Feature Prioritization 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

Product Manager L-1 Location: Pune | Job Type: Full-Time | Department: Product Development Eshopbox is looking for a passionate and dedicated Product Manager L-1 to help drive the development and success of our products. In this role, you'll be responsible for the entire product lifecycle, from concept through execution. You ll collaborate closely with engineering, design, sales, and marketing teams to deliver solutions that meet customer needs and drive business outcomes. Key Responsibilities Product Lifecycle Management: Oversee the entire product lifecycle, from writing specifications to collaborating with cross-functional teams (design, engineering, marketing) to launch key product features. Planning & Execution: Manage the planning, scoping, execution, and delivery of multiple product development projects. Technical Oversight: Ensure technical implementation aligns with the product requirements and overall vision. Defining Product Architecture: Define the architecture, modules, interfaces, and data systems needed to meet product requirements. Product Strategy & Metrics: Develop and execute a product strategy that aligns with business goals, using data analysis to inform product decisions. Prioritization & Decision Making: Balance customer experience, technical constraints, and business drivers to make informed trade-offs. User-Centric Design: Gain a deep understanding of user needs, problems, and desires to shape product development. Prototyping & Documentation: Create product design prototypes and develop user manuals, help guides, and other support content. Cross-functional Leadership: Lead and interact with cross-functional teams to ensure smooth product development and delivery. What You ll Need Organizational & People Skills: Strong project management capabilities and the ability to work effectively with diverse teams. Technical Background: 1+ years of experience in software or product management roles, with a focus on project/program management. Agile & Scrum: Experience working in Agile environments, particularly with scrum methodology. Industry Knowledge: Previous experience in the internet or e-commerce industry is a plus, with exposure to SaaS-based tools. Learning & Adaptability: Quick to learn new concepts and tools with a strong desire for continuous self-improvement. Communication & Teamwork: Excellent communication and collaboration skills to work across multiple teams and stakeholders.

Job Title: Computer Vision Engineer Location: Pune Experience: 3+ years Job Overview We re looking for a passionate Computer Vision Engineer to join a fast-paced startup environment. In this role, you will research, develop, and maintain scalable computer vision and machine learning solutions that analyze video feeds from online sessions, detecting anomalies and enhancing user experience. Required Skills & Qualifications BS/MS in Computer Science or equivalent, with 3+ years of industry and/or research experience in AI, Computer Vision, Machine Learning, Image Processing, or Computer Graphics. Proficient in C/C++ and Python, with solid experience working in a Linux environment. Hands-on experience with libraries and frameworks such as OpenCV, NumPy, SciPy, Scikit-learn, etc. Ability to clearly communicate complex technical concepts to both technical and non-technical audiences. Familiarity with Git version control. Highly Desirable Expertise in image classification, segmentation, and autonomous feature learning. Strong foundation in linear algebra, optimization techniques, probability, and statistics. Experience in software architecture, API design, and seamless system integration. Background in parallel programming techniques. Practical experience with vision applications in real-world projects. Join us to innovate in the field of computer vision and help shape the future of intelligent video analysis. Apply today to be part of our dynamic team!

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

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

Join Entrata: Lead the Charge in Transforming Property Management Software Position: Product Owner Location: Pune, India About Entrata Since 2003, Entrata has been at the forefront of revolutionizing property management. What began as a group of visionary college students changing the way rent is paid online has grown into a global leader in the industry. Our award-winning software suite spans rent payments, insurance, leasing, maintenance, marketing, and communication tools, and we continue to reshape the landscape of property management worldwide. With over 2200+ team members across the globe, from Utah to Texas to India, Entrata blends the energy of a startup with the stability of an established leader. Our values of innovation, transparency, and teamwork drive everything we do. If you re looking for an opportunity to make a tangible impact in an exciting industry, Entrata is the place for you. Position Overview: Product Owner Entrata is seeking a Product Owner to drive the development and delivery of innovative product features that will enhance the customer experience, streamline logistics processes, and optimize delivery operations. As a core member of our product team, you ll work closely with cross-functional teams, including UX designers, software architects, and developers, to deliver top-notch software solutions. If you re passionate about making a difference and have a background in product ownership or business analysis in a software environment, this role is for you. What You ll Do: Shape the Product Roadmap: You will develop and execute the product roadmap for delivery-related features, ensuring alignment with business objectives and customer needs. Manage Backlogs & Prioritize: Define and prioritize product requirements, user stories, and acceptance criteria. Organize and maintain the product and team backlogs to keep the development teams on track. Collaborate Across Teams: Work with stakeholders across development, customer success, and UX teams to ensure smooth communication and timely product delivery. Translate User Needs into Features: Connect with different user personas, understand their tasks, and work closely with the UX teams to capture their requirements. Drive Product Evolution: Study competing products and features, identify industry trends, and inform product development based on your findings. Oversee Product Lifecycle: Manage the development, testing, and release of product features, ensuring that quality is maintained and deadlines are met. Continuous Improvement: Analyze product performance metrics and gather customer feedback to continuously iterate on and improve product features. Act as the Subject Matter Expert: Provide expert guidance on delivery operations to internal teams and clients, supporting them with insights and best practices. Stay Ahead of the Curve: Stay updated on industry best practices and technological advancements in delivery management to ensure Entrata s products remain cutting-edge. What You Bring: Education & Experience: A Bachelor s degree in Computer Science, Engineering, or a related field. You bring 3+ years of experience in product management or a related role, preferably in the software industry. Agile Expertise: You are familiar with agile development methodologies and tools (such as Jira), and you can apply them to optimize delivery processes. Clear Communication: You excel in written and verbal communication, with the ability to translate complex requirements into actionable plans and articulate them clearly to stakeholders. Analytical & Problem-Solving Skills: You have a strong ability to analyze data and solve problems, ensuring that product features meet the highest standards of quality. Collaboration Skills: Your ability to work with cross-functional teams is unmatched. You understand how to leverage the collective expertise to deliver exceptional results. Nice to Have: SaaS Experience: Experience working in the SaaS industry or with property management software is a plus. Certifications: You hold relevant certifications like CBAP, SAFe for PO, or Design Thinking for Product Management. SQL Knowledge: Familiarity with optimizing SQL queries and understanding database triggers is an advantage. Data Tools Proficiency: Experience with product analytics and data visualization tools like Amplitude, Tableau, or Power BI. Property Management Insight: Any experience or understanding of the property management industry will help you hit the ground running. Career Growth: Entrata fosters a Be valued, Create value culture, empowering you to grow both personally and professionally. Health & Wellness: Choose from world-class medical, dental, vision insurance, plus life assistance programs to keep you and your family covered. Work-Life Balance: Enjoy generous time off to recharge and prioritize your well-being. Financial Stability: Take advantage of RSUs, ESPP, retirement plans, and more to secure your future. Collaborative Culture: We believe in the power of teamwork and diversity. At Entrata, we encourage innovative thinking, personal development, and mutual respect. Entrata isn t just a place to work it s a place to grow, to innovate, and to help shape the future of property management. If you're ready to join a dynamic team that s making a difference on a global scale, we d love to hear from you. Qualification : Bachelors degree in computer science, engineering, or a related field.

Job Overview: We are seeking a Computer Vision Engineer with 3+ years of experience to join our driven startup team. The ideal candidate will be responsible for researching, developing, and maintaining scalable computer vision (CV) and machine learning (ML) technologies that analyze video feeds from users participating in online sessions and detect related anomalies. If you're passionate about CV and ML technologies, and thrive in an innovative and fast-paced environment, we'd love to have you on our team. Required Skills: Education & Experience: BS/MS in Computer Science, or 3+ years of industry and/or research experience in a relevant field. Specializations: Expertise in Artificial Intelligence, Computer Vision, Machine Learning, Image Processing, and/or Computer Graphics. Programming Skills: Proficiency in developing in C/C++ and Python, with significant experience working in a Linux environment. Libraries & Tools: Hands-on experience with OpenCV, Numpy, SciPy, Sklearn, and similar libraries. Communication: Ability to clearly and concisely communicate complex technical information to both technical and non-technical teams. Version Control: Familiarity with GIT for version control. Highly Desirable: Expertise: Specialized knowledge in image classification, segmentation, and autonomous feature learning. Mathematical Foundation: Strong understanding of linear algebra, optimization, probability, and statistics. Software Architecture: Experience with software architecture and/or API design, with strong integration skills. Parallel Programming: Background in parallel programming to optimize computational processes. Vision Applications: Experience with vision applications and technologies used in the computer vision field. Position Details: This is a full-time, paid position, with a competitive salary and benefits package, commensurate with experience. If you're eager to contribute to innovative CV/ML solutions in a collaborative and fast-growing startup environment, we encourage you to apply. Qualification : BS/MS in Computer Science, or 3+ years of industry and/or research experience in a relevant field.

Job Overview: We are looking for a Product Support Specialist to join our team. In this role, you will be responsible for interacting with users, answering queries, resolving issues, and providing comprehensive support for our products. You will troubleshoot system and network problems, ensuring a seamless experience for end users. If you are passionate about delivering exceptional customer service and have experience in product support, this is the perfect opportunity for you. Key Responsibilities: User Interaction: Respond to user queries, troubleshoot issues, and resolve problems via various communication channels (chat, telephone, email). Maintain Information: Keep product documentation, fact sheets, and relevant application information up to date. Support Product Roll-Outs: Assist in the roll-out of new product features, ensuring customers are well-supported during the process. Incident Management: Log incidents and service requests reported by users, ensuring proper documentation and prioritization. Product Troubleshooting: Diagnose and resolve software issues related to systems and networks, ensuring a smooth experience for users. Escalation Handling: Escalate unresolved issues to higher-level support while providing timely updates to users. Ticket Management: Prioritize, document, and track helpdesk tickets, responding promptly to meet service level agreements (SLAs). Market Research and Documentation: Perform market research and analysis to gather data and insights, supporting product development and documentation. Requirements: Education: A graduate in any stream; B.E, B Tech, BCA, MCA preferred. Communication Skills: Strong verbal and written communication skills in English, with the ability to handle complex or difficult situations with professionalism. Typing Skills: Swift typing speed, with grammatically accurate communication in written forms. Curiosity and Learning: A keen willingness to learn new technologies and continuously improve. Shift Work: Ability to work in 24/7 shifts, with rotational shifts occurring every 3-4 months. Experience: At least 6 months of experience in supporting clients or customers from US/UK/AUS. Technical Skills: Familiarity with Windows OS troubleshooting is essential. Knowledge of MAC OS X is an added advantage. Attention to Detail: Strong organizational and time-management skills to manage multiple tasks effectively. Stress Management: Ability to handle high-pressure situations with confidence and professionalism. Customer Handling: Experience in global customer handling and providing technical support via call center or remote channels is preferred. What You'll Learn: Engage with diverse populations and work in cross-cultural or multicultural settings. Gain expertise in the latest product technologies and operational best practices. Improve both technical and customer service skills while solving real-world issues. Gain exposure to customer interactions across various global regions. Collaborate with experienced product managers and software entrepreneurs. Shift Timing: Night Shift: 9:30 PM 5:30 AM IST Morning Shift: 5:30 AM 1:30 PM IST Afternoon Shift: 1:30 PM 9:30 PM IST Additional Information: Transport will be provided for employees located 8-12 Kms from the office. You may be required to perform manual QA tasks as part of the role. If you are driven to deliver excellent product support and have the technical expertise to resolve issues swiftly, we encourage you to apply! Qualification : A graduate in any stream; B.E, B Tech, BCA, MCA preferred.

Job Overview Senior Product Analyst - Product Management in Financial Services with 6-10 years of experience. Lead product strategies aligned with business objectives, collaborate with cross-functional teams for requirements prioritization, and drive Agile product development as a Product Owner. Develop and maintain product roadmaps, customer journeys, and funnels to enhance user experience. Utilize Google Analytics for tracking product performance and data-driven decisions. Communicate effectively with stakeholders for successful product delivery. Bring expertise in FinTech and digital transformation projects, mentor junior analysts, and contribute to team growth. Preferred qualifications include experience in business analysis with AWS and Kubernetes, knowledge of product design principles, and certifications like CSPO and CAP. Roles & Responsibilities Lead the product management function by defining and executing product strategies in alignment with business objectives. Collaborate closely with cross-functional teams to gather and prioritize product requirements, document user stories, and define acceptance criteria. Drive product development in Agile environments, working as a Product Owner in scrum teams to deliver high-quality digital products. Develop and maintain product roadmaps, customer journeys, and product funnels to enhance user experience and achieve business goals. Utilize analytics tools like Google Analytics to track product performance, analyze KPIs, and make data-driven decisions. Communicate effectively with stakeholders and teams to ensure successful product delivery. Bring expertise in FinTech industry practices and digital transformation projects to drive innovation and continuous improvement. Mentor junior product analysts and contribute to the growth and development of the product management team. Our ideal candidate Extensive experience in product management, agile methodologies, product roadmap development, product ownership, and Google Analytics 6-10 years of experience with advanced proficiency in primary skills Product management expertise for strategic planning and product lifecycle management Agile methodologies proficiency to facilitate iterative development and enhance collaboration within cross-functional teams Mastery of product roadmap creation for setting and communicating product direction effectively Product owner skills for defining and prioritizing product features based on stakeholder needs Proficiency in Google Analytics for tracking product performance and making data-driven decisions Expertise in product management, agile methodologies, product roadmap development, product ownership, and Google Analytics Bachelor of Technology (B.Tech) in Computer Science or Information Technology Master of Business Administration (MBA) in Product Management or Business Analytics Certifications such as Certified Scrum Product Owner (CSPO) and Certified Analytics Professional (CAP) 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) in Computer Science or Information Technology

If you re looking for a career where you can make a real impression, join HSBC and discover how valued you ll be. HSBC is one of the largest banking and financial services organisations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Senior Product Owner Business: Digital Business Operations Global Operations Principal responsibilities The UAT VP for CROSS BORDER CROSS CURRENCY SVS will lead a team of UAT testers and provide functional support and guidance to the team and ensure the efficacy of testing, manage the risks by timely identification of issues and management of the defects. The role also requires the individual to Manage UAT direct reports, including leading, coaching, and mentoring testing team members. Integrate and embed UAT function into new micro services-based payments infrastructure, which includes defining UAT scope, tools, processes, and flows. Functionally own UAT across Cross border Cross Currency (CBCC) sub value stream(across assets). Work with Product owners and UAT team members to ensure front to back UAT coverage for all project and programs and provide inputs around requirements, defining acceptance criteria and identify applicable UAT test scenarios. Coordinate all cross-application dependencies and downstream impact with IT and business teams to prioritize enhancements and defects into releases.Collaborate and provide release status to leadership team and stakeholders. Drive automation and efficiency initiatives within the UAT set-up. Evaluate optimization of the existing test packs across. Ensure optimal resourcing of UAT test team to conduct regression and functional testing across releases and programs. Ensure UAT team is able to meet project timelines and resolve any cross functional issues, dependencies or impediments. Encourage and implement continuous learning initiatives within the team to stay updated with the latest testing practices and technologies. The individual will be responsible for guiding the team towards achieving unattended automation runs, optimizing test cases , and, streamlining the test packs to enable faster, more robust and comprehensive testing cycles Applying fail-first principles in manual testing to maximize the defect detection efficiency and ensure a robust system quality. Requirements Knowledge of Payments. Well versed with the latest automation testing trends/tools Exposure to Release and test management. Thorough understanding of SDLC & AGILE frameworks. Ability to work effectively with cross-functional teams and manage expectations of multiple stakeholders. Concurrent management of activities across multiple teams spread globally across different time zones. Excellent Communication (written / verbal) & co-ordination skills Assertive, Strong Negotiation / influencing skills Keen Eye for detail. Working Knowledge of tools like QC, Confluence and JIRA. Project Management skills. Over 12 years of payments experience. Strong risk orientation and exposure to Group Compliance, FIM and Risk policies.

Job Title: Engineering Manager Order Management System (OMS) Location: Pune Role Overview: As the Engineering Manager Order Management System (OMS), you will be responsible for leading the design, development, and continuous evolution of a large-scale, distributed eCommerce platform. This platform processes high transaction volumes and integrates with complex third-party systems. You will manage a full-stack engineering team, ensuring system scalability, performance, and resilience while fostering a culture of ownership, technical excellence, and collaboration. Key Responsibilities: Own the full product lifecycle: Lead the conceptualization, architecture, design, implementation, deployment, and maintenance of the OMS and its integrations. Lead and mentor a team of 10+ engineers, guiding them through technical challenges and driving both backend and frontend development efforts to successful delivery. Architect scalable, distributed systems that handle high volumes of orders, inventory updates, and third-party data exchanges across the platform. Drive eCommerce integration strategy, collaborating with various systems including marketplaces, ERPs, WMS, payment gateways, and 3PLs to ensure robust data synchronization. Take technical ownership of both backend and frontend components, from database schema and API design to UI architecture and performance optimization. Establish and enforce engineering best practices, including coding standards, CI/CD workflows, observability, and security compliance, to ensure consistency and quality across the team. Be **hands-on** when necessary actively contributing to code, reviewing critical modules, and troubleshooting complex production issues. Ensure high availability, scalability, and data integrity in every design decision, embedding performance and security into the development lifecycle. Collaborate cross-functionally with Product, QA, DevOps, and Customer Success teams to ensure alignment between technical delivery and business priorities. Recruit and develop talent within the team, conducting technical interviews and nurturing a strong engineering culture. What You ll Bring: 12+ years of software engineering experience, with at least 4 5 years of hands-on experience in Ruby on Rails (RoR) backend development. Proven success in building and scaling distributed, event-driven systems that can handle high transaction volumes and complex integrations. Strong Angular expertise: Experience leading teams to deliver rich, responsive web applications. Deep knowledge of eCommerce and OMS domain concepts, including order lifecycle, inventory management, shipments, returns, and third-party partner integrations. Expertise in PostgreSQL/MySQL: Proficiency in schema design, query optimization, and performance tuning. Familiarity with RESTful APIs, webhooks, and common integration patterns for external systems. Experience working with cloud platforms (preferably AWS) and managing CI/CD pipelines for continuous deployment and delivery. Proven experience as an Engineering Manager or Technical Lead, with a track record of mentoring engineers and managing delivery across multiple engineering modules. A passion for building reliable, secure, and performant systems that deliver measurable business impact and enhance the customer experience. Excellent communication, organizational, and problem-solving skills, with the ability to effectively manage complex technical challenges. A strong sense of ownership, self-motivation, and a growth-oriented mindset, always striving to improve processes and systems. Nice to Have: Experience with microservices, asynchronous job processing, or message queues (e.g., Sidekiq, Resque, RabbitMQ). Exposure to SaaS or multi-tenant architectures. Familiarity with containerization (e.g., Docker) and monitoring tools (e.g., Grafana, ELK, Prometheus). Understanding of API versioning, rate limiting, and data consistency patterns in large-scale distributed systems. Innovative Environment: Work on a high-impact eCommerce platform that powers complex integrations and supports millions of transactions globally. Leadership Opportunity: Lead and mentor a talented team of engineers while driving technical strategy and best practices. Career Growth: Be part of a rapidly growing company with opportunities to develop both technically and professionally in a collaborative, dynamic environment. Impactful Work: Your work will directly impact the success of a highly scalable, high-performance platform that serves leading global businesses. If you are an experienced engineering leader with a passion for building scalable and resilient systems in the eCommerce domain, we would love to hear from you!

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.

Position: Executive Assistant to CEO Location: Pune Qualification: Graduate with 3+ years of experience Experience: Minimum 3 Years Key Skills: Excellent communication, proficient in computer applications, able to commute frequently within the city Job Description: The Executive Assistant will provide comprehensive support to the Group CEO in managing daily business activities and ensuring smooth organizational operations. Key Responsibilities: Manage and organize the CEO s calendar, scheduling meetings and appointments efficiently. Arrange and coordinate meetings, including preparing agendas and recording minutes. Handle all travel arrangements, ensuring smooth logistics and itineraries. Coordinate effectively with various departments and project sites to facilitate communication and workflow. Provide administrative support to the CEO, ensuring timely and accurate completion of tasks. Required Skills: Fluent English communication, both written and verbal. Proficient in Microsoft Office Suite, including Outlook, Excel, and PowerPoint. Strong organizational skills with attention to detail. Ability to commute frequently within Pune city. Qualification : Graduate

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

Job Title: Machine Learning Engineer Location: Pune Employment Type: Full-Time About the Role: We are seeking a Machine Learning Engineer with 1-3 years of hands-on experience to join our team. The ideal candidate will have proficiency in Python programming and a solid understanding of machine learning frameworks. You will work on building and deploying cutting-edge machine learning models and solutions, with a particular focus on computer vision and ML-Ops. Key Responsibilities: Develop Machine Learning Models: Build, train, and deploy machine learning models for various business applications. Computer Vision Solutions: Focus on building and deploying computer vision solutions at scale, leveraging frameworks like TensorFlow and OpenCV. Collaborate with Teams: Work with data scientists, software engineers, and other stakeholders to integrate machine learning solutions into products. Code Quality & Documentation: Write clean, maintainable, and readable code. Document your code and solutions for ease of understanding and future reference. Work with Data Pipelines: Understand and implement data pipelines for training machine learning models, ensuring data is pre-processed and transformed correctly. Version Control & Best Practices: Use Git and follow version control best practices to ensure collaboration and code integrity across the team. Machine Learning Frameworks: Implement machine learning algorithms using frameworks like TensorFlow, Keras, OpenCV, and other relevant libraries. ML-Ops: Familiarity with deploying machine learning models into production environments and managing their lifecycle. Minimum Qualifications: Experience: 1-3 years of experience as a Machine Learning Engineer or Data Scientist. Agile Development: Familiarity with the Agile development lifecycle and collaborative software development practices. Code Readability & Documentation: Ability to write clean, readable code and document your work thoroughly for future use and team collaboration. Third-Party Libraries & APIs: Experience in consuming third-party libraries and APIs to extend the functionality of your machine learning solutions. Version Control: Experience with Git and version control best practices. Data Pipelines: Understanding of data pipelines and how to handle data preprocessing, cleaning, and transformation for machine learning purposes. Core Python: Proficiency in Python programming and popular data science libraries (e.g., NumPy, Pandas, etc.). Machine Learning Frameworks: Knowledge of machine learning frameworks like TensorFlow and OpenCV. Preferred Qualifications: ETL Tools: Experience working with ETL (Extract, Transform, Load) tools and libraries to manage and preprocess data for machine learning. Computer Vision: Hands-on experience with computer vision tasks, especially with MaskRCNN for object detection and segmentation. ML-Ops: Knowledge of ML-Ops practices for deploying, monitoring, and maintaining machine learning models in production environments. Work on cutting-edge machine learning and computer vision projects. Collaborate with a talented, cross-functional team to solve real-world problems. Opportunity to grow your career in a dynamic and innovation-driven environment. Competitive compensation and benefits package. If you're passionate about machine learning, computer vision, and deploying scalable solutions, we'd love to have you on our team!

Job Title: Project Manager Location: Pune Experience: 3+ Years Job Type: Full-Time Job Summary: We are looking for an experienced Project Manager to lead and manage software development projects in Pune. As the Project Manager, you will oversee all phases of project development, ensuring the successful delivery of projects on time, within scope, and according to client specifications. You will be responsible for coordinating with cross-functional teams, maintaining effective communication with clients, and ensuring that Agile methodologies are adhered to throughout the project lifecycle. The ideal candidate will have strong leadership abilities, excellent problem-solving skills, and a solid understanding of project management tools and techniques. If you're passionate about delivering high-quality software solutions and thrive in a fast-paced, collaborative environment, we want to hear from you. Key Responsibilities: Project Planning & Coordination: Define project scope, goals, and deliverables in collaboration with stakeholders. Develop detailed project plans and schedules to monitor and track progress. Team Leadership: Lead cross-functional teams, motivate team members, and provide guidance and direction to ensure timely delivery of project milestones. Client Communication: Maintain regular communication with clients, ensuring their expectations are met and addressing any concerns or changes to project scope. Agile Methodology: Implement Agile project management practices, ensuring that the development process follows Agile principles, such as Scrum or Kanban. Risk Management: Identify project risks, develop mitigation strategies, and address any issues that arise during the project lifecycle. Quality Assurance: Ensure the quality of deliverables by coordinating testing and validation processes to meet the client s requirements and specifications. Budget & Resource Management: Monitor project budgets, allocate resources effectively, and ensure that the project is completed within budget and allocated resources. Reporting & Documentation: Prepare and present project status reports, including progress, risks, and any potential issues to internal teams and stakeholders. Continuous Improvement: Evaluate the success of completed projects, gather feedback, and recommend improvements for future projects. Skills & Qualifications: Experience: Minimum of 3 years of experience in managing software development projects, preferably in an IT environment. Project Management Skills: Strong experience in managing projects using Agile methodologies (Scrum, Kanban), with a good understanding of project management tools (e.g., Jira, Trello, MS Project). Leadership: Proven ability to lead and motivate cross-functional teams to achieve project goals on time and within scope. Client Communication: Strong verbal and written communication skills to manage client relationships, provide updates, and manage expectations effectively. Problem Solving: Excellent problem-solving and decision-making abilities to resolve challenges and ensure project success. Time Management: Ability to prioritize tasks, manage multiple projects simultaneously, and work under tight deadlines. Technical Understanding: Basic understanding of software development processes and technologies, enabling effective communication with development teams. Educational Background: Bachelor s degree in Computer Science, Engineering, or a related field. PMP or Scrum certification is a plus. What We Offer: Professional Growth: Opportunities to develop your project management skills and grow within the organization. Collaborative Environment: Work in a supportive and dynamic team, where your ideas and contributions are valued. Challenging Projects: Manage complex and impactful projects, with the opportunity to lead innovative solutions. Competitive Compensation: Attractive salary and benefits package. Work-Life Balance: A healthy work-life balance with flexible working hours and supportive policies. If you have the experience and skills to manage software development projects in an Agile environment and lead cross-functional teams to success, apply now to join our team! Qualification : Bachelors degree in Computer Science, Engineering, or a related field. PMP or Scrum certification is a plus.

About Talentica Software: Talentica Software is a boutique software development company founded by industry veterans and IITB alumni. At Talentica, we help startups build products by utilizing the latest tools and technologies to solve real-world challenges. For over 21 years, we ve worked with over 180 startups, mainly in the US, ensuring many successful exits. In 2022, Great Place to Work recognized Talentica Software as one of India's Great Mid-Size Workplaces. What We re Looking For: We are seeking a Python + AI Developer passionate about building innovative AI solutions. If you have strong hands-on Python skills, experience developing cross-platform software, and an interest in AI, cloud platforms, and security, you could be the perfect fit for our team! What You ll Be Doing: AI Platform Development: Develop and maintain the cutting-edge platform that powers the next-generation AI Agent stack. Innovation: Contribute to the AI Agent stack by utilizing open-source technologies like LangChain. Customer Focus: Drive outcomes from customer needs to production, ensuring that the value is delivered efficiently. Security: Keep the platform secure by addressing vulnerabilities through tools such as GitHub security scanner, Black Duck, and virus scanners. Code Quality: Participate in code reviews, testing, and debugging to ensure reliable and efficient products. To Be Successful in This Role, You Should Have: Qualification: BE/BTech in any branch from top institutes like IIT, NIT, BITS, VJTI, COEP, or similar. Experience: 5-7 years of relevant experience in Python development with AI exposure. Technical Skills: Proven experience in cross-platform software development. Hands-on expertise in Python. Understanding of software deployment and distribution systems (e.g., npm, Homebrew, Chocolatey, CI/CD systems, PyPI, Conda). Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). Strong knowledge of software security practices and tools. Good-to-Have Skills: Experience building AI agents. Familiarity with React and TypeScript. Knowledge of security, governance, and enterprise compliance. Familiarity with developing for Windows platforms. Passion for creating a great developer experience and thorough documentation. Soft Skills: Strong problem-solving skills in fast-paced, results-oriented environments. Effective communication and the ability to work well in a distributed team. Passion for continuous learning and staying up-to-date with industry trends. What You ll Find Here: Culture of Innovation: We focus on creating groundbreaking solutions for our customers. At Talentica, innovation is at the core of everything we do. Endless Learning Opportunities: Grow your skillset by applying the latest advancements in your field to build better, faster, and simpler products. Talented Peers: Work alongside some of the best engineers from India s top institutes, including IITs, NITs, and select other prestigious colleges. Flexibility: We offer flexible work schedules and remote work options to support a healthy work-life balance. Great Culture: 82% of our employees recommend us to their friends, according to Glassdoor. At Talentica, you re not just following trends; you re helping shape them. If you're looking for a dynamic environment where you can innovate, grow, and make a tangible impact, Talentica is the place for you. Join us in building the future of technology! Qualification : BE/BTech in any branch from top institutes like IIT, NIT, BITS, VJTI, COEP, or similar.

About The Position We are looking for a Technical Project Manager who has experience in managing cross functional projects, end-to-end implementation and deployment. Must Have Skills 10+ years in total and 5+ years experience in a technical project/program management role managing cross functional projects, end-to-end implementation and deployment. PM needs to have Agile knowledge and have practical experience of managing Agile-Scrum teams. Good in communication skills. Excellent in negotiation skills and being head-on and ensuring both parties have a win-win situation. Good in Change and Release Management aspects of Project Management. Domain Expertise in Travel & Hospitality Good to have. Good communication and negotiation. Roles and Responsibilities Organizing, managing, and leading multiple project implementations in a fast-paced IT environment across multiple functional teams. Defining and managing large scale project proposals and plans. Execute to plan and deliver within budget and on time. Ensuring Customer satisfaction and handling client communication including weekly status calls. Managing and technical anchoring of the team including their task scheduling, rating and management. Tracking and reviewing teams performance by conducting periodic review for all the areas and ensure they adhere to the delivery schedule and other objectives. Project estimation and handling pre-sales calls when required. Educational Requirements Any Graduate. Qualification : Any Graduate.