Python AI/ML Developer

We are looking for a highly skilled and motivated Python AI/ML Developer to join our team and contribute to the design, development, and deployment of innovative AI-driven solutions. The ideal candidate should have strong hands-on experience in Python, deep learning, generative AI, RAG, LLMs, and machine learning frameworks, along with practical knowledge of cloud-based AI platforms such as AWS Bedrock. This role involves building scalable AI applications, developing intelligent solutions, working with large datasets, and collaborating with cross-functional teams to transform business requirements into impactful AI solutions.

Key Responsibilities

• Advanced Model Development: Design and implement cutting-edge deep learning models using frameworks like PyTorch and TensorFlow to address specific business challenges.
• AI Agent and Chatbot Development: Create conversational AI agents capable of delivering seamless, human-like interactions, from foundational models to fine-tuning chatbots tailored to client needs.
• Retrieval-Augmented Generation (RAG): Develop and optimize RAG models, enhancing AI’s ability to retrieve and synthesize relevant information for accurate responses.
• Framework Expertise: Leverage LLAMAIndex and LangChain frameworks for building agent-driven applications that interact with large language models (LLMs).
• Data Infrastructure: Expertise in managing and utilizing data lakes, data warehouses (including Snowflake), and Databricks for large-scale data storage and processing.
• Machine Learning Operations (MLOps): Manage the full lifecycle of machine learning projects, from data preprocessing and feature engineering through model training, evaluation, and deployment, with a solid understanding of MLOps practices.
• Data Analysis & Insights: Conduct advanced data analysis to uncover actionable insights and support data-driven strategies across the organization.
• Cross-Functional Collaboration: Partner with cross-departmental stakeholders to align AI initiatives with business needs, developing scalable AI-driven solutions.
• Research & Innovation: Stay at the forefront of AI and deep learning advancements, experimenting with new techniques to improve model performance and enhance business value.
• Reporting & Visualization: Develop and present reports, dashboards, and visualizations to effectively communicate findings to both technical and non-technical audiences.
• Cloud-Based AI Deployment: Utilize AWS Bedrock, including tools like Mistral and Anthropic Claude, to deploy and manage AI models at scale, ensuring optimal performance and reliability.
• Web Framework Integration: Build and deploy AI-powered applications using web frameworks such as Django and Flask, enabling seamless API integration and scalable backend services.

Technical Skills

• Deep Learning & Machine Learning: Extensive hands-on experience with PyTorch, TensorFlow, and scikit-learn, along with large-scale data processing.
• Programming & Data Engineering: Strong programming skills in Python or R, with knowledge of big data technologies such as Hadoop, Spark, and advanced SQL.
• Data Infrastructure: Proficiency in managing and utilising data lakes, data warehouses, and Databricks for large-scale data processing and storage.
• MLOps & Data Handling: Familiar with MLOps and experienced in data handling tools like pandas and dask for efficient data manipulation.
• Cloud Computing: Advanced understanding of cloud platforms, especially AWS, for scalable AI/ML model deployment.
• AWS Bedrock: Expertise in deploying models on AWS Bedrock, with tools such as Mistral and Anthropic Claude.
• AI Frameworks: Skilled in LLAMAIndex and LangChain, with practical experience in agent-based applications.
• Data Visualization: Proficient in visualization tools like Tableau, Power BI for clear data presentation.
• Analytical & Communication Skills: Strong problem-solving abilities with the capability to convey complex technical concepts to diverse audiences.
• Team Collaboration & Leadership: Proven success in collaborative team environments, with experience in mentorship and leading innovative data science projects.

Qualifications

• Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
• Experience: Specializing in deep learning, including extensive experience in PyTorch and TensorFlow.
• Advanced AI Knowledge: Familiarity with reinforcement learning, NLP, and generative models.

Designation: Gen AI Developer

Technology: Python+AIML

Location: Ahmedabad (WFO)