Role- SR. AI Engineer
Location-Remote
Experience : 15+ Years
Client: HCL
Mandatory Skills | Gen AI/ Python/ Azure OpenAI/ TensorFlow/ Azure ML/ Bus. Process-Life Sciences |
To be responsible for managing technology in complex projects ,providing technical guidance and ensuring successful delivery of solutions.
- To be responsible for providing technical guidance to a team of developers, enhancing their technical capabilities and increasing productivity.
- To conduct comprehensive code reviews, establish and oversee quality assurance processes, performance optimization , implementation of best practices and coding standards to ensure successful delivery of complex projects.
- To ensure process compliance in the assigned module| and participate in technical discussions/review as a technical consultant for feasibility study (technical alternatives, best packages, supporting architecture best practices, technical risks, breakdown into components, estimations).
- To collaborate with stakeholders to define project scope, objectives, deliverables and accordingly prepare and submit status reports for minimizing exposure & closure of escalations.
Additional requirement :
SR. AI Engineer
Skills-
Advanced AI Skills
Proficiency in Python
JD- “- Educational Qualifications: Graduate or Doctorate degree in information technology, Neuroscience, Business Informatics, Biomedical Engineering, Computer Science, Artificial Intelligence, or a related field. Specialization in Natural Language Processing is preferred.
- Experience Requirements: 8-10 years of experience in developing Data Science, AI, and ML solutions, with a specific focus on generative AI and LLMs in the MedTechHealthcareLife Sciences domain.
- Prior experience in identifying new opportunities to optimize the business through analytics, AIML and use case prioritization.
- The individual should be a thought leader having a well-balanced analytical business acumen, domain, and technical expertise.
- Large Language Model Expertise: Experience in working with and fine-tuning Large Language Models (LLMs), including the design, optimization of NLP systems, frameworks, and tools.
- Application Development with LLMs: Experience in building scalable applications using LLMs, utilizing frameworks such as LangChain, LlamaIndex, etc and productionizing machine learning and AI models.
- Language Model Development: Utilize off-the-shelf LLM services, such as Azure OpenAI, to integrate LLM capabilities into applications.
- Cloud Computing Expertise: Proven architect kind of experience in cloud computing, particularly with Azure Cloud Services.
- Technical Proficiency: Strong skills in UNIXLinux environments and command-line tools.
- Programming and ML Skills: Proficiency in Python, with a deep understanding of machine learning algorithms, deep learning, and generative models.
- Advanced AI Skills and Testing: Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch), hands-on experience in deploying AIML solutions as a serviceREST API on Cloud or Kubernetes, and proficiency in testing of developed AI components.
- Responsibilities also include data analysis preprocessing for training and fine-tuning language models. “
Ankit Kumar
Team Lead
ankitk@silverlinktechnologies.com
Silverlink Technologies Pvt Ltd