
AI/ML lead
3 days ago
Matellio is hiring a skilled and visionary
AI Lead
to drive development of advanced AI solutions. This is a
dual role
involving both
technical leadership
and
hands-on development
—perfect for someone who thrives on solving complex problems with machine learning, NLP, and LLM technologies.
Key Responsibilities:
- Lead and mentor a team of 4–5 AI/ML engineers, guiding them through the full project lifecycle from research to production deployment.
- Design and own both
high-level and low-level architecture
for AI and GenAI-based applications, ensuring scalability, performance, and maintainability. - Collaborate with sales and business development teams to create
technical proposals
, including
solution design
,
architecture diagrams
, and
high-level estimates
for Sales Qualified Leads (SQLs). - Work as an
individual contributor
when needed, developing key components of the solution to accelerate delivery and set best practices. - Research, design, and implement machine learning and deep learning models, including
fine-tuning and deploying LLMs
(e.g., GPT, BERT) for production use cases. - Build
NLP pipelines
and
retrieval-augmented generation (RAG)
systems using tools like LangChain, LangGraph, and vector databases (e.g., FAISS, Pinecone, Weaviate). - Apply statistical techniques to feature engineering, model evaluation, and performance optimization.
- Ensure adherence to code quality, testing, CI/CD, and documentation standards.
- Stay current with AI/ML advancements and proactively propose innovative solutions.
- Conduct code reviews, encourage peer learning, and contribute to a strong engineering culture.
Required Skills and Qualifications:
- Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, Mathematics, or a related field.
- 7+ years of hands-on experience in AI/ML model development and deployment.
- Proven experience in leading technical teams and delivering production-grade AI/ML solutions.
- Strong architectural skills with experience designing
end-to-end solutions
involving cloud, APIs, and ML models. - Demonstrated experience supporting
technical pre-sales efforts
through proposals, estimates, and client presentations. - Proficient in Python and ML libraries such as TensorFlow, PyTorch, scikit-learn.
- Hands-on experience with NLP tools like HuggingFace Transformers, SpaCy, and NLTK.
- Practical knowledge of
fine-tuning and deploying LLMs
, and building GenAI solutions. - Familiarity with LangChain, LangGraph, and vector stores (e.g., FAISS, Pinecone).
- Strong understanding of classical ML algorithms (SVM, Decision Trees, etc.) and when to use them.
- Experience deploying models and services using REST APIs, Docker, and CI/CD pipelines.
- Exposure to cloud platforms such as AWS, GCP, or Azure.
- Excellent analytical thinking, problem-solving, and communication skills.
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