Artificial Intelligence Engineer with a Passion for Innovation
4 weeks ago
Accellor, a leading provider of cloud technology solutions, is seeking an exceptional Senior Machine Learning Engineer to join our dynamic team.
About Us:
We are headquartered in the Silicon Valley and have offices in London, Hyderabad, and Singapore. As a Microsoft Gold Partner and a premier Salesforce Partner, we leverage best-of-breed Cloud technology to deliver superior customer engagement and business effectiveness for clients across various industries including Financial, Retail, High Tech, Healthcare, and more.
Our team at Hyderabad serves clients in the US, UK, and APAC region, fostering an environment that encourages curiosity, constant learning, and persistence. We empower our employees to grow and explore their interests while cultivating a culture of collaboration, autonomy, and delegation.
Job Description:
We are looking for a highly motivated and skilled Senior Machine Learning Engineer to design, develop, and deploy cutting-edge AI and machine learning solutions to address complex business challenges. As a key member of our team, you will collaborate with cross-functional teams to identify opportunities for AI/ML integration and work on developing scalable and efficient algorithms.
Responsibilities:
- Design and implement AI/ML models and algorithms to solve specific business problems.
- Collaborate with stakeholders to understand business requirements and integrate AI/ML solutions into production systems and applications.
- Pre-process, clean, and analyze 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.
Requirements:
- 7+ years of experience in data pre-processing, feature engineering, and model evaluation.
- Bachelor's/Master's degree in Computer Science Engineering.
- Solid understanding of machine learning algorithms, statistics, and data structures.
- Proficiency in programming languages such as Python, Java/R and familiarity with libraries like TensorFlow, PyTorch, Scikit-learn, etc.
- Strong problem-solving skills and ability to think critically about complex challenges.
- Familiarity with cloud platforms and tools (ex: Azure/AWS/GCP) for model deployment and management. Experience in deploying machine learning models in production environments is a plus.
- Excellent communication skills to convey technical concepts to both technical and non-technical stakeholders.
- Strong teamwork and collaboration skills.
- Continuous learning attitude to keep up with the rapidly evolving AI/ML landscape.
- Experience with version control systems like Git and Copilot is a plus.
Benefits:
We offer a competitive salary of $120,000 - $180,000 per year, along with excellent benefits including flexible work schedules, opportunities to work from home, paid time off, holidays, medical insurance, and professional development opportunities.
Why Choose Accellor?
We foster a collaborative and innovative environment where creativity and diverse perspectives are valued. Our team prioritizes work-life balance, providing a supportive and inclusive atmosphere for our employees to grow and thrive. Join us in shaping the future with AI and Machine learning
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