We are seeking a highly skilled and experienced Senior Python Developer with a strong background in Artificial Intelligence (AI) and expertise in PyTorch . The ideal candidate will lead development initiatives, build innovative solutions, and work on cutting-edge projects that leverage AI technologies. This role offers an exciting opportunity to work in a collaborative environment, solve complex challenges, and contribute to impactful projects. Key Responsibilities AI Model Development : Design, develop, and deploy AI/ML models using PyTorch for diverse applications. Software Development : Write clean, scalable, and efficient Python code to create robust software solutions. Research and Innovation : Stay updated with the latest advancements in AI/ML and recommend best practices for implementation. Optimization and Performance Tuning : Optimize models for performance, scalability, and deployment in production environments. Collaboration : Work closely with cross-functional teams including data scientists, product managers, and software engineers to deliver high-quality solutions. Tool Integration : Integrate AI models into existing systems and workflows while ensuring seamless deployment. Documentation : Maintain comprehensive documentation for developed solutions, including APIs and technical specifications. Required Skills and Qualifications Programming Expertise : Strong proficiency in Python with extensive hands-on experience. AI/ML Expertise : Proven experience in building and deploying machine learning models, especially using PyTorch . Development Experience : Minimum of 5 years of professional experience in software development. Frameworks & Libraries : Deep understanding of PyTorch, TensorFlow (optional), Scikit-learn, Pandas, NumPy, etc. Cloud Computing : Experience with deploying AI solutions on cloud platforms like AWS, Azure, or GCP. Database Management : Familiarity with relational and non-relational databases (e.g., MySQL, MongoDB). Version Control : Proficient with Git and CI/CD pipelines. Understanding of LLM model (Large Language Model). Problem-Solving Skills : Strong analytical and problem-solving abilities with attention to detail. Soft Skills : Excellent communication, collaboration, and leadership skills. Preferred Skills Experience with NLP, Computer Vision , or other specialized AI domains. Experience with any Frontend language. Knowledge of containerization technologies like Docker and Kubernetes. Familiarity with DevOps practices and tools. Exposure to Big Data frameworks (e.g., Apache Spark, Hadoop). Certifications in Python, AI, or cloud platforms (AWS/GCP/Azure).

Role & responsibilities : Research emerging AI trends and evaluate their potential applications in banking. -Collaborate with startups and external partners to explore and integrate innovative AI solutions. -Work closely with senior management to align AI initiatives with the banks strategic goals. -Lead the design, development, and implementation of AI solutions across various banking functions. -Identify opportunities for process optimization, risk management, and enhanced customer experience using AI technologies Preferred candidate profile Bachelor's or Masters degree in Artificial Intelligence, Computer Science, or a related field. - Strong knowledge of AI technologies, including LLMs, machine learning, natural language processing, and automation. - Ability to translate AI research into real-world banking solutions. - Excellent communication skills for engaging with startups and senior management. - Strong problem-solving and analytical capabilities. - Hard working - Willing, proactive, and motivated

What You Can Expect from Us: Here at NomiSo, we work hard to provide our team with the best opportunities to grow their careers. You can expect to be a pioneer of ideas, a student of innovation, and a leader of thought. Innovation and thought leadership is at the center of everything we do, at all levels of the company. Lets make your career great! Position Overview: We are looking for a QA Architect to design and implement scalable, high-quality test automation . The QA Architect will define best practices, improve automation stability, drive test efficiency across web, API, Android, and iOS applications, and ensure seamless integration with Agile development processes. Roles and Responsibilities: Test Strategy & Architecture: Define and implement a scalable QA strategy, covering automation frameworks, performance testing, test environments, CI/CD pipelines, and test data management. Design an AI-driven automation analysis dashboard to accelerate issue detection and improve automation insights. Define guidelines for test automation coverage, performance benchmarking, security testing, and regulatory compliance (eg, PCI-DSS, GDPR). Automation & Tooling: Develop and maintain robust, reusable automation frameworks for web, API, Android, and iOS. Ensure seamless CI/CD integration with automation pipelines, enabling fast and reliable releases. Lead efforts to optimize test execution time, parallelization, and stability across platforms. Drive adoption of AI-powered automation for test failure analysis, reporting, and risk-based testing. Performance Testing & Optimization: Define and execute performance testing strategies for web, API, and mobile applications. Develop scalable load, stress, endurance, and capacity testing frameworks using JMeter, Gatling, k6, or similar tools. Establish baselines and SLAs for system latency, throughput, and scalability. Work with DevOps and Engineering to analyze performance test results, identify bottlenecks, and suggest improvements. Integrate performance testing into CI/CD pipelines, ensuring continuous validation of system performance. Collaborate on capacity planning and infrastructure optimizations to handle high-traffic fintech transactions. Process Optimization & Governance: Establish best practices for test design, automation coding standards, performance tuning, and test data management. Work with PMs, developers, and DevOps to ensure early testing and shift-left QA practices. Define KPIs & OKRs to measure test efficiency, automation ROI, performance benchmarks, and production bug leakage. Continuously evaluate and introduce new testing tools, frameworks, and methodologies. Collaboration & Leadership: Work closely with Product, Engineering, DevOps, and Security teams to ensure quality is built-in from day one. Mentor and guide QA engineers, performance engineers, and automation teams, setting clear expectations and goals. Drive a culture of quality ownership by promoting developer-involved testing and cross-team UAT processes. Lead proof-of-concept (POC) initiatives for new tools, automation platforms, and AI-driven solutions. Must Have Skill 12+ years of experience in QA, Test Automation, and Performance Testing Proven expertise in designing scalable automation and performance testing frameworks (Web, API, Mobile) Strong knowledge of Selenium, Appium, RestAssured, and similar tools Hands-on experience with CI/CD pipelines (Jenkins, GitHub Actions, Bitbucket, etc) Proficiency in one or more programming languages (Java, Python, JavaScript, Kotlin) Applied experience with AI/ML in testing using or integrating tools for: Test case generation Flaky test detection and failure analysis Risk-based test selection or prioritization Self-healing automation Knowledge of cloud-native testing strategies (e.g., testing on Docker/Kubernetes, dynamic environments, ephemeral test infra) Ability to define test data strategies, work with masked/synthetic data, and manage test environments Comfortable collaborating with DevOps and SREs on shift-left performance and monitoring strategies Track record of mentoring engineers, conducting code reviews, and setting automation best practices Expertise in performance testing tools (JMeter, Gatling, k6, Locust) and profiling tools (New Relic, Dynatrace, Grafana) Experience with API performance testing, load balancing, and cloud scalability Deep understanding of test environments, service virtualization, and data masking strategies Experience working in Agile/Scrum teams and knowledge of test planning, execution, and reporting. Qualification: BE/B.Tech or Equivalent degree in Computer Science or related field. Excellent communication skills in English, both verbal and written Location: Bangalore Website : https://www.nomiso.io/

Profile : Product Owner AI/ML Position Overview We are seeking a forward-thinking Product Owner with 3+ years of experience to lead AI/ML product initiatives. This role demands a product-minded professional with a strong understanding of machine learning lifecycles, data-centric product development, and a proven ability to work cross-functionally. As a Product Owner, you will define the strategy and roadmap for intelligent solutions that solve real business problems and drive value through data and automation. Key Responsibilities 1. Market Research and Competitive Analysis Conduct in-depth market research to identify trends, user needs, and opportunities in the AI/ML space. Perform competitive analysis to benchmark against existing solutions and identify differentiation strategies. Use insights from market research to inform product strategy, feature prioritization, and go-to-market planning. 2. Product Vision and Strategy Define and communicate a clear product vision for AI/ML-powered solutions aligned with customer needs and business objectives. Develop and maintain a product roadmap that balances short-term delivery and long- term innovation. Partner with Data Scientists, ML Engineers, and Business Leaders to shape the product strategy for data-driven initiatives. 3. Discovery and Solutioning Drive product discovery using a data-first approach: analyze user behavior, explore market trends, and assess algorithm effectiveness. Lead problem-solving workshops and ideation sessions to uncover high-impact AI/ML use cases. Validate concepts through rapid prototyping and proof-of-value experiments. 4. Backlog Management Own and maintain a prioritized backlog focused on ML model development, data ingestion pipelines, and end-user features powered by AI. Collaborate with engineering and data science teams to break down technical tasks, clarify requirements, and ensure consistent delivery. Write detailed user stories, clearly articulating model behaviors, success metrics, and edge case handling. 5. Agile Project Execution Lead agile ceremonies including sprint planning, reviews, and retrospectives, ensuring alignment between business and technical teams. Coordinate across cross-functional teams (Data Science, Engineering, Design, QA) to deliver high-quality, production-ready AI features. Mitigate delivery risks by identifying dependencies, managing scope, and maintaining technical feasibility awareness. 6. Stakeholder Engagement Serve as the voice of the customer and business for all AI/ML initiatives, translating requirements into actionable work items. Present roadmaps, updates, and outcomes to internal stakeholders, ensuring transparency and alignment. Collaborate with compliance, legal, and ethical AI teams to ensure responsible deployment of intelligent systems. 7. Monitoring and Optimization Define KPIs and success metrics for AI features such as precision, recall, latency, user engagement, or automation rate. Collaborate with data teams to monitor model performance and user interaction to drive continuous improvement. Oversee A/B testing and post-launch analysis to validate hypotheses and identify optimization opportunities.

We are seeking an experienced and versatile Techno-Functional Project Manager who will own the end-to-end delivery of projects, act as the customer interface, drive solutioning, and efficiently manage cross-functional teams and resources. This is a techno-functional leadership role that requires strong technical awareness, functional understanding, project management discipline, and stakeholder management skills. You will play a key role in ensuring successful project delivery, effective resource allocation, and high levels of customer satisfaction. Key Responsibilities Project Management & Delivery Lead and manage the entire project lifecycle, including planning, execution, monitoring, and closure. Develop and maintain detailed project plans, resource plans, budgets, and risk registers. Ensure timely and quality delivery of projects within defined scope, time, and budget. Drive project governance, conduct periodic reviews, and maintain project documentation. Customer Engagement & Stakeholder Management Serve as the single point of contact for clients throughout the project lifecycle. Facilitate requirement gathering workshops, solution discussions, and project reviews with clients. Manage customer expectations, handle escalations, and ensure continuous client satisfaction. Build trusted relationships with client stakeholders and internal teams. Solutioning & Functional Responsibilities Collaborate with technical teams, architects, and business stakeholders to design solutions aligned with client requirements. Prepare functional and technical documentation, BRDs, SOWs, and solution proposals. Participate in RFP/RFI responses, solution presentations, and estimation exercises. Ensure alignment of solution delivery with business objectives. Resource Management & Allocation Plan, allocate, and optimize resources across multiple projects. Monitor resource utilization, workload distribution, and team capacity. Work with functional managers to ensure the right skill sets are available for project execution. Identify and address resource constraints, hiring needs, or skill gaps proactively. Maintain visibility of team performance, track resource productivity, and drive accountability. Cross-Functional Collaboration Facilitate effective collaboration across development, QA, data engineering, infrastructure, and business teams. Remove delivery roadblocks and ensure seamless coordination between internal and external stakeholders. Foster a culture of ownership, transparency, and continuous improvement. Governance & Compliance Ensure adherence to project governance frameworks, delivery methodologies, and compliance standards. Maintain accurate project records, reports, and audit documentation. Track project KPIs and present status reports to leadership and customers. Key Skills & Competencies Strong knowledge of Project Management methodologies (Agile, Scrum, Waterfall) Experience in Resource Planning, Allocation, and Management Techno-functional knowledge of SaaS, Data Platforms, AI/ML Solutions, Enterprise Applications, or Digital Platforms Proven track record of managing multi-stakeholder, cross-functional teams Exceptional skills in Customer Communication, Negotiation, and Stakeholder Management Hands-on experience with project management tools like JIRA, MS Project, Confluence, or similar Strong problem-solving, conflict resolution, and decision-making abilities Qualifications Bachelors Degree in Engineering / Computer Science / IT PMP / PRINCE2 / Agile Certification (preferred) 6-8 years of total experience with at least 5 years in Project & Delivery Management roles Proven experience in Resource Allocation, Project Governance, and Customer Management Preferred Attributes Strong ownership & leadership mindset Excellent communication & stakeholder engagement skills Proactive, collaborative, and solution-driven Ability to thrive in dynamic, fast-paced environments

Job Description: Interview will be conducted on 10th April 2025. location: Pune Required Qualifications 10+ years of professional experience in AI/ML development/ Data scientist Strong programming skills in Python and related ML frameworks Proven track record of delivering production ready AI solutions Effective communication with client Technical Skills & Experience Overview Proficiency in Python, TensorFlow, PyTorch, Hugging Face, LangChain. Experience with APIs development and integration using Flask, FastAPI, or similar frameworks. Familiarity with Vector Databases (FAISS, Pinecone, Weaviate, ChromaDB) for AI applications. Experience with SQL & NoSQL databases (PostgreSQL, MongoDB, etc.). Strong knowledge of Cloud services (AWS, Azure, GCP) for AI deployment. Understanding of MLOps and CI/CD pipelines for model lifecycle management. Machine Learning & Deep Learning Strong foundation in traditional ML algorithms and statistical modeling Experience with neural network architectures and deep learning frameworks (PyTorch/TensorFlow) Practical knowledge of model optimization, hyperparameter tuning, and performance metrics Expertise in data preprocessing, feature engineering, and model validation techniques Large Language Models (LLMs) Experience working with transformer-based architectures Hands-on experience with LLM deployment and fine-tuning Understanding of prompt engineering and LLM evaluation metrics Knowledge of RAG (Retrieval-Augmented Generation) systems and vector databases AI Agents & Automation Experience in developing autonomous AI agents and workflows Understanding of agentic approaches to AI system design Knowledge of reinforcement learning and decision-making systems Experience with AI orchestration and multi-agent systems Computer Vision (Good to have) Practical experience with image processing and computer vision algorithms Knowledge of CNN architectures and modern vision transformers Experience with object detection, segmentation, and classification tasks Understanding of video processing and real-time vision systems Infrastructure & Deployment Strong experience with cloud platforms (AWS/Azure/GCP) Expertise in API development and RESTful services Knowledge of containerization and orchestration (Docker, Kubernetes) Experience with ML ops and model serving infrastructure Key Responsibilities Design and implement end-to-end AI solutions from concept to production Develop and optimize ML models for various use cases Create and maintain RAG systems for information retrieval and generation Build and deploy computer vision solutions for real-world applications Implement and manage cloud-based AI services and APIs Collaborate with cross functional teams to integrate AI solutions Mentor junior team members and contribute to technical decision making

Share your CV on mentioned mail - (neha@clarityconsulting.in) Should have handled at least 2 full cycle projects, starting from requirements analysis to production deployment and ongoing support. • Must have a prior experience in above mentioned technology stream. • Ability to lead complex projects involving multi delivery tracks with complete ownership. • Good project management skills able to plan and execute projects, manage requirements and risks appropriately. • Proven experience in working with client teams (Business & IT) . • Should have excellent communication (written / oral) and presentation skills. • Set & manage stakeholder expectations. • Good team management skills able to build and mentor the team. • Prior onsite experience would be an added advantage clients. Skills and Knowledge required: • Good project management skills – able to plan and execute projects, manage requirements and risks appropriately. • Good at client interactions, able to set & manage stakeholder expectations. • Good team management skills – able to build and mentor the team. • Good presentation and communication skills. Preferred Knowledge/Skills • Working or hands on experience in RPA implementation Automation Anywhere/UiPath (min 3 Year) • Advance or Master Certification in Automation Anywhere/ UiPath is preferred • Job Location : Pune • Qualification : BE/B.Tech/MCA Experience : Min 5 years of experience in web application development

Are you a skilled Data Scientist with expertise in AI, MLOps, and Generative AI? Join a dynamic consulting team, leading AI-driven business solutions on Microsoft Azure while collaborating with industry leaders and mentoring junior professionals. Your Future Employer A leading consulting firm delivering innovative AI-driven solutions across industries, empowering businesses with cutting-edge technology and strategic insights. Responsibilities Developing and deploying scalable AI/ML solutions to solve business challenges. Collaborating with clients and cross-functional teams to design impactful AI models. Supporting pre-sales efforts with AI prototypes, PoCs, and client demos. Translating complex AI concepts into actionable insights for business leaders. Mentoring junior data scientists and fostering technical excellence. Staying updated on AI advancements and best practices in MLOps and Responsible AI. Requirements Bachelors or Master’s in Computer Science, Data Science, AI, or a related field. 5+ years of experience in AI/ML with expertise in Microsoft Azure AI solutions. Hands-on experience in at least three AI/ML areas: NLP, Predictive Modeling, Time-Series Forecasting, Computer Vision, etc. Proficiency in Python, R, SQL, and ML frameworks like TensorFlow, PyTorch, and Scikit-Learn. Strong consulting skills, including stakeholder management and pre-sales experience. What’s in it for you? Opportunity to work on cutting-edge AI solutions across multiple industries. Exposure to global clients and consulting experience in a high-impact role. Career growth with mentorship and leadership development opportunities. Reach Us If you think this role aligns with your career aspirations, email your updated CV to shreya.mohan@crescendogroup.in for a confidential discussion.

Overview This role is in the newly formed Process Excellence & Transformation function in PepsiCos Strategy & Transformation team focused on driving Process Excellence for prioritized initiatives for Procure To Pay Business Processes. The objective of the role is to lead process diagnostics and re-engineering to deliver business impact through operations excellence, standardization and automation initiatives across markets including those supported by our global Capability Centers. The role will support end-to-end process transformation roadmaps as well as specific transformation teams to identify continuous improvement opportunities to deliver business value and enhance customer experience. Initiatives will include driving and mentoring Lean Six Sigma projects, process modelling, process mining diagnostics, process automations and statistical analysis for performance variation and benchmarking to enable operations teams and business stakeholders to meet their goals. He / She will operate as internal consultants, working with cross-functional and global teams on multiple projects. They will be expected to have great presentation skills and ability to influence change with senior stakeholders, functional experts, and delivery teams. They may also be required to conduct Lean Six Sigma Kaizen sessions, facilitate Value Stream Mapping and Design Thinking sessions. They will need to work closely with Hyper Automation teams and be adept in Agile and Scrum methodologies. The role will report to senior leaders in the Process Excellence & Transformation team. Responsibilities As well as the above mandatory requirements, we are also looking for candidates with below-differentiating skills, let us know if you have them, to put your profile on top: Business Process Management and process conformance analysis using process modeling. Process Mining, value enablement, and roadmap execution. Task Mining, opportunity identification for standardization and automation Agile project management to support hyper-automation projects. Experience in AI ML projects to drive process analytics and support business outcomes. Experience in change management to ensure project implementation and adoption Qualifications Experienced in leveraging Task Mining and Process Mining platforms Overall, 13 to 15 years of experience with at least 5+ years experience in quality / Black belt role; Possesses a Lean Six Sigma Black Belt Qualification - preferred Track record of delivering business improvement projects at Black Belt Level Must have mentored Green Belt Lean projects Experience working with and influencing senior stakeholders Ability to lead cross-functional projects. Working with tight deadlines.

Job Overview: Lead the architecture and design of enterprise-scale platforms incorporatingRPA, AI/ML capabilities, and integration capabilities. This role will beinstrumental in developing secure, scalable, and highly available platforms. Roles and Responsibilities: Architectural Design: Lead thearchitectural design of complex platform solutions that integrate RPA, AI/ML,and enterprise systems, ensuring alignment with business objectives andtechnical standards. Scalable and Resilient Architectures: Designscalable and resilient architectures that meet stringent SLA requirements andsupport business continuity. Security Architecture: Createsecurity architecture frameworks ensuring data protection, compliance, and riskmanagement across all platforms. Technology Evaluation: Evaluate andrecommend emerging technologies, tools, and frameworks for platformdevelopment, automation, and AI/ML implementation. Development Guidance: Guidedevelopment teams in implementing best practices for system integration,microservices architecture, and API design. Advanced Technologies: Use of RAG,Vector search/Vector DB, LangChain, AutoGen, discover appropriate LLMs,encryption methods, etc. Technical Oversight: Providetechnical oversight for critical projects and mentor team members onarchitecture principles. Stakeholder Collaboration: Collaboratewith stakeholders to translate business requirements into technical solutions. Integration Patterns: Designenterprise integration patterns and data flow architectures that connectdiverse systems and technologies. RPA Solutions: Architect RPAsolutions that automate complex business processes while ensuringmaintainability and scalability. API Management: Develop standardsfor API management, service mesh, and integration patterns. Platform Observability: Ensureplatform observability through comprehensive monitoring and logging solutions. ML Model Deployment: Designarchitectures for ML model deployment, training, and inference at scale. Must Haves: 10+ years of experience in softwarearchitecture, with at least 5 years focusing on platform and integrationarchitecture, and 2+ years in AI/ML and RPA architecture. Strong experience in cloud platforms(AWS/Azure/GCP) and on-premises infrastructure design. Cloud certification(s) from major providers(AWS, Azure, GCP). Experience in implementing RAG, Vector search. Proven track record in designing andimplementing large-scale distributed systems. Knowledge of regulatory compliance requirements(SOC2, HIPAA, GDPR, etc.). Background in performance optimization andscalability design. Strong negotiation and relationship managementskills. Knowledge of automation and AI technologylandscape. Understanding of software licensing andcontracts. Excellent communication and presentation skills. Qualifications: Advanced degree in Computer Science, Software Engineering, or related field.

Responsibilities Develop and deploy machine learning models for various use cases. Optimize and fine-tune models for better performance. Integrate AI models into business applications. Monitor model performance and update algorithms as needed. Job Description Design and implement AI models and machine learning algorithms. The role involves collaborating with data scientists to build intelligent systems and deploying models in production. Qualifications Develop and deploy machine learning models for various use cases. Optimize and fine-tune models for better performance. Integrate AI models into business applications. Monitor model performance and update algorithms as needed. Skills Proficiency in Python and machine learning libraries. Strong understanding of natural language processing (NLP). Experience with cloud-based AI services (AWS, Google AI). Strong problem-solving and analytical skills.

Job Title - Solution Architecture_Digital Commerce & Digital Marketing + Manager + Global Song Management Level :07 - Manager Location:Bangalore Must have skills: Analytics Good to have skills: Understanding of various tools/technology platforms that are used in Digital Marketing/Digital Commerce Job Summary :The Marketing & Digital Commerce Value Architect focuses on building business cases that Identify the value proposition that we as ACN can deliver to a current client/prospect using our Marketing & Dig. Comm. offering and the levers/services that we can deliver them through. Roles & Responsibilities: Responsible for building a quantified value proposition outlining the expected benefits that we can drive for a client (i.e. Revenue Increase, Cost Reductions, Brand Equity increase etc..) given the client maturity, performance of peers in the industry and industry specific trends Responsible for driving pursuit team/ deal team/client buy in into the value proposition and subsequent inclusion into the client response decks/evolution into outcome-based deals Responsible for managing a 4-member team of value architects and help them deliver innovative business cases/ensure client buy-in Responsible for working with the pursuit team to assess the marketing & dig. Commerce operations maturity of a client (w.r.t. 12-15 key marketing metrics such as Churn Rate, Sales Conversion Rate etc..) through client inputs & secondary research Responsible for upkeep & refinement of industry benchmarks against the 12-15 marketing/dig. comm. metrics to help assess the maturity of prospects & identify improvements that we can help drive Responsible for working with SMEs to refine the value proposition based on ACN experience of having driven it across clients with similar maturity within the same industry Responsible for innovating on the approach/process to build value propositions to clients Professional & Technical Skills: Total 8-12 years of experience in Digital Marketing/Digital Commerce, with understanding of typical business problems that functions like marketing or dig. commerce face within client organizations & typically resolution approaches Understanding of various tools/technology platforms that are used in Digital Marketing/Digital Commerce and prior hands-on experience in working with some of them/ability to help clients identify how to derive more benefits as opposed to their current usage Understanding of industry specific challenges and ability to customize approaches/value proposition in accordance with them Prior experience in building business value cases/proposals to highlight the Business Outcome improvements that can be driven Quantitative skillsets – Working knowledge of Excel/Power Point is a must MBA or equivalent from a reputable school / program is highly desirable Proposal building experience/Sales experience in Marketing Operations/Digital Commerce Operations and/or analytics is highly desirable Additional Information: - The ideal candidate should possess a strong background on building business cases that identify value proposition to deliver to clients using Marketing & Digital Commerce- This position is based at our Bengaluru office. About Our Company | Accenture

Job Title - Solution Architecture_Digital Commerce & Digital Marketing + Manager + Global Song Management Level :07 - Manager Location:Bangalore Must have skills: Analytics Good to have skills: Understanding of various tools/technology platforms that are used in Digital Marketing/Digital Commerce Job Summary :The Marketing & Digital Commerce Value Architect focuses on building business cases that Identify the value proposition that we as ACN can deliver to a current client/prospect using our Marketing & Dig. Comm. offering and the levers/services that we can deliver them through. Roles & Responsibilities: Responsible for building a quantified value proposition outlining the expected benefits that we can drive for a client (i.e. Revenue Increase, Cost Reductions, Brand Equity increase etc..) given the client maturity, performance of peers in the industry and industry specific trends Responsible for driving pursuit team/ deal team/client buy in into the value proposition and subsequent inclusion into the client response decks/evolution into outcome-based deals Responsible for managing a 4-member team of value architects and help them deliver innovative business cases/ensure client buy-in Responsible for working with the pursuit team to assess the marketing & dig. Commerce operations maturity of a client (w.r.t. 12-15 key marketing metrics such as Churn Rate, Sales Conversion Rate etc..) through client inputs & secondary research Responsible for upkeep & refinement of industry benchmarks against the 12-15 marketing/dig. comm. metrics to help assess the maturity of prospects & identify improvements that we can help drive Responsible for working with SMEs to refine the value proposition based on ACN experience of having driven it across clients with similar maturity within the same industry Responsible for innovating on the approach/process to build value propositions to clients Professional & Technical Skills: Total 8-12 years of experience in Digital Marketing/Digital Commerce, with understanding of typical business problems that functions like marketing or dig. commerce face within client organizations & typically resolution approaches Understanding of various tools/technology platforms that are used in Digital Marketing/Digital Commerce and prior hands-on experience in working with some of them/ability to help clients identify how to derive more benefits as opposed to their current usage Understanding of industry specific challenges and ability to customize approaches/value proposition in accordance with them Prior experience in building business value cases/proposals to highlight the Business Outcome improvements that can be driven Quantitative skillsets – Working knowledge of Excel/Power Point is a must MBA or equivalent from a reputable school / program is highly desirable Proposal building experience/Sales experience in Marketing Operations/Digital Commerce Operations and/or analytics is highly desirable Additional Information: - The ideal candidate should possess a strong background on building business cases that identify value proposition to deliver to clients using Marketing & Digital Commerce- This position is based at our Bengaluru office. About Our Company | Accenture

Job Title / Primary Skill: AiML Architect Management Level: G150 Years of Experience: 8 to 14 years Job Location: Bangalore (Hybrid) Must Have Skills: AiMl, NLP, Machine Learning, Deep learning, Python Educational Qualification: BE/BTech/ MTech/ MCA (Minimum bachelors degree) Job Description Develop fit for purpose AIML models/algorithms/processes to address pharma/healthcare applications and innovative products upon completion of prototypes followed by the building of production grade algorithms/automation engines for client deliverables. Test for viability to deliver final products to clients. Able to bring newly researched ideas to reality quickly and on a large scale. Design, build, test, and deliver products from post-prototype to client delivery. Essential Functions Assists with the ongoing development and implementation of an enterprise architecture. May devise and present business cases and program release plans to senior management with priority recommendations to maintain and evolve this architecture. Builds effective business relationships with business line managers and provides technical and system expertise as input to product concepts. May assist product development management to define IT strategic direction and assists in the mapping of projects to that strategic direction whilst ensuring product capabilities and process improvements are delivered over time within the framework of the IQVIA enterprise architecture. Participates in cross-functional product development teams, may also act as a consultant to provide system and technical advice. Keeps up to date with technology changes and identifies opportunities for implementation in future systems. Participates in R&D projects and may run those projects in compliance with standard project management practices. May mentor and assist lower-level architects and business analysts. Qualifications 8+ years of experience in engineering roles with team management experience 5-7 relevant years experience on NLP, Machine Learning and Deep learning 5-7 relevant years of experience on Python Extensively work on NLP applications, ability to work on Machine learning model, Deep learning development Knowledge of LLMs, fine tuning and deployment Experience annotated datasets for Supervised Learning methods and correction. Experience on text to transform natural language into useful features. Find and implement the right algorithms and tools for NLP tasks. Perform statistical analysis of results and refine models. Extend ML libraries and frameworks to apply in NLP tasks. Experience on ORM, SQL Alchemy, Alembic is a must. Experience on Writing on effective and scalable code Experience on Unit Testing using Pytest or equivalent framework. A deep understanding and multi-process architecture and the threading limitations of Python. Familiarity with server-side templating languages including Jinja 2 and Mako is good to have. Experience on REST API, Flask API, Fast API is must, Django or Pyramid framework is good to have. Knowledge of NER, Knowledge graphs is good to have. Education Qualification Master's Degree masters degree in Machine Learning, Statistics, Computer Science, Physics, Math, or related field

We are hiring a AIML Technical Lead for the Noida location. (To Confirm Please Drop a Whatsapp or call on 9205053694 Meenakshi ) ( In case The Number Is Busy, Please Drop A Whatsapp @ 9205053694 Meenakshi ) Any graduate can apply. Job description Technical Skillset : Must Have Skills - Generative AI - GPT3, ML Ops and Python Proficient in Python, with experience in machine learning, deep learning, and NLP processing. Experience in developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. Proficient in Langchain, LLM Prompt Engineering : The engineer prompts and optimizes few-shot techniques to enhance LLM's performance on specific tasks, e.g. personalized recommendations. Model Evaluation & Optimization : Evaluate LLM's zero-shot and few-shot capabilities, fine-tuning hyperparameters, ensuring task generalization, and exploring model interpretability for robust web app integration. Response Quality : Collaborate with ML and Integration engineers to leverage LLM's pre-trained potential, delivering contextually appropriate responses in a user-friendly web app. It is essential to have a solid understanding of data structures, algorithms, and principles of software engineering. Experience with vector databases RDBMS, MongoDB and NoSQL databases. Proficiency in working with embeddings. Strong distributed systems skills and system architecture skills Experienced in building and running a large platform at scale. Hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, Spark, or similar statistical tools. Experience as data modeling ML/NLP scientist. including, but not limited to, Performance tuning, fine-tuning, RLHF, and performance optimization. Validated background with ML toolkits, such as PyTorch, TensorFlow, Keras, Langchain, Llamadindex, SparkML, or Databricks. Proficient with the integration of data from multiple data sources Experience with NoSQL databases, such as HBase, ElasticSearch, and MongoDB API Design. API/Data mapping to schema. Experienced in and strong knowledge of using AI/ML and more particularly LLMs eager to apply this rapidly changing technology. Good Knowledge of Kubernetes, and RESTful design. Prior experience in developing public cloud services or open-source ML software is an advantage Role and responsibilities - Collaborating with cross-functional teams to define AI project requirements and objectives ensuring alignment with overall business goals Conducting research to stay up to date with the latest advancements in generative AI machine learning and deep learning techniques and identify opportunities to integrate them into our products and services. Optimizing existing generative AI models for improved performance scalability and efficiency. Active participation in developer communities, open-source contributions, or personal GenAI projects Work closely with the GenAI development team to integrate AI models and applications with the existing/new tool, quality, and performance. Act as an authority, guiding junior engineers and collaborating teams, fostering a culture of development excellence, collaboration, and continuous learning. Evaluating and selecting appropriate AI tools and machine learning models for tasks, as well as building and training working versions of those models using Python and other open-source technologies Working with leadership and stakeholders to identify AI opportunities and promote strategy. Serve as a technical lead, overseeing and supervising projects and engineers on the team. Play a leading hands-on role in the design and implementation of our ML infrastructure and GenAI platform software technologies. Drive our technology vision and roadmap. Establish software development best practices, and lead by example in applying them Experience contributing to the architecture and design of large scale distributed systems and/or ML systems and tools Hands-on experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using ML, NLP, computer vision solutions Strong sense of software design and usability of ML systems Experience applying software engineering methodologies and best practices including coding standards, code reviews, build processes, testing, and security. Proven experience as a Engineering Lead, hands on Software Engineering Manager, or similar role Develop natural language processing (NLP) solutions using GenAI, LLMs and custom transformer architectures. Adopt and customize LLM agent-based orchestration tools (LlamaIndex, Langchain, Semantic Kernel) for enterprise applications and use cases Implement information search and retrieval at scale, using a range of solutions ranging from keyword search to semantic search using embeddings. Developing and/or tune Large Language Models (LLM) and Generative AI (GAI) Analyze, design, develop, support and maintain Big Data environment and code base, support traditional data pipelines and processes. Education Computer science, Data Engineering, or a related field graduates. Sal upto 25 LPA (To Confirm Please Drop a Whatsapp or call on 9205053694 Meenakshi ) ( In case The Number Is Busy, Please Drop A Whatsapp @ 9205053694 Meenakshi ) Regards SPARK CONSULTANCY

We are hiring a AIML Technical Lead for the Noida location. (To Confirm Please Drop a Whatsapp or call on 9205053694 Meenakshi ) ( In case The Number Is Busy, Please Drop A Whatsapp @ 9205053694 Meenakshi ) Any graduate can apply. Job description Technical Skillset : Must Have Skills - Generative AI - GPT3, ML Ops and Python Proficient in Python, with experience in machine learning, deep learning, and NLP processing. Experience in developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. Proficient in Langchain, LLM Prompt Engineering : The engineer prompts and optimizes few-shot techniques to enhance LLM's performance on specific tasks, e.g. personalized recommendations. Model Evaluation & Optimization : Evaluate LLM's zero-shot and few-shot capabilities, fine-tuning hyperparameters, ensuring task generalization, and exploring model interpretability for robust web app integration. Response Quality : Collaborate with ML and Integration engineers to leverage LLM's pre-trained potential, delivering contextually appropriate responses in a user-friendly web app. It is essential to have a solid understanding of data structures, algorithms, and principles of software engineering. Experience with vector databases RDBMS, MongoDB and NoSQL databases. Proficiency in working with embeddings. Strong distributed systems skills and system architecture skills Experienced in building and running a large platform at scale. Hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, Spark, or similar statistical tools. Experience as data modeling ML/NLP scientist. including, but not limited to, Performance tuning, fine-tuning, RLHF, and performance optimization. Validated background with ML toolkits, such as PyTorch, TensorFlow, Keras, Langchain, Llamadindex, SparkML, or Databricks. Proficient with the integration of data from multiple data sources Experience with NoSQL databases, such as HBase, ElasticSearch, and MongoDB API Design. API/Data mapping to schema. Experienced in and strong knowledge of using AI/ML and more particularly LLMs eager to apply this rapidly changing technology. Good Knowledge of Kubernetes, and RESTful design. Prior experience in developing public cloud services or open-source ML software is an advantage Role and responsibilities - Collaborating with cross-functional teams to define AI project requirements and objectives ensuring alignment with overall business goals Conducting research to stay up to date with the latest advancements in generative AI machine learning and deep learning techniques and identify opportunities to integrate them into our products and services. Optimizing existing generative AI models for improved performance scalability and efficiency. Active participation in developer communities, open-source contributions, or personal GenAI projects Work closely with the GenAI development team to integrate AI models and applications with the existing/new tool, quality, and performance. Act as an authority, guiding junior engineers and collaborating teams, fostering a culture of development excellence, collaboration, and continuous learning. Evaluating and selecting appropriate AI tools and machine learning models for tasks, as well as building and training working versions of those models using Python and other open-source technologies Working with leadership and stakeholders to identify AI opportunities and promote strategy. Serve as a technical lead, overseeing and supervising projects and engineers on the team. Play a leading hands-on role in the design and implementation of our ML infrastructure and GenAI platform software technologies. Drive our technology vision and roadmap. Establish software development best practices, and lead by example in applying them Experience contributing to the architecture and design of large scale distributed systems and/or ML systems and tools Hands-on experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using ML, NLP, computer vision solutions Strong sense of software design and usability of ML systems Experience applying software engineering methodologies and best practices including coding standards, code reviews, build processes, testing, and security. Proven experience as a Engineering Lead, hands on Software Engineering Manager, or similar role Develop natural language processing (NLP) solutions using GenAI, LLMs and custom transformer architectures. Adopt and customize LLM agent-based orchestration tools (LlamaIndex, Langchain, Semantic Kernel) for enterprise applications and use cases Implement information search and retrieval at scale, using a range of solutions ranging from keyword search to semantic search using embeddings. Developing and/or tune Large Language Models (LLM) and Generative AI (GAI) Analyze, design, develop, support and maintain Big Data environment and code base, support traditional data pipelines and processes. Education Computer science, Data Engineering, or a related field graduates. Sal upto 25 LPA (To Confirm Please Drop a Whatsapp or call on 9205053694 Meenakshi ) ( In case The Number Is Busy, Please Drop A Whatsapp @ 9205053694 Meenakshi ) Regards SPARK CONSULTANCY

Job description Location: Pan India Experience: 5+ years Job Type: 3 years Contractual Work Mode: Hybrid (Frequent On-Site Travel) Responsibilities: Design and develop Al algorithms and models that align with the company's objectives and requirements. Analyze complex data sets to extract valuable insights and patterns that contribute to the improvement of Al systems and products. Create Al solutions tailored to specific business needs, including problem identification, solution development, and implementation planning. Integrate Al systems seamlessly with existing infrastructure and platforms to ensure efficient and effective operations across the organization. Perform rigorous testing and validation of Al models to ensure their accuracy, reliability, and performance in real-world scenarios. Regularly maintain and update Al systems to incorporate the latest advancements and ensure optimal functionality & security. Work closely with cross functional teams to understand business requirements and effectively implement Al solutions to address complex challenges. Maintain comprehensive documentation of Al projects, including methodologies, results, and recommendations, and are detailed for Qualifications & Requirements A degree in computer science, engineering. or a related field. Demonstrated experience in Al research and development, preferably in a professional capacity. Proficiency in programming languages such as Python & Java, as well as in Al frameworks and tools like TensorF10w, PyTorch, or Keras. Strong analytical and problem-solving skills, with the abillty to comprehend complex datasets and develop effective solutions. Experience in machine learning, natural language processing, or computer vision, a strong understanding of the underlying algorithms and techniques. A track record of successfully delivering Al projects and initiatives, with a focus on innovation and practical application. Candidate should be ready to travel abroad.

Job Overview: Lead the development of AI and ML solutions to enhance automation capabilitiesand create intelligent processing systems for business operations. Roles and Responsibilities: AI/ML Model Development: Discoverand train relevant AI/ML models. Python-Based Solutions: CreatePython-based platforms, applications, and services integrating the AI/ML modelsand integrating with existing systems/RPA bots through APIs. NLP Solutions: Develop NLP solutionsfor document processing, reconciliations, analysis, etc. ML Model Maintenance: Implement andmaintain ML models in production. Advanced Technologies: ImplementRAG, Vector search, use of LangChain/AutoGen. Must Haves: 2+ years of Python development experience. Strong background in machine learning and AItechnologies. Knowledge of deep learning frameworks(TensorFlow, PyTorch). Proficiency in NLP and computer vision. Knowledge of RESTful APIs and microservicesarchitecture. Knowledge of frameworks such as LangChain,AutoGen. Experience with cloud platforms (AWS/Azure/GCP). Qualifications: Bachelor's or Master's degree in Computer Science, AI, or related field.

Full Stack Web Developer Senior Software Engineer AIML++, Django, React JS External Description Description - External Title: Full Stack Web Developer Key job functions include Design and execute project plans Oversee the QA program Maintain source code Create reusable code libraries Participate in API definition and development Create POC web applications alone Gather and refine requirements Participate in meetings with offshore development teams Perform basic server administration and setup when needed Key skills include Ability to work independently, finding solutions to programming problems with minimal oversight Ability to lead a team with diverse technical backgrounds Ability to provide technical requirements to the team Ability to adapt to changing project requirements Excellent written and oral communication skills Qualifications 7+ years of software development work experience BS in computer engineering or related discipline Strong in JavaScript, React.js, redux, HTML5, and CSS3 Experienced Full stack web developer, strong preference for Python with Django Rest Framework Experienced in designing RESTful web services Experience working in ORM framework such as Django ORM or SQL Alchemy Knowledgeable in modern web application design principals Experience designing and maintaining databases Experienced constructing and ingesting XML and JSON Understanding of cross browser compatibility issues Experience building portable code, react native in particular Super strong AWS solution design and deployment in production environments at scale Ability to work with in an agile software development team Knowledge of application servers such as apache, node.js, nginx, etc. Familiarity with working in Linux Not required but a strong plus Experience with Java is a plus Experienced working with Salesforce, specifically embedded and/or native applications Experience as a product owner or architect in addition to direct development Prior work with web analytics technologies UI/UX design experience SASS or LESS experience General familiarity with the .js framework landscape Qualifications - External Degree in Computer Science

Exciting Opportunity Alert! Are you ready to take your career to the next level? Join a prestigious MNC in Pune as an AI/ML Engineer! Experience: 7-10 Years Position: AI/ML Engineer Mode: Full-Time Hybrid Location: Pune Notice Period: 0 to 30 Days Total Experience: With over 7 years in designing and developing end-to-end ML pipelines, including a minimum of 5 years working on large-scale ML projects. Data Science & Analytics: You should bring at least 5 years of expertise in data analytics, statistical programming, and data mining to tackle intricate challenges. Domain Knowledge: Having familiarity with Banking and AML would be a valuable asset. Technical Expertise: Demonstrate a strong grasp of data science methodologies, machine learning algorithms, and tools essential for constructing scalable production solutions. ML Frameworks & MLOps Tools: Proficiency in TensorFlow, PyTorch, MLflow, or Kubeflow is key. CI/CD & Big Data Systems: Experience with CI/CD tools and a solid foundation in big data platforms like Hadoop, Spark, and Hive. Bonus: Any experience with Dataiku would be a definite plus. Keen on this opportunity? Get in touch with us at: Email: shalini.v@saranshinc.com LinkedIn: linkedin.com/in/shalini-vodapelly-129560280 Ready to embrace this exciting career opportunity? hashtag#AI hashtag#ML hashtag#Engineer hashtag#Pune hashtag#DataScience hashtag#Analytics

AI Engineer Partner Ecosystem: Roles and Responsibilities An AI Engineer focused on the partner ecosystem works at the intersection of artificial intelligence (AI), business partnerships, and technical enablement. This role is responsible for driving AI adoption, enabling partners with AI tools, and collaborating on AI-driven solutions. Below are the key responsibilities: 1. Partner Enablement & AI Adoption Educate partners on AI technologies, frameworks, and best practices. Conduct workshops, webinars, and training sessions to upskill partners on AI models and tools. Provide technical guidance and resources to help partners integrate AI into their solutions. Support partners in understanding AI/ML development, deployment, and optimization. 2. AI Solution Development & Integration Collaborate with partners to design, develop, and implement AI-powered solutions. Assist partners in integrating AI models (e.g., machine learning, NLP, computer vision) into their products. Support the customization of AI models for partner use cases. Ensure scalability, security, and efficiency in AI deployments within partner ecosystems. 3. Technical Support & Troubleshooting Provide hands-on technical support for partners during AI development and deployment. Troubleshoot AI-related issues, ensuring smooth integration with partner platforms. Work closely with internal AI teams to address partner challenges. 4. Collaboration & Relationship Management Build and maintain strong relationships with technology and business partners. Act as a bridge between internal AI teams and external partners. Gather feedback from partners and relay insights to improve AI offerings. Align AI solutions with partner business objectives and industry trends. 5. AI Research & Innovation Stay updated on the latest AI trends, tools, and best practices. Experiment with emerging AI models and frameworks to provide innovative solutions for partners. Collaborate with AI researchers and developers to enhance AI capabilities. 6. Compliance, Ethics & Responsible AI Ensure AI solutions comply with ethical AI principles and industry regulations. Advise partners on AI governance, data privacy, and compliance requirements. Promote fairness, transparency, and accountability in AI deployments. Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise AI & Machine Learning Frameworks Proficiency in AI/ML libraries Experience working with large-scale AI models (e.g., LLMs, generative AI, reinforcement learning). Knowledge of edge AI and AI model optimization for different deployment environments. Programming & Development Skills Strong coding skills in Python Experience with AI-driven APIs and SDKs for partner integrations. Knowledge of DevOps/MLOps pipelines, CI/CD for AI, and automation tools. Experience with AI/ML services from major cloud providers:Familiarity with Kubernetes, Docker, and serverless AI deployments. 4. Data Engineering & AI Infrastructure Knowledge of big data processing frameworks (Apache Spark, Hadoop, Databricks). Experience with data pipelines, feature engineering, and model training at scale . Understanding of database technologies (SQL, NoSQL, GraphDBs). 5. AI Analytics & Monitoring Familiarity with AI observability and monitoring tools ( Experience in model explainability and AI performance tuning. Preferred technical and professional experience Strong experience in AI/ML, deep learning, and data science including Generative AI Proficiency in Python, TensorFlow, PyTorch, or other AI frameworks. Knowledge of cloud AI services Experience with MLOps, AI deployment, and model optimization. Excellent communication and technical enablement skills. Ability to work cross-functionally with internal teams and external partners.

Role: AI Architect Location: Pune & Bengaluru (Hybrid) Duration: Fulltime Key Responsibilities: Design, develop, and implement a scalable, AI-driven architecture platform. Work closely with architects and data scientists to embed AI/ML models into the system for enhanced decision-making, such as recommendation engines. Drive the adoption of AI Architect and best practices across the development teams, ensuring consistency and alignment with enterprise standards. Participate in and lead architecture communities of practice to foster knowledge-sharing and innovation within the organization. Stay updated on the latest architecture and technology trends relevant to financial services, such as cloud computing, data security, AI, and distributed systems. Skills / Qualifications: 5+ years of experience in at least one of the following: JavaScript, Java, TypeScript, or Python End-to-end Systems Development: Proven ability to architect and build complex systems with a long-term vision Expertise in financial services applications, including knowledge of transaction processing, risk management, and data security. Excellent communication skills, with the ability to present complex architectural ideas to diverse stakeholders. Strong problem-solving and critical thinking skills, with a track record of innovative solution design in complex environments. Understanding of experimental design, statistical analysis, and data-driven decision making. Proficiency in collaborating with data scientists to translate advanced models into scalable production code Familiarity with AI-driven frameworks like knowledge graphs, natural language processing (NLP), or recommendation systems is a big plus. -- Narsimha Reddy Team Lead Recruitment E: narsimha@ipivot.io

We are hiring for our client, who is an Indian multinational technology services company based in Pune. It is primarily engaged in cloud computing, internet of things, endpoint security, big data analytics and software product engineering services. About Position : As a crucial member of our team, you'll play a pivotal role across the entire machine learning lifecycle, contributing to our conversational AI bots, RAG system and traditional ML problem solving for our observability platform. Your tasks will encompass both operational and engineering aspects, including building production-ready inference pipelines, deploying and versioning models, and implementing continuous validation processes. On the LLM side you'll fine-tune generative AI models, design agentic language chains, and prototype recommender system experiments. Role: AL ML Engineer Location: Bengaluru Experience : 2-6 years What You'll Do Fine-tuning generative AI models to enhance performance. Designing AI Agents for conversational AI applications. Experimenting with new techniques to develop models for observability use cases Building and maintaining inference pipelines for efficient model deployment. Managing deployment and model versioning pipelines for seamless updates. Developing tooling to continuously validate models in production environments. What we're looking for: 2-6 Years Demonstrated proficiency in software engineering design practices. Bachelor's or advanced degree in Computer Science, Engineering, Mathematics, or a related field. Advanced degree (Master's or Ph.D.) preferred. Experience working with transformer models and text embeddings. Proven track record of deploying and managing ML models in production environments. Familiarity with common ML/NLP libraries such as PyTorch, TensorFlow, HuggingFace Transformers, and SpaCy. Preferred experience developing production-grade applications in Python. Proficiency in Kubernetes and containers. Familiarity with concepts/libraries such as sklearn, kubeflow, argo, and seldon. • Expertise in Python, C++, Kotlin, or similar programming languages. Experience designing, developing, and testing scalable distributed systems. Familiarity with message broker systems (e.g., Kafka, RabbitMQ). Knowledge of application instrumentation and monitoring practices. Experience with ML workflow management, like AirFlow, Sagemaker, etc. Familiarity with the AWS ecosystem. Past projects involving the construction of agentic language chains. Benefits : Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents .

TEAM LEAD -Lidar/ADAS (Computer Vision) Required Skill: 3-5 years of relevant experience in a leadership role within IT services. Previous experience in LiDAR data annotation/CV projects, particularly with 3D, 2D BB and polygon annotation, is preferable. Experience in a leadership or supervisory role is preferred. Prior experience in a client-facing role managing multiple projects simultaneously is highly preferred. Education Qualification: Minimum Graduate Roles & Responsibility: Lead a team of annotators (minimum of 20) to ensure timely and accurate delivery of annotated LiDAR data. Develop project plans, set milestones, and monitor progress to ensure deadlines are met. Annotation Quality Assurance: Define annotation guidelines and standards for cuboid and polygon annotation. Conduct quality checks and audits to ensure annotations meet accuracy and consistency requirements. Technical Skills Proficiency in LiDAR data processing tools and annotation software (e.g., Labelbox, Cubemos) is required. Knowledge of 3D point cloud data formats and understanding of geometric shapes (cuboids, polygons) is beneficial. Team Supervision and Training - Provide guidance, mentorship, and supervision to annotation team members. - Train new team members on annotation techniques, tools, and project-specific requirements. Tool and Workflow Optimization - Evaluate and implement annotation tools and software to improve efficiency and accuracy. - Develop and refine annotation workflows to streamline processes and maximize productivity. Communication and Collaboration - Liaise with project stakeholders (e.g., clients, project managers) to understand requirements and expectations. - Communicate project updates, challenges, and solutions effectively to ensure transparency and alignment. Problem Solving and Decision Making - Address technical challenges and issues related to L

Process Trainer- Lidar Position Description: As a high GT and Simulation Trainer, you will be responsible for designing, developing, and delivering training programs in 2D & 3D with high simulation technology using different computer programming and languages. The Trainer's role is crucial in ensuring participants are well- prepared for real-world situations by immersing them in lifelike simulations. Also, the need would be to conduct training for labeling diverse datasets, including images & complex/dense 3D point clouds or LiDAR. Required Skill: Skill requirements: Excellent command of the English language. Good presentation, communication, and facilitation skills. Experience in teaching, training, or instructional design is advantageous. Experience of interaction with overseas clients. Ability to adapt training approaches for varying skill levels and industries. High comfort level with using tech tools/platforms. Attention to detail, critical thinking, and problem-solving skills. Multi-tasking and time management. Strong interpersonal skills and analytical bent of mind. Good with MS Word, Excel, and PowerPoint. Additional Skill Requirements- Preferred: Previous 3D or Simulation training experience. Previous labeling and annotation experience in 3D or Simulation. Familiarity with computer programming, coding, simulation software, and technology. Familiarity with different computer languages and coding. Road Rules Knowledge. Detail-oriented with adaptability to changing training needs. Location: Hubli Preferred candidate profile Bachelor's Degree / Master's Degree / Diploma or Technical Preferable subject: Prediction, Planning, Simulation & Basic knowledge of programming & computer languages E.g.: Java, Python, C++, etc