Covasant Technologies
AI ML Engineer
Builds and deploys machine learning and generative AI models for enterprise customers at Covasant Technologies in Hyderabad. Day to day involves data wrangling, model training/tuning, GCP AI services (Vertex AI, BigQuery ML, AutoML), LLM/embedding solutions, and production MLOps.
- Compensation
- ₹1.5M–₹3M / yr
- Location
- Hyderabad
- Work setup
- Onsite
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Ml / AI
- Posted
Skills
Must have
- 2+ years of experience building ML/DL models and pipelines
- Solid understanding of ML algorithms (classification, regression, clustering)
- Experience with GenAI, LLM APIs, prompt engineering, and knowledge retrieval
- Proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch)
- Hands-on experience with GCP AI/ML tools (Vertex AI, BigQuery ML, AutoML)
- Strong analytical, problem-solving, and communication skills
Nice to have
- Exposure to LLM frameworks like LangChain, Hugging Face Transformers
- Experience with containerization, APIs, and deploying models via CI/CD pipelines
- Knowledge of MLOps tools and practices
Full description
Job descriptionWe 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 practicesRequired Skills and Experience
- 2+ 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 skillsPreferred 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