Infoya

www.infoya.com

1 Job

137 Employees

About the Company

Infoya is a pioneering consulting firm, collaborating with visionary leaders to achieve outsized business impact. We are focused on following areas of business transformation space: Innovation serves as our starting point. We recognize that the landscape of technology is ever-evolving, presenting both opportunities and obstacles. By continually seeking out innovative solutions and exploring cutting-edge technologies, we position ourselves at the forefront of the industry, ready to address the unique needs and challenges faced by our clients. Transformation follows closely behind. In today's digital age, the ability to adapt and evolve is crucial for businesses seeking to thrive in a competitive landscape. At Infoya, we work hand-in-hand with our clients to facilitate transformative change, guiding them through strategic shifts in technology, processes, and culture that are essential for long-term success. Ultimately, our goal is to solve the problems that our clients face. Whether it's streamlining operations, improving cybersecurity measures, or enhancing customer experiences, we leverage our expertise and experience to deliver practical, effective solutions that address the root causes of our clients' challenges and drive tangible results. In summary, at Infoya, our approach to IT consultancy is guided by a clear and sequential process: we look for innovative solutions, transform our clients' operations, and ultimately, solve the problems that stand in the way of their success.

Listed Jobs

Company Name: Infoya
Job Title: AI/ML Engineer
Job Description: Job title AI/ML Engineer Role Summary Design, develop, and production‑grade machine learning and generative AI solutions focused on anomaly detection, NLP, and large language models. Oversee end‑to‑end ML pipelines, from data preprocessing to model deployment, and implement ML Ops best practices on cloud platforms. Expactations - Deliver robust, scalable ML models that solve business problems. - Keep model performance optimal through monitoring, retraining, and continuous improvement. - Communicate technical findings clearly to cross‑functional stakeholders. Key Responsibilities - Build and deploy models for anomaly detection, time‑series forecasting, NLP, and LLMs. - Design data pipelines, feature engineering, and model evaluation workflows. - Automate model lifecycle with ML Ops tools and cloud‑based orchestration (Vertex AI, SageMaker, Azure ML). - Develop SQL scripts for data extraction, transformation, and aggregation. - Stay current on advances in generative AI, NLP, and ML research and apply them to projects. - Troubleshoot and resolve production issues proactively. Required Skills - 5+ years of production ML experience. - Expertise in time‑series forecasting, generative AI, NLP, and LLMs. - Proficient in Python; experience with TensorFlow, LangChain, LlamaIndex, or similar frameworks. - Hands‑on with ML Ops tools and cloud‑based ML platforms (preferably GCP). - Solid foundation in probability, statistics, and mathematical modeling. - Knowledge of supervised, unsupervised, and reinforcement learning techniques. - Familiarity with big data processing frameworks (Apache Beam, PySpark). - Experience with scheduling/airflow tools (Cloud Composer, similar). Required Education & Certifications - Bachelor’s or Master’s degree in Computer Science, Data Science, Applied Mathematics, or related field. - Relevant certifications in cloud platforms (e.g., GCP ML Engineer, AWS Certified Machine Learning) – preferred.