Software Engineer – Python

Job Description:
We are looking for an experienced Python Full stack developer to join our engineering team and help us create dynamic software applications for our clients. In this role, you will be responsible for writing and testing scalable code, developing back-end components, and integrating user-facing elements in collaboration with front-end developers. To be successful as a Python developer, you should possess in-depth knowledge of object-relational mapping, experience with server-side logic, and above-average knowledge of Python programming & Who can design highly responsive web-applications that perfectly meet the needs of the client.

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.
Requirements:
Bachelor's or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
Proven experience as an AI/ML Developer or similar role.
Strong programming skills in Python.
Expertise in machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
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.
Preferred Qualifications:
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