Python Programmer

Sigma Allied Services; Bengaluru; On-site; INR 300,000 - 600,000; Full time

Job summary

Sigma Allied Services is seeking experienced AI/ML professionals to design, develop, and deploy enterprise-grade AI solutions. The role involves building scalable ML models, NLP-based applications, and GenAI solutions using prompt engineering, with hands-on work across data preprocessing, feature engineering, and model experimentation.

You will work on end-to-end AI lifecycle projects, collaborate with stakeholders, and adhere to Agile DevOps practices to deliver high-impact enterprise AI assets.

Qualifications

• Hands-on experience building enterprise-grade AI solutions.
• Proven ability to develop scalable ML models and deploy them.
• Strong proficiency in Python and NLP/GenAI tech stacks.
• Experience with cloud platforms and MLOps practices.

Responsibilities

• Design, develop, and deploy AI/ML solutions for enterprise use cases.
• Build predictive models using ML, DL, and NLP techniques.
• Develop Generative AI and LLM-based applications using Prompt Engineering.
• Data preprocessing, feature engineering, and model experimentation.
• Build scalable ML pipelines and deploy models using MLOps.

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

Tools

Azure AI Services

TensorFlow

PyTorch

Scikit-learn

LangChain

OpenAI / Azure OpenAI

Vector Databases

RAG (Retrieval-Augmented Generation)

Docker

Kubernetes

Git

REST APIs

CI/CD

Job description

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

• 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.