Full Stack Developer with AI/ML Expertise

3 days ago

Dombivli, Maharashtra, India Eigenlytics Data Solutions Full time ₹ 5,00,000 - ₹ 12,00,000 per year

Location:
Onsite

Employment Type:
Full-time

Experience:
2+ years

Job Summary:

We are seeking a skilled and enthusiastic
Full Stack Developer
with hands-on experience in
AI/ML technologies
to join our engineering team. The ideal candidate should be proficient in both front-end and back-end development, and capable of designing, developing, and deploying AI-driven web applications.

This role requires a blend of software engineering expertise and practical experience in building or integrating AI/ML models into scalable applications.

Key Responsibilities:

  • Design, develop, test, and maintain full-stack web applications.
  • Collaborate with data scientists and ML engineers to integrate machine learning models into production environments.
  • Build RESTful APIs or GraphQL services to expose AI capabilities.
  • Develop intuitive front-end interfaces to visualize AI/ML results and data analytics.
  • Optimize performance of applications, focusing on scalability, reliability, and security.
  • Implement CI/CD pipelines and deployment processes using modern DevOps tools.
  • Maintain documentation and ensure best practices in coding, testing, and deployment.

Required Skills & Qualifications:

Full Stack Development:

  • Strong knowledge of
    JavaScript/TypeScript
    , with frameworks like
    React
    ,
    Angular
    , or

    .
  • Backend experience using

    ,
    Python (Flask/Django/FastAPI)
    ,
    Java
    , or
    .NET
    .
  • Experience with
    databases
    : SQL (PostgreSQL/MySQL) and NoSQL (MongoDB, Firebase, etc.).
  • Knowledge of API development (RESTful & GraphQL).
  • Version control using
    Git
    .

AI/ML:

  • Experience with
    Python
    ML libraries:
    scikit-learn
    ,
    TensorFlow
    ,
    Keras
    ,
    PyTorch
    , or
    Hugging Face Transformers
    .
  • Familiarity with
    model training
    ,
    fine-tuning
    , and
    inference pipelines
    .
  • Understanding of ML lifecycle (data processing, training, evaluation, and deployment).
  • Exposure to tools like
    MLflow
    ,
    Kubeflow
    , or
    TensorBoard
    is a plus.

DevOps & Deployment:

  • Experience with
    Docker
    ,
    Kubernetes
    , or serverless functions.
  • Familiarity with cloud platforms like
    AWS
    ,
    GCP
    , or
    Azure
    for deploying AI solutions.

Preferred Qualifications:

  • Bachelor's or Master's in Computer Science, Data Science, or a related field.
  • Prior experience working on
    AI-driven products
    , such as recommendation systems, chatbots, or predictive analytics tools.
  • Understanding of
    MLOps
    and AI model monitoring in production.
  • Knowledge of
    LLMs (Large Language Models)
    or
    generative AI tools
    is a strong plus.

Soft Skills:

  • Strong analytical and problem-solving skills.
  • Excellent communication and teamwork.
  • Ability to manage multiple tasks and meet deadlines.

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