Matplotlib Jobs in Ahmedabad

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.

Job Title: Data Science Intern AI/ML Location: Ahmedabad, Gujarat Type: Internship About the Role We re looking for a curious and motivated AI/ML Intern to join our Data Science team. This internship offers a fantastic opportunity to gain hands-on experience working on real-world machine learning and AI projects. You ll collaborate with experienced data scientists and engineers, apply algorithms to solve practical problems, and contribute to innovative research and development efforts. Key Responsibilities Assist in building, training, and evaluating machine learning models using Python. Support AI/ML research, experimentation, and proof-of-concept development. Perform data collection, cleaning, exploration, and visualization. Apply statistical methods and ML algorithms to solve analytical challenges. Document experiments, models, and processes clearly and thoroughly. Work closely with cross-functional teams including engineering and product. Proficiency in Python and libraries like scikit-learn, pandas, NumPy. Basic understanding of machine learning concepts, statistics, and data modeling. Experience with academic, personal, or internship-based AI/ML projects. Familiarity with tools such as TensorFlow, scikit-learn, or Azure ML. Eagerness to learn and apply new techniques. Strong analytical thinking and communication skills. Bonus Skills (Preferred but not required) Experience with Jupyter Notebooks, Google Colab, or cloud-based ML tools. Knowledge of deep learning frameworks (TensorFlow, Keras, PyTorch). Exposure to Azure Machine Learning, MLflow, or MLOps. Understanding of data pipelines and basic SQL. Work on cutting-edge AI/ML projects with real-world impact. Learn directly from seasoned data science professionals. Be part of a collaborative and growth-oriented environment. Potential pathway to full-time employment based on performance.

Data Scientist Roles and Responsibilities: Data Mining & Extraction: Extract valuable, usable data from various data sources to support business objectives and analytic systems development. Machine Learning & Model Optimization: Utilize machine learning techniques to select relevant features, build, and optimize classifiers for data analysis. Data Preprocessing & Cleansing: Perform preprocessing tasks on both structured and unstructured data to prepare it for in-depth analysis, ensuring its quality and accuracy. Enhancing Data Collection: Improve data collection procedures to capture all necessary information, enabling the development of robust analytic systems. Data Validation & Integrity: Cleanse and validate data to ensure its integrity, making it suitable for analysis and predictive modeling. Pattern Analysis & Solution Development: Analyze large datasets to identify patterns and develop insights, helping to solve complex business problems. Prediction & Algorithm Development: Design and develop predictive systems and machine learning algorithms to deliver actionable insights and support decision-making. Result Presentation: Communicate findings and insights clearly to both technical and non-technical stakeholders, ensuring understanding and adoption. Solution Proposal & Strategy Development: Propose innovative solutions and strategies to tackle business challenges, driving data-driven decisions. Collaboration with Teams: Work closely with Business and IT teams to align data science initiatives with organizational goals and ensure seamless integration with existing systems. Requirements: Educational Background: Bachelor s or Master s degree in Computer Science, Engineering, or a related field. Experience & Leadership: Proven experience leading data architecture projects and teams, with a strong track record of delivering data-driven solutions. Communication & Collaboration Skills: Excellent communication, collaboration, and interpersonal skills, with the ability to effectively convey technical concepts to various audiences. Adaptability: Ability to thrive in a fast-paced, dynamic environment, managing multiple priorities and deadlines effectively. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field.

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.

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.

Description We are looking for software engineers to join our engineering team in Ahmedabad. The primary responsibility will be to help design and develop Enterprise Software for our Global Fortune 500 clients in Data Analytics, Security and Cloud segments. The job requires expertise on Core & Advanced Python with experience in developing REST API using any framework. Responsibilities Achieves organization goals by defining, integrating, and upgrading a comprehensive architecture to support Java applications. Responsible for providing expertise in software development life cycle, from concept, architecture, design, implementation, & testing. Leading & mentoring small sized team. Ensuring the code reviews & development best practices / processes to be followed. Be part of regular client communication. Estimates efforts, identify risks & provide technical support whenever needed. Ensures effective people management (performance reviews & feedback at very minimal level) & task management for smooth execution. Demonstrates ability to multitask & re-prioritize responsibilities based on dynamic requirements. Requirements 2+ years of experience in software architecture, system design and development Extensive software development experience in Python Experience in developing RESTful Web services using any framework Strong Computer Science fundamentals in Object-Oriented Design and Data Structures Experience with Linux programming, or expertise in the areas of Big Data, Networking, Storage, or Virtualization is a big plus Experience with working on Agile Software development methodology Excellent oral and written communication skills, problem-solving and analytical skills Must be able to succeed with minimal resources and supervision Minimum qualification of BE in Computer Science or equivalent Qualification : Minimum qualification of BE in Computer Science or equivalent

Description This is a full-time on-site role for a Python Developer at Samcom Technobrains Pvt. Ltd. in Ahmedabad. The Python Developer will be responsible for back-end web development, software development, object-oriented programming (OOP), programming, and databases. Day-to-day tasks include coding, testing, debugging, and collaborating with cross-functional teams. Experience 2+ years experience required Fluent in English Communication AL/ML experience preferred Looking for an Immediate Joiner Responsibilities Strong experience in back-end web development and software development Proficiency in object-oriented programming (OOP) and programming languages Knowledge of databases and data modeling Experience with Python frameworks such as Django or Flask Familiarity with version control systems (e.g., Git) Ability to collaborate effectively with cross-functional teams Excellent problem-solving and analytical skills Strong communication and interpersonal skills AI / ML experience preferred Job Benefits 5 Days Working 24 Paid Leaves* Referral Bonus Policy Annual Trip Training & Career Development programs Rewards & Recognition Fun Loving Culture One to One Mentorship

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.