About Job/Role

We are seeking a dynamic AI & Machine Learning Engineer to join our team with 1-4 Years of experience.
The role focuses on implementing AI and machine learning solutions on cloud-based platforms and applying engineering principles from classical software development to AI/ML.
Candidates will develop proofs-of-concept, collaborate with internal and external stakeholders, and transition AI/ML concepts to production.
The role requires staying up-to-date with emerging trends in AI and machine learning.

Roles and Responsibilities

Develop AI & Machine Learning solutions on cloud-based platforms
Identify, access, import, clean, and format data from various sources
Implement research findings and custom models effectively
Construct backend systems to interface with other microservices
Train and optimize machine learning models for optimal performance
Engineer scalable machine intelligence systems and infrastructure for real-world deployment
Justify the application of AI/ML solutions based on problem statements
Prototype solutions efficiently and deliver results promptly
Manipulate data using SQL and scripting languages
Collaborate with internal and external teams to design and deploy AI & ML solutions
Explore emerging AI & Machine learning trends and develop prototypes
Demonstrate effective communication and teamwork skills

Required Qualification

Proven experience in leading AI projects
Proficiency in cloud deployment of AI solutions (AWS, GCP, or Azure)
Familiarity with LangChain, advanced RAG applications, and Vector databases
Experience in developing advanced Gen AI solutions
Strong analytical skills including data pre-processing and various ML techniques
Expertise in model building, optimization, and data visualization
Knowledge of major ML algorithms for Natural Language Processing, Computer Vision & Graph Networks
Hands-on experience with cloud platforms like AWS/Microsoft Azure
Proficient in SQL query development
Familiarity with data platforms such as Snowflake is advantageous
Knowledge of MLOps (Machine Learning Operations) is a plus
Experience in advanced Computer Vision model development is beneficial
Practical experience in deep learning projects is highly valued
Ability to enhance the accuracy, runtime, scalability, and reliability of machine intelligence systems
Proficient in understanding underlying mathematical concepts and algorithms
Enthusiasm for continuous learning of state-of-the-art techniques in ML/Data science

Skills

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