AI/ ML Engineer

Responsibilities:
• Design, Architect, and Develop software solutions based on suitable design patterns 
• Adopt new and emerging technologies to provide solutions
• Collaborate with cross-functional teams to understand business requirements and translate them into machine learning problems.
• Work alongside data scientists and software engineers to integrate machine learning models into production systems. 
• Identify technical issues and provide resolution.
• Design, develop, and implement machine learning models for various business applications, including predictive analytics, recommendation systems, natural language processing, and computer vision.
• Stay up to date with the latest advancements in AI and machine learning techniques. 
• Ensure that machine learning pipelines and systems are scalable, efficient, and robust 
• Excellent communication and interpersonal skills.

BE / Master’s in computer science

Critical Skills 
• Proven experience as a Machine Learning Engineer, AI Engineer, or similar role (typically 2+ years) 
• Experience writing software in Python, Scala, R, or similar. 
• Familiarity with cloud platforms like AWS, Google Cloud or Microsoft Azure for deploying models at scale. 
• Solid understanding of machine learning algorithms (supervised and unsupervised learning, deep learning, reinforcement learning, etc.) 
• Experience with data structures, algorithms, and software design. 
• Experience in using any LLM models in real-time projects. 
• Proven ability to work as part of cross-functional delivery teams in an Agile delivery environment. 
• Work in a dynamic, collaborative, non-hierarchical environment where your talent is valued over your job title or years of experience. 
• Strong problem-solving skills with the ability to think critically and creatively. 
• Ability to break down complex business problems into machine learning solutions. 
Desired skills 
• Experience with machine learning libraries and frameworks 
• Expertise in data manipulation and analysis 
• Experience with big data technologies. 
• STS (Speech to Text & Text to Speech) hashtag
hashtag#ASR (Automated Speech Recognition) Engine Exposure. 
• Great OO skills, including strong design patterns knowledge. 
• Familiarity with relational databases, NoSQL. 
• Out-of-the-box thinking, and in-depth problem-solving.