- Company Name
- Information Tech Consultants
- Job Title
- Artificial Intelligence Engineer
- Job Description
-
Job title: Artificial Intelligence Engineer
Role Summary: Senior lead responsible for designing, developing, and deploying advanced AI solutions across generative AI, computer vision, NLP, and deep‑learning domains. Oversees end‑to‑end data science workflows, mentors a team of consultants, and drives project delivery within consulting/sales frameworks.
Expectations:
- 12–18 years of industry experience in data engineering, statistical modeling, and machine‑learning or deep‑learning product development.
- Master’s or PhD in Statistics, Mathematics, Computer Science or a related quantitative field.
- Proven leadership in leading consulting teams, managing multiple projects, and delivering measurable business outcomes.
- Fluency in English (written and oral).
Key Responsibilities:
- Lead large‑scale data collection, preprocessing, and feature engineering initiatives.
- Design and implement ML/DL models (NLP, generative AI, computer vision) using Python, SQL, and cloud platforms.
- Create automated data pipelines and tools for continuous model training and evaluation.
- Produce detailed analytical reports and presentations for executive stakeholders.
- Mentor and coach junior consultants on coding best practices, model deployment, and data science methodologies.
- Collaborate with sales and delivery teams to translate client needs into technical solutions.
- Maintain knowledge of emerging AI/ML techniques and cloud services; evaluate and recommend tools and frameworks.
Required Skills:
- Advanced proficiency in Python and SQL; experience with Java/C++ preferred.
- Deep expertise in TensorFlow, PyTorch, Keras, OpenCV, BERT, ELMo, SpaCy, NLTK, and other ML libraries.
- Hands‑on experience building generative AI, NLP chatbots, and computer‑vision applications (e.g., face/OSR).
- Cloud platform proficiency (AWS, Azure, or GCP) and familiarity with cloud‑based ML services.
- Strong statistical background: GLM, random forests, boosting, clustering, regression, simulation, scenario analysis.
- Project management and storytelling skills; ability to manage concurrent deadlines.
- Empathy, service orientation, and a result‑driven mindset.
Required Education & Certifications:
- Master’s or PhD in a quantitative discipline.
- Certification in cloud‑based ML services (e.g., AWS SageMaker, Azure ML, GCP AI Platform) is desirable.