Ltimindtree jobs

Job Summary: This position will provide both project management leadership and technical engineering support for the successful implementation of equipment and system projects. The Project Manager will drive organizational objectives through effective coordination and leadership of the site team, ensuring the successful completion of projects while managing human, financial, and physical resources in alignment with departmental and company goals. The role requires a strong focus on policy and strategy execution, along with the stewardship of resources and internal controls. The Project Manager will lead the execution of processes, projects, and tactical objectives within the Through Life Support function. Key Responsibilities: 1. Client and Stakeholder Engagement: Interface regularly with internal and external clients to provide project status updates, including timelines, budgets, and deliverables. Build and maintain strong relationships with customers and business partners to foster collaboration and meet customer objectives. 2. Project Management: Lead and manage the planning, coordination, and execution of site activities and associated resources to meet project deadlines and goals. Oversee the development and documentation of applicable standard operating procedures (SOPs) and safety processes. 3. Operations and Resource Management: Manage the scheduling and operations of site activities to ensure alignment with project timelines and budget constraints. Ensure efficient use of resources, including financial, human, and physical assets, in compliance with departmental and company-wide objectives. 4. Opportunity Development: Support the identification and development of new opportunities aimed at increasing operational income (OI) and expanding business ventures. 5. Safety and Operational Processes: Organize and manage system installations and maintenance to ensure adherence to safety regulations and the creation of effective operational processes. 6. Team Leadership and Mentorship: Manage and mentor subordinate supervisors and professionals, fostering a collaborative environment that encourages growth and adherence to internal controls. Provide guidance and leadership to team members to ensure the successful execution of projects and strategies. Knowledge, Skills, and Abilities: Minimum of 5 years of experience in field service management or project management. Strong technical knowledge of electromechanical equipment. Proven ability to interact and develop relationships with customers and business partners. Excellent verbal and written communication skills. Proficiency with MS Office tools, particularly Word and Excel. Strong teamwork mentality, with the ability to motivate and collaborate with diverse teams. Experience in managing internal and external clients effectively. Skilled in organizing and managing system installations and maintenance to ensure safety and operational efficiency. Proficient in the application of project management principles and techniques. Ability to manage multiple projects simultaneously while mentoring subordinates. Skilled negotiator, with the ability to influence others and build consensus to achieve customer objectives. This position provides a dynamic leadership opportunity to manage key projects, ensure operational success, and drive growth through effective teamwork and strategic execution. Qualification : Bachelor of Technology (BTech)

Job Title: Senior Product Manager College Connect Job Overview: The Senior Product Manager for College Connect will spearhead the strategy, design, and deployment of advanced technology solutions to elevate the capabilities of educational institutions. This role requires a seasoned professional with deep expertise in the IT industry to manage end-to-end product lifecycles, drive customer success, and implement transformative solutions powered by emerging technologies such as Artificial Intelligence (AI), Machine Learning (ML), Internet of Things (IoT), and cloud computing. The ideal candidate will collaborate across diverse teams to address client needs and deliver innovative educational technology solutions. Qualifications: Master s degree in Data Analytics, Artificial Intelligence, or a related discipline. 20+ years of extensive experience in the IT industry, with expertise in product management, solution sales, and partner engagement. In-depth knowledge and proven track record in emerging technologies such as IoT, AI/ML, cloud computing, and embedded systems. Demonstrated success in managing large-scale technology implementations across industries like manufacturing, automotive, and aerospace. Exceptional communication, leadership, and customer relationship management skills. Key Responsibilities: 1. Product Strategy and Leadership: Develop and execute innovative technology strategies and solutions that align with market needs and institutional objectives in the education sector. Ensure seamless integration of products into customer environments while adhering to industry best practices. 2. Customer Engagement and Success: Build and nurture strong relationships with key clients, ensuring project delivery excellence and achieving superior customer satisfaction. Lead large-scale project implementations while driving measurable outcomes for customers. 3. Innovation and Solution Development: Harness the potential of AI/ML, IoT, and cloud computing to design state-of-the-art products that advance the educational ecosystem. Lead the adoption of new technologies to maintain a competitive edge in the market. 4. Cross-functional Collaboration: Partner with internal teams, external stakeholders, and clients to create impactful and user-focused product offerings. Ensure effective coordination and alignment of cross-disciplinary efforts to achieve business objectives. 5. Data-Driven Insights and Decision Making: Utilize data analytics and AI-driven insights to improve product performance and deliver enhanced outcomes for customers. Champion evidence-based decision-making processes across the organization. This position offers a unique opportunity to lead transformative change in the educational sector through advanced technological innovation, while working at the forefront of emerging trends. Qualification : Masters degree in Data Analytics, Artificial Intelligence, or a related discipline.

Job Description Key purpose of the job:. The position is responsible for efficiently and effectively managing partners and ensuring increase in the walk-ins numbers, order booking and increase in sales revenue targets, unit sales and collections (within given budget and timelines) for the assigned project/s. Key Accountabilities Sales Value (Rs. Cr) and Volume achievement (Units) as per target. (Sales = Net Order Book) Achieving Targeted Speed of Sales (Units Booked per month) from the assigned channels, contribution Margin to the site targets and achievement of planned targets Increase in efficiency levels of the closing / walk in at the respective sites, tracking and monitoring of the same To create and develop various new channels for increasing width and depth of channel distribution pipeline To ensure constant tracking and response to competitor activity, specifically for the operating micro-market and provide timely feedback as per market dynamics Successfully liaison with various stakeholders and functions to improve individual site level channel activities and customer experience Development and implementation of site plans and initiate BTL activities as required Strategic Focus heavily on channel development and create strong channel partnerships within the region. To act as the critical link between various channels & closure managers, to develop robust customer walk-in. To evaluate and optimize the effectiveness of channel sales at each site by intelligent identification, development and allocation of channels Maintains accurate records for activities conducted and meetings done To recommend & execute strategies to ensure uninterrupted walk-ins comprising of the right target group of customers for the specific project site/s assigned, from various channels Operational Managing all Channel related trackers and review mechanism Developing direct as well as non-traditional channels Developmental Prepare and execute action plans for each allocated project for a weekly, monthly and quarterly basis in coordination with the Marketing team so that effective walk-ins and closures for the site is achieved Knowledge Management To design development and outreach activity for channels Identify knowledge gaps, map & set trainings Internal & External Interactions Internal: Sales, Marketing, Engineering, Finance External: Corporates, HNI Clients, Brokers, Property Consultants, Customers, Service partners Eligibility, Education & Experience Requirement: Graduate/ Post -Graduation in Marketing & Sales with 8-10 years of Real Estate industry exposure Continuously demonstrated ability to achieve sales target through a network of Channel Partners. Continuously demonstrated ability to empanel performing channel partners Excellent Communication skills and a proactive attitude Qualification : Graduate/ Post -Graduation in Marketing & Sales with 8-10 years of Real Estate industry exposure

Job Summary: We are seeking a talented and experienced Generative AI Engineer to design, develop, and deploy advanced AI models, with a focus on generative AI and open-source large language models (LLMs). The ideal candidate will have expertise in natural language processing (NLP), model fine-tuning, and building scalable, production-ready AI solutions. This role involves active collaboration with the open-source community, research and innovation in AI technologies, and driving technical excellence in model deployment and optimization. Key Responsibilities: 1. Model Development: Design, develop, and implement cutting-edge generative AI models and open-source LLMs to address specific business challenges. 2. NLP Expertise: Apply advanced NLP techniques for tasks like text generation, summarization, translation, and sentiment analysis to enhance model performance. 3. Open-Source Contribution: Actively participate in and contribute to the open-source community to innovate and improve existing LLMs. 4. Data Processing: Utilize frameworks and libraries like Apache Spark, PyTorch, Pandas, NumPy, Scikit-learn, and TensorFlow for data preparation and processing in machine learning workflows. 5. LLM Frameworks: Leverage frameworks such as LangChain and AutoGen to build scalable and efficient LLM-based solutions. 6. Model Fine-Tuning: Fine-tune pre-trained models for specific use cases, optimizing their performance for unique datasets and delivering high-quality results. 7. Production-Ready Applications: Use frameworks like FastAPI and Django to design, develop, and deploy machine learning models into production environments. 8. MLOps Integration: Develop and maintain robust MLOps pipelines for deployment, monitoring, and management of AI models in production. 9. Data Engineering Collaboration: Work closely with data engineers to ensure access to high-quality datasets for training and validation. 10. Research & Innovation: Conduct research on the latest advancements in generative AI, NLP, and open-source LLMs, integrating new techniques into workflows. 11. Performance Optimization: Optimize and fine-tune AI models for scalability, reliability, and production performance standards. 12. Technical Leadership: Mentor junior developers, provide technical guidance, and conduct code reviews to ensure adherence to best practices in software development. Required Qualifications: Bachelor s or Master s degree in Computer Science, Engineering, or a related field. 4-5 years of hands-on experience in natural language processing and machine learning. Proficiency in programming languages such as Python, R, or Java. Strong expertise with NLP frameworks and libraries like Hugging Face Transformers, spaCy, NLTK, and OpenAI GPT. In-depth knowledge of algorithms, data structures, and software design principles. Proven experience deploying NLP models in production environments. Familiarity with MLOps tools and practices, including CI/CD pipelines, Docker, Kubernetes, and model monitoring. Excellent problem-solving skills and attention to detail. Strong communication and teamwork skills. Preferred Qualifications: Experience with cloud platforms such as AWS, Google Cloud, or Azure. Knowledge of big data technologies like Hadoop, Spark, or Kafka. Familiarity with DevOps practices and tools. This role offers the opportunity to work at the forefront of AI innovation, contributing to impactful solutions that shape the future of generative AI and NLP. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field.

Job Summary: We are seeking an experienced Senior Machine Learning Engineer to lead the design, development, and deployment of advanced machine learning models and solutions. In this role, you will collaborate with cross-functional teams to understand business requirements and translate them into technical solutions while ensuring the scalability, performance, and reliability of machine learning systems. You will oversee the full machine learning lifecycle and mentor junior team members while staying at the forefront of technological advancements in the AI space. Key Responsibilities: 1. Leadership in Model Development: Lead the design, development, and deployment of machine learning models and solutions tailored to business needs. 2. Cross-Functional Collaboration: Work closely with cross-functional teams to understand and translate business requirements into effective technical solutions. 3. End-to-End Machine Learning Lifecycle: Oversee all stages of the machine learning lifecycle, including data collection, preprocessing, model training, evaluation, and deployment. 4. System Performance and Scalability: Ensure machine learning systems are scalable, high-performing, and reliable in production environments. 5. Mentorship and Team Guidance: Mentor junior data scientists and machine learning engineers, providing guidance and support for their professional growth. 6. Continuous Learning and Innovation: Stay updated on the latest advancements in machine learning and AI technologies, and integrate cutting-edge techniques into projects. 7. Communication with Stakeholders: Communicate complex technical concepts effectively to non-technical stakeholders, ensuring alignment and understanding across the organization. Required Qualifications: Bachelor s or Master s degree in Computer Science, Data Science, Machine Learning, or a related field. 8-10 years of hands-on experience in machine learning, deep learning, and computer vision. Proven experience leading machine learning projects and teams to successful outcomes. Strong programming skills in languages such as Python, R, or Java. Proficiency with machine learning frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn. Experience deploying machine learning models in production on cloud platforms like AWS, Azure, or Google Cloud. Excellent problem-solving abilities, with the ability to thrive in fast-paced environments. Strong leadership, communication, and interpersonal skills. Solid understanding of MLOps practices and big data management methodologies. Expertise in computer vision, neural networks, and reinforcement learning. Preferred Qualifications: Experience with cloud platforms such as AWS, Google Cloud, or Azure. Familiarity with big data technologies such as Hadoop, Spark, or Kafka. Knowledge of DevOps practices and tools. This role presents an exciting opportunity to lead high-impact machine learning projects, collaborate with diverse teams, and advance the field of AI in a fast-paced, innovative environment. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field.

Job Description Design, develop, and implement customizations and extensions for Infor ERP LN. Analyze business requirements and transform them into functional ERP LN solutions. Optimize and enhance existing ERP LN modules to improve performance and user experience. Develop and maintain ERP LN extensions using 4GL and other relevant technologies. Collaborate with business analysts, stakeholders, and other IT teams to ensure seamless ERP LN integration. Provide technical leadership and mentorship to junior developers, fostering a culture of continuous improvement and innovation. Conduct System testing, Troubleshoot, debug, and resolve any technical issues related to ERP LN. Provide support and maintenance including performance tuning to ensure optimal functionality for the deployed ERP LN solutions. Stay up-to-date with the latest developments and best practices in ERP LN technologies. Drive ERP LN upgrades, migrations, and integration with other systems. Monitor project progress, manage risks, and report on key performance indicators to senior management. Skills Strong command of ERP LN development tools (4GL, DAL) and relevant technologies. Proven experience in leading ERP LN projects and teams. In-depth knowledge of ERP LN architecture and modules, including manufacturing, finance, and supply chain. Strong analytical, troubleshooting, and problem-solving skills. Proficiency in database management systems. Excellent communication, leadership, and project management skills. Ability to manage multiple projects and deliver within deadlines. Ability to work independently and as part of a team. Excellent verbal and written communication skills. Experience with ERP Administration Business Process Analysis System Integration Project Management Technical Leadership Custom Module Development Performance Tuning Troubleshooting and Debugging Preferred Qualifications Experience with Infor ERP LN version 10.3 or later. ERP LN certification or similar technical certifications. Experience with Agile or Scrum project management methodologies. Qualification : Master of Computer Applications (MCA)