AI Engineer

We are seeking a highly skilled and experienced Senior AI Engineer with a minimum of 5 years of hands-on experience in designing, developing, and deploying robust Artificial Intelligence and Machine Learning solutions. The ideal candidate will be a strong problem-solver, adept at translating complex business challenges into scalable AI models, and capable of working across the entire AI/ML lifecycle, from data acquisition to model deployment and monitoring. This role requires a deep understanding of various AI techniques, strong programming skills, and a passion for staying updated with the latest advancements in the field.

Key Responsibilities

• AI/ML Solution Design & Development:
  

○ Lead the design and development of innovative and scalable AI/ML models and algorithms to address specific business needs and optimize processes.
○ Apply various machine learning techniques including supervised, unsupervised, and reinforcement learning, deep learning, natural language processing (NLP), and computer vision.○ Collaborate with data scientists, product managers, and other stakeholders to understand business requirements and translate them into technical specifications.

• Data Management & Preprocessing:
  

○ Oversee the collection, preprocessing, cleaning, and transformation of large and complex datasets to prepare them for AI model training.
○ Implement efficient data pipelines and ensure data quality and integrity.○ Perform exploratory data analysis to uncover insights and inform model development.

• Model Training, Evaluation & Optimization:
  

○ Train, fine-tune, and evaluate AI/ML models for optimal accuracy, performance, and generalization.
○ Select the most suitable models and algorithms for specific tasks and optimize hyperparameters.○ Conduct rigorous testing and debugging of AI systems to ensure reliability and desired outcomes.

• Deployment & MLOps:
  

○ Lead the productionization of AI/ML models, ensuring seamless integration with existing systems and applications.
○ Implement MLOps best practices for model versioning, deployment, monitoring, and retraining.○ Develop and maintain APIs for AI model integration.

• Research & Innovation:
  

○ Continuously research and evaluate the latest advancements in AI/ML research, tools, and technologies.
○ Propose and implement innovative solutions to complex problems.○ Contribute to the strategic direction of AI initiatives within the company.

• Collaboration & Mentorship:
  

○ Work collaboratively with cross-functional teams (e.g., software development, data science, product teams).○ Clearly articulate complex AI concepts to both technical and non-technical audiences.○ Mentor junior AI engineers and contribute to a culture of continuous learning.

Required Skills And Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field.
• Minimum of 5 years of professional experience as an AI Engineer, Machine Learning Engineer, or a similar role.
• Expert-level proficiency in at least one major programming language used for AI development, such as Python (preferred), Java, or C++.
• Extensive experience with popular AI/ML frameworks and libraries, such as TensorFlow, PyTorch, Keras, Scikit-learn, Hugging Face Transformers.
• Strong understanding of core machine learning concepts, algorithms, and statistical modeling (e.g., regression, classification, clustering, dimensionality reduction).
• Solid knowledge of deep learning architectures (e.g., CNNs, RNNs, Transformers) and their applications.
• Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy).
• Familiarity with database systems (SQL, NoSQL) and big data technologies (e.g., Apache Spark, Hadoop) for managing large datasets.
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/ML services for scalable deployment.
• Understanding of software development best practices, including version control (Git), testing, and code review.
• Excellent problem-solving skills, analytical thinking, and a data-driven approach.
• Strong communication and interpersonal skills, with the ability to explain technical concepts clearly.
• Ability to work independently and as part of a collaborative team in a fast-paced environment.
• Immediate Joinee preferred
  

Skills: ml,nosql,git,google cloud,hugging face transformers,design,c++,pandas,keras,python,machine learning,tensorflow,aws,numpy,azure,pytorch,java,apache spark,sql,data manipulation,hadoop,scikit-learn,artificial intelligence