Full-time
- Microsoft Excel
- Finance
- Analysis skills
- Flexible schedule
- Paid sick time
Quick apply
Senior Software Engineer
Nature Technologies —Kolkata, West Bengal
- ₹5,00,000 - ₹7,50,000 a year
- Azure
- B.Sc
- English
Azure Backend Engineer (.NET, Terraform)
Informica Solutions —Unknown, West Bengal
- Azure
- Computer Science
- Bachelor's degree
Quick apply

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Data Scientist

CodeClouds -
Kolkata, West Bengal

Apply Now

Job details

Full-time

Benefits

Health insurance
Paid time off

Qualifications

TensorFlow
CI/CD
Statistics
Power BI
Azure
Statistics
Doctoral degree
Cassandra
Kubernetes
Calculus
Big data
Enterprise Software
Spark
NumPy
R
NoSQL
Maths
Git
Research
MongoDB
Tableau
Survival analysis
Master's degree
SQL
Pandas
AWS
Julia
Docker
Sentiment analytics
Bachelor's degree
Machine learning
Scala
Continuous integration
Deep learning
Natural language processing
S3
Kafka
Data science
Keras
Redshift
AI
Graph databases
Python
Analytics
Hadoop

Full job description

Job Details

Available Locations

Kolkata, India

Roles & Responsibilities

1.
Advanced Analytics & Modeling
- Design, implement, and deploy predictive, prescriptive, and optimization models at enterprise scale.
- Apply mathematical modeling including linear algebra, multivariate calculus, stochastic processes, graph theory, and optimization techniques (convex, non-convex, combinatorial).
- Develop statistical models: Bayesian inference, hierarchical modeling, time series, survival analysis, causal inference, and probabilistic graphical models.
- Lead feature engineering, dimensionality reduction, embeddings, and representation learning for complex datasets.
2.
Machine Learning & AI
- Implement supervised, unsupervised, semi-supervised, and reinforcement learning algorithms.
- Build deep learning architectures: CNNs, RNNs, LSTMs, Transformers, Graph Neural Networks (GNNs), and Autoencoders.
- Develop NLP solutions: embeddings, word2vec, BERT, GPT-style models, sequence modeling, summarization, and sentiment analysis.
- Apply graph analytics for network data, knowledge graphs, and recommendation systems.
- Evaluate models rigorously using cross-validation, AUC, precision/recall, F1, SHAP/LIME, and advanced statistical tests.
3.
Enterprise-Scale Data Engineering
- Architect and maintain large-scale data pipelines using Spark, Hadoop, Kafka, Flink, or equivalent.
- Integrate heterogeneous structured, semi-structured, and unstructured data from multiple enterprise systems.
- Ensure data quality, governance, security, and compliance (GDPR, HIPAA, SOC2).
4.
MLOps & Production Deployment
- Implement MLOps best practices: model versioning, automated testing, CI/CD pipelines, containerization, and orchestration.
- Deploy models on cloud platforms (AWS SageMaker/EMR, GCP Vertex AI, Azure ML) and monitor performance and drift.
- Build real-time and batch inference pipelines for high-throughput enterprise applications.
5.
Strategy, Leadership & Collaboration
- Translate complex analytical outputs into actionable business insights for executives.
- Collaborate with engineering, product, finance, operations, and marketing teams to embed AI/ML solutions.
- Mentor and guide junior and mid-level data scientists, fostering best practices in modeling, coding, and documentation.
- Lead R&D initiatives, exploring emerging AI/ML technologies and innovation opportunities.
Technical Skills & Tools
Mathematics & Statistics:
- Linear algebra, calculus, probability, stochastic processes, discrete math, graph theory, combinatorics.
- Regression, Bayesian statistics, hypothesis testing, multivariate analysis, time series forecasting, survival analysis, causal inference, and optimization.
Machine Learning & AI:
- Supervised, unsupervised, semi-supervised, reinforcement learning.
- Ensemble methods, deep learning (CNN, RNN, LSTM, Transformers, GNN), NLP, autoencoders, embeddings.
- Model interpretability: SHAP, LIME, Integrated Gradients.
- Hyperparameter optimization, grid search, Bayesian optimization.
Programming & Libraries:
- Python (NumPy, Pandas, scikit-learn, TensorFlow, PyTorch, Keras, XGBoost, LightGBM), R, Scala, Julia.
- Big Data: Spark MLlib, Hadoop, Kafka, Flink, Dask.
- SQL, NoSQL (MongoDB, Cassandra), Data Warehouses (Redshift, Snowflake, BigQuery).
- Visualization: Matplotlib, Seaborn, Plotly, Tableau, Power BI.
Cloud, MLOps & Infrastructure:
- AWS (S3, SageMaker, EMR, Lambda), Azure (ML Studio, Databricks), GCP (BigQuery, Vertex AI).
- Containers & Orchestration: Docker, Kubernetes.
- MLOps frameworks: MLflow, Kubeflow, TFX, Airflow, Prefect.
- Monitoring & Logging: Prometheus, Grafana, ELK stack, DataDog.
Enterprise & Governance:
- Data governance, security, compliance (GDPR, HIPAA, SOC2).
- Scalable architecture for multi-terabyte datasets.
- Knowledge of CI/CD pipelines, version control (Git), reproducible research practices.
Soft Skills & Leadership
- Ability to communicate complex models in simple business terms.
- Strong strategic thinking, problem-solving, and critical reasoning.
- Mentoring and developing high-performing data science teams.
- Leading cross-functional projects and influencing enterprise AI strategy.
Qualifications
- PhD, Master's, or Bachelor's in Mathematics, Statistics, Computer Science, Data Science, Operations Research, or related field.
- 7–15+ years of enterprise-scale data science, ML, and AI experience.
- Proven experience deploying production ML systems at scale.
- Hands-on expertise in mathematical modeling, optimization, AI/ML, deep learning, and cloud platforms.
- Experience leading analytics teams and enterprise-wide AI/ML projects.
Why Join
- Lead enterprise AI/ML innovation at scale.
- Collaborate with top-tier technical and business leaders.
- Access to state-of-the-art tools, cloud infrastructure, and cutting-edge research.
- Drive impactful decisions and strategic initiatives across the organization.

What we offer you

Flexible Working
Competitive Compensation
Insurance Benefits
Training & Mentoring
Frequent Celebrations
Home Office Allowance
Paid Leave Benefits
Retirement Benefits
Partial Course Funding
Team Building Activities

Apply Now

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Roles & Responsibilities

Advanced Analytics & Modeling

Machine Learning & AI

Enterprise-Scale Data Engineering

MLOps & Production Deployment

Strategy, Leadership & Collaboration

Technical Skills & Tools

Mathematics & Statistics:

Machine Learning & AI:

Programming & Libraries:

Cloud, MLOps & Infrastructure:

Enterprise & Governance:

Soft Skills & Leadership

Qualifications

Why Join

What we offer you

Flexible Working

Competitive Compensation

Insurance Benefits

Training & Mentoring

Frequent Celebrations

Home Office Allowance

Paid Leave Benefits

Retirement Benefits

Partial Course Funding

Team Building Activities