G
AI/ML
New York, NY
Full-time
Posted 1 month ago
Not Applicable
On-site
AIMLData ScienceOtherIT Services and IT Consulting
Job Description
Job title- AI/ML
Location- New York, NY
Job Tye- Full Time
The Role
Responsibilities
You are:
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.
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.
- 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.
- 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
Source: LinkedIn
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