Product Manager

Role Overview

We're looking for a highly motivated AI Intern to join our dynamic team. This isn't your average internship; you'll be diving headfirst into the exciting world of Natural Language Processing (NLP) and Large Language Models (LLMs). You will work on real-world projects, contributing directly to our core products by researching, developing, and fine-tuning state-of-the-art language models. If you're passionate about making machines understand and generate human language, this is the perfect role for you!

Skills Needed:

1. Python
2. ML
3. NLP
4. LLM Fine-Tuning
5. Fast API

What You'll Do (Key Responsibilities)

Develop & Implement LLM Models: Assist in building and deploying LLM solutions for tasks like sentiment analysis, text summarization, named entity recognition (NER), and question-answering.

Fine-Tune LLMs: Work hands-on with pre-trained Large Language Models (like Llama, GPT, BERT) and fine-tune them on our custom datasets to enhance performance for specific tasks.

Data Pipeline Management: Be responsible for data preprocessing, cleaning, and augmentation to create high-quality datasets for training and evaluation.

Experiment & Evaluate: Research and experiment with different model architectures and fine-tuning strategies (e.g., LoRA, QLoRA) to optimize for accuracy, speed, and cost.

Collaborate & Document: Work closely with our senior ML engineers and data scientists, actively participating in code reviews and clearly documenting your findings and methodologies.

Must-Have Skills (Qualifications)

Strong Python Proficiency: You live and breathe Python and are comfortable with its data science ecosystem (Pandas, NumPy, Scikit-learn).

Solid ML & NLP Fundamentals: A strong theoretical understanding of machine learning algorithms, deep learning concepts, and core NLP techniques (e.g., tokenization, embeddings, attention mechanisms).

Deep Learning Frameworks: Hands-on experience with either PyTorch or TensorFlow.

Familiarity with LLMs: You understand the basics of transformer architecture and have some exposure to working with or fine-tuning Large Language Models.

Problem-Solving Mindset: An analytical and curious approach to tackling complex challenges.

Educational Background: Currently pursuing or recently graduated with a degree in Computer Science, AI, Data Science, or a related technical field.

Brownie Points For (Preferred Skills)

Experience with the Hugging Face ecosystem (Transformers, Datasets, Tokenizers).

A portfolio of personal or academic projects on GitHub showcasing your AI/ML skills.

Familiarity with vector databases (e.g., Pinecone, ChromaDB).

We’re looking for an experienced AI Developer to join our team and drive the design, development, and deployment of advanced computer-vision and LLM-based solutions. You’ll build real-time object detection & tracking pipelines (LLM, YOLOv8/11), develop face-recognition models on video feeds with LLM support, and manage GPU-powered server infrastructure end-to-end.

Key Responsibilities

• Model Development & Optimization
• Design, train, and fine-tune LLMs, YOLOv8/11 models for multi-class object detection.
• Implement face-recognition pipelines leveraging state-of-the-art LLMs and embedding techniques.
• Optimize inference speed and accuracy for real-time video processing on GPUs.
• Video Analytics & Tracking
• Develop multi-camera object-tracking algorithms across disparate video sources.
• Integrate OpenCV, DeepSORT (or similar), and custom tracking logic for robust performance.
• Infrastructure & Deployment
• Provision and maintain Linux servers with SSH, Docker, and GPU drivers (NVIDIA CUDA/cuDNN).
• Automate CI/CD pipelines for model training, evaluation, and deployment.
• Monitor GPU utilization, troubleshoot performance bottlenecks, and ensure high availability.
• Collaboration & Documentation
• Work closely with product managers, data engineers, and front-end teams to integrate AI services via REST/gRPC APIs.
• Write clear technical documentation, API specs, and best-practice guides.

Required Qualifications

• Bachelor’s or Master’s in Computer Science, Electrical Engineering, or related field.
• 2-3+ years hands-on experience with:
• YOLOv8 or YOLOv11 (training, inference, transfer learning)
• Face recognition frameworks (InsightFace, FaceNet, ArcFace) and LLM embeddings (e.g., Hugging Face Transformers)
• Python ecosystem: PyTorch/TensorFlow, OpenCV, NumPy, scikit-learn
• Strong Linux skills: server provisioning, SSH, shell scripting.
• Proficiency in managing GPU servers (NVIDIA CUDA, Docker GPU containers)
• Experience deploying models in production (AWS/GCP/Azure or on-prem clusters).

Preferred Qualifications

• Familiarity with video-streaming protocols (RTSP/WebRTC).
• Knowledge of microservices architecture and API gateways.
• Exposure to MLOps platforms (MLflow, Kubeflow).
• Strong debugging, profiling, and performance-tuning abilities.

We Are Hiring at Brainayan!

Who We Are:

Brainayan is a dynamic People Development Company, catering to clients such as

Google, Facebook, Netflix, Grab, Viacom 18, Tonic, Deloitte, We Work, Sumo Logic,

Cred Avenue, Lenskart, BHTC, Vymo, Scaler, Uber, TikTok, Hone, Zepto, App Dynamics,

Piramal, Xiaomi, and many more. We design and deliver customized workshops and

organizational development initiatives to meet our clients’ unique talent development

needs. Our key services include:

• Leadership & Manager Development Programs

• Organizational Development Interventions

• Experiential Learning

• Training OCsites & Leadership Retreat Meets

• Leadership & Executive Coaching

• Innovative Tech Solutions

Innovation is at our core—we're always exploring new ways to engage participants and

build tech-driven solutions to support behavior change. Our passion lies in creating

impactful, tailored learning experiences that drive growth and transformation.

About the Role:

We're seeking a passionate and experienced Learning & Development Expert who

excels in every aspect of L&D—from needs analysis and content design to facilitation

and pre/post program evaluation. This role is for someone who thrives on providing

strategic client consultations, writing compelling articles for our website, leading

innovative research projects, and collaborating closely with our sales and tech teams.

Experience Range: 5-10 years

Salary Range: Up to 15 LPA (can be renegotiated for exceptional candidates)

Key Responsibilities:

• L&D Mastery: As an L&D expert, you know what it takes to deliver impactful

training. You’ll bring your expertise across a range of topics, from meeting

management to leadership development, creating and delivering content with

agility.

• Content Innovator: Translate complex research and books into actionable,

simple learning materials that resonate with participants.

• HR Insight: Leverage a nuanced understanding of the HR function to consult on

various talent management areas, driving real results for clients.• Engaging Facilitator: Ebectively connect with diverse audiences, from interns to

C-suite leaders, making each interaction valuable and meaningful.

• Collaborative Partner: Demonstrate exceptional collaboration and stakeholder

management skills, ensuring seamless cross-functional teamwork.

Required Qualifications:

• Educational Background: A degree in psychology (IO/OB) is highly desirable. An

additional HR qualification or relevant experience would be a strong plus.

• Certifications: L&D certifications are a bonus.

• Learning Agility: You adapt quickly, absorb new information ebortlessly, and

thrive in a fast-paced environment.

• Passion for L&D: Your enthusiasm for all things L&D sets you apart. You’re

always looking for ways to make learning experiences more engaging and

impactful.

• Subject Matter Expert (SME) will have the complete market level expertise and proficiency as required to create, develop and teach contents in the given subject area.
• Experience 0 to 5 yrs teaching Chemistry, Physics and Mathematics
• Educational qualification: Masters(M.Sc, M.Phil, P.hd) in Chemistry, Physics and Mathematics
• SME for NEET and JEE competitive exams should possess equivalent field experience in teaching student segments of the market space or students in the relevant institutions.
• The primary requirement from the SME will be the creation of highly relevant teacher Lesson planners, teaching modules as expected in the project architecture which is content in-line with the learning material of Raptor entrance expert.
• The SME should gain enough knowledge about the product developed through the induction program and should be prepared for workflow within the first 3 days of joining.
• Proficiency of the theoretical knowledge and equivalent application knowledge is a prerequisite to developing contents for the given assignment. The SME should be posses and be increasingly willing to upgrade one’s knowledge on a regular basis.
• The SME should thoroughly research the curriculum framework, market expectation, syllabus and other essential criteria for the assignment taken.
• The SME will stick on to the time schedules regularly to avoid any delay to the project completed within the stipulated project delivery time and will be solely responsible for the completion of any work given in the subject area within the scope of the given assignment.
• The work files should be appropriately organized in the allocated work system as they will be subjected to frequent auditing.
• The SME will have a parallel discussion and can take guidance from the Project Head and the academic expert team Lead (TL) to build contents analogous to the learning material and ensure organized content delivery.