As an AI/ML Engineer at Eximietas, you will be responsible for designing, implementing and managing strategic

consulting projects that leverage Machine Learning, Deep Learning including Generative AI algorithms. You

will work closely with clients to understand their business processes and requirements, conduct proof of

concepts (POCs) and convert POCs to long term strategic engagements to deliver cutting-edge AI/ML solutions that drive business value.

Key Responsibilities:

• Collaborate with clients to understand their business processes, goals, and requirements.

• Design and implement AI/ML solutions using state-of-the-art techniques and methodologies.

• Conduct proof of concepts (POCs) and pilots to validate the feasibility and effectiveness of AI/ML solutions.

• Work with cross-functional teams to map AI/ML solutions to client business processes.

• Perform data analysis, data preprocessing, and feature engineering as needed.

• Conduct hypothesis testing, feature extraction, feature selection, cross-validation.

• Develop and deploy machine learning models in a production environment.

• Apply Natural Language Processing (NLP) techniques such as topic modelling, entity extraction,summarization and sentiment analysis to relevant projects

● Good understanding of LLMs. Experience with RAG based frameworks, agentic frameworks.

● Experience with fine tuning open sourced LLMs like Mistral, LLAMA for domain specific tasks.

• Communicate findings and insights effectively to both technical and non-technical stakeholders.

• Ensure project deliverables meet high-quality standards and are completed on time and within budget.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science or a related field.

• At least 3 to 5 years of hands-on experience in designing and delivering AI/ML solutions.

• Good understanding of concepts involving Probability, Statistics, Linear Algebra, Programming and basics

of Machine Learning

• Strong expertise in NLP tasks, including and not limited to Topic modelling, Entity Extraction,

Summarization and Sentiment analysis

• Experience working within a cloud solutions environment such as AWS, Azure or Google Cloud. Familiarity

with Cloud AI services and tools is a plus.

• Proficiency in programming languages such as Python.

• Familiarity with popular AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn, HuggingFace).

• Familiarity with MLOps is a plus

• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.

• Strong communication and presentation skills