AI-ML Lead Engineer @ Eximietas Design

• You enjoy solving problems. You love taking on difficult challenges and finding creative solutions.
• You dont know the answer but will dig until you find it.
• You communicate clearly. You write well.
• You are motivated and driven. You volunteer for new challenges without waiting to be asked. You will take ownership of the time you spend with us and make a difference.
• You can impress our customers with your enthusiasm to solve their issues (and solve them!)

Job Description

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 drives business value.

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 OR Design and implement projects that are tailored to Computer Vision tasks, such as Image Classification, Object detection, Image segmentation.
• 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

• Bachelors or masters degree in computer science, Machine Learning, Data Science or a related field.
• At least 5 to 8 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 OR Proficiency in Computer Vision tasks including and not limited to Object detection, Image segmentation, Image classification.
• 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 or R.
• Familiarity with popular AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• 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.