Python AI/ML Developer

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.

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.

Required Technical Skills

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

Qualifications

• B.E. / B.Tech / M.Tech / MCA in Computer Science, IT, or a related field

• 2–3 years of hands-on experience in Python development with at least 1 year focused on AI/ML projects

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

• Friendly Work Environment
• Maintain Work-life Balance
• Company Sponsored Medical Insurance
• 5 days working & Flexible timings
• Frequent team outings
• Yearly Leave Encashment

Location: Ahmedabad

Reporting to: Team Lead