Posted:6 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

AI/ML Engineer/ Software Engineer

Expected joining: within 0-5 days

Work Mode: WFO- Bopal,Ahmedabad,Gujarat.

Exp: 2-3 years in AI/ML development

Apply on: hiring@mobilefirst.in


About company:

MobileFirst Applications, established in 2014, is a renowned Software Development Studio specializing in customized iOS, Android, Blockchain, Web, and AI solutions. Leveraging an extensive tech stack including Swift, React Native, ObjectiveC, Java, NodeJS, and AI tools, our team has successfully collaborated with top-tier clients across industries such as automobile, lifestyle, sports, and food tech. We have also played a critical role in empowering startups like Flipkart Health Plus and GetMyParking in their digital transformation efforts. With a focus on AI innovation, our expertise includes delivering AI bots, trained LLMs, chatbots, and OpenAI plugins for various domains, including Fintech and EdTech. At MobileFirst, we are committed to fostering innovation and delivering exceptional, scalable, and sustainable solutions.


What we're looking for:

AI/ML Engineer

 

Key Responsibilities:

  • Design and implement

    RAG-based architectures

    combining LLMs with document retrieval systems.
  • Build and optimize

    embedding generation

    ,

    vector database storage

    , and

    context retrieval

    pipelines.
  • Integrate AI components with existing web applications via

    RESTful APIs

    or

    FastAPI/Django/Flask

    frameworks.
  • Develop, test, and maintain

    backend endpoints

    for AI-powered features.
  • Work with

    OpenAI

    ,

    Azure OpenAI

    , or other LLM providers to fine-tune and deploy model endpoints.
  • Handle

    data ingestion, transformation, and indexing

    from multiple sources (databases, files, APIs).
  • Develop and deploy

    computer vision models

    for tasks such as image classification, object detection, or visual search.
  • Collaborate with frontend, data, and DevOps teams to ensure smooth model deployment and performance monitoring.
  • Maintain proper

    version control

    ,

    logging

    , and

    error-handling

    for AI services in production.
  • Optimize latency and response quality in real-time AI inference pipelines.


Required skills & qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related field.
  • 2–3 years

    of experience developing and deploying

    ML/NLP and Computer Vision

    solutions.
  • Proficiency in

    Python

    and frameworks like

    FastAPI

    ,

    Flask

    , or

    Django REST Framework

    .
  • Hands-on experience with

    LangChain

    ,

    LlamaIndex

    , or similar RAG orchestration frameworks.
  • Familiarity with

    vector databases

    such as

    Pinecone

    ,

    FAISS

    ,

    Chroma

    , or

    Weaviate

    .
  • Experience integrating

    LLM APIs

    (OpenAI, Azure OpenAI, Anthropic, Mistral, etc.) into production systems.
  • Experience with

    computer vision libraries

    such as

    OpenCV

    ,

    PyTorch

    ,

    TensorFlow

    , or

    YOLO

    .
  • Good understanding of

    embeddings

    ,

    prompt engineering

    , and

    context retrieval techniques

    .
  • Working knowledge of cloud platforms (

    AWS

    ,

    Azure

    , or

    GCP

    ) and deployment pipelines.
  • Strong knowledge of

    SQL

    and basic data modeling concepts.


Good to have:

  • Exposure to

    MLOps practices

    (MLflow, DVC, Docker, CI/CD).
  • Familiarity with

    monitoring tools

    and

    observability frameworks

    for AI APIs.
  • Experience integrating

    multimodal AI models

    (text + image).


Soft Skills:

  • Strong problem-solving and debugging skills.
  • Ability to translate business requirements into scalable technical solutions.
  • Excellent collaboration and communication skills across teams.
  • Curiosity and eagerness to explore emerging technologies in AI, LLMs, and Computer Vision.


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