1197 Aiml Jobs - Page 23

Role & responsibilities About Us: GRT, an AI-first company with a dynamic team of 250 Engineers, is dedicated to developing innovative AI products that revolutionize sectors like retail, finance, and education. Our core focus centers on crafting sophisticated computer vision models and intuitive voice-enabled agents, designed to streamline operations and enhance user experiences. Leveraging our deep expertise, GRT also provides global clients with robust Reinforcement Learning from Human Feedback (RLHF) and Supervised Fine-Tuning (SFT) services, empowering businesses to effectively train and fine-tune Large Language Models for optimal performance. Job Title: Software Engineer(Full Stack) Location: Gurugram, Haryana(Work From Office) Type: Full time Role Overview: We are looking for experienced Fullstack Software Engineers who can contribute to post-training AI development workflows with strong proficiency in coding tasks and evaluation logic. This role involves working on high-impact AI infrastructure projects, including but not limited to: Code generation, validation, and transformation across Python, Java, JavaScript, and modern frameworks Evaluation and improvement of model-generated code responses Designing and verifying web application features, APIs, and test cases used in AI model alignment Interpreting and executing task specifications to meet rigorous quality benchmarks\ Collaborating with internal teams to meet daily throughput and quality targets within a structured environment Key Responsibilities: Work on fullstack engineering tasks aligned with LLM post-training workflows Analyze model-generated outputs for correctness, coherence, and adherence to task requirements Write, review, and verify application logic and coding prompts across supported languages and frameworks Maintain consistency, quality, and efficiency in code-focused deliverables Engage with leads and PMs to meet productivity benchmarks (89 working hours daily) Stay updated with AI development standards and contribute to refining internal engineering processes Technical Skills Required: Proficient in one or more backend languages: Python, Java, Node js Strong experience in frontend technologies: React.js, HTML/CSS, TypeScript Familiarity with REST APIs, testing frameworks, and Git-based workflows Ability to analyze, debug, and rewrite logic for correctness and clarity Good understanding of model response evaluation and instruction-based coding logic Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or related field 23 years of experience in a software development role (Fullstack preferred) Prior exposure to AI/LLM environments or code-based evaluation tasks is a plus Excellent written communication and logical reasoning abilities

Experience: 3 - 5 Years Location: Chennai Employment Type: Full-time Job Description: We are seeking a highly skilled and motivated AI/ML Engineer with 35 years of hands-on experience in developing and deploying intelligent systems. As part of our dynamic AI team, you will work on cutting-edge projects involving Machine Learning , Natural Language Processing (NLP) , and Generative AI technologies. This role requires strong programming skills, a deep understanding of AI frameworks, and experience in building scalable ML pipelines and APIs. Key Responsibilities: Design, develop, and deploy machine learning and deep learning models to solve real-world problems. Work on NLP tasks such as text classification and sentiment analysis. Build and maintain scalable RAG (Retrieval-Augmented Generation) pipelines for Generative AI applications. Develop GenAI applications using foundation model APIs (e.g., vertex AI, OpenAI, llama). Build and deploy FastAPI services to serve models and integrate with external systems. Optimize and containerize models using Docker for efficient deployment. Collaborate with cross-functional teams to integrate AI models into production systems. Perform data analysis using pandas and other Python libraries to extract meaningful insights. Stay up-to-date with the latest AI/ML research and best practices. Required Skills: Python Machine Learning Natural Language Processing (NLP) Generative AI Docker Deep Learning pandas Retrieval-Augmented Generation (RAG) FastAPI Foundation Model APIs (e.g., OpenAI, Gemini, Claude) Preferred Qualifications: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or related field. Experience working in agile development environments. Excellent problem-solving and communication skills.

Work youll do Deloitte has institutionalized AI, Gen AI and Analytics group within its Tax & Legal business, this group is a part of the Deloitte South Asia cluster and focuses to embed AI in everything we do, for our Tax & Legal business. You will be engaged in internal & external client projects to disrupt the way we operate and focus on building assets and solutions for our clients, including the latest technologies and methods around predictive models, prescriptive analytics, generative AI etc. We are looking for a highly skilled data scientist to join our dynamic team. The ideal candidate will have a solid background in artificial intelligence and machine learning, with hands-on experience in frameworks such as TensorFlow, PyTorch, scikit-learn, etc. The candidate should possess a deep understanding of data structures, algorithms, and distributed computing. Additionally, experience in deploying machine learning models in production environments, working with various database systems, and familiarity with version control, containerization, and cloud platforms are essential for success in this role. Also, candidates with great storyboarding skills and a penchant to convert AI driven mathematical insights to stories will be given preference. Responsibilities: Collaborate with cross-functional teams to translate business requirements into actual implementation of models, algorithms, and technologies. Execute the product road map and planning of the programs and initiatives as defined by the product owners. Independently solve complex business problems with minimal supervision, while escalating more complex issues to appropriate next level. Develop and maintain software programs, algorithms, dashboards, information tools, and queries to clean, model, integrate and evaluate data sets. Build and optimize pipelines for data intake, validation, and mining as well as modelling and visualization by applying best practices to the engineering of large data sets. Develop and implement advanced machine learning algorithms and models for various applications. Apply the latest advances in deep learning, machine learning and natural language processing to improve performance of legacy models. Customize latest available large language models to develop generative AI solutions for multiple business problems across multiple functional areas. Apply A/B testing framework and test model quality. Experience in taking the models to Production using Cloud Technologies Provide findings and analysis to take informed business decisions. Stay updated with the latest developments in AI/ML technologies and contribute to the continuous improvement of our systems. Requirement: Minimum of 2 - 8 years of relevant work experience. Master's degree in a related field (Statistics, Mathematics or Computer Science) or MBA in Data Science/AI/Analytics Experience with database systems such as MySQL, PostgreSQL, or MongoDB. Experience in collecting and manipulating structured and unstructured data from multiple data systems (on-premises, cloud-based data sources, APIs, etc) Familiarity with version control systems, preferably Git. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. Solid understanding of data structures, algorithms, and distributed computing. Excellent knowledge of Jupyter Notebooks for experimentation and prototyping. Strong programming skills in Python. In-depth understanding of machine learning, deep learning & natural language processing (NLP) algorithms. Experience with popular machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. Knowledge of containerization tools such as Docker. Experience in deploying machine learning models in production environments. Excellent problem-solving and communication skills. Proficient in using data visualization tools such as Tableau or Matplotlib, or dashboarding packages like Flask, Streamlit. Good working knowledge of MS PowerPoint and storyboarding skills to translate mathematical results to business insights.

We are hiring for a contract position with a leading client in the Wireless DSP domain. The role involves working on cutting-edge ML-based algorithms and wireless technologies. Location: Pune (Onsite) Duration: 4 Months Contract (Extendable) Experience: 3+ Years Key Responsibilities: Develop and deploy ML algorithms for wireless applications Collect training data in real-world setups (cabled/OTA) Perform model tuning and simulations Collaborate on efficient hardware implementations Required Skills: Python/MATLAB for ML model development Experience with TensorFlow/PyTorch Knowledge of wireless communication and signal processing

Greetings from Euclid Innovations!!! We are hiring for our internal Project on Python GenAI in Hyderabad location. Position : Python GenAI Experience : 5+ Years Location : Hyderabad/Bangalore Work Mode: Hybrid Interview Mode: Client Round F2F-In Hyderabad Notice Period: Immediate to 20 Days Max Role Overview: We are looking for a skilled Python Developer with strong Artificial Intelligence (AI) expertise to join our growing technology team. The ideal candidate will be responsible for developing AI-powered solutions using Python and collaborating with data scientists and product teams to bring intelligent features to our applications. Key Responsibilities: Develop and maintain AI-enabled applications using Python. Design and implement machine learning and deep learning models for tasks like classification, prediction, NLP, or computer vision. Collaborate with data scientists to prepare data pipelines and automate model training and evaluation. Develop APIs or microservices to expose AI models and integrate them into front-end systems. Perform data preprocessing, feature engineering, and model validation. Continuously optimize model performance and monitor outputs in production environments. Stay up to date with emerging AI tools, libraries, and trends. Required Skills: Strong knowledge of Python and experience with libraries such as NumPy , Pandas , Scikit-learn , and TensorFlow or PyTorch . Solid understanding of machine learning algorithms , data structures, and OOP principles. Experience in building and deploying ML models in production. Familiarity with RESTful API development using Flask or FastAPI. Experience working with structured and unstructured data . Version control using Git and basic knowledge of DevOps tools. Preferred Qualifications: Bachelors/Masters degree in Computer Science, Engineering, AI, or related field. Exposure to NLP, computer vision , or time series forecasting. Familiarity with cloud platforms like AWS, GCP, or Azure. Basic knowledge of Docker , Kubernetes , or MLflow is a plus. Nice to Have: Hands-on experience with Generative AI or LLMs . Contributions to AI research or open-source AI projects. Experience with AI model monitoring and performance tuning. if interested share your profile to aruna.c@euclidinnovations.com Thanks & Regards, Aruna Talent Acquisition Team Level 4, SLN Terminus, Jayabheri Enclave, Gachibowli, Hyderabad, Telangana 500032 Email ID : aruna.c@euclidinnovations.com | URL : www.euclidinnovations.com

Experience - 10 to 15 years Mandate Skills: AI, ML (Machine learning), deep learning, Pytorch, C++/ python, Architect Notice period - Immediate to 60 days Location: Mysore /Bangalore Bachelors/master's degree is preferred in computer science or related field (such as computer engineering, software engineering, biomedical engineering, or mathematical sciences) 8+ years of Machine learning based solution development experience or in medical space Strong verbal / communication, written & presentation skills Required Competencies in Leading, Mentoring teams in developing AI/ML & Analytical solutions • Willingness and ability to learn and adapt to rapidly changing needs and scope of work Preferred Technical Competencies: - Experience in Medical Image Algorithm & Visualization / Computer Vision / Decision support Solutions in Medical Segment - Experience with tools like ITK, VTK, Caffe, Matlab, OpenCV, OpenGL, Tensor Flow, Py Torch & other Machine learning libraries/ tools and platforms (including License tools) - Programming Experience in either one of Python, C++, R and others - Strong familiarity with the development, design, Verification and Deployment of AI Solutions - Solution Estimation & Pitching Experience

Job Title: Senior Data Scientist Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with strong experience in development of Gen AI products. You will be a part of the MBRDI Innovation Team and would have end-to-end responsibility - from data preparation and model training to deployment and monitoring - for the development of various AI products needed to enable and drive the innovation for Mercedes-Benz. You will be instrumental in designing, building, and deploying machine learning models, particularly leveraging Large Language Models (LLMs), to analyze diverse datasets (IP data, market data, etc.) and generate visual and qualitative insights on emerging trends, competitive landscapes, and strategic opportunities. Responsibilities: • AI Model Development & Deployment: Design, develop, and deploy advanced machine learning models, including those based on LLMs, for analyzing diverse datasets and generating strategic insights. • Data Engineering & Pipeline Development: Build and maintain robust data pipelines for ingesting, processing, and transforming large-scale datasets from various sources. • LLM Expertise & Implementation: Leverage your deep understanding of LLMs to develop and implement innovative AI-powered features and functionalities. • Data Analysis & Feature Engineering: Conduct in-depth data analysis, identify relevant features, and develop feature engineering strategies to improve model performance. • Model Evaluation & Optimization: Evaluate model performance using appropriate metrics, identify areas for improvement, and optimize models for accuracy and efficiency. • Cloud Infrastructure & Scalability: Design and implement scalable cloud-based infrastructure for deploying and managing AI models. • Visual & Qualitative Insights Generation: Develop algorithms and techniques for generating visual and qualitative insights from complex data, including trend analysis, competitive benchmarking, and strategic opportunity identification. • Experience in full stack development is a very strong plus: Build and maintain web applications and work on both front-end and back-end development, ensuring smooth integration and high performance of the applications. • Collaboration & Communication: Collaborate effectively with the business team and other stakeholders to translate business requirements into technical solutions. • Research & Innovation: Stay up-to-date with the latest advancements in AI and machine learning, and contribute to research and innovation efforts. Qualifications and Skills: • Education: Bachelors or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. • Minimum 6 years of experience in data science or machine learning engineering, with a proven track record of building and deploying successful Gen AI products. Experience working with Large Language Models (LLMs) and their applications. • Strong expertise in machine learning algorithms, including deep learning, natural language processing (NLP), and statistical modeling. • Proficiency in programming languages such as Python, and experience with machine learning frameworks like TensorFlow or PyTorch. • Skilled in web technologies - HTML, CSS, JavaScript, and frameworks (React, Angular). • Experience with cloud platforms such as AWS, Azure, or GCP, and their AI/ML services. • Excellent communication and collaboration skills.

Are you our Type Monotype, named "One of the Most Innovative Companies in Design" by Fast Company, is dedicated to bringing brands to life through type and technology that consumers engage with daily. With a rich legacy spanning centuries, Monotype boasts a library featuring renowned typefaces like Helvetica, Futura, and Times New Roman, among others. Additionally, Monotype offers a pioneering service that enhances access to fonts for creative professionals, facilitating their discovery, licensing, and utilization in today's digital landscape. Collaborating with major global brands and individual creatives, Monotype provides a diverse range of solutions to streamline the design of captivating brand experiences. Monotype Solutions India serves as a strategic center of excellence for Monotype, recognized as a certified Great Place to Work for three consecutive years. The center's rapid growth encompasses various domains such as Product Development, Product Management, Experience Design, User Research, Market Intelligence, AI and Machine Learning research, Innovation, Customer Success, Enterprise Business Solutions, and Sales. Headquartered in the Boston area with a global presence across 4 continents, Monotype stands as the world's leading font company, trusted by the top brands worldwide and acknowledged as One of the Most Innovative Companies in Design by Fast Company. Monotype is a pioneering technology company at the forefront of AI innovation in fonts. We are currently seeking a motivated and curious AI/ML Engineer to join our dynamic team. As an AI/ML Engineer, you will be instrumental in designing and implementing state-of-the-art AI/ML solutions to address real-world challenges. This position is based in the Delhi NCR area. **What you will be doing:** - Designing, developing, and testing AI/ML models using supervised and unsupervised learning techniques. - Preparing and pre-processing data for model training and evaluation. - Collaborating with data scientists and engineers to define project requirements and success metrics. - Deploying and monitoring models in production environments. - Staying updated with the latest advancements in AI/ML research and development. **What we are looking for:** - Bachelor's degree in computer science, mathematics, statistics, or a related field. - Strong grasp of machine learning concepts, algorithms, and techniques. - Knowledge or understanding of deep learning frameworks (TensorFlow, PyTorch) and programming languages (Python, R). - Familiarity with data wrangling and manipulation tools (pandas, NumPy). - Excellent communication and collaboration skills. - A keen interest in continuous learning and exploring new technologies. **Preferred Skills:** - Strong understanding of computer vision, natural language processing, and other AI-related domains. - Knowledge or understanding of generative AI models, particularly Stable Diffusion. - Published research papers or contributions to the AI/ML community are advantageous. - Knowledge or understanding of building and deploying ML pipelines. Monotype is expanding globally, and proficiency in one or more of the following languages (German, Japanese, French, Spanish) is desirable but not mandatory for this role.,

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.