IT Business Analyst ( Higher Percentage Background) - Fresher

Position: Machine Learning Engineer 

Job Type: Full Time, Permanent 

Location : Baner, Pune 

We are looking for a visionary Machine Learning Engineer to bridge the gap between cutting-edge research and real-world applications. In this role, you won’t just be training models; you will be architecting the visual intelligence that powers our next generation of products. You will join a high-impact team dedicated to solving complex spatial and visual problems at scale. 

What You’ll Do 

• Architect & Innovate: Own the journey from research to production-ready computer vision pipelines. 
• Optimize Performance: Build high-speed deep learning models for real-time detection and recognition. 
• Lead with Data: Curate massive datasets and apply advanced engineering to maximize model accuracy. 
• Collaborate & Integrate: Partner with cross-functional teams to embed AI insights into core products. 
• Stay Ahead: Proactively prototype SOTA architectures to keep our solutions at the cutting edge. 
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What We’re Looking For 

• Expert in Python and OpenCV. You are framework-agnostic but a power user of PyTorch or TensorFlow. 
• 2–5 years of shipping ML products. You know how to move beyond research notebooks into scalable production code. 
• A problem solver obsessed with robust, explainable AI and clean, rigorous validation. 
• Strong mastery of the math behind CV—specifically geometry, linear algebra, and optimization. 

Job Descriptions:

1. Job Requirement

We are seeking a highly skilled Senior Generative AI Developer to join our AI/ML team. This role focuses on leveraging cutting-edge Generative AI (GenAI) technologies to drive innovation and efficiency in software development and business processes. The ideal candidate will work on advanced techniques such as Retrieval-Augmented Generation (RAG), document chunking, and data embedding across multiple vector databases. They will collaborate closely with cross-functional teams to design, implement, and optimize AI-driven solutions, with exposure to cloud-native AI platforms like Amazon Bedrock and Microsoft Azure OpenAI considered a plus.

Responsibilities:

• Develop and deploy GenAI-based applications to solve complex business problems.
• Implement RAG frameworks to enhance information retrieval and response accuracy.
• Design and optimize document chunking strategies tailored to specific data types and use cases.
• Build and manage data embeddings using various vector databases for high-performance similarity searches.
• Collaborate with data engineers and scientists to integrate AI solutions seamlessly into existing pipelines.
• Explore and implement best practices for leveraging Amazon Bedrock and Azure OpenAI services.
• Stay updated on emerging trends and technologies in the GenAI and AI/ML landscape.

2. Required Technical Skillsets

Mandatory Skills:

• Proficiency in Generative AI frameworks and technologies like
• Prompt Engineering – creating specific prompts to guide LLM outputs
• Fine Tuning and Few-Shot learning – Adapting LLMs for domain-specific tasks.
• Retrieval-Augmented Generation (RAG) – Combining LLMs with external data retrieval systems
• Text-to-Text Transfer Transformation (T5) – Framework for translating tasks into text forms.
• Expertise in designing and implementing chunking strategies for diverse datasets.
• Strong knowledge of data embedding techniques and working experience with vector databases like Pinecone, Weaviate, or Milvus.
• Solid programming skills in Python, with experience in AI/ML libraries such as TensorFlow, PyTorch, or Hugging Face Transformers.
• Familiarity with cloud platforms and services for AI/ML workloads (AWS or Azure).
• Experience with API integration for AI services and building scalable applications.

Desirable Skills:

• Hands-on experience with Amazon Bedrock and/or Microsoft Azure OpenAI services.
• Knowledge of natural language processing (NLP) techniques and large language model (LLM) fine-tuning.
• Exposure to different chunking strategies, including overlap and semantic segmentation.
• Understanding of DevOps practices for deploying and managing AI models in production.
• Strong problem-solving and analytical skills with a focus on delivering value-driven solutions.

Skill Set : Middleware application support :

Tomcat, Apache , Jenkin CI /CD pine ,monitoring on Linux on premise Servers (not cloud experience)

Hands on experience on VMware vSphere, Horizon, UEM & Appstack

Installation Experience in HCI (VMware vSAN, VxRail, Cisco HyperFlex, Nutanix etc.,)

Knowledge on Networking

experience in supporting customers based on the ticket assignment.

Troubleshooting knowledge on all the above technologies.

Good Learning capabilities and enthusiasm in enabling on new technologies.