Python AI Lead | ML, Cloud & Data Pipelines

Job Summary Synechron is seeking an experienced Python AI professional to lead the design, development, and deployment of AI-driven solutions. This role focuses on leveraging Python-based AI capabilities to transform business processes, with emphasis on collaboration across business and technical teams, staying current with industry advances, and guiding strategic technology adoption to drive organizational growth.

Software Requirements

Required Skills In-depth understanding of various technologies and software systems

Familiarity with project management tools and methodologies

Knowledge of Agile development methodologies

Understanding of software architecture and design patterns

Knowledge of cloud computing platforms and infrastructure

Knowledge of database management systems and data structures

Preferred Skills Experience with AI and data pipeline ecosystems (good to have)

Experience with enterprise-grade security and compliance considerations

Overall Responsibilities Lead and manage cross-functional technology teams

Provide technical guidance and mentorship to team members

Drive technology initiatives and ensure successful delivery of projects

Identify areas for improvement and implement process changes to increase efficiency

Collaborate with internal stakeholders to translate business requirements into technology solutions

Evaluate new technologies and make recommendations for adoption

Develop and maintain technology roadmaps aligned with overall business strategy

Manage vendor relationships and negotiate contracts

Technical Skills (By Category)

Programming Languages Essential: Python

Preferred: R, Java (for multi-language project needs)

Databases/Data Management Essential: Knowledge of database management systems and data structures

Preferred: Data modeling concepts, data pipelines, ORM concepts

Cloud Technologies Essential: Knowledge of cloud computing platforms and infrastructure

Preferred: Experience with cloud-native services and multi-cloud deployments

Frameworks and Libraries Essential: Knowledge of software architecture and design patterns

Preferred: AI/ML frameworks and libraries (e.g., PyTorch, TensorFlow)

Development Tools and Methodologies Essential: Experience with project management tools and Agile methodologies; version control practices

Preferred: CI/CD tooling, testing frameworks, and automation utilities

Security Protocols Essential: Understanding of security and compliance considerations

Preferred: Encryption, secrets management, and governance practices

Experience Requirements Years of Experience: 5–9 years

Domain Experience: Technology leadership and software development with AI focus

Industry Experience Preferences: Experience in enterprise environments and cross-functional collaboration

Alternative Experience Pathways: Significant hands-on AI/ML leadership and delivery experience

Day-to-Day Activities Collaborate with stakeholders to define AI project scope and success metrics

Lead development, training, and deployment of Python-based AI solutions

Mentor and guide engineers on AI best practices and project execution

Evaluate new AI tools and techniques and recommend improvements

Develop and maintain technology roadmaps and architectural guidelines

Document processes and share knowledge across teams

Manage timelines, risks, and dependencies; support governance and compliance

Qualifications

• Educational Requirements: Bachelor's or Master’s degree in Computer Science, Information Technology, or a related field

• Certifications: AI/ML or cloud AI certifications are advantageous

• Training: Ongoing professional development in AI technologies and best practices

• Equivalency: Relevant hands-on experience may be considered in place of formal degrees

• Soft Skills Excellent verbal and written communication

• Ability to work in a fast-paced environment

• Strong customer-focused approach

• Team-oriented with the ability to work independently

• Positive attitude and strong work ethic

• Flexibility and adaptability in a changing environment

• Professional Competencies Critical thinking and problem-solving

• Leadership and teamwork (mentoring and guiding peers)

• Communication and stakeholder management

• Adaptability and learning orientation

• Innovation mindset

• Time and priority management

• S​ YNECHRON’S DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law .

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