Artificial Intelligence Engineer

Job Description

NP- immediate

Location-Technopark, Trivandrum

Experience- 5+ years (Mandatory)

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 Joiner preferred