AI/ML Engineer

12 hours ago


Coimbatore, Tamil Nadu, India VentraGate Full time ₹ 6,00,000 - ₹ 18,00,000 per year

Company Description

VentraGate is a Cloud-focused solutions and services firm specializing in driving digital transformation and developing cloud-based technologies that users love to interact with. As a leading transformation consultancy, VentraGate partners with businesses of all sizes to foster innovation, enhance agility, and maintain competitiveness. The company is dedicated to helping organizations embrace cutting-edge technologies to achieve their strategic goals effectively.

Key Responsibilities

● Design, develop, and deploy Al/ML models with a strong focus on Generative Al (LLMs,

diffusion models, multimodal Al).

● Build, fine-tune, and evaluate large language models for domain-specific applications.

● Develop agentic Al systems (autonomous/assistive agents) capable of reasoning,

planning, and tool use.

● Integrate AI/ML models into production systems, APIs, and applications.

● Conduct experiments, benchmark models, and optimize for scalability, efficiency, and

cost.

● Write clean, modular, and well-documented code for ML pipelines and Al services.

● Implement best practices for model monitoring, observability, and troubleshooting in

production.

● Contribute to research exploration, technical discussions, and knowledge sharing within

the Al/ML team.

What We're Looking For

● 1-2 years of experience as an Al/ML Engineer.

● Strong hands-on expertise with Python and popular ML/Al frameworks (PyTorch,

TensorFlow, Hugging Face).

● Solid understanding of Generative Al concepts (LLMs, embeddings, prompt engineering,

RAG).

● Familiarity with agentic Al frameworks (LangChain, Llamalndex, Haystack, AutoGen,

etc.).

● Experience in building, fine-tuning, or deploying transformer-based models.

● Knowledge of vector databases (Pinecone, Weaviate, FAISS, Milvus).

● Understanding of cloud platforms (AWS, GCP, Azure) and containerization (Docker,

Kubernetes).

● Strong foundation in data structures, algorithms, and ML fundamentals.

● Excellent problem-solving, debugging, and communication skills.

Nice to Have

● Experience with reinforcement learning, multi-agent systems, or Al reasoning

frameworks.

● Knowledge of MLOps tools (MLflow, Weights & Biases, Kubeflow).

● Exposure to multimodal Al (text, image, audio, video)


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