AI/ML Engineer
Description For AI/ML Engineer
Accellor, headquartered in Silicon Valley with offices in London, Hyderabad, and Singapore, is seeking a highly motivated and skilled Senior AI/ML Engineer. As an AI/ML Engineer, you will design, develop, and deploy cutting-edge AI and machine learning solutions to solve complex business problems. You'll collaborate with cross-functional teams to identify opportunities for AI/ML integration and work on developing scalable and efficient algorithms.
Key Responsibilities:
- Design, develop, and implement AI/ML models and algorithms
- Collaborate with stakeholders to understand business requirements
- Pre-process, clean, and analyze large datasets
- Optimize and fine-tune models for accuracy, performance, and scalability
- Stay updated with the latest research and advancements in AI/ML
- Evaluate and test models using appropriate metrics
- Monitor and maintain deployed models
- Participate in code reviews and mentor junior team members
- Document methodologies, experiments, and results
- Continuously iterate and improve AI/ML solutions
Accellor offers an environment that encourages curiosity, constant learning, and persistence. They cultivate collaboration, autonomy, and delegation, knowing their employees have a strong work ethic and sense of pride in their work. Join their team to shape the future with AI and Machine Learning while working on exciting projects for global brands in industries like High-Tech, communication, media, healthcare, retail, and telecom.
Responsibilities For AI/ML Engineer
- Design, develop, 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
- 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
- Evaluate and test models using appropriate evaluation metrics
- Monitor and maintain deployed models, making necessary updates and improvements
- 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 For AI/ML Engineer
- 3-5 years of relevant 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
- 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 For AI/ML Engineer
- Exciting projects with fantastic global brands
- Collaborative environment with diverse team
- Work-life balance with flexible work schedules
- Professional development opportunities
- Competitive salaries
- Family medical insurance
- Personal Accident Insurance
- Periodic health awareness program
- Extended maternity leave
- Annual performance bonuses
- Referral bonuses
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