Synechron
Sr. Software Engineer
Synechron, Charlotte, North Carolina, United States, 28245
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 55 offices in 20 countries within key global markets.
Our challenge
The Vertex AI Machine Learning Engineer will be responsible for developing, deploying, and managing machine learning models using Google Cloud's Vertex AI platform. The ideal candidate will have a strong background in machine learning, experience with Google Cloud services, and a passion for solving complex problems with AI.
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 Charlotte, NC or Irving, TX is $140k - $150k/year & benefits (see below).
The Role
Responsibilities
:
Design, develop, and deploy machine learning models using Vertex AI.Integrate Vertex AI with other Google Cloud services such as BigQuery, Cloud Storage, and Dataflow.Utilize AutoML capabilities to create high-quality models with minimal manual effort.Develop custom training pipelines for more complex machine learning tasks using frameworks like TensorFlow and PyTorch.Implement and manage Vertex AI Pipelines for orchestrating end-to-end machine learning workflows.Monitor and optimize model performance post-deployment, ensuring models remain accurate and efficient over time.Collaborate with data scientists, software engineers, and other stakeholders to understand business requirements and translate them into effective AI solutions.Perform hyperparameter tuning to enhance model performance.Utilize Vertex AI Feature Store for feature management and reuse.Conduct online and batch predictions using Vertex AI prediction services.Adhere to MLOps best practices for model versioning, deployment, and lifecycle management.
Requirements:
You are:
Bachelor's or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.Proven experience with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn.Hands-on experience with Google Cloud Platform (GCP) services, specifically Vertex AI.Strong programming skills in Python or a similar language.Familiarity with data processing tools like Apache Beam, Dataflow, or similar.Understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning.Experience with AutoML tools and techniques.Excellent problem-solving skills and the ability to work in a fast-paced environment.Strong communication and collaboration skills.
It would be great if you also had:
Google Cloud Professional Machine Learning Engineer certification.Experience with MLOps tools and practices.Familiarity with Kubernetes and Docker for containerization and orchestration.Knowledge of big data technologies like BigQuery, Spark, and Hadoop.
We can offer you:
A highly competitive compensation and benefits packageA multinational organization with 55 offices in 20 countries and the possibility to work abroadLaptop and a mobile phone10 days of paid annual leave (plus sick leave and national holidays)Maternity & Paternity leave plansA comprehensive insurance plan including: medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region)Retirement savings plansA higher education certification policyCommuter 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 coursesCoaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groupsCutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firmsA flat and approachable organizationA 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.
Candidate Application Notice#J-18808-Ljbffr
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 55 offices in 20 countries within key global markets.
Our challenge
The Vertex AI Machine Learning Engineer will be responsible for developing, deploying, and managing machine learning models using Google Cloud's Vertex AI platform. The ideal candidate will have a strong background in machine learning, experience with Google Cloud services, and a passion for solving complex problems with AI.
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 Charlotte, NC or Irving, TX is $140k - $150k/year & benefits (see below).
The Role
Responsibilities
:
Design, develop, and deploy machine learning models using Vertex AI.Integrate Vertex AI with other Google Cloud services such as BigQuery, Cloud Storage, and Dataflow.Utilize AutoML capabilities to create high-quality models with minimal manual effort.Develop custom training pipelines for more complex machine learning tasks using frameworks like TensorFlow and PyTorch.Implement and manage Vertex AI Pipelines for orchestrating end-to-end machine learning workflows.Monitor and optimize model performance post-deployment, ensuring models remain accurate and efficient over time.Collaborate with data scientists, software engineers, and other stakeholders to understand business requirements and translate them into effective AI solutions.Perform hyperparameter tuning to enhance model performance.Utilize Vertex AI Feature Store for feature management and reuse.Conduct online and batch predictions using Vertex AI prediction services.Adhere to MLOps best practices for model versioning, deployment, and lifecycle management.
Requirements:
You are:
Bachelor's or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.Proven experience with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn.Hands-on experience with Google Cloud Platform (GCP) services, specifically Vertex AI.Strong programming skills in Python or a similar language.Familiarity with data processing tools like Apache Beam, Dataflow, or similar.Understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning.Experience with AutoML tools and techniques.Excellent problem-solving skills and the ability to work in a fast-paced environment.Strong communication and collaboration skills.
It would be great if you also had:
Google Cloud Professional Machine Learning Engineer certification.Experience with MLOps tools and practices.Familiarity with Kubernetes and Docker for containerization and orchestration.Knowledge of big data technologies like BigQuery, Spark, and Hadoop.
We can offer you:
A highly competitive compensation and benefits packageA multinational organization with 55 offices in 20 countries and the possibility to work abroadLaptop and a mobile phone10 days of paid annual leave (plus sick leave and national holidays)Maternity & Paternity leave plansA comprehensive insurance plan including: medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region)Retirement savings plansA higher education certification policyCommuter 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 coursesCoaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groupsCutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firmsA flat and approachable organizationA 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.
Candidate Application Notice#J-18808-Ljbffr