AI/ML Developer

1 week ago


Sunrise, United States Synechron Full time
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 an AI/ML Developer, candidate will be responsible for building, testing, and deploying AI/ML models that can analyze and interpret complex data sets and enable predictive insights. Candidate will work closely with our product development, data science, and engineering teams to create solutions that deliver real-world impact.

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 Sunrise, FL is $110k - $120k/year & benefits (see below).

The Role

Responsibilities:
  • Develop and implement AI/ML models: Design, develop, test, and deploy machine learning models that solve real-world problems. Candidate will handle data preprocessing, model training, tuning, and evaluation.
  • Data Exploration and Analysis: Work with structured and unstructured data to prepare it for ML models. Collaborate with data engineers to ensure high data quality and availability.
  • Model Optimization: Optimize algorithms to ensure high accuracy and low latency. Use techniques like hyperparameter tuning, regularization, and transfer learning.
  • Collaborate Across Teams: Work with product managers, engineers, and data scientists to integrate AI solutions into the company's offerings. Provide technical expertise and share knowledge with team members.
  • Maintain and Update Models: Monitor the performance of deployed models, make improvements as needed, and ensure their reliability and scalability.
  • Stay Updated: Keep up with the latest AI/ML advancements, tools, and libraries to bring innovative approaches to the team.
Requirements:

You are:
  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
  • Minimum of 7 years of experience in AI/ML model development, deployment, and optimization.
  • Proficiency in Python, R, or similar programming languages.
  • Experience with machine learning libraries like TensorFlow, PyTorch, Scikit-learn, etc.
    Strong knowledge of ML algorithms, including supervised, unsupervised, and reinforcement learning.
  • Familiarity with cloud platforms (AWS, Azure, Google Cloud) for deploying models.
    Understanding of data preprocessing techniques and experience with SQL and NoSQL databases.
  • Analytical Skills: Excellent problem-solving skills and a data-driven mindset.
  • Communication: Ability to explain technical concepts to non-technical stakeholders effectively.
It would be great if you also had:
  • Experience with natural language processing, computer vision, or recommendation systems.
  • Familiarity with big data technologies (e.g., Spark, Hadoop) and data visualization tools.
  • Understanding of MLOps and experience with tools like MLflow or Kubeflow.
    Knowledge of Agile methodologies.
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


SYNECHRON'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
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