Artificial Intelligence Developer

Job Title: Artificial Intelligence Engineer

• Key Responsibilities:

• Data Science & Machine Learning:

• Design, develop and deploy advanced machine learning models to solve complex business problems.
• Implement and optimize Large Language Models (LLMs) for real-world applications.
• Build agent-based AI systems with autonomous decision-making capabilities.
• Conduct cutting-edge research on emerging AI technologies and explore their practical applications.
• Perform model evaluation, validation and continuous optimization to ensure high performance.

• Cloud Infrastructure & Development:

• Architect and implement scalable cloud-native solutions using AWS, Azure or GCP.
• Develop full-stack applications that seamlessly integrate AI models with modern web technologies.
• Build and maintain robust ML pipelines using cloud services.
• Implement CI/CD pipelines to streamline ML model deployment and monitoring processes.
• Design and optimize cloud infrastructure to support high-performance computing workloads.

• Data Engineering & Database Management:

• Design and implement data pipelines to enable large-scale data processing and real-time analytics.
• Work with both SQL and NoSQL databases to manage structured and unstructured data.
• Optimize database performance to support machine learning workloads and real-time applications.
• Implement robust data governance frameworks and ensure data quality assurance practices.
• Manage and process streaming data to enable real-time decision-making.

• Leadership & Collaboration:

• Mentor junior data scientists and assist in technical decision-making to drive innovation.
• Collaborate with cross-functional teams to develop solutions that align with organizational goals.
• Present findings and insights to both technical and non-technical audiences in a clear and actionable manner.
• Lead proof-of-concept projects and innovation initiatives to push the boundaries of AI/ML applications.

Required Qualifications:

• Education & Experience:

• Master's or PhD in Computer Science, Data Science, Statistics, Mathematics or a related field.
• 5+ years of hands-on experience in data science and machine learning, with a focus on real-world applications.
• 3+ years of experience working with deep learning frameworks and neural networks.
• 2+ years of experience with cloud platforms and full-stack development.

• Technical Skills - Core AI/ML:

• Machine Learning:

• Proficient in Scikit-learn, XGBoost, LightGBM and advanced ML algorithms.

• Deep Learning:

• Expertise in TensorFlow, PyTorch, Keras, CNNs, RNNs, LSTMs and Transformers.

• Large Language Models:

• Experience with GPT, BERT, T5 fine-tuning and prompt engineering.

• Generative AI:

• Hands-on experience with Stable Diffusion, DALL-E text-to-image and text generation models.

• Agentic AI:

• Knowledge of multi-agent systems reinforcement learning and autonomous agents.

• Technical Skills - Development & Infrastructure:

• Programming:

• Expertise in Python with proficiency in R Java Scala JavaScript TypeScript.

• Cloud Platforms:

• Proficient with AWS SageMaker EC2 S3 Lambda Azure ML or Google Cloud AI.

• Databases:

• Proficiency with SQL PostgreSQL MySQL and NoSQL MongoDB Cassandra DynamoDB.

• Full-Stack Development:

• Experience with React Vue.js Node.js FastAPI Flask Docker Kubernetes.

• MLOps:

• Experience with MLflow Kubeflow model versioning and A/B testing frameworks.

• Big Data:

• Expertise in Spark Hadoop Kafka and streaming data processing.

Non Negotiables:

• Cloud Infrastructure ML/AI solutions on AWS Azure or GCP.
• Build and maintain ML pipelines using cloud services SageMaker ML Engine etc.
• Implement CI/CD pipelines for ML model deployment and monitoring.
• Work with both SQL and NoSQL databases PostgreSQL MongoDB Cassandra etc.
• Machine Learning Scikit-learn.
• Deep Learning TensorFlow.
• Programming Python expert R Java Scala JavaScript TypeScript.
• Cloud Platforms AWS SageMaker EC2 S3 Lambda.
• vector databases and embeddings Pinecone Weaviate Chroma.
• Knowledge of LangChain LlamaIndex or similar LLM frameworks.