AI/ML

About the role

Develop and implement AI/ML models: Design, develop, test, and deploy machine learning models that solve real-world problems.

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

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
• Minimum of 10+ 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.

Benefits

• 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