Artificial Intelligence Consultant

ValueMomentum; Hyderabad; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

ValueMomentum is seeking an AI engineer to develop and tune Generative AI models, integrating AI solutions with existing products. The role involves collaborating with data scientists and software engineers, building scalable pipelines, and applying best practices in AI development.

You will work with TensorFlow, PyTorch, and Keras, and leverage cloud platforms for deployment, monitoring, and retraining of models, while mentoring junior team members and contributing to code reviews.

Qualifications

• Proficient with AI/ML frameworks and libraries and scalable training pipelines.
• Experience in generative models and deployment in cloud environments.
• Hands-on with coding assistants and AI platform tools.
• Ability to mentor junior engineers and perform code reviews.

Responsibilities

• Develop and implement ML models and algorithms for AI-driven applications.
• Collaborate with cross-functional teams to integrate AI solutions.
• Analyze data, preprocess, and engineer features for Generative AI.
• Optimize Generative AI models for performance and scalability.
• Experiment with GANs, VAEs, and other architectures.
• Maintain IDE extensions and support AI tooling in development environments.
• Troubleshoot AI issues and ensure reliability of AI systems.
• Participate in CI/CD and automation for AI workflows.

Skills

TensorFlow

PyTorch

Keras

Generative AI

Cloud & MLOps

LangChain

GitHub Copilot

Azure OpenAI

ChatGPT

Tools

GitHub Copilot

Codium

ChatGPT

LangChain

Azure OpenAI

Job description

Responsibilities

• Develop, implement machine learning models and algorithms to solve complex business problems and enhance AI-driven applications
• Collaborate with cross-functional teams, including data scientists, software engineers, to integrate AI solutions into existing products and services
• Hands-on expertise in Python programming and familiarity with AI and machine learning frameworks
• Conduct data analysis, preprocessing, and feature engineering to extract valuable insights using Generative AI, LLMs
• Stay updated on the latest AI, ML, Generative AI advancements, research papers, tools, incorporating them into AI development projects
• Optimize Generative AI models for performance, scalability, and efficiency, leveraging cloud-based resources and distributed computing frameworks
• Actively participate in code reviews and collaborative problem-solving sessions, contributing to the improvement of AI solutions and development processes
• Troubleshoot and resolve AI-related issues, ensuring the reliability and accuracy of AI-driven applications
• Hands-on experience with AI coding assistants (e.g., GitHub Copilot) and other AI-driven development tools
• Design, develop, and maintain IDE extensions for popular development environments such as Visual Studio Code, IntelliJ IDEA, Eclipse, and others
• In depth understanding of concepts related to prompt engineering, LLM models, context window management, Agentic Systems & workflows.
• Design and develop custom generative models tailored to specific applications.
• Experiment with various neural network architectures such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and more
• Data cleaning, chunking & populating data into vector stores
• Experience integrating AI APIs such as OpenAI, Azure OpenAI, LangChain, etc.
• Agentic workflows - LangChain, llama, Semantic kernel or AutoGen
• Azure AI services - specific to GenAI or Agentic Workflow related services such as Azure OpenAI, OpenAI Assistants/AI Agents
• Proficiency with CI/CD and automation tools: GitHub Actions, Azure DevOps, VS Code
• Previous involvement in copilot projects for areas like development, customer Support

Prompt Engineering

• Developing, testing and refining AI-generated text prompts
• Collaborating with content, product and data teams to align prompts with company goals and user needs
• Continuously improving prompt quality, performance and the overall AI prompt generation process
• Experiment with different prompts to optimize AI performance and ensure accuracy and relevance.
• Building a prompt library, Integrating prompts into workflows and applications, Training and tuning AI models
• Create prompt templates and frameworks for specific use cases.
• Troubleshoot and refine prompts that produce suboptimal results

Requirements

• AI-centric libraries like TensorFlow, PyTorch, Keras
• Deep proficiency with AI/ML frameworks and libraries including TensorFlow, PyTorch, and Keras, with the ability to architect scalable training and inference pipelines.
• Strong command of Cloud & MLOps platforms, such as AWS SageMaker, Azure Machine Learning, Google AI Platform, including experience building automated model deployment, monitoring, and retraining pipelines.
• Expertise in generative models such as generative adversarial networks (GANs), variational autoencoders (VAEs)
• Hands-on Experience in using Coding Assistants – GitHub Copilot, Codium, ChatGPT
• Hands-on Experience in using Agentic AI Platforms – Microsoft Copilot Agents, AutoGPT, CrewAI, Anthropic Claude etc
• Experience with cloud platforms like AWS, Azure, GCP
• Provide direction, mentorship for junior AI engineers in all projects related aspects
• Participate & perform code reviews of Generative AI, AI Components & Codebase
• Strong problem-solving skills with the ability to quickly identify the root cause of Java application incidents and perform effective troubleshooting.
• Excellent verbal and written communication skills for interacting with both technical teams and business stakeholders.