Azure AI DevOps

We are

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,000+, and has 52 offices in 20 countries within key global markets.

Our challenge

This resource will be part of our growing Infrastructure Automation Team within Public Cloud. This role will be key in working with various infrastructure teams (Security, Networking, Database, Unix) to develop, deploy and support cloud and hybrid applications. Due to the collaborative nature of the role, it will be important that this resource be senior in both AI/ML / AWS / technical skills and interpersonal skills. Candidate should have strong communication, teamwork, customer service and leadership skills to partner with broader global technology engineering, information security and line of business teams.

Additional Information - New York Only*

The base salary for this position will vary based on geography and other factors. In accordance with New York law, the base salary for this role if filled within New York is $120k - $130k/year & benefits (see below).

The Role

Responsibilities :

• Translate the vision of business leaders into realistic technical implementations.
• Select appropriate AWS and/or Azure technologies, considering deployment models and integration with existing tools.
• Collaborate with Enterprise Architecture, Application Development, and Business teams to engineer pilot use cases and develop production solutions.
• Gather inputs from multiple stakeholders to align technical implementation with existing and future requirements.
• Work closely with security and risk leaders to foresee and mitigate risks, ensuring ethical AI implementation and compliance.
• Address potential issues such as training data poisoning, AI model theft, and adversarial samples.
• Build tools and capabilities that assist with data ingestion, feature engineering, data management, and organization.
• Design, implement, and maintain distributed computing solutions for data processing and model training, ensuring the security, scalability, and reliability of machine learning infrastructure.
• Understand and contribute to MLOps and LLMOps, focusing on operational capabilities and infrastructure to deploy and manage machine learning models and large language models.

Requirements:

You are:

• Bachelor's Degree in any of Computer Science, Statistics, Data Science, or a related field.

• Certifications in AI/ML technologies and Cloud platforms, such as AWS Certified Machine Learning, Azure AI Engineer, Azure Data Scientist, or Azure Solutions Architect
• 5 + years of experience in Data Science, Machine Learning, or AI environment
• experience in implementing cloud-based AI/ML workloads on AWS and/or Azure.
• experience gathering non-functional requirements, performing designed and validated application architecture frameworks, and executing functional and testing assignments.
• experience in Generative AI/LLMs, preferably experienced in delivering and productionizing.
• experience in machine learning model development, natural language processing, and data analysis; Experienced in Supervised and Unsupervised learning, feature engineering, model training, and deployment.

We can offer you:

• A highly competitive compensation and benefits package
• A multinational organization with 52 offices in 20 countries and the possibility to work abroad
• Laptop and a mobile phone
• 10 days of paid annual leave (plus sick leave and national holidays)
• Maternity & Paternity leave plans
• A comprehensive insurance plan including: medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region)
• Retirement savings plans
• A higher education certification policy
• Commuter benefits (varies by region)
• Extensive training opportunities, focused on skills, substantive knowledge, and personal development
• On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses
• Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups
• Cutting edge projects at the world's leading tier-one banks, financial institutions and insurance firms
• A flat and approachable organization
• A truly diverse, fun-loving and global work culture

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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