Synechron
Machine Learning Eng with Java
Synechron, Plano, Texas, us, 75086
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 14,500+, and has 58 offices in 21 countries within key global markets.
Our challenge
As a Machine Learning Engineer, candidate will be responsible in creating ML Pipeline for (Data collection, data processing, model creation, model training, model fine tuning, model deployment).
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 Plano, TX is $100k - $115k/year & benefits (see below).
The Role
Responsibilities
: Be able to create a prototype to prove the design. Preparing UML diagrams to describe the current state of the application in terms of these parameters and describes the future state. Internet Software Engineers are involved in every release, every project, and in all the phases of SDLC like Analysis, Technical Design, Development, Testing and Deployment. At every step the Lead Engineer reviews project artifacts to ensure that the application suites interests are adequately addressed. The Lead Software Engineer role is to supervise and develop software to ensure delivery of Initiatives for specific applications or application groups. This includes supervising initiatives in parallel from a Software development standpoint to ensure applications are engaged in correct processes resulting in stable, quality deliverables. Develops, enhances, tests, supports, maintains and debugs software applications that support business units or support functions. A senior member of the technical team responsible for assisting senior business leaders and management. May provide strategic technical direction and system architecture for individual initiatives. Utilizes in-depth knowledge of technological alternatives and business system requirements to recommend innovations that enhance and/or provide a competitive advantage to the organization. Leads or has responsibility for estimation of eff ort for software application for one or more programmers. Coordinates collaboration with external programming teams to deliver software on time and within budget. Provides feedback and technical guidance to project managers on issues of critical importance to achieving business objectives. Requirements:
You are:
Over 8+ years of hands-on working experience to develop the mission critical, large-scale, high-volume enterprise & distributed applications by using AI/ML and Java/J2EE. Experience in creating ML Pipeline for (Data collection, data processing, model creation, model training, model fi ne tuning, model deployment) Experience building Deep Neural Networks or Transformer Models with Pytorch / Tensor Flow Experience on Python programming Experience in training ML models - awareness of different model training techniques Experience in data prep - Understanding of the inputs and outputs for different types of models (DNN, CNN, Transformers, LLMs) Experience with GPU/TPU enabled model training. Experience with working in both Linux and Windows environments for Model training and deployment. Experience in training LLMs. Experience with Speech models Experience in developing REST API's using Spring. Experience in Cloud technologies Experience with development models such as Agile and SDLC Experience with Deploying ML models in a production env Experience Building ML models from scratch Experience with Implementing ML in Java We can offer you:
A highly competitive compensation and benefits package A multinational organization with 58 offices in 21 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.
Candidate Application Notice
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 14,500+, and has 58 offices in 21 countries within key global markets.
Our challenge
As a Machine Learning Engineer, candidate will be responsible in creating ML Pipeline for (Data collection, data processing, model creation, model training, model fine tuning, model deployment).
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 Plano, TX is $100k - $115k/year & benefits (see below).
The Role
Responsibilities
: Be able to create a prototype to prove the design. Preparing UML diagrams to describe the current state of the application in terms of these parameters and describes the future state. Internet Software Engineers are involved in every release, every project, and in all the phases of SDLC like Analysis, Technical Design, Development, Testing and Deployment. At every step the Lead Engineer reviews project artifacts to ensure that the application suites interests are adequately addressed. The Lead Software Engineer role is to supervise and develop software to ensure delivery of Initiatives for specific applications or application groups. This includes supervising initiatives in parallel from a Software development standpoint to ensure applications are engaged in correct processes resulting in stable, quality deliverables. Develops, enhances, tests, supports, maintains and debugs software applications that support business units or support functions. A senior member of the technical team responsible for assisting senior business leaders and management. May provide strategic technical direction and system architecture for individual initiatives. Utilizes in-depth knowledge of technological alternatives and business system requirements to recommend innovations that enhance and/or provide a competitive advantage to the organization. Leads or has responsibility for estimation of eff ort for software application for one or more programmers. Coordinates collaboration with external programming teams to deliver software on time and within budget. Provides feedback and technical guidance to project managers on issues of critical importance to achieving business objectives. Requirements:
You are:
Over 8+ years of hands-on working experience to develop the mission critical, large-scale, high-volume enterprise & distributed applications by using AI/ML and Java/J2EE. Experience in creating ML Pipeline for (Data collection, data processing, model creation, model training, model fi ne tuning, model deployment) Experience building Deep Neural Networks or Transformer Models with Pytorch / Tensor Flow Experience on Python programming Experience in training ML models - awareness of different model training techniques Experience in data prep - Understanding of the inputs and outputs for different types of models (DNN, CNN, Transformers, LLMs) Experience with GPU/TPU enabled model training. Experience with working in both Linux and Windows environments for Model training and deployment. Experience in training LLMs. Experience with Speech models Experience in developing REST API's using Spring. Experience in Cloud technologies Experience with development models such as Agile and SDLC Experience with Deploying ML models in a production env Experience Building ML models from scratch Experience with Implementing ML in Java We can offer you:
A highly competitive compensation and benefits package A multinational organization with 58 offices in 21 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.
Candidate Application Notice