282 Genai Jobs - Page 11

Lead Data Scientist - GenAI Location: Hyderabad (Onsite/Hybrid) Experience: 8+ years Only Immediate to 30 Days Notice Period will be preferable. About the Role: We are looking for a Project Lead - GenAI with strong expertise in AI, Machine Learning, and Generative AI to lead the development of innovative AI-driven solutions. In this role, you will drive the design, development, and deployment of LLMs, NLP models, and AI agents , ensuring they scale effectively within modern application architectures. If you are an experienced Python engineer with hands-on experience in AI/ML and MLOps , this is a great opportunity to lead impactful projects in a fast-paced environment. Key Responsibilities: Lead and oversee the development of Generative AI solutions from concept to deployment. Design and build scalable AI applications leveraging LLMs, NLP, and AI agents . Architect and optimize data pipelines for AI model training, tuning, and deployment. Implement MLOps best practices for streamlined model deployment and monitoring. Develop and integrate AI models within microservices and event-driven architectures . Stay ahead of the latest advancements in GenAI, AI frameworks, and model fine-tuning techniques . Collaborate with cross-functional teams, including data engineers, ML scientists, and software developers . Drive best coding practices, performance optimization, and AI ethics considerations in AI model development. Must-Have Skills: 8+ years of experience in AI/ML, with a focus on GenAI and NLP. Strong Python engineering skills with experience in building scalable applications. Expertise in Transformers, LLMs, NLP, Machine Learning, and AI agents. Hands-on experience in data pipelines, model training & deployment, and MLOps. Experience working with modern application architectures (Microservices, Event-Driven Systems). Preferred Skills: Knowledge of FastAPI for high-performance API development. Experience with Snowflake for data storage and processing. Hands-on experience with PyTorch or TensorFlow for deep learning model development. Familiarity with LangChain & OpenAI APIs for integrating LLMs into applications. Strong communication & interpersonal skills to lead and collaborate effectively.

Job Summary: As the Lead AI/ML Engineer, you will be responsible for designing, developing, and implementing machine learning algorithms and AI solutions that address complex business challenges. You will lead a team of engineers collaborating with cross-functional teams to drive the successful deployment of AI initiatives. Your expertise will be crucial in shaping our AI strategy and ensuring the delivery of high-quality, scalable solutions. Key Responsibilities: Lead the design and development of machine learning models and AI solutions to solve business problems. Select appropriate machine learning or deep learning models based on problem context and data availability. Develop, train, test, and validate models using state-of-the-art methodologies and frameworks. Collaborate with analytics, developers and domain experts to acquire, clean, and preprocess large datasets. Engineer features and performs exploratory data analysis to ensure data quality and model readiness. Containerize models (Docker/Kubernetes), implement monitoring (Prometheus/Grafana), and automate pipelines (MLflow/Kubeflow). Implement models into production environments, ensuring robustness, scalability, and maintainability. Develop and maintain CI/CD pipelines for seamless model integration and deployment. Monitor and evaluate model performance post-deployment and iterate based on feedback and performance metrics. Work closely with cross-functional teams (e.g., product, engineering, Ux, Ax) to align model development with business objectives. Stay updated with emerging trends in AI/ML research and tools, integrating best practices into the development process. Document model architecture, development processes, and performance evaluations thoroughly. Share insights and technical know-how with team members to foster a culture of continuous learning and improvement. Research & Innovation: Stay ahead of AI trends (LLMs, generative AI) and advocate for ethical AI practices. Develop and implement best practices for model development, testing, and deployment. Analyze large datasets to extract insights and improve model performance. Communicate complex technical concepts to non-technical stakeholders effectively. Ensure compliance with data privacy and security regulations in all AI/ML initiatives. Qualifications: Bachelors or masters degree in computer science, Machine Learning, or a related field. Proven experience (5+ years) in AI/ML engineering, with a strong portfolio of successful projects. Proficiency in programming languages such as Python, R, or Java, and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of machine learning algorithms, statistical modeling, and data analysis techniques. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment. Strong communication and interpersonal skills, with the ability to lead and inspire a team. Experience with version control systems (e.g., Git) and agile development methodologies is a plus.

Summary: As a Senior Innovation Engineer, you will be a key member of the innovation lab at Ashley Furniture, responsible for driving the integration of AI across all aspects of the business. You will be a strategic engineer, responsible for creating and implementing new technologies that will revolutionize the customer experience, augment the workforce, and unlock new opportunities for Ashley Furniture. You will be responsible for the technical design, development, testing, and implementation of complex problems and seeding opportunities to proof of value of new products and features. The selected candidate will be required to have an X-shape profile and possess a deep understanding of first principles. Primary Job Functions: Lead the development and implementation of new technologies that will transform the customer experience, augment the workforce, and create new opportunities for Ashley Furniture. Collaborate with cross-functional teams to identify business problems that can be solved using AI technologies. Develop advanced algorithms and models to extract insights from data and create recommendations for business decisions. Implement machine learning models using Python, Typescript, C#, Java, and other relevant programming languages. Lead the team in developing prototypes and proof-of-concepts to demonstrate the feasibility of new technologies. Stay up to date with the latest developments in AI, machine learning, and related fields, and identify potential applications for Ashley Furniture. Mentor and guide junior engineers to help them develop their skills and deliver high-quality work. Demonstrate the Companys Core and Growth Values in the performance of all job functions. Education: Bachelor's or masters degree in Computer Science, Mathematics, or related field. Experience: At least 7 years of experience in developing technology solutions, integrating, or creating AI and machine learning models. Knowledge, Skills and Abilities: X-shape profile, with a deep understanding of first principles. Proficient in Python, Typescript, C#, Java, CSS and other relevant Experience with machine learning frameworks such as TensorFlow, Keras, PyTorch, etc. Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Ability to lead a team and work independently. Strong project management skills. programming languages. Strong attention to detail Excellent verbal and written communication skills Excellent interpersonal skills Effective time management and organizational skills Work independently as well as in a team environment Document management system Analytical and problem solving skills Maintain confidentiality If you feel you have the necessary skill sets and are passionate about the job, please send your profile to vthulasiram@ashleyfurnitureindia.com with below requested details (mandatory) Total Experience: Data Science Experience: Do you have all the required technology experience mentioned in JD: Current CTC: Expected CTC: Notice Period: Are you ok for 5 days work from office mode: Would you like to from Chennai or Bangalore:

Dear Candidates, Greetings of the day!! My name is Karthikeyini, and I'm reaching out to you regarding an exciting opportunity with TechMango. You can connect with me on LinkedIn https://www.linkedin.com/in/karthikeyini-t-0943b0290/ Or Email: Karthikeyini.t@techmango.net Find below the JD for the opening of Python Developer - TechMango Role : Python Developer Experience : 3 - 8 Years Job Location : Madurai and Chennai Mode: Work From Office Mandatory skills : Python, Django,Flask, SQL,MongoDB, GenAI, NLP, ML Libraries and AWS services or other cloud platforms(Azure,GCP) Job Description : Strong proficiency in Python and web frameworks(Django,Flask,FastAPI). Hands on experience with SQL,MongoDB,PL/SQL Proficiency in GenAI(AI powered chatbot,LLM based application,AI Models),NLP & ML algorithms. Experience in ML libraries such as Tensorflow,PYTorch or Scikit learn. (Optional) PowerBI reporting tool Hands on experience in AWS services or other cloud platforms(Azure,GCP) Strong knowledge of performance tuning and problem solving skills Mandate Skills: Python, Django, SQL, GenAI, NLP,ML Algorithm and AWS or Any cloud Platforms (Azure or GCP) Interested Candidates Please share the below mandate details with your resume to karthikeyini.t@techmango.net

Experience Range - 3-5Yrs Location- Noida/ Pune/ Chennai Interested candidates can share resumes at deepali.rawat@rsystems.com Requirement - PhD in Computer Science, Information Science, Mathematics, Statistics, Engineering, or a related field, OR a Master's degree with 2+ years of industry experience. Experience with machine learning and GenAI algorithms, including large language models. Proficiency in programming languages such as Python. Experience with cloud-based platforms (e.g., AWS, Azure). Strong problem-solving and analytical skills. Experience with deep learning algorithms and neural networks. Excellent communication and presentation skills

Job Description: If you are a smart, self-motivated Machine Learning Scientist with a passion for advancing the field of Generative AI, we have an excellent opportunity for you. We are seeking candidates with deep expertise in developing and fine-tuning LLMs, RAG, agentic solutions, and knowledge graph technologies to drive innovative solutions in GenAI. You will be at the forefront of pioneering advancements in AI, working alongside some of the brightest minds in an exciting R&D environment to build cutting-edge capabilities that redefine the future of artificial intelligence. Job Responsibilities: Lead research and development initiatives in the GenAI domain, focusing on cutting-edge technologies like Large Language Models, Retrieval-Augmented Generation, and autonomous agents. Design and implement advanced workflows for integrating LLMs into real-world applications across various domains such as Finance, Insurance, and Healthcare. Develop and fine-tune domain-specific LLMs to optimize performance, using techniques like prompt engineering, adapter-based tuning, or low-rank adaptation. Architect and implement scalable knowledge graph solutions to enhance reasoning capabilities in AI systems. Drive the development of retrieval-augmented systems by combining LLMs with document retrieval, clustering, and search techniques. Collaborate with cross-functional teams to prototype, test, and deploy solutions in production environments, both on-premise and in the cloud. Mentor and guide junior researchers and engineers to foster innovation and ensure high-quality deliverables. Stay at the forefront of AI advancements by reading, adapting, and implementing cutting-edge research to solve real-world challenges. Document research findings, methodologies, and implementations for internal and external stakeholders. Qualifications: Experience: 9-13 years in AI/ML research and development, with at least 2-3 years focusing on GenAI, LLMs, or related fields. Education: Masters or PhD in Computer Science, AI, or a related field from a top-tier institution is highly preferred. Required Skills: Core Expertise: Proven experience with Large Language Models (e.g., GPT-4, BERT, LLaMA, PaLM) and fine-tuning them for domain-specific applications. In-depth knowledge of Retrieval-Augmented Generation workflows, including retrieval system design and document store integration. Strong background in knowledge graph development, graph neural networks, and integrating graph-based reasoning in AI pipelines. Hands-on experience developing and deploying autonomous agents for complex problem-solving tasks. Tools & Frameworks: Proficiency in deep learning frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. Experience with distributed training and optimization on GPUs and TPUs. Familiarity with cloud ecosystems (AWS, Azure, Google Cloud) and MLOps practices for scalable deployment. Research & Development: Ability to read and adapt cutting-edge research papers for applied solutions in LLMs and knowledge graphs. Expertise in domain adaptation, few-shot learning, and zero-shot reasoning. Strong understanding of generative models, including VAEs, GANs, or diffusion models, and their integration with LLMs. Problem Solving: Demonstrated ability to address challenges in unstructured data processing, including NLP and multimodal scenarios. Experience with document retrieval, clustering, and unsupervised learning techniques. Preferred Skills: Experience with reinforcement learning and fine-tuning via RLHF (Reinforcement Learning with Human Feedback). Knowledge of large-scale optimization methods for model training and inference. Familiarity with knowledge distillation and efficient model compression techniques. Strong collaboration and communication skills, with a proven ability to lead teams.

We are looking for a highly skilled and experienced Architect (ATC) to join our team. As an Architect, you will be responsible for designing and overseeing the construction of buildings and structures. Your main goal will be to ensure that all projects are completed on time, within budget, and meet the client's specifications. This is a full-time position, and you will be required to work from the client's office. The ideal candidate will have at least 8 years of work experience in the field of architecture and a strong understanding of building codes and regulations. You should also have excellent communication and project management skills, as you will be working closely with clients, contractors, and other team members. If you are a creative problem-solver with a passion for architecture, we would love to hear from you. Extensive implementation experience in data analytics space or a senior developer role in one of the modern technology stack Excellent programming skills and proficiency in at least one of the major programming scripting languages used in Gen AI orchestration such as Python or PySpark or Java Ability to build API based scalable solutions and debug & troubleshoot software or design issues Hands on exposure to integrating atleast one of the popular LLMs(Open AI GPT, PaLM 2, Dolly, Claude 2, Cohere etc.) using API endpoints. Thorough understanding of prompt engineering; implementation exposure to LLM agents like LangChain & vector databases Pinecone or Chroma or FAISS Ability to quickly conduct experiments and analyze the features and capabilities of newer versions of the LLM models as they come into market Basic data engineering skills to load structured & unstructured data from source systems to target data stores Work closely with Gen AI leads and other team members to address requirements from the product backlog Build and maintain data pipelines and infrastructure to support AI Solutions Desirable:Hands on exposure to using cloud(Azure/GCP/AWS) services for storage, serverless-logic, search, transcription and chat Extensive experience with data engineering and ETL tools is a big plus Masters/Bachelors degree in Computer Science or Statistics or Mathematics

Experience: 10 yrs Primary skill: Llama Secondary skill : GenAI

Experience: 5 yrs Primary skill: Llama Secondary skill : GenAI

Experience: 3+ yrs Primary skill: Llama Secondary skill : GenAI

We are looking for a results-oriented senior leader to lead the global delivery & client relationship management for multiple projects. If you are driven by hyper growth challenge and love to wow the clients with your innovative solutions, then this is just the right leadership role for you! The role responsibilities include: Responsible for delivery excellence of all programs and accounts rolling up to the practice through strong governance and review mechanism. Continual Innovation aimed at creating future proof solutions for the marketing functions with a focus on industrialization, delivery process standardization and reuse across the marketing operations & digital marketing scope. Develop use cases in the generative AI and other technologies prevalent for marketing process optimization. Accurately forecast revenue, head count, profitability, margins, bill rates and utilization. Ensure attention to demand prediction and fulfilment across the MU Represent Capgemini in client steering committee meetings. Build strong executive connects to enable management of client expectations and foster lasting client relationships. Continually seek opportunities to increase customer satisfaction and deepen client relationships. Work closely to ensure that the operational parameters are green. Work closely & collaborate with Practice/ Global Account Managers/AE/BDE in a collaborative manner to grow the business across various Industry verticals and the market units and ensure the delivery function runs efficiently. Identify business development and "add-on" sales opportunities in existing programs. While the primary function will be development and delivery of programs within the MU, he/she will also have the responsibility to look ahead into the next 2-3 years and ensure that a strategic road map is in place for the future. This will be done in conjunction with AE/BDEs/Sales Leaders. Our Ideal Candidate He/She/They OR, the incumbent will have 18+ years experience with a large marketing shared services or marketing service provider with a strong project track record. Minimum 18 years’ experience in delivery management comprising of engagements for global clients in Marketing Operations areas – Artwork Management, Media and Creative, Advertising Operations, Marketing Asset Management, Product Data Orchestration, Innovation Project management Experience in managing big P&Ls for operations/delivery for international clients Demonstrated ability to influence without formal authority within cross-functional teams on adopting new ways of working. Previous experience successfully leading large delivery teams (400+) of marketing specialists with a strong focus on talent management. Good understanding of the latest tech and platforms in marketing domains including GenAI Previous experience with leading delivery in a recognized agency will be an added advantage. Exceptional communication skills Experience with international clients mandatory Working experience with cross cultural teams spread across India, Latin America and European centers is required

ML Engineer job profile Machine Learning is a field of artificial intelligence that focuses on developing systems that can learn and improve from experience. Machine Learning Engineers work on creating and implementing AI models and algorithms to solve complex problems. This role often involves working with large datasets, developing algorithms, and deploying models into production environments. ML Engineer job description We are seeking an enthusiastic and motivated Machine Learning Engineer with 1-3 years of experience to join our team. As a Machine Learning Engineer, you will be responsible for designing, building, and maintaining machine learning models with a focus on Generative AI, Large Language Models (LLMs), and Natural Language Processing (NLP). You will use your skills and knowledge to tackle real-world challenges and contribute to the advancement of AI technology. ML Engineer duties and responsibilities Design, develop, and implement efficient and scalable machine learning models and algorithms Work closely with software engineers to integrate ML models into production systems Implement and optimize NLP algorithms and pipelines Optimize and fine-tune existing models for improved performance Contribute to the research and implementation of state-of-the-art GenAI techniques Participate in the full machine learning lifecycle, from data preparation to model deployment Collaborate with cross-functional teams to identify and solve complex business problems using AI Stay up-to-date with the latest advancements in ML, especially in GenAI, LLMs, and NLP Document your work, including model architectures, experiments, and results Must have skills C++ Programming: Proficiency in writing efficient, modular, and maintainable C++ code, including knowledge of advanced features such as templates, STL, and memory management, and implementation of data structures, algorithms, object-oriented programming principles, and design Visual Studio: Experience using Visual Studio IDE for C++ development, including project management, debugging, and performance profiling. VC++ : Background in Visual C++, including building applications for Windows platforms, integrating with Windows APIs, etc Database Management: Experience working with relational databases (e.g., SQL Server, MySQL) and proficiency in writing efficient SQL queries, database design, and optimization. Good to have skills File System Knowledge: Understanding of different file systems such as FAT (File Allocation Table), APFS (Apple File System), and NTFS (New Technology File System), and their structures, features, and limitations. Low-Level APIs: Familiarity with low-level APIs for system-level programming, including filesystem APIs, device drivers, and system calls. Understanding of memory management, I/O operations, and concurrency control at a low level.

We are seeking a highly skilled Generative AI Data Scientist to design, develop, and deploy generative AI applications and models that can generate meaningful insights, creative business domain content, or solve domain-specific challenges. The ideal candidate will combine expertise in data science, machine learning, AI and natural language processing (NLP) with a passion for innovation and real-world applications. As part of the EXL Digital AI R&D Innovation team, you will work as a Data Scientist in the Innovation unit supporting all EXL Business Units. You will be exposed to hundreds of different enterprise GenAI business use cases and help our clients create value architecting GenAI applications and solutions. This role involves working on cutting-edge Generative AI technologies to drive significant revenue growth, operational efficiencies, and enhanced customer experiences for our Fortune 1000 enterprise clients across various industries in insurance, healthcare, banking & financial services, media, and retail. You will work with a team of talented data scientists, AI researchers, software engineers, ML engineers, project managers and delivery managers helping them in deploying advanced AI technologies. Youll work with domain-specific data, design models and AI systems & architectures at scale, design RAG pipelines, improve AI Governance and responsible, LLM selection(GPT-4, Llama2, Mistral, Claude, Gemini, Flan, BERT) & fine-tuning PEFT LoRa/QLoRa adapters, LLM Prompt Engineering, Agentic AI, AutoGen, AI Autonomous Agents, Multimodal LLMs and LLM orchestration architectures for enterprise data at scale in Python. Key Responsibilities Model Development: Research, design, and develop state-of-the-art generative models such as GPT, GANs, VAEs, or diffusion models for tasks like text generation, summarization, reasoning, Q&A, or predictive analytics. Fine-Tuning: Fine-tune pre-trained models (e.g., Llama3, Mistral, OpenAI GPT, BERT, T5) to meet domain-specific requirements. Data Preparation: Clean, preprocess, and structure large datasets to train, validate, and test generative AI models. Deployment: Implement scalable solutions for deploying generative AI models in production environments using tools like Docker, Kubernetes, or cloud platforms (AWS, GCP, Azure). Collaboration: Work closely with cross-functional teams, including product managers, engineers, and stakeholders, to align AI solutions with business goals. Evaluation: Develop metrics and benchmarks to evaluate model performance and ensure quality outputs. Research: Stay up to date with the latest advancements in AI/ML, particularly in generative AI techniques, and propose innovative solutions. Ethical AI Practices: Ensure ethical considerations are addressed in model development, including fairness, accountability, and explainability. Experience of architecting AI systems to solve complex business problems. Build advanced RAG pipelines, text chunking, and retrieval, LLM Prompt Engineering, using Vector Databases. Implement right LLM selection based on use cases and client criteria (GPT-4, Llama2, Mistral, Claude, Gemini, Flan, BERT) while managing trifecta of accuracy, cost, and latency/scale. Develop, fine-tune, context tune and implement state-of-the-art NLP models including Large Language Models like GPT, Llama3.1, Claude, BLOOM, Flan-T5, Falcon etc. fine-tuning PEFT LoRa/QLoRa adapters design AI systems & architectures, while considering good Responsible AI standards and AI Governance. Build Agentic AI, AutoGen, Muti-agents use cases, AI Autonomous Agents and LLM orchestration architectures for enterprise data at scale in Python. Hands on experience with complementary technologies around LLMs like embedders, vector databases (chroma, weaviate etc.), orchestration tools like Langchain, LlamaIndex etc. Conduct research and experimentation to improve existing models and propose novel approaches. Collaborate with cross-functional teams to integrate generative AI solutions into real-world applications. Stay up-to-date with the latest advancements in deep learning and generative models and apply them to enhance our AI capabilities. Document research findings, prepare technical reports, and contribute to whitepaper/scientific publications. Provide deep leadership and coaching in the project delivery lifecycle. Focus on shared learning, continuous improvement, and drive adoption of best practices. Qualifications Education and Experience: Masters of Science or PhD in computer science, data science, statistics, Natural Language Processing 2-3 years of experience in GenAI and Large Language Models. Strong programming skills in Python, including experience with libraries like TensorFlow, PyTorch, Hugging Face Transformers, or similar. as evidenced by released code (e.g., GitHub repositories version control awareness). Solid understanding of optimization techniques for training deep neural networks, regularization methods, and hyperparameter/fine tuning. Hands-on experience with generative AI models, such as Llama3, GPT4, Claude Knowledge of NLP, computer vision, or multimodal AI techniques. Proficiency in data manipulation and analysis tools (e.g., Pandas, NumPy, SQL). Experience in Generative AI Models and LLMs, finetuning LLMs, prompt engineering and experience with LLM orchestration frameworks like Langchain, LlamaIndex, RAGAS, etc. Strong software engineering skills for rapid and accurate development of AI models and systems. Understanding of Agentic AI, Autonomous Agents, AI Agents, AutoGen, Crew.ai, Langchain, and workflow steps design. NVIDIA Blueprints. Google AI Agents. Provide business-oriented solution with ability to communicate effectively, both verbally and in writing, with technical and non-technical stakeholders. Experience working in a collaborative environment, contributing to multidisciplinary teams and projects. Proven ability to solve complex problems, think creatively, and adapt to evolving research trends. Experience in deploying ML models in cloud environments (AWS SageMaker, GCP AI Platform, or Azure ML). Strong problem-solving and analytical skills. Excellent communication skills, both technical and non-technical. Skills and Competencies: 5 years of experience in AI, NLP including transformer architecture and LLMs, Computer Vision and related technologies Excellent communication and problem-solving skills. Working with cross-functional teams across different stakeholders. Ability to explain GenAI to non-technical audiences across many different industries. Ability to do GenAI Architecture solutioning for existing clients and potential clients. People leadership skills. Candidate is also hands on developer while people managing Data Scientists, ML Engineers etc. Experience in ML Engineering and MLOps, MLFlow Strong understanding of statistical and machine learning concepts Experience with deep learning frameworks such as TensorFlow and PyTorch Familiarity with key concepts and techniques used in generative models, such as variational autoencoders (VAEs), generative adversarial networks (GANs), and flow-based models. Strong programming skills in languages such as Python, along with experience working with popular deep learning frameworks like PyTorch and TensorFlow. Understanding of Graph Database and/or Vector Database along with knowledge of cloud services (e.g., AWS, Azure, GCP). Experience with deploying AI models in production environments. Familiarity with domain-specific applications of generative AI Leveraged both Azure and AWS for model inferencing. For finetuning, he has worked more on AWS SageMaker. Has used different retrieval, reranking, and generation techniques based on the use case complexity and the metrics required. Has played multiple roles in the past, such as an individual contributor, a solution architect, a mentor, a trainer, and a people manager. He also participates in RFI, RFP, thought leadership, and business development activities.

Company Description When youre one of us, you get to run with the best. For decades, we’ve been helping marketers from the world’s top brands personalize experiences for millions of people with our cutting-edge technology, solutions and services. Epsilon’s best-in-class identity gives brands a clear, privacy-safe view of their customers, which they can use across our suite of digital media, messaging and loyalty solutions. We process 400+ billion consumer actions each day and hold many patents of proprietary technology, including real-time modelling languages and consumer privacy advancements. Thanks to the work of every employee, Epsilon India is now Great Place to Work-Certified™. Epsilon has also been consistently recognized as industry-leading by Forrester, Adweek and the MRC. Positioned at the core of Publicis Groupe, Epsilon is a global company with more than 8,000 employees around the world. For more information, visit epsilon.com/apac or our LinkedIn page. Job Description: About BU The Product team forms the crux of our powerful platforms and connects millions of customers to the product magic. This team of innovative thinkers develop and build products that help Epsilon be a market differentiator. They map the future and set new standards for our products, empowered with industry best practices, ML and AI capabilities. The team passionately delivers intelligent end-to-end solutions and plays a key role in Epsilon’s success story. Why are we looking for you? Primary role of the SSE is to envision and build internet scale services on Cloud using Python and GenerativeAI. We are seeking an experienced and innovative Senior Software Engineer to lead the design, development, and deployment of scalable Python applications integrated with advanced Generative AI capabilities. In this role, you will work on AWS Bedrock models, Retrieval-Augmented Generation (RAG), multi-agent systems, and real-time feedback loops. Additionally, you'll develop dynamic, interactive front-end solutions using Angular UI frameworks. You’ll collaborate with teams across various functions to create next-gen AI-powered software products that address complex challenges. What will you enjoy in this role? Will focus on designing, developing, and supporting all our online data solutions. This person will work closely with business Managers to design and build innovative solutions. What You'll Do: AI Integration & Development: Develop and optimize applications integrating Generative AI models, including AWS Bedrock models, Retrieval-Augmented Generation (RAG), and multi-agent systems, to enhance user experience and business processes. Backend Development: Design, implement, and maintain scalable and high-performance Python applications that utilize machine learning and AI models to solve real-world problems. AI Feedback Loops: Design and integrate real-time feedback systems to continuously improve the performance and accuracy of AI models, ensuring user-centric enhancements. Multi-Agent Systems: Develop and optimize multi-agent architectures where different AI agents collaborate and interact to achieve complex goals. Ensure efficient communication and decision-making across agents. Frontend Development: Collaborate with UI/UX teams to develop intuitive, scalable, and responsive web applications using Angular, enhancing user interaction with AI systems. Cloud Infrastructure: Leverage AWS services (specifically AWS Bedrock) and other cloud technologies to deploy, scale, and manage AI models in production, ensuring reliability and performance. System Design & Architecture: Lead the design of robust and scalable system architectures, ensuring seamless integration of front-end and back-end components with AI models and cloud infrastructure. Collaboration & Mentorship: Work closely with product managers, data scientists, and other engineers to understand business requirements, translate them into technical solutions, and mentor junior engineers. Continuous Learning & Innovation: Stay up-to-date with the latest trends in Generative AI, AWS Bedrock, multi-agent systems, and front-end technologies to continuously improve your skillset and bring innovative solutions to the team. Qualifications A bachelor’s degree in B.E/ B.Tech/ M.Tech in computer science or a related field or have equivalent experience. Experience : 5+ years of experience in Python software development with a strong focus on backend systems, cloud-native applications, or AI-powered solutions. Generative AI Expertise : Proven experience working with Generative AI technologies, including language models (e.g.,GPT-3/4), image generation models (e.g., GANs), or similar AI applications. Frameworks & Libraries : Proficiency in Python frameworks like Flask, Django, FastAPI, or others. Familiarity with machine learning libraries such as TensorFlow, PyTorch, or Hugging Face Transformers. AI/ML Deployment : Hands-on experience with deploying AI/ML models at scale in production environments using cloud platforms like AWS, GCP, or Azure. Cloud Technologies : Experience with cloud services (AWS, Google Cloud, Azure) for building scalable and resilient solutions. Software Design & Architecture : Strong understanding of software design patterns, microservices architecture, RESTful API development, and scalability principles. Problem Solving : Strong analytical and problem-solving skills, with the ability to break down complex tasks and deliver solutions in a timely manner. Collaboration & Communication : Excellent communication skills and the ability to work effectively in cross-functional teams, with a focus on mentoring and leadership. Nice-to-Have: Advanced AI Knowledge : Familiarity with cutting-edge Generative AI models (e.g., large-scale pre-trained models, deep reinforcement learning). DevOps & CI/CD : Experience with DevOps practices, containerization (Docker), and CI/CD pipelines for AI/ML workflows. Data Engineering Skills : Familiarity with data pipelines, ETL processes, and database technologies (SQL, NoSQL).

Company Description Cube is an early-stage Sequoia-funded startup. We are building a SAAS application leveraging the latest generative AI tech. Founded by alumni of Stanford, Wharton, and IITs, Cube is a generative AI startup based in Bengaluru. Cube helps multi-location businesses streamline online reputation management and customer care using ChatGPT technology. Backed by investors like Peak XV, Graph Ventures, and Angel investors, Cube is trusted by businesses in healthcare, real estate, hospitality, and storage. Website: https://www.cubehq.ai/ We are hiring a Graphic & Motion Designer to create visually compelling content, including both static and motion-based creatives. This role requires a strong grasp of traditional design principles while also leveraging AI tools for enhanced efficiency and creativity. If you have an eye for aesthetics and can blend AI-driven and non-AI design approaches, wed love to have you on board! Requirements 1-3 years of experience in graphic design and motion graphics. A Bachelor’s degree or equivalent in design, animation, or a related field. Proficiency in design tools like Photoshop, Illustrator, and InDesign. Strong skills in motion design and animation using After Effects & Premiere Pro. Ability to create engaging static graphics, motion graphics, and reels. Experience with AI-powered design and video generation tools (Runway, Kaiber, D-ID, Midjourney, etc.) while also being comfortable with traditional design workflows. A portfolio showcasing expertise in both static and animated content. Responsibilities Designing a mix of static and motion-based creatives for social media, marketing, and branding. Creating AI-generated reels and short-form video content while also working on traditional motion graphics. Collaborating with the marketing team to develop campaign creatives. Developing brand assets, presentations, and UI visuals. Editing and enhancing video content for various platforms. Ensuring a balance between AI-driven automation and hands-on design to maintain quality and creativity. Staying updated on design and AI trends to incorporate innovative approaches. Compensation : As per industry standards. Location : HSR Layout, Bangalore If you're passionate about crafting impactful visuals and want to explore the intersection of traditional and AI-driven design, we’d love to hear from you!

Role: Tech Lead in AI/ML Location: Pune Type: Permanent The Role: As our Tech Lead in AI/ML, you will play a crucial role in the hands-on development of mentoring peers and delivery of AI products powered by our internal AI models and machine learning pipelines. You'll identify new opportunities for AI solutions throughout the organization, and set the direction and roadmap required to implement MLOPS. You will partner with the team through the creation of AI models, and develop, and deploy LLM-based applications in production, evaluating and improving their performance and accuracy over time. Collaborating closely with Product, Research, and Engineering teams, youll ensure seamless integration of AI technologies into our products, setting new standards for data quality and model performance. Responsibilities: Design, develop, and maintain a AI/ML platform that is accurate, secure, and fast Lead workstreams within a lean and agile environment from requirements gathering to creating a plan of actionable tasks for the team Provide coaching, and mentorship to members of the data team on architecture, software development best practices, and new technologies Establish evaluation criteria for data quality tracking and production ML model tracking Partner with product, research, and engineering to ensure product changes integrate effectively . Required Qualifications: 6+ years in MLOps, ML engineering, MLOps, and data science with 2+ years leading and mentoring agile teams. Proven expertise in deploying essential MLOps components like CI/CD, model registry, and input loading. Skilled in creating and launching diverse models (statistical, LLM, GenAI, GPT 3.5/4.0) from POC to production. Proven ability to manage projects and programs, leading small teams (2-5 members) and directly handling data analysis, modeling, data pipeline setup, and MLOps Skilled in AIML, using platforms like AWS, Amazon Bedrock, and Snowflake, and proficient in Python, SQL, Tableau, and Alteryx 3+ years of experience working with Jupyter Notebooks, Git, GitHub, JIRA, and weights & biases, enhancing collaboration and version control in project development. Significant collaboration with research teams, contributing hands-on research skills that advance project outcomes . Previous experience working in Private Markets, Financial Services or FinTech space . Preferred Qualifications: 2+ years of Tech Lead and management experience; taking on role as player coach and providing mentorship. Experience migrating data sets and workflows between legacy data platforms and services. Familiarity with stream processing and event driven architecture Comfortable moving quickly and working in a fast-paced, agile XP, lean environment. Experience in leading offshore and nearshore teams is highly valued. If you are interested, please share your updated resume to me at heena.ruchwani@gspann.com

About the Company : Headquartered in California, U.S.A., GSPANN provides consulting and IT services to global clients. We help clients transform how they deliver business value by helping them optimize their IT capabilities, practices, and operations with our experience in retail, high-technology, and manufacturing. With five global delivery centers and 1900+ employees, we provide the intimacy of a boutique consultancy with the capabilities of a large IT services firm. Role: Senior AIML Engineer Experience : 6+ Yrs Location: Pune Skillsets- AIML , Gen AI, MLOps, AWS, Python, ML(Machine Learning), Data Science , SQL,AWS Job Summary: We are seeking a highly skilled and experienced Data Scientist with a strong background in machine learning, computer vision, natural language processing (NLP), generative artificial intelligence (AI), and cloud technologies. As a Data Scientist, you will be working for a client and driving the development and implementation of advanced data models and algorithms to extract meaningful insights from complex datasets. You will work closely with cross-functional teams, including engineers, researchers, and product managers, to design and deploy cutting-edge AI solutions that address our business needs. The ideal candidate will have a minimum of 3 years of real hands on experience in machine learning , with a proven track record of successfully delivering projects in computer vision, NLP, generative AI, and at least one cloud platform. The Role: As our Tech Lead in AI/ML, you will play a crucial role in the hands-on development of mentoring peers and delivery of AI products powered by our internal AI models and machine learning pipelines. You'll identify new opportunities for AI solutions throughout the organization, and set the direction and roadmap required to implement MLOPS. You will partner with the team through the creation of AI models, and develop, and deploy LLM-based applications in production, evaluating and improving their performance and accuracy over time. Collaborating closely with Product, Research, and Engineering teams, youll ensure seamless integration of AI technologies into our products, setting new standards for data quality and model performance. Responsibilities: Design, develop, and maintain a AI/ML platform that is accurate, secure, and fast Lead workstreams within a lean and agile environment from requirements gathering to creating a plan of actionable tasks for the team Provide coaching, and mentorship to members of the data team on architecture, software development best practices, and new technologies Establish evaluation criteria for data quality tracking and production ML model tracking Partner with product, research, and engineering to ensure product changes integrate effectively . Required Qualifications: 6+ years in MLOps, ML engineering, MLOps, and data science with 2+ years leading and mentoring agile teams. Proven expertise in deploying essential MLOps components like CI/CD, model registry, and input loading. Skilled in creating and launching diverse models (statistical, LLM, GenAI, GPT 3.5/4.0) from POC to production. Proven ability to manage projects and programs, leading small teams (2-5 members) and directly handling data analysis, modeling, data pipeline setup, and MLOps Skilled in AIML, using platforms like AWS, Amazon Bedrock, and Snowflake, and proficient in Python, SQL, Tableau, and Alteryx 3+ years of experience working with Jupyter Notebooks, Git, GitHub, JIRA, and weights & biases, enhancing collaboration and version control in project development. Significant collaboration with research teams, contributing hands-on research skills that advance project outcomes. Preferred Qualifications: 2+ years of Tech Lead and management experience; taking on role as player coach and providing mentorship. Experience migrating data sets and workflows between legacy data platforms and services. Familiarity with stream processing and event driven architecture Comfortable moving quickly and working in a fast-paced, agile XP, lean environment. Experience in leading offshore and nearshore teams is highly valued.

About the Company : Headquartered in California, U.S.A., GSPANN provides consulting and IT services to global clients. We help clients transform how they deliver business value by helping them optimize their IT capabilities, practices, and operations with our experience in retail, high-technology, and manufacturing. With five global delivery centers and 1900+ employees, we provide the intimacy of a boutique consultancy with the capabilities of a large IT services firm. Role: Senior AIML Engineer Experience : 6+ Yrs Location: Pune Skillsets- AIML , Gen AI, MLOps, AWS, Python, ML(Machine Learning), Data Science , SQL,AWS Job Summary: We are seeking a highly skilled and experienced Data Scientist with a strong background in machine learning, computer vision, natural language processing (NLP), generative artificial intelligence (AI), and cloud technologies. As a Data Scientist, you will be working for a client and driving the development and implementation of advanced data models and algorithms to extract meaningful insights from complex datasets. You will work closely with cross-functional teams, including engineers, researchers, and product managers, to design and deploy cutting-edge AI solutions that address our business needs. The ideal candidate will have a minimum of 3 years of real hands on experience in machine learning , with a proven track record of successfully delivering projects in computer vision, NLP, generative AI, and at least one cloud platform. The Role: As our Tech Lead in AI/ML, you will play a crucial role in the hands-on development of mentoring peers and delivery of AI products powered by our internal AI models and machine learning pipelines. You'll identify new opportunities for AI solutions throughout the organization, and set the direction and roadmap required to implement MLOPS. You will partner with the team through the creation of AI models, and develop, and deploy LLM-based applications in production, evaluating and improving their performance and accuracy over time. Collaborating closely with Product, Research, and Engineering teams, youll ensure seamless integration of AI technologies into our products, setting new standards for data quality and model performance. Responsibilities: Design, develop, and maintain a AI/ML platform that is accurate, secure, and fast Lead workstreams within a lean and agile environment from requirements gathering to creating a plan of actionable tasks for the team Provide coaching, and mentorship to members of the data team on architecture, software development best practices, and new technologies Establish evaluation criteria for data quality tracking and production ML model tracking Partner with product, research, and engineering to ensure product changes integrate effectively . Required Qualifications: 6+ years in MLOps, ML engineering, MLOps, and data science with 2+ years leading and mentoring agile teams. Proven expertise in deploying essential MLOps components like CI/CD, model registry, and input loading. Skilled in creating and launching diverse models (statistical, LLM, GenAI, GPT 3.5/4.0) from POC to production. Proven ability to manage projects and programs, leading small teams (2-5 members) and directly handling data analysis, modeling, data pipeline setup, and MLOps Skilled in AIML, using platforms like AWS, Amazon Bedrock, and Snowflake, and proficient in Python, SQL, Tableau, and Alteryx 3+ years of experience working with Jupyter Notebooks, Git, GitHub, JIRA, and weights & biases, enhancing collaboration and version control in project development. Significant collaboration with research teams, contributing hands-on research skills that advance project outcomes. Preferred Qualifications: 2+ years of Tech Lead and management experience; taking on role as player coach and providing mentorship. Experience migrating data sets and workflows between legacy data platforms and services. Familiarity with stream processing and event driven architecture Comfortable moving quickly and working in a fast-paced, agile XP, lean environment. Experience in leading offshore and nearshore teams is highly valued.

About the Company : Headquartered in California, U.S.A., GSPANN provides consulting and IT services to global clients. We help clients transform how they deliver business value by helping them optimize their IT capabilities, practices, and operations with our experience in retail, high-technology, and manufacturing. With five global delivery centers and 1900+ employees, we provide the intimacy of a boutique consultancy with the capabilities of a large IT services firm. Role: AI Operations (AI Ops) Engineer Experience : 8+ Yrs Location: Pune, Hyderabad, Gurugram Skillsets- Azure, Gen AI, MLOps, Python, ML(Machine Learning), Data Science , SQL Job Summary: AI Operations (AI Ops) Engineer AI Ops Engineer with a strong background in Python, API development, Large Language Models (LLM) concepts, ML Ops, Azure Cloud and AI operations with 8-10 years of experience working on advanced AI/ML systems, cloud infrastructure, and API integrations, with a focus on operationalizing AI models and maintaining robust systems for AI-driven applications. This role requires a combination of technical expertise in cloud computing, machine learning, and software engineering. Collaborate with IT operations and business teams to support business user issues, requests, Production support and deployments; advocate best practices and recommend technical solutions for improvements in usability of application and systems performance Key Responsibilities: Technical Operations: Review, Implement and support enterprise-level AI platforms and services to drive IT operation excellence. Ensuring that new use cases are onboarded smoothly and operationalized Optimization: Analyze business processes to identify areas for automation and work with business stakeholders and IT teams to determine requirements and design software bots to reduce operational toil. AI Ops & Model Deployment: Lead the operationalization and deployment of AI/ML models into production environments, ensuring they are highly available, scalable, and performant. Implement and monitor Continuous Integration (CI) and Continuous Deployment (CD) pipelines. Python Development: Design and develop Python-based solutions for automating and managing the lifecycle of AI/ML models, including data ingestion, model training, and real-time prediction workflows. API Integration: Build and maintain robust APIs for model serving and integration with other systems. Ensure seamless communication between models, data pipelines, and consumer applications. LLM Concepts and Implementation: Apply knowledge of Large Language Models (LLMs) to develop AI-driven applications and services, ensuring models are optimized and performing efficiently in production. ML Ops: Implement and maintain Machine Learning Operations (ML Ops) practices for version control, monitoring, logging, and debugging of AI/ML models in production. Support model retraining, versioning, and A/B testing. Cloud Infrastructure: Leverage Azure Cloud services for hosting and scaling AI applications, ensuring security, compliance, and performance. Implement infrastructure as code (IaC) using tools like Azure DevOps. Collaboration: Work closely with backend engineers, data engineers/developers, infrastructure engineers , operational SMEs and business stakeholders to tackle evolving challenges in the field of AI/ML to ensure AI solutions meet business requirements and performance benchmarks. Monitoring & Optimization: Continuously monitor the performance of deployed AI models and optimize them for efficiency, cost-effectiveness, and accuracy. Implement alerting and logging mechanisms by scripts or through observability solution. Documentation & Best Practices: Document AI Ops processes, Use cases, tools, and workflows. Establish and enforce best practices for managing AI models in production environments. Required Skills & Qualifications:(Python Developer + ML-Engineer + MLOPS+ Azure) Experience: 8-10 years of experience in software development, with a focus on AI/ML operations, cloud infrastructure, and DevOps practices. -Data ScienePython: Advanced proficiency in Python, including experience with AI/ML libraries such as TensorFlow, PyTorch, scikit-learn, and Pandas. MLOPS Engineer APIs: Strong experience in designing, developing, and maintaining RESTful APIs for AI/ML model deployment and integration. ML Ops: In-depth understanding of Machine Learning Operations, including model versioning, monitoring, deployment, and automation of ML workflows. Data Science LLM Concepts: Familiarity with Large Language Models (LLMs), including experience working with transformer-based models such as GPT, BERT, or T5. Data Engineer Azure Cloud: Hands-on experience with Azure Cloud services (Azure ML, Azure DevOps, Azure Functions, etc.) and cloud infrastructure management. DevOps & CI/CD: Proficient in setting up CI/CD pipelines for AI/ML models and using tools like Jenkins, GitLab, or Azure DevOps for automation. DE Data Management & Tools: Experience working with data storage and processing tools like Azure Blob Storage, Azure SQL Database, Kafka, or similar. Version Control: Expertise with Git and version control best practices for collaborative development of AI systems. Problem Solving: Strong analytical and troubleshooting skills, with the ability to identify root causes and optimize AI/ML models and systems. Communication & Collaboration: Excellent communication skills and the ability to work effectively in a cross-functional team environment. Preferred Skills: Cloud Certifications: Azure certifications such as Azure Solutions Architect, Azure AI Engineer, or Azure DevOps Engineer. Security & Compliance: Understanding of security best practices in AI model deployment and experience with secure handling of sensitive data in the cloud. Big Data Tools: Familiarity with big data processing frameworks (e.g., Apache Spark, Hadoop) and integration with AI/ML pipelines. Agile Methodologies: Experience working in Agile teams, with knowledge of Scrum, Kanban, or similar frameworks. Education: A Bachelor's or Masters degree in Computer Science, Engineering, Data Science, or a related field is preferred.

About the Company : Headquartered in California, U.S.A., GSPANN provides consulting and IT services to global clients. We help clients transform how they deliver business value by helping them optimize their IT capabilities, practices, and operations with our experience in retail, high-technology, and manufacturing. With five global delivery centers and 1900+ employees, we provide the intimacy of a boutique consultancy with the capabilities of a large IT services firm. Role: AI Operations (AI Ops) Engineer Experience : 8+ Yrs Location: Pune, Hyderabad, Gurugram Skillsets- Azure, Gen AI, MLOps, Python, ML(Machine Learning), Data Science , SQL Job Summary: AI Operations (AI Ops) Engineer AI Ops Engineer with a strong background in Python, API development, Large Language Models (LLM) concepts, ML Ops, Azure Cloud and AI operations with 8-10 years of experience working on advanced AI/ML systems, cloud infrastructure, and API integrations, with a focus on operationalizing AI models and maintaining robust systems for AI-driven applications. This role requires a combination of technical expertise in cloud computing, machine learning, and software engineering. Collaborate with IT operations and business teams to support business user issues, requests, Production support and deployments; advocate best practices and recommend technical solutions for improvements in usability of application and systems performance Key Responsibilities: Technical Operations: Review, Implement and support enterprise-level AI platforms and services to drive IT operation excellence. Ensuring that new use cases are onboarded smoothly and operationalized Optimization: Analyze business processes to identify areas for automation and work with business stakeholders and IT teams to determine requirements and design software bots to reduce operational toil. AI Ops & Model Deployment: Lead the operationalization and deployment of AI/ML models into production environments, ensuring they are highly available, scalable, and performant. Implement and monitor Continuous Integration (CI) and Continuous Deployment (CD) pipelines. Python Development: Design and develop Python-based solutions for automating and managing the lifecycle of AI/ML models, including data ingestion, model training, and real-time prediction workflows. API Integration: Build and maintain robust APIs for model serving and integration with other systems. Ensure seamless communication between models, data pipelines, and consumer applications. LLM Concepts and Implementation: Apply knowledge of Large Language Models (LLMs) to develop AI-driven applications and services, ensuring models are optimized and performing efficiently in production. ML Ops: Implement and maintain Machine Learning Operations (ML Ops) practices for version control, monitoring, logging, and debugging of AI/ML models in production. Support model retraining, versioning, and A/B testing. Cloud Infrastructure: Leverage Azure Cloud services for hosting and scaling AI applications, ensuring security, compliance, and performance. Implement infrastructure as code (IaC) using tools like Azure DevOps. Collaboration: Work closely with backend engineers, data engineers/developers, infrastructure engineers , operational SMEs and business stakeholders to tackle evolving challenges in the field of AI/ML to ensure AI solutions meet business requirements and performance benchmarks. Monitoring & Optimization: Continuously monitor the performance of deployed AI models and optimize them for efficiency, cost-effectiveness, and accuracy. Implement alerting and logging mechanisms by scripts or through observability solution. Documentation & Best Practices: Document AI Ops processes, Use cases, tools, and workflows. Establish and enforce best practices for managing AI models in production environments. Required Skills & Qualifications:(Python Developer + ML-Engineer + MLOPS+ Azure) Experience: 8-10 years of experience in software development, with a focus on AI/ML operations, cloud infrastructure, and DevOps practices. -Data ScienePython: Advanced proficiency in Python, including experience with AI/ML libraries such as TensorFlow, PyTorch, scikit-learn, and Pandas. MLOPS Engineer APIs: Strong experience in designing, developing, and maintaining RESTful APIs for AI/ML model deployment and integration. ML Ops: In-depth understanding of Machine Learning Operations, including model versioning, monitoring, deployment, and automation of ML workflows. Data Science LLM Concepts: Familiarity with Large Language Models (LLMs), including experience working with transformer-based models such as GPT, BERT, or T5. Data Engineer Azure Cloud: Hands-on experience with Azure Cloud services (Azure ML, Azure DevOps, Azure Functions, etc.) and cloud infrastructure management. DevOps & CI/CD: Proficient in setting up CI/CD pipelines for AI/ML models and using tools like Jenkins, GitLab, or Azure DevOps for automation. DE Data Management & Tools: Experience working with data storage and processing tools like Azure Blob Storage, Azure SQL Database, Kafka, or similar. Version Control: Expertise with Git and version control best practices for collaborative development of AI systems. Problem Solving: Strong analytical and troubleshooting skills, with the ability to identify root causes and optimize AI/ML models and systems. Communication & Collaboration: Excellent communication skills and the ability to work effectively in a cross-functional team environment. Preferred Skills: Cloud Certifications: Azure certifications such as Azure Solutions Architect, Azure AI Engineer, or Azure DevOps Engineer. Security & Compliance: Understanding of security best practices in AI model deployment and experience with secure handling of sensitive data in the cloud. Big Data Tools: Familiarity with big data processing frameworks (e.g., Apache Spark, Hadoop) and integration with AI/ML pipelines. Agile Methodologies: Experience working in Agile teams, with knowledge of Scrum, Kanban, or similar frameworks. Education: A Bachelor's or Masters degree in Computer Science, Engineering, Data Science, or a related field is preferred.

Requirement: 4-9 years of experience working in AI /Machine Learning Engineering role Proficient in Python, including Pandas and Numpy Strong experience with Generative AI and working knowledge of end-to-end pipeline involving LLMs, like OpenAI, Llama, Claude etc Working knowledge of NLP techniques for sentiment analysis, text summarisation, question-answering Deep knowledge of ML techniques, including linear algebra and statistics Understanding of object detection, tracking, semantic or instance segmentation in computer vision Experience with at least one deep learning framework (e.g., TensorFlow, PyTorch, Caffe, Keras) Proficient in software design patterns (e.g. writing abstract, reusable, and modular code) Experience with at least one cloud provider solution (AWS, GCP, Azure) Relevant working experience with Docker and Kubernetes is a big plus Ability to quickly prototype ideas and solve complex problems by adapting creative approaches Experience working in an AGILE development team. Excellent communication & presentation skills Outstanding analytical and problem-solving skills

Experience 2 yrs to 20 yrs Key Responsibilities: Develop and implement traditional machine learning algorithms. Deploy at least one model in a production environment. Write and maintain Python code for data science and machine learning projects. Preferred Qualifications: Knowledge of Deep Learning (DL) techniques. Experience working with Generative AI (GenAI) and Large Language Models (LLM). Exposure to LangChain

Job Title: Senior Dot Net Developer for a US Based MNC Organisation Location: Pan India Location Employment Type: Permanent Work Mode - Hybrid Mode of interview - Virtual Interview ( 2 rounds ) Years of experience - 5 - 13 years Notice period - Immediate - 15 days We are hiring Senior Dot Net Developer for a US Based MNC Organization for Pan India This is a fantastic opportunity for candidates with a strong background working as Senior Dotnet Developer Key Responsibilities: Strong Hands-on development experience in web development using ReactJS, Typescript, HTML5, CSS3, JavaScript, JQuery, and Bootstrap Framework. Programming Languages & Frameworks : Strong expertise in .Net Framework, C#, MVC, and ReactJS. Database Management : Proficiency in SQL Server for database design and optimization. Strong understanding of Object-Oriented Programming (OOP). Knowledge of RESTful services and API development. Experience applying SOLID Experience designing new systems/features from scratch and documenting them Experience working with, at least, the following Azure services: Azure storage (table, blob, queue), Key vault, Az SQL, Application insights, app services Experience designing RESTful APIs Exposure and Experience with Generative AI, Prompt engineering, NLM, LLM, etc., Design AI solutions and architectures that align with business goals. Develop and implement machine learning models and algorithms. Exposure and experience with ML.NET is preferred Preferred Skills : Familiarity with front-end design tools like CSS3, HTML5 and JavaScript frameworks. Experience in performance optimization and debugging techniques. Knowledge of Agile development methodologies. How to Apply: If you have the experience and skills required for this role, send your profiles to amish.solanki@delta-ssi.net Please fill in the details mentioned below Total Work Experience: Relevant Work Experience: Current CTC: Expected CTC: Current Location : Notice period ( Negotiable to how many days ) : If Serving /Served Notice period ( Last working Day ) : Current Company : Current payroll Organization : Alternate No : Date of Birth : Reason for Job Change :

Care Innovation Consulting PractitionerFind endless opportunities to solve our clients toughest challenges, as you work with exceptional people, the latest tech and leading companies across industries.Practice:Health & Public Service, Industry Consulting, Capability Network I Areas of Work:Healthcare Care Innovation | Level:Manager | Location:Gurgaon/Mumbai/Bangalore/ Hyderabad/Pune/Kolkata/Chennai | Years of Exp:7-12 yearsExplore an Exciting Career at AccentureAre you an outcome-oriented problem solver? Do you enjoy working on transformation strategies for global clients? Does working in an inclusive and collaborative environment spark your interest?Then, Accenture Strategy and Consulting is the right place for you to explore limitless possibilities.As a part of the Accenture Life Sciences and Health practice, our 4000+ practitioners across the globe, help our clients make a meaningful impact on patients' lives through New Science, novel medical technologies and better collaboration.Together, let's deliver more effective, affordable, personalized patient outcomes. In thispractice, you'll help drive our Healthcare clients' strategy and business planning efforts, with the following initiatives: Support small to medium-size teams to deliver management consulting projects for global clients. Help define commercial strategy, strategy implementation, market scoping, customer journeys, go-to-market strategy, and process improvement. Contribute as a part of pursuit teams, develop proposals and support efforts of the global sales team to win potential opportunities within the practice. Build the practice and track metrics. Also, develop assets and methodologies, pointof-view, research or white papers, internal tools or materials for use by larger community. Acquire skills that have utility across Health industry groups. Draw insights from complex financial and quantitative analysis and integrate these findings across work streams and come up with an overall plan to drive strategy and solution development. Structure and implement forecasting models and identify transformation opportunities. Identify company's key cost and value drivers and explain their priority and influence on business performance. Develop strategies and operating models focused on 1 or 2 business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact. Manage proposals and business development efforts and coordinates with other colleagues to create consensus driven deliverables. Execute a transformational change plan aligned with client's business strategy. Engage stakeholders in the change journey and build commitment for change. Demonstrates good sales acumen, apply client knowledge, Accenture sales, opportunity management and contract processes to structure high impact solutions for clients. Lead presentations for the entire project with the client. Advocate a point of view and orchestrates, address difficult questions during presentationsBring your best skills forward to excel in the role: Health Industry expertise with understanding of US healthcare ecosystem on how health insurance is offered, administered, serviced, and managed in different categories; and on how care delivery is managed across different settings and different channels End-to-end understanding of payer and/or provider functional value chain components Proven team handling skills with an ability to engage effectively with multiple stakeholders Ability to solve complex business problems and deliver client delight Strong writing skills to build point of views on current industry trends Good analytical and problem-solving skills with an aptitude to learn quickly Excellent communication, interpersonal and presentation skills Cross-cultural competence with an ability to thrive in a dynamic environmentRead more about us.Recent BlogsYour experience counts! MBA from Tier-1 B-Schools OR a postgraduate degree with rich experience of working in US healthcare consulting domain and/or payer/provider cost optimization and clinical innovation initiatives will be a good fit as well 7-12 years of relevant experience End-to-end understanding of payer and/or provider functional value chain components with focus on transformation engagements aligned to data-driven consulting (exposure to data analysis tools and claims/UM data), digital care/clinical ops enablement and related themes Qualifications Prior experience of working with US healthcare companies preferable or must have worked across engagements with US healthcare clients Exposure to Data Strategy and GenAI for Health Use Cases Should have project experience in any 3-5:o Clinical process assessment/redesigno Clinical cost reduction strategyo Acute/chronic care managemento Wellness and disease management programs; accreditations like NCQAo Intelligent utilization managemento Connected care and digital health productso Clinical value use case development, benefit assessment and implementationo Healthcare data sets, EMR/EHR and exposure to analytics tools and techniques Whats in it for you? An opportunity to work on transformative projects with key G2000 clients Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners and, business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everythingfrom how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge and capabilities Opportunity to thrive in a culture that is committed to accelerate equality for all. Engage in boundaryless collaboration across the entire organization.About Accenture:Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combiningunmatched experience and specialized skills across more than 40 industries and all business functions underpinned by the worlds largest delivery network Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With 624,000 people serving clients in more than 120 countries,

Role & responsibilities Key Responsibilities Develop and maintain web applications using Angular / React.js , .NET , and Python . Design, deploy, and optimize Azure native PaaS and SaaS services, including but not limited to Function Apps , Service Bus , Storage Accounts , SQL Databases , Key vaults, ADF, Data Bricks and REST APIs with Open API specifications. Implement security best practices for data in transit and rest. Authentication best practices SSO, OAuth 2.0 and Auth0. Utilize Python for developing data processing and advanced AI/ML models using libraries like pandas , NumPy , scikit-learn and Langchain, Llamaindex, Azure OpenAI SDK Leverage Agentic frameworks like Crew AI, Autogen etc. Well versed with RAG and Agentic Architecture. Strong in Design patterns – Architectural, Data, Object oriented Leverage azure serverless components to build highly scalable and efficient solutions. Create, integrate, and manage workflows using Power Platform , including Power Automate , Power Pages , and SharePoint . Apply expertise in machine learning , deep learning , and Generative AI to solve complex problems. Primary Skills Proficiency in React.js , .NET , and Python . Strong knowledge of Azure Cloud Services , including serverless architectures and data security. Experience with Python Data Analytics libraries : pandas NumPy scikit-learn Matplotlib Seaborn Experience with Python Generative AI Frameworks: Langchain LlamaIndex Crew AI AutoGen Familiarity with REST API design , Swagger documentation , and authentication best practices . Secondary Skills Experience with Power Platform tools such as Power Automate, Power Pages, and SharePoint integration. Knowledge of Power BI for data visualization (preferred). Preferred Knowledge Areas – Nice to have In-depth understanding of Machine Learning , deep learning, supervised, un-supervised algorithms. Qualifications Bachelor's or master's degree in computer science, Engineering, or a related field. 6~12 years of hands-on experience in full-stack development and cloud-based solutions. Strong problem-solving skills and ability to design scalable, maintainable solutions. Excellent communication and collaboration skills.