Prompt Engineering 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

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.

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!

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.

Pre-Sales Executive Experience: 0 1 year Location: Pune About Amura Amura Marketing Technologies is a next-generation MarTech company delivering end-to-end marketing and sales solutions to leading Indian brands. Our philosophy of Marketing Engineered combines innovative design, engineering, and technology to provide cutting-edge marketing solutions. Role Overview As a Pre-Sales Executive, you will play a key role in qualifying leads through research, outreach, and client engagement. You will support the sales team by managing client communications, scheduling meetings, and maintaining CRM records, contributing to business growth across the PAN India region. Key Responsibilities Conduct lead qualification through research, phone calls, emails, and LinkedIn prospecting. Develop new business by prospecting, following up on marketing leads, and nurturing existing client relationships. Schedule appointments for Sales Managers with potential clients. Clearly explain service offerings and pricing details to prospects. Perform prompt and consistent follow-ups via calls, emails, LinkedIn, and WhatsApp. Manage CRM and sales tools to ensure smooth communication with the sales team. Handle cold calling and campaign leads effectively. Excellent verbal communication and email writing skills. Results-driven, persistent, and motivated to meet sales targets. Strong time management and prospecting skills. Ability to handle rejection professionally and maintain a positive attitude. Customer-focused with excellent telephone sales and service skills. Professionalism and a proactive approach in maintaining business relationships.

Presales Manager - Software Engineering Location: Pune Employment Type: Full-Time About Calfus At Calfus, we deliver cutting-edge AI agents and products that transform businesses in ways previously unimaginable. Our teams empower organizations from startups to established enterprises to harness AI s full potential, driving revenue growth and operational excellence. Our ERP solutions integrate seamlessly with core business systems, automating manual tasks and enabling teams to focus on strategic initiatives. We pride ourselves on innovation, speed, and collaboration, fueling our rapid growth and industry leadership. About the Role As a Software Engineering Presales Manager, you will be a critical link between our technical teams and potential clients. You ll lead technical engagements, crafting and delivering compelling proof of concept demos, ensuring solutions align with client needs and industry best practices. Your expertise in AWS, Azure, DevOps, and full-stack development, combined with exceptional communication skills, will help articulate the value of Calfus products and drive successful sales closures. Key Responsibilities Develop and deliver tailored proof of concept demonstrations that showcase solution capabilities. Ensure proposed solutions meet client requirements and adhere to best practices outlined in Statements of Work. Manage sales bid processes by responding to RFIs and RFPs with technical precision. Collaborate closely with Sales teams to drive deals through to successful closure. Partner with Product Managers to relay client feedback and shape future product enhancements. Monitor market trends, competitor landscapes, and adjust sales strategies accordingly. Understand customer needs deeply and deliver persuasive sales presentations. Coordinate with marketing for demand-generation activities such as trade shows and workshops. Build and maintain long-term customer relationships. Prepare detailed sales proposals and occasionally train sales team members on technical aspects. What We Expect From You Degree in Computer Science, Engineering, or a related technical field; management degree from a premier institution is a plus. 8-12 years of presales experience in the IT industry, preferably with software engineering solutions. Strong problem-solving and prioritization capabilities. Excellent presentation and communication skills, adept at engaging multiple stakeholders. Ability to work flexibly across time zones. Willingness to travel on short notice. Reporting You will report directly to the President and Chief Revenue Officer. Benefits At Calfus, we offer a comprehensive benefits package including medical, group, and parental insurance, gratuity, provident fund, wellness programs, and birthday leave because we value our employees and their well-being. Equal Opportunity Employer Calfus is committed to fostering an inclusive workplace that celebrates diversity and innovation. We welcome applicants from all backgrounds, identities, and experiences. Qualification : Degree in Computer Science, Engineering, or a related technical field

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

Job Title: Engineering Manager Software Location: Pune Experience: 12+ Years Education: B.E./B.Tech or M.E./M.Tech/M.Sc. in Electronics, Instrumentation, or Electrical Engineering Job Summary We are seeking an experienced Engineering Manager Software to lead our embedded and application software development team. The ideal candidate will have deep technical expertise in software architecture, strong leadership capabilities, and a proven track record of delivering high-quality embedded solutions. You will drive new product development, process adherence, project execution, and team development while ensuring innovation, scalability, and customer satisfaction. Key Responsibilities 1. New Product Development Collaborate with Product Management to define software specifications and finalize GATE sign-offs. Lead the design and development of scalable and modular software architectures. Benchmark competitor products to identify differentiation opportunities. Implement latest technology trends and best practices. Ensure timely and high-quality software releases in coordination with engineering and operations teams. Drive automation in testing for operational efficiency. Review and approve design documentation, validation plans, and test reports. 2. Design Process & Standards Ensure adherence to NPD (New Product Development) process up to mass production. Enforce software coding standards, quality assurance, and documentation protocols. Set up and run structured design and code review mechanisms. Foster a culture of technical excellence, innovation, and continuous improvement. 3. Project Management Create detailed project plans and communicate timelines, milestones, and risks to all stakeholders. Track progress, manage scope, and ensure projects are delivered on time and within budget. Define and monitor project costs and resource allocations. Work with Product Management to develop product roadmaps and promotional content. Proactively identify risks and implement mitigation strategies. 4. People Management Define skill matrices and identify training needs for the software engineering team. Provide mentorship, coaching, and career development for team members. Conduct regular performance reviews with actionable feedback. Foster an open, collaborative, and engaging team culture that promotes knowledge sharing and innovation. 5. Customer Support & Technical Documentation Support application and service teams in resolving customer issues and technical queries. Provide inputs for product manuals, sample applications, and user documentation. Key Skills & Competencies Technical Skills Embedded systems software architecture Expertise in C/C++, .NET, or relevant programming platforms Familiarity with product life cycle management and design standards Strong understanding of test automation, validation, and release processes Exposure to modern DevOps tools and Agile methodologies Leadership & Managerial Skills Strategic planning and project execution Risk assessment and mitigation Strong communication and stakeholder management Talent development, mentoring, and team leadership Cross-functional collaboration and decision-making Performance Indicators On-time project delivery (Schedule Performance Index) Code quality and design defect rates Budget adherence and cost optimization Team engagement and retention metrics Customer issue resolution time Knowledge sharing and innovation contributions Lead a high-performing team at the forefront of embedded and intelligent system development. Work on impactful products with real-world applications across industries. Enjoy a collaborative culture with continuous learning, innovation, and career growth opportunities. Qualification : B.E./B.Tech or M.E./M.Tech/M.Sc. in Electronics, Instrumentation, or Electrical Engineering

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

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

Key Account Manager Regional Support (West Region) Location: Pune Experience Required: 10 12 Years Department: Sales & Business Development Industry: Automotive / Engineering / Manufacturing Educational Qualification: Minimum: BE/B.Tech Preferred: MBA in Marketing / Automotive Domain Role Summary: The Key Account Manager Support (Regional) plays a crucial role in driving sales growth, increasing share of business (SOB), and enhancing customer satisfaction by supporting both existing and new business development activities. This role bridges customers, internal business units, finance, and production teams to ensure efficient commercial and operational execution. Key Responsibilities: Customer Relationship & Account Management: Maintain and regularly update customer database (SOB, price history, contacts, etc.). Build and sustain long-term relationships with key OEM clients, including Yamaha, TVSM, and new 2W-EV customers (e.g., eBSA, E-Motorad, KINETIC). Handle export customer accounts, ensuring timely communication, coordination, and query resolution. Act as the primary point of contact for assigned customer accounts, ensuring prompt responses to all routine and strategic requirements. Business Development & Lead Generation: Generate new business opportunities through cold calls, networking, RFP responses, and market intelligence. Support the creation of business proposals, quotations, and commercial documentation. Identify cross-selling and up-selling opportunities within existing accounts to increase SOB. Commercial Support & Coordination: Collaborate with BUs/plants for timely invoice generation, PO compliance, and price amendments (BOPs/raw material). Coordinate with Finance and AR teams to manage receivables and ensure zero outstanding payments. Follow up with customers for invoice realization and help streamline processes related to accounts receivable. Work with internal stakeholders on part price amendments based on raw material cost fluctuations and commercial agreements. Project Execution & Internal Collaboration: Ensure smooth execution of new product development activities with cross-functional teams (Sales, R&D, SCM, Quality). Track development timelines and report status to internal and external stakeholders. Facilitate customer visits, audits, and reviews as required. Market & Competitor Insights: Monitor industry trends, competitor activity, and emerging customer requirements. Attend industry events, conferences, and customer forums to gather market intelligence and build a professional network. Required Skills & Competencies: Strong customer relationship management and negotiation skills. Good understanding of automotive components, raw materials, and BOP pricing. Excellent communication and presentation skills. Sound commercial acumen with ability to analyze market trends and financial data. Hands-on experience in sales pipeline management, lead conversion, and proposal drafting. Proficiency in MS Office Suite (Excel, Word, PowerPoint), ERP tools preferred. Key Accounts to Manage: Metallic Business Accounts Yamaha / TVSM Export Customers All regions New EV Two-Wheeler OEMs Western Region (e.g., eBSA, E-Motorad, KINETIC, etc.) Work with top automotive and EV OEMs in a fast-growing, innovation-driven company. Opportunity to lead key customer accounts and directly contribute to business growth. Collaborate with cross-functional leaders and gain exposure to global markets. Qualification : MBA in Marketing / Automotive Domain

Position: Manager / Senior Manager Engineering Design Location: Pune Reports To: Engineering Project Lead Educational Qualification: B.E. / B.Tech or higher in Mechanical / Automotive / Design Engineering Experience: 12 16 years Industry: Construction Equipment / Automotive / Heavy Engineering Purpose of the Role To lead the end-to-end design and development of construction and earthmoving vehicles (CEV), ensuring innovation, functionality, manufacturability, and cost-effectiveness. This role is responsible for full product lifecycle management, from concept development and prototyping to validation, production readiness, and continuous improvement. Key Responsibilities Full Lifecycle Product Development Drive product development from concept through design, prototyping, testing, manufacturing, and implementation for CEVs. Develop system and component-level solutions aligned with functional, cost, material, and manufacturing requirements. Design Execution & Evaluation Create and review system concepts to ensure innovative and competitive design. Perform 3D modeling, 2D detailing, tolerance stack-ups, and geometric dimensioning (GD&T) using industry-standard CAD tools. Ensure designs are production-ready, meeting engineering, safety, and quality standards. Testing, Validation & Analysis Coordinate testing activities, including trial setups, instrumentation, and performance evaluations. Analyze test data, validate design intent, and implement necessary modifications. Conduct complex engineering calculations for strength, stiffness, service life, and material performance. Collaboration & Coordination Coordinate with internal cross-functional teams and external partners (vendors, design houses) for development and validation activities. Provide specifications, supervise and validate output from external design service providers. Resolve engineering issues and support production and service teams with design inputs. Design Documentation & Control Create and maintain technical documentation: engineering drawings, BOMs, cost comparison sheets, and design change notes. Ensure timely execution of engineering change requests (ECRs) and track their implementation. Use PLM and ERP systems for revision control and release management. Innovation & Standardization Drive the creation of new concepts for components, systems, and subsystems. Standardize parts and subassemblies to improve design efficiency and reduce cost. Identify opportunities for process improvement and design optimization. Key Competencies & Skills Deep technical knowledge in structural systems, fabrication, and vehicle integration. Proficiency in CAD tools (e.g., Creo, CATIA, SolidWorks) and PLM systems. Strong analytical skills in engineering calculations (load path, stiffness, stress, fatigue). Expertise in GD&T, tolerance analysis, and manufacturing drawing preparation. Hands-on experience with design problem-solving and root cause analysis. Effective communication and stakeholder management skills. Ability to lead cross-functional design reviews and mentor junior engineers. Role Authorities Accountable for design ownership and lifecycle maintenance of assigned systems/products. Responsible for execution and approval of engineering changes related to design. Qualification : B.E. / B.Tech or higher in Mechanical / Automotive / Design Engineering

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.

Job Title: Engineering Manager / Technical Architect Scalable System Design & Cloud Solutions Location: Pune, India Experience Level: 8+ Years Job Type: Full-Time | On-site / Hybrid / Remote (Customize based on company policy) Job Summary We are looking for an experienced Engineering Manager / Technical Architect based in Pune with over 8 years of proven expertise in designing and implementing scalable, secure, and high-performance system architectures. This is a key leadership role responsible for driving technical strategy, mentoring engineering teams, and ensuring successful delivery of complex software solutions using cloud technologies (AWS, Azure, GCP) and microservices-based architectures. Key Responsibilities Architect and implement scalable, cloud-native solutions across multiple enterprise projects. Drive technical strategy, define architectural standards, and enforce best coding practices. Design and lead development of microservices-based applications with strong integration to cloud platforms. Collaborate with stakeholders, product owners, and engineering teams to align technology with business goals. Evaluate and introduce emerging technologies and frameworks to improve system performance and development speed. Guide development teams on API design, cloud infrastructure, and system performance optimization. Ensure systems comply with security standards and implement secure coding practices. Lead code reviews, mentor team members, and foster a culture of technical excellence and knowledge sharing. Required Qualifications Bachelor's or Master's degree in Computer Science, IT, or related field (B.E./B.Tech/MCA). 8+ years of experience in software architecture, backend development, and system design. Proficiency in at least one backend language such as Java, Node.js, or .NET. Strong expertise in microservices architecture, RESTful APIs, and GraphQL. Hands-on experience with cloud platforms: AWS, Microsoft Azure, or Google Cloud Platform (GCP). Knowledge of containerization tools such as Docker and Kubernetes. Solid understanding of SQL/NoSQL databases and caching mechanisms. Familiar with CI/CD pipelines, DevOps tools, and Agile software development methodologies. Excellent problem-solving, analytical thinking, and communication skills. Preferred Skills Deep knowledge of cloud-native application development and distributed system design. Strong leadership experience, with the ability to mentor and guide engineering teams. Demonstrated ability to troubleshoot complex technical challenges and ensure high-quality delivery. Be part of a fast-growing tech team in one of India s most vibrant IT hubs. Work on high-impact projects using modern cloud and backend technologies. Collaborate with experienced professionals in a culture that values innovation and ownership. Qualification : Bachelor's or Master's degree in Computer Science, IT, or related field (B.E./B.Tech/MCA).

Software Engineering Manager Continuous Product Delivery (CPD) Location: Pune, India About the Team & Role As an Engineering Manager in the CPD Pune team, you will lead multiple software engineering teams focused on delivering long-term stability and exceptional customer experience for Rubrik s on-premise data backup and management platform. You will combine strong technical expertise with empathetic leadership to build high-performing teams and foster a culture centered on customer success and product quality. In this role, you will own the accountability for driving product stability, quality improvements, and successful roadmap delivery. You will collaborate closely with product managers, support teams, and other engineering leaders across India and the US, championing customer-centricity and continuous improvement. Key Responsibilities Hire, build, and grow strong, high-performing engineering teams. Lead by example with hands-on technical and operational involvement. Establish a culture of excellence, accountability, and customer focus. Collaborate with customers and support to troubleshoot and prioritize issues. Partner with Product Management and stakeholders to plan and deliver product roadmaps end-to-end. Drive metrics-driven initiatives to improve key performance indicators such as MTTR (Mean Time To Recovery) and reduce customer-found defects. Work with engineering leadership to improve product quality through fixes, tooling, and documentation. Manage project planning and prioritization, balancing roadmap delivery with operational needs. Mentor and coach engineers and senior contributors to maximize their growth and performance. Effectively handle customer escalations, leading from the front to ensure quick resolution. Qualifications & Skills Bachelor s degree in Computer Science or equivalent engineering discipline. 14+ years of industry experience with 2+ years in engineering management roles. Proven experience in solving complex problems and leading large-scale projects in distributed systems, preferably in storage, data protection, or security domains. Demonstrated ability to build and develop engineering teams. Strong communication skills, both written and verbal. Experience delivering enterprise-grade products with high quality standards. Skilled in managing hot customer escalations and driving quick turnarounds. Comfortable working with stakeholders across India and US time zones. About Rubrik Rubrik (NYSE: RBRK) is dedicated to securing the world s data through its Zero Trust Data Security platform. Powered by machine learning, Rubrik Security Cloud protects data across enterprise, cloud, and SaaS applications ensuring data integrity, availability, and resilience against cyberattacks and operational disruptions. Qualification : Bachelors degree in Computer Science or equivalent engineering discipline

About Talentica Software: Talentica Software is a boutique software development company founded by industry veterans and alumni from IIT Bombay. We specialize in helping startups build innovative products by leveraging the latest tools and technologies to solve real-world challenges. With over 21 years of experience, we've partnered with 180+ startups, primarily in the US, and contributed to numerous successful exits. In 2022, Talentica Software was recognized by Great Place to Work as one of India s Great Mid-Size Workplaces. What We re Looking For: We are seeking a DevOps SRE Manager to lead our cloud operations, with a primary focus on Google Cloud Platform (GCP) and secondary support for AWS. In this role, you will manage two critical teams: one DevOps team responsible for GCP infrastructure, and a CloudOps/SRE team ensuring 24/7 uptime for our mission-critical services. This position requires a blend of technical expertise, leadership skills, and customer relationship management. You ll be responsible for ensuring the reliability, scalability, and security of our infrastructure while overseeing smooth cloud operations. What You ll Be Doing: As a DevOps SRE Manager, your responsibilities will include: Managing GCP Operations: Oversee DevOps operations within Google Cloud Platform using tools like Terraform, Kubernetes (GKE), Prometheus, and Grafana. Infrastructure Automation: Ensure timely execution of tasks and optimize infrastructure automation to improve operational efficiency. CI/CD Enhancement: Drive improvements to CI/CD pipelines, enforce cloud security best practices, and enhance software delivery processes. System Reliability: Improve system reliability through advanced monitoring, logging, and alerting solutions. Cloud Optimization: Optimize cloud infrastructure for cost-effectiveness, scalability, and security, ensuring long-term operational efficiency. Leading CloudOps/SRE Teams: Manage a 24x7 CloudOps/SRE team focused on maintaining service uptime and providing prompt incident response. Incident Management: Lead incident management processes, including conducting Root Cause Analysis (RCA) and ensuring adherence to SLAs. Implement Observability Best Practices: Utilize Grafana, Prometheus, and Opsgenie to implement observability best practices. Promote Automation: Foster self-healing, automated infrastructure to reduce manual interventions and improve operational efficiency. Customer Relationship Management: Build and maintain strong customer relationships through transparent and clear communication. Mentorship and Leadership: Lead and mentor cross-functional teams of DevOps and CloudOps/SRE engineers, ensuring high productivity, continuous professional growth, and performance reviews. AWS Support: Provide basic-to-intermediate support for AWS services (IAM, EC2, S3, Lambda, CloudFormation) and assist in hybrid cloud integration when required. To Be Successful in This Role, You Should Have: Qualifications: BE/BTech from a reputable engineering institute. Experience: 8-12 years of experience in DevOps, CloudOps, or SRE roles. Technical Expertise: Primary Cloud Platform: Expertise in Google Cloud Platform (GCP). Secondary Cloud Platform: Experience with AWS. Infrastructure as Code (IaC): Strong experience with Terraform. Containerization & Orchestration: Hands-on experience with Kubernetes (GKE). CI/CD & Automation: Expertise in tools such as Jenkins, GitOps, and Ansible. Monitoring & Observability: Proficient in Prometheus, Grafana. Incident & Alerting: Familiarity with Opsgenie. Big Data & Streaming: Experience with Kafka, Airflow, Druid. AWS Services: Experience with IAM, EC2, S3, Lambda, CloudFormation, and CloudWatch. Additional Skills: Proven experience managing 24x7 operations and multi-cloud environments. Hands-on expertise with GCP infrastructure, Terraform, Kubernetes, and CI/CD pipelines. Experience with incident management, RCA, monitoring, and alerting. Strong understanding of reliability engineering, automation, and cloud security best practices. Bonus Points If You Have: Experience working with Kafka, Airflow, and Druid in large-scale environments. Certifications such as GCP Professional DevOps Engineer, AWS Solutions Architect, or Kubernetes. Working knowledge of AWS cloud services, especially in hybrid-cloud environments. What You ll Find Here: A Culture of Innovation: We focus exclusively on cutting-edge development. Our clients seek our expertise for innovative solutions, not maintenance work. Endless Learning Opportunities: Constantly expand your skills and stay on top of the latest trends and advancements in cloud technologies. Talented Peers: Work alongside top-tier engineers from India s best institutes (IITs, NITs, and others), fostering a collaborative and growth-oriented environment. Work-Life Balance: We value your well-being and offer flexible schedules and remote work options to help you maintain a healthy work-life balance. A Great Culture: 82% of our employees recommend Talentica to their peers (according to Glassdoor), which speaks to the positive work environment we ve built. Recognition & Rewards: We celebrate success and ensure that your contributions are recognized and appreciated. At Talentica, we invite you to take ownership of large-scale, impactful projects and work with cutting-edge technologies. If you re ready to make a real difference in shaping the future of our industry, we d love to have you join us. Qualification : BE/BTech from a reputable engineering institute.

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

Role: Software Engineer Embedded Systems Company: Whirlpool Corporation About Whirlpool Corporation Whirlpool Corporation (NYSE: WHR) is a leading kitchen and laundry appliance company, driving innovation to enhance life at home. Our iconic brands include Whirlpool, KitchenAid, JennAir, Maytag, Amana, Brastemp, Consul, and InSinkErator. In 2023, Whirlpool reported approximately $19 billion in annual sales, with 59,000 employees and 55 manufacturing and technology research centers worldwide. Key Highlights: #1 Fortune 500 Consumer Durable company Market leader in North America, Latin America & leading western brand in Asia Annual sales turnover of $21 billion globally 70 manufacturing & technology centers globally 3 manufacturing locations in India Role Summary We are seeking a talented software engineer with expertise in embedded software development to join Whirlpool s global software development team. This role focuses on developing software for smart and connected home appliances, contributing to next-generation IoT innovations. Key Responsibilities Design and develop embedded software for Whirlpool products, with a strong focus on IoT integration. Analyze system requirements and translate them into software architecture and development tasks. Apply state-of-the-art industry solutions and best practices in embedded development. Develop and integrate software adhering to coding standards, design documentation, and unit testing. Collaborate across functional, technical, and code reviews. Provide creative and scalable solutions to complex software challenges. Minimum Requirements Bachelor s Degree in Electronics & Telecommunication (E&TC). 10+ years experience in embedded software development and microcontroller software design. Preferred Skills & Experience Bachelor s Degree in Electrical Engineering, Computer Engineering, or Computer Science. Strong expertise in IoT systems including TCP/IP stacks, WiFi networks, BLE, and RESTful protocols. Knowledge of network protocols (HTTPS, MQTT, JSON, XML). Understanding of encryption and OTA security protocols (TLS). Proficiency in C/C++, JavaScript, Java, Python, and Shell Scripting. Experience working in resource-constrained embedded environments. Solid understanding of data structures, algorithms, object-oriented design, operating systems, networking, wireless standards, and security protocols. Strong passion for innovation, learning, and applying cutting-edge technology to consumer products. Excellent communication skills and a collaborative mindset. If you re passionate about working at the intersection of software and smart appliances, this is an excellent opportunity to join a global leader in home innovation. Qualification : Bachelors Degree in Electronics & Telecommunication (E&TC).

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

Technical Lead - Product and Platform Engineering (Finance) About the Role: We are seeking a highly motivated and experienced Technical Lead to join our Product and Platform Engineering team within the Finance domain. This role requires 6-10 years of experience and a strong background in leading the development of Angular-based solutions, integrating them with Spring Boot, Kafka, and microservices. The ideal candidate will provide technical leadership, mentor junior engineers, drive best practices in Angular development, manage project timelines and resources, troubleshoot technical challenges, and optimize Angular applications for performance and usability. Staying current with industry trends is essential for enhancing our product offerings. Responsibilities: Lead the product and platform engineering team in developing and implementing Angular-based solutions using JavaScript, TypeScript, and AngularJS. Oversee the design and architecture of Angular applications, ensuring high performance and scalability. Collaborate with cross-functional teams to integrate the Angular front-end with Spring Boot back-end, Kafka messaging system, and microservices architecture. Provide technical leadership and mentorship to junior engineers, fostering a culture of innovation and excellence. Drive best practices in Angular development, including code reviews, testing, and documentation. Lead the implementation of responsive and user-friendly interfaces using HTML, CSS, and JavaScript. Manage project timelines, deliverables, and resources effectively to meet business objectives. Troubleshoot and resolve technical challenges in Angular and related technologies. Own the product and platform engineering roadmap, aligning it with organizational strategic goals. Drive continuous improvement and optimization of Angular applications, ensuring they meet performance, security, and usability standards. Stay updated on industry trends and technologies to enhance product and platform offerings. Qualifications: Bachelor of Technology (B.Tech) or Bachelor of Engineering (B.E) in Computer Science or Information Technology, or Master of Technology (M.Tech) in Software Engineering or Computer Science. 6-10 years of extensive experience in Angular development, including Angular 15 and AngularJS. Demonstrated advanced proficiency in Angular, leveraging TypeScript for robust front-end development and integration. Foundational skills in JavaScript. Intermediate to advanced expertise in Angular and TypeScript for creating scalable web applications. Strong foundation in front-end technologies for responsive web applications. Experience designing and implementing complex features using Angular. Proficiency in Java for back-end services development. Expertise in Kafka for real-time data processing and event-driven architectures. Experience integrating Angular with back-end systems and microservices architecture. Preferred Qualifications: Angular Developer Certification AWS Certified Solutions Architect About Altimetrik: Altimetrik delivers outcomes for our clients by rapidly enabling digital business & culture and infusing 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 companies get unstuck . We re a technology company that gives organizations a process and context to solve problems in unconventional ways. We re a catalyst for organizations talent and technology, helping teams push boundaries and challenge traditional approaches. We make delivery more bold, efficient, collaborative and even more enjoyable. Qualification : Bachelor of Technology (B.Tech) or Bachelor of Engineering (B.E) in Computer Science or Information Technology, or Master of Technology (M.Tech) in Software Engineering or Computer Science.