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Ai Ml Engineer

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Hybrid

Ai Ml Engineer

Sigma Allied Services

Ai Ml Engineer

Skills

Google Cloud PlatformSQL QueriesData EngineeringDeep LearningDockerPythonData SciencePyTorchTensorFlowMachine LearningAIAWSKubernetesNLP / Natural Language ProcessingAzure

2 months ago

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Important information


Contract type:

Permanent

Salary:

₹1,400,000 – ₹2,400,000 / year

Location:

India

Work mode:

Hybrid

Published on:

7 September 2026

What they need


AI/ML Computational Science Associate Manager

  • Experience: 1014 Years
  • Qualification: PhD / BE / B.Tech

Job Summary

We are looking for experienced AI/ML professionals with strong expertise in Machine Learning, Deep Learning, NLP, Generative AI, LLMs, Prompt Engineering, Python, Azure Machine Learning, MLOps, and Cloud Technologies. The ideal candidate should have hands-on experience building enterprise-grade AI solutions, developing scalable machine learning models, and working across the complete AI/ML lifecycle.

Key Responsibilities

  • Design, develop, and deploy AI/ML solutions for enterprise use cases.
  • Build predictive models using Machine Learning, Deep Learning, and NLP techniques.
  • Develop Generative AI and LLM-based applications using Prompt Engineering.
  • Perform data preprocessing, feature engineering, and model experimentation.
  • Build scalable ML pipelines and deploy models using MLOps best practices.
  • Work with structured, unstructured, and streaming data.
  • Collaborate with business stakeholders to identify AI-driven solutions.
  • Optimize AI models for performance, scalability, and business impact.
  • Drive innovation, reusable AI assets, and enterprise AI solutions.
  • Mentor technical teams and collaborate with cross-functional stakeholders.
  • Follow Agile development practices and contribute to DevOps-based delivery.

Mandatory Skills

  • Python (Programming Language)
  • Machine Learning
  • Machine Learning Algorithms
  • Deep Learning
  • Natural Language Processing (NLP)
  • Generative AI (GenAI)
  • Large Language Models (LLMs)
  • Prompt Engineering
  • Microsoft Azure Machine Learning
  • MLOps
  • Data Engineering
  • Feature Engineering
  • Model Development & Experimentation
  • AI Solution Architecture
  • Cloud Technologies (Azure/AWS/GCP)
  • SQL & NoSQL Databases
  • Agile Methodology
  • DevOps

Preferred Skills

  • Azure AI Services
  • TensorFlow
  • PyTorch
  • Scikit-learn
  • LangChain
  • OpenAI / Azure OpenAI
  • Vector Databases
  • RAG (Retrieval-Augmented Generation)
  • Docker
  • Kubernetes
  • Git
  • REST APIs
  • CI/CD
  • Storytelling & Presentation Skills
  • Product Architecture Design

Preferred Candidate Profile

  • 7–14 years of experience in AI/ML, Data Science, or Computational Science.
  • Strong hands-on experience in Python, Machine Learning, NLP, and Generative AI.
  • Experience developing enterprise AI products and deploying ML models into production.
  • Exposure to cloud platforms, MLOps, and scalable AI architectures.
  • Excellent communication, stakeholder management, and leadership skills.
  • Experience managing cross-functional teams will be an added advantage for the Associate Manager role.

If you are interested, please share your updated resume along with the following details:

  • Total Experience:
  • Relevant Experience in AI/ML:
  • Experience in Python:
  • Experience in Machine Learning:
  • Experience in NLP / GenAI / LLM:
  • Experience in Azure ML / MLOps:
  • Current Company:
  • Current CTC:
  • Expected CTC:
  • Notice Period:
  • Current Location:

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