Python Developer Contract

Key Responsibilities:

• Machine Learning Development:

1. 1. Design, develop, and implement machine learning models using Python-based frameworks.
   2. Collaborate with data scientists to preprocess data and build predictive algorithms.

2. Software Development:

1. Write clean, efficient, and reusable Python code for ML and non ML applications.
2. Develop APIs to serve machine learning models for production use.

3. Data Processing:

1. Work with structured and unstructured data to build and optimize data pipelines.
2. Perform data preprocessing tasks, including cleaning, feature engineering, and transformation.

4. Model Deployment and Optimization:

1. Integrate ML models with the applications.
2. Optimize models for performance, scalability, and accuracy.

5. Collaboration and Communication:

1. Work closely with cross-functional teams, including data engineers, data scientists, and product managers.
2. Document code, workflows, and processes for team-wide knowledge sharing.

Required Skills:

1. Programming:
   1. Proficient in Python, with experience in libraries like NumPy, Pandas, and scikit-learn.
   2. Familiarity with ML frameworks such as TensorFlow, PyTorch, or Keras.

2. Data Handling:

1. Experience with S L and NoS L databases (e.g., PostgreS L, MongoDB).
2. Knowledge of big data tools such as Hadoop or Spark is a plus.

3. Machine Learning:

1. Understanding of supervised, unsupervised, and reinforcement learning techniques.
2. Familiarity with model evaluation metrics and tuning (e.g., hyperparameter optimization).

4. Deployment:

1. Experience with containerization tools like Docker and orchestration systems like Kubernetes.
2. Familiarity with cloud platforms (AWS, GCP, Azure).

5. Soft Skills:

1. Excellent problem-solving and critical-thinking abilities.
2. Strong communication and teamwork skills.

ualifications:

• Bachelor s or master s degree in computer science, Data Science, or a related field.
• Certifications in Python, machine learning, or cloud technologies are highly desirable.

Preferred ualifications:

• Knowledge of natural language processing (NLP) or computer vision.
• Experience with MLOps practices, including model monitoring, versioning, and lifecycle management.
• Exposure to deep learning frameworks and advanced ML techniques.

Why Join Us

• Competitive Compensation : We offer a highly competitive salary that reflects your experience and expertise, along with performance-based incentives.
• Innovative Culture : Be part of a fast-paced and collaborative environment where your work directly contributes to the success of our product and customer experience.
• Shaping the Future of Healthcare with AI : Exciting opportunity to work with cutting-edge AI-powered healthcare technology that is transforming industry and improving lives.
• Professional Growth : Opportunities for ongoing learning, development, and career progression.
• Work-Life Balance : Flexible working hours and a culture that values both your personal and professional life.