Artificial Intelligence Engineer

Here's a comprehensive job description for an AI Engineer role in Bangalore with 4-8 years of experience, incorporating key responsibilities, skills, and market insights for the region:

Job Title: AI Engineer (Mid-Senior Level)

Location: Bangalore, India

Experience: 4 - 8 Years

About Us: (Insert a brief, engaging paragraph about your company. Highlight your mission, what makes your company unique, your culture, and how AI is integral to your business. For example: "At (Company Name), we are at the forefront of innovation, leveraging cutting-edge Artificial Intelligence to revolutionize (industry/problem space). Join our dynamic and collaborative team in Bangalore, where you'll have the opportunity to shape the future of our products and services through intelligent solutions.")

The Role: We are seeking a highly motivated and experienced AI Engineer to join our growing team in Bangalore. The ideal candidate will have a strong passion for Artificial Intelligence, Machine Learning, and Deep Learning, with a proven track record of designing, developing, and deploying robust and scalable AI solutions. You will play a crucial role in transforming complex business challenges into innovative AI-driven products and features.

Key Responsibilities:

• Model Development & Implementation: Design, develop, train, and deploy state-of-the-art machine learning and deep learning models (including LLMs and Generative AI frameworks) to solve complex business problems.
• Data Pipelining & Engineering: Build and optimize data ingestion, preprocessing, and feature engineering pipelines to ensure high-quality data for AI models. Work with large-scale datasets from various sources.
• Algorithm Optimization: Optimize AI algorithms for performance, scalability, and efficiency, leveraging cloud-based resources and distributed computing frameworks (e.g., Spark, Hadoop).
• System Integration: Integrate AI solutions with existing products, services, and infrastructure through robust APIs and other integration mechanisms.
• Research & Innovation: Stay abreast of the latest advancements in AI, machine learning, and deep learning research. Proactively explore and implement new techniques and tools to enhance our AI capabilities.
• Collaboration & Communication: Collaborate effectively with cross-functional teams, including data scientists, software engineers, product managers, and business stakeholders, to understand requirements, translate business needs into technical solutions, and communicate complex technical concepts clearly.
• Prototyping & Testing: Develop prototypes, conduct rigorous testing, and troubleshoot issues to ensure the reliability, accuracy, and ethical considerations of AI-driven applications.
• MLeOps & Productionization: Contribute to the development and maintenance of MLOps practices, ensuring seamless deployment, monitoring, and management of AI models in production environments.
• Code Quality: Actively participate in code reviews, contributing to a high standard of code quality, maintainability, and best practices.

Required Skills & Qualifications:

• Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Experience: 4 to 8 years of hands-on experience in AI/ML engineering, with a strong portfolio of successful projects.
• Programming Proficiency: Expert-level proficiency in Python. Experience with other languages like Java, Scala, or C++ is a plus.
• Machine Learning & Deep Learning Frameworks: Strong hands-on experience with popular frameworks such as TensorFlow, PyTorch, Keras.
• Core AI/ML Concepts: Deep understanding of various machine learning algorithms (supervised, unsupervised, reinforcement learning), neural networks (CNNs, RNNs, Transformers), and statistical modeling.
• Data Expertise: Proficiency in data manipulation, cleaning, analysis, and visualization. Experience with SQL and NoSQL databases.
• Big Data Technologies: Experience with big data tools like Apache Spark, Hadoop, or similar distributed computing frameworks.
• Cloud Platforms: Hands-on experience with at least one major cloud platform (AWS, GCP, or Azure), including their AI/ML services.
• Version Control: Proficient in using Git for version control and collaborative development.
• Problem-Solving: Excellent analytical and problem-solving skills with the ability to tackle complex, ambiguous challenges creatively.
• Communication: Strong interpersonal and communication skills, both written and verbal, to effectively collaborate with technical and non-technical stakeholders.

Preferred Skills (Bonus Points):

• Experience with Generative AI (Gen AI), Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and agentic frameworks (e.g., LangChain, LlamaIndex).
• Familiarity with MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI).
• Experience in Natural Language Processing (NLP), Computer Vision, or other specialized AI domains.
• Knowledge of software development best practices (e.g., clean code, unit testing, CI/CD).

What We Offer:

• Opportunity to work on cutting-edge AI problems with a significant impact.
• A collaborative and innovative work environment.
• Continuous learning and development opportunities.
• Competitive salary and benefits package (commensurate with experience).
• A chance to be part of a rapidly growing team in the heart of Bangalore's tech hub.