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. Qualifications 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) #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. Personal skills • Result- and outcome-orientation • High degree of enthusiasm, dynamism, and drive to succeed • Capacity for hard work and perseverance • Maturity to collaborate with peers to achieve overall success • Capability to nurture and motivate direct reports to high success Send resume at

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