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Software Developer - AI/ML

  • Source: LinkedIn
  • ToggleNow
  • On-site
  • Hyderabad
  • Full-Time
  • Mid level

Job Description

Job Title Software Developer – AI/ML Engineer

Company: ToggleNow

Location: Hyderabad

Experience: 2–4 Years

Employment Type: Full-Time

Submit your application: https://ignite.togglenow.com/apply/REWW99ERAMJ6

About the Role

ToggleNow is seeking a passionate and innovative AI/ML Engineer to join our growing AI practice. The ideal candidate will have hands-on experience in Machine Learning, Deep Learning, Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), Natural Language Processing (NLP), and AI-powered chatbot development.

You will be responsible for designing, developing, and deploying intelligent AI solutions that solve real-world business challenges while collaborating closely with product, engineering, and business teams.

Freshers with exceptional AI/ML projects, internships, and strong technical foundations are encouraged to apply.

Key Responsibilities

  • Design, develop, and deploy Machine Learning and Deep Learning models for enterprise applications.
  • Build and optimize Generative AI solutions using Large Language Models (LLMs).
  • Develop and implement Retrieval-Augmented Generation (RAG) architectures using vector databases.
  • Fine-tune, evaluate, and optimize open-source and commercial LLMs.
  • Develop AI-powered chatbots, virtual assistants, and conversational AI solutions.
  • Implement NLP solutions including text classification, sentiment analysis, summarization, entity extraction, and semantic search.
  • Build scalable REST APIs to integrate AI models into business applications.
  • Work with structured and unstructured datasets for model training and evaluation.
  • Collaborate with product managers, software engineers, and data teams to deliver AI-driven solutions.
  • Monitor model performance, accuracy, scalability, and reliability in production environments.
  • Participate in solution architecture, technical design, and product ownership activities.
  • Stay updated with advancements in AI, Generative AI, Agentic AI, and emerging technologies.

Required Skills & Qualifications

  • B.E./B.Tech/M.Tech in Computer Science, Artificial Intelligence, Information Technology, Data Science, or a related discipline.
  • MCA or M.Sc. (Computer Science, Data Science, AI) can also apply.
  • 2–4 years of experience in AI/ML development, Data Science, or related domains.
  • Strong programming skills in Python.
  • Hands-on experience with Machine Learning and Deep Learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Experience working with Large Language Models (LLMs) and Generative AI applications.
  • Knowledge of LangChain, LlamaIndex, OpenAI APIs, or similar AI frameworks.
  • Experience building RAG pipelines and working with vector databases such as Pinecone, ChromaDB, FAISS, Weaviate, or Milvus.
  • Understanding of NLP techniques and modern transformer-based architectures.
  • Experience developing REST APIs using FastAPI, Flask, or similar frameworks.
  • Familiarity with Git and software development best practices.
  • Strong analytical, problem-solving, and communication skills.

Preferred Skills

  • Experience with cloud platforms such as AWS, Azure, or GCP.
  • Exposure to MLOps tools and model deployment pipelines.
  • Knowledge of Docker, Kubernetes, and containerized deployments.
  • Experience with AI agents, multi-agent frameworks, and workflow orchestration.
  • Understanding of prompt engineering and LLM evaluation techniques.
  • Relevant certifications in AI, Machine Learning, Cloud, or Data Science.

What We Offer

  • Opportunity to work on cutting-edge AI and Generative AI technologies.
  • Exposure to enterprise-scale AI implementations.
  • Learning, certification, and career growth opportunities.
  • Collaborative and innovation-driven work culture.
  • Competitive compensation and benefits package.

Skills

  • Python
  • Tensorflow
  • PyTorch
  • Scikit-learn
  • LangChain
  • LlamaIndex
  • FAISS
  • Milvus
  • FastAPI
  • Flask
  • amazon-web-services
  • microsoft-azure
  • google-cloud-platform
  • Docker
  • Kubernetes
  • scaleai
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