AI/ML Engineer
AI/ML Engineer
Zen TechnologiesThis job is no longer accepting applications
Job Description
Job description
- We are seeking a highly skilled and motivated AI/ML Engineer to design, develop, and deploy state-of-the-art machine learning models and AI-driven systems. The ideal candidate will have a strong background in machine learning frameworks, programming, and data analysis, coupled with the ability to work in a collaborative, fast-paced environment.
Key Responsibilities:
Model Development:
- Design, implement, and optimize machine learning models for various applications, including prediction, classification, clustering, and recommendation systems.
Data Pipeline Management:
- Develop and maintain data pipelines, ensuring data is clean, reliable, and suitable for training and testing machine learning models.
Research and Innovation:
- Stay updated on the latest AI/ML trends, techniques, and tools to drive innovation within the team.
- Prototype and test new algorithms and methods to solve complex problems.
System Integration:
- Collaborate with software engineers to integrate AI/ML solutions into existing platforms and applications.
Performance Monitoring:
- Monitor and analyze the performance of deployed models, implementing improvements as needed to maintain high accuracy and efficiency.
- Collaboration:
- Work closely with cross-functional teams, including data scientists, product managers, and business analysts, to align AI/ML solutions with business objectives.
Required Qualifications:
- Bachelor\u2019s or Master\u2019s degree in Computer Science, Data Science, AI/ML, or a related field.
- Strong programming skills in Python, R, or similar languages.
- Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Proficiency in working with large datasets and databases (SQL, NoSQL, etc.).
- Solid understanding of algorithms, data structures, and mathematical concepts (linear algebra, probability, statistics).
- Experience with cloud platforms like AWS, Azure, or Google Cloud for AI/ML deployment.
- Strong problem-solving skills and attention to detail.
Preferred Qualifications:
- Experience with natural language processing (NLP) or computer vision (CV) techniques.
- Familiarity with MLOps practices and tools.
- Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).
- Published research or contributions to open-source AI/ML projects.
More Info
About Company
Skills:
Machine Learning, Nlp, Docker, Bash, Python, Deep Learning, MLops, Salesforce, GCP Professional Cloud Architect, CI/CD tools, ML pipelines, Gemini, Model training, GPT-4, Large Language Models, AI governance and ethics
Skills:
Python, Matplotlib, Machine Learning, Data Structures, Deep Learning, Tensorflow, Algorithms, Nlp, Nltk, Pytorch, Gcp, Data Visualization, Agile, Seaborn, Scrum, Keras, Azure, AWS, Plotly, Hugging Face, Software Engineering Principles, SpaCy
Skills:
Python Programming, metrics, evaluation datasets, fine-tuning, LLM and AI fundamentals, Analytical Skills, AI agent architecture, prompt optimization, production ML AI systems, structured testing, benchmarks, model and LLM evaluation, root-cause analysis, model improvement
Skills:
data engineering , .NET, production deployment , Java, Scalability, Data Science, Cloud, System Design, Backend Engineering, Integration, Python, ML Engineering, Generative AI, LLMs, Agentic AI, Security, RAG, architecture, AI frameworks, AI application development
Skills:
Django, Git, Docker, FastAPI, Rest Apis, Python, Microservices, PostgreSQL, Prometheus, Kafka, Grafana, Datadog, Sql, Nosql, Gcp, MySQL, MongoDB, Splunk, Azure, Kubernetes, AWS, Generative AI, LLMs, CI CD automation, AI ML concepts, RAG, Event-driven architectures