ML Engineer

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 for developing and implementing machine learning models and algorithms that drive insights and enhance our financial products. Candidate will work closely with cross-functional teams to wrangle large datasets, engineer features, and deploy machine learning solutions that meet business objectives.

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 New York, NY is $120k - $125k/year & benefits (see below).

The Role

Responsibilities:

• Design, develop, and implement machine learning models using supervised and unsupervised learning techniques, deep learning, and reinforcement learning.
• Proficiently apply statistical algorithms and model evaluation techniques to ensure model accuracy and performance.
• Utilize frameworks such as PyTorch, TensorFlow, and Scikit-learn to build and optimize machine learning solutions.
• Perform large-scale data wrangling and transformation to prepare data for modeling and analysis.
• Collaborate with software engineering teams to integrate machine learning models into production systems, adhering to software design principles.
• Demonstrate programming proficiency in Python and Pyspark, ensuring clean and efficient code.
• Utilize version control systems such as Git to manage codebase and collaborate with team members.
• Understand and implement APIs and microservices to enable seamless integration of machine learning solutions.
• Stay updated with the latest advancements in machine learning and financial services, applying new knowledge to improve existing models and processes.

Requirements:

You are:

• Experience Range: 7+ Years 
• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
• Proven experience in machine learning and statistical algorithms, with a strong portfolio of projects.
• Proficiency in machine learning frameworks, including PyTorch, TensorFlow, and Scikit-learn.
• Strong programming skills in Python and Pyspark, with a solid understanding of software engineering practices.
• Experience with data wrangling, transformation, and feature engineering for large datasets.
• Familiarity with version control systems (e.g., Git) and understanding of API and microservices architecture.
• Excellent problem-solving skills, attention to detail, and the ability to work collaboratively in a fast-paced environment.

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