AI/ML Engineer

18 hours ago

Ahmedabad, Gujarat, India Zaptech Solutions Full time ₹ 6,00,000 - ₹ 18,00,000 per year

Company Description

Zaptech Solutions is a fast-growing technology solutions provider delivering innovative products and services in AI, ML, cloud, and software development. We pride ourselves on creating intelligent, scalable solutions that make real-world impact. Our team thrives on innovation, collaboration, and continuous learning.

Role Description

We are looking for an experienced
AI/ML Engineer
to join our team. The role involves developing, fine-tuning, and deploying advanced machine learning and deep learning models, including
CNNs, RNNs, LLMs, and RAG pipelines
, to power next-generation AI applications. This is a full-time on-site role for an AI/ML Engineer, located in Ahmedabad.

Key Responsibilities

  • Design, develop, and deploy end-to-end ML/AI models.
  • Work with large datasets: data cleaning, preprocessing, feature engineering, and EDA.
  • Develop and optimize
    deep learning models (CNNs, RNNs, Transformers)
    for computer vision, NLP, and sequential data.
  • Fine-tune and optimize
    large language models (LLMs)
    for domain-specific use cases.
  • Build and implement
    RAG (Retrieval-Augmented Generation)
    pipelines with vector databases.
  • Ensure model performance, scalability, and efficiency in real-time production environments.
  • Collaborate with cross-functional teams (data engineers, developers, product managers).
  • Stay updated on the latest research and trends in AI/ML and apply them to projects.

Required Skills & Qualifications

  • Bachelor's/Master's in Computer Science, Data Science, AI/ML, or related field.
  • 5–6 years of proven experience in AI/ML engineering.
  • Proficiency in
    Python
    with libraries/frameworks such as PyTorch, TensorFlow, Scikit-learn, Pandas, NumPy.
  • Strong understanding of
    ML concepts, deep learning (CNN, RNN, Transformers), NLP, and computer vision
    .
  • Hands-on experience in
    LLM fine-tuning and prompt engineering
    .
  • Familiarity with
    vector databases
    (Pinecone, FAISS, Weaviate, Milvus) for RAG-based solutions.
  • Experience deploying ML models using Flask/FastAPI, Docker, and cloud platforms (AWS/GCP/Azure).
  • Strong analytical and problem-solving skills.
  • Good communication and teamwork skills.

Nice-to-Have

  • Knowledge of
    MLOps tools
    (MLflow, Kubeflow, Airflow).
  • Experience with big data frameworks (Spark, Hadoop).
  • Familiarity with
    generative AI architectures
    and reinforcement learning.

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