Model Optimization Jobs in Pune

Leader of IT Operations Location: Pune | Employment Type: Full-Time About Redaptive Redaptive helps large companies modernize their infrastructure through Infrastructure Monetization. Headquartered in Denver with a global presence across 10+ countries, we focus on delivering measurable sustainability and operational impact. Position Summary Redaptive is seeking an exceptional Leader of IT Operations to join our technology leadership team. This executive role oversees ITSM, agile delivery, and ITIL implementation. The ideal candidate will have deep expertise in multi-national team leadership and the ability to translate strategic direction into operational results. Key Responsibilities IT Operations & ITSM Own all IT operations and service delivery, ensuring stability, security, and alignment with business priorities. Implement comprehensive ITIL practices including change, configuration, release, and incident management. Lead IT delivery teams in Pune using Agile delivery frameworks. Manage the vendor ecosystem, ensuring performance accountability and SLA adherence. Enterprise Systems & Automation Oversee administration of enterprise systems: Salesforce (CRM), NetSuite (ERP), and HubSpot. Drive system adoption through training, playbooks, and enablement programs. Collaborate with business operations to implement automation projects. Cybersecurity & Compliance Implement and monitor cybersecurity controls and incident response protocols. Ensure adherence to regulatory compliance and data protection requirements. Required Skills & Experience 12+ years of progressive IT leadership experience with multi-national teams. Deep expertise in ITIL v4 methodologies and Agile delivery. Strong experience with Salesforce, NetSuite, and HubSpot. Proven ability to translate corporate strategy into operational execution. ITIL Certification (Foundation minimum, Expert/Master preferred). Perks & Benefits Financial: Competitive pay, performance bonuses, and equity participation. Wellbeing: Comprehensive health insurance, wellness apps, and Employee Assistance Program. Flexibility: Hybrid work model, generous PTO, and family-first policies. Growth: Access to continuous learning programs and certifications.

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

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.

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

Position: Manager M2 / M3 (Vehicle Dynamics) Functional Unit: Vehicle Dynamics Location: Pune Department: Vehicle Dynamics About SRDI: SRDI is a trailblazer shaping the future of mobility through cutting-edge automotive research, IT, and product development. We are passionate pioneers committed to leveraging innovative technologies to create safer, smarter, and more sustainable transportation solutions. From sustainable mobility to connected vehicles, we are electrifying the future of mobility! At SRDI, we provide a dynamic environment where talent meets tomorrow s mobility. Whether you are an engineer, programmer, or strategist, we foster personal and professional growth while redefining the future of automotive technology where innovation meets sustainability. About Suzuki: Join a global automotive leader with over a century of innovation! Founded in 1909, Suzuki has 70,000 employees worldwide and has sold more than 3 million automobiles. With 31 production facilities across 21 countries, Suzuki offers a diverse range of products including automobiles, motorcycles, motorized wheelchairs, and electro-senior vehicles, sold in over 209 countries. Educational Qualifications: Graduation: B.Tech in Automobile / Mechanical / Electronics / Mechatronics Post-Graduation: M.Tech in Automobile / Mechanical / Electronics / Mechatronics Experience: Minimum: 3 years Maximum: 5 years Required: Experience in modeling and mechanism analysis using tools such as Adams, SolidWorks, RecurDyn, SIMPACK, or MotionSolve Job Responsibilities: Enhance vehicle development efficiency by visualizing specifications that achieve target performance. Develop and optimize CAE models for ride comfort, including elastic body modeling. Perform optimization calculations and analyze CAE data related to ride comfort. Conduct on-site deputation/training at Suzuki Motor Corporation, Japan (6 12 months). Software Knowledge: Adams MotionSolve RecurDyn SIMPACK SolidWorks Key Competencies & Skills: Modeling experience with mechanism analysis tools (Adams, SolidWorks, RecurDyn, SIMPACK, MotionSolve). Structural analysis using MSC.Nastran and Altair HyperWorks. 1D-CAE experience with MATLAB/Simulink, Modelica, or AMESim. Programming proficiency in MATLAB/Simulink, Excel, Python, or other numerical computing tools. Statistical knowledge for data analysis. Experience with AI and machine learning applications in vehicle dynamics. Vehicle motion analysis using CarSim or CarMaker. Experience in MBD development at OEMs. Japanese language proficiency preferred. Hands-on experience with sensory evaluation of steering stability and ride comfort. Performance development experience related to steering stability and ride comfort in mass production vehicles. Practical knowledge of vehicle operation stability through real-world experiments and data analysis. Soft Skills: Team collaboration Conceptual thinking and analytical ability Strong communication and presentation skills Problem-solving and creativity Eagerness to learn Qualification : B.Tech in Automobile / Mechanical / Electronics / Mechatronics

Position: Deputy General Manager (DGM/GM) Vehicle Dynamics Functional Unit: Vehicle Dynamics Location: Pune Department: Vehicle Dynamics About SRDI: SRDI is at the forefront of automotive research, IT, and product development, shaping a safer, more efficient, and sustainable mobility future. We harness cutting-edge technologies to deliver transformative solutions from sustainable mobility innovations to connected vehicles. At SRDI, innovation and sustainability drive everything we do. At our Innovation Hub, talent meets tomorrow s mobility. We offer a dynamic environment that fosters professional growth and challenges you to redefine the future of automotive technology. About Suzuki: Join a global automotive pioneer with over a century of innovation! Founded in 1909, Suzuki employs 70,000 people worldwide and has sold over 3 million automobiles. With 31 production facilities across 21 countries, and products ranging from automobiles and motorcycles to motorized wheelchairs and electro-senior vehicles, Suzuki s impact spans 209 countries. Educational Qualifications: Graduation: B.Tech in Automobile / Mechanical / Electronics / Mechatronics Post-Graduation: M.Tech in Automobile / Mechanical / Electronics / Mechatronics Experience: Minimum: 10 years Maximum: 15 years Strong knowledge of physics (mechanics) at a B.Tech level Minimum 2 years of experience with HyperMesh and Nastran Key Responsibilities: Enhance vehicle development efficiency by visualizing specification ranges that meet target performance. Develop CAE models for ride comfort, incorporating elastic body modeling. Perform optimization calculations and CAE data analysis related to ride comfort. Lead team expansion, talent management, and skill development initiatives. Drive leadership development and plan training for team members. Deputation/training at Suzuki Motors Corporation, Japan (6 12 months). Software Knowledge: Adams MotionSolve RecurDyn SIMPACK SolidWorks Core Competencies & Skills: Expertise in vehicle dynamics modeling and mechanism analysis. Proficiency with CAE tools (HyperMesh, Nastran) for structural and ride comfort analysis. Strong analytical and conceptual thinking skills. Experience in team leadership, talent management, and skill enhancement planning. Excellent communication, presentation, and problem-solving abilities. Knowledge of AI/ML applications in vehicle development (preferred). Qualification : B.Tech in Automobile / Mechanical / Electronics / Mechatronics

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: Senior / Lead Java Developer Location: Pune Work Type: Full Time Minimum Experience: 6 8 Years Top Skills: Core Java, Spring Boot, Cloud-Native Microservices About the Role At Cognologix, we empower data-driven enterprises to harness the full potential of their data. From scalable analytics to machine learning platforms, we help clients navigate their digital transformation journeys. As a Senior/Lead Java Developer, you will work with modern cloud-native technologies to build distributed systems that process terabytes of data efficiently and intelligently. Key Responsibilities Collaborate with Data Scientists, Engineers, and Product Managers to transform complex data into actionable insights. Design and develop high-performance, low-latency Java-based microservices. Own the end-to-end architecture, implementation, and maintenance of backend systems. Design and implement REST APIs and contribute to living documentation and test specifications. Write clean, scalable, and testable code following best development practices. Build and maintain data pipelines using Apache Spark, Google Data Pipelines, or similar tools. Mentor junior developers and actively contribute to team growth and knowledge sharing. Continuously optimize and enhance the software development lifecycle. What You Bring (Must-Have Skills) 5+ years of hands-on experience building scalable cloud-native applications. Proficient in Java, Spring, Spring Boot, and Spring Security frameworks. Experience with Groovy, SQL, or NoSQL databases. Familiarity with distributed event-driven architectures using Kafka, GCP Pub/Sub, etc. Solid understanding of RESTful API design principles and performance optimization. Experience in working with Google Cloud Platform (GCP) and BigQuery is a plus. Nice to Have (Preferred Skills) Exposure to containerized environments and tools such as Docker, Istio, and Kubernetes. Experience with big data technologies like Apache Spark, Flink, or similar platforms. Understanding of CI/CD pipelines, DevOps practices, and cloud infrastructure automation. Full-stack development experience or a willingness to contribute beyond backend responsibilities. High autonomy, fast-paced environment, and flat hierarchy Work on emerging technologies and solve meaningful problems at scale Remote work options available for experienced professionals Competitive compensation and family-friendly benefits Clear path for performance-based career growth About Cognologix Cognologix helps companies disrupt and innovate by reimagining their business models. We specialize in building modern, scalable, cloud-native products with a focus on data engineering, analytics, and automation. Our agile teams deliver high-quality, tech-driven outcomes across industries and geographies.

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

Program Manager RFQ Location: Pune Experience: 5 7 Years Industry: Automotive / Manufacturing / Engineering Department: Program Management / Costing / Business Development Support Function: RFQ Management, Product Costing, Cross-functional Program Execution Job Summary: We are looking for an experienced Program Manager RFQ to lead and manage the end-to-end RFQ (Request for Quotation) process by closely coordinating with Business Development, R&D, Manufacturing Engineering, Supply Chain, and Costing teams. The role requires strong technical, commercial, and program management skills to support business acquisition efforts and ensure accurate and timely cost proposals to customers. Key Responsibilities: 1. RFQ Planning & Coordination: Act as the single point of contact between CFT and Business Development (BD) teams. Participate in Kick-off meetings (DR0/Phase 0) to define customer expectations, RFQ targets, and project milestones. Drive execution of RFQs through PLM tool, ensure project plan is created and updated regularly by CFT. Maintain departmental RFQ trackers and ensure timely closure of tasks. 2. Technical & Costing Feasibility: Coordinate with R&D for BOM, technical specifications, and risk identification. Facilitate engineering, manufacturing, and commercial feasibility assessments with CFT. Liaise with SCM, Tooling, and ME teams to gather inputs on tooling cost, BOP quotes, and capital investments. Review and validate tooling cost breakdown and share it with BD in customer-specific formats. 3. Cost Sheet Preparation & Analysis: Prepare detailed cost sheets aligned with benchmarks and internal targets. Conduct investment analysis using IRR, NPV, and RMC calculations. Support BD in customer negotiations with cost justifications, break-ups, and scenario planning. Maintain centralized cost database for reference and person-independent execution. 4. Gate Review & Program Handover: Track cost evolution across Gate exits, monitor deviations vs. Phase 0 plan. Lead Gate 0 closure and officially handover the project to Program Manager for development phase. Plan phase-wise execution with alignment from SCM and CFT. 5. Win-Loss Analysis & Continuous Improvement: Conduct Win-Loss analysis of RFQs handled, capture learnings, and drive continuous improvement. Optimize BOM costs and capital investments during execution versus Gate plans. Special Focus Areas: Polymer / Metallic Product RFQs Evaluate SOR, CSR, tooling, FTG requirements. Participate in supplier visits for evaluation and negotiation support. Support technical feasibility studies, DVP cost reviews, and risk assessments with internal teams. Required Skills & Qualifications: Bachelor s degree in Engineering (Mechanical / Production preferred). 5 7 years of experience in RFQ management, product costing, and automotive program management. Strong understanding of BOM structures, investment planning, tooling strategy, and costing principles. Hands-on experience with PLM tools, costing software, and Excel-based costing models. Exposure to IRR, NPV, benchmarking, and cost optimization frameworks. Excellent techno-commercial acumen, negotiation skills, and cross-functional leadership. Preferred Experience: Prior experience in automotive product development or costing departments. Familiarity with metallic product costing, supplier tool audits, and customer negotiation support. Knowledge of Gate-based product development processes. Lead strategic RFQ initiatives that directly impact business wins. Work with cross-functional teams on technically complex and commercially significant projects. Be part of a growth-driven, innovation-focused automotive engineering company. Qualification : Bachelors degree in Engineering (Mechanical / Production preferred)

Logistics Infrastructure Executive Location: Pune, Maharashtra Function: Operations Experience: 3 4 Years Education: Master s Degree in Supply Chain Management Job Summary: We are seeking a resourceful and data-driven Logistics Infrastructure Executive to support the optimization of biomass transportation on the BiofuelCircle platform. This role involves planning transportation networks, managing logistics assets, implementing tracking technologies, and ensuring compliance all aimed at improving supply chain efficiency and reducing operational costs. Key Purpose of the Role: To develop and manage logistics infrastructure, including transport planning and equipment sourcing, to enable seamless and cost-effective biomass deliveries on the BiofuelCircle platform. Key Responsibilities: Transportation Network Planning Analyze transport routes and modes to design an optimized, cost-effective logistics network Identify operational bottlenecks and propose efficiency-enhancing strategies Equipment Procurement & Management Source, rent, or lease trucks, trolleys, tractors, and other logistics assets Monitor usage and maintenance of logistics equipment to ensure readiness and reliability Technology Implementation Integrate GPS and other tracking technologies for real-time logistics monitoring on the platform Work with internal tech teams to align digital tools with logistics operations Regulatory Compliance Ensure logistics infrastructure adheres to safety, environmental, and transportation regulations Liaise with regulatory bodies as needed to meet compliance standards Budget Management Develop and manage logistics budgets Conduct vendor negotiations to optimize infrastructure costs Stakeholder Coordination Collaborate with operations, technology, commercial, and regulatory teams Build relationships with external logistics partners and equipment vendors Ideal Candidate Profile: Professional Experience: Hands-on experience with logistics stakeholders such as fleet operators, owner-driver vehicles, or truck manufacturers Exposure to data-driven organizations or platforms is preferred Technical Competencies: Strong grasp of transportation and supply chain principles Ability to interpret large datasets to identify operational improvements and cost savings Personal & Interpersonal Skills: Analytical thinker comfortable with data-backed decision-making Strong communication and collaboration skills to work across functions and with partners Self-motivated, creative problem solver, and accountable team player Opportunity: This role offers an exciting growth opportunity within India s emerging bioenergy ecosystem. As a Logistics Infrastructure Executive, you will work at the intersection of sustainability and logistics innovation, helping to unlock the bioenergy potential of the country through smart and scalable logistics solutions. Supervision & Collaboration: Reports to: Head Operations Desk Collaborates with: Platform Operations, Logistics, Sales, and Customer Success Teams Qualification : Masters Degree in Supply Chain Management

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

Tableau Architect Location: Pune Role Overview: We are looking for an experienced Tableau Architect to lead the design, development, and optimization of scalable data visualization solutions. The ideal candidate will bring deep expertise in Tableau, strong data architecture skills, and a passion for mentoring and guiding teams. You will play a pivotal role in delivering impactful analytics and ensuring best practices are followed across the organization. Key Responsibilities: Lead and mentor junior Tableau developers and analysts in Pune, fostering skill development and enforcing adherence to data visualization best practices. Architect, design, and implement scalable, high-performing Tableau dashboards and data models to support business analytics needs. Optimize Tableau environments to ensure efficient performance with large datasets and complex visualizations. Guide and support data integration efforts from diverse data sources into Tableau, ensuring data consistency and reliability. Conduct training sessions, hands-on workshops, and provide one-on-one mentorship to upskill team members. Collaborate with cross-functional teams including data engineers, business analysts, and IT to align on data and reporting requirements. Troubleshoot and resolve technical issues related to Tableau workbooks, data connections, and server performance. Create and maintain clear, user-friendly documentation for internal and external stakeholders, including architecture diagrams, user guides, and training materials. Technical Skills: Advanced proficiency in Tableau Desktop, Tableau Prep, and Tableau Server. Strong background in data modeling, ETL processes, and data architecture. Expertise in SQL and experience working with relational databases (e.g., SQL Server, Oracle). Hands-on experience in data integration from multiple sources and ensuring data quality. Proven ability to optimize dashboard performance for speed and responsiveness with large-scale datasets. Familiarity with cloud platforms such as AWS or Azure for data storage and analytics. Soft Skills & Additional Requirements: Experience in training and mentoring junior analysts, with a focus on building local talent in Pune. Excellent communication skills, especially when working with distributed and cross-functional teams. Strong problem-solving abilities to diagnose data and performance issues effectively. Commitment to producing high-quality documentation and reusable templates.

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.

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

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

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

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!

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.

Job Description: Key Responsibilities: Working knowledge of Durability domain (theory & principles of Linear, Non-Linear, Fatigue and Vibrations) Working knowledge of vehicle durability assessment and testing Analysis model building for vehicle aggregates, BIW, suspension, trims, full Vehicle durability simulation etc. Sound knowledge mechanical engineering and automotive engineering. In-depth knowledge of vehicle Durability domain for theory, objective & subjective assessment, experimental data analysis, durability target setting, root cause analysis. In depth knowledge of vehicle subsystem / systems (e.g., Body, trims, Powertrain, Suspension, Chassis etc) for construction, operation & its dynamics. Expert in meshing and modelling software in Automotive companies or Engineering services company with hands on Durability-CAE tools. Educational Qualification: BE / B.Tech / ME / M.Tech Number of Positions: 3 Skills: ANSA & Abaqus