Software Engineer - Python

Responsibilities :

• Design, develop, and deploy machine learning models and algorithms.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Perform data preprocessing, feature engineering, and model training.
• Evaluate and fine-tune models for optimal performance.
• Implement and maintain AI/ML pipelines and frameworks.
• Develop and maintain APIs using frameworks like FastAPI or Django to expose machine learning models as services.
• Integrate machine learning models into existing applications and services.
• Stay up-to-date with the latest advancements in AI/ML technologies and apply them to ongoing projects.
• Ensure scalability, reliability, and maintainability of AI/ML solutions.
• Debug and troubleshoot issues in AI/ML models and systems.
• Document processes, models, and results comprehensively.
• Conduct code reviews and provide mentorship to junior team members.

• Bachelors or masters degree in Computer Science, Data Science, Machine Learning, or a related field.
• Proven experience as an Python or AI/ML Developer or similar role.
• Strong programming skills in Python & Framework(Django/flask & fast API )
• Expertise in machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
• Must have experience with any front end framework of Angular, react or Vue.
• Expertise in frameworks such as Langchain and llama index.
• Solid understanding of statistical analysis, data mining, and data processing techniques.
• Experience with big data technologies like Spark.
• Proficient in SQL and NoSQL databases.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Experience with web frameworks like FastAPI or Django.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork abilities.

• Experience with natural language processing (NLP) and computer vision.
• Knowledge of reinforcement learning and deep learning techniques.
• Experience in deploying models in production environments using tools like Docker and Kubernetes.
• Understanding of DevOps practices and CI/CD pipelines.
• Experience with version control systems such as Git.
• Familiarity with Agile development methodologies
• Development Knowledge (Python Only)
• Programming Language: Python
• Machine Learning Frameworks: TensorFlow, PyTorch, Keras, Scikit-Learn
• Data Processing Tools: Pandas, NumPy, Dask
• Databases: MySQL, PostgreSQL, MongoDB, SQLite
• Cloud Platforms: AWS (SageMaker, S3, EC2), Google Cloud (AI Platform, BigQuery), Azure (Machine Learning Studio)
• Web Frameworks: FastAPI, Django, Flask
• DevOps Tools: Docker, Kubernetes, Jenkins, Travis CI
• Version Control: Git, GitHub, GitLab
• Visualization Tools: Matplotlib, Seaborn, Plotly
• Big Data Technologies: Apache Spark
• NLP Tools: NLTK, SpaCy, BERT
• Computer Vision Tools: OpenCV, TensorFlow Object Detection API