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