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AI​/ML Engineer

Job in Alpharetta, Fulton County, Georgia, 30239, USA
Listing for: Synechron Inc.
Full Time position
Listed on 2025-12-25
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 110000 - 120000 USD Yearly USD 110000.00 120000.00 YEAR
Job Description & How to Apply Below
** 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 & Dev Ops, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our Fin Labs 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 14,500+, and has 58 offices in 21 countries within key global markets.
** Our challenge
** We are seeking a highly experienced and innovative Senior AI/ML Engineer with 5 to 12 years of industry expertise to lead the development of scalable machine learning systems. In this pivotal role, Candidate will architect and implement advanced AI solutions, guide strategic AI initiatives, and collaborate with cross-functional teams to drive innovation. Candidate technical leadership will be instrumental in shaping our AI roadmap and delivering state-of-the-art models and systems.

Additional Information The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Alpharetta, GA is $110k - $120k/year & benefits (see below).
** The Role
**** Responsibilities:
*** Design, develop, and optimize scalable machine learning systems capable of handling large-scale data and complex models.
* Develop advanced statistical models to solve complex business problems.
* Lead the deployment of ML models into production environments with robustness and efficiency.
* Integrate models seamlessly with REST APIs for application integration.
* Provide technical guidance and strategic direction for AI initiatives across teams.
* Stay abreast of the latest AI/ML research, especially in NLP, deep learning, and large language models.
* Mentor junior team members and promote best practices in AI engineering.
* Collaborate with data engineers, software developers, and product teams to align AI solutions with business goals.
** Requirements:
*** Bachelor’s, Master’s, or PhD in Computer Science, Data Science, or related fields.
* 5–12 years of relevant experience in AI/ML engineering and system architecture.
* Proven track record of deploying high-impact AI solutions at scale.
* Strong analytical, strategic thinking, and problem-solving skills.
* Excellent communication abilities and leadership qualities.
* In-depth experience with Natural Language Processing (NLP), deep learning, and transformer-based models.
* Hands-on experience with cloud ML platforms, such as AWS Sage Maker or Azure AI.
* Demonstrated leadership in formulating and executing AI strategies within organizations.
* Knowledge of the latest AI frameworks, including Transformers and Large Language Models (LLMs).
* Proven experience designing scalable ML systems and architectures.
* Strong expertise in advanced statistical modeling techniques.
* Deep experience in model development and deployment pipelines.
* Proficiency in integrating ML models with REST APIs.
** We offer:
*** A highly competitive compensation and benefits package.
* A multinational organization with 58 offices in 21 countries and the possibility to work abroad.
* 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…
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