Seo Analyst 0-1 year Experience -Full time oppurtunity

Job Description

About the Role

We are seeking an experienced and hands-on Lead AI Engineer with 8-9 years of experience in developing, fine-tuning, and deploying machine learning and deep learning models, including Generative AI systems. The ideal candidate will have strong expertise in classification, anomaly detection, and time-series modeling, along with deep experience in Transformer-based architectures and modern LLM ecosystems.

This role requires technical leadership, architectural decision-making, and mentoring of AI engineers, while actively contributing to building scalable AI solutions. Expertise in model optimization, quantization, and Retrieval-Augmented Generation (RAG) pipelines is highly desirable.

Responsibilities

• Lead the design, development, and deployment of ML and deep learning models for classification, anomaly detection, forecasting, and natural language understanding tasks.
• Architect and build scalable AI and Generative AI solutions, including RAG pipelines for document search, Q&A, summarization, and enterprise knowledge systems.
• Design, train, and fine-tune deep learning models including RNNs, GRUs, LSTMs, and Transformer architectures (e.g., BERT, T5, GPT).
• Drive the fine-tuning and adaptation of large language models (LLMs) using techniques such as Supervised Fine-Tuning (SFT) and Parameter-Efficient Fine-Tuning (PEFT) methods like LoRA or QLoRA.
• Apply model optimization techniques such as quantization, pruning, and efficient inference strategies to improve latency and reduce compute and memory footprint in production systems.
• Define and implement evaluation frameworks, track model performance, monitor model drift, and drive continuous model improvement.
• Lead collaboration with data engineering, backend, platform, and DevOps teams to productionize AI solutions using scalable infrastructure and CI/CD pipelines.
• Provide technical mentorship and guidance to junior and mid-level AI engineers and contribute to best practices in ML engineering.
• Ensure clean, reproducible code, maintain experiment tracking, documentation, and version control of models and datasets.
• Stay up to date with the latest advancements in LLMs, Generative AI, and AI infrastructure, and help drive adoption of new technologies.

Required Skills & Qualifications

• 8-9 years of hands-on experience in machine learning, deep learning, or data science roles.
• Strong programming expertise in Python and ML/DL libraries such as scikit-learn, pandas, PyTorch, and TensorFlow.
• Deep understanding of machine learning algorithms, deep learning architectures, and sequence/NLP modeling techniques.
• Extensive experience with Transformer models and open-source LLM ecosystems (e.g., Hugging Face Transformers).
• Hands-on experience building Generative AI applications and RAG-based systems using frameworks such as LangChain or LlamaIndex.
• Experience with model optimization and quantization techniques (dynamic/static quantization, INT8, etc.) for efficient inference.
• Strong understanding of embeddings, vector databases, and retrieval systems (e.g., FAISS, Pinecone, Azure AI Search).
• Experience with model evaluation, monitoring, and performance optimization in production environments.
• Familiarity with containerization (Docker), experiment tracking (MLflow), and CI/CD pipelines.
• Proven ability to lead technical initiatives and mentor engineering teams.

Preferred Qualifications

• Experience fine-tuning LLMs using SFT, LoRA, or QLoRA on domain-specific datasets.
• Exposure to MLOps platforms such as SageMaker, Vertex AI, or Kubeflow.
• Experience with distributed data processing frameworks like Spark and workflow orchestration tools such as Airflow.
• Contributions to research papers, technical blogs, patents, or open-source projects in ML, NLP, or Generative AI.
• Experience designing enterprise-scale AI platforms or AI-powered products.

We are looking for a dynamic and result-oriented Business Development Executive with hands-on experience in IT services sales and lead generation.

Key Responsibilities:

• Handling bidding portals (Upwork, Freelancer, Guru, etc.)
• Lead generation through Email Marketing & LinkedIn
• Client communication & proposal writing
• Requirement understanding & coordination with technical team
• Follow-ups and deal closure

Required Skills:

• Experience in bidding portals
• Practical knowledge of Email Marketing campaigns
• Excellent communication & negotiation skills
• Basic understanding of IT services (Web, Mobile App, AI/ML, etc.)
• Target-oriented and self-motivated

Role Must Have's

• Startup Hiring Experience in both Tech and Non Tech domains
• 2 years + Experience
• Demonstrated experience in closing mid and senior roles at startups
• Demonstrated experience in using LinkedIn recruiter, GitHub, and social media channels for recruiting
• Excellent communication and interpersonal skills
• Nice to Have: Computer Science Academic Background

Responsibilities

• Build an effective candidate pipeline through Inbound/Outbound sourcing channels with minimal dependency
• Co-ordinate for interview panel, schedule interviews, and run debriefs efficiently
• Be able to recruit active/passive candidates for Tech roles
• Possess strong ability to pre-screen interview candidates
• Build and maintain a network of potential candidates through pro-active market research and ongoing relationship management
• Communicate well with the hiring manager and stakeholders to ensure an effective interview process.

Behaviors & Experiences

• Independently Driven
• Experience managing and prioritizing multiple searches, projects, and client relationships
• High Learning Agility
• Extraordinarily Conscientious

 Position holder will be an individual contributor

 Build and manage productive, professional relationships with clients

using telephonic and/or video conversations

 Ensure clients are using and deriving benefit from IndiaMART

 Ensure products/services in client’s e-catalog are accurately defined

 Maximize revenue by upselling other services and achieve

fortnightly, monthly client retention and revenue targets

 Systematic follow-up and time-bound closures

 Prompt resolution of complaints

 Daily 10-15 meaningful telephone/video calls with clients

• Apply knowledge of Javascript (ES6) including all the latest features
• Usage of third party libraries for Maps, UI scaling, Styles, Secure storage, Permissions, Navigation, Splash screen, Network. Analytics. Push notifications, Localization, Calendar, etc.
• Build and run apps using Xcode, and Android Studio
• Persistence support using frameworks like Realm
• Comprehend performance issues and solve them
• Knowledge of Git (including merging, branching and resolving merge conflicts)

• Ability to create flexbox driven UI layout
• Configuring ESLint for JS code linting
• Being aware of alternate state management mechanisms like MobX
• Is proficient in either iOS or Android programming too.

• Knowledge of all aspects of React framework
• Components, containers, JSX specification of component UI layout, Component lifecycle
• Props and State mechanism used for data flow
• Various kinds of views (text, button, scroll view, flat list, etc.)
• Navigation
• RN animations and gesture system fundamentals
• Redux state management library
• React Router usage
• JSON/XML parsing