Design, develop, implement AI and Generative AI solutions to address business problems and achieveobjectives. Gather, clean, and prepare large datasets to ensure readiness for AI model training Train, fine-tune, evaluate, andoptimizeAI models for specific use cases, ensuring accuracy, performance, cost-effectiveness, and scalability. Seamlessly integrate AI models and autonomous agent solutions into cloud-based & on-prem products to drive smarter workflows and improved productivity. Develop reusable tools, libraries, and components that standardize and accelerate the development of AI solutions across the organization. Monitor andmaintaindeployed models, ensuring consistent performance and reliability in production environments Stay up to date with the latest AI/ML advancements, exploringnew technologies, algorithms, and methodologies to enhance product capabilities. Effectively communicate technical concepts, research findings, and AI solution strategies to both technical and non-technical stakeholders. Understand the IBM tool and model landscape and work closely with cross-functional teams toleveragethese tools, driving innovation and alignment. Lead and mentor team members to improve performance. Collaborate with operations, architects, and product teams to resolve issues and define product designs. Exercise best practices in agile development and software engineering.Code, unit test, debug and perform integration tests of software components Participatein software design reviews, code reviews and project planning. Write and review documentation and technical blog posts. Contribute to department attainment of organizationalobjectivesand high customer satisfaction Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise Minimum 6 years of hands-on experience developing AI-based applications using Python. 2+ years in Performance testing, Reliability testing 2+ years of experience using deep learning frameworks (TensorFlow,PyTorch, orKeras) Solid understanding of ML/AI conceptsEDA, preprocessing, algorithm selection, machine learning frameworks, model efficiency metrics, model monitoring. Familiarity with Natural Language Processing (NLP) techniques. Deep understanding of Large Language Models (LLM) Architectures, theircapabilitiesand limitations. Provenexpertisein integrating and working with LLMs to build robust AI solutions. Skilled in crafting effective prompts to guide LLMs to provide desired outputs. Hands-on experience with LLM frameworks such asLangchain,Langraph,CrewAIetc., Experience in LLM application development based on Retrieval-Augmented Generation (RAG) concept, familiarity with vector databases, and fine-tuning large language models (LLMs) to enhance performance and accuracy. Proficient in microservices development using Python (Django/Flask or similar technologies). Experience in Agile development methodologies Familiarity with platforms like Kubernetes and experience building on top of the native platforms Experience with cloud-based data platforms and services (e.g., IBM, AWS, Azure, Google Cloud). Experience designing, building, andmaintainingdata processing systems working in containerized environments (Docker, OpenShift, k8s) Excellent communication skills with the ability to effectively collaborate with technical and non-technical stakeholders Preferred technical and professional experience Experience in MLOPs frameworks (BentoML,Kubefloworsimilar technologies) and exposure to LLMOPs Experience in cost optimisation initiatives Experience with end-to-end chatbot development, including design, deployment, and ongoing optimization,leveragingNLPand integrating with backend systems and APIs. Understanding of security and ethical best practices for data and model development Contributions toopen sourceprojects

Interested in Amazon Alexa, Machine Learning and Artificial Intelligence? We re building the runtime services that power state of the art Amazon Alexa. Come join us! The Alexa AI Conversational Agent Solutions org in India is seeking an Engineering leader to help us pioneer new machine learning tools and processes through an iterative research and development cycle. You will drive a team of talented SDEs to build scalable, self-serve applications for use across the Alexa, Customer & Technology organization. You will influence overall strategy, contribute to big ideas, org plans for the 1 and 3 years, and drive roadmaps for quarters. You will manage a team of subject matter experts and engineers to define features, system architecture and best practices. You will inspire the team to execute our technical vision and create a world class product. You will own high visibility programs with broad visibility and global impact. You will interact with a cross-functional team of Science, Product, and Engineering leaders. You will play a key role in creating the next generation of AI powered Conversational Assistants. Creating reliable, scalable, and high performance products requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience building large-scale distributed systems. The ideal candidate will be a self-starter who can dive into a project with limited guidance and is able to design and implement inventive, simple solutions to complex problems. They will be passionate about new technologies, industry trends, early adopter of GenAI tools and have a track record of delivering valuable software features and products in a fast-paced, highly iterative environment. A commitment to team work, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. About the team The AI Domains teams vision is to build world-class AI-based services to improve conversational CX across endpoints, modalities, and locales. Our leading solutions empower Domains and Horizontal CX owners to rapidly scale and optimize their experiences. We are part of the Alexa AI org, the Sciences and platform org that builds and maintains products such as Alexa and Alexa+. We are pioneering Gen AI revolution rapidly, iterating to deliver high quality Gen AI enabled customer experience. Come join us to invent the future for our customers! 10+ years of engineering experience 5+ years of engineering team management experience 10+ years of planning, designing, developing and delivering consumer software experience Experience partnering with product or program management teams Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems Experience managing multiple concurrent programs, projects and development teams in an Agile environment Experience partnering with product and program management teams Experience designing and developing large scale, high-traffic applications Experience with leveraging internal and external industry tools/tech to increase developer efficiency

ModalityFull time, work from office Job Responsibilities: To develop LLM - driven products from the groundup, we are looking for enthusiastic members who would like to design cutting edge systems and implement AI solutions that scale globally Strong communication skills Problem solving abilities Strong programming background Understanding of Transformer architecture Required Qualifications: 3+ years of hands on experience in AI/ML with proven projects using Transformers (eg., BERT, GPT, T5, VITs, Small LLMs) Strong proficiency in Python and deep learning frameworks (PyTorch or TensorFlow) Ability to independently analyze open sources and code repositories Experience in fine-tuning Transformer models for NLP (e.g., text classification, summarization) or Computer Vision (e.g., image generation, recognition) Knowledge of GPU acceleration, optimization techniques, and model quantization Experience in deploying models using Flask, FastAPI, or cloud-based inference services Familiarity with data pre-processing, feature engineering, and training workflows

Responsibilities Design and build solutions for complex business workflows Understanding the user persona and deliver slick experience. Take end to end ownership of components and be responsible for the sub systems that you work on from design, code, testing, integration, deployment, enhancements etc. Write high quality code and taking responsibility of their task Solve performance bottlenecks Mentor junior engineers Communicate and collaborate with management, product, QA, UI/UX teams. Deliver with quality, on time in a fast-paced start-up environment: Bachelor/Master's in computer science or relevant fields 8 + years of relevant experience. Strong sense of ownership. Excellent Java and object-oriented development skills. Experience in building and scaling microserives Strong problem solving skills, technical troubleshooting and diagnosing Expected to be a role model for young engineers, have a strong sense of code quality and enforce code quality within the team. Strong knowledge in RDBMS and NoSql technologies Experience in developing backeds for enterprise systems like eCommerce / manufacturing / supply chain etc. Excellent understanding of Debugging performance and optimisation techniques. Experience in Java, Mongo, MySQl, AWS technologies, ELK stack, Spring boot, Kafka Experience in developing any large scale Experience in cloud technologies Demonstrated ability to deliver in a fast paced environment Good Communication SkillsAdd ons: Experience in Big Data Technologies, Data Warehousing AI/ML experience Experience in architecting large scale SaaS products/platforms like eCommerce, manufacturing, supply chain, etc.,

Skills & Qualifications Bachelor/masters in computer science or relevant fields. 3+ years of relevant experience. Strong sense of ownership. Experience in building and scaling microservices. Strong problem-solving skills, technical troubleshooting and diagnosing. Expected to be a role model for young engineers, have a strong sense of code quality and enforce code quality within the team. Excellent understanding of Debugging performance and optimization techniques. Experience in JavaScript, HTML & CSS, React js Experience in developing any large-scale Experience in cloud technologies. Demonstrated ability to deliver in a fast-paced environment. Good Communication Skills.

Responsibilities Job Responsibilities: Architect and Design scalable and efficient AI solutions, leveraging technologies such as LangChain, Agentic AI, RAG, Event driven architecture using Kafka etc. Collaborate with cross-functional teams to identify business needs and develop tailored solutions Provide technical leadership and guidance to junior team members Stay up-to-date with the latest advancements in AI, machine learning, and data science, and apply this knowledge to improve our solutions Communicate complex technical concepts to non-technical stakeholders and team members Troubleshoot and resolve technical issues, and provide support to ensure high system uptime and performance Develop and maintain technical documentation, and ensure that all solutions are well-documented and easily maintainable Technical and Professional Requirements: Preferred Qualifications: Experience with Agentic Frameworks such LangGraph, AutoGen, CrewAI Experience with cloud-based technologies, such as AWS or Azure Familiarity with containerization using Docker, and orchestration using Kubernetes Familiarity with agile development methodologies, such as Scrum or Kanban Experience with AI-related tools and frameworks, such as TensorFlow or PyTorch Knowledge of data engineering, data warehousing, and data governance Experience with agile development methodologies, such as Scrum or Kanban Certification in data science, machine learning, or a related field Experience with leadership and mentoring, with a proven track record of guiding junior team members and helping them grow in their careers Strong business acumen, with the ability to understand business needs and develop solutions that drive business growth and improvement. Preferred Skills: Technology->Artificial Intelligence->Artificial Intelligence - ALL Technology->Machine Learning->Generative AI Technology->Machine Learning->AI/ML Solution Architecture and Design->generative ai Technology->Machine Learning->Python Additional Responsibilities: Required Qualifications: B.E/B.Tech/M.E/M.Tech/MCA degree in Computer Science, Information Technology, or a related field At least 8 years of experience in software development, with at least 2 years of experience in Generative AI Proficiency in LangChain, Python, Generative AI, Agentic AI, Kafka, and Advanced Prompt Engineering Techniques Strong understanding of software architecture, design patterns, and principles Excellent problem-solving skills, with the ability to analyze complex technical problems and develop creative solutions Strong communication and teamwork skills, with the ability to collaborate with cross-functional teams and communicate technical concepts to non-technical stakeholders Tech Skill: LangChain, Python, Fast/Flask API, Gen AI, Agentic AI, Advanced Prompt Engineering, Machine Learning, SQL, Kafka Soft Skill: Communication, Team Work, Problem Solving Educational Requirements Bachelor of Engineering Service Line Information Systems Location of posting is subject to business requirements

Lesson Delivery: Ensure the lesson plan prepared is followed along with the mentioned resources and activities. Ensure all students are learning in a safe and productive environment. We should make use of effective pedagogical styles to suit different aptitudes, learning styles and interests of the students. Student Administration: Ensure discipline is maintained in accordance with the rules and disciplinary systems of the school Promote maximum student participation and assist students in improving study habits. We should keep a check on basic hygiene and pay attention to health matters seriously and diligently for each child. Classroom Functioning: Create an effective learning environment through functional and attractive displays, bulletin boards, and interest centers Ensure a positive and professional relationship with parents is maintained & provide feedback to parents. Secondary Responsibility: Administration / School Policies: Must compile, maintain, and ensure confidentiality of school records. Should adhere to all the policies in force/ introduced from time to time and actively implement the same. Should do any similar work not specified in this job description at the coordinator's request. Should conduct quarterly stock check of the teaching aids along with the coordinator.

Key Responsibilities: Design and implement machine learning models to solve real-world business problems. Work closely with stakeholders to gather requirements, define KPIs, and deliver data-driven recommendations. Analyze large datasets using SQL , Python (Pandas, NumPy, Scikit-learn, etc.) , and derive insights. Create data visualizations and dashboards using tools like Power BI, Tableau , or Matplotlib/Seaborn . Perform A/B testing, statistical modeling, and predictive analytics. Present findings clearly to technical and non-technical stakeholders through visual storytelling. Required Skills: Strong programming experience in Python for data manipulation and modeling. Expertise in SQL for querying relational databases. Proficiency in machine learning techniques (classification, regression, clustering, etc.). Experience with data visualization tools like Tableau, Power BI, or Plotly. Solid understanding of statistics and data interpretation. Excellent communication and stakeholder management skills.

About the Team: As the world's leading supplier in the automotive and industrial aftermarket, ZF Aftermarket ensures that ZF's unmatched OEM expertise, knowledge and innovation is consistently carried forward. We are an innovative, forward-thinking Partner, offering an exceptional product range built on the foundation of the trusted brands. What you can look forward as a Manufacturing Expert - AME Specialist : Adaptation to Industry 4.0 Implementation of Industry 4.0 concepts, including the Internet of Things (IoT), artificial intelligence (AI), and automation, with the aim of achieving a high level of automation and intelligent production. This includes the development, programming, and integration of Siemens PLC systems into existing and new manufacturing applications to ensure seamless communication and control within smart factories. Implementation of Digitalization Integrating digital technologies and intelligent systems into manufacturing processes to enhance monitoring, control, and optimization of production. This includes developing and maintaining PLC programs that interact with Manufacturing Execution Systems (MES) and ensuring data exchange between PLCs and higher-level control systems for real-time production monitoring and optimization. Standardization Supporting the creation of standards for the preparation of RFQs, RFIs, and technical specifications. This involves defining PLC programming standards, communication protocols, and system integration guidelines to ensure consistency, efficiency, and interoperability between automated systems and manufacturing equipment Your profile as Manufacturing Expert - AME Specialist Minimum 5-7 years of experience in PLC programming, industrial automation, and system integration is essential. (5+ years) Ability to lead and adapt to changes in technology, regulations, and the business environment Organizational & self-organization skills Excellent Communication Skills Willingness to work in heterogenous, worldwide teams Willingness to travel Innovation and Technology Leadership: ZF is at the forefront of technological advancements, offering a dynamic and innovative work environment that encourages creativity and growth. Diverse and Inclusive Culture: ZF fosters a diverse and inclusive workplace where all employees are valued and respected, promoting a culture of collaboration and mutual support. Career Development: ZF is committed to the professional growth of its employees, offering extensive training programs, career development opportunities, and a clear path for advancement. Global Presence: As a part of a global leader in driveline and chassis technology, ZF provides opportunities to work on international projects and collaborate with teams worldwide. Sustainability Focus: ZF is dedicated to sustainability and environmental responsibility, actively working towards creating eco-friendly solutions and reducing its carbon footprint. Employee Well-being: ZF prioritizes the well-being of its employees, providing comprehensive health and wellness programs, flexible work arrangements, and a supportive work-life balance. Be part of our ZF team as Manufacturing Expert ( PLC - Robotics Programming ) - AME Specialist and apply now!

About Info Edge InfoEdge’s mission is to create world-class platforms that transform lives by continuously innovating. Our products and services are built keeping our customers in mind. We always delight our customers by delivering superior value through enhanced offerings on the internet and other platforms. Through our continuous investment across various businesses, especially in cutting-edge technology, machine learning and artificial intelligence (AI), we have built a robust system that constantly increases our predictive powers on customer behaviour, and optimizes and improves our systems. Our various teams tirelessly work together to solve problems, innovate, and create something to empower our customers. At Info Edge, people are our core competitive advantage and we will continue doing all that is needed to attract and retain the best available talent. About BU: Naukri.com Naukri is India’s market leader in the recruitment business. It provides all the job seekers with advisory services and caters to their different needs and offer value-added features such as resume writing, highlighting and many more. With over 67 Million resumes searches daily, Naukri.com has 5 Million job listings, 59 Thousand+ unique clients and 4.9 Million recruiters connect with the job seekers via emails. Required Educational Qualification: Any Graduate/Post Graduate Desired Experience: 0-4 years Job Objective: The objective of this role is to sell customized services to job seekers and help them expedite their job search. Job Description: Connect and engage with pre generated leads via outbound calls (approx. 80-100 calls) Reach out to new customers and explain to them the benefits of Naukri FastForward services Initiate repeat sales by follow up phone calls from existing customers Develop in-depth knowledge of products and services to make suitable recommendations based on customer needs Continually meeting or exceeding daily and monthly targets with respect to call volume and sales Achieve sales targets by new customer acquisition and ensure growth / revenue from existing customers Adhere to quality standards and processes within defined metrics Required Skills: Good communication skills Active listening skills Strong convincing skills Client handling skills Ability to handle stress and rejection in soliciting clients Flexibility with rotation offs Desired Skills: Prior experience in sales/business development/voice process will be preferred Solution oriented with effective problem solving skills Knowledge of various online portals will be an added advantage Why Join Us: This is a unique opportunity to work on innovative and disruptive technology driven business solutions that are shaping the future of the industry. We are looking for candidates who are willing to work passionately in a fast-paced environment and are ready to enhance their skills by learning something new. Being a part of InfoEdge, will allow you to unleash your potential and carve your own career. To learn more about Info Edge visit http://www.infoedge.in

"Spark young minds with AI" Conduct AI sessions at schools Simplify and teach AI concepts Use pre-designed kits and materials Create an exciting learning environment Inspire curiosity and innovation among young learners

Job Title: AVP Data Analyst Location: Noida Package up to 28 LPA Key Responsibilities: Investigate and resolve data quality, lineage, and control issues. Design and build scalable data pipelines to automate data flow and processing. Conduct data cleansing, transformation, and validation activities. Apply machine learning and AI to solve complex operational problems. Oversee data governance policies and ensure adherence to regulatory frameworks like BCBS 239 . Collaborate with stakeholders across Risk, Compliance, Technology, and Business to deliver actionable insights. Document and report on data issues and improvements, supporting audit and control frameworks. Required Skills & Qualifications: Proven experience in Data Management, Data Governance , and Data Quality within a financial services environment. Strong understanding of risk and control frameworks , including enterprise risk and operational risk. Proficiency in tools and technologies such as: SQL , Python , Tableau , Tableau Prep , Power Apps , Alteryx Familiarity with structured and unstructured data analytics Excellent stakeholder management, communication, and presentation skills. Strong analytical mindset with the ability to work independently and lead data initiatives. Working knowledge of financial crime and fraud data domains . For more details Call Kanika on 9953939776 or email resume to Kanika@manningconsulting.in

Responsibilities * Design, develop, and deploy AI models and systems using Python, Gen AI, Agentic AI, and other relevant technologies * Collaborate with cross-functional teams to identify business problems and develop AI-powered solutions * Work with large datasets to train and test AI models, and optimize their performance * Apply Prompt Engineering techniques to improve the overall performance of the AI systems * Troubleshoot and debug AI systems to ensure optimal performance and reliability * Provide technical guidance and expertise to ensure high-quality deliverables * Collaborate with the cross functional teams * Participate in code reviews and contribute to the improvement of the overall code quality Technical and Professional Requirements: Preferred Qualifications: * Certification in AI or a related field, such as Certified Data Scientist or Certified AI Engineer* Experience with other AI frameworks and technologies, such as TensorFlow, PyTorch, or Keras * Familiarity with containerization using Docker and Kubernetes * Experience with agile development methodologies and version control systems, such as Git * Strong understanding of software design patterns, principles, and best practices * Experience with DevOps practices, such as continuous integration and continuous deployment * Knowledge of cloud computing platforms, such as Azure / GCP / AWS Preferred Skills: Technology->Analytics - Solutions->SQL Server - Analytics Technology->Machine Learning->Generative AI->retrieval augmented generation (rag) Technology->Machine Learning->Python Technology->Programing language C->go lang Additional Responsibilities: Required Qualifications:* Bachelor's or Master's degree in Computer Science, Engineering, or a related field (B.E/B.Tech/M.E/M.Tech/MCA) * At least 3-5 years of experience in software development, with at least 2 years of hands on experience in Gen AI development * Strong proficiency in Python programming language * Hands on experience with LangChain, Gen AI, Agentic AI, and Prompt Engineering * Excellent problem-solving skills, with the ability to analyze complex problems and develop creative solutions * Strong communication and teamwork skills, with the ability to collaborate with cross-functional teams Keywords: LangChain, Python, Fast/Flask API, Gen AI, Agentic AI, Prompt Engineering, Machine Learning, SQL, Kafka Educational Requirements Bachelor of Engineering Service Line Information Systems * Location of posting is subject to business requirements

About the Role: Were looking for an innovative and execution-focused Machine Learning Engineer with deep expertise in AI/ML model development, deployment, and scaling. This role goes beyond research — we’re looking for someone eager to take models from notebooks to real-world systems and own the full ML lifecycle. Key Responsibilities: Design, develop, and deploy machine learning models for large-scale applications. Apply GenAI, NLP, and deep learning techniques to real business problems. Own the entire model pipeline — from ideation and training to testing and deployment. Work closely with cross-functional teams to drive AI-powered product features. Ensure scalability, reliability, and robustness in model performance. Core Requirements: Strong foundation in AI/ML research and model deployment. Hands-on experience with GenAI, NLP, deep learning , and large-scale ML systems. Proficiency in Python (Pandas, NumPy, Matplotlib, Seaborn, etc.). Experience with ML frameworks: TensorFlow / PyTorch . Working knowledge of ML algorithms – Regression, Classification, Clustering, Random Forest, Boosting, etc. Solid grasp of Probability, Statistics, and Mathematics . Strong command of SQL for data extraction. Understanding of production ML architecture and deployment pipelines . Bonus Skills: Experience deploying models to production environments . Familiarity with Linux commands and scripting. Exposure to cloud platforms (e.g., GCP, AWS, Azure). Understanding of A/B Testing frameworks and experimentation.

Role & responsibilities Design ML design and Ops stack considering the various trade-offs. Statistical Analysis and fundamentals MLOPS frameworks design and implementation Model Evaluation best practices -Train and retrain systems when necessary. Extend existing ML libraries and frameworks -Keep abreast of developments in the field. Act as a SME and tech lead / veteran for any data engineering question and manage data scientists and influence DS development across the company. Promote services, contribute to the identification of innovative initiatives within the Group, share information on new technologies in dedicated internal communities. Ensure compliance with policies related to Data Management and Data Protection Preferred candidate profile Strong experience (2+ years) with Building statistical models, applying machine learning techniques Experience (2+ years) on Big Data technologies such as Hadoop, Spark, Airflow/Databricks Proven experience (2+ years) in solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks. Proven experience (2+ years) on innovation implementation from exploration to production: these may include containerization (i.e. Docker/Kubernetes) , Big data (Hadoop, Spark) and MLOps platforms. Deep understanding of E2E software development in a team, and a track record of shipping software on time Ensure high-quality data and understand how data, which is generated out experimental design can produce actionable, trustworthy conclusions. Proficiency with SQL and NoSQL databases, data warehousing concepts, and cloud-based analytics database (e.g. Snowflake , Databricks or Redshift) administration

Role & responsibilities Job Description Job Overview We are seeking an experienced AI/ML Consultant with 8-12 years of experience to lead the design, development, and deployment of AI and Machine Learning solutions for enterprise-level projects. The ideal candidate will have strong expertise in deep learning, machine learning algorithms, cloud AI services, and MLOps, with a focus on solving real-world business challenges using AI. Key Responsibilities AI/ML Strategy & Consulting • Work closely with stakeholders to understand business challenges and identify opportunities where AI/ML can drive value. • Develop AI/ML roadmaps, proof-of-concept models, and scalable AI strategies. • Advise on AI governance, model explainability, and ethical AI practices. Model Development & Deployment • Design, build, and optimize machine learning models for classification, regression, NLP, computer vision, and recommendation systems. • Implement and fine-tune deep learning architectures (CNNs, RNNs, Transformers). • Work with large-scale datasets for feature engineering, data preprocessing, and model training. • Deploy models using MLOps best practices, ensuring efficient monitoring, retraining, and lifecycle management. Large Language Model (LLM) Development & AI Agents • Fine-tune, train, and deploy LLMs (GPT-4, LLaMA, Mistral, Falcon, Claude, Gemini) for chatbots, knowledge management, and intelligent automation. • Implement Retrieval-Augmented Generation (RAG) to improve response accuracy and integrate knowledge bases. • Develop AI Agents that can handle complex workflows, automate customer interactions, and execute multi-step reasoning. • Experiment with multi-modal AI (text, image, and video) for industry-specific use cases. Technical Leadership & Innovation • Lead AI/ML teams in building scalable solutions using Python, TensorFlow, PyTorch, and cloud platforms (AWS/GCP/Azure). • Stay up to date with AI research and recommend cutting-edge solutions for business applications. • Implement best practices in model interpretability, fairness, and bias mitigation. Collaboration & Knowledge Sharing • Work with cross-functional teams, including data engineers, software developers, and business analysts, to integrate AI models into production systems. • Mentor junior AI engineers and provide technical guidance on ML frameworks and architectures. • Conduct workshops and knowledge-sharing sessions on AI trends and best practices. Mandatory Qualifications Preferred Qualifications: • Masters or Ph.D. in Computer Science, AI/ML, Data Science, or related fields. • Experience with generative AI models/LLMs • AI certifications from AWS, Google, or Microsoft. Mandatory Skills Required Qualifications & Skills Technical Skills: • Programming: Python, R, SQL, Java (optional). • ML Frameworks: TensorFlow, PyTorch, Scikit-learn, XGBoost. • Data Handling: Pandas, NumPy, Spark, Snowflake. • MLOps & Deployment: Docker, Kubernetes, MLflow, TensorFlow Serving, FastAPI. • Cloud Services: AWS (SageMaker, Lambda, S3), GCP (Vertex AI), Azure (ML Studio). • LLMs & Generative AI: GPT-4, LLaMA, Claude, Gemini, Mistral, Falcon. • NLP & Transformers: Hugging Face, LangChain, OpenAI API, Sentence Transformers. • Vector Search & RAG: FAISS, ChromaDB, Pinecone, Weaviate Soft Skills: • Strong analytical and problem-solving abilities. • Ability to communicate complex AI concepts to non-technical stakeholders. • Experience working in agile environments. • Ability to lead AI initiatives and mentor teams. Desirable Skills Required Qualifications & Skills Technical Skills: • Programming: Python, R, SQL, Java (optional). • ML Frameworks: TensorFlow, PyTorch, Scikit-learn, XGBoost. • Data Handling: Pandas, NumPy, Spark, Snowflake. • MLOps & Deployment: Docker, Kubernetes, MLflow, TensorFlow Serving, FastAPI. • Cloud Services: AWS (SageMaker, Lambda, S3), GCP (Vertex AI), Azure (ML Studio). • LLMs & Generative AI: GPT-4, LLaMA, Claude, Gemini, Mistral, Falcon. • NLP & Transformers: Hugging Face, LangChain, OpenAI API, Sentence Transformers. • Vector Search & RAG: FAISS, ChromaDB, Pinecone, Weaviate Soft Skills: • Strong analytical and problem-solving abilities. • Ability to communicate complex AI concepts to non-technical stakeholders. • Experience working in agile environments. • Ability to lead AI initiatives and mentor teams. Preferred candidate profile

We are seeking a highly qualified Assistant / Associate Professor in Computer Science & Engineering (CSE) to join our esteemed faculty. The candidate will be responsible for teaching undergraduate and postgraduate courses, conducting research, mentoring students, and contributing to academic and institutional development. Key Responsibilities: Deliver lectures, labs, and seminars in core and specialized areas of CSE . Guide research scholars and students in projects, dissertations, and publications. Develop and update curriculum to align with industry trends and emerging technologies. Publish research in reputed journals and participate in academic conferences. Secure research grants and collaborate on interdisciplinary projects. Engage in student mentoring, counseling, and extracurricular activities. Participate in faculty development programs and institutional initiatives. Qualifications & Experience: Ph.D. in Computer Science & Engineering or a related field from a recognized university. Minimum 8-10 years of teaching/research/industry experience (as per AICTE/UGC norms). Strong research background with publications in SCI/Scopus indexed journals. Expertise in areas like AI, Machine Learning, Cybersecurity, IoT, Data Science, Cloud Computing, etc. Inviting applications at umang.hr@cgc.ac.in or can call at 8360367050

Role Overview: We are seeking a dynamic Senior Engineering Manager who will play a pivotal role in leading and growing our engineering teams. This individual will oversee the delivery of high-impact systems and products, from concept to completion, while managing a team of engineers and collaborating with cross-functional teams. The ideal candidate will bring a deep understanding of system design, strong technical expertise in modern technologies, and the ability to inspire, mentor, and lead a diverse engineering team. Experience with Node.js, React.js, TypeScript, Cloud platforms, and AI/ML technologies is highly desirable. Key Responsibilities: Team Leadership and People Management: Lead, mentor, and inspire a team of engineers, fostering a culture of innovation, collaboration, and continuous learning. Manage the career growth, performance, and development of team members. Foster a high-performance, agile, and inclusive environment. Provide guidance on technical and operational challenges to engineers, helping them grow both technically and professionally. Delivery Management: Oversee the end-to-end delivery of engineering projects, ensuring timely and high-quality releases. Collaborate with product, design, and other engineering teams to align on project goals, timelines, and requirements. Ensure that projects are executed in line with agile methodologies, balancing speed with technical excellence. Drive continuous improvement in delivery processes, monitoring key metrics, and mitigating risks. System Design and Architecture: Lead the design and architecture of scalable, reliable, and high-performance systems. Collaborate with other senior technical leaders to establish best practices and ensure that system design meets business needs and technical requirements. Ensure that systems are designed with a focus on maintainability, scalability, and security. Technical Expertise: Provide hands-on technical leadership in areas such as Node.js, React.js, TypeScript, Cloud technologies (AWS, Azure, GCP), and AI/ML. Ensure that the engineering team is aligned with the latest technology trends, tools, and practices. Assist in solving complex technical challenges and drive technical decision-making. Collaboration and Stakeholder Management: Collaborate closely with product managers, designers, and other stakeholders to ensure that engineering efforts align with the companys strategic objectives. Communicate engineering progress, challenges, and risks to senior leadership and stakeholders. Qualifications: Experience: 7+ years of experience in software engineering, with at least 3+ years in an engineering management or leadership role. Proven experience in delivering complex systems and projects in fast-paced, agile environments. Strong experience with system design and architecture for scalable, cloud-based solutions. Technical Skills: Proficiency in Node.js, React.js, TypeScript, and modern JavaScript frameworks. Experience with cloud platforms (AWS, Azure, GCP) and deploying scalable applications. Familiarity with AI/ML technologies and how they integrate with cloud services. Strong understanding of software engineering best practices, including code reviews, testing, CI/CD pipelines, and version control. People Skills: Experience managing and mentoring engineering teams. Strong interpersonal and communication skills with the ability to engage with technical and non-technical stakeholders. Ability to lead by example and motivate teams toward achieving engineering excellence.

Dear Candidates Are you looking for opportunities ? If yes, read below to know more about an opportunity in Redserv (Redington Group), one of the leading Supply Chain Management organizations! Role hiring for: Artificial Intelligence Work Location : Guindy Experience : 2-4 Years Hands on experience in Python and AI/ML is must Mode : Work from office Notice : Immediate - 30 days Roles & Responsibilities: Develop and implement machine learning algorithms and models using Python. Design and develop Python-based applications. Build, maintain, and optimize scalable and efficient AI/ML systems that meet performance and accuracy standards. Collaborate with data scientists and domain experts to understand business needs and deliver AI/ML solutions addressing real-world challenges. Perform data preprocessing, feature engineering, and data transformation to prepare datasets for model training. Utilize deep learning frameworks like TensorFlow for model development and deployment. Stay updated with the latest AI/ML advancements and incorporate them into company projects. Fine-tune and optimize AI/ML models for enhanced performance and efficiency. Work closely with cross-functional teams to integrate AI/ML solutions into existing applications and systems. Conduct code reviews, ensure high code quality, and adhere to best coding practices. Debug and resolve issues in AI/ML systems promptly. Use DevOps practices to deploy and monitor AI/ML solutions in production environments. Location of the Interview No.5, RR Towers, 6th Floor, Plot No 33A, Thiru Vi Ka Industrial Estate, Guindy Chennai, Tamil Nadu 600032 (Next to Olympia Platina building) Date & Time: 10th June 2025 | 11.00 AM - 1 PM Documents to Carry for the Interview - Current updated Resume - Please carry your last 3 months pay slips Regards Team HR

USV, a top-15 pharmaceutical company in India, excels in the diabetes and cardio sectors. We have a presence in over 65 countries with our dynamic team of over 7,000 across generations. Our commitment to brand building is evident in our popular products like Glycomet GP, Ecosprin AV, Jalra, Tazloc, Glynase, MVI and more. Join USV and be part of our journey as we continue to innovate, transform lives, and shape the future of healthcare. Job Title: Business Intelligence Manager Designation: Business Intelligence Manager (Individual Contributor role) Department/Function: Sales & Marketing Reporting To: VP - Sales & Marketing Direct Reportees: Nil Location: HO @ Govandi, Mumbai Working - 5 Days with alternate Saturdays i.e; 1st, 3rd & 5th from Office Job Summary : The Business Intelligence Manager will be instrumental in driving business growth and leading strategic improvement initiatives within the pharmaceutical organization. This role entails close collaboration with cross-functional teams to identify and analyze business needs, uncover opportunities, and develop data-driven solutions. The position focuses on leveraging advanced analytics and actionable insights to enhance decision-making, optimize processes, and achieve impactful business outcomes. Key Responsibilities Business Needs Assessment: Collaborate with stakeholders to thoroughly understand and assess business needs, translating them into clear, actionable requirements for innovative solutions. Advanced Data Analysis: Analyze large and complex datasets using advanced tools to uncover trends, generate actionable insights, and drive informed business decisions. Solution Design and Development: Create compelling business cases and proposals for solutions, including process enhancements, technology integrations, and organizational optimizations to support business growth. Stakeholder Collaboration: Build and maintain strong communication channels with stakeholders, including senior leadership, ensuring alignment, transparency, and buy-in throughout the solution development process. End-to-End Project Management: Lead projects from conception to completion, ensuring timely delivery, adherence to budgets, and alignment with strategic goals. Continuous Process Optimization: Identify and implement opportunities for streamlining processes to improve efficiency, effectiveness, and overall operational performance. Regulatory Adherence: Ensure all proposed and implemented solutions comply with industry standards and regulatory requirements, such as FDA guidelines, safeguarding organizational integrity and compliance. Requirements 1. Education: Bachelor's degree in Mathematics, Engineering, Business Administration, or a related field. MBA or an advanced degree in Business Analytics, Data Science, or related fields is preferred. Additional certifications in analytics tools or methodologies (e.g., Power BI, SQL, or Python) are a plus. 2. Experience: 3–5 years of experience in the pharmaceutical industry, preferably in a business intelligence, data analytics, or related role. Proven track record in delivering actionable insights and driving data-driven decision-making in sales and marketing contexts. 3. Skills: Analytical Expertise: Strong proficiency in handling and analyzing large datasets to uncover trends and opportunities. Technical Proficiency: Skilled in tools such as Power BI, Tableau, google workspace Excel, SQL, Python, and data visualization frameworks. AI/ML Knowledge: Familiarity with advanced analytics, predictive modeling, and machine learning algorithms is an advantage. Pharmaceutical Knowledge: Comprehensive understanding of industry trends, regulations (e.g., FDA), and sales force effectiveness metrics. Problem-Solving Ability: Strong critical thinking skills with a solution-oriented approach to complex business challenges. Communication Skills: Excellent ability to communicate insights effectively to diverse audiences, including senior leadership, through presentations and dashboards. Project Management: Demonstrated capability to manage multiple priorities in a fast-paced environment, delivering on time and within budget. Stakeholder Collaboration: Ability to work cross-functionally and foster alignment among teams to achieve common objectives.

Overall 18+ years of experience with minimum 5+ years in Pre-sales, technology evaluation, technical design, and architecture. Strong experience in technical capability presentation, pre-sales, proposal creation. Demonstrate a comprehensive understanding of various technologies, including legacy systems and cutting-edge solutions. Experience in consulting role, presenting technical information, strategic planning, customer interaction. Proven experience as Software and Solution Architect with Architectural patterns for High Availability, Performance, Scale Out architecture, Disaster Recovery, Security Architecture, Knowledge of cloud-based architectures deployment. Deep understanding and hands on experience in Open Source and/or Microsoft technologies, up to date on latest development in technical area Good working experience with API driven architecture, microservices, orchestration, DevOps (CI/CD), Messaging, and RDBMS/NoSQL/SearchEngine Deep understanding of Cloud native services - AWS/GCP/Azure implementation Thought leadership and special focus on scalable, reusable, robust, testable, efficient, and easily maintainable systems/solutions. Knowledge of Data Platform Analytics Knowledge of ZeroCode/LowCode Automation Platforms Understanding of AI/ML, Deep Learning, NLP, Neural Network, Computer Vision. Responsibilities Manage industry agnostic initiatives with special attention in Healthcare / Supply Chain Management, ensuring compliance with industry standards and best practices. Implement strategic improvements to enhance efficiency, reliability, and cost-effectiveness in supply chain operations. Provide strategic guidance on technology adoption, integration, and optimization across the organization. Orchestrate and manage the incident and problem management processes, ensuring timely resolution and minimal impact on operations. Develop and implement policies and procedures at ODC for effective incident response and problem resolution. Conduct in-depth technical reviews of legacy and modern tech stacks, evaluating their standards, performance, and compatibility with organizational goals. Recommend upgrades, migrations, and adoption of new technologies to drive innovation and efficiency. Utilize and promote the use of Generative AI tools in the Software Development Life Cycle (SDLC) to enhance development processes and outcomes. Stay with latest developments, applying relevant tools to improve software quality and productivity. Advocating for the adoption and integration of advanced technologies within the organization. Lead workshops, seminars, and training sessions to disseminate knowledge and foster a culture of continuous learning and innovation. Mentoring juniors.

Overall 15+ years of experience with minimum 5+ years in Pre-sales, technology evaluation, technical design, and architecture. Strong experience in technical capability presentation, pre-sales, proposal creation. Demonstrate a comprehensive understanding of various technologies, including legacy systems and cutting-edge solutions. Experience in consulting role, presenting technical information, strategic planning, customer interaction. Proven experience as Software and Solution Architect with Architectural patterns for High Availability, Performance, Scale Out architecture, Disaster Recovery, Security Architecture, Knowledge of cloud-based architectures deployment. Deep understanding and hands on experience in Open Source and/or Microsoft technologies, up to date on latest development in technical area Good working experience with API driven architecture, microservices, orchestration, DevOps (CI/CD), Messaging, and RDBMS/NoSQL/SearchEngine Deep understanding of Cloud native services - AWS/GCP/Azure implementation Thought leadership and special focus on scalable, reusable, robust, testable, efficient, and easily maintainable systems/solutions. Knowledge of Data Platform Analytics Knowledge of Zero Code/Low Code Automation Platforms Understanding of AI/ML, Deep Learning, NLP, Neural Network, Computer Vision.

Design and develop Generative AI models for specific business applications. Fine-tune and optimize large language models for performance and accuracy. Build custom pipelines to integrate generative AI into business workflows. Research and implement state-of-the-art techniques in Generative AI. Ensure ethical AI practices and compliance with relevant guidelines. Key Skills: Strong understanding of NLP and Generative AI models like GPT, BERT, or Stable Diffusion. Proficiency in Python and experience with AI frameworks like Hugging Face or OpenAI APIs. Familiarity with prompt engineering and fine-tuning techniques. Excellent collaboration and documentation skills.

Build, deploy, and maintain machine learning models in production. Automate model training, evaluation, and monitoring pipelines. Collaborate with data engineers to ensure the availability of clean, high-quality data. Optimize model performance and computational efficiency. Document ML workflows and processes for scalability and reproducibility. Key Skills: Proficiency in Python, Scala, or Java. Experience with ML tools like TensorFlow, PyTorch, and MLflow. Familiarity with MLOps practices and tools like Docker, Kubernetes, and CI/CD pipelines. Strong problem-solving and analytical skills Machine Learning,Python,Scala,Java

Happiest Minds Technologies Pvt.Ltd is looking for Databricks Professional to join our dynamic team and embark on a rewarding career journey Assessing and analyzing client requirements related to data processing, analytics, and machine learning. Designing and developing data pipelines, workflows, and applications using the Data Bricks platform. Integrating and connecting Data Bricks with other data sources, databases, and tools. Developing and implementing machine learning models using libraries such as Scikit-learn, Tensorflow, and PyTorch. Databricks, Spark, Python, Core ML, Pipeline creation,Airflow, Snowflake