Software Engineer - Python Programming (5-7 yrs)

Number of Vacancies : 2.

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 Masters degree in Computer Science, Data Science, Machine Learning, or a related field.

- Proven experience as a 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 LlamaIndex.

- 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.