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Mandatory Skills :

Gen AI/ Python/ Azure OpenAI/ TensorFlow/ Azure ML/ Bus. Process-Life Sciences

Job Description :

• 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

 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. “