AI/ML

AI/ML cum Python Developer

Key Responsibilities:

• Develop, train, and deploy machine learning models using frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Develop AI agents capable of decision-making and multi-step task execution
• Write efficient and maintainable Python code for data processing, automation, and backend services.
• Design and implement REST APIs or backend services for model integration.
• Handle preprocessing, cleaning, and transformation of large datasets.
• Evaluate model accuracy and performance, and make necessary optimizations.
• Collaborate with cross-functional teams including UI/UX, QA, and product managers.
• Stay updated with the latest trends and advancements in AI/ML.

Key Performance Areas (KPAs):

• Development of AI/ML algorithms and backend services
• AI agent development and performance
• Model evaluation, testing, and optimization
• Seamless deployment and integration of models in production
• Technical documentation and project support
• Research and implementation of emerging AI technologies

Key Performance Indicators (KPIs):

• Accuracy and efficiency of AI models delivered
• Clean, reusable, and well-documented Python code
• Timely delivery of assigned tasks and milestones
• Issue resolution and minimal bugs in production
• Contribution to innovation and internal R&D efforts

Requirements:

• Bachelor’s or Master’s degree in Computer Science, IT, or related field
• Minimum 2 years of experience in Python and machine learning
• Hands-on with AI agent tools like LangChain, AutoGPT, OpenAI APIs, Pinecone, etc.
• Strong foundation in algorithms, data structures, and mathematics
• Experience with Flask, FastAPI, or Django for API development
• Good understanding of model evaluation and optimization techniques
• Familiarity with version control tools like Git
• Strong communication and team collaboration skills

Company Perks

• 05 Days Working
• Familiar Environment
• Flexible Timings
• Global Clients & Amazing Projects
• Leave Encashment
• Health Insurance
• Employee Engagement Activities
• Picnic