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Data Science Engineer @ Bitssens Technologies

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 Data Science Engineer

Job Description

Job Title: Data Scientist (Azure & ML Exposure)

Location: Gurugram, India (WFO)

Experience: 2 to 4 years

Job Type: Full-Time


Job Summery:


We are seeking a results-driven Data Scientist with a strong foundation in machine learning, data analysis, and exposure to Azure ML services. This role involves working on advanced analytics, model building, and supporting deployments on cloud platforms. Candidates should bring experience in real-world projects, especially with Azure-based ML workflows, and be comfortable working in a remote-first, collaborative environment.


Key Responsibilities:

  • Design and build machine learning models for predictive analytics, classification, and forecasting.
  • Perform data exploration, cleaning, feature engineering, and visualization using Python.
  • Apply techniques from NLP, Computer Vision, and Time Series Analysis as needed.
  • Deploy and monitor models using Azure ML, Azure Databricks, and Azure Data Factory.
  • Work closely with cross-functional teams to integrate models into production workflows.
  • Document and present analytical approaches, model performance, and business insights.
  • Contribute to MLOps workflows for automation and scalability of ML pipelines.

Core Qualifications:

  • Machine Learning & AI: Data Science, Deep NLP, Computer Vision, Voice Analysis, Demand Forecasting, Forecasting, Time Series Analysis, LLMs, Generative AI
  • Programming & Frameworks: Python, SQL, Flask, FastAPI
  • Cloud & ML Platforms: Azure, Azure ML Flow, Azure Databricks, Azure DevOps, Azure Data Factory, AWS Forecasting, GCP, Vertex AI, Cloud Functions, Cloud Storage, Cloud Pub/Sub
  • DevOps & Tools: Docker, Kubernetes, Terraform, Airflow, GCP Composer
  • Monitoring & Security: Prometheus, Grafana, ELK Stack, RBAC, Secrets, ConfigMaps, Network Policies, mTLS
  • Data Tools: Snowflake, BigQuery, ETL, APISIX, Kubeflow, Ingress, Istio
  • Model Lifecycle: MLflow, TensorFlow Extended, Kubeflow Pipelines

Preferred Qualifications:

  • Experience in deploying models to production using Azure services.
  • Familiarity with LLM pipelines or Generative AI workflows.
  • Exposure to MLOps and CI/CD pipelines for model training and deployment.Role & responsibilities

What We Offer:

  • Competitive salary and benefits package
  • Opportunity to work with a dynamic team of data scientists and developers Professional
  • growth and learning opportunities

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Software Development - Other
Employement Type: Full time

Contact Details:

Company: Bitssens Technologies
Location(s): Noida, Gurugram

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Keyskills:   Azure SQL Data Science Mechine Learning Python Bigquery Prometheus Azure Databricks Grafana Forecasting Ingres Cloud Storage RBAC Opencv FastAPI Azure Machine Learning ETL Azure Devops Kubernetes

 Fraud Alert to job seekers!

₹ 10-12 Lacs P.A

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Bitssens Technologies

A technology-driven company specializing in products, solutions, and services that empower businesses across industries. With expertise in embedded systems, enterprise solutions, and IT services, we develop innovative products, build tailored solutions, and provide skilled resources to help clie...