
ML & AI Engineer
Responsibilities
Key Responsibilities:
- Design, develop, and deploy ML models (classification, forecasting, NLP, etc.)
- Build scalable data pipelines and integrate AI solutions into production systems
- Collaborate with Data Ops, Product, and Engineering teams to operationalize use cases
- Enhance existing models for performance, accuracy, and scalability
- Ensure model monitoring, governance, and lifecycle management
Qualifications
Qualifications:
Mandatory skills : Gen AI, Python
You are a solution-oriented professional with strong technical expertise and a passion for building scalable AI systems. You bring a balance of machine learning knowledge, data engineering capabilities, and collaboration skills to deliver high-impact solutions.
You have:
- Minimum Bachelors degree with 2+ years of experience
- Experience in Gen AI & AI/ML skills, along with experience in machine learning frameworks
- Experience working with large-scale deployments, including LLM-based solutions and API integrations
- Hands-on experience in developing and implementing Generative AI / Agentic AI solutions in enterprise environments
- Solid understanding of data engineering concepts and experience working with cloud platforms such as Azure, AWS, or GCP
- Knowledge of deep learning and computer vision techniques, with the ability to apply them to practical use cases
HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics.
