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61 IT Operations Management Jobs in Chennai

Sr.Data Scientist

3-8 years

₹ 15.3 - 12L/yr (AmbitionBox estimate)

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This is an estimate of the average salary range for this position. It has not been reviewed by the company, and the actual salary may differ.

Chennai

1 vacancy

Sr.Data Scientist

Ford Business Solutions

posted 21hr ago

Job Description

This role combines advanced AI/ML expertise with IT operations (Infrastructure, Networks, Applications, Digital integrated experience) to build scalable solutions for automating processes like incident management, resource allocation, and infrastructure optimization. Key objectives include:

  • Reducing mean time to resolution (MTTR) through predictive maintenance and AI-driven anomaly detection.
  • Deploying Gen AI for log analysis, code generation, and automated documentation using frameworks like GPT-4, LangChain, or Vertex AI.
  • Designing Agentic AI systems where autonomous agents collaborate to execute tasks (e.g., auto-scaling, security threat mitigation).
  • Integrating AI with DevOps pipelines (CI/CD, Kubernetes) and IT tools (ServiceNow, Ansible, Terraform).
  • 5+ years in data science, with 3+ years focused on AI-driven IT automation.
  • Proficiency in Python, PyTorch/TensorFlow, LLM frameworks, and cloud platforms (AWS/GCP/Azure).
  • Advanced degree in Computer Science, Data Science, or related fields. Certifications in AI/ML or MLOps (e.g., AWS ML Specialty, Google Cloud ML Engineer) preferred.
  1. AI/ML Model Development:
    • Build predictive models for IT automation (e.g., incident prediction, resource optimization).
    • Implement reinforcement learning for self-healing infrastructure and auto-scaling.
  2. Gen AI Integration:
    • Develop LLM/RAG-based conversational AI for automated code reviews, log parsing, and knowledge-base curation.
    • Fine-tune models for domain-specific tasks (e.g., IT ticket classification, root-cause analysis).
  3. Agentic AI Design:
    • Architect multi-agent systems to automate workflows like ticket routing, patch management, and compliance checks.
    • Enable real-time collaboration between AI agents and human operators.
  4. Automation Pipeline Engineering:
    • Deploy AI models into production using MLOps tools (MLflow, Kubeflow) and orchestration platforms (Airflow, Prefect).
    • Ensure seamless integration with DevOps pipelines and observability tools (Datadog, Splunk).
  5. Governance Ethics:
    • Enforce transparency, fairness, and compliance (GDPR, SOC2) in AI-driven workflows.
    • Monitor model drift and performance in production systems.

Employment Type: Full Time, Permanent

Read full job description

Ford Business Solutions Interview Questions & Tips

Prepare for Ford Business Solutions Data Scientist roles with real interview advice

What people at Ford Business Solutions are saying

5.0
 Rating based on 2 Data Scientist reviews

Likes

It was really good and great

  • Skill development - Excellent
  • +3 more
Dislikes

Nothing was that bad. I loved it

  • Promotions - Poor
Read 2 Data Scientist reviews

Data Scientist salary at Ford Business Solutions

reported by 18 employees
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₹10.1 L/yr - ₹28 L/yr
25% more than the average Data Scientist Salary in India
View more details

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