We are seeking a highly skilled and motivated professional to take on a leadership role within our team. The ideal candidate will have extensive experience in Python programming, Machine Learning (ML), and Artificial Intelligence (AI), with a proven ability to design, implement, and lead complex ML projects. You will mentor junior team members, collaborate across departments, and ensure the successful delivery of ML-based solutions that drive business value.

Key Responsibilities: 

1. Technical Leadership
   • Lead the design and implementation of Machine Learning models and pipelines to address complex business challenges.
   • Architect scalable and efficient data processing workflows.
   • Stay abreast of the latest developments in ML technologies and methodologies.
2. Project Management
   • Oversee the end-to-end lifecycle of ML projects, from ideation to deployment and monitoring.
   • Define project scopes, timelines, and deliverables.
   • Collaborate with stakeholders to align project goals with business objectives.
3. Development & Coding
   • Write clean, efficient, and reusable Python code.
   • Develop, test, and optimize machine learning algorithms and models.
   • Use libraries and frameworks such as TensorFlow, PyTorch, Scikit-learn, Pandas, and NumPy.
4. Team Collaboration & Mentorship
   • Mentor junior developers and data scientists, fostering a culture of learning and innovation.
   • Facilitate code reviews and knowledge-sharing
   • Work closely with cross-functional teams, including data engineering, product, and business intelligence.

5. Model Deployment & Maintenance
   • Deploy ML models into production environments, ensuring reliability and scalability.
   • Monitor and update models to maintain performance over time.

Qualifications:

• Bachelor’s or master’s degree in computer science, Data Science, Machine Learning, or a related field.
• 6 – 8 years of hands-on experience in Python and Machine Learning.
• Strong expertise in supervised and unsupervised learning techniques.
• Proficiency in handling large-scale data and working with databases (SQL, NoSQL).
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Familiarity with containerization and orchestration tools like Docker and Kubernetes.
• Excellent communication and leadership skills, with a track record of mentoring teams.

Preferred Qualifications:

• Knowledge of big data technologies like Spark or Hadoop.
• Prior experience in a lead or managerial role.
• Certifications in machine learning, cloud computing, or related areas.

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.