Generative AI Engineer

Techify Solutions Pvt Ltd

1 - 2 years

0 Lacs

ahmedabad gujarat india

Posted:2 months ago| Platform:

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Skills Required

ai ml developer learning data model deployment processing test visualization design collaboration scalability efficiency regression clustering graphs reasoning numpy rest flask fastapi aws azure git vision analytics etl collaborative

Work Mode

On-site

Job Type

Full Time

Job Description

Designation:

Location:

Job Summary:

We are looking enthusiastic AI/ML Developer with 1 to 2 years of relevant experience in machine learning and artificial intelligence. The candidate should be well-versed in designing and developing intelligent systems and have a solid grasp of data handling and model deployment.

Key Responsibilities:

Develop and implement machine learning models tailored to business needs.
Conduct data collection, cleaning, and pre-processing for model readiness.
Train, test, and optimize models to improve accuracy and performance.
Work closely with cross-functional teams to deploy AI models in production environments.
Perform data exploration, visualization, and feature selection
Stay up-to-date with the latest trends in AI/ML and experiment with new approaches.
Design and implement Multi-Agent Systems (MAS) for distributed intelligence, autonomous collaboration, or decision-making.
Integrate and orchestrate agentic workflows using tools like Agno, CrewAI or LangGraph.
Ensure scalability and efficiency of deployed solutions.
Monitor model performance and perform necessary updates or retraining.

Requirements:

Experience working with vector databases (Pinecone, Weaviate, Chroma) for RAG systems.
Good understanding of machine learning concepts, including classification, regression, clustering, and deep learning.
Knowledge of knowledge graphs, semantic search, or symbolic reasoning.
Proficiency in working with tools such as Pandas, NumPy, and data visualization libraries.
Hands-on experience deploying models using REST APIs with frameworks like Flask or FastAPI.
Familiarity with cloud platforms (AWS, Google Cloud, or Azure) for ML deployment.
Knowledge of version control systems like Git.
Experience with Natural Language Processing (NLP), computer vision, or predictive analytics.
Understanding of data pipelines and ETL processes.

✨ 5-day work week & flexible work hours

✨ Growth-focused journey with regular rewards & recognition

✨ Strong focus on learning & development

✨ Competitive, goal-driven, and collaborative culture

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