Key Responsibilities: Design, develop, and train deep learning models for structured and unstructured data. Fine-tune pre-trained large language models (e.g., LLaMA, Mistral, Falcon, GPT-based models) for custom use cases. Evaluate model performance using standard metrics and improve based on experimentation. Build and maintain scalable training pipelines and inference systems. Collaborate with product and research teams to convert business requirements into technical solutions. Perform data preprocessing, augmentation, and annotation where needed. Optimize model inference speed and resource efficiency (e.g., quantization, pruning). Keep up with the latest research in ML/DL and apply relevant techniques to real-world problems. Required Qualifications: B.Tech / M.Tech / MS in Computer Science, Electrical Engineering, or related field. 23 years of hands-on experience in machine learning and deep learning. Strong knowledge of Python and frameworks such as PyTorch or TensorFlow. Proven experience training deep neural networks from scratch or via transfer learning. Exposure to LLMs – fine-tuning, prompt engineering, or training smaller transformer models. Familiarity with deployment of models using FastAPI, Flask, or similar. Preferred Qualifications: Experience with Hugging Face Transformers, LangChain, or similar frameworks. Knowledge of distributed training and GPU acceleration. Understanding of vector databases and RAG (retrieval-augmented generation) systems. Basic understanding of MLOps tools like Docker, Kubernetes, and CI/CD for ML workflows. Familiarity with common NLP tasks: text classification, summarization, NER, etc. What We Offer: A fast-paced, collaborative, and intellectually challenging environment. Opportunity to work on cutting-edge AI products and infrastructure. Flexible work options and a strong focus on work-life balance. Competitive compensation and equity options (if applicable).

We are seeking to hire an individual to play the dual role of Product and Project Manager. This individual should be experienced in managing enterprise software implementation projects, building requirements and have strong learning skills and exceptional analytical skills. You will be playing a critical role in project implementation right from requirements gathering, design & specification, development & testing, deployment and post implementation and BAU/application enhancement/defect maintenance. You will work hand in hand with client business, project, tech teams and internal team of engineers, data scientists and business teams to build solutions that address unique challenges related to unstructured data, knowledge representation and data visualization. You will have the opportunity to lead high impact, technically challenging projects that will influence the technical strategy. Responsibilities: Own and manage the project plan planning, managing and tracking tasks, ensure timely and quality delivery within scope and budget. Liaising with all stakeholders to understand business objectives, user requirements, scope, deliverables, sign offs, etc Involved in a combination of Business Analyst activities such as requirement gathering, analyzing process as is & to be mapping, preparing BRDs, wireframe prototypes, process models. flowcharts etc. User story writing with well-defined acceptance criteria Assigning, managing, coordinating and monitoring work in completing project tasks during each SDLC phase to ensure quality delivery within approved project scope, time and budget Maintaining RAID Log Track project/product deliverables using appropriate tools and conducting regular review Reporting regular status updates with all stakeholders highlighting track, progress, timelines, risks, mitigations, etc. Communicating with tech team the requirements for development & testing and ensure deliverables adhere to the requirements Analyzing scope creep and project change requests Client communication and demos Query handling and issue resolution Ensure all required documentations and sign off are maintained Project walkthroughs: Design Walkthrough, functional test plans, etc. Qualifications: Tech Skills: Post-Graduation degree in Finance or related field Experience in project management of software product implementation Should have hands-on experience with project management tools - Jira, Atlas, and Confluence Strong business and IT SDLC fundamentals Knowledge in Agile methodologies A PMP or Agile certification is preferred Finance background is preferred Soft Skills: Strong verbal and written communication skills with the ability to work well in a team Experience in working directly with customers Experience working in an agile software development organization Strong analytical skills Strong customer focus, ownership, urgency and drive Ability to work with cross functional teams Ability to handle multiple, competing priorities in a fast-paced environment Ability to inform about progress via accurate reporting. Excited about technology, and have a strong interest in learning about and building compelling web AI applications Education Qualifications - MBA or equivalent Employment Type - Full Time Location – Pune, Maharashtra

We are seeking to hire an individual for the role of Business Analyst / Lead Analyst Associate, Customer Success. This individual should be passionate about solving real-world business problems through data and technology. The role requires strong analytical abilities, a foundational understanding of finance, and the drive to work closely with both clients and internal teams to deliver impactful solutions. You will play a pivotal role in supporting client success through the implementation of an AI-driven platform. The role includes understanding business requirements, ensuring smooth solution implementation, reviewing data output quality, and collaborating with multiple stakeholders including engineering, product, and delivery teams. You will help interpret unstructured financial data, draw insights, and contribute towards refining the client experience and platform outcomes. Responsibilities: Understand client business needs, objectives, and processes to translate into clear and structured requirements. Involved in a combination of Business Analyst activities such as requirement gathering, process mapping, preparing BRDs, reviewing outputs, and identifying areas for improvement. Work closely with the internal team to validate data extracted from unstructured financial documents. Data validation and analysis will be key aspects of the role to ensure accurate, high-quality outputs. Provide inputs and insights throughout development and testing phases to ensure alignment with client goals. Coordinate and track activities related to solution implementation and client success. Perform functional and quality checks on data outputs and flag issues early. Support user story writing and documentation of business use cases. Participate in client demos, feedback sessions, and provide ongoing support for queries or enhancement requests. Identify trends and anomalies in data to improve platform accuracy and value. Maintain documentation such as process flows, UAT test cases, feedback logs, etc. Actively contribute towards continuous improvement in product quality, processes, and user satisfaction. Qualifications: Tech Skills: Good understanding of financial data, accounting principles, and financial statement analysis. Hands-on experience with Excel for data validation, analysis and reporting. Basic understanding of SDLC and Agile processes is preferred. Prior exposure to tools like Jira, Confluence, or similar will be a plus. Soft Skills: Strong verbal and written communication skills with the ability to interact effectively with clients and internal teams. Team player with the ability to also manage tasks independently. Excellent attention to detail and critical thinking ability. Strong analytical skills and a proactive mindset toward issue resolution and improvements. Ability to multitask in a fast-paced, dynamic environment. Willingness to learn and grow with evolving business and tech landscapes. Education Qualifications: B.Com / M.Com / MBA (Finance) or equivalent Employment Type: Full Time