We are looking for experienced AI/ML professionals with robust 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

- 714 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:

📌 Python Programmer (Bengaluru)
🏢 Sigma Allied Services
📍 Bengaluru