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AI/ML

  • Source: LinkedIn
  • Global Business Ser. 4u
  • On-site
  • New York City
  • Full-Time
  • Mid level

Job Description

Job title- AI/ML Location- New York, NY

Job Tye- Full Time

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 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.

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

Skills

  • Python
  • Tensorflow
  • PyTorch
  • Scikit-learn
  • amazon-web-services
  • microsoft-azure
  • google-cloud-platform
  • Spark
  • Hadoop
  • apache-hadoop
  • ml-flow
  • mlflow
  • kubeflow
  • udemy
  • curated

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