Role & responsibilities Develop, test, and maintain Al apps and machine learning models using Python. Create and maintain Al bots based on custom/ application APls. Implement data manipulation and analysis using libraries such as NumPy and PandasTroubleshoot and debug Al applications and fine tune models. Participate in code reviews to ensure code quality and share knowledge with the teamStay updated with the latest advancements in Al and machine learning technologies.Ensure that solutions are scalable, maintainable, and meet the best practices for security, performance and data managementStay current with emerging technologies and trends in process automation and make Python Full Stack Developer recommendations for incorporating them into client solutionsCollaborate, validate, and provide frequent updates to internal stakeholders throughout the project lifecycleContinuously research emerging technologies and determine credible solutionPositively and constructively engage with clients and operations teams where required. QualificationsExperience in Azure. Proficiency in Python as the primary programming language. • Building LLM powered applications in a production environment. Knowledge of Python backend frameworks like Django or Flask, FastAPl etc. Knowledge of LLM internals and good knowledge of LLM ecosystem both private (Open Al, Gemini, Anthropic etc) and open source. Experience with version control systems like Git/ Github, Devops knowledge. Strong experience with NumPy and Pandas libraries for data manipulation and analysis. Solid understanding of machine learning principles and algorithms Preferred candidate profile • Experience with Langchain. • Knowledge of ReactJS(with Next & TypeScipt) Azure(deployment on webapps, Functions) • Familiarity with Hugging Face Transformers for natural language processing. • Experience in BPO Outsourcing/ IT outsourcing Qualifications • Bachelor's degree in Computer Science, Artificial Intelligence, Engineering, or a related field, or equivalent work experience. • 3-5 years of experience in Al, machine learning, and Python development. • Proven ability to work independently and as part of a team.

Role & responsibilities Functions: Reasonable accommodation may be made to enable individuals withdisabilities to perform job-related functions.• Review claims for assigned offices and ensure submission within a timely manner.• Perform quality control checks on patient accounts for accurate billing.• Review and analyze denial queues to identify outstanding claims and unpaid balances.• Follow up on denied, underpaid or rejected claims with insurance companies to resolve billingdiscrepancies and ensure proper reimbursement.• Investigate and resolve any claim rejections or denials, including appealing or demandingdenied claims when necessary.• Collaborate with the Insurance Verification team to ensure eligibility and coverage isuploaded for patients, ensuring accurate billing information is obtained.• Communicate with insurance companies, patients, and healthcare providers to gatheradditional information required for claim processing. Preferred candidate profile Strong English proficiency skills (verbal & written) required.• Knowledge of medical billing/collection practices.• Knowledge of computer programs.• Ability to operate a computer and basic office equipment.• Ability to operate a multi-line telephone system.• Ability to read, understand and follow oral and written instructions.• Must be well organized and detail oriented.

Role & responsibilities: Develop and articulate a clear vision for the product, including defining the long-term strategy and roadmap. Critically understand the market and project user needs. Collaborate closely with Sales, IT, Innovation, Operations, and Support teams to ensure alignment of project strategy. Manage financial aspects of the project, including budgeting, pricing, and revenue forecasts. Lead the end-to-end project lifecycle, ensuring timely and quality delivery. Establish exceptionally close relationships with end users to understand needs and gather feedback. Assist the development team. Work closely with the business analysis team and SMEs, providing clear direction and maintaining alignment with the core product strategy. Work with clients and stakeholders to gather feedback, address issues, and enhance the product based on end-user experience. Ensure that the product is scalable, maintainable, and meets leading practices for security, performance, and data management. Collaborate, validate, and provide frequent updates to the leadership and internal stakeholders. Support the sales team with the development of pilots and product pitches. Collaborate with sales and innovation teams to develop a go-to-market strategy. Must have experience managing AI-based projects/products, ensuring strategic alignment, feasibility, and responsible AI practices. Work closely with data science and engineering teams to define AI/ML requirements, validate models, and ensure seamless integration into the product. Stay updated on emerging AI trends, regulatory frameworks, and ethical considerations to drive innovation while mitigating risks.Preferred candidate profile A Bachelor's degree in Computer Science; a management degree will be a big plusMinimum 5+ years of IT experience including 3+ years of proven experience in project management and product strategy developmentPrior experience in Generative AI-based projects is mandatory, especially in a technology startup or fast-growing technology companiesStrong analytical and problem-solving skillsExceptional communication, presentation and interpersonal skillsExperience in client-facing roles, understanding client needs and driving product customizationsResults-driven with demonstrated leadership in cross-functional collaborationInnovative with a passion for emerging technologies

Role & responsibilities Lead end-to-end reviews and optimization of banking and financial business processes, especially those related to lending workflows and loan lifecycle management systems (LMS).Conduct in-depth requirements analysis, particularly for commercial lending, retail loans, credit workflows, and digital banking transformations.Collaborate with stakeholders to gather functional and non-functional requirements related to LMS platforms, AI-based tools, and process automation.Prepare and maintain Business Requirement Documents (BRDs), Functional Specifications (FSDs), and user stories for projects involving loan origination, underwriting, disbursal, repayment tracking, and NPA monitoring.Drive the implementation and enhancement of AI-enabled banking solutions, including use cases like credit scoring models, automated decision engines, document verification, and customer behavior analytics.Effectively communicate plans, deliverables, and insights to cross-functional teams including Risk, Compliance, Operations, QA, WFM, Product, and Technology.Perform gap analysis between existing loan systems and proposed AI-driven solutions, recommending improvements for scalability and efficiency.Support project planning, manage milestones, monitor deliverables, and ensure timely execution.Assist in the definition and maintenance of internal banking procedures, compliance frameworks, and automation SOPs.Translate complex business requirements into technical specifications and ensure smooth collaboration between business and tech teams.Participate in UAT planning, execution, and feedback tracking, ensuring AI and LMS integrations meet business needs and regulatory standards.Continuously research trends in AI applications in BFSI and propose innovative solutions for business impact.Preferred candidate profile Graduate in Business Administration, Finance, Economics, IT, or related fields. MBA/CBAP/PMI-PBA certifications are preferred.Minimum 5 years of Business Analysis experience, with at least 23 years in the BFSI sector, including direct involvement with LMS platforms and lending operations.Proven experience in projects involving AI-powered products and digital transformation in banking.Strong knowledge of commercial lending systems, credit risk lifecycle, collections, underwriting, and regulatory compliance.Familiarity with core banking systems, LOS/LMS platforms, CRM tools, and cloud-based tech stacks.Excellent analytical thinking, documentation, and reporting skills.Proficiency in BA tools JIRA, Confluence, MS Visio, Excel, Power BI, SQL, etc.Strong communication and stakeholder management skills, with the ability to bridge business and technical teams.Experience working in Agile/Scrum environments.Perks and benefits