Associate Engineer 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

Software Test Engineer (Auto & Manual Testing) Designation: Software Test Engineer Location: Pune | Experience: 6 10 years Qualifications: Any Graduate Degree Technical Expertise Automation Testing Scripting: Hands-on experience writing scripts using Core Java or C#. Tooling: Proficient with RFT, Ranorex, Selenium WebDriver, Appium, or Coded UI. Architecture: Ability to design and implement automated test frameworks from scratch. Manual Testing & QA Processes Full mastery of the Software Testing Life Cycle (STLC) and standard QA processes. Expertise in Test Planning, strategy development, and execution. Cross-Platform Testing: Writing and executing test cases for Desktop, Web, and Mobile applications. Communication: Excellent command of English (written and verbal) for documentation and reporting. Behavioral Competencies Collaboration: Strong team player with a focus on cross-functional partnership. Adaptability: Agile mindset, comfortable with shifting priorities and new technologies. Accountability: Self-motivated and proactive; takes full ownership of tasks. Qualification : Any Graduate Degree

Legal Operations Associate Location: Pune | Employment Type: Full-Time About Redaptive Redaptive helps large companies modernize infrastructure with no upfront capital through Infrastructure Monetization. Founded in 2015 and headquartered in Denver, Colorado, we operate across 12,000+ sites in over 10 countries with a mission-driven, fast-paced culture. Position Summary Redaptive is seeking a Legal Operations Associate to support day-to-day activities within the Legal Department. This role is responsible for managing contracts, tracking legal workflows, and supporting compliance and process improvement initiatives in a growing, fast-paced organization. Key Responsibilities Contract Management & Tracking Prepare and file legal and corporate documents in internal systems. Maintain accurate records of contracts, legal files, and correspondence. Monitor contract lifecycles, including signature routing, renewals, and expirations. Coordinate contract requests between internal stakeholders and the Legal Department. Workflow Coordination Triage incoming legal requests and support task allocation to optimize turnaround times. Serve as a liaison between the Legal Department and other internal departments. Department Support Support legal due diligence, audits, and compliance documentation efforts. Liaise with external counsel and vendors for document collection. Participate in process improvement initiatives to enhance efficiency. Required Skills & Qualifications Software Tools: Familiarity with document management tools (e.g., Contract Wrangler, SharePoint, Salesforce). Task Management: Experience with ticketing systems such as JIRA or Asana. Technical Skills: Proficient in Microsoft Office Suite (Word, Excel, Outlook, PowerPoint). Knowledge: An understanding of legal document types is a plus. Experience: 1 2 years in a legal, compliance, or corporate administrative environment. Education: Bachelor s degree in Law, Business Administration, or a related field. Perks & Benefits Financial Wellbeing: Competitive pay, performance bonuses, and equity participation. Flexibility: Hybrid work model and generous paid time off. Growth: Access to continuous learning programs and certifications. Live Well: Comprehensive health insurance and Employee Assistance Program. Qualification : Bachelors degree in Law, Business Administration or a related field

Job Title: Security Engineer Location: Pune We are looking for a skilled Security Engineer to join our Cloud Infrastructure & Security team. In this role, you will be responsible for managing and securing all aspects of e-commerce product security and compliance within the AWS cloud environment. The ideal candidate will have a strong background in application and infrastructure security, vulnerability assessment, penetration testing, and a proven track record of participating in security audits. Key Responsibilities: Lead and participate in security audits across multiple environments, including web security, application security, mobile app security, network security, and IT infrastructure security. Conduct thorough Vulnerability Assessments and Penetration Testing (VAPT) to identify and mitigate potential risks in applications, AWS resources, configurations, and IT infrastructure. Collaborate with cross-functional teams to ensure the security of the e-commerce products, proactively identifying gaps in security and implementing the necessary controls. Prepare detailed VAPT reports using predefined templates and assist in finalizing audit reports for management. Coordinate with relevant teams to ensure timely resolution of identified security issues. Create and maintain security checklists, test cases, and test scenarios to facilitate security audits and penetration tests. Implement industry-standard security controls for AWS resources, including vulnerability management and configuration hardening. Perform penetration tests on computer systems, networks, and applications, identifying weaknesses and recommending solutions. Conduct physical security assessments of systems, servers, and network devices, focusing on firewall maintenance, network security, and other critical infrastructure components. Provide regular updates to management regarding security findings, vulnerabilities, and remediation plans. Review and offer actionable feedback on information security issues, collaborating with engineering teams to ensure timely fixes. Drive improvements in security services, including hardware, software, policies, and procedures. Identify areas for enhancing security education and awareness among internal users. Stay current with the latest malware and security threats, ensuring that the security strategy is responsive to new challenges. Manage and monitor security operations with AWS, XDR/EDR, Microsoft O365 security, and SaaS-based applications. Desired Skills & Experience: 5+ years of experience in AWS application and infrastructure security, Vulnerability Assessment, and Penetration Testing. At least 2 security audits completed, with at least one audit performed in the past 12 months. Solid experience working in heterogeneous environments and specifically with AWS Cloud. Product-based company experience is a plus. Hands-on expertise with VAPT using industry-standard tools such as Qualys, Nessus, WebInspect, Acunetix, Metasploit, Burp Suite Pro, Netsparker, etc. Strong experience with Linux administration and security (hardening servers according to industry best practices). Familiarity with OWASP security requirements and experience implementing them across applications and infrastructure. Proficiency in penetration testing on web and mobile applications, cloud environments, and network infrastructures. AWS Security experience is mandatory. Experience with XDR/EDR, Microsoft O365 security, and SaaS security is highly desirable. Strong analytical skills and the ability to identify vulnerabilities and risks across platforms. Certifications: CCNA, CompTIA+, or similar; AWS Security Specialty or similar certifications are preferred. Excellent communication skills, with the ability to collaborate effectively with both technical and non-technical teams. Strong organizational skills and the ability to prioritize tasks effectively. Ability to work with a product-ownership mindset while maintaining security across all systems and applications. What We Offer: Competitive salary and benefits. A dynamic and collaborative work environment where innovation and security are top priorities. Opportunities for continuous learning and career growth in the field of cloud and cybersecurity. If you have a passion for security, experience with AWS, and want to be part of a growing team protecting critical infrastructure, apply today!

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.

Automation Engineer II Location: Pune About Rapid7 At Rapid7, we are creating a more secure digital future for all by helping organizations strengthen their security programs in the face of accelerating digital transformation. Our portfolio of industry-leading solutions empowers security professionals to manage risk and eliminate threats across the entire threat landscape from applications and cloud environments to traditional infrastructure and the dark web. Trusted by over 10,000 customers worldwide, we are committed to fostering open-source communities and driving innovation through cutting-edge research. At Rapid7, we believe in optimizing our products by leveraging the latest insights into attacker methods, arming the global security community with the tools to stay ahead of threats. Position Summary We are looking for a talented Automation Engineer to join our Enterprise Applications team. This role focuses on developing and maintaining integrations and automation solutions using Workato. As an Automation Engineer, you will work closely with Business Systems Analysts to understand requirements, collaborate with cross-functional teams, and partner with Quality Assurance Engineers to ensure that integrations and automation workflows meet business needs. You will also handle unit testing, ensure thorough documentation, and use tools like Jira and Confluence for task management and collaboration. Key Responsibilities Integration Development: Design, develop, and maintain integrations between key enterprise systems (Salesforce, NetSuite, Data Warehouses, Workato, etc.) to ensure seamless data flow and process automation across platforms. Automation Solutions: Build and implement automated workflows using Workato to streamline internal business processes, reduce manual tasks, and enhance system efficiencies across various departments. Cross-functional Collaboration: Collaborate with engineers, business teams, and QA Engineers to ensure that integration solutions align with both technical requirements and business objectives. Requirement Gathering: Partner with Business Systems Analysts to gather requirements, understand business needs, and identify opportunities for process automation and integration improvements. Unit Testing & Debugging: Perform unit testing for integrations and automation workflows, debug issues as needed, and ensure the code meets quality standards before deployment. Task Management (Jira): Use Jira to manage tasks, track user stories, and address bugs related to integrations and automation workflows. Participate in sprint planning, stand-ups, reviews, and retrospectives to ensure smooth project execution and delivery. Documentation: Create and maintain detailed documentation for all integrations, workflows, and automation processes, ensuring that all technical configurations, code, and test results are clearly documented for future reference. Support & Troubleshooting: Provide ongoing support for deployed integrations, troubleshoot issues as they arise, and implement timely fixes to maintain operational continuity. Process Improvement: Contribute to continuous improvement initiatives by identifying opportunities to enhance automation workflows, increase efficiency, and reduce errors in integration processes. Key Requirements Experience 2+ years of experience in integration and automation development with a strong focus on Workato. Proven experience building and maintaining integrations between enterprise systems like Salesforce, NetSuite, or similar platforms. Demonstrated experience working with cross-functional teams, including collaboration with Business Systems Analysts and QA Engineers. Technical Skills Expertise in using Workato for integration and automation solutions. Solid understanding of API integrations, RESTful services, and data formats such as JSON and XML. Proficiency in unit testing, debugging, and troubleshooting integration workflows. Experience using version control systems such as Git. Familiarity with other integration tools and platforms is a plus. Jira Experience Comfortable using Jira for task tracking, managing sprints, and collaborating with cross-functional teams. Communication & Problem-Solving Strong ability to communicate technical concepts to non-technical stakeholders clearly and effectively. Strong analytical and troubleshooting skills to resolve integration and automation challenges efficiently. Ability to create clear, concise, and well-organized technical documentation. Education & Nice to Have A degree in Computer Science, Information Technology, or a related field is preferred. Familiarity with Agile development methodologies and tools like Jira. Experience with cloud platforms such as AWS or GCP and their integration capabilities. Security and Compliance At Rapid7, we prioritize the security of our customers and employees. All team members are expected to uphold the highest standards of security and privacy, ensuring the protection of sensitive information and compliance with relevant regulations. Qualification : A degree in Computer Science, Information Technology or a related field is preferred

Lead Salesforce Engineer Location: Pune About Rapid7 Rapid7 is a publicly traded cybersecurity company headquartered in Boston, MA, with 17 offices around the world. As we expand our global footprint into India, we are excited to grow our internal Application Engineering team. As a Salesforce Engineer, you will work alongside a global team to deliver best-in-class Salesforce solutions that meet business needs and optimize user experiences. You will have hands-on experience with Sales Cloud, Service Cloud, Experience Cloud, and CPQ, and you ll be proficient in both declarative configurations and advanced Apex coding. This is a unique opportunity to be one of the first hires for Rapid7 in India as we support our growth strategy in a culture that encourages innovation and continuous learning. About the Role As a Salesforce Engineer, you will design, develop, and support Salesforce solutions on Sales and Service Clouds. Working closely with other Salesforce team members, application owners, IT departments, and business stakeholders, you will deliver solutions that meet both technical and business requirements. Key Responsibilities Salesforce Administration: Manage and configure Salesforce environments, including Sales Cloud, Service Cloud, and Experience Cloud. Oversee system health, user permissions, profiles, workflows, and security settings. Implement and maintain changes using declarative tools such as Process Builder, Flow, and Validation Rules. Apex Development: Write and maintain Apex classes, triggers, Visualforce pages, and Lightning Web Components (LWC). Collaborate with senior developers and architects to design scalable solutions. Troubleshoot, optimize, and debug Apex code to ensure performance and stability. Unit Testing: Develop and maintain unit tests for custom Apex code, ensuring test coverage aligns with Salesforce best practices. Conduct comprehensive testing of code changes and strive for zero defects while optimizing test performance. CPQ (Configure, Price, Quote): Configure and manage Salesforce CPQ features, including price books, quote templates, products, and pricing rules. Troubleshoot CPQ-related issues and provide support for streamlining the quoting process. Collaboration and Support: Work with business analysts and other team members to gather requirements and deliver solutions. Maintain comprehensive documentation for configurations, workflows, code, and other technical solutions. Release Management: Utilize Gearset for deployment and release management, ensuring smooth Salesforce code and configuration deployments across multiple environments. Plan, execute, and document deployment processes, ensuring error-free releases through automated validation and rollback strategies. Jira Integration and Task Management: Use Jira for task management, project tracking, and collaborating on development sprints. SOX Controls & Change Management: Adhere to SOX controls to ensure compliance with IT regulations and auditing standards. Follow change management policies and procedures for implementing configurations, scripts, and integrations, ensuring all changes are properly tested, documented, and approved. Skills and Qualifications Experience & Certifications 8+ years of hands-on experience with Salesforce Sales Cloud, Service Cloud, Experience Cloud, and CPQ. Salesforce Certifications (ADM 201, ADM 211, Platform Developer I and II) are highly desirable. Strong experience with Salesforce integrations, APIs, and external systems. Experience using Jira for task and project management in an Agile environment. Hands-on experience with Gearset for deployment and release management in Salesforce. Technical Skills Expertise in Apex, Visualforce, Lightning Web Components (LWC), SOQL, and SOSL. Strong knowledge of Salesforce CPQ features and pricing rule configuration. Ability to write efficient, scalable unit tests for custom Apex code. Familiarity with Git and version control practices. Soft Skills & Attributes Strong analytical and problem-solving skills. Excellent communication skills, with the ability to work remotely with a global team. Detail-oriented with the ability to manage multiple tasks concurrently. Preferred Qualifications Experience working with global teams, especially in an Agile framework. Knowledge of Salesforce integrations (e.g., REST, SOAP APIs) and third-party tool integrations. Experience with Salesforce Data Loader, Change Sets, and Salesforce DX. Security and Compliance At Rapid7, we prioritize security and privacy. All employees are expected to adhere to the highest standards of security, ensuring the protection of sensitive information and compliance with applicable regulations.

Manager, Software Engineer - Python Location: Pune About Rapid7 & The Team Rapid7 is a leading cybersecurity company committed to creating a secure digital world for over 10,000 global customers. The **Vulnerability Coverage Team** is integral to this mission, delivering **timely and accurate vulnerability content** for products like **InsightVM** and **InsightCloudSec**. The team specializes in technologies including **Python**, Java, Ruby, AWS, and Kubernetes, ensuring customers receive monthly updates and immediate coverage against emerging threats. About the Role As the **Manager, Software Engineering**, you will be responsible for leading the Vulnerability Coverage Team. Your primary focus will be on **driving operational excellence**, ensuring the reliable delivery of high-quality vulnerability content, and managing the team's contribution to products that keep customers protected. You will serve as a key link between engineering and product strategy. Key Responsibilities Team Management & Mentorship: **Lead, coach, and mentor** Software Engineers, providing guidance, setting clear expectations, and fostering a culture of continuous learning and growth. Identify and support **career development opportunities** for team members. Project Management: **Manage and prioritize high-impact projects**, ensuring the timely delivery of vulnerability content and related initiatives. [Image of Agile Software Development Workflow] Coordinate cross-functional projects, including **risk assessment** and communicating progress to leadership. Collaboration: Work closely with **Product Management, UX, and Engineering teams** to align roadmaps, prioritize new coverage, and strategically address customer pain points. Ensure cohesive execution of initiatives across different organizational units. Quality & Process Improvement: Maintain a sharp focus on **quality and operational excellence**. Continuously drive improvements to **testing, monitoring, and alerting** processes to ensure content accuracy and reliability. Emerging Threat Coverage: Lead the team's effort to respond **quickly to emerging vulnerabilities** and provide immediate coverage. Oversee the development of **automation pipelines** to streamline content delivery and vulnerability response processes. Skills & Experience Leadership & Management **2-3 years of experience managing software engineering teams**, with a strong track record in developing and mentoring engineers. Proven experience in **scoping work, prioritizing tasks, and managing multiple high-impact projects**. Technical Expertise Strong foundation in **software engineering** with the ability to read design documents and review code. **Python proficiency** is highly desirable, with knowledge of related technologies (e.g., **AWS, Kubernetes**) being a plus. Domain & Soft Skills A strong focus on **understanding customer needs** and translating feedback into actionable engineering requirements. Excellent **cross-functional communication skills** for working with Product Management, UX, and other Engineering teams. Preferred Qualifications Familiarity with the **security landscape**, including vulnerability management and response to emerging threats. Experience with security tools like **InsightVM or InsightCloudSec**. BEng, BSc, or related degree in a technical field. Drive innovation on cutting-edge security solutions that **impact customers globally**. Play a pivotal role in solving some of the world s toughest **cybersecurity challenges**. Thrive in a culture of collaboration, continuous learning, and improvement.

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.

Software Test Engineer Designation: Software Test Engineer (Manual & Automation Testing) Location: Pune Experience: 6 10 years Qualifications: Any Graduate Degree Skills & Technologies Automation Testing Skills: Proficient in writing automated test scripts using Core Java or C# Experience with automated testing tools such as: RFT (Rational Functional Tester) Ranorex Selenium WebDriver Appium Coded UI or similar tools Ability to design and implement automated test frameworks Manual Testing Skills: Extensive experience in manual testing across desktop applications, web applications, and mobile apps In-depth understanding of the software testing lifecycle (STLC) and testing processes Strong skills in test planning, writing test cases, and test execution Additional Skills: Strong English communication skills (both written and verbal) Experience with test case creation, defect tracking, and reporting Behavioral Competencies Strong team player with a collaborative mindset Eagerness to learn new technologies and methodologies Agile and flexible, with a proactive attitude Self-motivated and results-driven Willingness to take ownership of tasks and projects Role & Responsibilities Develop and execute automated and manual test cases for desktop, web, and mobile applications Design and implement automation test frameworks to improve testing efficiency Collaborate with developers and other team members to ensure quality throughout the development lifecycle Create, document, and maintain detailed test plans and reports Identify defects early and work with the development team to troubleshoot and resolve issues Take ownership of assigned testing tasks and ensure timely completion Continuously improve testing practices and explore new tools and technologies Qualification : Any Graduate Degree

Data Engineer BI Analytics & DWH Location: Pune About Calfus At Calfus, we develop cutting-edge AI agents and software products that enable businesses to unlock the full potential of AI transforming operations, boosting revenue, and driving innovation. From startups to global enterprises, our clients trust us to deliver engineering excellence. Our teams have built ERP and cloud solutions that integrate seamlessly with core business systems, streamlining manual processes and empowering teams to focus on high-impact work. As one of the fastest-growing companies in our sector, we thrive on collaboration, speed, and innovation. If you re driven by impact and love working in fast-paced environments, we want to hear from you. About the Role We re looking for a Data Engineer with 3 4 years of experience to join our Business Intelligence & Data Warehouse team. In this role, you'll be responsible for building robust data pipelines, designing scalable data models, and supporting analytics and reporting capabilities. You will work with modern tools like Azure Data Factory, Databricks, and Snowflake, and help deliver reliable, performant data infrastructure for internal and client-facing initiatives. What You ll Do ETL/ELT Development Build and maintain efficient ETL/ELT pipelines using Azure Data Factory, Databricks, or equivalent. Ingest and consolidate data from multiple sources into data warehouses or data lakes. Data Modeling & Warehousing Design and implement relational and dimensional models suited for business reporting. Work with databases such as Snowflake, Redshift, Postgres, or SQL Server. SQL & Database Engineering Write performant SQL queries, stored procedures, and scripts for data transformation. Implement complex joins and aggregations for analytical workloads. BI & Visualization Support Collaborate with business users to support reporting in Power BI or Tableau. Enable data-driven decisions through accessible and accurate data models. Performance & Data Quality Monitor pipeline jobs for failures, performance issues, and delays. Apply data validation checks to ensure the integrity and accuracy of data. Bachelor s degree in Computer Science, Data Engineering, Information Systems, or related field. 3 4 years of hands-on experience in data engineering, with strong skills in ETL/ELT, SQL, and data modeling. Experience with cloud platforms (Azure, AWS) and tools like: Azure Data Factory Databricks SQL Server, Postgres, Redshift, or Snowflake Basic understanding of Python for scripting and automation. Familiarity with file formats like JSON, Parquet, and CSV. Exposure to BI tools such as Tableau or Power BI (nice to have). Benefits @ Calfus Medical, group, and parental insurance Provident fund & gratuity Birthday leave and wellness support High-growth, high-impact environment Diversity & Inclusion Calfus is proud to be an Equal Opportunity Employer. We believe that diversity drives innovation, and we are committed to fostering an inclusive, supportive, and respectful environment for all. Qualification : Bachelors degree in Computer Science, Data Engineering, Information Systems, 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.

Job Title: Supervisor Quality Assurance Engineer (Finishing Works) Location: Pune Department: Construction Management Experience Required: 10 to 17 Years Qualification: Diploma in Engineering (Civil preferred) Employment Type: Full-Time Role Objective To ensure robust quality assurance across all finishing-related construction activities in residential projects, including inspections, testing, snagging, and final handover of units. The candidate will be responsible for enforcing quality standards, coordinating with design teams, and driving continuous improvement in finishing work execution. Key Responsibilities Finishing Works Quality Assurance Oversee and inspect finishing works such as: Gypsum plaster Tile and marble flooring Internal and external texture paint systems Ensure all activities comply with project specifications, standards, and regulatory requirements. Testing & Inspection Prepare and implement Inspection & Testing Plans (ITPs) for all finishing works. Carry out detailed inspections of: Fa ade systems, ACP cladding, aluminum windows and doors Wooden/steel fire-rated doors and ensure compliance with local fire safety regulations. Doors, frames, and associated hardware including quality, alignment, and finishes. Perform snagging and de-snagging of completed units before handover. Mock-ups & Coordination Coordinate with architects and project stakeholders to: Develop and get approvals on mock-ups for various finishing elements. Implement feedback and finalize finishing details. Documentation & Methodology Prepare work method statements for all major finishing activities. Maintain detailed records of inspection outcomes, non-conformities, and corrective actions. Handover Process Work closely with the HPM (Handing Over Project Management) team for timely and quality-driven handover of residential flats. Ensure compliance with quality benchmarks before unit release. Other Key Areas Familiar with finishing activities for multi-level car parking structures. Monitor material quality and performance through on-site testing. Support QA activities across architectural finishing scope on site. Required Skills & Competencies Strong understanding of finishing materials, specifications, and application standards In-depth knowledge of quality control procedures and construction site quality assurance Effective problem-solving skills related to finishing execution Ability to read and interpret architectural drawings Collaborative mindset for coordinating with site teams, architects, and consultants Languages Proficiency in English, Hindi, and Marathi (preferred) Qualification : Diploma in Engineering (Civil preferred)

Job Title: Associate Solution Engineer Location: Pune, Maharashtra, India Travel: Occasional business travel may be required About BMC At BMC, trust is more than a value it s how we operate. We re an award-winning, inclusive, and vibrant workplace where diverse perspectives fuel innovation and growth. We believe in balancing life and work, celebrating wins (big and small), and giving back to the communities we serve. Your voice matters here, and your individuality is celebrated. We help our customers become Autonomous Digital Enterprises by enabling them to scale, innovate, and lead in the digital era. The Opportunity Join BMC Helix s Digital Solution Engineering team as an Associate Solution Engineer a role designed for emerging tech professionals who want to build a career at the intersection of technology, customer impact, and business value. Whether you're a recent graduate or have 1 3 years of experience, this is your opportunity to dive deep into enterprise platforms, AI innovation, and next-gen service management. About BMC Helix BMC Helix is our cutting-edge, AI-powered platform for IT Service and Operations Management (ITSM, ITOM, AIOps). With a containerized, microservices-based architecture, it supports flexible deployment across cloud, hybrid, and on-prem environments. BMC Helix empowers enterprises to go from reactive support to predictive, autonomous operations using advanced capabilities like Agentic AI and cross-domain automation. What You ll Do Work with global solution engineering and sales teams to support customer engagements and design compelling, tailored solutions. Participate in discovery sessions to understand client requirements and business objectives. Deliver engaging, value-driven demos that highlight BMC Helix s strengths like intelligent automation, Agentic AI, and seamless integrations. Assist in designing proof-of-value solutions, configurations, and presentations. Translate complex technical concepts like microservices, APIs, and hybrid deployments into clear, customer-centric value propositions. Collaborate with internal teams (Product, Strategy, Sales) to ensure alignment with customer needs and market trends. Stay current on emerging trends in GenAI, LLMs, ITSM, ITOM, and enterprise digital transformation. What You Bring Bachelor s degree in Computer Science, Information Technology, Engineering, or a related field. 0 3 years of experience in a technical, consulting, or customer-facing role. Excellent communication and presentation skills; able to engage both technical and business stakeholders. Interest or hands-on exposure to Generative AI and Large Language Models (LLMs). Foundational knowledge of cloud platforms (AWS, Azure, GCP), microservices, containers (Docker, Kubernetes). Curiosity for technology and enterprise IT challenges; proactive and eager to learn. Exposure to platforms like BMC Helix, ServiceNow, Jira Service Management, or similar is a plus. Basic scripting or API understanding (Python, JavaScript, REST APIs). Familiarity with ITIL, DevOps, or service management concepts. Fluent in English; multilingual proficiency (e.g., Spanish, French, German, Italian) is a bonus. Work with industry-leading platforms and AI technologies Be part of a collaborative, global team shaping the future of digital operations Learn from experienced mentors and participate in enablement programs Thrive in a culture that values your authenticity, creativity, and growth No problem. If you're passionate about this opportunity and BMC s mission, we still encourage you to apply. We value potential just as much as experience. BMC is proud to be an equal opportunity employer. Qualification : Bachelors degree in Computer Science, Information Technology, Engineering, or a related field.

Senior ETL Engineer Location: Pune Role Overview: We are seeking a Senior ETL Engineer to design, develop, and optimize our end-to-end data infrastructure, including ETL pipelines, data lakes, and data warehouses. This role is instrumental in enabling reliable, scalable, and high-performance data operations while aligning with data governance best practices. You will be an integral part of a collaborative data team, working closely with Data Engineers, Architects, Analysts, Scientists, and other stakeholders to modernize and migrate our data systems to the cloud. Key Responsibilities: Convert SSIS stored procedures into Matillion mappings, and develop associated job schedules and audit frameworks. Design, build, and maintain efficient ETL pipelines to extract, transform, and load data from multiple sources into the data lake and data warehouse. Implement both full and incremental loads using SCD (Slowly Changing Dimensions) and CDC (Change Data Capture) methodologies for real-time and batch data processing. Develop and maintain robust error handling, job monitoring, and job audit mechanisms. Conduct data profiling, data cleansing, and root cause analysis to resolve data inconsistencies and improve data quality. Optimize data pipelines for performance, scalability, and data quality, using benchmarking and tuning techniques. Build dashboards or reports for ETL job monitoring, performance tracking, and system health checks. Support data governance practices, ensuring accuracy, availability, and security of production data. Contribute to cloud migration initiatives, transitioning data workloads from on-premise systems to modern cloud data platforms. Required Skills & Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. 5+ years of experience as an ETL Engineer, Data Engineer, or in a similar data engineering role. Experience with cloud-based data platforms such as AWS, Azure, or GCP. Proficiency with data warehousing technologies like Snowflake, Redshift, Azure Synapse, or Databricks. Hands-on experience with ETL tools such as Matillion, SSIS, Informatica, AWS Glue, Azure Data Factory, StreamSets, STRiim, Oracle ODI, Coalesce, or Talend. Solid understanding of data modeling principles (E/R and Dimensional Modeling) and tools like ER/Studio or ERwin. Proficiency with SQL and programming/scripting languages such as Python, Scala, or Java. Experience with database tools such as Microsoft SSMS or Oracle Developer. Strong analytical, problem-solving, and data troubleshooting skills. Excellent communication and collaboration abilities. Ability to work efficiently in a fast-paced, agile, and dynamic environment. Qualification : Bachelor's degree in Computer Science, Engineering, or a related field.

Position Summary This role will be responsible for in-patient journey analysis and working with patient-level data to develop a robust solution for the client's teams. An expert in Patient Analytics who can guide and lead the team supporting pharma clients. Job Responsibilities Understanding & working experience towards patient analytics like patient journey, persistency, adherence, patient identification etc. Experience using various patient level data like APLD, EHR, patient registries etc. Can work across a variety of projects from advanced analytics, ad-hoc analysis and reporting. Strong in logical reasoning, structuring of analysis, asking the right questions and logical approach to analyse data, problems, and situations. Proficient in Microsoft Office suite. Teamwork and collaboration and can mentor junior associates. Articulate in communication written or verbal and able to convey ideas and information clearly to client or client facing teams. Willingness to learn and innovate. Experience in pharmaceutical sales and marketing analytics would be preferred. Contribute towards Axtria tools and capabilities as per the business requirements. Build organization capabilities by participating in Hackathon, solution design, and process automation. Effectively communicate with onshore/ client (as per business needs). Education Bachelor of Engineering in Others Bachelor Equivalent - Engineering Work Experience Overall 4-6 years of rich experience in the Pharmaceutical / Life Sciences Domain. We are looking for experts in the space of commercial pharmaceutical analytics- HCP analytics, payer analytics, and patient analytics. Relevant experience in Statistical/ modeling knowledge, ability to transform data to insights, good data visualization/ reporting skills. Exhibit expertise on pharma real-world data like APLD, EMR, Prescription data, formulary data etc. Worked on advanced analytics in the pharma domain throughout the patient journey like the line of therapy, switch analysis, source of business, segmentation, persistence & compliance, etc using various data sources. Strong communication, project management, and storyboarding skills. Technical knowledge- R/ Python/ SQL. Knowledge of self-service analytics platforms such as DataiKU/ KNIME/ Alteryx will be an added advantage. MS Excel knowledge is mandatory. Experience in Pharma commercial analytics experience will be preferred. Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Project Management Communication Technical Competencies Python SQL EXCEL Machine Learning Pharma Commercial Know How Patient Data Analytics Know How Others

Company Description Calsoft is a leading technology-first partner providing digital and product engineering services with over 25 years of experience. Role Description This is a full-time on-site role for an Associate Director / Director in Business Development for Calsoft s new Gen AI Practice. This is a new practice and an opportunity to build and be part of a team from the ground up. They will be responsible for hiring and leading an inside sales team of 2-3 people. The Associate Director will be located in Pune or Bengaluru and will have the following responsibilities: Responsibilities Responsible for business development and sales of Calsoft s AI practice. Be responsible for a revenue target at a personal and team level. Be a hands-on manager, drive the sales team, and ensure their productivity and efficiency in meeting the target. Be responsible for hands-on calling, lead generation, and closing of new accounts to meet the revenue goals. Work in collaboration with the engineering and presales teams. Activities in scope include prospecting for new business, detailed qualification of sales opportunities, management of the sales cycle, and negotiation of contracts and agreements. Develop and implement sales strategies while keeping both short- and long-term goals in perspective. Qualifications Strong leadership, management, and collaboration skills. Prior experience selling AI or ML services preferred. Excellent communication and interpersonal skills. Should have managed an inside sales team from India but also be hands-on with individual contributor experience. Experience selling into the US and Europe markets. Strong analytical and problem-solving skills. Degree in Computer Science or a related field preferred. Qualification : Degree in Computer Science or a related field preferred.

Role Summary Product Design Engineer (Refrigerator Design) As a Product Design Engineer at Whirlpool, you will lead the design and development of parts for refrigerator products, focusing on plastics, sheet metal, and associated processes. You will leverage your expertise to drive the product lifecycle, from conceptualization to successful market delivery, ensuring that designs are manufacturable, reliable, and meet stringent safety standards. This role involves managing multiple projects, applying technical tools, and ensuring comprehensive project execution in a global engineering team environment. Educational Qualifications B.Tech in Mechanical Engineering or M.Tech in Design Engineering. Experience: B.E: 15-18 years M.Tech: 12-15 years Technical Expertise Design & Engineering: Proficiency in plastics and sheet metal design, specifically for refrigerator products. Solid understanding of engineering principles, including design for assembly, reliability, manufacturability, and safety. Expert in GD&T (Geometric Dimensioning & Tolerancing), design standards, and variation analysis. Strong skills in conceptualization, analytical thinking, and project planning/management. Ability to interpret simulation/test results to validate and improve designs. Project Management & Methodologies: Demonstrated ability to manage multiple projects simultaneously. Proficient in using APQP, OPEX/Six Sigma methodologies, and Lean tools for process improvement. Expertise in project planning, scope management, and risk management. Experience with tools like Concept Selection Matrix, DFMEA, Tolerance Stack-Ups, DVP, etc. Strong communication (written and verbal) and presentation skills. Managerial Expertise Global Team Experience: Exposure to working within a global engineering team, collaborating across diverse cultures and regions. Leadership Skills: Ability to coach, mentor, and direct engineers in subgroups, fostering an environment of growth and innovation. Flexibility & Adaptability: Skilled in adapting to fast-changing business needs and project priorities. Structured & Self-Organized: Ability to stay organized and structured in a dynamic, fast-paced work environment. Key Responsibilities Design and Documentation: Lead the design and release of product/subsystem/module/component designs and drawings as per project timelines and targets. Develop Design Validation & Verification Reports (Lab requests, Prototyping requests, Simulation requests). Document design guides, key suppliers, subsystem roadmaps, and ensure IP creation with an innovation-driven approach. Project Management: Drive projects using established product development processes across cross-functional teams. Manage project scope, schedule, and risk management to ensure execution aligns with agreed plans and cost targets. Lead and own cross-functional projects, coordinating with internal and external stakeholders. Develop and implement best practices for project management and work package management techniques. Technical Application & Tools: Apply Six Sigma tools (Certified Green/Black Belt), RCA, 8D, A3, DFMEA, and APQP methodologies. Utilize CAD tools (Creo 4.0/6.0), PLM Software (Windchill), and GD&T for tolerance stack-up analysis and design for variation. Conduct Value Analysis/Value Engineering (VAVE) and apply techniques to optimize designs and reduce costs. Additional Skills and Qualifications Certifications: PMP certification or equivalent project management training. Proven track record in leading product development projects, ensuring successful product integration across functions. In-depth experience working with global technology centers, vendors, manufacturing, and procurement teams to implement projects in production. At Whirlpool, you ll have the opportunity to work on innovative products that impact lives around the world. We value diversity and are committed to fostering an inclusive and supportive work environment where all employees are empowered to thrive.

VACANCY FOR SALES ENGINEER We are seeking a highly skilled Sales Engineer Who will be responsible for concluding direct sales of Alfa Laval products / Projects and services within a defined area of responsibility ( Pan India). Working with the support of the line manager or another experienced field sales person. About the Company: In Alfa Laval, Every day, we get opportunities to make a positive impact on our colleagues, partners, customers and society. Together, we re pioneering the solutions of the future and unlocking the full potential of precious resources. Trusted to act on initiative, we challenge conventional thinking to develop world-leading technologies that inspire progress in vital areas, including energy, food, water and shipping. As we push forward, the innovative, open spirit that fuels our 140-year-old start-up culture and rapid growth also drives our personal growth. So, as we shape a more resourceful, less wasteful world, we build our careers too. Please feel free to peruse our website www.alfalaval.com. The position / About the Job: Job Description Key Tasks : Follow established sales processes and guidelines to promote and sell Alfa Laval Projects specific for Oils & Fats System & associated Products and services. Be active in the market and focus on making visits, meetings and interactions with already existing customers, focusing on customer needs understanding and highlighting the value of our Process, products and services. Develop value quotes reflecting the customer needs stressing the unique selling points and follow up. Finalization /Conclusion of order after details techno commercial discussions aligning with Alfa Laval guideline. Travelling and generating leads . Use the CRM tool and other tools in a consistent and qualitative way, to support the sales process and take decisions. Knowledge: B. Tech Chemical / Oils & Fats Technology are Preferred Skills: 5-10 years in Edible oil Industry and / or Sales experience of Capital goods to Edible oil Industry shall be an advantage. including relevant experience in sales management. Attitude: Structured and systematic approach. Orientation on high quality and standards of work results. Team player with good communication and negotiation skills. Eager to share knowledge and experience with others. Customer-orientation and effective in cooperation. Self-driven and responsible also for others. Flexibility, Ready to Travel in short notice. We offer you an interesting and challenging position in an open and friendly environment where we help each other to develop and create value for our customers. Exciting place to build a global network with different nationalities to mingle and to learn. Your work will have a true impact on Alfa Laval s future success, you will be learning new things every day. Interested? Please apply for the position Note We care about diversity, inclusion and equity in our recruitment processes. We also believe behavioral traits can provide important insights into a candidate's fit to a role. To help us achieve this we apply Pymetrics assessments, and upon application you will be invited to play the assessment games. Qualification : B. Tech Chemical / Oils & Fats Technology are Preferred

Job Overview Senior Engineer - Data Analytics in the Manufacturing domain with 3-7 years of experience. Lead data analytics projects focusing on aerospace reliability and warranty analysis. Develop solutions using Python and Power BI, creating insightful dashboards. Analyze warranty and aftermarket data for valuable insights. Collaborate across teams to address challenges. Streamline data processes using VBA and MS Excel. Drive reliability analysis initiatives for product performance. Communicate findings effectively and mentor junior team members. Demonstrate strong project management and leadership skills. Preferred: Experience in After-market data analysis, strong communication skills, proficiency in VB.Net. Education: Bachelor of Technology or Bachelor of Engineering in Computer Science coupled with an MBA in Business Analytics or Data Science. Preferred certifications: Microsoft Certified: Data Analyst Associate and Certified Reliability Engineer (CRE). Roles & Responsibilities Lead and oversee data analytics projects with a focus on reliability and warranty analysis in the aerospace industry. Utilize Python and Power BI to develop advanced data analytics solutions and create insightful Power BI dashboards for stakeholders. Conduct in-depth analysis of warranty data and aftermarket performance to provide valuable insights and recommendations. Collaborate with cross-functional teams to understand and address the unique challenges of the aerospace aftermarket business. Apply expertise in VBA and MS Excel to streamline data processes and enhance data visualization. Drive reliability analysis initiatives to ensure product performance and customer satisfaction. Communicate findings effectively through reports and presentations. Mentor junior team members and contribute to their professional development. Demonstrate strong leadership skills in project management and team coordination. Maintain a high level of professionalism and uphold ethical standards in data analysis and reporting. Our ideal candidate Extensive experience in Python, Power BI, Warranty Analysis, Aerospace V&V (Verification and Validation) processes, and Reliability Analysis 3-7 years of experience with advanced proficiency in Python for developing data analysis scripts and automation tools Expertise in Power BI for creating interactive visualizations and dashboards In-depth knowledge of Warranty Analysis and Reliability Analysis methodologies Ability to apply VBA and MS Excel for data manipulation and analysis Education: Bachelor of Technology (B.Tech) or Bachelor of Engineering (B.E) in Computer Science or Information Technology, coupled with a Master of Business Administration (MBA) in Business Analytics or Data Science Certification: Microsoft Certified: Data Analyst Associate and Certified Reliability Engineer (CRE) preferred Company overview Altimetrik delivers outcomes for our clients by rapidly enabling digital business & culture and infuse speed and agility into enterprise technology and connected solutions. We are practitioners of end-to-end business and technology transformation. We tap into an organization s technology, people, and assets to fuel fast, meaningful results for global enterprise customers across financial services, payments, retail, automotive, healthcare, manufacturing, and other industries. Founded in 2012 and with offices across the globe, Altimetrik makes industries, leaders and Fortune 500 companies more agile, empowered and successful.Altimetrik helps get companies get unstuck . We re a technology company that lives organizations a process and context to solve problems in unconventional ways. We re a catalyst for organization s talent and technology, helping teams push boundaries and challenge traditional approaches. We make delivery more bold, efficient, collaborative and even more enjoyable. Qualification : Bachelor of Technology (B.Tech) or Bachelor of Engineering (B.E) in Computer Science or Information Technology, coupled with a Master of Business Administration (MBA) in Business Analytics or Data Science