Python + AI/ML

We are looking for a skilled Python Developer with hands-on AI/ML experience to join our growing technology team. As an IT services company, you will work across diverse client projects spanning multiple domains — from building intelligent automation pipelines to delivering data-driven solutions tailored to each client`s business needs. You will be expected to quickly adapt to varying tech stacks, understand client requirements, and deliver scalable, production-ready AI/ML solutions.

clients

Job Profile

designation
Software Engineer
yearsOfExperience
Years of Experience: 2-3 Years
education
B.E. / B.Tech / M.Tech / MCA in Computer Science, IT, or a related field
salary
Salary: Not a constraint for the right candidate
location
Location: Ahmedabad
jobType
Job Type: Full-Time

Key Responsibilities

  • Design, develop, and deploy Python-based AI/ML solutions based on client-specific requirements.
  • Collaborate with business analysts and client stakeholders to understand problem statements and translate them into ML solutions.
  • Build and fine-tune machine learning models (supervised, unsupervised, and deep learning) for varied use cases.
  • Develop and maintain data pipelines for data ingestion, preprocessing, and feature engineering.
  • Integrate AI/ML models into REST APIs or existing client applications.
  • Perform model evaluation, optimization, and monitoring in production environments.
  • Work with structured and unstructured data including text, images, and tabular datasets.
  • Document solutions, write clean reusable code, and participate in code reviews.
  • Stay updated with the latest AI/ML research and tools, and evaluate their applicability to client projects.

Programming & Core Python

  • Strong proficiency in Python (OOP, data structures, exception handling)
  • Experience with libraries: NumPy, Pandas, Matplotlib, Seaborn
  • REST API development using FastAPI / Flask / Django REST Framework
  • Version control with Git/GitHub/GitLab

Machine Learning

  • Hands-on experience with Scikit-learn — classification, regression, clustering, pipelines
  • Understanding of ML concepts: cross-validation, hyperparameter tuning, feature engineering, model evaluation metrics
  • Familiarity with AutoML tools like H2O.ai or AutoSklearn (good to have)

Deep Learning & Frameworks

  • Working knowledge of TensorFlow or PyTorch
  • Experience building models for tasks like image classification, NLP, time-series forecasting

Natural Language Processing (NLP)

  • Experience with spaCy, NLTK, or Transformers (HuggingFace)
  • Familiarity with LLM concepts — prompt engineering, fine-tuning, RAG (Retrieval-Augmented Generation)
  • Exposure to OpenAI API / Azure OpenAI / Gemini API is a strong plus

Data & Databases

  • SQL proficiency (PostgreSQL / MySQL)
  • Basic knowledge of NoSQL (MongoDB, Redis)
  • Familiarity with vector databases like Pinecone, ChromaDB, or Weaviate (for GenAI projects)

MLOps & Deployment

  • Model tracking with MLflow or Weights & Biases (W&B)
  • Containerization using Docker
  • Basic CI/CD pipeline awareness
  • Cloud exposure: AWS (SageMaker, S3, Lambda) / Azure ML / GCP Vertex AI — at least one platform

Data Visualization & Reporting

  • Matplotlib, Seaborn, Plotly
  • Exposure to Power BI or Tableau is a plus

Good to Have Skills

  • Experience with LangChain or LlamaIndex for LLM application development
  • Knowledge of computer vision libraries like OpenCV
  • Familiarity with Airflow or similar workflow orchestration tools
  • Exposure to Agile/Scrum delivery methodology
  • Experience working in a client-facing IT services environment

Soft Skills

  • Strong analytical and problem-solving mindset
  • Ability to work on multiple concurrent client projects with shifting priorities
  • Good communication skills — ability to understand and clarify client requirements
  • Self-motivated with a willingness to learn new tools based on project demands
  • Team player with the ability to work in cross-functional teams

What We Offer

  • Exposure to diverse AI/ML use cases across industries (BFSI, healthcare, retail, manufacturing, etc.)
  • Opportunity to work with cutting-edge GenAI tools and LLMs
  • Structured learning & certification support
  • Collaborative and innovation-driven work culture
  • Competitive compensation as per industry standards

Benefits

  • 5 Days a Week
  • Health Insurance
  • Flexible Timings
  • Open Work Culture
  • Workshops & Webinars
  • Awards & Recognition
  • Festive Celebrations

Interested? We’d love to have you.

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