AI ML Engineer

Job Overview:

• We are looking for an enthusiastic AI and Machine Learning Engineer with 1 to 3 years of experience in designing, developing, and deploying innovative AI and ML solutions.
• The ideal applicant should demonstrate strong programming expertise, practical experience with ML frameworks, proficiency in data preprocessing, and hands-on involvement in model development and deployment within cloud platforms.

Primary Responsibilities:

• Create, train, evaluate, and deploy machine learning and deep learning models effectively.
• Design AI-driven applications leveraging NLP, Computer Vision, Generative AI, and predictive analytics techniques.
• Execute data collection, cleansing, feature engineering, and model tuning to optimize performance.
• Assess model effectiveness using relevant metrics and enhance accuracy as needed.
• Handle both structured and unstructured datasets to solve complex business problems.
• Develop APIs and seamlessly integrate ML models into production systems.
• Collaborate closely with data scientists, software engineers, and business stakeholders to deliver solutions.
• Continuously monitor deployed AI models' performance and perform maintenance to ensure reliability.
• Document architecture designs, experimental results, and deployment procedures thoroughly.

Technical Skill Set:

• Proficiency in Python programming language
• Knowledge of Machine Learning algorithms including Regression, Classification, and Clustering
• Experience with Deep Learning frameworks such as TensorFlow, PyTorch, and Keras
• Data analysis skills utilizing Pandas and NumPy
• Database management and SQL expertise
• Data visualization capabilities using tools like Matplotlib, Seaborn, and optionally Power BI
• Experience with REST API development and ML model deployment
• Version control proficiency using Git

Additional Responsibilities:

• Implement Natural Language Processing (NLP) techniques
• Work on Computer Vision projects
• Develop applications involving Generative AI and Large Language Models (LLMs)
• Engage in Prompt Engineering to optimize AI interactions
• Utilize AI orchestration frameworks such as LangChain or similar tools
• Manage and work with Vector Databases like FAISS, Pinecone, or ChromaDB

Preferred Skills and Expertise:

• Proficiency in AI and ML Solution Architecture and Design
• Strong foundation in traditional AI and ML techniques and methodologies