Fastapi Jobs in Ahmedabad

Job Title: Python Developer (ERP & API Integration) Experience: 2 4 Years Location: Rajkot, Gujarat Vacancies: 2 Job Type: Full-Time Job Overview: We are hiring experienced Python Developers with 2 4 years of hands-on experience to contribute to the development and enhancement of our ERP platform. This role involves working with Python, APIs, and basic SQL operations, as well as applying object-oriented programming (OOP) principles to build scalable, maintainable solutions. Key Responsibilities: Develop Python-based modules and applications to enhance and extend ERP platform features. Perform basic SQL operations including data retrieval, insertion, and manipulation. Support and contribute to API integrations between internal systems and third-party services. Write modular, reusable, and maintainable code using OOP best practices. Participate in debugging, troubleshooting, and resolving software issues. Collaborate closely with cross-functional teams and maintain clear technical documentation. Eligibility & Requirements: 2 to 4 years of experience as a Python Developer. Solid understanding of Python programming, object-oriented principles, and clean coding practices. Familiarity with basic SQL operations and database interactions. Experience or exposure to API development and integration. Strong team collaboration and communication skills. Desirable Skills: Experience with ERP systems or enterprise software development. Familiarity with tools like Postman, Git, or JIRA. Knowledge of frameworks like Flask, Django, or FastAPI is a plus. Understanding of RESTful web services and backend architecture. Personal Attributes: Analytical thinker with attention to detail. Positive, self-motivated, and eager to learn. Ability to work both independently and as part of a collaborative team. Commitment to timely delivery and continuous improvement. Be part of a growing, tech-forward team in Rajkot. Work on challenging ERP and automation projects. Opportunity to grow your Python expertise in a collaborative environment.

Responsibilities Develop and maintain web applications using FastAPI, ensuring high performance and responsiveness to requests from the front-end. Design and implement database models and perform validation using Pydantic models. Work with SQLAlchemy for ORM tasks, managing both relational and non-relational databases. Perform asynchronous and synchronous database operations on MySQL, MongoDB, PostgreSQL, and TimescaleDB. Write and execute tests using pytest to ensure the reliability and quality of the codebase. Implement security features, including Google OAuth2, JWT, and API keys, to protect applications and user data. Manage and orchestrate background processes to handle various tasks and improve application efficiency. Utilize MQTT for messaging and communication between services. Collaborate with cross-functional teams to define, design, and ship new features. Troubleshoot and resolve issues related to application performance, reliability, and security. Maintain code quality, organization, and automation. Requirements Bachelor s degree in Computer Science, Engineering, or a related field. 5+ years of professional experience in Python development. Proven experience with FastAPI (or Flask, with a willingness to learn FastAPI). Strong knowledge of Pydantic for request and database model validation. Extensive experience with SQLAlchemy and ORM. Proficient in performing async & sync database operations. Hands-on experience with MySQL, MongoDB, PostgreSQL, and TimescaleDB. Expertise in QA/testing with pytest. Strong understanding of security protocols including Google OAuth2, JWT, and API keys. Experience in managing background processes. Familiarity with MQTT for messaging. Qualification : Bachelors degree in Computer Science, Engineering, or a related field.

Job Title: Sr. Python / AI-ML Developer Location: Ahmedabad Experience: 3+ Years Qualification: Graduate in any discipline About Us: At Bytes Technolab, we strive to foster innovation through a robust digital infrastructure and a dynamic work environment. Our goal has always been to empower our developers with cutting-edge tools and technologies, enabling them to deliver world-class software solutions to startups, enterprises, and everything in between. We are looking for a highly skilled and driven Sr. Python / AI-ML Developer to join our expanding AI/ML team. If you're passionate about solving complex problems with intelligent solutions, we d love to hear from you. Key Responsibilities: Develop, train, and optimize machine learning and deep learning models using Python and its ML/AI ecosystem (NumPy, Pandas, scikit-learn, etc.). Work with leading ML/AI frameworks such as PyTorch, TensorFlow, Keras, OpenCV, and FaceNet. Leverage GPU acceleration (CUDA, cuDNN) for deep learning development and optimization. Design and implement solutions in computer vision, natural language processing (NLP), and neural networks. Work with large language models (LLMs) like GPT, BERT, and LLaMA, including tasks such as fine-tuning, embedding-based retrieval (RAG), and prompt engineering. Develop agentic AI systems using frameworks like LangChain, AutoGPT, BabyAGI, and custom orchestration pipelines. Translate complex business requirements into scalable AI/ML solutions. Deploy models on cloud platforms (AWS SageMaker, Azure ML, or Google AI Platform). Build and manage robust ETL pipelines, handle data preprocessing, and perform feature engineering. Implement MLOps workflows using tools such as MLflow, Kubeflow, or TensorFlow Extended (TFX). Containerize and orchestrate scalable deployments using Docker and Kubernetes. Manage model evaluation, A/B testing, continuous training pipelines, and CI/CD for ML systems. Work closely in Agile/Scrum teams and contribute to collaborative solution design. Ensure AI solutions adhere to ethical principles, and are fair, interpretable, and secure. Required Skills & Qualifications: 3+ years of professional experience in AI/ML model development and deployment. Expertise in Python and relevant libraries for AI/ML and data science. Strong grasp of neural networks, computer vision, and NLP fundamentals. Experience working with LLMs and agent-based architectures. Proficiency in cloud-based ML deployment and automation. Solid experience with containerization (Docker) and orchestration (Kubernetes). Strong problem-solving and analytical skills. Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders. Familiarity with data versioning (DVC, Delta Lake) and continuous model delivery. Understanding of responsible AI practices including fairness and bias mitigation. Work on cutting-edge technologies in a high-growth, collaborative environment. Opportunity to lead AI/ML projects from ideation to production. Exposure to real-world applications of LLMs, MLOps, and agentic systems. Learn and grow with a passionate team of engineers, innovators, and thinkers.

Experience 7+ years (minimum 3 years as a Team lead) Notice Period 1 month Responsibilities Leadership & Team Management: Lead, mentor, and guide a team of developers in both frontend and backend technologies. Project Architecture Design: Collaborate with cross-functional teams to design and architect end-to-end project solutions, focusing on scalability, security, and performance. Database Architecture: Design and implement highly efficient, reliable, and scalable database systems using PostgreSQL and MongoDB. AWS Expertise: Leverage AWS services (such as EC2, S3, Lambda, RDS, etc.) for cloud-based application solutions and infrastructure management. Serverless & Lambda: Utilize serverless architecture and AWS Lambda for building scalable and cost-efficient applications. Client Interaction: Serve as the point of contact for client communications, translating business requirements into technical solutions and ensuring customer satisfaction. Collaboration: Work closely with other developers, architects, and stakeholders to ensure that the technical vision and strategy are well-executed. Continuous Improvement: Keep up-to-date with emerging technologies and best practices, applying them to improve team efficiency and product quality. Skills & Qualifications Experience: Minimum 8 years of hands-on experience in Python, with expertise in building full-stack web applications. Backend Development: Strong Python expertise (Django, Flask, FastAPI, or similar frameworks). Frontend Development: Experience with JavaScript, HTML/CSS, and frontend frameworks (React, Angular, or Vue.js) and Node.JS is a plus. Cloud Infrastructure: Proficient in using AWS services such as Lambda, S3, EC2, RDS, etc. Database Management: Strong experience with PostgreSQL and MongoDB; ability to design scalable and efficient database architectures. Serverless Architecture: Experience with designing and implementing serverless applications using AWS Lambda and other serverless components. Utilize AWS services including EC2, S3, Lambda, API Gateway, RDS, DynamoDB, and others to build cloud-based solutions. Team Leadership: Proven experience managing and guiding a team of developers, ensuring project deadlines and client requirements are met.

Job Title: AI/ML Developer Experience: 2-3 Years Positions: 2 Location: Rajkot, Gujarat Job Type: Full-Time Job Overview: We are looking for skilled and motivated AI/ML Developers with 2-3 years of experience to join our innovative team in Rajkot. The ideal candidates will have a strong background in building AI and machine learning solutions, leveraging deep learning, natural language processing, and generative AI technologies to drive business value and product excellence. Key Responsibilities: Develop and deploy AI/ML models using programming languages like Python, C++, R, or Scala. Build and optimize machine learning and deep learning models using frameworks such as TensorFlow, PyTorch, scikit-learn, Spark MLlib, OpenCV, nltk, transformers, and LangChain. Apply deep learning, computer vision, NLP, and generative AI techniques to solve complex problems. Work with Large Language Models (LLMs) including training on custom datasets and integrating third-party APIs like OpenAI API. Perform data preprocessing, feature engineering, exploratory data analysis (EDA), model selection, hyperparameter tuning, and model evaluation. Analyze and visualize data, creating dashboards and visual aids to support decision-making. Utilize SQL and NoSQL databases such as MySQL, PostgreSQL, and MongoDB for data storage and retrieval. Collaborate with cross-functional teams in an Agile environment and adopt DevOps practices for continuous integration and deployment. Stay updated with emerging AI/ML trends and technologies, implementing them into products and services. Communicate technical concepts effectively to stakeholders. Participate in designing scalable AI/ML solutions and contribute to the overall architecture. Bonus skills: Experience with Python web frameworks (Django, Flask, FastAPI), ML Ops, and cloud platforms. Qualifications: Bachelor s or Master s degree in Computer Science, Data Science, Statistics, Mathematics, or related fields. Minimum 2 years of professional experience in AI/ML development. Strong programming skills in Python, C++, R, or Scala. Hands-on experience with machine learning libraries and frameworks. Solid understanding of machine learning algorithms: supervised, unsupervised, and reinforcement learning. Knowledge of LLMs, generative AI models, and integration of AI APIs. Experience in data preprocessing, feature engineering, model tuning, and evaluation. Good grasp of SQL and NoSQL databases. Strong analytical, problem-solving, and communication skills. Experience with Agile methodologies and DevOps is a plus. Personal Attributes: Eager learner with a passion for AI/ML innovations. Proactive, self-motivated, and able to work independently or as part of a team. Excellent collaboration and stakeholder management skills. Opportunity to work on cutting-edge AI/ML projects. Collaborative work environment in Rajkot fostering innovation. Continuous learning and professional growth opportunities. Apply now to be part of our AI-driven future and contribute to building intelligent solutions that make an impact! Qualification : Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or related fields.

Position: AI/ML Python Developer Job Overview: We are seeking an experienced AI/ML Python Developer to join our dynamic team. In this role, you will leverage cutting-edge technologies to build and deploy machine learning models, contribute to innovative projects, and work with large language models (LLMs) and retrieval-augmented generation (RAG) systems. Key Responsibilities: Develop and optimize machine learning models using Python, ensuring high performance and accuracy. Utilize frameworks like TensorFlow and PyTorch for model training, evaluation, and deployment. Process and analyze data using tools such as scikit-learn, NumPy, and pandas to build robust data pipelines. Implement natural language processing techniques, including text preprocessing, tokenization, and embeddings. Work with large language models such as GPT, BERT, T5, and LLaMA, including fine-tuning and prompt engineering. Build and manage RAG pipelines with vector databases such as FAISS, Pinecone, or Chroma. Develop multi-agent systems using frameworks like LangChain, LangGraph, or CrewAI. Design and implement APIs for seamless model deployment using FastAPI, Flask, or Django. Collaborate effectively using Git/GitHub for version control and to ensure efficient team workflows. Contribute to the development, training, and deployment of models using Hugging Face tools. Work with both SQL and NoSQL databases to handle and preprocess large datasets. Required Skills & Experience: Proficiency in Python, especially for AI/ML model development. Experience with machine learning and deep learning frameworks, particularly TensorFlow and PyTorch. Strong understanding of data science concepts and tools like scikit-learn, NumPy, and pandas. Expertise in Natural Language Processing (NLP) techniques, including text preprocessing and embeddings. Familiarity with transformer models such as GPT, BERT, T5, and LLaMA, along with fine-tuning and prompt engineering. Experience with Retrieval-Augmented Generation (RAG) and vector databases like FAISS, Pinecone, or Chroma. Knowledge of multi-agent systems and frameworks such as LangChain, LangGraph, or CrewAI. Strong skills in API development using FastAPI, Flask, or Django. Solid understanding of version control using Git/GitHub. Hands-on experience with Hugging Face for model training and deployment. Location: Ahmedabad, Gujarat, India (Ognaj, eInfochips) Employment Type: Full-time Job Category: Engineering Services

Job Title: AI/ML Developer Experience: 2-3 Years Positions Available: 02 Qualification: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Key Responsibilities: Develop and deploy AI/ML solutions, leveraging expertise in machine learning, deep learning, and generative AI. Design, implement, and optimize models using popular libraries like TensorFlow, PyTorch, scikit-learn, and others. Apply deep learning, computer vision, NLP, and reinforcement learning techniques to real-world problems. Work with Large Language Models (LLMs), including training custom models and integrating third-party LLM APIs like OpenAI. Conduct data preprocessing, feature engineering, exploratory data analysis (EDA), and model tuning to ensure high-quality results. Analyze complex data sets, create visualizations, and leverage statistical techniques to guide decision-making. Collaborate effectively with cross-functional teams and stakeholders to ensure successful project delivery. Continuously stay up-to-date with emerging technologies, implementing them to enhance products and services. Contribute to an Agile development environment with familiarity in DevOps practices for CI/CD. Skills & Qualifications: Experience: At least 2 years of hands-on experience in AI/ML development with a proven track record of successful project delivery. Technical Skills: Proficiency in Python, C++, R, or Scala. Strong foundation in machine learning and deep learning concepts. Familiarity with frameworks such as TensorFlow, PyTorch, OpenCV, and others. Experience in working with SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB). Familiar with API frameworks like Django, Flask, and FastAPI (a plus). Key Areas of Expertise: Data preprocessing, feature engineering, model evaluation, and optimization. Experience with LLMs and integrations with third-party APIs like OpenAI. Ability to work with cloud platforms and ML Ops is a plus. Personal Attributes: Strong analytical and problem-solving abilities. Excellent communication and collaboration skills. Proactive, self-motivated, and eager to learn new technologies. Comfortable working both independently and as part of a team. Additional Pluses: Familiarity with Agile methodologies and DevOps practices. Knowledge in data visualization tools and techniques is an advantage. Qualification : Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.

Primary Skills: Python, Django, FastAPI, REST, AWS. Key Responsibilities: Design, develop, and maintain web applications using Python and the Django framework. Implement RESTful APIs and integrate them with front-end components. Utilize Flask/FastAPI for specific projects or microservices as needed. Write efficient, reusable, and testable code. Collaborate with front-end developers, designers, and other stakeholders to create seamless user experiences. Optimize applications for maximum speed and scalability. Troubleshoot and debug applications to ensure optimal performance. Deploy and manage applications on AWS, leveraging its services for scalability and performance. Stay updated with the latest industry trends and technologies to continuously improve skills and enhance the development process. Preferred Skills: Excellent problem-solving skills and attention to detail. Strong communication and collaboration abilities. Ability to work independently and manage multiple tasks effectively. Experience with additional frameworks and libraries (e.g., FastAPI, Pyramid). Experience in Cloud services. Familiarity with containerization technologies like Docker.

Minimum of 3 years of experience in AI-based application development and able to creat Python APIs. Design, develop, and implement generative AI models using state-of-the-art techniques. Fine-tune pre-existing models to improve performance and accuracy. Develop and implement generative AI models with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. Architect and develop advanced generative AI solutions leveraging state-of-the-art language models (LLMs) such as GPT, LLaMA, PaLM, BLOOM, and others. Implement frameworks like LangChain, Anthropics Constitutional AI, OpenAIs Whisper, Hugging Face, TensorFlow, PyTorch, and Prompt Engineering techniques to build robust and scalable AI applications. Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques. Test and validate AI models to ensure they meet quality standards and fulfill business objectives. Develop and maintain APIs using Python's FastAPI, Flask, or Django for integrating AI capabilities into various systems. Design and implement machine learning models, including supervised, unsupervised, and reinforcement learning techniques. Explore and implement cutting-edge techniques like Few-Shot Learning, Reinforcement Learning, Multi-Task Learning, and Transfer Learning for AI model training and fine-tuning. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Optimize AI models for performance, efficiency, and scalability, ensuring seamless integration with cloud platforms like AWS, Google Cloud, or Azure. Develop and maintain AI-based applications and systems for industries such as Healthcare, Real Estate, and Fintech. Ensure the scalability, reliability, and performance of AI-based applications and systems. Stay updated with the latest advancements in AI and Machine Learning technologies and integrate innovative approaches for sustained competitive advantage. Expertise in Python programming and frameworks like FastAPI, Django etc Experience with TensorFlow, Keras, PyTorch, and other deep learning frameworks. Strong understanding and experience with open-source multimodal LLM models like OpenAI API, Gemini, VertexAI, Function calling, Open CV to customize and create solutions. Experience with cloud-based AI services such as AWS, Azure, or Google Cloud Platform. Knowledge of LangChain, Anthropics Constitutional AI, and Prompt Engineering techniques. Experience with Few-Shot Learning, Reinforcement Learning, Multi-Task Learning, and Transfer Learning. A proven track record of delivering impactful AI-driven solutions. The ideal candidate will possess a strong technical and problem-solving mindset, capable of translating business requirements into technical solutions.

Minimum of (1+) years of experience in AI-based application development. Fine-tune pre-existing models to improve performance and accuracy. Experience with TensorFlow or PyTorch, and other deep learning architectures (CNNS, RNNS, GANs, etc.) and familiarity with APIs like OpenAI or vertex AI Design and implement machine learning models, including supervised, unsupervised, and reinforcement learning techniques. Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques. Test and validate AI models to ensure they meet quality standards and fulfill business objectives. Proficiency in Python with the ability to get hands-on with coding at a deep level. Ability to write optimized and high-performing scripts on relational databases (e.g., MySQL, PostgreSQL) or non-relational database (e.g., MongoDB or Cassandra) Develop and maintain APIs using Python's FastAPI, Flask, or Django for integrating AI capabilities into various systems. Enthusiasm for continuous learning and professional developement in AI and leated technologies. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Knowledge of cloud services like AWS, Google Cloud, or Azure. Proficiency with version control systems, especially Git. Experience with deploying models using Docker, Kubernetes Experience with AWS Bedrock, and Sagemaker is a plus Strong problem-solving skills with the ability to translate complex business problems into Al solutions.

Minimum of (1+) years of experience in AI-based application development. Fine-tune pre-existing models to improve performance and accuracy. Experience with TensorFlow or PyTorch, Scikit-learn, or similar ML frameworks and familiarity with APIs like OpenAI or vertex AI Experience with NLP tools and libraries (e.g., NLTK, SpaCy, GPT, BERT). Implement frameworks like LangChain, Anthropics Constitutional AI, OpenAIs, Hugging Face, and Prompt Engineering techniques to build robust and scalable AI applications. Evaluate and analyze RAG solution and Utilise the best-in-class LLM to define customer experience solutions (Fine tune Large Language models (LLM)). Architect and develop advanced generative AI solutions leveraging state-of-the-art language models (LLMs) such as GPT, LLaMA, PaLM, BLOOM, and others. Strong understanding and experience with open-source multimodal LLM models to customize and create solutions. Explore and implement cutting-edge techniques like Few-Shot Learning, Reinforcement Learning, Multi-Task Learning, and Transfer Learning for AI model training and fine-tuning. Proficiency in data preprocessing, feature engineering, and data visualization using tools like Pandas, NumPy, and Matplotlib. Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques. Proficiency in Python with the ability to get hands-on with coding at a deep level. Develop and maintain APIs using Python's FastAPI, Flask, or Django for integrating AI capabilities into various systems. Ability to write optimized and high-performing scripts on relational databases (e.g., MySQL, PostgreSQL) or non-relational database (e.g., MongoDB or Cassandra) Enthusiasm for continuous learning and professional developement in AI and leated technologies. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Knowledge of cloud services like AWS, Google Cloud, or Azure. Proficiency with version control systems, especially Git. Familiarity with data pre-processing techniques and pipeline development for Al model training. Experience with deploying models using Docker, Kubernetes Experience with AWS Bedrock, and Sagemaker is a plus Strong problem-solving skills with the ability to translate complex business problems into Al solutions.