Fresher Business Analyst (Internship+Job Opportunity)

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.

About the Role

We are looking for a passionate AI Engineer Intern (B.Tech, M.Tech / M.S. or equivalent) with strong foundations in Artificial Intelligence, Computer Vision, and Deep Learning to join our R&D team.

You will help us build and train realistic face-swap and deepfake video models, powering the next generation of AI-driven video synthesis technology.

This is a remote, individual-contributor role offering exposure to cutting-edge AI model development in a startup-like environment.

Key Responsibilities

• Research, implement, and fine-tune face-swap / deepfake architectures (e.g., FaceSwap, SimSwap, DeepFaceLab, LatentSync, Wav2Lip).
• Train and optimize models for realistic facial reenactment and temporal consistency.
• Work with GANs, VAEs, and diffusion models for video synthesis.
• Handle dataset creation, cleaning, and augmentation for face-video tasks.
• Collaborate with the AI core team to deploy trained models in production environments.
• Maintain clean, modular, and reproducible pipelines using Git and experiment-tracking tools.

Required Qualifications

• B.Tech, M.Tech / M.S. (or equivalent) in AI / ML / Computer Vision / Deep Learning.
• Certifications in AI or Deep Learning (DeepLearning.AI, NVIDIA DLI, Coursera, etc.).
• Proficiency in PyTorch or TensorFlow, OpenCV, FFmpeg.
• Understanding of CNNs, Autoencoders, GANs, Diffusion Models.
• Familiarity with datasets like CelebA, VoxCeleb, FFHQ, DFDC, etc.
• Good grasp of data preprocessing, model evaluation, and performance tuning.

Preferred Skills

• Prior hands-on experience with face-swap or lip-sync frameworks.
• Exposure to 3D morphable models, NeRF, motion transfer, or facial landmark tracking.
• Knowledge of multi-GPU training and model optimization.
• Familiarity with Rust / Python backend integration for inference pipelines.

What We Offer

• Work directly on production-grade AI video synthesis systems.
• Remote-first, flexible working hours.
• Mentorship from senior AI researchers and engineers.
• Opportunity to transition into a full-time role upon outstanding performance.

Location: Remote | Stipend: ₹10,000/month | Duration: 3–6 months

We are looking for enthusiastic, customer-oriented individuals to join our team as Customer Relations Executives (CREs). This role is perfect for freshers who are eager to learn and build a career in the customer service industry. You will be responsible for handling customer interactions, providing assistance, and ensuring a seamless experience.

T&C Apply

Job Description

• Build pixel-perfect, buttery smooth UIs
• Leverage native APIs for deep integrations
• Diagnose and fix bugs and performance bottlenecks for performance that feels native.
• Maintain code and write automated tests to ensure the product is of the highest quality

Requirements

• 2+ years of relevant industry experience in React Native
• A deep understanding of JavaScript
• Familiarity with video recording, playback, and uploading libraries
• Experience with Native Android app deployment
• Familiarity with modern front-end build pipelines and tools
• Familiarity with RESTful APIs
• Familiarity with code versioning tools (such as Git)

Desired Candidate Profile

• MBA from a premier institute/ CFA (USA)/ CA (ICAI)
• 2-4 years of post-qualification experience
• Clear financial and quantitative concepts
• Strong logical and analytical abilities
• Good communication, presentation and inter-personal skills
• Very strong Microsoft Excel financial modelling skills
• Openness to travel overseas for extended periods (3-4 weeks) for client meetings and on-site execution    

The Role

The Project Manager will be responsible for ensuring all projects are delivered using a ‘best-practice’ project delivery approach and are delivered within the agreed scope, time, cost and quality.

Deliver high-quality shippable products as per the scope of the program. He/She will understand the key requirements and scope of the project working with the Product Owner and Business stakeholders.

How You Will Make an Impact:

• Understand how the product works and how it is used by customers.
• Apply strong engineering principles to drive the development and delivery of the Hotfix and minor release. This role has the ultimate responsibility to manage customer satisfaction and team engagement.
• Technically hands-on and support and guide the team members in solutions to customers and driving the best engineering practices for developing software.
• Implement the Agile frameworks in its entirety in the capacity as a flow manager. Ensure the development teams are practicing the core agile principles
• Establish clear ownership for project tasks, ensure that team members have the tools needed and provide timely feedback.
• Report (or contribute in preparing the status report) to the Project Steering Committee as per the schedule and agreed-upon metrics. Track progress and review project tasks to meet project deadlines.
• Assess project issues and identify solutions to meet productivity, quality, and customer goals.
• Timely Interaction with customers on/ off-site to troubleshoot issues, suggests workarounds.
• Should be able to guide/work with the technical team for quicker resolutions and achieve productivity goals for the team.
• Should be able to drive initiatives for productivity and ticket resolution quality improvement.
• Work on providing innovative ideas to improve ticket closure quality.
• Should suggest functionality in the platform to provide ways to improve turn around time for tickets
• Should drive and provide efficient ways for resolution/fixes of common issues across the customers.
• Propose ways to reduce overall tickets, operational efficiencies, and features for product to reduce the support tickets
• Should suggest better implementation for product based on usage on Production
• Should be able to suggest/implement the optimum process for a ticket raised to fix on PROD cycle
• Propose optimum process across departments at interfacing points, do regular ticket analysis and fine-tune the process
• Work on increasing supportability to product, Lead on RED account working with various departments/stakeholders.
• Ensuring Ticket Hygiene with Goal of SLA adherence. Problem and backlog management
• Contribute to knowledge base articles for both customer and internal staff to reduce troubleshooting time and drive faster issue resolution.
• Own large customers for day to day interactions with customers as required. Ensure SLAs are adhered to the accounts
• Ensure successful transition from SE, have regular connection with customers team management and attrition management.

People Management & Recruitment:

• Recruit and manage the team - Coach and Mentor the team members on career growth including performance management discussions. Be the evangelist for a high-performance culture
• Responsible for Resource planning & Optimization driving with utilization to timely deliverables.
• Should engage the team with team building and motivational activities.

What You Bring to the Team:

• 5-7years of solid experience in software product development. Should be in a manager role for at least 4+ years.
• Bachelor’s Degree in IT or Computers Engineering or equivalent degree in Computer Science
• Demonstrated understanding of Project Management processes, strategies and methods
• Experience mentoring, coaching and developing rising talent in the technology department
• Excellent time management and organisational skills and experience establishing guidelines in these areas for others
• Strong sense of personal accountability regarding decision-making and supervising department teams
• Experience working in a high-level collaborative environment and promoting a teamwork mentality 
• Managerial experience applying analytical thinking and problem-solving skills
• Ability to predict challenges and seek to proactively head-off obstacles 
• SCRUM, APM and other agile certificates will be nice to have

Technical Ability:

• Should have experience in transitioning projects (Development and Maintenance).
• Past experience in Building and Managing high-performance teams.
• Exposure to the SAP Platform
• Strong Working Experience in JIRA
• Should have prior development background along with current support role.
• Strong and proven background with experience in Troubleshooting on the Mobile platform
• Knowledge and/or experience with widely successful Agile techniques: Scrum and Kanban.
• Strong orientation towards Technical and functional aspects of the product.
• Strong influencing skills and ability to prioritize the backlog.
• Understanding of customer support processes and tools.