Lead AI/ML Engineer

Position:

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Role
As a Lead AI/ML Engineer, you spearhead the design, development, and implementation of advanced AI and machine learning models. Your role involves guiding a team of engineers ensuring the successful deployment of projects that leverage AI/ML technologies to solve complex problems. You collaborate closely with stakeholders to understand business needs, translate them into technical requirements, and drive innovation. Your responsibilities include optimizing model performance, conducting rigorous testing, and maintaining up-to-date knowledge of the latest industry trends. Additionally, you mentor team members, promote best practices, and contribute to strategic decision-making within the organiz

ation.Core Responsib

• ilities
  Client Interaction: Discuss client requirements and develop proposals tailored to thei
• r needs.Demonstrations and Workshops: Conduct solution/product demonstrations, POC/Proof of Technology workshops, and prepare effort estimates in line with customer budgets and organizational financial gui
• delines.Model Oversight: Oversee the development and deployment of AI models, especially those generating content such as text, images, or othe
• r media.AI Solutions: Engage in coding, designing, developing, implementing, and deploying advanced AI so
• lutions.Expertise Utilization: Utilize your expertise in NLP, Python programming, LLMs, Deep Learning, and AI principles to drive the development of transformative techn
• ologies.Leadership and Initiative: Actively lead projects and contribute to both unit-level and organizational initiatives to provide high-quality, value-adding solutions to cu
• stomers.Strategic Development: Develop value-creating strategies and models to help clients innovate, drive growth, and increase profit
• ability.Technology Awareness: Stay informed about the latest technologies and industry
• trends.Problem-Solving and Collaboration: Employ logical thinking and problem-solving skills, and collaborate effe
• ctively.Client Interfacing: Demonstrate strong client interfacing
• skills.Project and Team Management: Manage projects and teams effi

ciently.Requir

• ed Skills
  Skills: Hands-on expertise in NLP, Computer Vision, programming, and related
• concepts.Leadership: Capable of leading and mentoring a team of AI engineers and researchers, setting strategies for AI model development and deployment, and ensuring these align with busin
• ess goals.Technical Proficiency: Proficient in implementing and optimizing advanced AI solutions using Deep Learning and NLP, with tools such as Tensor Flow, PyTorch, Spark,
• and Keras.LLM Experience: Experience with Large language Models like GPT 3.5, GPT 4, Llama, Gemini, Mistral, etc. along with experience in LLM integration frameworks like Lang Chain, Llama index, Agen
• tGPT, etc.Deep Learning OCR: Extensive experience implementing solutions using Deep Learning OCR a
• lgorithms.Neural Networks: Working knowledge of Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Generative Adversarial Networ
• ks (GANs).Python Expertise: Strong coding skills in Python, including related frameworks, best practices, and design
• patterns.Preferred Knowledge: Familiarity with word embeddings, transformer models, and image/text generation and p
• rocessing.Deployment: Experience deploying AI/ML solutions as a service or REST API endpoints on Cloud or K
• ubernetes.Development Methodologies: Proficient in development methodologies and writing unit tests
• in Python.Cloud: Knowledge of cloud computing platforms and services, such as AWS, Azure, or Goo
• gle Cloud.Experience with information security and secure development best

practices.Qua

• lifications
  Bachelors or higher degree in Computer Science, Engineering, Mathematics, Statistics, Physics, or a re
• lated field.8+ years in IT with a focus on AI/ML practices and

background.N

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