AI / ML Engineer

Immediate hiring for a Hitachi group company - MNC

Role:

Experience:

Notice Period: 15 - 20 Days Maximum

Job location:

Work Mode:

Summary of the position: This position is responsible for designing, building, and deploying the machine learning models, focusing on the practical implementation of AI solutions, including data preparation, model training, deployment, and ongoing maintenance and optimisation.

Qualifications:

Technical Skills:

Programming Languages:

Required:

Expert-level proficiency in Python. Strong understanding of its ecosystem for

data science and machine learning (e.g., NumPy, Pandas, Scikit-learn, Matplotlib,

Seaborn).

Preferred:

Experience with other languages relevant to data engineering or deployment

(e.g., Python, Node.js, React.js, Java - to some extent).

AI/ML Frameworks and Libraries:

o Required:

Deep understanding and practical experience with at least one major deep

learning framework (e.g., TensorFlow, PyTorch)

Solid understanding and practical experience with classical machine learning

algorithms and Predictive Analytics.

Preferred:

Experience with libraries for Natural Language Processing (NLP) (e.g., NLTК,

SpaCy, Transformers library from Hugging Face) and computer vision (e.g., OpenCV,

Pillow).

Generative AI:

o Required:

Experience with developing and deploying generative AI models using services

like AWS Bedrock (e.g., for text generation, image generation, embeddings,

Function Calling, AI Agents, MCP Server, LLMs like OpenAI).

Understanding of prompt engineering techniques for large language models.

Software Development Practices:

o Required:

• Proficiency in writing clean, well-documented, and testable code.

• Experience with version control systems (e.g., Git).

Preferred:

Understanding of software development methodologies (e.g., Agile, Scrum).

Education:

Bachelor's degree in a related field like Computer Science, Engineering, or Data Science.

Professional experience:

Candidates should have a Total of 5-7 years of Experience

Worked on 3 to 4 AI/ML projects and should be involved in design, development &

deploying learning models and systems. Designed and implemented a scalable machine learning pipeline for systems that deal with huge volumes of data. Like FedEx or 911 systems

Job Responsibilities

Duties and responsibilities:

Model Development:

o Design and develop machine learning systems and models.

o Research and implement appropriate machine learning algorithms and tools.

o Select and prepare datasets for training and testing.

о Train and retrain models as needed.

Data Handling:

Ο Analyse and preprocess data for model training.

o Build and maintain data pipelines for efficient data flow.

이 Identify and address data quality issues.

Deployment and Monitoring:

o Deploy models to production environments.

o Monitor model performance and identify areas for improvement.

o Manage and maintain deployed models.

o Evaluate potential risks of AI/ML use cases and implement appropriate safeguards.

Collaboration and Communication:

o Work with data scientists, software engineers, and other stakeholders.

o Communicate technical findings and recommendations clearly.

o Understand business needs and translate them into technical solutions.

Infrastructure and Tools:

o Build and maintain the infrastructure required for machine learning model deployment.

o Stay up-to-date with the latest machine learning tools and technologies.

Problem-Solving:

o Identify and solve technical challenges related to machine learning model development

and deployment.

o Analyse model errors and design strategies to overcome them.

Ethical Considerations: Ensure that AI/ML systems are developed and deployed responsibly and

ethically.