Model Development Jobs in Pune

AI/ML Engineer Experience: 2 3 Years Education: BBA, BSc, BTech/BE, MSc, MTech, MCA Location: Pune About the Role We are seeking a passionate AI/ML Engineer to design, build, and scale production-grade AI systems that power our platform. You will work on real-world AI problems such as document intelligence, real-time voice AI, and intelligent job-to-candidate matching systems. This role requires strong hands-on experience in LLM engineering, backend development, and AI system productionization. Required Skills Python (FastAPI) LangChain, LlamaIndex OpenAI API, Anthropic Good to Have Postgres (Pgvector), Supabase Redis Docker LangSmith GitHub Actions Roles & Responsibilities Build Agentic Workflows: Design and deploy AI agents capable of reasoning and decision-making using LangChain or LlamaIndex. Develop Voice AI Systems: Build low-latency, real-time conversational voice bots for candidate outreach using WebSockets, STT, and TTS, ensuring effective context retention and state management. Engineer Data Pipelines: Create robust parsing systems that enforce strict JSON outputs from LLMs for resume data extraction, along with data cleaning pipelines for unstructured formats (PDF/DOCX). Implement Advanced RAG Systems: Develop retrieval pipelines using Pgvector or Pinecone with hybrid search (semantic + keyword) for accurate job-to-candidate matching. Productionize & Monitor AI Systems: Set up tracing and observability using LangSmith to debug chains, monitor token usage, and optimize performance and cost. Backend Integration: Package AI logic into scalable, asynchronous microservices using FastAPI and Docker. Technical Requirements 1. Generative AI & LLM Engineering Experience enforcing structured JSON outputs using function calling. Strong prompt engineering skills (Chain-of-Thought, Few-Shot). Hands-on experience orchestrating complex AI pipelines using LangChain or LlamaIndex. 2. Voice AI & Real-Time Processing Experience with STT/TTS APIs (e.g., Whisper, Deepgram). Strong understanding of WebSockets and async programming for real-time audio streaming. Ability to design conversation managers with memory and context handling. 3. Search & Data (RAG) Experience with vector databases such as Pgvector, Pinecone, or Qdrant. Expertise in chunking, cleaning, and ingesting unstructured data. 4. MLOps & Production Engineering Observability and tracing using LangSmith. Writing automated AI evaluation scripts to test prompts before deployment. Experience optimizing cost by balancing model performance and token usage. 5. Core Backend Engineering Strong Python skills with FastAPI. Proficiency in async/await patterns for concurrent processing. Experience with Docker and relational databases (SQL). 6. Machine Learning & Algorithms Understanding of recommendation systems (Collaborative Filtering, Two-Tower models). Experience with ranking and re-ranking techniques (LTR, Cross-Encoders). Familiarity with traditional ML models using Scikit-learn or XGBoost. The Applied Mindset We Value Model Strategy: Ability to choose the right model based on cost, latency, and intelligence requirements. Security First: Awareness of prompt injection and jailbreaking risks and strategies to mitigate them. Hallucination Control: Strong grounding techniques to ensure factual and reliable AI outputs. Tech Stack Overview Languages: Python (FastAPI) AI & Orchestration: LangChain, LlamaIndex, OpenAI API, Anthropic Voice AI: Deepgram, Twilio Databases: Postgres (Pgvector), Supabase, Redis DevOps & MLOps: Docker, LangSmith, GitHub Actions Qualification : BBA, BSc, BTech/BE, MSc, MTech, MCA

Business Development Specialist Location: Pune | Employment Type: Full-Time About Redaptive Redaptive helps large companies modernize their infrastructure with no upfront capital, funding and executing energy and equipment upgrades. Through Infrastructure Monetization, we enable clients to reinvest savings into growth, operating across 12,000+ sites globally with a mission-driven, fast-paced culture. Position Summary We are seeking a motivated Business Development Specialist (BDR) to join our sales development team. The ideal candidate excels at generating leads, building relationships, and supporting the sales pipeline within the technology and sustainability sectors. Key Responsibilities Lead Generation: Develop and implement outbound strategies via calls, emails, and social media to create new business opportunities. Lead Qualification: Identify and qualify potential leads from both outbound and inbound sources to ensure a high-quality sales pipeline. Target Account Research: Collaborate with Sales and Marketing to define and research key target accounts. Outreach: Make daily cold calls to new business accounts and manage the hand-off to sales executives. Market Analysis: Monitor market trends and optimize sales efforts to consistently achieve quotas and business objectives. Job Requirements Experience: 5+ years of sales experience, specifically in inside sales or telemarketing for US-based organizations. Communication: Strong verbal and written communication with the ability to handle objections and convert them into opportunities. Technical Skills: Knowledge of Salesforce or other CRM tools is highly advantageous. Industry Knowledge: Experience with Fortune 500 clients, US hospitals, or the building/energy sectors is a major plus. Education: Bachelor s degree in Business Administration, Marketing, or a related field. Perks & Benefits Wellbeing: Comprehensive health insurance, wellness apps, and mental health support. Financial: Competitive pay, performance bonuses, and equity participation. Flexibility: Generous PTO, hybrid work model, and family-first policies. Growth: Continuous learning programs and cross-functional growth opportunities. Qualification : Bachelors degree in Business Administration, Marketing, or a related field

Accounts Receivable Specialist Location: Pune | Employment Type: Full-Time About Redaptive Redaptive helps large companies modernize infrastructure through Infrastructure Monetization. Headquartered in Denver, we operate across 12,000+ sites in over 10 countries, focusing on measurable sustainability and operational impact. Position Summary Redaptive is seeking a self-motivated Accounts Receivable Specialist to join our Accounting Team in Pune. This role focuses on full-cycle Accounts Receivable activities, month-end close processes, revenue recognition, and collections, specifically supporting U.S.-based operations. Key Responsibilities Accounts Receivable & Analysis Manage full-cycle A/R activities: invoicing, payment application, and month-end close. Analyze A/R aging reports to identify trends, discrepancies, and areas for improvement. Conduct reconciliations to ensure accuracy in transactions and contract management. Collections & Reporting Proactively manage overdue invoices and resolve billing disputes with customers. Handle internal adjustments including credit memos, RMAs, and write-offs. Perform month-end duties: journal entries, deferred revenue, amortization schedules, and accruals. Generate regular Aging reports and respond to ad hoc financial requests. Collaboration & Audit Support Collaborate with sales, customer service, and finance to resolve collection issues. Maintain order records in Salesforce and assist with sales-type lease accounting. Prepare documentation for internal and external audits to ensure compliance. Required Skills & Qualifications Education: Bachelor s degree in Accounting or Finance (Master s preferred). Experience: 4 6 years of relevant A/R experience, preferably with U.S.-based organizations. Software: Proficiency in NetSuite and Microsoft Excel; experience with Salesforce is preferred. Core Knowledge: Strong understanding of accounting principles and revenue recognition. Attributes: Detail-oriented, proactive, and comfortable with flexible working hours. Perks & Benefits Financial: Competitive pay, performance bonuses, and equity participation. Wellbeing: Comprehensive health insurance and Employee Assistance Program. Flexibility: Hybrid work model and generous paid time off. Development: Access to curated learning programs and certifications. Qualification : Bachelors degree in Accounting or Finance (Masters preferred)

Salesforce Developer Location: Pune | Employment Type: Full-Time About Redaptive Redaptive helps large companies modernize infrastructure with no upfront capital through Infrastructure Monetization. Headquartered in Denver, we operate across 12,000+ sites globally, fostering a culture of sustainability, innovation, and operational excellence. Position Summary Redaptive is seeking an experienced Salesforce Developer to enhance and optimize our Salesforce ecosystem. This role involves building solutions across multiple clouds, integrating external systems, and leveraging AI and automation to drive business growth and operational efficiency. Key Responsibilities Salesforce Development & Configuration Design and maintain customizations using Apex, Lightning Web Components (LWC), and Aura Components. Build declarative solutions using Salesforce Flows, validation rules, and page layouts. Support diverse business processes across Sales, Service, and Experience Clouds. Integration & System Support Integrate Salesforce with external systems via REST/SOAP APIs or middleware. Manage version control and CI/CD activities using tools like Git and Copado. Maintain data quality, migration, and the integrity of the sharing and security model. Business Collaboration & Delivery Gather requirements and deliver solutions in an Agile/Scrum environment using Jira. Conduct code reviews and ensure rigorous unit test coverage and quality assurance. Stay current with emerging Salesforce features, including Einstein AI and advanced automation. Required Skills & Qualifications Experience: 5+ years of Salesforce development (Apex, LWC, SOQL/SOSL, Triggers). Architecture: Deep understanding of Salesforce architecture and governor limits. DevOps: Familiarity with Git, Copado, and sandbox management. Certification: Salesforce Platform Developer I is required. Education: Bachelor s degree in Computer Science, IT, or a related technical field. Preferred Skills Certifications: Platform Developer II and JavaScript Developer I. Cloud Expertise: Experience with CPQ, Data Cloud, or Einstein Analytics. Middleware: Knowledge of MuleSoft or Workato. Perks & Benefits Financial: Competitive pay, performance bonuses, and equity participation. Flexibility: Hybrid work model and generous paid time off. Wellbeing: Comprehensive health insurance and Employee Assistance Program. Redaptive Extras: Creative workspaces and snack-stocked pantries. Qualification : Bachelors degree in Computer Science, IT, or a related technical field

AI Platform Engineer II Location: Pune Overview At Rapid7, we are looking for an AI Platform Engineer to help us build production-ready, agent-based AI experiences on Google Cloud (Vertex AI) and OpenAI platforms. You will be directly responsible for developing and shipping features such as AI agents, tools, and lightweight UIs that plug into our internal systems and data, driving productivity improvements across the company. As part of the AI Platform team, you will be involved in designing, implementing, and refining AI models and tools that integrate seamlessly with enterprise systems, while ensuring reliability, security, and scalability. Key Responsibilities Agentic Development with Vertex AI: Design and implement multi-step agents using Vertex AI (Agent Builder / Gemini), incorporating agent behaviors such as tool use, memory, and evaluation loops to create intelligent, autonomous workflows. MCP & Tool Integrations: Develop Model Context Protocol (MCP) connectors and API integrations that enable agents to interact with enterprise systems while maintaining least-privilege access and security standards. RAG & Data Grounding: Implement retrieval-augmented generation (RAG), utilizing vector stores, embeddings, and schema-aware prompts, while ensuring agents produce accurate and auditable outputs through robust guardrails. Vertex-based UI for Agents: Prototype intuitive chat interfaces and task UIs, including features like session history, tool invocation panels, and feedback widgets. Embed AI agents into existing internal applications to streamline workflows and improve user experience. Integration & Data Access: Connect AI agents to internal APIs and enterprise data sources (e.g., BigQuery, REST APIs, webhooks) using Google Cloud tools, ensuring smooth data access and system integration. Quality & Telemetry: Define key performance indicators (KPIs) such as quality, latency, and cost-efficiency for AI-powered features. Implement logging, monitoring, and observability to track performance and run structured experiments to improve agent behavior and outcomes. Requirements Experience 2 3 years of hands-on experience in software or AI application engineering, with a focus on creating and deploying custom AI agents, particularly using Gemini / Vertex AI Agent Builder. Technical Skills Proficiency with Google Cloud (Vertex AI, BigQuery, Cloud Run/Functions) and at least one large language model (LLM) API (e.g., OpenAI or Gemini). Experience building small end-to-end features, including backend APIs, agent logic, and basic UI for demos and production environments. Familiarity with agent frameworks such as LangGraph or LangChain, and common agent patterns like tool use, planning, and memory management. Knowledge of retrieval-augmented generation (RAG), including chunking, embeddings, and retrieval, along with prompt testing and evaluation. Collaboration Skills Ability to work cross-functionally with security, data, and application teams to ensure safe and efficient deployment of AI-driven solutions. Nice to Have Experience with GCP IAM, secrets management, and enterprise compliance considerations. Familiarity with Vertex AI Search, vector databases, or event/webhook architectures. Interest in emerging AI standards, MCP, responsible AI practices, and optimization for cost/performance. About Rapid7 At Rapid7, we are on a mission to create a secure digital world for our customers, industry, and communities. We empower our employees to challenge the status quo and drive transformative change. With over 11,000 customers relying on us for cybersecurity protection, we continue to innovate and solve some of the most challenging problems in the industry. Security and Compliance Rapid7 is committed to safeguarding our customers' security. All employees uphold the highest standards of security and privacy, ensuring sensitive information is protected and compliance with relevant regulations is maintained.

Principal AI Engineer - MLOps Location: Pune Overview Rapid7 is seeking a **Principal AI Engineer - MLOps** to drive the development and deployment of **scalable, production-grade AI/ML systems** in the field of cybersecurity. This role is within the **AI Center of Excellence team** and involves managing the **end-to-end design of ML production systems** from scoping and data requirements to continuous deployment and monitoring. You will play a pivotal role in mentoring junior engineers and shaping the **MLOps culture**. Key Technologies Used **Cloud/Infrastructure:** AWS (research environments, data hosting), **EKS** (Kubernetes), **Terraform** (Infrastructure as Code). **Modeling/Data:** **Python** (numpy, pandas, scikit-learn), Jupyter notebooks, Anomaly detection methods. Key Responsibilities End-to-End ML Production System Design: **Architect and manage the design and deployment** of ML systems from inception to production. Define project scopes, data requirements, modeling strategies, and **deployment pipelines** for AI/ML systems. Ensure **seamless integration** of models and AI components into the production environment, focusing on **scalability, reliability, and security**. Data Pipeline Management: **Develop and maintain data pipelines**, ensuring data consistency, integrity, and accessibility throughout the ML lifecycle. Oversee the data lifecycle, including **data preprocessing, feature engineering**, and storage. ML Guardrails & Monitoring: Implement **robust ML guardrails** to ensure model performance, fairness, and compliance. Manage the **monitoring and observability** of deployed models, ensuring timely and accurate tracking of model performance. Deployment & Service Monitoring: Develop and deploy accessible endpoints, including **web applications and REST APIs**, adhering to security best practices. Continuously monitor models and data to detect issues such as **drift, anomalies, or performance degradation**. Collaboration & Mentorship: Collaborate closely with engineering, data science, and product teams to ensure alignment on goals. **Mentor and guide junior engineers**, share knowledge, and promote best practices in MLOps. Agile Development & Iteration: Embrace **agile practices**, focusing on continuous iteration and solving complex challenges. Skills & Experience Core Technical Expertise **Extensive Software Engineering Experience:** 15+ years as a software engineer, with at least **3-5 years of expertise in MLOps** in AWS environments. **MLOps & DevOps:** Proven experience deploying **scalable AI/ML systems**, managing **CI/CD pipelines**, and utilizing cloud AI resources. Expertise with **Docker, Kubernetes, and cloud-based AI infrastructure management**. **Programming:** Strong proficiency in **Python** (Flask or FastAPI) and experience building APIs. Data & Modeling Skills Experience in designing **data pipelines** and performing **feature engineering**. Familiarity with **model risk management** strategies, including **concept drift monitoring** and hyperparameter tuning. Leadership & Communication Demonstrated ability to **collaborate across engineering, data science, and product teams**. Proven track record of **mentoring and guiding junior engineers**. Strong communication skills for conveying complex technical concepts and creating detailed system architecture documentation. Nice to Have Experience deploying resources that enable data scientists to fine-tune and experiment with **LLMs (Large Language Models)**. Understanding of AI/ML operational frameworks and associated challenges. Be a part of **cutting-edge AI/ML efforts** to strengthen cybersecurity. Mentor and grow the next generation of engineers in an inclusive, fast-paced environment. Tackle some of the most challenging security problems with a passionate and creative team.

Data Engineering Lead BI Analytics & DWH Location: Pune About Calfus At Calfus, we build groundbreaking AI agents and enterprise software that are redefining what s possible for businesses. Whether it's automating workflows, integrating ERP systems, or deploying AI-powered solutions, we help companies scale smarter and faster. Our engineering and data teams are at the core of this innovation designing and delivering high-performance solutions that unlock massive business value. As we grow rapidly, we re looking for driven individuals ready to make a meaningful impact. About the Role We re hiring a Data Engineering Lead to own and drive our BI Analytics & Data Warehousing strategy. You'll lead the architecture, development, and optimization of data pipelines, models, and interactive dashboards that power strategic insights across the business. You ll work hands-on with ETL tools, SQL, Power BI, Tableau, Python, and cloud platforms like Azure and AWS while mentoring junior engineers and collaborating with cross-functional stakeholders. What You ll Do Data Architecture & Modeling Design and implement scalable data models that support self-service BI and analytical reporting. Manage data modeling across structured, semi-structured, and cloud-native data sources. ETL/ELT & Integration Oversee ETL processes using SSIS, Airflow, or equivalent tools for seamless data movement. Handle complex data transformation using SQL Server, Postgres, Snowflake, and Redshift. Visualization & Reporting Develop and lead dashboard/report design using Power BI, Tableau, QuickSight, Plotly, or Dash. Drive best practices in dashboard performance, UX, and storytelling with data. Advanced Data Engineering Use Python, PySpark, NumPy, and Pandas for data wrangling and exploratory analysis. Work with Azure Databricks, MongoDB, and cloud storage (S3, Azure Blob) to build robust pipelines. Automation & DevOps Orchestrate pipelines using Apache Airflow, and implement CI/CD for data engineering workflows. Manage version control and code quality across projects using Git-based workflows. Stakeholder Collaboration Partner with business leaders and analysts to translate requirements into scalable data solutions. Align technical delivery with strategic business goals and drive cross-functional data initiatives. Leadership & Mentorship Guide and mentor junior team members across data and BI functions. Foster a culture of innovation, ownership, and continuous learning. What You Bring Bachelor s in Computer Science, Information Systems, Data Engineering, or related field. 6 12 years of experience in BI architecture, data engineering, and analytics. Deep expertise in: ETL tools: SSIS, Airflow Databases: SQL Server, Snowflake, Postgres, Redshift, MongoDB BI Tools: Power BI, Tableau, QuickSight, Plotly/Dash Python for data analysis, automation, and pipeline development Cloud Platforms: Azure, AWS (S3, Lambda, Databricks) Strong SQL and data modeling skills (relational and dimensional). Familiarity with CRISP-DM, data governance practices, and performance tuning. Bonus Points If You Have Experience working with Azure SDK. Ability to work with REST APIs and perform web scraping. BI architecture design and deployment at scale. Growth-driven culture with clear career paths. Work on industry-defining AI and enterprise products. Exposure to diverse clients, industries, and technologies. Strong focus on wellness, flexibility, and learning. Benefits Medical, group, and parental insurance Provident fund & gratuity Birthday leave & employee wellness programs Highly collaborative and innovative work environment Diversity & Inclusion Calfus is an Equal Opportunity Employer. We believe that diversity fuels innovation. We re committed to creating a welcoming and inclusive workplace for everyone regardless of race, gender, age, background, or identity. Lead the future of data at Calfus. Apply now and help power decision-making through scalable, smart, and stunning data engineering solutions. Qualification : Bachelors in Computer Science Information Systems, Data Engineering, or related field

Position: Associate Data Science Engineer Location: Pune, Maharashtra Work Type: Full Time Minimum Experience: 1 2 Years Top Skills: AI Applications, Python, Machine Learning, Deep Learning, NLP/NLG, Image Processing About the Role We are looking for a self-driven Associate Data Science Engineer to join our fast-growing Data & AI Practice. You will work on cutting-edge AI technologies and cloud-native solutions, helping build intelligent, high-impact products for our global clients. If you're passionate about AI/ML, Computer Vision, NLP, Generative AI, and developing scalable AI applications, this role is for you. What You Will Work On Contribute to the design, development, and deployment of AI-powered features and solutions. Collaborate with Product Management to translate business problems into AI/ML use cases. Build applications leveraging Computer Vision, NLP, Deep Learning, and Gen AI technologies. Develop and present functional prototypes, demos, and POCs. Stay current with the latest tools, frameworks, and research in ML, DL, and Gen AI. Participate in end-to-end project lifecycles from analysis to monitoring. What You Bring (Must-Have Skills) 1+ years of experience delivering AI/ML solutions through complete project lifecycle. Strong grasp of Linear Algebra, Statistics, and Probability. Proficiency in Python and data science libraries such as Pandas, NumPy, SciPy, scikit-learn, NLTK. Hands-on experience with ML/DL/NLP frameworks: TensorFlow, Keras, PyTorch, HuggingFace, spaCy, CoreNLP. Experience with Deep Learning models for Computer Vision and Object Detection. Solid knowledge of Generative AI, LLMs, and tools such as LangChain, LlamaIndex, Prompt Engineering. Strong analytical thinking, problem-solving ability, and effective communication. Great If You Also Know Experience with RAG frameworks, Function Calling, Agentic Frameworks, or Vector Search. Familiarity with cloud services: AWS (preferred), Azure, or Google Cloud Platform. Building APIs using FastAPI, async programming, and REST principles. Understanding of CI/CD, Docker/Kubernetes, and cloud-native deployment pipelines. Exposure to MLOps / LLMOps: versioning, tuning, deployment, and monitoring of models. Comfort with data visualization tools and practices. Agile development experience (Scrum, Kanban, etc.). Startup culture, small teams, and a high degree of autonomy. Work on next-gen technologies in AI, ML, GenAI, and cloud computing. Remote working options based on experience and maturity. Competitive salary and family-friendly benefits. Clear, performance-based career growth path. About Cognologix Cognologix helps businesses reimagine and innovate through modern data and cloud-native solutions. With a strong focus on data science, automation, and intelligent applications, we partner with organizations to deliver cutting-edge products in the most efficient and scalable ways. We thrive in a fast-paced, tech-first environment where innovation meets execution.

Position: Data Science Engineer Location: Pune Work Type: Full Time Minimum Experience: 3+ Years Top Skills: AI Applications, Python, Machine Learning, Deep Learning, NLP/NLG, Computer Vision, Object Detection About the Role We re looking for an experienced Data Science Engineer to join our Data & AI Practice. You will work on building and deploying intelligent, enterprise-grade AI solutions using the latest in Machine Learning, Deep Learning, Computer Vision, and Generative AI technologies. This is a role for engineers who thrive on ownership, innovation, and collaboration with the opportunity to mentor, lead, and make a real business impact through data. What You Will Work On Lead the design and development of AI/ML models and applications. Work with Product Management to translate business use cases into technical requirements and AI solutions. Develop and deploy Computer Vision, NLP, Deep Learning, and multi-modal GenAI applications. Perform dataset selection, feature engineering, and optimize data representation techniques. Mentor junior team members and contribute to team growth. Continuously explore and adopt the latest advancements in AI/ML, CV, NLP, and LLMs. Required Skills & Experience 3+ years of full lifecycle experience in building and deploying AI/ML applications. Proficiency in Python and core libraries: Pandas, NumPy, SciPy, Scikit-learn, NLTK. Hands-on experience with ML/DL/NLP frameworks: TensorFlow, Keras, PyTorch, HuggingFace Transformers, spaCy, CoreNLP. Deep knowledge in Linear Algebra, Probability, and Statistics. Strong foundation in Computer Vision: image classification, object detection (YOLO, Mask/Faster R-CNN), segmentation (semantic, instance, panoptic). Experience in Generative AI/LLMs, including Prompt Engineering, LangChain, LlamaIndex, Vector Search, Function Calling, Agentic Frameworks, and Document Processing. Exposure to cloud platforms: AWS (preferred), Azure, or GCP. Experience building RESTful APIs using frameworks like FastAPI, with async programming. Familiarity with CI/CD, Docker/Kubernetes, and scalable cloud-native deployments. Excellent problem-solving, analytical, and communication skills. Bonus Skills (Nice to Have) Experience in Agile/Scrum methodologies. Knowledge of MLOps/LLMOps: model versioning, tuning, deployment, monitoring. Experience with data visualization tools for analytics storytelling. Startup culture with autonomy, agility, and small team dynamics. Work on emerging AI/ML technologies across diverse real-world applications. Remote work options for high-performing team members. Competitive compensation with family-friendly benefits. Structured career progression based on performance and innovation. About Cognologix At Cognologix, we help businesses redefine their digital future through innovation and data-centric solutions. Our focus on cloud-native architectures, AI-driven intelligence, and automation-first thinking empowers enterprises to achieve meaningful transformation.

Job Title: Software Engineer AI/ML Location: Pune Qualification: B.E./B.Tech/M.E./M.Tech Experience: 2 4 Years Reporting To: Lead Software Engineer / Project Manager Role Overview: We are seeking a passionate and skilled AI/ML Software Engineer to join our growing team. The ideal candidate will be responsible for designing and developing intelligent systems using cutting-edge Machine Learning and Artificial Intelligence techniques. You will play a key role in building data-driven solutions that automate decision-making and improve business outcomes. Key Responsibilities: Study, analyze, and transform data science prototypes into functional ML solutions. Design and build AI and Machine Learning systems to automate predictive models. Research, implement, and optimize ML algorithms and tools based on project needs. Select appropriate datasets and design suitable data representation techniques. Develop, test, and fine-tune ML models through rigorous experimentation and statistical analysis. Train, retrain, and update ML systems as required. Extend or customize existing ML libraries and frameworks. Stay updated with the latest trends and advancements in AI/ML technologies. Required Skills & Abilities: 2 4 years of hands-on experience in AI/ML development. Solid understanding of Data Structures, Algorithms, and strong mathematical aptitude. Strong programming skills in Python, with working knowledge of scikit-learn, pandas, and other core ML libraries. In-depth knowledge of AI/ML algorithms, model evaluation techniques, and performance metrics. Experience with Deep Learning frameworks like TensorFlow, Keras, or PyTorch is a plus. Exposure to MLOps tools for model deployment and monitoring is preferable. Good communication skills and ability to manage interactions with clients and cross-functional teams. Strong problem-solving attitude and a willingness to learn continuously. Qualification : B.E./B.Tech/M.E./M.Tech/MCA

Head Service Operations Location: Pune Department: Product Management Product Employment Type: Full-Time About Entrata Founded in 2003 by visionary college students revolutionizing online rent payments, Entrata has grown into a global leader serving property owners, managers, and residents. Recognized with prestigious awards such as the Utah Business Fast 50, Silicon Slopes Hall of Fame (Software Company - 2022), and the Women Tech Council Shatter List, our all-encompassing software suite includes rent payments, insurance, leasing, maintenance, marketing, and communication tools reshaping property management worldwide. With a team of 2,200+ professionals across offices in Utah, Texas, India, Israel, and the Netherlands, Entrata blends startup agility with enterprise stability. We prioritize transparent communication, diversity of thought, bold innovation, and collective excellence to create better living experiences globally. Role Overview Entrata is seeking a seasoned and motivated Head of Service Operations (Senior Director/Vice President level) to lead and scale our India-based operational teams. Reporting directly to the Managing Director of India, this role will partner closely with India and US leadership, including R&D, Implementation, Support, and Services. Your primary responsibility will be managing current shared services teams such as Utility Operations, Professional Services/Implementation, Support, and Marketing Services while strategically expanding operational capabilities within India. The focus will be on driving cost efficiency, process optimization, operational excellence, and sustainable growth. This position demands a proven leader with extensive experience managing high-performing teams, preferably in the SaaS industry or similar fast-paced environments. Key Responsibilities Operational Leadership: Set strategic direction and provide leadership for India-based operational teams aligned with global company goals and India-specific initiatives. Team Management: Lead, mentor, and develop a diverse group of operational professionals, fostering a culture of collaboration, accountability, and continuous improvement. Shared Services Growth: Plan and execute the transition of additional operational functions to India, targeting cost efficiencies, process improvements, and service-level enhancement. Operational Excellence: Implement best practices and leverage technology to improve productivity, streamline workflows, and enhance service quality. Budget & Financial Oversight: Manage the operational budget, optimize resource allocation, and ensure maximum ROI. Cross-Functional Collaboration: Partner with leadership across India and the US including R&D, Implementation, and Support to integrate operations seamlessly. Vendor & Partner Management: Oversee vendor relationships, enforce service level agreements, and control costs effectively. Performance Monitoring: Define KPIs and metrics, regularly reporting operational performance to senior leadership. Compliance & Risk Management: Ensure adherence to relevant regulations and internal policies while proactively managing operational risks. Talent Acquisition & Development: Lead hiring efforts and talent development to build a strong, scalable operations team. Minimum Qualifications Bachelor s degree in a relevant discipline. 15+ years of progressive experience in operations management. Proven success building and leading high-performing, geographically dispersed teams. Deep understanding of shared services models and operational transition experience. Strong capability managing multiple technical and operational functions aligned to corporate objectives. Excellent cross-functional collaboration skills across global teams. Advanced analytical, problem-solving, and decision-making abilities. Outstanding communication, interpersonal, and presentation skills. Experience managing operations in a global, multi-time zone environment. Familiarity with India s business environment and regulatory landscape. Preferred Qualifications MBA or other advanced degree. SaaS industry experience. Knowledge of relevant SaaS platforms and technologies. Demonstrated success in transitioning operations to cost-effective locations. Experience in vendor management and financial reporting. Expertise in operational excellence methodologies (Lean, Six Sigma, etc.). Proven track record of scaling operations in high-growth companies. In-depth understanding of compliance standards and regulatory requirements. Lead and grow a key operational hub within a leading global proptech company. Collaborate with innovative, diverse teams across multiple continents. Influence the development of scalable, efficient operational models. Access to ongoing professional growth opportunities in a dynamic environment. Qualification : Bachelors degree in a relevant discipline

Position: Senior Data Scientist Location: Pune Employment Type: Full-Time Company: vConstruct (Construction Technology Company) About vConstruct vConstruct is a Pune-based construction technology company focused on revolutionizing the construction industry through advanced AI and ML solutions. Our Data Science and Analytics team comprises Data Scientists, AI Engineers, Data Analysts, and Data Engineers working collaboratively to drive innovation across all construction project phases from pre-construction to post-construction. Our mission is to harness the power of data and AI to improve predictability, automate processes, and enhance efficiency in construction domains such as scheduling, planning, supply chain, safety, quality control, site management, financials, and virtual design construction. Role Overview We are seeking a highly skilled Senior Data Scientist to lead the development of innovative AI and machine learning solutions focused on construction data. You will work on cutting-edge projects involving Computer Vision, Predictive Analytics, Generative AI, and Large Language Models (LLMs) using technologies such as MS Azure AI Services, OpenAI, and various ML frameworks. Key Responsibilities Collaborate strategically with cross-functional teams to identify and solve business problems through scalable AI/ML solutions. Analyze construction project data to develop predictive models using traditional methods and generative AI. Apply machine learning algorithms to enhance project execution, safety, risk assessment, and other core construction processes. Lead end-to-end development of scalable predictive and ML models, including hypothesis generation, development, deployment, and monitoring. Build, validate, and optimize machine learning and statistical models; review and quality control models developed by junior team members. Partner with engineering and business teams to deeply understand data, processes, and business requirements, and implement appropriate solutions. Stay updated on advances in data science and machine learning to continuously enhance vConstruct s capabilities. Use statistical techniques to detect anomalies and optimize workflows to ensure timely, cost-effective project delivery. Collaborate with product managers and business leaders to drive data-driven decision-making and communicate insights effectively. Visualize insights using BI tools to support stakeholders in understanding data outcomes. Key Projects Include Developing GPT-based language models customized for construction industry data (structured and unstructured). Utilizing computer vision for object detection on 2D drawings and 3D BIM models. Applying statistical frameworks to predict construction site losses, win/loss opportunities, and quantity forecasts. Integrating AI models deeply into construction operations to automate and improve efficiency. Qualifications Bachelor s or Master s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. 8-10 years of professional experience, including at least 6 years in data science, machine learning, and analytics. Proven track record of delivering impactful, production-ready AI/ML solutions. Experience managing multiple projects in fast-paced, dynamic environments. Strong business acumen with the ability to translate technical insights into actionable business strategies and communicate effectively with stakeholders. Experience with construction data or related industries (engineering, manufacturing) is a plus. Technical Skills Expertise in Python, R, or Scala programming. Proficiency with ML, AI, and statistical frameworks and libraries such as TensorFlow, PyTorch, scikit-learn. Strong experience in predictive analytics, clustering, classification, regression, and multivariate techniques. Hands-on experience with data visualization tools such as Tableau, Power BI, Matplotlib. Familiarity with cloud platforms (preferably Azure), Azure ML Services, and Snowflake is a plus. Strong SQL skills and experience working with relational databases. Knowledge of NLP and Computer Vision technologies is advantageous. If you re passionate about transforming the construction industry through AI/ML innovation and want to work with a talented, motivated team, apply now to join vConstruct s visionary journey. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or a related field

Lead Salesforce Architect Location: Pune Role Overview: We are seeking a highly experienced and strategic Salesforce Architect to lead the design and delivery of enterprise-level Salesforce solutions. In this role, you will work across multiple Salesforce clouds and integration platforms to architect scalable, secure, and high-performing solutions that align with our business goals. Key Responsibilities: Architect and oversee the implementation of Salesforce solutions across Sales Cloud, Service Cloud, Experience Cloud, Marketing Cloud, and Health Cloud. Leverage Salesforce out-of-the-box capabilities to minimize custom development and optimize performance. Lead technical solutioning using Apex, Lightning Web Components (LWC), and declarative tools. Design and manage integrations between Salesforce and external systems using MuleSoft, REST/SOAP APIs, and middleware technologies. Define and implement CI/CD pipelines using tools such as Git, Jenkins, Azure DevOps, Copado, or Gearset. Translate complex business requirements into scalable, maintainable technical solutions. Conduct comprehensive code and architecture reviews to ensure alignment with industry best practices, performance, and security standards. Collaborate with business stakeholders and cross-functional teams to drive platform strategy, roadmap development, and delivery execution. Required Qualifications: 8+ years of hands-on experience with the Salesforce platform, including 3+ years in a Salesforce Architect role. Deep expertise in Sales Cloud, Service Cloud, and Experience Cloud; experience with Health Cloud is preferred. Strong development skills with Apex, Lightning Web Components (LWC), and a deep understanding of the Salesforce metadata model. Comprehensive knowledge of Salesforce configuration, security models, sharing rules, automation tools, and platform limitations. Proven experience with MuleSoft and API-led integration architecture. Solid understanding of DevOps, CI/CD, and sandbox management within Salesforce ecosystems. Ability to lead architectural discussions and translate strategic business objectives into actionable technical designs.

Lead Developer Generative AI Location: Pune Company: HeapTrace Technology Job Type: Full-Time About HeapTrace Technology At HeapTrace Technology, we are pioneers in innovation, delivering transformative IT solutions across industries. Our expertise spans software development, AI integration, cloud services, and more. We empower businesses to leverage technology for accelerated growth and lasting success. Join us to be part of a dynamic team pushing the frontiers of AI. Job Description We are seeking an experienced Lead Developer specializing in Generative AI to lead the design, development, and deployment of cutting-edge AI models and applications. You will collaborate with cross-functional teams to embed generative AI into our products and services, driving innovation and business value. Responsibilities Lead Generative AI Development: Design and implement advanced generative models such as GPT, GANs, and VAEs for content generation, data augmentation, and other applications. Project Leadership: Manage AI projects from ideation through deployment, ensuring alignment with business goals and timely delivery. Cross-Functional Collaboration: Partner with product managers, designers, and developers to integrate AI functionalities seamlessly into solutions. Research & Innovation: Keep abreast of the latest AI advancements and integrate relevant innovations into projects. Mentorship: Guide junior developers and data scientists, fostering a culture of collaboration and innovation. Deployment & Scaling: Optimize AI models for performance and scalability in production environments. Ethical AI: Ensure responsible AI practices, addressing ethical implications and regulatory compliance. Requirements Education: Bachelor s or Master s in Computer Science, AI, Machine Learning, or related field. Experience: Minimum 5 years in AI/ML development with 2+ years focused on generative models. Technical Skills: Proficiency in Python and frameworks like TensorFlow, PyTorch, or Keras. Strong understanding of machine learning algorithms and deep learning architectures. Experience with NLP models (e.g., GPT, BERT) and generative models such as GANs and VAEs. Leadership: Proven track record of leading AI projects and teams. Problem-Solving: Ability to translate business needs into technical solutions. Communication: Excellent verbal and written skills, capable of explaining complex AI concepts to non-technical audiences. Ethics: Awareness of AI ethical considerations including bias mitigation and data privacy. Nice to Have Experience deploying AI models on cloud platforms like AWS, Azure, or Google Cloud. Familiarity with containerization and orchestration tools such as Docker and Kubernetes. Knowledge of data engineering and working with large datasets. Publications or active contributions to the AI research community. Competitive Salary: Attractive compensation aligned with your experience. Flexible Work Environment: Remote work options and flexible schedules. Professional Growth: Access to learning opportunities, conferences, and skill development. Innovative Projects: Work on impactful AI initiatives that push technology boundaries. Collaborative Culture: Join a diverse, creative, and supportive team environment. Qualification : Bachelors or Masters in Computer Science, AI, Machine Learning, or related field.

Job Title: Staff Data / Machine Learning Engineer Company: Druva Location: Pune, Maharashtra, India About Druva: Druva, the autonomous data security company, delivers data protection on autopilot through a 100% SaaS, fully managed platform that secures and recovers data from all threats. The Druva Data Security Cloud guarantees data availability, confidentiality, and integrity providing customers with autonomous protection, rapid incident response, and guaranteed data recovery. Trusted by over 6,000 customers worldwide including 65 of the Fortune 500 Druva safeguards business-critical data in today s connected world. Backed by over $350M in venture capital, Druva protects more than 200 PB of data globally and offers a $10 million Data Resiliency Guarantee against cyber threats. The Role & Team: Join Druva s Business Intelligence team, where data drives key insights and fuels operational and strategic decisions. As a Staff Data/Analytics/ML Engineer, you will lead the development of data-to-insights recommendation engines and drive collaboration across teams to deliver impactful, data-driven solutions. This is a high-impact role working alongside expert engineers and product leaders, leveraging industry-leading data platforms and tools. What You ll Do: Bridge the gap between data engineering, analytics, and machine learning to unlock actionable business insights. Collaborate cross-functionally with Product, Engineering, GTM, and Customer Success teams to build data-driven solutions that enhance decision-making and business outcomes. Design, build, and maintain scalable data pipelines and infrastructure supporting analytics, machine learning, and operational workflows. Develop and optimize data models for efficient analytics and reporting across large datasets. Lead feature engineering, model training, and deployment pipelines for real-time and batch ML/AI applications. Drive architectural improvements in data governance, observability, and platform scalability. Evaluate and implement cutting-edge data tools and platforms including Reverse ETL, MLOps, and DataOps frameworks. Mentor and guide data engineers, analysts, and ML practitioners, fostering technical excellence and collaboration. Translate complex business requirements into technical deliverables, prioritizing initiatives that maximize impact. What We Are Looking For: Bachelor s or Master s degree in Computer Science, Data Science, Engineering, Statistics, or a related field. 7+ years experience spanning data engineering, analytics engineering, and machine learning with a strong technical foundation in all three areas. Expertise in modern data stacks: Snowflake, dbt, Airflow, Spark, and cloud platforms (AWS, GCP, Azure). Proficiency with BI and analytics tools such as Looker, Sigma, Tableau, Power BI, or equivalents. Strong skills in SQL, Python, and distributed data processing frameworks (Spark, Dask, etc.). Experience designing and maintaining data pipelines, ETL/ELT workflows, and data transformations for analytics and ML use cases. Familiarity with ML frameworks like TensorFlow, PyTorch, Scikit-learn, and MLOps lifecycle management. Deep knowledge of data modeling, architecture, and governance best practices. Proven problem-solver who thrives in ambiguity and designs robust data solutions. Experience working in Agile environments with strong prioritization and collaboration skills. Excellent communication skills, capable of simplifying complex technical topics for non-technical stakeholders. Bonus Points For: Experience with Generative AI, LLMs, and integrating AI into business workflows. Knowledge of streaming architectures (Kafka, Kinesis, Pub/Sub) and real-time analytics. Familiarity with Data Contracts, Data Quality frameworks, or Data Mesh architectures. Experience with Reverse ETL tools such as Salesforce, Census, Hightouch, or Segment for operational analytics. If you re passionate about driving data innovation at scale and want to work in a dynamic environment protecting the world s critical data, Druva invites you to join our team! Qualification : Bachelors or Masters degree in Computer Science, Data Science, Engineering, Statistics, or a related field.

Job Title: Salesforce Developer Experience: 2 - 5 years Location: Kharadi, Pune Role & Responsibilities Design, develop, test, and deploy customized Salesforce solutions to address business requirements. Develop and maintain Salesforce applications using Apex, Visualforce, Lightning Components (Aura & Lightning Web Components - LWC), and Salesforce APIs. Customize and configure Salesforce objects, fields, workflows, process builder, validation rules, and automation processes. Integrate Salesforce with third-party applications and services via REST and SOAP APIs. Implement automation solutions leveraging Salesforce Flows, Triggers, and other declarative tools. Optimize existing Salesforce applications for improved performance, scalability, and user experience. Collaborate with business analysts, stakeholders, and cross-functional teams to gather and translate business needs into technical solutions. Ensure platform security, compliance, and adherence to Salesforce best practices. Troubleshoot and resolve technical issues within Salesforce environments promptly. Stay current with Salesforce platform updates, new features, and industry best practices. Required Skills & Qualifications 2 to 5 years of hands-on Salesforce development experience. Proficient in Apex, Visualforce, Lightning Web Components (LWC), and Aura Components. Strong understanding of Salesforce Object Model, SOQL, SOSL, and Governor Limits. Experience with Salesforce automation tools including Workflows, Process Builder, Flow, and Approval Processes. Hands-on experience with Salesforce integrations using REST/SOAP APIs, Web Services, and middleware like MuleSoft is a plus. Familiarity with Salesforce security models, including Profiles, Permission Sets, and Sharing Rules. Experience with CI/CD pipelines and version control tools such as Git, Bitbucket, Jenkins for Salesforce development. Knowledge of Agile methodologies and tools like Jira or Trello. Salesforce Developer certifications (PD1, PD2) are advantageous. Strong analytical, problem-solving, and communication skills.

Data Engineer - Media & Advertising Sector - Job Description We are looking for an experienced Data Engineer to join our team and drive business outcomes in the media and advertising sector. In this role, you will leverage advanced data technologies to design and implement comprehensive data strategies that focus on scalability, performance optimization, and secure data management. Successful candidates will have hands-on experience with Big Data technologies and machine learning models, as well as a deep understanding of the advertising domain and its data needs. Technical and Professional Requirements: Big Data Technologies: Proficiency with platforms such as BigQuery, Big Data, Hadoop, and Snowflake for managing and processing large-scale datasets. Programming/Scripting Languages: Strong experience in programming languages like Python, Java, or Go for developing data solutions. Machine Learning Models: Hands-on experience defining and implementing various Machine Learning models to address diverse business requirements. Data Scalability & Performance: Practical experience in handling performance and data scalability challenges to ensure efficient data processing and storage. Advertising Domain Knowledge: Familiarity with advertising data and experience working with datasets such as Campaign Performance, Ad Performance, Attribution, and Audience Data. Job Responsibilities: Data Strategy Design: Develop a comprehensive data strategy that aligns with business objectives. This includes designing data models, establishing database development standards, and managing data warehouses and data analytics systems. Data Source Identification: Identify internal and external data sources and create a plan for managing these data sources according to the overall business data strategy. Cross-Functional Collaboration: Work with various teams (engineering, product, analytics, etc.) to ensure the smooth functioning of the enterprise data system, facilitating cross-departmental cooperation. End-to-End Data Architecture: Manage the end-to-end data architecture process, from selecting the platform and designing technical architecture to developing applications, and finally testing and implementing the solution. Big Data Solution Planning: Plan and execute big data solutions using technologies like BigQuery, Big Data, Hadoop, and Snowflake. Data Accessibility & Security: Integrate technical functionality that ensures data accessibility, accuracy, and security throughout the data lifecycle. Educational Requirements: Any Graduate with 60% and above in your academic background. This position is ideal for someone who is passionate about data engineering and eager to tackle complex challenges in the media and advertising sector. If you're looking to drive innovation, work with cutting-edge technologies, and collaborate across teams, we would love to hear from you! Qualification : Any Graduate with 60% and above in your academic background.

Senior Analyst-IT & Information Security Administration of One Identity tool and management of integrated Identities and Services. Engineering support of One Identity Manager Environment Management of cloud and on-prem infrastructures hosting IAM. Working knowledge on One identity tools : 1IM Manager / Object Browser / Job Queue / Synchronization editor Understanding of the whole IAM environment, Active Directory Multi forest environment at an enterprise level, Windows OS, IIS, MS SQL server Monitor, Report and Analysis of bugs during and after IAM release versions. Performance management of IAM tools, database and Infrastructure. Administration of Identities and Services integrated with the One IDM tool. Support for Organization integration with the IAM Infra. Collaborate and work with onshore development and project team to provide solutions and assist during Project release, testing and for operational support. Responsible for management of incident, problem and change within the IAM Infrastructure. Responsible for documentation and update of IAM Processes and operating procedures. Work with Software Development tool (e.g., JIRA) and handle various IAM related tasks. Your benefits: We offer a hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl. up to 25 days per year working from abroad We believe in rewarding performance and our compensation and benefits package includes a company bonus scheme, pension, employee shares program and multiple employee discounts (details vary by location) From career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered Flexible working, health and wellbeing offers (including healthcare and parental leave benefits) support to balance family and career andhelp our people return from career breaks with experience that nothing else can teach About Allianz Technology Allianz Technology is the global IT service provider for Allianz and delivers IT solutions that drive the digitalization of the Group. With more than 13,000 employees located in 22 countries around the globe, Allianz Technology works together with other Allianz entities in pioneering the digitalization of the financial services industry. We oversee the full digitalization spectrum from one of the industry s largest IT infrastructure projects that includes data centers, networking and security, to application platforms that span from workplace services to digital interaction. In short, we deliver full-scale, end-to-end IT solutions for Allianz in the digital age. D&I statement Allianz Technology is proud to be an equal opportunity employer encouraging diversity in the working environment. We are interested in your strengths and experience. We welcome all applications from all people regardless of gender identity and/or expression, sexual orientation, race or ethnicity, age, nationality, religion, disability, or philosophy of life. Join us. Let s care for tomorrow.

Qualifications: 7+ years of experience working in the AI & Automation field Proven experience in designing and implementing AIOps solutions in large-scale environments; strong expertise as an Automation Engineer with a focus on AIOps, Generative AI, and Conversational AI. Hands-on experience withAmeliaAIOps software and integrations is a must Strong knowledge of AI/ML techniques applied to IT operations. Proficiency with automation tools (e.g., Ansible, Puppet, Terraform, Chef etc). Expertise in cloud platforms (AWS, Azure, GCP), with hands-on experience in automation and orchestration. Solid understanding of APIs, web services, and integration technologies (e.g., REST, GraphQL, Kafka). Proficiency in scripting/programming languages (Python, Java,Bash, etc). Familiarity with observability tools (e.g., Splunk, Dynatrace, New Relic) and ITSM tools (e.g., ServiceNow) Strong background in machine learning and deep learning algorithms. - Proficiency in Python, TensorFlow, and PyTorch, Huggingface for developing AI models. Generative AI frameworks Langchain, LlamaIndex, Agentic Frameworks - AutoGen, Semantic kernel, crewAI, promptflow,Langflow, Langraph Deep understanding of transformer architectures and diffusion models Experience in generative AI techniques such as GANs and VAEs. - Ability to design and implement scalable and efficient AI systems. Experience working with DevOps including but not limited to container technologies like Docker & Kubernetes, as well as Cloud Native technology stack such as Argo, Helm, etcd, and Envoy Strong communication, problem solving and leadership skills, with the ability to work collaboratively with diverse teams. Certifications in AWS, Azure, Generative AI or relevant AI technologies are a plus. Your benefits: We offer a hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl. up to 25 days per year working from abroad We believe in rewarding performance and our compensation and benefits package includes a company bonus scheme, pension, employee shares program and multiple employee discounts (details vary by location) From career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered Flexible working, health and wellbeing offers (including healthcare and parental leave benefits) support to balance family and career andhelp our people return from career breaks with experience that nothing else can teach About Allianz Technology Allianz Technology is the global IT service provider for Allianz and delivers IT solutions that drive the digitalization of the Group. With more than 13,000 employees located in 22 countries around the globe, Allianz Technology works together with other Allianz entities in pioneering the digitalization of the financial services industry. We oversee the full digitalization spectrum from one of the industry s largest IT infrastructure projects that includes data centers, networking and security, to application platforms that span from workplace services to digital interaction. In short, we deliver full-scale, end-to-end IT solutions for Allianz in the digital age. D&I statement Allianz Technology is proud to be an equal opportunity employer encouraging diversity in the working environment. We are interested in your strengths and experience. We welcome all applications from all people regardless of gender identity and/or expression, sexual orientation, race or ethnicity, age, nationality, religion, disability, or philosophy of life. Join us. Let s care for tomorrow.

Join Cencora and Make a Difference in Health! At Cencora, we believe that our team members are at the heart of everything we do. Together, we work towards a common goal: creating healthier futures. Every individual here plays a key role in helping us deliver on this purpose. If you're passionate about making a real impact in the health and wellness space, come join us and contribute to improving the lives of people and animals everywhere! Position: Reporting Engineer I - HRIT As a Reporting Engineer I, you will be an essential part of our HRIT team, creating and developing reports, supporting integration solutions, and ensuring seamless data flows across our systems. This role offers an opportunity to work with cutting-edge technology while maintaining an eye on business needs and data privacy requirements. Key Responsibilities: Report Creation and Development: Document functional and technical requirements for reports in alignment with business needs. Develop, test, and deploy reports based on the requirements provided by the Reporting Governance Lead. Collaborate on data privacy and security by identifying report-related security impacts and working with HRIT Security Admin to ensure compliance with Cencora s security model. Troubleshoot technology issues and resolve them in a timely manner. Coordinate schedules to ensure all deliverables meet established SLA timelines. Integration Development and Support: Document integration requirements and data flows based on Cencora s design principles. Develop integration solutions utilizing APIs, flat files (via SFTP), and other delivery models. Monitor and resolve data or integration delivery issues to ensure data integrity. Perform data load activities (ETL) to support the development of reports and integrations. Use tools like BIRT and Studio to write queries, design workflows, and create reports that support business functions. Skills & Requirements: Educational and Experience Requirements: A Bachelor's degree (preferably in Computer Science, Information Technology, or a related field) or equivalent work experience. 1-3 years of software development experience, with knowledge in technologies such as EDI, Web Services, API, SOAP, REST, XML, XSLT, Java, .NET, and other integration technologies. Familiarity with Workday (experience with Workday Studio is a plus). Previous experience with middleware technologies such as WebLogic, WebSphere, and Web Methods. Exposure to data integration projects and an understanding of the System Development Lifecycle methodology. Key Skills and Abilities: Strong analytical, troubleshooting, and problem-solving skills. Excellent verbal and written communication skills to engage with diverse teams and stakeholders. Ability to handle multiple projects and initiatives simultaneously in a fast-paced, evolving environment. Familiarity with object-oriented programming and web services. Ability to learn and adapt to new software and technologies quickly. At Cencora, we offer more than just a job; we offer an opportunity to make an impact. You ll be working with talented, passionate people in a fast-paced, collaborative environment, where innovation is encouraged. Alongside a competitive benefits package, we promote a culture of respect and inclusivity, ensuring that everyone has the opportunity to thrive. Qualification : Bachelor's degree is required, preferably in related field or equivalent work experience