Hiring For Gen AI Developer and ML Ops Engineer

14 hours ago

Bengaluru Chennai Pune, India Techedge Inout Solution Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Dear Candidates,

Hiring for the position GenAI Developer and ML Ops Engineer

Note: 15th Nov-25 will be the virtual interview

Experience:5+ Years of experience

Location: PAN

Notice: Immediate-30days

Job Title:

1.GenAI App Developer / Full Stack Developer / Python Backend Developer / API Developer / Prompt Engineer

Job Overview:

We are seeking a skilled GenAI App Developer (or Full Stack Developer, Python Backend Developer, API Developer, Prompt Engineer) with expertise in API development, backend logic, machine learning, and NLP to contribute to large-scale GenAI applications.

Required Qualifications:

  • Proven experience in API development (e.g., FastAPI, Flask, Django).
  • Strong knowledge of Python, machine learning (PyTorch), and NLP (e.g., spaCy).
  • Expertise in API authentication (OAuth, API keys) and API documentation (Swagger).
  • Experience with task queues (Celery) and multi-agent workflows.
  • Hands-on experience with databases (MySQL, PostgreSQL, BigQuery, NoSQL).
  • Familiarity with caching (Redis, Memcached) and cloud platforms (AWS, Google Cloud, Azure).

Highly Desirable Qualifications:

  • Experience with vector databases (e.g., Pinecone, Weaviate, Cloud-based AI search (Azure AI Search).
  • Knowledge of CI/CD pipelines and containerization (e.g., Docker, Kubernetes).
  • Familiarity with API design tools (e.g., Postman) and rate limiting (Flask-Limiter).

Tools & Technologies:

  • API Frameworks: FastAPI, Flask, Django
  • Machine Learning & NLP: PyTorch, spaCy
  • Task Management: Celery
  • Databases: MySQL, PostgreSQL, BigQuery, MongoDB, Pinecone, Weaviate
  • Caching: Redis, Memcached
  • Cloud Platforms: AWS, Google Cloud, Azure
  • Version Control: Git
  • Security & Monitoring: OAuth, API keys, Python logging module

Job Title:

2.ML OPS/ ML Engineer

Minimum Required Skills:

  • Bachelor's degree in computer science, analytics, mathematics, statistics.
  • Strong experience in Python, SQL, Pyspark.
  • Solid understanding and knowledge of containerization technologies (Docker, Podman, Kubernetes).
  • Proficient in CI/CD pipelines, model monitoring, and MLOps platforms (e.g., AWS SageMaker, Azure ML, MLFlow).
  • Proficiency in cloud platforms, specifically AWS, Azure and GCP.
  • Familiarity with ML frameworks such as TensorFlow, PyTorch, Scikit-learn.
  • Familiarity with batch processing integration for large-scale data pipelines.
  • Experience with serving models using FastAPI, Flask, or similar frameworks for real-time inference.
  • Certifications in AWS, Azure or ML technologies are a plus.
  • Experience with Databricks is highly valued.
  • Strong problem-solving and analytical skills.
  • Ability to work in a team-oriented, collaborative environment.

Interested candidates can share cv

poornima.- via Whatsapp

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