AI ML Engineer

Covasant Technologies; Hyderabad; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Covasant Technologies in Hyderabad, India is seeking a skilled AI/ML Engineer to design, build and deploy ML models for enterprise clients. You will work with GenAI-powered solutions, embeddings, vector databases, and prompt engineering, collaborating with data engineers, software teams, and business analysts to deliver production-grade models.

The role emphasizes data wrangling, feature engineering, model training, and MLOps-based deployment and monitoring in modern cloud environments.

Qualifications

• 3-5 years of experience building ML/DL models and pipelines.
• Solid understanding of ML algorithms (classification, regression, clustering, etc.).
• Experience with GenAI, LLM APIs, prompt engineering, and knowledge retrieval.
• Proficiency in Python and ML libraries like scikit-learn, TensorFlow, PyTorch.
• Hands-on experience with GCP tools for AI/ML (Vertex AI, BigQuery ML, AutoML).
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Design, build, and test machine learning models for a variety of business problems.
• Leverage services such as Vertex AI, BigQuery ML, AutoML, and AI Platform
• Work on GenAI-based solutions leveraging LLMs, embeddings, vector databases, and prompt engineering
• Perform data wrangling, feature engineering, model training, tuning, and evaluation
• Collaborate with cross-functional teams including data engineers, software developers, and business analysts
• Deploy and monitor models in production environments using MLOps practices

Skills

ML/DL modeling

ML algorithms

GenAI / LLM APIs

Python & ML libraries

GCP AI tools

Analytical communication

Tools

Vertex AI

BigQuery ML

AutoML

LangChain

Transformers

CI/CD for ML

Job description

We are hiring a skilled and passionate AI/ML Engineer to develop and deploy AI/ML models for enterprise customers. You will be part of a collaborative team building intelligent systems using the latest advancements in machine learning and generative AI.

Key Responsibilities

• Design, build, and test machine learning models for a variety of business problems
• Leverage services such as Vertex AI, BigQuery ML, AutoML, and AI Platform
• Work on GenAI-based solutions leveraging LLMs, embeddings, vector databases, and prompt engineering
• Perform data wrangling, feature engineering, model training, tuning, and evaluation
• Collaborate with cross-functional teams including data engineers, software developers, and business analysts
• Deploy and monitor models in production environments using MLOps practices

Required Skills and Experience

• 3-5 years of experience building ML/DL models and pipelines
• Solid understanding of ML algorithms (classification, regression, clustering, etc.)
• Experience with GenAI, LLM APIs, prompt engineering, and knowledge retrieval
• Proficiency in Python and ML libraries like scikit-learn, TensorFlow, PyTorch
• Hands-on experience with GCP tools for AI/ML (Vertex AI, BigQuery ML, AutoML)
• Strong analytical, problem-solving, and communication skills

Preferred Qualifications

• Exposure to LLM frameworks like LangChain, Hugging Face Transformers
• Experience with containerization, APIs, and deploying models using CI/CD pipelines
• Knowledge of MLOps tools and practices