ML 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

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!

Job Title: Java Architect Integration Engineering Location: Pune Team: Integration Engineering About Anchanto Anchanto is a global SaaS technology company that powers eCommerce automation and logistics solutions for enterprises and 3PLs. Our Integration Engineering team develops scalable, high-performance integrations connecting our products with marketplaces, ERPs, WMS, OMS, and other enterprise systems across the globe. We are looking for a seasoned Java Architect to lead the design, development, and delivery of our integration framework, guide engineering best practices, and define the technical vision for integrations that serve businesses worldwide. As a key driver of innovation, you will also champion the adoption of AI tools to enhance productivity, code quality, and development processes. The Role As a Java Architect Integration Engineering, you will: Define integration architecture standards, design patterns, and development best practices to ensure scalable and robust solutions. Lead the end-to-end design and development of integrations with a variety of internal and external systems, utilizing Spring Boot and modern Java frameworks. Collaborate closely with customers to understand their integration requirements, business processes, and objectives. Work with the solution team to document and finalize integration designs, architecture, and data mappings. Champion AI-driven development practices by integrating tools like Cursor AI and other AI-assisted coding solutions into the team s workflow. Partner with Product Management, Pre-Sales, and Implementation teams to translate business needs into actionable technical designs. Guide and mentor engineers, fostering a culture of technical excellence, innovation, and AI adoption within the integration team. Play a hands-on role in building Proof-of-Concepts (POCs), solving complex integration challenges, and driving mission-critical deliveries. Collaborate with leadership to define the roadmap for integration products and platform capabilities. Key Responsibilities Architect and oversee the implementation of integration solutions, leveraging Spring Boot, REST APIs, messaging systems, and event-driven architectures. Define and enforce integration design patterns (e.g., EAI, ESB, SOA, pub/sub, ETL) to ensure reusability, scalability, and maintainability. Lead technical discovery sessions with customers to understand integration requirements and create clear, actionable solution blueprints. Collaborate with internal solution architects, product managers, and customer success teams to ensure integration feasibility and alignment with business objectives. Introduce and evaluate AI-powered development tools, integrating solutions like Cursor AI, GitHub Copilot, and others into the engineering process to improve efficiency, code quality, and documentation. Promote a culture of AI-first problem solving in architecture design, code reviews, and automation within the team. Establish frameworks and automation to accelerate the onboarding of new integrations. Evaluate and recommend technologies, tools, and cloud services (primarily AWS) to optimize integration performance and scalability. Review solution designs and code to ensure adherence to architectural principles and coding standards. Support pre-sales activities with architecture diagrams, integration approaches, and technical feasibility assessments. Lead technical discussions with external partners, vendors, and enterprise customers to ensure alignment on integration strategies and solutions. Required Skills & Experience 15+ years of software development experience, with at least 3+ years as an Architect. Strong hands-on expertise in Java (Java 8+), Spring Boot, and microservices architecture. Solid understanding of integration patterns, enterprise architecture, and middleware solutions. Experience with REST APIs, messaging systems (Kafka, RabbitMQ), and data transformation (e.g., JSON, XML, CSV). Proficiency with AWS cloud services relevant to integration, such as API Gateway, Lambda, SQS/SNS, ECS, RDS, etc. Familiarity with CI/CD pipelines, Git workflows, branching/merging strategies, and code quality tools. Linux proficiency and experience with shell scripting. Experience building connectors/adapters for ERP, WMS, OMS, CRM, or eCommerce platforms is a plus. Exposure to integration tools such as TIBCO, Informatica, SnapLogic, WebMethods, or MuleSoft is advantageous. Strong problem-solving skills, with the ability to think out-of-the-box and adapt to evolving priorities. Excellent communication and leadership skills, with the ability to influence teams across functions. Bonus / Good to Have Experience in AI-assisted development, especially using tools like Cursor AI, GitHub Copilot, Tabnine, or similar. Familiarity with prompt engineering and integrating AI APIs (e.g., OpenAI, Anthropic) into developer tooling or backend services. Understanding of ML Ops principles and how AI models can be integrated into enterprise applications. A proven track record of evangelizing AI adoption in engineering teams to enhance productivity and foster innovation. Work on global integration projects for a leading SaaS platform serving top-tier retailers, brands, and logistics companies. Lead impactful projects utilizing cutting-edge Java, Spring Boot, AWS, and AI-driven development tools. Collaborate with a globally distributed product and engineering team in an innovation-driven environment. Contribute to the future of Anchanto s integration platform, shaping scalable and robust solutions for enterprises worldwide.

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

Job Title: Software Engineer Test II Location: Pune Company: TraceLink Experience: 3 4 Years Company Overview: At TraceLink, our mission is to protect patients by transforming the pharmaceutical supply chain through digital innovation. Our powerful Opus Platform and comprehensive suite of software solutions enable the industry to achieve greater compliance, visibility, and collaboration minimizing disruptions in medicine availability globally. Founded in 2009, TraceLink now operates across 8 global offices with 800+ employees, serving 1,300+ customers in over 60 countries. Recognized as an industry leader by Gartner, IDC, and for our company culture by Comparably, we continue to lead the way in life sciences supply chain innovation. Position Overview: We are seeking a skilled and detail-oriented Software Development Engineer in Test (SDET) to join our Pune-based team. As Software Engineer Test II, you will play a key role in developing and executing automated testing tools and frameworks, contributing to the quality and reliability of TraceLink s platform and applications. Key Responsibilities: Design, build, and maintain automation frameworks for functional, performance, and integration testing Execute automated and manual tests on the TraceLink platform and applications Build and extend tools for automated testing that simulate real-world transaction volumes (millions per day) Interface testing tools programmatically with TraceLink s platform and APIs Prepare clear, concise defect reports that aid quick reproduction and resolution Verify bug fixes and ensure test coverage for new features and defect resolutions Collaborate closely with development teams to incorporate testability into design and architecture Perform performance testing to identify bottlenecks and ensure system scalability Create testing tools usable by non-developers to promote broader adoption across QA Stay up-to-date on the latest testing technologies and best practices to improve test coverage and efficiency Provide high-level technical insights and contribute to continuous improvement of testing processes Respond to and handle support requests related to testing and test environments Qualifications: Bachelor's degree (or foreign equivalent) in Computer Science, Software Engineering, or related field 3 4 years of experience in software testing and test automation Proficiency in Java, Eclipse, Ant or Maven, and Unix/Linux Strong experience with test automation frameworks like TestNG or Pytest Experience testing web-based applications, Web Services, and REST APIs Proven experience in creating and executing formal test plans, test data, and configurations Familiarity with performance testing and identifying performance bottlenecks Good understanding of data structures and algorithms (DSA) Lists, Maps, Sets Experience in ETL processes and SQL scripting Strong debugging and analytical skills Ability to work in fast-paced, collaborative environments Preferred/Bonus Skills: Experience with cloud platforms, especially AWS Familiarity with running and maintaining cloud-based enterprise applications Exposure to the pharmaceutical or life sciences industry If you re passionate about automation, quality, and building tools that scale with complex systems, TraceLink offers a collaborative environment where you can make a real impact on patient safety worldwide. Qualification : Bachelor's degree (or foreign equivalent) in Computer Science, Software Engineering, or related field

Job Title: Senior Advanced Technical Services Engineer Location: Pune Experience: 5+ Years Company: TraceLink Department: Advanced Technical Services Company Overview: At TraceLink, we are transforming the global pharmaceutical supply chain to protect patients and ensure the availability of safe medicines worldwide. Our Opus Platform and innovative software solutions empower pharmaceutical companies to digitize operations, improve visibility, ensure compliance, and collaborate more effectively across complex global networks. Founded in 2009, TraceLink operates in 8 global offices, with 800+ employees, and serves 1,300+ customers across 60+ countries. Recognized by Gartner, IDC, and Comparably, we are proud to be a trusted industry leader and a great place to work. Position Overview: We are looking for an experienced and highly skilled Senior Advanced Technical Services Engineer to join our Pune-based team. As a senior member of the Advanced Technical Services team, you will lead technical issue resolution efforts, support internal tooling and data repair processes, and act as a technical mentor to the broader Technical Support organization. This role combines strong technical proficiency, problem-solving ability, and excellent interpersonal communication, playing a key role in enhancing customer satisfaction and internal team capabilities. Key Responsibilities: Resolve complex technical issues by working directly with TraceLink products and collaborating with internal teams to create custom solutions or internal tools Serve as a technical mentor and advisor to Technical Support Engineers Lead the triage, prioritization, and execution of customer data repair requests Create, maintain, and support scripts and tooling to enhance team productivity Act as a recognized Subject Matter Expert (SME) for 3 4 core TraceLink applications Document technical processes and deliver training to internal support teams Advocate for customer needs by collaborating with Product, Engineering, and other cross-functional teams to drive product improvements Analyze and troubleshoot application logs, errors, and complex integrations Skills and Competencies: Proficient in XML, JSON, CSV reading, parsing, and manipulation Working knowledge of scripting languages such as Perl, Python, Shell scripting Strong debugging and log analysis skills Ability to propose and evaluate multiple solutions to technical problems Understanding of B2B integration technologies such as AS2, SFTP, Web Services Extensive experience with tools including Microsoft Office, Google Workspace, Salesforce, Slack, and collaboration platforms Excellent verbal and written communication skills; strong documentation practices Highly self-motivated, with proven time management and project coordination skills Experience in mentoring, coaching, and cross-functional collaboration Proven ability to lead team efforts and resolve high-impact customer issues Strategic thinker who contributes to the continuous improvement of support processes Essential Qualifications: Bachelor s degree in Computer Science, Information Technology, or related field (or equivalent experience) Minimum 5+ years of experience in a technical customer-facing role, preferably within SaaS or enterprise software companies Strong understanding of UNIX/Linux environments and Java-based applications Working knowledge of ERP systems Fluent in written and spoken English (additional languages a plus depending on region) What You'll Gain: Opportunity to work on mission-critical systems that impact global patient safety Collaborate with a global team in a dynamic, high-growth company Mentorship opportunities and career development in advanced technical roles Work in an environment that values innovation, ownership, and teamwork If you're passionate about solving complex technical challenges, mentoring others, and making a meaningful impact in the life sciences sector, we invite you to join us at TraceLink. Qualification : Bachelors degree in Computer Science, Information Technology, or related field (or equivalent experience)

Job Title: Technical Support Engineer II Location: Pune Experience: 2 5 Years Company: TraceLink Department: Support and Service Company Overview: TraceLink s innovative software solutions and Opus Platform empower the pharmaceutical industry to digitize their supply chain, enhancing compliance, visibility, and decision-making. Our technology helps reduce disruptions in medicine supply, ensuring patients worldwide receive the treatments they need. Founded in 2009, TraceLink has expanded to 8 offices globally, with over 800 employees and more than 1,300 customers across 60+ countries. We are recognized as an industry leader by Gartner and IDC, and celebrated for our positive company culture by Comparably. Position Overview: As a Technical Support Engineer II, you will play a vital role within our Support and Service organization to ensure customer success and satisfaction. Your technical expertise and problem-solving skills will be key to helping customers implement and utilize TraceLink s Life Sciences Cloud solutions effectively. This role requires strong interpersonal skills combined with experience in web applications, UNIX systems, scripting, and troubleshooting complex technical issues. Key Responsibilities: Engage directly with customers and internal teams to understand, document, troubleshoot, and resolve technical issues efficiently Develop and improve standard troubleshooting procedures and tools for recurring issues Collaborate closely with Product Management, Engineering, and Quality Assurance teams to facilitate timely resolution of customer-reported problems Provide excellent customer communication and ensure timely updates on issue status Skills and Qualifications: Proven experience supporting proprietary, enterprise-level software applications Strong customer-oriented communication skills with a professional, friendly attitude Excellent verbal and written communication abilities Strong analytical mindset with great attention to detail Proficiency with UNIX command line, especially in parsing and analyzing data sets Bachelor s degree in Computer Science, Information Technology, or a related field 2 to 5 years of experience in a technical support or troubleshooting role Ability to read, parse, and manipulate technical data formats such as XML, EDI, CSV Working knowledge of B2B communication protocols like AS2, SFTP, and Web Services Experience with scripting languages (e.g., Perl, Python, Shell) is a plus Familiarity with supply chain software and pharmaceutical industry knowledge preferred Flexibility to work shifts across Americas, EMEA, and India/APAC time zones (daytime, evening, and overnight) Work with cutting-edge cloud technology impacting patient safety worldwide Collaborate with a global, high-performing team Opportunity for career growth in a fast-paced, innovative environment Support an industry leader with a commitment to employee growth and culture Qualification : Bachelors degree in Computer Science, Information Technology, or a 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: 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

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

Generative AI Engineer Location: Pune (Work from Office) Experience: Minimum 2 Years Notice Period: Immediate to 15 Days Preferred Job Overview: We are seeking a highly skilled and innovative Generative AI Engineer to join our dynamic team in Pune. This role requires hands-on expertise in developing, fine-tuning, and deploying advanced AI/ML models, particularly in the domain of Generative AI. If you're passionate about pushing the boundaries of AI technologies and building production-ready solutions, we d love to hear from you. Key Responsibilities: Design, develop, and deploy Generative AI models and real-world AI-driven applications. Work extensively on prompt engineering, model fine-tuning, and optimization for performance and scalability. Collaborate with cross-functional teams including product managers, researchers, and engineers to integrate AI capabilities into business solutions. Stay current with the latest research and advancements in Generative AI, including transformer models, diffusion models, and LLMs. Build tools, scripts, and frameworks to streamline AI workflows including training, evaluation, and deployment. Optimize inference pipelines and manage cloud-based AI services and APIs. Required Skills & Qualifications: 2+ years of experience in AI/ML with at least 1 year of hands-on work in Generative AI. Strong foundation in NLP, deep learning, and transformer architectures (e.g., GPT, BERT, LLaMA). Proficiency in Python and ML frameworks such as PyTorch or TensorFlow. Experience integrating with LLM APIs, vector databases, or cloud-hosted AI models (e.g., OpenAI, Hugging Face, Google Vertex AI). Solid understanding of machine learning pipelines, MLOps, and versioning tools. Excellent analytical, problem-solving, and communication skills. Preferred Qualifications: Experience with LangChain, Retrieval-Augmented Generation (RAG), or vector databases like Pinecone, Weaviate, or FAISS. Prior contributions to open-source AI projects, GitHub portfolios, or published research papers. Familiarity with Stable Diffusion, image generation models, or multi-modal AI. Work with cutting-edge AI technologies and enterprise-scale use cases. Opportunity to drive innovation in one of the fastest-growing AI domains. Collaborative and inclusive workplace focused on learning and growth. If you re ready to bring Generative AI to life in real-world applications, apply now and be part of our AI innovation journey.

Senior Python Engineer (Cloud & Backend) Pune, Maharashtra | 8 12 Years Experience | Full-time | Tech Stack: Python, AWS, FastAPI, Docker, Kubernetes, PostgreSQL, MongoDB We re hunting for a backend boss who lives and breathes Python and knows how to scale systems like a pro. If you re into building high-performance microservices, playing with cloud infra, and turning chaos into clean code let s talk. What you ll be doing: Design and build Python-based microservices for data ingestion, processing, and querying Craft clean, scalable REST APIs and data models Write unit tests that don t break when someone sneezes Work hand-in-hand with cross-functional teams to ship solid software on time, every time Optimize performance, reliability, and scalability like a true backend engineer Contribute to smart CI/CD pipelines and continuous improvement What you bring: 8 12 years of solid backend dev experience Strong Python skills, especially with Asyncio and FastAPI Deep experience with AWS, REST, and cloud-native architecture Fluent in PostgreSQL & MongoDB Comfortable with Docker, Kubernetes, and identity protocols (SSO, SAML) Familiar with CI/CD, testing frameworks, and performance tuning Bonus if you're curious about GenAI, vector databases, or ML We re not just tech nerds we re transformation partners. At Opcito, you ll get the chance to work on real impact projects using the best tools and practices out there (hello, DevOps, cloud-native, containers, and serverless). Perks & Culture: Growth-first mindset + learning budgets Pay that matches your skill & experience A friendly, no-BS, collaborative team Flexible schedules we trust you to get it done Social & corporate events you ll actually enjoy Recognition game strong: Great Place to Work (2021 24) Top 50 IT Workplaces India Best for Millennials 2023 GPTW ISO/IEC 27001:2013 Certified Top Developers India Clutch Hit Apply and let's build cool stuff together.

Python Developer GenAI Edition Pune, Maharashtra | 4 8 Years Exp. | Full-time The Mission: We're looking for a Python dev who s not just good but GenAI good. If you re into writing clean, scalable code and pushing the boundaries with generative AI, you ll fit right in. You'll help design, develop, and ship AI-powered features that aren t just smart they're next level. What you ll be doing: Build Python-based backend systems with Django or Flask Create, test, and deploy AI-driven applications using GenAI models Design microservices, APIs, and automation tools Use Docker + CI/CD to streamline delivery Work hands-on with GCP or AWS Write unit tests like a QA ninja Collaborate with the team to push out powerful, real-world AI solutions Your Superpowers: 5+ years of Python dev experience Strong Django/Flask skills 1+ year working with Generative AI or related tech Solid understanding of cloud platforms (AWS/GCP) Docker + CI/CD workflow knowledge Clean coding + problem-solving mindset Nice-to-haves (bonus points): Experience with distributed systems Familiarity with ML pipelines or LLMs Love building automation platforms Own your builds, fix bugs, and help the team level up Communicate clearly, write well, and explain complex things simply Because we do cool stuff with cloud, DevOps, and AI and we do it at scale. You ll work on projects that actually matter, with teammates who know how to get things done (and have fun doing it). Perks you ll love: Learning budgets + skill growth paths Competitive salary based on your experience Friendly, high-trust team culture Flexible schedules & work-life balance Team outings, hackathons, and fun Fridays We re not bragging, but Great Place to Work (3 years running) India s Top 50 IT Workplaces GPTW Best Workplaces for Millennials 2023 ISO/IEC 27001 certified Top Developers Clutch Click apply and let s create something mind-blowing.