AI/ML Engineer
4 weeks ago
We are seeking a highly skilled AI/ML Engineer to join our team at Agilno. The successful candidate will have expertise in using Large Language Models (LLMs) in software development and will be responsible for designing, fine-tuning, evaluating, and deploying LLMs while working on Human-in-the-Loop (HITL) systems.
Key Responsibilities:- Work with pre-existing machine learning models, fine-tune them, and integrate them into software applications
- Collaborate with data scientists, engineers, and product managers to solve challenging problems
- Develop and deploy AI-driven features within larger software products
- Translate business requirements into data-driven solutions
- Stay current with the latest advancements in AI and machine learning technologies
- Strong knowledge of machine learning algorithms and statistical modeling
- Proficiency in Python, R, or a similar language used for ML
- Experience with popular machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn)
- Familiarity with cloud platforms (AWS, GCP, or Azure) and deploying ML models in production
- Strong software development skills and ability to integrate AI components into software solutions
- Ability to work collaboratively in a team environment
- Excellent problem-solving skills and an analytical mindset
- Experience with natural language processing (NLP) or computer vision
- Knowledge of MLOps practices and tools
- Background in software engineering or data engineering
- Employment agreement of indefinite duration
- Competitive salary based on experience and qualifications
- Bonuses for dedicated performance and a Christmas bonus
- Regular visits to client's headquarters
- Collaborative and supportive work environment
- Opportunities for professional development and career growth
- Paid time off and flexible work hours
- MacBook laptop for work equipment
- Health insurance coverage and other employee benefits
- 20 days per worked year of paid vacation
Agilno is an equal opportunity employer and values diversity in the workplace. We encourage candidates from all backgrounds to apply.
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