We are looking for a dynamic Business Analyst (BA) with 3 to 6 years of experience to work at the intersection of business strategy and advanced technologies, including Artificial Intelligence (AI) , Machine Learning (ML) , and Large Language Models (LLMs) . This role requires a blend of analytical thinking, technical acumen, and communication skills to translate complex business challenges into cutting-edge technology solutions. The ideal candidate will collaborate with stakeholders, technical teams, and leadership to drive innovation and deliver impactful applications powered by AI/ML. Responsibilities Business and Requirement Analysis: Engage with stakeholders to identify business challenges, gather detailed requirements, and explore opportunities for leveraging AI/ML and LLM solutions. Conduct process analysis, gap analysis, and feasibility studies to align business needs with technological capabilities. Document clear, actionable functional and technical requirements, including user stories, workflows, and acceptance criteria. Build business cases and cost-benefit analyses to prioritize AI/ML initiatives. AI/ML and LLM Project Management: Collaborate with data scientists, AI/ML engineers, and developers to conceptualize, design, and refine AI/ML-driven solutions. Define business logic, model objectives, and evaluation criteria for AI/ML and LLM implementations. Assist in developing prototypes and proofs-of-concept to validate the feasibility and impact of solutions. Stay abreast of advancements in AI/ML and LLM technologies to identify new opportunities for business transformation. Stakeholder Communication and Collaboration: Act as the primary liaison between business units and technical teams to ensure alignment on objectives, expectations, and deliverables. Facilitate workshops, brainstorming sessions, and reviews to gather inputs and validate requirements. Prepare comprehensive reports, dashboards, and presentations to communicate progress, insights, and recommendations to stakeholders. Work with product managers to shape feature roadmaps and prioritize technology initiatives. Data-Driven Insights and Strategy: Collaborate with teams to define key performance indicators (KPIs) for evaluating the success of AI/ML solutions. Analyze datasets to uncover insights, identify patterns, and support data-driven decision-making. Use data visualization tools like Tableau, Power BI, or similar platforms to create interactive dashboards for monitoring AI/ML model performance. Provide strategic input on leveraging AI/ML to optimize workflows, improve customer experiences, and enhance operational efficiency. Testing, Implementation, and Monitoring: Collaborate with QA teams to design and execute test cases for validating AI/ML solutions against business requirements. Support the deployment of AI/ML systems into production environments, ensuring smooth implementation and adoption. Monitor deployed models for performance, accuracy, and reliability, providing feedback for continuous improvement. Create user guides, training materials, and best practices documentation to support stakeholders in utilizing AI/ML applications effectively. Required Skills and Qualifications Strong understanding of AI/ML concepts such as supervised/unsupervised learning, NLP, computer vision and LLMs, with the ability to bridge the gap between technical teams and business stakeholders. Experience with Python-based AI/ML libraries such as TensorFlow, PyTorch, or scikit-learn (preferred but not mandatory). Familiarity with AI/ML cloud services from AWS, Azure, or Google Cloud. Proficiency in business analysis methodologies, including process mapping, SWOT analysis, and root cause analysis Hands-on experience in creating detailed business requirement documents (BRDs), functional requirement specifications (FRSs), and workflows. Analytical and Technical Skills: Proficiency with data visualization tools like Tableau, Power BI, or similar platforms for presenting business insights. Basic understanding of APIs, data pipelines, and integrations for deploying AI/ML models. Ability to design and validate KPIs to measure business impact and technical success. Preferred Skills: Exposure to projects involving LLMs for conversational AI, chatbots, or content generation. Knowledge of Agile/Scrum frameworks for managing technology projects.
3 to 5 years of experience in data engineering roles. Strong expertise in PySpark Hands-on experience with Databricks. Experience with cloud platforms (Azure Data Lake, AWS S3, or GCP BigQuery).
Responsibilities: * Identify new business opportunities * Meet revenue targets * Build client relationships * Develop sales strategies * Collaborate with team on marketing initiatives
5+ years of experience in data engineering roles. Strong expertise in PySpark Hands-on experience with Databricks. Experience with cloud platforms (Azure Data Lake, AWS S3, or GCP BigQuery).
Responsibilities: Collaborate with cross-functional teams on project delivery. Design, develop & maintain large-scale data pipelines using Azure Databricks, AWS, PySpark & SQL.
Responsibilities: Collaborate with cross-functional teams on project delivery. Design, develop & maintain large-scale data pipelines using Azure Databricks, python, PySpark & SQL.
Responsibilities: * Identify new business opportunities * Meet revenue targets * Build client relationships * Develop sales strategies * Collaborate with team on marketing initiatives
Informatica: Minimum 8 years of hands-on experience in ETL development and performance tuning. Snowflake: Minimum 4 years of practical experience in data warehousing, modeling, and ELT pipelines.
Responsibilities: * Design, develop & maintain ETL processes using Snowflake & Power BI. * Collaborate with cross-functional teams on data requirements & deliverables.
Role Overview: We are looking for a skilled Data Engineer with hands-on expertise in Snowflake, Python, and AWS services to support end-to-end data migration and warehousing solutions. The ideal candidate will design, develop, and maintain scalable Snowflake data structures, implement efficient ETL pipelines using Python and AWS (S3, Lambda, Step Functions), and collaborate with cross-functional teams to deliver high-performance data solutions. Proficiency in Power BI for dashboarding and data visualization is essential. Experience in healthcare data is a plus. Key Responsibilities: • Design, develop, test, deploy, and maintain Snowflake tables/views/stored procedures/streams/tasks using SnowSQL. • Develop ETL processes using Python and AWS services such as S3, Lambda, Step Functions to migrate data from various sources into Snowflake. • SQL Expertise: Writing optimized queries for data extraction from Snowflake. Experience in data modeling: Star schema, snowflake schema, and dimensional modeling. • Collaborate with cross-functional teams to gather requirements and design solutions for complex data warehousing projects. • Troubleshoot issues related to SnowPipe performance optimization and implement improvements. • Ensure high availability of the system by implementing redundancy measures. • Proficiency in Power BI: Dashboard creation, data visualization, DAX, Power Query and SQL (T-SQL, Stored Procedures). Job Requirements: • Strong understanding of Data Migration concepts including ETL process development using Python & AWS Services like S3, Lambda, Step Functions. HealthCare experience is an additional advantage. • Strong proficiency in ReactJS, NodeJS, NextJS, and VueJS.
Responsibilities: Design, develop & maintain ETL processes using ODI/Data Integrator Collaborate with cross-functional teams on data initiatives Ensure data accuracy, security & compliance standards met
Responsibilities: * Identify new business opportunities * Meet revenue targets * Build client relationships * Develop sales strategies * Collaborate with team on marketing initiatives
Roles and Responsibilities Design, develop, test, and deploy scalable and maintainable Python applications using Django framework. Collaborate with cross-functional teams to identify requirements and implement solutions that meet business needs. Develop high-quality APIs using Flask or Django REST framework for data retrieval and manipulation. Ensure database integration with PostgreSQL databases by designing efficient schema designs, writing SQL queries, and implementing database migrations. Participate in code reviews to ensure adherence to coding standards and best practices. Desired Candidate Profile 7-9 years of experience in Python development with expertise in Django framework (minimum 3+ years). Strong understanding of object-oriented programming concepts, design patterns, and software design principles. Proficiency in working with PostgreSQL databases including query optimization techniques. Experience with API design principles, implementation using Flask or Django REST framework.
Responsibilities: * Collaborate with cross-functional teams on project delivery. * Optimize code performance and maintainability. * Design, develop, test & deploy Python apps using Flask & SQL.
Recruitment & Talent Acquisition Handle end-to-end recruitment for various departments (technical and non-technical). Source candidates through LinkedIn, Naukri, referrals, and other free job portals. Screen resumes, conduct initial HR interviews, and coordinate with hiring managers. Manage job postings, candidate tracking, and offer rollouts within defined TAT. Build and maintain a strong candidate pipeline for recurring roles. HR Operations Support the onboarding and induction process for new employees. Maintain employee records and HR databases (attendance, leave, personal files, etc.). Assist with payroll coordination and monthly HR reports. Handle employee queries and ensure smooth day-to-day HR operations. Employee Engagement & Performance Management Drive employee engagement initiatives and surveys. Support appraisal processes and help track performance reviews. Participate in retention and motivation programs. Compliance & Policy Administration Ensure compliance with statutory requirements and HR policies. Maintain documentation related to PF, ESI, Gratuity, and other HR audits. Requirements: Bachelors or Master’s degree in HR / Business Administration or related field. 4–6 years of hands-on HR experience with a strong focus on recruitment . Proficiency in using LinkedIn, Naukri, and other sourcing platforms. Excellent communication, interpersonal, and organizational skills. Ability to manage multiple priorities and work independently.
Responsibilities: * Conduct market research * Analyze markets * Execute SEO strategies * Generate leads through outreach campaigns * Collaborate with sales team on lead nurturing
Responsibilities: * Meet sales targets * Identify new business opportunities * Build client relationships * Present solutions effectively * Collaborate with team on strategy development
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