6900 Machine Learning Jobs - Page 11

Group Company: MINDSPRINT DIGITAL (INDIA) PRIVATE LIMITED Designation: AISolution Architect JobDescription: Designand implement AI-driven solutions that integrate machine learning, NLP, andother AI technologies. Leadthe architecture and deployment of AI models in production environments. Collaboratewith data scientists, engineers, and business leaders to identify AI use casesand opportunities. Ensurethe scalability, reliability, and performance of AI solutions across theorganization. Developand maintain AI governance frameworks, including ethical considerations andbias mitigation. Stayupdated with the latest advancements in AI and integrate cutting-edgetechnologies into solutions. Providetechnical leadership and mentorship to the AI and data science teams. PresentAI solutions and strategies to executive leadership and key stakeholders. ProfileDescription: Experience:12-15 years in software architecture and AI solutions, with deep experience inmachine learning and data science. Skills:Proficiency in AI/ML frameworks (TensorFlow, PyTorch), cloud platforms (GCP,AWS, Azure), and programming languages (Python, R). Qualifications:Masters or PhD in Computer Science, AI, or related field. Competencies:Strategic thinking with strong leadership skills to guide AI initiatives acrossthe enterprise. Certifications:AI/ML specialization or certification from recognized institutions. Knowledge:Extensive experience in deploying AI solutions at scale, with a focus on MLOpspractices. SoftSkills: Excellent communication and collaboration skills to work withcross-functional teams and stakeholders. Required abilities Physical: Other: Work Environment Details: Specific requirements Travel: Vehicle: Work Permit: Other details Pay Rate: Contract Types: Time Constraints: Compliance Related: Union Affiliation:

Experience Required: Minimum 20 Years Educational Background: Engineering (Not pure sciences); One degree from an international university preferred Role Summary: We are seeking a visionary and experienced academic leader to serve as Dean School of Engineering & Sciences (SES). The ideal candidate will have extensive academic and administrative experience within a university ecosystem and a strong specialization in cutting-edge domains such as Robotics or VLSI (Very Large-Scale Integration). The Dean will be responsible for shaping academic policy, leading the faculty, enhancing research outputs, and elevating the schools national and global reputation. Key Responsibilities: Academic Leadership: o Drive the strategic vision of the School of Engineering & Sciences in line with the Universitys mission. o Ensure delivery of high-quality education and curriculum development in Robotics, VLSI, and related disciplines. Faculty Development & Governance: o Recruit, mentor, and retain high-quality faculty. o Foster a culture of teaching excellence, innovation, and continuous improvement. Research & Innovation: o Promote funded research projects, industry collaboration, and publication in high-impact journals. o Encourage interdisciplinary and international research initiatives. Industry Collaboration & Partnerships: o Build strong linkages with industry leaders and global institutions. o Guide students and faculty in internships, consultancies, MoUs, and technology transfer projects. Student Success: o Ensure superior academic outcomes and holistic development of students. o Support placement activities, career guidance, and entrepreneurial ventures. Compliance & Quality Assurance: o Ensure adherence to regulatory requirements (NAAC, NBA, AICTE, UGC). o Drive the accreditation and ranking initiatives. Ideal Candidate Profile: Minimum 20 years of relevant academic experience, including at least 5 years in a leadership capacity (Dean/HoD/Director). Must hold an Engineering degree background (B.Tech/B.E. and higher), with no pure science specialization. One degree from an international university is highly preferred. Strong expertise and academic output in Robotics, VLSI, Embedded Systems, or related disciplines. Demonstrated ability to lead large teams, manage academic operations, and drive institutional growth. Prior experience in autonomous/private/deemed universities is essential. Preferred candidates: South Indian or Maharashtrian background, with strong cultural alignment and academic depth. Key Competencies: Visionary leadership with strong decision-making abilities Academic and research excellence People management and conflict resolution Cross-functional collaboration and communication skills Strategic planning, budgeting, and execution Skills : - Dean School of Engineering Dean Engineering & Sciences Dean Robotics / VLSI Engineering School Dean Academic Head Engineering Dean University Engineering Department On-campus faculty job in Greater Noida20+ years academic experience Dean / Director level Academic leadership role University administration Senior leadership in higher educationEngineering background only (B.Tech / M.Tech / Ph.D) Robotics VLSI (Very Large-Scale Integration) Embedded Systems AICTE / UGC / NBA / NAAC compliance Interdisciplinary engineering Research leadership Funded research projects International academic partnerships Industry collaboration in education Technology transfer High-impact journal publications Global education exposure South Indian / Maharashtrian academic leaders Deemed university experience Culturally aligned academic professionals International university degree preferredVisionary academic leadership Strategic planning & execution People management Cross-functional coordination Decision-making in academia Student success & placement support

Key Responsibilities: Monitor and maintain data pipeline reliability , including logging, alerting, and troubleshooting failures. Good knowledge on Artificial Intelligence and Machine learning Design, develop, and optimize relational and NoSQL databases for diverse applications, including AI and large-scale data processing. Build and manage ETL/ELT pipelines to ensure efficient data processing and transformation. Optimize database performance for high-availability applications, reporting, and analytics . Implement data partitioning, indexing, and sharding strategies for scalability. Ensure data integrity, governance, and security across multiple applications. Collaborate with teams to streamline data access, model storage, and training workflows when applicable. Develop SQL queries, stored procedures, and views for efficient data retrieval. Monitor and troubleshoot database performance, bottlenecks, and failures . Required Skills & Qualifications: Strong SQL expertise (writing complex queries, optimization, stored procedures, indexing). Experience with relational databases (PostgreSQL, SQL Server) and NoSQL databases (MongoDB, Redis). Knowledge of AI-related database optimizations , such as vector databases (e.g., Pinecone, FAISS, Weaviate) for embedding storage and retrieval is a plus. Experience working with enterprise data workflows , including data modeling and architecture. Dimensional Modeling / Data Warehousing : Experience with dimensional modeling (star/snowflake schemas) and data warehousing concepts (e.g., Kimball, Inmon). Metadata Management & Data Catalogs : Familiarity with metadata management, data catalogs, or data lineage tools (e.g., Alation, Data Catalog in GCP, AWS Glue Data Catalog). Hands-on experience with cloud platforms (AWS, Azure, GCP) and cloud-based data storage solutions. Familiarity with big data technologies (Spark, Hadoop, Kafka) is a plus. Strong Python or SQL scripting skills for data manipulation and automation. Knowledge of data security, privacy regulations (GDPR, CCPA), and compliance standards . Unit / Integration Testing : Experience with testing data pipelines, including unit and integration testing for transformations. Documentation : Strong documentation practices for pipelines, database schemas, and data governance processes. Excellent problem-solving skills and ability to collaborate with cross-functional teams . Experience with workflow orchestration tools like Apache Airflow or Prefect. Preferred Qualifications: Experience with vector databases and retrieval-augmented generation (RAG) workflows. Understanding of AI model storage, caching, and retrieval from databases when applicable. Experience in machine learning model feature engineering and ML model versioning . Experience with containerization technologies like Docker or Kubernetes for deploying data solutions. Data Quality and Observability Tools : Experience with tools or frameworks for data quality checks, validation, and data observability (e.g., Great Expectations, Monte Carlo, Databand). Role & responsibilities Preferred candidate profile

We are seeking a highly skilled and motivated AI Architect to join our dynamic team. The ideal candidate is a process-oriented, self-learner, and passionate professional with over 8 years of experience in application development, product delivery, and client-relationship management. As an AI Architect, you will play a key role in designing, developing, and deploying innovative AI-based solutions that leverage the power of machine learning, Gen AI and Deep learning techniques. Key Responsibilities : - Design, develop, and deploy generative AI-based solutions using cutting-edge technologies and methodologies. - Collaborate with cross-functional teams to gather requirements, design architecture, and plan development and deployment strategies. - Utilize statistical analysis and data mining techniques to extract meaningful insights from data and build machine learning models. - Develop and enhance chatbot solutions by integrating language models and rule-based functions to provide accurate and reliable recommendations. - Implement moderation layers and fine-tune models to improve chatbot performance and user experience. - The design process flows for on-demand availability of AI models without the need for extra coding. - Fine-tune models using advanced techniques and enterprise data to optimize performance. - Design architecture for information retrieval and implement caching mechanisms for faster retrievals. - Perform data gathering, preprocessing, and model building tasks for various AI projects, including Q&A systems and healthcare applications. - Utilize NLP techniques and libraries such as NLTK for text processing, cleaning, and information extraction. Required Skills : - Bachelor's or Master's degree in Computer Science, Engineering, or related field. - 2+ years of experience in application development, enhancement, and product delivery. - Proficiency in Python programming language. - Experience with Langchain. - Hands-on experience with LLM

We are seeking a highly skilled and motivated AI Architect to join our dynamic team. The ideal candidate is a process-oriented, self-learner, and passionate professional with over 8 years of experience in application development, product delivery, and client-relationship management. As an AI Architect, you will play a key role in designing, developing, and deploying innovative AI-based solutions that leverage the power of machine learning, Gen AI and Deep learning techniques. Key Responsibilities : - Design, develop, and deploy generative AI-based solutions using cutting-edge technologies and methodologies. - Collaborate with cross-functional teams to gather requirements, design architecture, and plan development and deployment strategies. - Utilize statistical analysis and data mining techniques to extract meaningful insights from data and build machine learning models. - Develop and enhance chatbot solutions by integrating language models and rule-based functions to provide accurate and reliable recommendations. - Implement moderation layers and fine-tune models to improve chatbot performance and user experience. - The design process flows for on-demand availability of AI models without the need for extra coding. - Fine-tune models using advanced techniques and enterprise data to optimize performance. - Design architecture for information retrieval and implement caching mechanisms for faster retrievals. - Perform data gathering, preprocessing, and model building tasks for various AI projects, including Q&A systems and healthcare applications. - Utilize NLP techniques and libraries such as NLTK for text processing, cleaning, and information extraction. Required Skills : - Bachelor's or Master's degree in Computer Science, Engineering, or related field. - 2+ years of experience in application development, enhancement, and product delivery. - Proficiency in Python programming language. - Experience with Langchain. - Hands-on experience with LLM

Responsibilities : - Design and Development : Architect, design, and develop user-friendly and scalable AI-powered applications using React.js for the frontend and Node.js for the backend. - Generative AI Implementation : Implement, integrate, and fine-tune Generative AI models (e.g., text generation, image synthesis) for specific application requirements. - API Development and Integration : Develop and consume RESTful and GraphQL APIs to facilitate communication between frontend applications and AI/ML models and backend services. - LLM and NLP Integration : Leverage Large Language Models (LLMs) and Natural Language Processing (NLP) techniques to enhance application features and user interactions. - Machine Learning Frameworks : Utilize and integrate various machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) as needed for specific AI functionalities. - Performance Optimization : Optimize AI models and application code for performance, scalability, reliability, and cost-effectiveness. - Collaboration : Collaborate effectively with data scientists, machine learning engineers, backend developers, product managers, and designers throughout the development lifecycle. - Code Quality and Best Practices : Write clean, well-documented, and testable code, adhering to best practices and contributing to CI/CD pipelines for continuous integration and deployment. - Research and Innovation : Stay abreast of the latest advancements in Generative AI, Large Language Models, NLP, web development technologies, and industry trends. Proactively explore and propose new technologies and approaches to enhance our products. - Problem Solving : Troubleshoot and resolve technical issues related to AI model integration, application performance, and API interactions. - Documentation : Create and maintain comprehensive technical documentation for developed components and systems. Qualifications : - Education : Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field. - Experience : [Specify the desired years of experience - e.g., 2-5 years] of professional experience in full-stack development with a focus on frontend (React.js) and backend (Node.js) technologies. - Frontend Expertise : Proven experience in developing responsive and dynamic user interfaces using React.js, including state management libraries (e.g., Redux, Zustand, Context API), component-based architecture, and modern JavaScript (ES6+). - Backend Expertise : Solid experience in developing robust and scalable backend applications using Node.js and frameworks like Express.js or NestJS. - API Development : Strong understanding and practical experience in designing and implementing RESTful and/or GraphQL APIs. - AI/ML Fundamentals : Familiarity with fundamental concepts of Artificial Intelligence and Machine Learning, including different types of models and their applications. - Generative AI Exposure : Experience with implementing or fine-tuning Generative AI models (e.g., using libraries or cloud-based services). - LLM and NLP Knowledge : Understanding of Large Language Models (LLMs) and Natural Language Processing (NLP) concepts and their practical applications. - Machine Learning Frameworks (Desirable) : Familiarity with one or more machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. - Database Knowledge : Experience working with various database systems (e.g., PostgreSQL, MySQL, MongoDB). - DevOps Practices : Understanding of CI/CD pipelines and experience with relevant tools (e.g., Jenkins, GitLab CI/CD, GitHub Actions). - Testing : Experience with writing unit, integration, and end-to-end tests. - Problem-Solving Skills : Excellent analytical and problem-solving abilities. - Communication Skills : Strong written and verbal communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences. - Collaboration : Ability to work effectively in a collaborative team environment

We are seeking a highly skilled and motivated AI Architect to join our dynamic team. The ideal candidate is a process-oriented, self-learner, and passionate professional with over 8 years of experience in application development, product delivery, and client-relationship management. As an AI Architect, you will play a key role in designing, developing, and deploying innovative AI-based solutions that leverage the power of machine learning, Gen AI and Deep learning techniques. Key Responsibilities : - Design, develop, and deploy generative AI-based solutions using cutting-edge technologies and methodologies. - Collaborate with cross-functional teams to gather requirements, design architecture, and plan development and deployment strategies. - Utilize statistical analysis and data mining techniques to extract meaningful insights from data and build machine learning models. - Develop and enhance chatbot solutions by integrating language models and rule-based functions to provide accurate and reliable recommendations. - Implement moderation layers and fine-tune models to improve chatbot performance and user experience. - The design process flows for on-demand availability of AI models without the need for extra coding. - Fine-tune models using advanced techniques and enterprise data to optimize performance. - Design architecture for information retrieval and implement caching mechanisms for faster retrievals. - Perform data gathering, preprocessing, and model building tasks for various AI projects, including Q&A systems and healthcare applications. - Utilize NLP techniques and libraries such as NLTK for text processing, cleaning, and information extraction. Required Skills : - Bachelor's or Master's degree in Computer Science, Engineering, or related field. - 2+ years of experience in application development, enhancement, and product delivery. - Proficiency in Python programming language. - Experience with Langchain. - Hands-on experience with LLM

We are seeking a highly skilled and motivated AI Architect to join our dynamic team. The ideal candidate is a process-oriented, self-learner, and passionate professional with over 8 years of experience in application development, product delivery, and client-relationship management. As an AI Architect, you will play a key role in designing, developing, and deploying innovative AI-based solutions that leverage the power of machine learning, Gen AI and Deep learning techniques. Key Responsibilities : - Design, develop, and deploy generative AI-based solutions using cutting-edge technologies and methodologies. - Collaborate with cross-functional teams to gather requirements, design architecture, and plan development and deployment strategies. - Utilize statistical analysis and data mining techniques to extract meaningful insights from data and build machine learning models. - Develop and enhance chatbot solutions by integrating language models and rule-based functions to provide accurate and reliable recommendations. - Implement moderation layers and fine-tune models to improve chatbot performance and user experience. - The design process flows for on-demand availability of AI models without the need for extra coding. - Fine-tune models using advanced techniques and enterprise data to optimize performance. - Design architecture for information retrieval and implement caching mechanisms for faster retrievals. - Perform data gathering, preprocessing, and model building tasks for various AI projects, including Q&A systems and healthcare applications. - Utilize NLP techniques and libraries such as NLTK for text processing, cleaning, and information extraction. Required Skills : - Bachelor's or Master's degree in Computer Science, Engineering, or related field. - 2+ years of experience in application development, enhancement, and product delivery. - Proficiency in Python programming language. - Experience with Langchain. - Hands-on experience with LLM

Responsibilities : - Work experience of 3+ years with Deep Learning and Neural networks. - Researching new models and machine learning algorithms. - Designing prototypes and conducting experiments to guide engineering efforts. - Creating ML applications based on client/customer requirements. - Tell business stories through model outcomes and data. - Analyzing test results to improve models. - Exploring and visualizing data to identify potential issues that might affect model performance. - Preparing data sets from various sources (APIs, databases, text files, etc.) for algorithm use. - Production deployment and maintenance of ML Systems. Skills required for this position include : - Advanced math and stats skills (calculus, linear algebra, Bayesian statistics). - A degree in a related field (math, computer science, statistics). - Strong teamwork, problem-solving, and analytical abilities. - Knowledge of data science. - Proficiency in coding and programming languages (Python, SQL). - Practical experience with ML frameworks and libraries. - Knowledge of software architecture, data modeling, and data structures. - Knowledge of running ML algorithms on cloud platforms (AWS, AZURE, Google cloud).

AI ML GENAI technical lead Good experience in training AI ML models, and using it for testing Feature selection, KPI generation of feature selection Feed forward neural networks, reinforcement learning, DCNN Cleaning the data, handling big data for AI application Random forest, regression based methods KPI generation for AI ML methods - MMSE, MAPE etc. Embedded implementation of AI ML methods AI ML implementation of Automotive applications GENAI based SW framework development Agentic framework design, development and validation Scaling the AI framework in cloud Cloud based AI solution development, hosting Core Python development experience

Position Overview : We are seeking an experienced NLP & LLM Specialist to join our team. The ideal candidate will have deep expertise in working with transformer-based models, including GPT, BERT, T5,RoBERTa, and similar models. This role requires experience in fine-tuning these pre-trained models on domain-specific tasks, as well as crafting and optimizing prompts for natural language processing tasks such as text generation, summarization, question answering, classification, and translation. The candidate should be proficient in Python and familiar with NLP libraries like Hugging Face, SpaCy, and NLTK, with a solid understanding of model evaluation metrics. Roles and Responsibilities : - Model Expertise : - Work with transformer models such as GPT, BERT, T5, RoBERTa, and others for a variety of NLP tasks, including text generation, summarization, classification, and translation. - Model Fine-Tuning: Fine-tune pre-trained models on domain-specific datasets to improve performance for specific applications such as summarization, text generation, and question answering. - Prompt Engineering: Craft clear, concise, and contextually relevant prompts to guide transformer-based models towards generating desired outputs for specific tasks. - Iterate on prompts to optimize model performance. - Instruction-Based Prompting: Implement instruction-based prompting to guide the model toward achieving specific goals, ensuring that the outputs are contextually accurate and aligned with task objectives. - Zero-shot, Few-shot, Many-shot Learning: Utilize zero-shot, few-shot, and many-shot learning techniques to improve model performance without the need for full retraining. - Chain-of-Thought (CoT) Prompting: Implement Chain-of-Thought (CoT) prompting to guide models through complex reasoning tasks, ensuring that the outputs are logically structured and provide step-by-step explanations. - Model Evaluation: Use evaluation metrics such as BLEU, ROUGE, and other relevant metrics to assess and improve the performance of models for various NLP tasks. - Model Deployment: Support the deployment of trained models into production environments and integrate them into existing systems for real-time applications. - Bias Awareness: Be aware of and mitigate issues related to bias, hallucinations, and knowledge cutoffs in LLMs, ensuring high-quality and reliable outputs. - Collaboration: Collaborate with cross-functional teams including engineers, data scientists, and product managers to deliver efficient and scalable NLP solutions. Must Have Skill : - Overall 7 years with at least 5+ years of experience working with transformer-based models and NLP tasks, with a focus on text generation, summarization, question answering, classification, and similar tasks. - Expertise in transformer models like GPT (Generative Pre-trained Transformer), BERT (Bidirectional Encoder Representations from Transformers), T5 (Text-to-Text Transfer Transformer), RoBERTa, and similar models. - Familiarity with model architectures, attention mechanisms, and self-attention layers that enable LLMs to generate human-like text. - Experience in fine-tuning pre-trained models on domain-specific datasets for tasks such as text generation, summarization, question answering, classification, and translation. - Familiarity with concepts like attention mechanisms, context windows, tokenization, and embedding layers. - Awareness of biases, hallucinations, and knowledge cutoffs that can affect LLM performance and output quality. - Expertise in crafting clear, concise, and contextually relevant prompts to guide LLMs towards generating desired outputs. - Experience in instruction-based prompting - Use of zero-shot, few-shot, and many-shot learning techniques for maximizing model performance without retraining. - Experience in iterating on prompts to refine outputs, test model performance, and ensure consistent results. - Crafting prompt templates for repetitive tasks, ensuring prompts are adaptable to different contexts and inputs. - Expertise in chain-of-thought (CoT) prompting to guide LLMs through complex reasoning tasks by encouraging step-by-step breakdowns. - Proficiency in Python and experience with NLP libraries (e.g , Hugging Face, SpaCy, NLTK). - Experience with transformer-based models (e.g , GPT, BERT, T5) for text generation tasks. - Experience in training, fine-tuning, and deploying machine learning models in an NLP context. - Understanding of model evaluation metrics (e.g , BLEU, ROUGE) Qualification : - BE/B.Tech or Equivalent degree in Computer Science or related field. - Excellent communication skills in English, both verbal and written.

Job Title: Head of Department (HOD) - Computer Science Location: Nalanda Vidyaniketan, Vijayawada, Andhra Pradesh, India. Job Type: Full-Time About Our School: Nalanda Vidyaniketan is a premier CBSE-affiliated institution committed to academic excellence and technological advancement. We aim to equip students with cutting-edge IT skills and foster a deep understanding of computer science. Job Description: We are seeking a highly experienced and skilled PGT Developer Level Computer Science HOD to lead the Computer Science Department for Classes 6-12. The ideal candidate should have expertise in modern programming languages, emerging technologies, and innovative teaching methodologies. They will oversee curriculum development, mentor faculty, and ensure high-quality education delivery. Responsibilities: Department Leadership: Provide strategic direction and leadership to the Computer Science department. Curriculum Development: Design and update an advanced curriculum aligned with CBSE guidelines, incorporating AI, machine learning, cybersecurity, and cloud computing. Lesson Planning & Delivery: Ensure engaging and high-quality lesson plans for secondary and senior secondary students. Faculty Development: Mentor and train computer science teachers, promoting continuous professional growth. Technology Integration: Implement the latest educational technologies, coding platforms, and digital tools for enhanced learning. Project & Research Guidance: Supervise student projects, coding competitions, and research initiatives. Industry Collaboration: Establish partnerships with IT companies, universities, and tech professionals for guest lectures, internships, and industry exposure. Assessment & Evaluation: Develop assessment tools to measure student progress and department effectiveness. Cybersecurity & Ethics: Ensure students and faculty adhere to responsible digital practices and cybersecurity measures. Event Management: Organize hackathons, tech fairs, and coding workshops. Administrative Duties: Coordinate with school leadership, maintain department records, and manage lab infrastructure. Qualifications: Education: Postgraduate degree in Computer Science, Information Technology, or a related field with B.Ed. or M.Ed. Experience: 10+ years of teaching experience, including senior secondary (Classes 11-12). Proven track record of leadership in an academic institution. Expertise in programming languages such as Python, Java, C++, SQL, and web development. Experience in AI, data science, networking, cybersecurity, and cloud computing is preferred. Screening Process: Written Test: Subject-specific evaluation in advanced computer science topics. Technical Test: Practical assessment of programming, database management, and software applications. Teaching Demonstration: Conduct a lesson to demonstrate teaching effectiveness. Leadership Interview: Evaluate leadership vision, teaching philosophy, and department management approach. Salary: HOD - Computer Science: ₹35,000 - ₹50,000 per month Job Type: Full-time Schedule: Day shift Ability to Commute/Relocate: Vijayawada, Andhra Pradesh: Reliably commute or willing to relocate with an employer-provided relocation package (Preferred). Education: Master’s in Computer Science, IT, or a related field (Preferred). Experience: PGT Computer Science: 10+ years (Preferred). Departmental Leadership: 5+ years (Preferred). Language: English (Preferred). Work Location: In person. Job Type: Full-time Pay: ₹35,000.00 - ₹50,000.00 per month Schedule: Day shift Work Location: In person

Job Title - GN-Comms & Media -Mobile Private Networks Consultant Management Level: 9-Team Lead/Consultant Location: Gurugram, DDC1A, NonSTPI Must-have skills: Intelligent Networks Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Work in teams to deliver projects for global clients, and be responsible, with minimal supervision, for: Independently liaise with customers and convincingly present solutions - especially in an unstructured and ever-changing client environment. Be able to independently question the customer, when required Gather business requirements from client stakeholders via interactions like interviews and workshops Understand customer needs and translate them to business requirements (business requirement definition), business process flows and functional requirements thereby acting as an interface between business and technology teams Ability to understand the as-is process; understand issues with the processes which can be resolved either through technology or process solutions and design detail level to-be process with all stakeholders Engage all the stakeholders as a virtual team (Customer, Development and Accounts team, Product manager, operations) for sales origination, solutioning and delivery Propose solutions to the client based on gap analysis for the existing platforms against industry benchmarks Business Development: Support global sales team to identify and win potential opportunities within the practice. Help in drafting proposals as an expert for different areas Support proposals, business development efforts and coordinate with other colleagues to create consensus-driven deliverables Develop assets and best practices, point-of-view, research, or white papers for use by the team and larger community Your experience counts! MBA from a Tier 1 and Tier 2 school and Engineering from Tier 1 school or rich relevant industry experience Diversity Candidates preferred Candidate should have 1-6 years experience of working with consulting / services provider firms in the telecom networks service assurance domain. Direct onsite experience (i.e., experience of facing client inside client offices in India or abroad) is mandatory Exposure to global clients is preferred Have done a project delivery or performed POC related to use-case enablement using Private network Certifications related to BPMN, eTOM, ITIL, SID, TAM or similar is good to have Should have Impeccable team management skills with an ability to engage effectively with multiple stakeholders Strong analytical, problem-solving skills and good communication skills Should have Cross-cultural competence with an ability to thrive in a dynamic environment Preferable working knowledge of Automation across RPA / Artificial Intelligence / Machine Learning etc. Good experience of team Management Coach and mentor team members in projects, on asset development, BDs, and overall professional development Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. Then, Accenture Strategy and Consulting is the right place for you to explore limitless possibilities. Comms & Media (C&M) is one of the Industry Practices within Accentures S&C Global Network (CN) team. It focuses in serving clients across specific Industries Communications, Media & Entertainment. Communications Focuses primarily on industries related with telecommunications and information & communication technology (ICT). This dynamic team serves most of the worlds leading wireline, wireless, cable and satellite communications and service providers. Media & Entertainment Focuses on industries like broadcast, entertainment, print and publishing. Globally, Accenture Comms & Media practice works to develop value growth strategies for its clients, who are top-notch organizations, and help improve their offers and go-to-market performance and maximize organizational effectiveness. We work on end-to-end projects delivering management and technology consultancy to help our clients achieve greater profitability, quality, and reliability. From multi-year major systems integration transformation deals to shorter more agile engagements, we have a rapidly expanding portfolio of hyper-growth clients and an increasing footprint with next-gen technology and industry practices, with the following requirements: Deep expertise in one or more Telecom Domains Lead delivery of small to medium-size teams to deliver management consulting projects for global clients. Lead innovation transformation programs and process enablement for our clients Take responsibility within Comms & Media industry group or across the Products group, help build the practice, track metrics, and so on. Develop assets and methodologies , point-of-view, research, or white papers for use by the team and larger community. Support global sales team to identify and win potential opportunities within the practice. Help in drafting proposals as an expert for domain areas. Lead proposals, business development efforts and coordinate with other colleagues to create consensus-driven deliverables. Understand customer needs and translate them to business requirements, business process flows and functional requirements Experience to engage with stakeholders independently Execute a transformational change plan aligned with clients business strategy and context for change. Engage stakeholders in the change journey and build commitment for change. Bring your best skills forward to excel in the role! Technical Experience Must-Haves Experience in building 5G network strategy, Operating Model design, Process Transformation, governance & program management Experience in assessing clients current maturity and recommending the transition strategies and defining roadmap Experience in use case identification, prioritization, and monetization for Private network deployment (on prem & cloud deployment) Experience in Private network rollout planning, capacity dimensioning etc. Experience of working in multi-vendor and multi-technology ecosystem In- Depth knowledge Wireless network technologies i.e., LTE/5G, WiFi5/6, SD-WAN Good understanding of Private Network KPI definitions and measurement Good understanding of network generations, architecture, and 3GPP/ETSI/O-RAN specifications Good To Have Understanding the competitive landscape and market opportunities in Private Networks space Understanding of EPC/5G Core, Edge cloud, Multi Edge Computing (MEC), NFV, SDN and Applications Good understanding on Network Analytics - AI based Service Assurance use cases to drive business/operations benefits Good understanding of Network operations Processes, tools, operating model etc. Familiarity with microservices and CNCF services Basic understanding of SCADA, PLC, Robots, sensors of IT-OT environment, data collection and database system to control logic functions, API gateways, orchestrators, and middleware Core Skills required at least in one or more roles Experience in the role of Functional Business Analyst, Product Owners, Process Designers, Service Designers, Scrum Masters i.e. Value Architect and Tracking - Define value driver trees translating into value components and key KPIs linked to Business objectives Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 8-10Years Educational Qualification: Any Degree

As the data engineering consultant, you should have the common traits and capabilities that are listed Essential Requirements and meet many of the capabilities listed in Desirable Requirements Essential Requirements and Skills 10+ years working with customers in the Data Analytics, Big Data and Data Warehousing field. 10+ years working with data modeling tools. 5+ years building data pipelines for large customers. 2+ years of experience working in the field of Artificial Intelligence that leverages Big Data. This should be in a customer-facing services delivery role. 3+ years of experience in Big Data database design. A good understanding of LLMs, prompt engineering, fine tuning and training. Strong knowledge of SQL, NoSQL and Vector databases. Experience with popular enterprise databases such as SQL Server, MySQL, Postgres and Redis is a must. Additionally experience with popular Vector Databases such as PGVector, Milvus and Elasticsearch is a requirement. Experience with major data warehousing providers such as Teradata. Experience with data lake tools such as Databricks, Snowflake and Starburst. Proven experience building data pipelines and ETLs for both data transformation and multiple data source data extraction. Experience with automation of the deployment and execution of these pipelines. Experience with tools such as Apache Spark, Apache Hadoop, Informatica and similar data processing tools. Proficient knowledge of Python and SQL is a must. Proven experience with building test procedures, ensuring the quality, reliability, performance, and scalability of the data pipelines. Ability to develop applications that expose Restful APIs for data querying and ingestion. Experience preparing training data for Large Language Model ingestion and training (e.g. through vector databases). Experience with integrating with RAG solutions and leveraging related tools such as Nvidia Guardrails. Ability to define and implement metrics for RAG solutions. Understanding of typical AI tooling ecosystem including knowledge and experience of Kubernetes, MLOps, LLMOps and AIOps tools. Ability to gain customer trust, ability to plan, organize and drive customer workshops. Good communication skills in English is a must. The ability to work in a highly efficient team using an Agile methodology such as Scrum or Kanban. Ability to have extended pairing sessions with customers, enabling knowledge transfers in complex domains. Ability to influence and interact with confidence and credibility at all levels within the Dell Technologies companies and with our customers, partners, and vendors. Experience working on project teams within a defined methodology while adhering to margin, planning and SOW requirements. Ability to be onsite during customer workshops and enablement sessions. Desirable Requirements and Skills Knowledge of industry widespread AI Studios and AI Workbenches is a plus. Experience building and using Information Retrieval (IR) frameworks to support LLM inferencing. Working knowledge of Linux is a plus. Knowledge of using Minio is appreciated. Experience using Lean and Iterative Deployment Methodologies. Working knowledge of cloud technologies is a plus. University Degree aligned to Data Engineering is a plus. In possession of relevant industry certifications e.g. Databricks Certified Data Engineer, Microsoft Certifications, etc.

Operate mixing machines for TMT pipe production, ensuring accurate mixing of raw materials as per specifications. Monitor machine performance, troubleshoot minor issues, and report major malfunctions to the supervisor. Perform routine maintenance, cleaning, and inspections of machines to ensure optimal functionality. Ensure adherence to quality control standards and verify the consistency of mixed materials. Follow safety guidelines and maintain a clean and organized work area. Record production data, including output quantities and machine performance metrics. Collaborate with the production team to meet daily targets and deadlines. Job Type: Full-time Pay: ₹15,000.85 - ₹25,500.68 per month Benefits: Provident Fund Schedule: Day shift Ability to commute/relocate: Ambala, Haryana: Reliably commute or planning to relocate before starting work (Required) Education: Diploma (Preferred) Experience: total work: 1 year (Preferred) MACHINE OPERATION: 1 year (Required) Machine learning: 1 year (Required) Shift availability: Night Shift (Preferred) Day Shift (Preferred)

Responsibilities : - Design and Development : Architect, design, and develop user-friendly and scalable AI-powered applications using React.js for the frontend and Node.js for the backend. - Generative AI Implementation : Implement, integrate, and fine-tune Generative AI models (e.g., text generation, image synthesis) for specific application requirements. - API Development and Integration : Develop and consume RESTful and GraphQL APIs to facilitate communication between frontend applications and AI/ML models and backend services. - LLM and NLP Integration : Leverage Large Language Models (LLMs) and Natural Language Processing (NLP) techniques to enhance application features and user interactions. - Machine Learning Frameworks : Utilize and integrate various machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) as needed for specific AI functionalities. - Performance Optimization : Optimize AI models and application code for performance, scalability, reliability, and cost-effectiveness. - Collaboration : Collaborate effectively with data scientists, machine learning engineers, backend developers, product managers, and designers throughout the development lifecycle. - Code Quality and Best Practices : Write clean, well-documented, and testable code, adhering to best practices and contributing to CI/CD pipelines for continuous integration and deployment. - Research and Innovation : Stay abreast of the latest advancements in Generative AI, Large Language Models, NLP, web development technologies, and industry trends. Proactively explore and propose new technologies and approaches to enhance our products. - Problem Solving : Troubleshoot and resolve technical issues related to AI model integration, application performance, and API interactions. - Documentation : Create and maintain comprehensive technical documentation for developed components and systems. Qualifications : - Education : Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field. - Experience : [Specify the desired years of experience - e.g., 2-5 years] of professional experience in full-stack development with a focus on frontend (React.js) and backend (Node.js) technologies. - Frontend Expertise : Proven experience in developing responsive and dynamic user interfaces using React.js, including state management libraries (e.g., Redux, Zustand, Context API), component-based architecture, and modern JavaScript (ES6+). - Backend Expertise : Solid experience in developing robust and scalable backend applications using Node.js and frameworks like Express.js or NestJS. - API Development : Strong understanding and practical experience in designing and implementing RESTful and/or GraphQL APIs. - AI/ML Fundamentals : Familiarity with fundamental concepts of Artificial Intelligence and Machine Learning, including different types of models and their applications. - Generative AI Exposure : Experience with implementing or fine-tuning Generative AI models (e.g., using libraries or cloud-based services). - LLM and NLP Knowledge : Understanding of Large Language Models (LLMs) and Natural Language Processing (NLP) concepts and their practical applications. - Machine Learning Frameworks (Desirable) : Familiarity with one or more machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. - Database Knowledge : Experience working with various database systems (e.g., PostgreSQL, MySQL, MongoDB). - DevOps Practices : Understanding of CI/CD pipelines and experience with relevant tools (e.g., Jenkins, GitLab CI/CD, GitHub Actions). - Testing : Experience with writing unit, integration, and end-to-end tests. - Problem-Solving Skills : Excellent analytical and problem-solving abilities. - Communication Skills : Strong written and verbal communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences. - Collaboration : Ability to work effectively in a collaborative team environment

As a Tech Associate in AI & GenAI, you’ll work directly with clients and cross-functional teams to design, prototype, implement AI-powered solutions and research-driven innovation. You’ll help translate business challenges into working models, leveraging Generative AI, large language models (LLMs), and traditional machine learning. This is a dynamic role, and you’ll need to be adaptable, client-focused, and comfortable working across industries and use cases while staying deeply engaged with the latest research trends and emerging AI practices. Ability to run developer sessions by training upcoming AI and GenAI Developers. Job Details Location, Department Unit and Reporting Location: Bangalore Department: Nasscom AI Reporting To: Director Basic Functions/ Job Responsibility Partner with clients to understand business requirements and identify AI/ML and Generative AI opportunities. Ability to suggest development process, fine-tune, and evaluate AI/ML models and algorithms to fit client needs. Build proofs-of-concept (PoCs), prepare demos, and support pilot projects in Generative AI (e.g. chatbots, text/image generation, data extraction). Write clean and modular code, ensuring high quality and scalability. Assist with data wrangling, feature engineering, model training, and fine-tuning. Prepare technical documentation and communicate findings and recommendations clearly to both technical and non-technical stakeholders. Stay up to date on AI trends, tools, and frameworks to suggest relevant solutions for clients. Engage in knowledge sharing through whitepapers, internal training sessions, or publishing short research findings to maintain thought leadership. Assist in training the upcoming AI and GenAI developers during the Nasscom developer sessions. Knowledge, Skills, Qualifications, Experience Bachelor’s or Master degree in Computer Science, AI, Data Science, or related discipline 1–2 years of hands-on experience with AI/ML frameworks (e.g. PyTorch, TensorFlow, Hugging Face Transformers, LangChain) Strong proficiency in Python; familiarity with version control (Git) and collaborative development processes Exposure to REST APIs, data processing tools, and cloud platforms is a plus Ability to explain technical concepts clearly to a diverse audience - clients, business users, and developers Proven research background: prior publications, academic collaboration, R&D, or prototyping new AI methods Excellent problem-solving and analytical skills with a proactive, consulting-oriented mindset

Role & responsibilities Key Responsibilities: Analyze large and complex data sets to identify patterns, trends, and actionable insights using AI techniques. Develop and implement AI models, including machine learning, deep learning, and natural language processing algorithms, to address client-specific challenges. Design, develop, test, and deploy scalable AI solutions in production environments (a plus) Collaborate with cross-functional teams, including consultants and industry experts, to understand client needs and deliver AI-driven solutions. Communicate findings and insights effectively to both technical and non-technical stakeholders. Continuously improve existing AI models and algorithms to enhance their accuracy and efficiency Stay up to date with the latest advancements in AI, machine learning, and deep learning, and apply them to client projects. Contribute to the development and maintenance of AI infrastructure and tools. Qualifications: Bachelors or masters degree in Statistics, Computer Science, Engineering, or a related field Corporate Finance knowledge/interest is a plus. Familiarity with Agile methodologies and experience working in Agile teams. A product improvement mindset, with a focus on iterating and enhancing AI solutions. Minimum of 3 years of work experience in data science or a related field with a focus on AI Strong knowledge of AI techniques (knowledge of Rag Implementation and Agents) including machine learning, deep learning, and natural language processing Proficiency in Python and related libraries (e.g., Pandas, NumPy, scikit-learn, streamlit) is mandatory. Proficiency in querying language like SQL Experience with AI and machine learning frameworks and libraries (e.g., TensorFlow, PyTorch) Strong problem-solving skills and attention to detail Good presentation and communication skills, with a knack for explaining complex analytical concepts to people from other fields. A proactive learning attitude and willingness to stay current with industry trends and technologies. Experience working in a collaborative team environment. Strong development skills, including software engineering best practices (e.g., version control, testing, code reviews) Experience with cloud platforms (e.g., AWS, Azure, Google Cloud)

We are seeking a highly skilled and motivated AI Architect to join our dynamic team. The ideal candidate is a process-oriented, self-learner, and passionate professional with over 8 years of experience in application development, product delivery, and client-relationship management. As an AI Architect, you will play a key role in designing, developing, and deploying innovative AI-based solutions that leverage the power of machine learning, Gen AI and Deep learning techniques. Key Responsibilities : - Design, develop, and deploy generative AI-based solutions using cutting-edge technologies and methodologies. - Collaborate with cross-functional teams to gather requirements, design architecture, and plan development and deployment strategies. - Utilize statistical analysis and data mining techniques to extract meaningful insights from data and build machine learning models. - Develop and enhance chatbot solutions by integrating language models and rule-based functions to provide accurate and reliable recommendations. - Implement moderation layers and fine-tune models to improve chatbot performance and user experience. - The design process flows for on-demand availability of AI models without the need for extra coding. - Fine-tune models using advanced techniques and enterprise data to optimize performance. - Design architecture for information retrieval and implement caching mechanisms for faster retrievals. - Perform data gathering, preprocessing, and model building tasks for various AI projects, including Q&A systems and healthcare applications. - Utilize NLP techniques and libraries such as NLTK for text processing, cleaning, and information extraction. Required Skills : - Bachelor's or Master's degree in Computer Science, Engineering, or related field. - 2+ years of experience in application development, enhancement, and product delivery. - Proficiency in Python programming language. - Experience with Langchain. - Hands-on experience with LLM

We are seeking a highly skilled and motivated AI Architect to join our dynamic team. The ideal candidate is a process-oriented, self-learner, and passionate professional with over 8 years of experience in application development, product delivery, and client-relationship management. As an AI Architect, you will play a key role in designing, developing, and deploying innovative AI-based solutions that leverage the power of machine learning, Gen AI and Deep learning techniques. Key Responsibilities : - Design, develop, and deploy generative AI-based solutions using cutting-edge technologies and methodologies. - Collaborate with cross-functional teams to gather requirements, design architecture, and plan development and deployment strategies. - Utilize statistical analysis and data mining techniques to extract meaningful insights from data and build machine learning models. - Develop and enhance chatbot solutions by integrating language models and rule-based functions to provide accurate and reliable recommendations. - Implement moderation layers and fine-tune models to improve chatbot performance and user experience. - The design process flows for on-demand availability of AI models without the need for extra coding. - Fine-tune models using advanced techniques and enterprise data to optimize performance. - Design architecture for information retrieval and implement caching mechanisms for faster retrievals. - Perform data gathering, preprocessing, and model building tasks for various AI projects, including Q&A systems and healthcare applications. - Utilize NLP techniques and libraries such as NLTK for text processing, cleaning, and information extraction. Required Skills : - Bachelor's or Master's degree in Computer Science, Engineering, or related field. - 2+ years of experience in application development, enhancement, and product delivery. - Proficiency in Python programming language. - Experience with Langchain. - Hands-on experience with LLM

We are seeking a highly skilled and motivated AI Architect to join our dynamic team. The ideal candidate is a process-oriented, self-learner, and passionate professional with over 8 years of experience in application development, product delivery, and client-relationship management. As an AI Architect, you will play a key role in designing, developing, and deploying innovative AI-based solutions that leverage the power of machine learning, Gen AI and Deep learning techniques. Key Responsibilities : - Design, develop, and deploy generative AI-based solutions using cutting-edge technologies and methodologies. - Collaborate with cross-functional teams to gather requirements, design architecture, and plan development and deployment strategies. - Utilize statistical analysis and data mining techniques to extract meaningful insights from data and build machine learning models. - Develop and enhance chatbot solutions by integrating language models and rule-based functions to provide accurate and reliable recommendations. - Implement moderation layers and fine-tune models to improve chatbot performance and user experience. - The design process flows for on-demand availability of AI models without the need for extra coding. - Fine-tune models using advanced techniques and enterprise data to optimize performance. - Design architecture for information retrieval and implement caching mechanisms for faster retrievals. - Perform data gathering, preprocessing, and model building tasks for various AI projects, including Q&A systems and healthcare applications. - Utilize NLP techniques and libraries such as NLTK for text processing, cleaning, and information extraction. Required Skills : - Bachelor's or Master's degree in Computer Science, Engineering, or related field. - 2+ years of experience in application development, enhancement, and product delivery. - Proficiency in Python programming language. - Experience with Langchain. - Hands-on experience with LLM

We are seeking a highly skilled and motivated AI Architect to join our dynamic team. The ideal candidate is a process-oriented, self-learner, and passionate professional with over 8 years of experience in application development, product delivery, and client-relationship management. As an AI Architect, you will play a key role in designing, developing, and deploying innovative AI-based solutions that leverage the power of machine learning, Gen AI and Deep learning techniques. Key Responsibilities : - Design, develop, and deploy generative AI-based solutions using cutting-edge technologies and methodologies. - Collaborate with cross-functional teams to gather requirements, design architecture, and plan development and deployment strategies. - Utilize statistical analysis and data mining techniques to extract meaningful insights from data and build machine learning models. - Develop and enhance chatbot solutions by integrating language models and rule-based functions to provide accurate and reliable recommendations. - Implement moderation layers and fine-tune models to improve chatbot performance and user experience. - The design process flows for on-demand availability of AI models without the need for extra coding. - Fine-tune models using advanced techniques and enterprise data to optimize performance. - Design architecture for information retrieval and implement caching mechanisms for faster retrievals. - Perform data gathering, preprocessing, and model building tasks for various AI projects, including Q&A systems and healthcare applications. - Utilize NLP techniques and libraries such as NLTK for text processing, cleaning, and information extraction. Required Skills : - Bachelor's or Master's degree in Computer Science, Engineering, or related field. - 2+ years of experience in application development, enhancement, and product delivery. - Proficiency in Python programming language. - Experience with Langchain. - Hands-on experience with LLM

Key Responsibilities: Supervise and coordinate daily Compound Mixing , Testing & Lab operations. Ensure Incoming raw materials Testing , in-process Inspections, and finished goods Testing to meet specified quality standards and customer requirements. Perform and review testing of rubber compounds and products as per ASTM/ISO standards. Analyze test data and report trends to identify process improvement opportunities. Work closely with production and R&D teams for new compound / product development , trials and product validations. Handle internal and external audits, including ISO/TS 16949, ISO 9001, and customer audits. Manage calibration and maintenance schedules for lab equipment and instruments. Train and guide lab personnel on testing procedures and safety protocols. Ensure compliance with regulatory and environmental standards. Prepare and maintain documentation as per RDSO (Research Designs and Standards Organisation) requirements, IATF & ISO 9001 requirements. Support RDSO audits and approvals for relevant rubber products and components. Job Types: Full-time, Permanent Pay: ₹70,000.00 - ₹120,000.00 per month Benefits: Cell phone reimbursement Provident Fund Schedule: Day shift Supplemental Pay: Performance bonus Yearly bonus Application Question(s): Current Package? Expected Salary ? Notice Period? Are you ready to relocate at Baddi, Himachal Pradesh Work Location: In person

Job Summary : We are seeking a skilled Data Scientist with expertise in AI orchestration and embedded systems to support a sprint-based Agile implementation focused on integrating generative AI capabilities into enterprise platforms such as Slack, Looker, and Confluence. The ideal candidate will have hands-on experience with Gemini and a strong understanding of prompt engineering, vector databases, and orchestration infrastructure. Key Responsibilities : - Develop and deploy Slack-based AI assistants leveraging Gemini models. - Design and implement prompt templates tailored to enterprise data use cases (Looker and Confluence). - Establish and manage an embedding pipeline for Confluence documentation. - Build and maintain orchestration logic for prompt execution and data retrieval. - Set up API authentication and role-based access controls for integrated systems. - Connect and validate vector store operations (e.g., Pinecone, Weaviate, or Snowflake vector extension). - Contribute to documentation, internal walkthroughs, and user acceptance testing planning. - Participate in Agile ceremonies including daily standups and sprint demos. Required Qualifications : - Proven experience with Gemini and large language model deployment in production environments. - Proficiency in Python, orchestration tools, and prompt engineering techniques. - Familiarity with vector database technologies and embedding workflows. - Experience integrating APIs for data platforms such as Looker and Confluence. - Strong understanding of access control frameworks and enterprise-grade authentication. - Demonstrated success in Agile, sprint-based project environments. Preferred Qualifications : - Experience working with Slack app development and deployment. - Background in MLOps, LLMOps, or AI system orchestration at scale. - Excellent communication skills and ability to work in cross-functional teams.

Qualification : B. Com (2024 Passout) Work Mode : Hybrid (3 days Work from Office & 2 days Work from Home) Location : Salt Lake, Kolkata We are looking for Immediate Joiners Job Types: Full-time, Permanent Pay: ₹12,000.00 - ₹16,000.00 per month Benefits: Provident Fund Schedule: Day shift Work Location: In person