Lead engineer - ai/ml at Mindfire Solutions

Job Description:

Latest job information from Mindfire Solutions for the position of Lead engineer - ai/ml. If the Lead engineer - ai/ml vacancy in Rājkot, Gujarāt matches your qualifications, please submit your latest application or CV directly through the updated Jobkos job portal.

Please note that applying for a job may not always be easy, as new candidates must meet certain qualifications and requirements set by the company. We hope the career opportunity at Mindfire Solutions for the position of Lead engineer - ai/ml below matches your qualifications.

About the JobAs 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 organization. Core ResponsibilitiesClient Interaction: Discuss client requirements and develop proposals tailored to their 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 guidelines. Model Oversight: Oversee the development and deployment of AI models, especially those generating content such as text, images, or other media. AI Solutions: Engage in coding, designing, developing, implementing, and deploying advanced AI solutions.

Expertise Utilization: Utilize your expertise in NLP, Python programming, LLMs, Deep Learning, and AI principles to drive the development of transformative technologies. Leadership and Initiative: Actively lead projects and contribute to both unit-level and organizational initiatives to provide high-quality, value-adding solutions to customers. Strategic Development: Develop value-creating strategies and models to help clients innovate, drive growth, and increase profitability.

Technology Awareness: Stay informed about the latest technologies and industry trends. Problem-Solving and Collaboration: Employ logical thinking and problem-solving skills, and collaborate effectively. Client Interfacing: Demonstrate strong client interfacing skills.

Project and Team Management: Manage projects and teams efficiently. Required SkillsSkills: 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 business goals.

Technical Proficiency: Proficient in implementing and optimizing advanced AI solutions using Deep Learning and NLP, with tools such as Tensor Flow, Py Torch, 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, Llamaindex, Agent GPT, etc.

Deep Learning OCR: Extensive experience implementing solutions using Deep Learning OCR algorithms. Neural Networks: Working knowledge of Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Generative Adversarial Networks (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 processing. Deployment: Experience deploying AI/ML solutions as a service or REST API endpoints on Cloud or Kubernetes.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 Google Cloud.

Experience with information security and secure development best practices. QualificationsBachelor's or higher degree in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field.8+ years in IT with a focus on AI/ML practices and background.

Job Info:

• Company: Mindfire Solutions
• Position: Lead engineer - ai/ml
• Work Location: Rājkot, Gujarāt
• Country: IN

How to Submit an Application:

After reading and understanding the criteria and minimum qualification requirements explained in the job information Lead engineer - ai/ml at the office Rājkot, Gujarāt above, immediately complete the job application files such as a job application letter, CV, photocopy of diploma, transcript, and other supplements as explained above. Submit via the Next Page link below.