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.
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Design, develop, and deploy Python-based AI/ML solutions based on client-specific requirements.
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Collaborate with business analysts and client stakeholders to understand problem statements and translate them into ML solutions.
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Build and fine-tune machine learning models (supervised, unsupervised, and deep learning) for varied use cases.
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Develop and maintain data pipelines for data ingestion, preprocessing, and feature engineering.
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Integrate AI/ML models into REST APIs or existing client applications.
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Perform model evaluation, optimization, and monitoring in production environments.
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Work with structured and unstructured data including text, images, and tabular datasets.
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Document solutions, write clean reusable code, and participate in code reviews.
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Stay updated with the latest AI/ML research and tools, and evaluate their applicability to client projects.
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Strong proficiency in Python (OOP, data structures, exception handling)
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Experience with libraries: NumPy, Pandas, Matplotlib, Seaborn
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REST API development using FastAPI / Flask / Django REST Framework
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Version control with Git/GitHub/GitLab
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Hands-on experience with Scikit-learn — classification, regression, clustering, pipelines
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Understanding of ML concepts: cross-validation, hyperparameter tuning, feature engineering, model evaluation metrics
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Familiarity with AutoML tools like H2O.ai or AutoSklearn (good to have)
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Working knowledge of TensorFlow or PyTorch
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Experience building models for tasks like image classification, NLP, time-series forecasting
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Experience with spaCy, NLTK, or Transformers (HuggingFace)
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Familiarity with LLM concepts — prompt engineering, fine-tuning, RAG (Retrieval-Augmented Generation)
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Exposure to OpenAI API / Azure OpenAI / Gemini API is a strong plus
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SQL proficiency (PostgreSQL / MySQL)
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Basic knowledge of NoSQL (MongoDB, Redis)
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Familiarity with vector databases like Pinecone, ChromaDB, or Weaviate (for GenAI projects)
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Model tracking with MLflow or Weights & Biases (W&B)
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Containerization using Docker
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Basic CI/CD pipeline awareness
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Cloud exposure: AWS (SageMaker, S3, Lambda) / Azure ML / GCP Vertex AI — at least one platform
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Matplotlib, Seaborn, Plotly
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Exposure to Power BI or Tableau is a plus
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Experience with LangChain or LlamaIndex for LLM application development
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Knowledge of computer vision libraries like OpenCV
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Familiarity with Airflow or similar workflow orchestration tools
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Exposure to Agile/Scrum delivery methodology
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Experience working in a client-facing IT services environment
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Strong analytical and problem-solving mindset
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Ability to work on multiple concurrent client projects with shifting priorities
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Good communication skills — ability to understand and clarify client requirements
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Self-motivated with a willingness to learn new tools based on project demands
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Team player with the ability to work in cross-functional teams
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Exposure to diverse AI/ML use cases across industries (BFSI, healthcare, retail, manufacturing, etc.)
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Opportunity to work with cutting-edge GenAI tools and LLMs
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Structured learning & certification support
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Collaborative and innovation-driven work culture
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Competitive compensation as per industry standards
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5 Days a Week
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Health Insurance
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Flexible Timings
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Open Work Culture
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Workshops & Webinars
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Awards & Recognition
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Festive Celebrations
