AI/ML Engineer

About US: -

Headquartered in the Silicon Valley with offices in London, Hyderabad and Singapore, Accellor is a Microsoft Gold Partner and a premier Salesforce Partner that uses best-of-breed Cloud technology to deliver superior customer engagement and business effectiveness for clients. We bring a deep understanding of Financial, Retail, High Tech, Healthcare, and Retail industries, rolling out end-to-end implementation of salesforce.com and powerful third-party apps. We also build products that are sold on the AppExchange and used by both boutique businesses and Fortune 500 companies.  

  
Majority of our team members based at Hyderabad, delivering best of breed cloud solutions to customers in the US, UK and APAC region. We’ve created an atmosphere that encourages curiosity, constant learning, and persistence. We encourage our employees to grow and explore their interests. We cultivate an environment of collaboration, autonomy and delegation – we know our people have a strong work ethic and a sense of pride and ownership over their work. They are passionate, eager, and motivated – focused on building the perfect solution but never losing sight of the bigger picture.  

We are looking for a highly motivated and skilled AI/ML Engineer to join our dynamic team. As an AI/ML Engineer, you will be responsible for designing, developing, and deploying cutting-edge AI and machine learning solutions to solve complex business problems. You will collaborate with cross-functional teams to identify opportunities for AI/ML integration and work on developing scalable and efficient algorithms. The ideal candidate should possess a strong background in machine learning, programming, and data analysis, along with a passion for staying up-to-date with the latest advancements in the field of AI.

Responsibilities:

• Design, develop, and implement AI/ML models and algorithms to solve specific business problems.
• Collaborate with stakeholders to understand business requirements that can be addressed using AI and machine learning techniques and to integrate AI/ML solutions into production systems and applications.
• Pre-process, clean, and analyse large datasets to extract meaningful insights and features for model training.
• Optimize and fine-tune models for accuracy, performance, and scalability.
• Stay updated with the latest research and advancements in AI/ML, and incorporate relevant techniques into the development process.
• Evaluate and test models using appropriate evaluation metrics to ensure their effectiveness and robustness.
• Monitor and maintain deployed models, making necessary updates and improvements as needed.
• Participate in code reviews, knowledge sharing, and mentoring of junior team members.
• Document methodologies, experiments, and results clearly and effectively.
• Continuously iterate and improve AI/ML solutions based on feedback and real-world performance.