Python AI/ML Developer

About the Company Join a technology-driven organization supporting clients across multiple industries. The organization focuses on building secure, scalable, data-driven, and AI-enabled solutions that improve operational efficiency, customer experience, automation, analytics, and business decision-making. As a Python Developer with AI exposure, you will play a key role in developing backend applications, APIs, data processing solutions, and AI-enabled enterprise applications for cross-industry use cases. This role is ideal for a hands-on developer who can build production-ready Python solutions while contributing to AI/ML model integration, intelligent automation, document processing, analytics, and GenAI-enabled business applications. Job Title: Python Developer with AI/ML Employment Type: Full-Time Work Location: Onsite Experience Required: 5-10 Years Summary Build secure Python and AI-enabled solutions for enterprise use cases. We are looking for an experienced Python Developer with practical AI/ML exposure to support technology initiatives across industries. The ideal candidate should have strong hands-on experience in Python development, backend engineering, REST API development, data processing, and AI/ML model integration. Applicants must have authorization to work in the United States that permits full-time employment for the duration of the position without requiring current or future employer sponsorship. Primary Skills: Python, FastAPI, Flask, Django, REST APIs, Backend Development, AI/ML, Data Processing, Model Integration, Pandas, NumPy, Scikit-learn, SQL, Enterprise Applications Secondary Skills: TensorFlow, PyTorch, LangChain, GenAI, LLMs, Prompt Engineering, Embeddings, Vector Databases, RAG, ETL, Git, CI/CD, Jenkins, Docker, Kubernetes, Cloud Platforms, Secure Coding What You'll Do Develop, enhance, and maintain Python-based applications, APIs, automation scripts, and data processing solutions. Build and integrate RESTful APIs using Python frameworks such as FastAPI, Flask, or Django. Work on AI/ML-enabled solutions including model integration, data pipelines, intelligent automation, and analytics use cases. Support integration of machine learning models or GenAI services into enterprise applications. Develop reusable Python utilities for data extraction, transformation, validation, reporting, and workflow automation. Work with structured and unstructured data from applications, documents, reports, emails, transcripts, and business workflows. Collaborate with data scientists, AI engineers, product owners, business analysts, QA teams, and DevOps teams. Write clean, modular, testable, and secure Python code. Perform debugging, troubleshooting, performance tuning, and production support. Ensure applications follow enterprise standards for security, scalability, reliability, and maintainability. What We're Looking For 5+ years of hands-on experience in Python development. Strong experience with Python, FastAPI, Flask, Django, REST APIs, and backend development. Good understanding of AI/ML concepts, model lifecycle, data preprocessing, and model integration. Hands-on experience with Python libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, LangChain, or similar AI/ML libraries. Experience working with databases such as PostgreSQL, MySQL, Oracle, SQL Server, MongoDB, or similar. Knowledge of data processing, ETL workflows, and API-based system integrations. Experience with Git, CI/CD pipelines, Jenkins, or similar development tools. Strong understanding of object-oriented programming, design patterns, clean coding, and unit testing. Knowledge of application security, authentication, authorization, and secure coding practices. Experience working in Agile/Scrum development environments. Ability to work with unstructured data such as PDFs, documents, emails, transcripts, reports, or operational records. Ability to work across business domains and translate use cases into scalable Python and AI-enabled solutions. Preferred Skills & Certifications Experience integrating AI/ML models into production applications. Exposure to GenAI, LLMs, prompt engineering, embeddings, vector databases, or RAG-based applications. Understanding of AI use cases such as document intelligence, customer analytics, recommendation engines, forecasting, process automation, and operational insights. Experience with cloud platforms such as AWS, Azure, or GCP. Knowledge of Docker, Kubernetes, or containerized application deployment. Exposure to Kafka, RabbitMQ, or other messaging systems. Experience with vector databases such as Pinecone, FAISS, Chroma, Weaviate, or similar. Familiarity with MLOps, model deployment, monitoring, and versioning tools. Experience building enterprise-grade AI or automation solutions in production environments. Education Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, Artificial Intelligence, Machine Learning, or a related field. Equivalent professional experience will also be considered. Equal Opportunity Statement Cogent Infotech is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment where everyone feels welcome and valued. We encourage applications from individuals of all backgrounds, identities, abilities, and experiences. If you are excited about this role but do not meet every requirement, we still encourage you to apply. Join Us At Cogent Infotech, your ideas matter. Join a purpose-driven organization that celebrates diversity, encourages collaboration, and invests in your future. Cogent Infotech Corp