889 Aiml Jobs - Page 11

Key Responsibilities: Technology Leadership & Strategy Define and execute the technical vision, ensuring alignment with business objectives. Oversee architecture decisions, technology stack, and software development best practices. Ensure security, scalability, and compliance of all technology solutions. Guide technical teams in best practices for .NET, MEAN, MERN, and cloud-based development. Product & Engineering Management Lead the engineering and product teams, setting priorities and ensuring timely delivery of high-quality products. Manage the full software development lifecycle (SDLC) from ideation to deployment. Collaborate with stakeholders to translate business needs into technical solutions. Manage the architecture and development of microservices-based solutions in .NET, MEAN, and MERN stacks. Establish and enforce engineering best practices, CI/CD, DevOps, and agile methodologies. Cloud & DevOps Strategy (Azure & CI/CD) Oversee Azure cloud infrastructure, ensuring high availability and cost optimization Implement and manage CI/CD pipelines for automated builds, testing, and deployments. Establish DevOps best practices, including containerization (Docker, Kubernetes) and infrastructure as code (Terraform, ARM templates). Ensure compliance with security best practices and regulatory requirements. Data Engineering & Analytics Lead the architecture and implementation of data pipelines, ETL processes, and big data solutions. Ensure proper data governance, security, and compliance. Implement AI/ML and analytics-driven solutions to enhance product offerings. Optimize data warehousing strategies using Azure Data Services, SQL, and NoSQL databases. Team Development & Leadership Recruit, mentor, and develop a high-performing technology team. Foster a culture of innovation, accountability, and continuous improvement. Ensure strong collaboration between engineering, product, UX/UI, and other business units. Scalability & Infrastructure Optimize system architecture for performance, scalability, and resilience. Ensure effective infrastructure management, including cloud services (AWS/Azure/GCP). Drive automation and efficiency in software deployment and monitoring. Stakeholder Communication & Collaboration Act as a bridge between business and technology, ensuring alignment of goals. Present technical strategies and updates to senior leadership and key stakeholders. Work closely with sales, customer success, and marketing teams to support go-to-market strategies. Innovation & Emerging Technologies Keep up with industry trends, emerging technologies, and regulatory requirements. Evaluate and implement new technologies to enhance product capabilities and efficiency. Required Qualifications: Experience: 10+ years in software development, with 5+ years in a leadership role. Technical Expertise: Strong experience in enterprise SaaS and cloud-native application development. Leadership: Proven experience in managing engineering teams and driving product innovation. Product Mindset: Experience in product lifecycle management, from ideation to execution. Industry Knowledge: Familiarity with healthcare, pharma, or compliance-driven industries is a plus. Education: Bachelors or Masters degree in Computer Science, Engineering, or a related field. Location: Ahmedabad,

Solution Architect Senior Solution Architect Ahmedabad 13-20 years Responsibilities Suggest Solutions to existing System to improve business processes, User Experience, or Improve ROI Designing, modifying, and testing technical architecture Continually research the current and emerging technologies and propose changes where needed. Suggest innovative solutions to technical problems. Assess the business impact that certain technical choices have. Provide updates to stakeholders on product development processes, costs, and budgets. Meet with clients and suggest improvements to existing Applications and Architectures. Requirements and skills Proven work experience as a Solution Architect or similar role Minimum 15 years of experience in Software IT field Knowledge of breadth of various technologies and tools. Familiarity with upcoming technologies and tools. In-depth understanding of various coding languages Sound knowledge of various operating systems and databases Efficient communication skills Nice to have skills & knowledge in one or more areas: C#, .NET Core, SQL Server, NoSQL databases, Cloud, DevOps, MuleSoft, Talend, Hyper Automation, Data Engineering, AI/ML, Angular, React, Mobile Development. Seniority Level: Experienced Seniority Level: Full Time Your Name(Required) Email Address(Required) Subject(Required) Message,

As a skilled AI expert, you will be responsible for partnering with Product Managers, Engineers, and other key stakeholders to deeply understand business requirements and translate them into actionable technical roadmaps. You will identify and prioritize AI use cases aligned with organizational goals, develop a scalable and sustainable implementation roadmap, and conduct ROI analysis for on-prem LLM deployments. Your role will involve creating sophisticated software designs driven by AI-powered experiences, focusing on performance, scalability, security, reliability, and ease of maintenance. You will define and develop complex enterprise applications through AI Agentic frameworks, ensuring responsiveness, responsibility, traceability, and reasoning. Utilizing modeling techniques like UML and Domain-Driven Design, you will visualize intricate relationships between components and ensure seamless integrations. Leading large-scale platform projects, you will deliver No-code workflow management, HRMS, Collaboration, Search engine, Document Management, and other services for employees. Championing automated testing, continuous integration/delivery pipelines, MLOps, and agile methodologies across multiple teams will also be a key aspect of your role. To excel in this position, you should hold a BTech/MTech/PhD in Computer Sciences with specialization in AI/ML. A proven track record of leading large-scale digital transformation projects is required, along with a minimum of 3+ years of hands-on experience in building AI-based applications using Agentic frameworks. With a minimum of 12-14 years of experience in software design & development, you should have expertise in designing and developing applications and workflows using the ACE framework. Your skillset should include hands-on experience in developing AI Agents based on heterogenous frameworks such as LangGraph, AutoGen, Crew AI, and others. You should also be proficient in selecting and fine-tuning LLMs for enterprise needs and designing efficient inference pipelines for system integration. Expertise in Python programming, developing agents/tools in an AI Agentic framework, and building data pipelines for structured and unstructured data is essential. Additionally, experience in leveraging technologies like RAG (Retrieval Augmented Generation), vector databases, and other tools to enhance AI models is crucial. Your ability to quickly learn and adapt to the changing technology landscape, combined with past experience in the .NET Core ecosystem and front-end development featuring Angular/React/Javascript/Html/Css, will be beneficial. Hands-on experience managing full-stack web applications built upon Graph/RESTful APIs/microservice-oriented architectures and familiarity with large-scale data ecosystems is also required. Additionally, you should be skilled in platform telemetry capture, ingestion, and intelligence derivation, with a track record of effectively mentoring peers and maintaining exceptional attention to detail throughout the SDLC. Excellent verbal and written communication abilities, as well as outstanding presentation and public speaking talents, are necessary to excel in this role. Please note: Beware of recruitment scams.,

Location: Anywhere in the World Permanent Remote (Europe, Latam, Asia ) Contract length -6 Months Opportunity- Full Time, 8 hours, Must-Have Total Years Of exp- 4+ years experience mandatory Mandatory Skills: Rust - min 3 yrs, CI/CD - min 3 yrs, Git - min 3 yrs About The Role We are seeking a proficient Rust Developer with a strong interest in machine learning and human-computer interaction to join our team. In this role, you will contribute to the development and refinement of large language models (LLMs) by participating in Reinforcement Learning from Human Feedback (RLHF) tasks. Your work will involve building tools to facilitate human feedback, as well as directly providing insights to guide the training and improvement of LLMs Key Responsibilities Participate in RLHF tasks by providing human feedback on LLM outputs, helping to guide model training. Evaluate the responses generated by LLMs, identifying areas where the model needs improvement and providing qualitative feedback. Work closely with data scientists and ML engineers to ensure that feedback is accurately reflected in the models learning process. Collaborate with cross-functional teams to understand the requirements for human feedback in the RLHF process. Provide insights into how human feedback can be systematically incorporated into model training and improvement. Document processes and best practices for providing and integrating human feedback in LLM training. Stay informed about the latest advancements in reinforcement learning, LLMs, and human-computer interaction. Experiment with new methods and tools to improve the collection and integration of human feedback in RLHF tasks. Requirements Technical Skills: 3+ years of experience in Rust development, with a solid understanding of systems programming, performance optimization, and concurrency. Familiarity with machine learning concepts, particularly reinforcement learning, is highly desirable. Experience with human-computer interaction, user feedback systems, or similar domains is a plus. Proficiency with version control systems (e.g., Git) and CI/CD pipelines. Analytical Skills: Strong problem-solving skills, with the ability to analyze and improve the efficiency of RLHF tasks. Experience in evaluating and providing constructive feedback on AI/ML outputs. Skills: problem-solving,rust,performance optimization,learning,machine learning,problem-solving skills,cd,reinforcement learning,reinforcement,systems programming,human-computer interaction,concurrency,ci/cd,ci/cd pipelines,analytical skills,ai/ml,git,user feedback systems,version control systems,ci,

You are looking for a Senior OTT & Digital Media Technology Specialist with 10-15 years of experience to join your team in Bangalore. As a candidate, you should have at least 7 years of relevant experience in OTT/Streaming platforms. Your expertise should include Digital Content Production, with the ability to create multimedia content for online, mobile, smart TV applications, and social media. Additionally, you should be familiar with GenAI, AI/ML, and Cloud technologies. In this role, you will be responsible for managing the end-to-end production workflow from concept to delivery, tailored specifically to Public Broadcasters production protocols. Knowledge of IP Broadcasting Technology is essential as Public Broadcasters transition to IP-based distribution systems. Experience with audience analytics tools and platforms is required to analyze viewer behavior and content performance. Furthermore, you should have a good understanding of Digital Archive and content management systems to access and preserve the corporation's extensive media library. Technical knowledge of audio and video encoding standards, broadcast quality requirements, and delivery specifications is also necessary for this position. If you meet these qualifications and are interested in this opportunity, please share your resume with Pravallika@codersbrain.com. This role offers a dynamic work environment in a hybrid setting, with the option to work from home or the office.,

Role & responsibilities Job Description The role is responsible for software development using Python and scikit-learn libraries. Must have knowledge of Machine Learning and Generative AI. Responsibilities -Writing Python code -Train, test and deploy Machine Learning Models -Do data wrangling -Write prompts for Gen AI and create Gen AI applications Desired Skill sets Good programming skills Familiar with software applications and tools Good Knowledge of SQL Preferred candidate profile Having below mentioned experience AIML Machine learning Django python NLP

Key Responsibilities Technical Leadership Architect multi-LLM systems (e.g., Mixture-of-Experts, LLM routing) for cost-performance optimization. Design GPU/TPU-optimized training pipelines (FSDP, DeepSpeed) for billion-parameter models. Cloud-Native AI Development Build multi-cloud GenAI platforms (Azure OpenAI + GCP Vertex AI + AWS Bedrock) with unified MLOps. Implement enterprise security: VPC peering, private model endpoints, and data residency compliance. Innovation & Strategy Pioneer GenAI use cases: Agentic workflows, AI-driven synthetic data generation, real-time fine-tuning. Establish AI governance frameworks: Model cards, drift monitoring, and red-teaming protocols. Cross-Functional Impact Partner with leadership to define AI roadmaps and ROI metrics (e.g., $ saved via AI-driven automation). Preferred candidate profile Education: Bachelors/Masters in CS/AI or equivalent industry experience (5+ years in ML, 2+ in GenAI). Technical Mastery: Languages: Python. Frameworks: Expert-level PyTorch, TensorFlow Extended (TFX), ONNX Runtime. Cloud: Certified in Azure AI Engineer Expert and/or GCP Professional ML Engineer. GenAI Expertise: Shipped production GenAI systems (e.g., 10k+ QPS chatbots, code autocomplete at GitHub Copilot scale). Advanced prompt/response engineering: Self-critique chains, LLM cascades, guardrail-driven generation. Must-Have Experience Cloud AI experience: Azure: Designed solutions with Azure OpenAI, MLOps Pipelines, and Cognitive Search. GCP: Scaled Vertex AI LLM Evaluation, Gemini Multimodal, and TPU v5 Pods. High-Impact Projects: Automation projects to reduce significant $$ costs. Built RAG systems with hybrid search (vector + lexical) and dynamic data hydration. Led AI compliance for regulated industries (healthcare, finance).

Role Title: Senior LLM Engineer GenAI / ML (Python, Langchain) Role Overview We are seeking highly skilled and experienced Senior LLM Engineers with a strong background in Machine Learning and Software Engineering who have transitioned into Generative AI (GenAI) and Large Language Models (LLMs) over the past 34 years. This is a hands-on engineering role focused on designing, building, and deploying GenAI-based systems using state-of-the-art frameworks and tools. The role involves active participation in architectural design, model fine-tuning, and cross-functional collaboration with business stakeholders, data teams, and engineering leaders to deliver enterprise-grade GenAI solutions. Key Responsibilities GenAI System Design: Architect and develop GenAI/LLM-based systems using frameworks like LangChain and Retrieval-Augmented Generation (RAG) pipelines. Prompt Engineering & Agent Design: Implement advanced prompt engineering strategies and agent-based workflows to build intelligent, context-aware AI systems. Technical Roadmapping: Collaborate with product and engineering stakeholders to define and drive the technical roadmap for LLM and GenAI initiatives. AI Solution Delivery: Translate complex business requirements into scalable, production-ready AI solutions. Cross-functional Collaboration: Work closely with business SMEs, product owners, and data engineering teams to align AI models with real-world use cases. System Optimization: Contribute to code reviews, system architecture discussions, and performance tuning of deployed models. Required Skills 7–12 years of total experience in ML/Software Engineering, with 3–4 years of recent experience in LLMs and Generative AI. Strong proficiency in Python, LangChain, and SQL. Deep understanding of LLM concepts including: Prompt tuning Embeddings Vector databases (e.g., FAISS, Pinecone) Agent frameworks Experience working with cloud platforms such as AWS, Azure, or GCP. Solid understanding of ML pipelines, deployment strategies, and GenAI use cases. Ability to work independently and collaboratively in fast-paced, cross-functional environments. Strong verbal and written communication skills; ability to engage effectively with technical and non-technical stakeholders. Preferred Qualifications Minimum 1+ years of hands-on experience specifically in LLM/GenAI-focused implementations. Experience delivering ML/AI products from prototyping through to production. Familiarity with MLOps, CI/CD, containerization, and scalable AI model deployment. Prior involvement in client-facing projects orRole & responsibilities cross-functional teams building production-ready AI systems.

We are hiring for Manager and Senior Manager positions. Full time MBA from Tier -1 Business school is mandatory. Key Responsibilities: Leading a team of consultants/BAs, developing innovative solutions and managing complex projects from inception to closure. Designing, organizing, and implementing systems and tools to automate tasks and make processes more consistent Accelerate transformation through Data & Analytics and emerging ML/AI technologies Identify and structure business problems, communicate challenges and opportunities Mentoring and coaching junior consultants on best practices Minimum Qualifications: MBA from tier 1 B School Minimum 3 years of post MBA experience working in top tier consulting firm with experience in operations/supply chain/technology sector Strong SQL working knowledge Strong project management skills, with the ability to prioritize tasks and meet deadlines in a fast-paced environment. Excellent problem-solving, risk assessment, and decision-making skills. Excellent communication skills with the ability to work across technical and non-technical teams.

Collaborate with Workforce Management and Operational teams to analyze data formats and structures from in-house Workforce Management systems or client CRM/WFM systems Design and implement a scalable data warehouse or data lake with appropriate data pipelines. Ensure automated processing of operational data for generating standardized and customizable KPI matrices and dashboards. Lead the creation of systems that allow flexibility for client-specific rules and calculations. Integrate AI/ML solutions for predictive analytics and business insights. Establish data governance and ensure compliance with security and regulatory standards. Monitor data quality and optimize performance across the data ecosystem. Act as a technical leader, mentoring and managing a small team of data engineers. Provide regular updates to stakeholders and collaborate on defining long-term data strategies. About the Candidate Education: Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. Experience: 8+ years of IT experience with at least 5 years in data engineering or architecture roles. Hands-on experience with data pipeline tools and cloud platforms (e.g., Azure Data Factory, Azure Databricks, AWS Glue). Proficient in SQL, Python, and ETL processes. Experience in designing data warehouses, data lakes, and creating dashboards using BI tools like Power BI or Tableau. Familiarity with AI/ML technologies for analytics and predictive modeling. Strong understanding of data lifecycle management and compliance requirements. Mandatory Skills: Expertise in managing multi-source data integrations. Knowledge of industry-standard KPI frameworks and dashboarding techniques. Ability to handle client-specific customization requirements. Preferred Skills: Experience in BPO or IT Outsourcing environments. Knowledge of workforce management tools and CRM integrations. Hands-on experience with AI technologies and their applications in data analytics. Familiarity with Agile/Scrum methodologies. Soft Skills: Strong analytical and problem-solving capabilities. Excellent communication and stakeholder management skills. Ability to thrive in a fast-paced, dynamic environment. Leadership qualities to mentor and guide a team effectively.Role & responsibilities

Position Overview We are seeking a motivated Junior Python AI/ML Developer to join our dynamic team and contribute to cutting-edge artificial intelligence and machine learning projects. This role offers an excellent opportunity for a recent graduate or early-career professional to grow their expertise in either Computer Vision or Generative AI while working on real-world applications that drive business impact. Key Responsibilities Core Development Develop, test, and deploy machine learning models using Python and popular ML frameworks Write clean, efficient, and well-documented Python code following best practices Collaborate with senior developers and data scientists to implement AI/ML solutions AI/ML Implementation Build and train machine learning models for either computer vision or generative AI applications Perform data preprocessing, feature engineering, and model evaluation Implement model optimization techniques to improve performance and efficiency Monitor model performance in production and assist with maintenance Data Management Work with large datasets and implement data pipelines Conduct exploratory data analysis to understand patterns and insights Ensure data quality and implement data validation processes Collaboration & Learning Participate in agile development processes and team stand-ups Document technical processes and maintain project documentation Stay current with latest AI/ML trends and technologies Contribute to knowledge sharing within the team Required Technical Skills Programming & Development Python : Strong proficiency with 2+ years of experience ML Libraries : Experience with scikit-learn, pandas, numpy, matplotlib/seaborn Version Control : Proficiency with Git and collaborative development workflows Database : Basic knowledge of SQL and database operations APIs : Understanding of FAST APIs and web services Machine Learning Fundamentals Understanding of supervised and unsupervised learning algorithms Knowledge of model evaluation metrics and validation techniques Experience with data preprocessing and feature engineering Basic understanding of statistical concepts and data analysis Specialized Knowledge (Choose One Track) Computer Vision Track Deep Learning : Experience with TensorFlow or PyTorch CV Libraries : Familiarity with OpenCV, PIL/Pillow Image Processing : Understanding of image preprocessing and augmentation Model Architectures : Basic knowledge of CNNs and popular vision models Generative AI Track NLP Fundamentals : Understanding of text processing and tokenization LLM Experience : Basic experience with transformer models and APIs (OpenAI, Hugging Face) Text Generation : Knowledge of prompt engineering and fine-tuning concepts Vector Databases : Familiarity with embeddings and similarity search Required Qualifications Education & Experience Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related field 1-3 years of professional software development experience Portfolio of personal or academic AI/ML projects demonstrating practical application Technical Competencies Demonstrated ability to implement machine learning algorithms from scratch Experience with at least one end-to-end ML project (from data collection to deployment) Understanding of software engineering principles and clean code practices Preferred Qualifications Advanced Skills Master's degree in AI/ML, Computer Science, or related field Experience with MLOps tools and model deployment Familiarity with model optimization and quantization techniques Domain Expertise Previous internship or project experience in computer vision or NLP Publications or contributions to open-source ML projects Experience with A/B testing and experimentation frameworks Soft Skills & Personal Attributes Professional Skills Problem-Solving : Strong analytical thinking and debugging skills Communication : Ability to explain technical concepts to non-technical stakeholders Collaboration : Experience working in cross-functional teams Adaptability : Eagerness to learn new technologies and adapt to changing requirements Personal Qualities Passion for artificial intelligence and emerging technologies Detail-oriented with strong attention to code quality and testing Self-motivated with ability to work independently Curiosity and commitment to continuous learning

Location: Noida 1015 years in Oracle Cloud and AI, with 5+ years of proven experience in designing, architecting and deploying AI/ML & Gen AI Solution over OCI AI stack. Strong Python development experience, streamlit, XML, JSON etc. Deep hands-on knowledge of LLMs (e.g. Cohere, GPT etc.) &prompt engineering techniques (e.g. zero-shot, few-shot, CoT, and ReAct) especially for Cohere, & OpenAI Models. Strong knowledge of AI governance, security, guardrails, and responsible AI. Must have knowledge of data ingestion, feature engineering, model training, evaluation, deployment, and monitoring. Proficient in AI/ML/Gen AI frameworks (e.g., TensorFlow, PyTorch, Hugging Face, LangChain)& Vector DBs (e.g., Pinecone, Milvus). Role & responsibilities Qualifications: Oracle Cloud certifications such as: OCI Architect Professional, OCI Generative AI Professional,OCI Data Science Professional B.Tech Computer Science / MCA or equivalent degrees Any degree or diploma in AI would be preferred.

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :We are looking for an AI Architect with deep expertise in AI, Generative AI and Agentic systems. This role involves designing scalable architecture for LLM-powered agents and overseeing technical strategy for autonomous AI platforms. Roles & ResponsibilitiesArchitect end-to-end agentic AI systems with modular, reusable components Lead selection and integration of GenAI models, memory systems, and planning frameworks Design scalable APIs, inference pipelines, and orchestration layers using tools like LangGraph, AutoGen or AWS Agent Squad. Evaluate and implement best practices in multi-agent collaboration and tool-use strategies Work with cloud infrastructure teams to ensure scalable and secure deployments Drive research-to-production workflows including prototyping, testing, and performance tuning Mentor engineering teams and define architectural standards and documentation Professional & Technical Skills: Deep understanding of LLMs, agent frameworks, RAG, and context management Experience designing distributed, fault-tolerant systems and real-time AI applications on AWS environment from scratch. Proficient in Python, microservices, cloud-native patterns (Docker, serverless) Strong familiarity with GenAI tools (LangChain, Hugging Face, Bedrock, OpenAI APIs) Knowledge of data governance, AI safety, and system observability Leadership and mentoring capabilities across cross-functional teams Strategic thinking and strong communication skills Handle client communication, including articulating the solution to non-technical clients. Additional Information:- The candidate should have minimum 10 years of experience in software architecture or AI/ML systems, with 34 years in GenAI and agentic design- Bachelors or Masters in Computer Science, AI/ML, or a related field; PhD preferred for advanced roles- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :We are hiring an AI/ML Engineer with deep knowledge of Small Language Models (SLMs) to develop lightweight, efficient models optimized for real-time applications, including edge deployment and low-latency scenarios. Roles & ResponsibilitiesDesigning the architecture of Small Language Models (SLMs), selecting suitable model types (e.g., transformer-based), and define training datasets and evaluation benchmarks. Collecting, cleaning, and preprocessing data to ensure high-quality, task-relevant inputs for model training. Training and fine-tuning SLMs using optimized procedures to enhance task performance while adhering to resource constraints. Deploying SLMs into production systems, ensuring seamless integration and reliable real-time operation within target applications. Continuously monitor model performance, identifying optimization opportunities, and implementing updates to maintain accuracy and efficiency. Ensuring all stages of model development comply with data privacy, fairness, and security guidelines. Staying abreast of advancements in SLM research and tooling, experimenting with emerging techniques, and contributing to innovation in the domain. Professional & Technical Skills: Strong background in NLP, deep learning, and model compression Proficient in PyTorch, TensorFlow, Hugging Face Transformers Solid understanding of neural network architectures, including transformers and other relevant models, and experience with training and optimization techniques. Familiarity with CI/CD workflows and cloud platforms (AWS, Azure) Detail-oriented with a strong focus on performance optimization Handle client communication, including articulating the solution to non-technical clients. Team player with good collaboration and communication skills Additional Information:- The candidate should have minimum 7.5 years of experience in AI/ML, with at least 1-2 years working on LLM/SLM development closely- Bachelors or Masters in Computer Science, Machine Learning, or related technical field- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Position: AI Ops / ML Engineer Location: Bangalore / Chennai/ Pune/Coimbatore/NCR Experience: 4-10 years Primary Skill set : • AI / ML developers with min 7Yrs+ exp • Min 3 yr+ Working with Watson X platform in telecom OSS service assurance areas Secondary Skill (Good to have) • GenAI model development exp • Telecom service Assurance exp in ( PM, FM, SM, AD, CP) , • Exp with IBM Watson X Role & responsibilities Designs and trains models using Verizon Platform (e.g.,Watson X)Integrates models with network data. Fine-tunes models for anomaly detection, predictive maintenance and other use cases

Golang Developer is responsible for designing, developing, involves creating scalable and efficient solutions, collaborating with cross-functional teams Design, develop, and implement applications.

Role Overview: As a Data Scientist, you will support AI-driven projects across the enterprise. You will apply your technical skills in AI, machine learning, and data analytics to assist in implementing data-driven solutions that align with business goals. This role involves working with team members to translate data insights into actionable recommendations. Key Responsibilities: Technical Execution and Leadership: Develop and deploy AI models and data analytics solutions. Support the implementation and optimization of AI-driven strategies per business stakeholder requirements. Help refine data-driven methodologies for transformation projects. Data Science and AI: Design and implement machine learning solutions and statistical models, from problem formulation through deployment, to analyze complex datasets and generate actionable insights. Learn and utilize cloud platforms to ensure the scalability of AI solutions. Leverage reusable assets and apply company standards for data science and development. Project Support: Lead and contribute to various stages of AI and data science projects, from data exploration to model development. Monitor project timelines and help resolve technical challenges. Design and implement measurement frameworks to benchmark AI solutions, quantifying business impact through KPIs. Collaboration: Ensure alignment to stakeholders strategic direction and tactical needs. Work with data engineers, software developers, and other team members to integrate AI solutions into existing systems. Contribute technical expertise to cross-functional teams. Qualifications: Education: Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or a related field is required; an advanced degree strongly preferred Experience: 5-10+ years of experience in data science, AI, or analytics with a focus on implementing data-driven solutions. Experience with data cleaning, data analysis, A/B testing, and data visualization. Experience with AI technologies through coursework or projects. Technical Skills: Proficiency in SQL and Python for performing data analysis and developing machine learning models. Knowledge of common machine learning algorithms and frameworks : linear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks such as TensorFlow and PyTorch. Experience with cloud-based platforms and data processing frameworks . Understanding of large language models (LLMs). Familiarity with watsonx product suite Familiarity with object-oriented programming Analytical Skills: Strong problem-solving abilities and eagerness to learn. Ability to work with datasets and derive insights. Other Requirements: Good communication skills, with the ability to explain technical concepts clearly. Enthusiasm for learning and applying new technologies. Strong project management skills, with the ability to balance multiple initiatives, prioritize tasks effectively, and meet deadlines in a fast-paced environment Why Join Us? You will be part of a dynamic team driving the future of AI and data science in large-scale enterprise transformations. We offer a collaborative environment where your technical expertise will be valued, and your professional development will be supported. Join us to work on challenging projects, leverage the latest technologies, and make a tangible impact on leading organizations.

About Tredence: Tredence is a global data science solutions provider founded in 2013 by Shub Bhowmick, Sumit Mehra, and Shashank Dubey focused on solving the last-mile problem in AI. Headquartered in San Jose, California, the company embraces a vertical-first approach and an outcome-driven mindset to help clients win and accelerate value realization from their analytics investments. The aim is to bridge the gap between insight delivery and value realization by providing customers with a differentiated approach to data and analytics through tailor-made solutions. Tredence is 3500-plus employees strong with offices in San Jose, Foster City, Chicago, London, Toronto, and Bangalore, with the largest companies in retail, CPG, hi-tech, telecom, healthcare, travel, and industrials as clients. Please find below the job description. About the Role We are looking for an experienced and visionary Generative AI Architect with 8 -15 years of experience in AI/ML, including hands-on work with LLMs (Large Language Models) and Generative AI solutions . In this strategic technical leadership role, you will be responsible for designing and overseeing the development of advanced GenAI platforms and solutions that transform business operations and customer experiences. As the GenAI Architect, you will work closely with data scientists, ML engineers, product teams, and stakeholders to conceptualize, prototype, and scale generative AI use cases across the organization or client engagements. Key Responsibilities GenAI Solution Architecture & Design Lead the design and development of scalable GenAI solutions leveraging LLMs , diffusion models , and multimodal architectures . Architect end-to-end pipelines involving prompt engineering , vector databases , retrieval-augmented generation (RAG) , and LLM fine-tuning . Select and integrate foundational models (e.g., GPT, Claude, LLaMA, Mistral ) based on business needs and technical constraints. Technical Strategy & Leadership Define GenAI architecture blueprints, best practices, and reusable components for rapid development and experimentation. Guide teams on model evaluation, inference optimization , and cost-effective scaling strategies . Stay current on the rapidly evolving GenAI landscape and assess emerging tools, APIs, and frameworks. Collaboration & Delivery Work with product owners, business leaders, and data teams to identify high-impact GenAI use cases across domains like customer support, content generation, document understanding, and code generation. Support PoCs, pilots, and production deployments of GenAI models in secure, compliant environments. Collaborate with MLOps and cloud teams to enable continuous delivery, monitoring, and governance of GenAI systems. Required Qualifications & Experience Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related technical field . PhD is a plus. Experience: 12-15 years in AI/ML and software engineering, with 3+ years focused on Generative AI and LLM-based architectures . Core Skills Deep expertise in machine learning , natural language processing (NLP) , and deep learning architectures . Hands-on experience with LLMs, transformers, fine-tuning techniques (LoRA, PEFT) , and prompt engineering . Proficient in Python , with libraries/frameworks such as Hugging Face Transformers, LangChain, OpenAI API, PyTorch, TensorFlow . Experience with vector databases (e.g., Pinecone, FAISS, Weaviate) and RAG pipelines . Strong understanding of cloud-native AI architectures (AWS/GCP/Azure), containerization (Docker/Kubernetes), and API integration. Architectural & Leadership Skills Proven ability to design and deliver scalable, secure, and efficient GenAI systems . Strong communication skills for cross-functional collaboration and stakeholder engagement. Ability to mentor engineering teams and drive innovation across the AI/ML ecosystem. Nice-to-Have Experience with multimodal models (text + image/audio/video). Knowledge of AI governance, ethical AI, and compliance frameworks . Familiarity with MLOps practices for GenAI , including model versioning, drift detection, and performance monitoring. Required Skills Generative AI, LLM, GenAI

We are looking for a sr Engineer - AI/ML, with 5+ yrs of experience Responsibilities: * Develop AI/ML models using Python & ML algorithms * Collaborate with cross-functional teams on project delivery * Implement NLP techniques for text analysis Food allowance Health insurance Provident fund

Role & responsibilities Conduct expert technical lectures and hands-on sessions at NextGen campuses across India. Support in syllabus design, content development, and learning resource creation for multiple computer science domains. Manage and update Learning Management System (LMS) content regularly. Collaborate on intervention planning, student learning tracking, and outcome improvement. Participate in faculty training, hackathons, bootcamps, and review sessions. Stay up-to-date with new-age technologies such as AI/ML, Cloud, Cybersecurity, LLMs, and Full Stack Development. Preferred candidate profile Strong command over at least two of the following: AI/ML, Data Science, Cloud Computing, Cybersecurity, LLMs, or Full Stack Development. Hands-on experience with tools like Python, Git, Linux, Jupyter, cloud platforms (AWS/GCP), and version-controlled content. Excellent communication and presentation skills. Prior experience with LMS platforms and outcome tracking tools will be an advantage. Passionate about teaching and mentoring students in next-gen technologies.

Role & responsibilities Lead the design, development, and optimization of scalable Python-based applications. Collaborate with cross-functional teams to define software architecture and system requirements. Architect, develop, and deploy APIs, microservices, and backend components. Mentor and guide junior developers through code reviews and technical best practices. Build integrations with cloud-native services (AWS, Azure, or GCP) and containerized environments (Docker, Kubernetes). Collaborate with front-end teams to enable seamless integration with backend services. Develop test plans, write unit tests, and ensure code quality and scalability. Leverage knowledge of AI/ML, data structures, algorithms, and design patterns to solve complex problems efficiently. Preferred candidate profile inimum 10+ years of professional experience in Python development. Experience of leading a team of 3-4 people for last 2 years Hands-on experience in building Python applications, executing them for production, and maintaining them in a live environment actively. Proficiency in Python frameworks like Django, Flask, or FastAPI. Strong knowledge of RESTful API design and integration. Experience with SQL and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB). Familiarity with cloud platforms (AWS, GCP, Azure) and DevOps tools. Understanding microservices architecture and containerization. Excellent problem-solving and debugging skills. Strong communication and leadership abilities. Exposure to Agile development methodologies such as Scrum or Kanban. Experience working in enterprise-grade systems or platforms. Preferable : Knowledge or hands-on experience with AI/ML or GenAI. Familiarity with automation platforms and orchestration engines. Experience in integrating third-party APIs and services

You are passionate about designing new technologies, optimizing digital experiences, and continuously developing faster and better ways to achieve results. You seek to be part of a performance-driven culture dedicated to creating technology with a meaningful purpose. Working in an environment that values sustainability, inclusion, well-being, and career growth is important to you. As part of the Logistics & WMS Lead Supply Chain role, you will be instrumental in delivering DTS capabilities and products to support the business operations of the IFP Segment in collaboration with Global Digital Supply Chain & Logistics Platform teams. Your main responsibilities will include supporting the IFP Segment by leveraging value from global Enterprise, Supply Chain, and Logistics Applications/Platforms such as SAP eWM, Transport Management, and ERP Core Systems. You will play a key role in strategy deployment, ensuring execution throughout the year, managing the vision and strategy execution through analysis, and providing recommendations on the project portfolio and budget. Employing continuous improvement and agile methodology, you will establish standards and visual metrics for the leadership team. As a key leader in this position, you will collaborate with business strategies and capabilities to enhance operational performance and drive revenue growth. Your focus will be on ensuring effective operation and advancement of Logistics/Warehousing and Customer Deployment within the IFP Segment. Reporting directly to the Director of Supply Chain, Manufacturing & Finance, you will be responsible for co-creating and executing the IT Logistics Strategy for the IFP Segment, transforming the logistics environment, and partnering with IFP Sector Leaders to standardize processes and develop data-driven strategies. You will strive to prioritize common solutions over unique ones, drive an Agile/Product Owner process within Logistics, define and measure value, cost, and alignment to strategy, standardize business processes, automate manual work, manage data and technology, seek innovation and value through technology and process change, ensure security, privacy, and compliance are integrated into all activities, focus on successful adoption of processes and technology changes, invest in analytics for consumer understanding in Logistics Operations, leverage AI/ML to improve working capital, and implement solutions to enhance customer service and reduce costs. As a part of the Kimberly-Clark team, you will be contributing to a legacy of market leadership built on over 150 years of innovation and excellence. You will be part of a culture that values performance, sustainability, inclusion, well-being, and career development. To excel in this role, you should have 7-10 years of experience in strategic impact and technology delivery within Digital Supply Chain and Logistics operations, preferably in the CPG industry. You should demonstrate exceptional relationship-building skills, experience in application delivery, client relationship management, and an understanding of business benefits. To be considered for this role, click the Apply button and complete the online application process. Your application will be reviewed by the recruiting team, and they will follow up if you are deemed a suitable fit for the position.,

As a highly experienced and motivated Backend Solution Architect, you will be responsible for leading the design and implementation of robust, scalable, and secure backend systems. Your expertise in Node.js and exposure to Python will be crucial in architecting end-to-end backend solutions using microservices and serverless frameworks. You will play a key role in ensuring scalability, maintainability, and security, while also driving innovation through the integration of emerging technologies like AI/ML. Your primary responsibilities will include designing and optimizing backend architecture, managing AWS-based cloud solutions, integrating AI/ML components, containerizing applications, setting up CI/CD pipelines, designing and optimizing databases, implementing security best practices, developing APIs, monitoring system performance, and providing technical leadership and collaboration with cross-functional teams. To be successful in this role, you should have at least 8 years of backend development experience with a minimum of 4 years as a Solution/Technical Architect. Your expertise in Node.js, AWS services, microservices, event-driven architectures, Docker, Kubernetes, CI/CD pipelines, authentication/authorization mechanisms, and API development will be critical. Additionally, hands-on experience with AI/ML workflows, React, Next.js, Angular, and AWS Solution Architect Certification will be advantageous. At TechAhead, a global digital transformation company, you will have the opportunity to work on cutting-edge AI-first product design thinking and bespoke development solutions. By joining our team, you will contribute to shaping the future of digital innovation worldwide and driving impactful results with advanced AI tools and strategies.,

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. As part of our Analytics and Insights Consumption team, you'll analyze data to drive useful insights for clients to address core business issues or to drive strategic outcomes. You'll use visualization, statistical and analytics models, AI/ML techniques, Modelops, and other techniques to develop these insights. Candidates with 16+ years of hands-on experience are required for this position. **Required Skills:** - 15 years of relevant experience in pharma & life sciences analytics, with knowledge of industry trends, regulations, and challenges. - Proven track record of working within the pharma and life sciences domain, addressing industry-specific issues and leveraging domain knowledge to drive results. - Knowledge of drug development processes, clinical trials, regulatory compliance, market access strategies, and commercial operations. - Strong knowledge of healthcare industry trends, regulations, and challenges. - Proficiency in data analysis and statistical modeling techniques. - Good knowledge of statistics, Data analysis hypothesis testing, and preparation for machine learning use cases. - Expertise in GenAI, AI/ML, and data engineering. - Experience in machine learning frameworks and tools (For e.g. scikit-learn, mlr, caret, H2O, TensorFlow, Pytorch, MLlib). - Familiarity with programming in SQL and Python/Pyspark to guide teams. - Familiarity with visualization tools for e.g.: Tableau, PowerBI, AWS QuickSight etc. - Excellent problem-solving and critical-thinking abilities. - Strong communication and presentation skills, with the ability to effectively convey complex concepts to both technical and non-technical stakeholders. - Leadership skills, with the ability to manage and mentor a team. - Project management skills, with the ability to prioritize tasks and meet deadlines. **Responsibilities:** - Lead and manage the pharma life sciences analytics team, providing guidance, mentorship, and support to team members. - Collaborate with cross-functional teams to identify business challenges and develop data-driven solutions tailored to the pharma and life sciences sector. - Leverage in-depth domain knowledge across the pharma life sciences value chain, including R&D, drug manufacturing, commercial, pricing, product planning, product launch, market access, and revenue management. - Utilize data science, GenAI, AI/ML, and data engineering tools to extract, transform, and analyze data, generating insights and actionable recommendations. - Develop and implement statistical models and predictive analytics to support decision-making and improve healthcare outcomes. - Stay up-to-date with industry trends, regulations, and best practices, ensuring compliance and driving innovation. - Present findings and recommendations to clients and internal stakeholders, effectively communicating complex concepts in a clear and concise manner. - Collaborate with clients to understand their business objectives and develop customized analytics solutions to meet their needs. - Manage multiple projects simultaneously, ensuring timely delivery and high-quality results. - Continuously evaluate and improve analytics processes and methodologies, driving efficiency and effectiveness. - Stay informed about emerging technologies and advancements in the pharma life sciences space, identifying opportunities for innovation and growth to provide thought leadership and subject matter expertise. **Professional And Educational Background:** BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA,

As a Senior Developer Relations Engineer at Google, you will play a crucial role in collaborating with AI/ML cross-functional teams to manage product engagement and identify user needs. Your primary responsibility will involve working closely with the Android Developer Relations team, partnering with Android Product and Engineering teams, and CoreML teams to enhance AI/ML offerings. Passionate about technology and community engagement, you will have the opportunity to connect with developers who share the same enthusiasm for technology as you do. Your role will be a blend of community manager and developer advocate, where you will interact with developers at conferences, online platforms, and internal Google teams to advocate for developers" interests. With your technical expertise in coding languages such as Java, Kotlin, or similar mobile app development languages, you will drive strategies to foster a strong community of developers working with Google technologies. An essential aspect of your role will involve representing developers" voices internally to Product Managers, providing support in application development, and contributing to technology implementation. In addition to engaging with developers, you will also be involved in writing sample code, developing client libraries, and participating in developer forums to troubleshoot and debug coding issues. Your feedback on products and programs will be valuable in improving Google's offerings, and you will play a key role in supporting conferences and events to gain insights on user experience and emerging technologies. As part of the Android team, you will contribute to bringing AI/ML models on-device, advocating for Google APIs and best practices. Your collaboration with cross-functional teams will be instrumental in enhancing product engagement and addressing developers" pain points effectively. Join us in empowering developers worldwide and making computing accessible to everyone through innovative technology solutions.,