GenAI Engineer

GenAI Engineer

EXP-2-5 Years

Location - Bangalore Full-Time

Role and Responsibilities:

Research and Development: Conduct extensive research to identify emerging AI technologies, techniques, and methodologies relevant to the organization's business objectives. Stay up to date with industry trends and advancements in AI.

AI Solution Design: Collaborate with stakeholders to understand business requirements and translate them into AI solutions. Develop strategies and roadmaps for implementing AI solutions that align with business goals. Design, implement, and deploy AI-powered capabilities utilizing exploratory data analysis, model training, fine-tuning, and evaluation.

Data Analysis: Analyze large and complex data sets to identify patterns, trends, and insights. Apply statistical analysis and machine learning algorithms to extract meaningful information and drive data-driven decision-making.

Model Development: Build and optimize machine learning models, including supervised and unsupervised learning algorithms, natural language processing (NLP) models, computer vision models, and deep learning architectures. Leverage state-of-the-art AI technologies like Transformer Neural Networks, Embeddings, Vector Stores, RESTful APIs and Graph APIs and LLMs to solve security challenges. Fine-tune models for accuracy, efficiency, and scalability.

Implementation and Integration: Implement AI models and solutions within the existing infrastructure, ensuring compatibility and integration with existing systems and processes. Collaborate with software engineers and IT teams to deploy AI solutions into production environments. Help the team in all aspects of building AI features from inception to productization to monitoring in production.

Performance Monitoring and Optimization: Continuously monitor AI models and solutions to ensure optimal performance, accuracy, and efficiency. Identify and address performance bottlenecks and optimize AI models for real-time and scalable processing.

Mentorship and Support: Support, mentor, and guide other engineers and data scientists. Partner closely with Data Science, Product Management teams to drive AI initiatives and ensure successful AI project delivery.

Documentation and Reporting: Document AI models, algorithms, methodologies, and processes. Prepare reports and presentations to communicate findings, insights, and recommendations to stakeholders and management.

Collaboration and Knowledge Sharing: Work collaboratively with cross-functional teams, including data scientists, software engineers, and business analysts, to drive AI initiatives. Share knowledge, best practices, and insights related to AI technologies and methodologies.

Requirements:

Education: Bachelor's or Master's degree in computer science, Data Science, or a related field. Relevant certifications in AI, machine learning, or data science are a plus.

Technical Skills:

• Strong programming skills in languages like Python, R,
• C#, React, NextJS is a plus.
• Proficiency in machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn.
• Experience with data visualization tools and techniques.
• Experience in building with Autonomous Agents, Retrieval-Augmented Generation (RAG) technologies, LangChain, or Semantic Kernel.
• Proficiency in cloud platforms such as AWS, Azure, and other similar technologies.

Analytical Skills: Ability to analyze complex data sets, identify patterns, and derive meaningful insights. Strong knowledge of statistical analysis, predictive modeling, and machine learning algorithms.