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Please find below job details : Role : AI/ML Experience : 4-8 years Location : Gurgaon Mode : Hybrid JOB DESCRIPTION : How will you contribute? Develop and implement AI models and pipelines, leveraging LLMs to address business needs. Design and deploy machine learning solutions on Azure, ensuring performance, scalability, and reliability. Use Python for data preprocessing, model development, and experimentation. Build and integrate REST APIs using Flask to enable seamless model access for other applications. Containerize models and applications with Docker to streamline deployment and improve portability. Collaborate with cross-functional teams to understand project goals and create custom AI solutions. Stay updated on the latest advancements in LLMs, and cloud technologies. Optimize models for accuracy, performance, and inference speed based on real-time data Qualifications : 4 - 8 years of experience in data science, working with LLMs models – across CPG, Retail, Supply Chain etc. – e.g. customer churn/retention, route optimization, inventory planning, market mix modelling, etc. Hands-on experience deploying AI/ML models on Azure and using cloud-based tools. Proficiency in Python , with experience in data manipulation, model building, and evaluation. Experience with Dockerization for deploying and managing AI applications. Knowledge of Flask to build lightweight APIs for model integration. Strong problem-solving skills, with the ability to translate business challenges into AI solutions. Good communication skills to work with stakeholders and present technical results effectively. Working knowledge in finance domain is a must.

About the Role Overview: Newton School of Technology is on a mission to transform technology education and bridge the employability gap. As India’s first impact university, we are committed to revolutionizing learning, empowering students, and shaping the future of the tech industry. Backed by renowned professionals and industry leaders, we aim to solve the employability challenge and create a lasting impact on society. We are currently looking for a Data Engineer + Subject Matter Expert – Data Mining to join our Computer Science Department. This is a full-time academic role focused on data mining, analytics, and teaching/mentoring students in core data science and engineering topics. Key Responsibilities: ● Develop and deliver comprehensive and engaging lectures for the undergraduate "Data Mining", “BigData” and “Data Analytics” courses, covering the full syllabus from foundational concepts to advanced techniques. ● Instruct students on the complete data lifecycle, including data preprocessing, cleaning, transformation, and feature engineering. ● Teach the theory, implementation, and evaluation of a wide range of algorithms for Classification, Association rules mining, Clustering and Anomaly Detections. ● Design and facilitate practical lab sessions and assignments that provide students with hands-on experience using modern data tools and software. ● Develop and grade assessments, including assignments, projects, and examinations, that effectively measure the Course Learning Objectives (CLOs). ● Mentor and guide students on projects, encouraging them to work with real-world or benchmark datasets (e.g., from Kaggle). ● Stay current with the latest advancements, research, and industry trends in data engineering and machine learning to ensure the curriculum remains relevant and cutting-edge. ● Contribute to the academic and research environment of the department and the university. Required Qualifications: ● A Ph.D. (or a Master's degree with significant, relevant industry experience) in Computer Science, Data Science, Artificial Intelligence, or a closely related field. ● Demonstrable expertise in the core concepts of data engineering and machine learning as outlined in the syllabus. ● Strong practical proficiency in Python and its data science ecosystem, specifically Scikit-learn, Pandas, NumPy, and visualization libraries (e.g., Matplotlib, Seaborn). ● Proven experience in teaching, preferably at the undergraduate level, with an ability to make complex topics accessible and engaging. ● Excellent communication and interpersonal skills. Preferred Qualifications: ● A strong record of academic publications in reputable data mining, machine learning, or AI conferences/journals. ● Prior industry experience as a Data Scientist, Big Data Engineer, Machine Learning Engineer, or in a similar role. ● Experience with big data technologies (e.g., Spark, Hadoop) and/or deep learning frameworks (e.g., TensorFlow, PyTorch). ● Experience in mentoring student teams for data science competitions or hackathons. Perks & Benefits: ● Competitive salary packages aligned with industry standards. ● Access to state-of-the-art labs and classroom facilities. To know more about us, feel free to explore our website: Newton School of Technology We look forward to the possibility of having you join our academic team and help shape the future of tech education!

Coditas Solutions is seeking a highly skilled and motivated Data Scientist to join our dynamic team. As a Data Scientist, you will play a key role in designing, implementing, and optimizing machine learning models and algorithms to solve complex business challenges. If you have a passion for leveraging AI and ML technologies to drive innovation, this is an exciting opportunity to contribute to groundbreaking projects. Roles and Responsibilities Design, implement, and optimize machine learning algorithms using R and Python. Work on developing predictive models and decision-making systems. Conduct exploratory data analysis to understand data patterns and insights. Collaborate with data engineers to ensure the availability and quality of data for model training. Deploy machine learning models into production environments. Collaborate with cross-functional teams to integrate models into existing systems. Continuously optimize and improve the performance of machine learning models. Stay updated on the latest advancements in ML algorithms and technologies. Work closely with software engineers to ensure seamless integration of AI/ML solutions. Collaborate with clients to understand their business requirements and customize solutions accordingly. Technical Skills Excellent programming skills with the ability to implement complex algorithms in Python or R. Experience with cloud-based platforms (AWS, Azure, GCP) for deploying machine learning models. Strong experience of minimum 5 years in developing and implementing machine learning algorithms. Experience with model deployment and integration into production systems. Hands-on experience with use of standard classical machine learning libraries such as Scikit learn, NLTK, OpenCV as well as deep learning libraries Tensorflow, PyTorch, Keras. Understanding of machine learning algorithms, techniques, and concepts (linear regression, logistic regression, decision trees, random forests, neural networks, etc.). Experience with data preprocessing, feature engineering, and model evaluation techniques of structured and unstructured data. Proven experience with identifying, creating and selecting relevant features or variables to enhance model performance. Ability to collaborate effectively with cross-functional teams. Previous experience working on real-world AI/ML projects. Should be focused on linear algebra, machine learning, and statistics & probability are preferred. Ability to have a basic knowledge of the LLMs and optimal use of the GenAI models. Strong problem-solving and critical-thinking skills. Excellent communication and collaboration skills.

Key Responsibilities: Develop and deploy machine learning and deep learning models Work on NLP, computer vision, or recommendation systems Optimize models for performance and scalability Stay updated with the latest AI research and trends Skills We’re Looking For: Strong Python programming skills Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn) Solid understanding of data preprocessing, model evaluation, and LOps Hands-on with tools like Pandas, NumPy, OpenCV, NLTK/spaCy Exposure to cloud platforms (AWS, GCP, Azure) is a plus Job Type: Full-time Pay: ₹20,000.00 - ₹30,000.00 per month Benefits: Provident Fund Ability to commute/relocate: Palarivattom, Kochi, Kerala: Reliably commute or planning to relocate before starting work (Preferred) Experience: AI: 2 years (Preferred) Work Location: In person Expected Start Date: 25/07/2025

Job Title: Data Scientist Job Location: Jaipur Experience: 2 to 5 years Job Description: We are seeking a highly skilled and innovative Data Scientist to join our dynamic and forward-thinking team. This role is ideal for someone who is passionate about advancing the fields of Classical Machine Learning, Conversational AI, and Deep Learning Systems, and thrives on translating complex mathematical challenges into actionable machine learning models. The successful candidate will focus on developing, designing, and maintaining cutting-edge AI-based systems, ensuring seamless and engaging user experiences. Additionally, the role involves active participation in a wide variety of Natural Language Processing (NLP) tasks, including refining and optimizing prompts to enhance the performance of Large Language Models (LLMs). Key Responsibilities: • Generative AI Solutions: Develop innovative Generative AI solutions using machine learning and AI technologies, including building and fine-tuning models such as GANs, VAEs, and Transformers. • Classical ML Models: Design and develop machine learning models (regression, decision trees, SVMs, random forests, gradient boosting, clustering, dimensionality reduction) to address complex business challenges. • Deep Learning Systems: Train, fine-tune, and deploy deep learning models such as CNNs, RNNs, LSTMs, GANs, and Transformers to solve AI problems and optimize performance. • NLP and LLM Optimization: Participate in Natural Language Processing activities, refining and optimizing prompts to improve outcomes for Large Language Models (LLMs), such as GPT, BERT, and T5. • Data Management s Feature Engineering: Work with large datasets, perform data preprocessing, augmentation, and feature engineering to prepare data for machine learning and deep learning models. • Model Evaluation s Monitoring: Fine-tune models through hyperparameter optimization (grid search, random search, Bayesian optimization) to improve performance metrics (accuracy, precision, recall, F1-score). Monitor model performance to address drift, overfitting, and bias. • Code Review s Design Optimization: Participate in code and design reviews, ensuring quality and scalability in system architecture and development. Work closely with other engineers to review algorithms, validate models, and improve overall system efficiency. • Collaboration s Research: Collaborate with cross-functional teams including data scientists, engineers, and product managers to integrate machine learning solutions into production. Stay up to date with the latest AI/ML trends and research, applying cutting-edge techniques to projects. Qualifications: • Educational Background: Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, Data Science, or any related field. • Experience in Machine Learning: Extensive experience in both classical machine learning techniques (e.g., regression, SVM, decision trees) and deep learning systems (e.g., neural networks, transformers). Experience with frameworks such as TensorFlow, PyTorch, or Keras. • Natural Language Processing Expertise: Proven experience in NLP, especially with Large Language Models (LLMs) like GPT, BERT, or T5. Experience in prompt engineering, fine-tuning, and optimizing model outcomes is a strong plus. • Programming Skills: Proficiency in Python and relevant libraries such as NumPy, Pandas, Scikit-learn, and natural language processing libraries (e.g., Hugging Face Transformers, NLTK, SpaCy). • Mathematical s Statistical Knowledge: Strong understanding of statistical modeling, probability theory, and mathematical optimization techniques used in machine learning. • Model Deployment s Automation: Experience with deploying machine learning models into production environments using platforms such as AWS SageMaker or Azure ML, GCP AI, or similar. Familiarity with MLOps practices is an advantage. • Code Review s System Design: Experience in code review, design optimization, and ensuring quality in large-scale AI/ML systems. Understanding of distributed computing and parallel processing is a plus. Soft Skills s Behavioural Qualifications: • Must be a good team player and self-motivated to achieve positive results • Must have excellent communication skills in English. • Exhibits strong presentation skills with attention to detail. • It’s essential to have a strong aptitude for learning new techniques. • Takes ownership for responsibilities • Demonstrates a high degree of reliability, integrity, and trustworthiness • Ability to manage time, displays appropriate sense of urgency and meet/exceed all deadlines • Ability to accurately process high volumes of work within established deadlines. Interested candidate can share your cv or reference at sulabh.tailang@celebaltech.com

Job Information Job Opening ID JRF520 Date Opened 07/23/2025 Job Type Full time Industry IT Services City Bangalore South State/Province Karnataka Country India Zip/Postal Code 560102 Job Description As a AI Engineer, your role typically involves programming. You would be responsible for the commitments in terms of time, effort and quality of work. You would likely be a part of a larger offshore team and are expected to work collaboratively with your peers onsite and offshore to deliver milestone/sprint-based deliverables. Typical activities that would be expected are Program and deliver as per the scope provided by the delivery leads/onsite managers. Actively participate in the discussions/scrum meetings to comprehend and understand your scope of work and deliver as per your estimates/commitments Proactively reach out to others when you need assistance and to showcase your work Work independently on your assigned work Requirements Should have experience in the below: Python (Advanced proficiency) PyTorch / TensorFlow (Model Development & Deployment) LangChain / LlamaIndex (LLM Orchestration) HuggingFace Transformers OpenAI, AWS Bedrock, Vertex AI, or Azure OpenAI APIs Vector Databases for RAG (Weaviate / Milvus / FAISS/mongodb) MongoDB / PostgreSQL (Structured Data Retrieval & Joins) Redis / DynamoDB (Fast Caching & Lookup) Kafka / RabbitMQ (Message Queues for Real-Time Inference) FastAPI / Flask (Backend APIs for ML Serving) Docker (Containerization for Model Inference) CI/CD Pipelines (GitHub Actions / GitLab CI / Jenkins) MLflow / Weights & Biases (Experiment Tracking & Model Management) S3 / GCS (Storage for Model Artifacts & Datasets) ElasticSearch / OpenSearch (Search over structured/unstructured text) Linting & Testing: Pytest, Black, Ruff, Flake8 Type Hinting, Documentation Standards, YAML/JSON Config Management LLM training - finetuning (PEFT), pre-training Should be familiar with at least two Gen AI platform like Amazon Bedrock, Copilot, Vertex, etc.. Should be familiar with at least two model like Claude, ChatGPT, Gemini, etc.. Should be familiar with RAG Model and Agentic AI model Architectural Requirements: Strong understanding of AI system design: data ingestion preprocessing model retrieval response Experience leading teams on LLM/NLP/ML projects end-to-end Excellent architectural decision-making & scalability mindset Familiarity with prompt engineering, evaluation metrics, and benchmarking Strong communication, documentation, and client-handling skills Benefits Insurance benefits for the self and the spouse, including maternity benefits. Ability to work on many products as the organization is focused on working with several ISVs. Monthly sessions to understand the directions of each function and an opportunity to interact with the entire hierarchy of the organization. Celebrations are a common place - physical or virtual. Participate in several games with your coworkers. Voice your opinions on topics other than your work - Chimera Talks. Hybrid working models - Remote + office

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description Job Summary:We are seeking a highly skilled and forward-thinking Senior Data Scientist to join our Automation Centre of Excellence within the Research & Analytics team. Expertise in Generative AI and Machine Learning. Adept at leading end-to-end development of high-performance GenAI/ML solutions that streamline complex business workflows and elevate analytical precision. This role demands deep expertise in Data Science, Generative AI (GenAI), Python programming and automation. The ideal candidate will lead the development of intelligent, scalable solutions that automate workflows, enhance decision-making, and unlock business value through advanced AI techniques. Awareness of Microsoft Power Platform is good to have.Roles and Responsibilities:Collaborate with cross-functional teams to identify automation opportunities and deliver AI-driven solutions.Design and implement end-to-end data science workflows using Python, integrating diverse data sources (on-premise and cloud).Lead the transformation of manual, Excel-based processes into robust, governed Python-based automation pipelines.Apply advanced data science techniques including data preprocessing, feature engineering, and model development.Leverage GenAI models (e.g., GPT, DALL·E, LLaMA) for content generation, data exploration, and intelligent automation.Build and deploy applications using Microsoft Power Platform (Power BI, Power Apps, and Power Automate).Integrate systems and automate workflows using WTW Unify.Ensure high standards of code quality, modularity, and scalability in Python development.Implement CI/CD pipelines using Azure DevOps for seamless deployment of data science solutions.Maintain data governance, quality, and compliance with organizational standards.Stay abreast of emerging trends in AI, GenAI, and data engineering to drive innovation.Technical Skills & Tools:Mandatory:Key Skills: Generative AI, Machine Learning, Deep Learning, NLPPython (Data Processing, Engineering, Automation)Libraries: Pandas, Numpy, Seaborn, Matplotlib, Scikit-learn, Tensorflow, Keras, OpenCV, NLTK, Spacy, Gensim, TextBlob, Fasttext, FastApiGenAI frameworks (e.g., OpenAI, Hugging Face, Meta AI, LangChain, LangGraph)Version Control & DevOps Tools: GitHub (CI/CD Actions), Azure DevOpsVersion control systems (ADO/Bitbucket)Preferred:R Programming, Posit Workbench, R ShinyKnowledge of Microsoft Power Platform, WTW UnifyFunctional Expertise:8+ years of experience in data science and GenAI projectsProven track record in deploying GenAI solutions in enterprise environments.Experience in the Insurance domain (e.g., Finance, Actuarial) is a plus.Strong communication skills to engage with technical and non-technical stakeholders. Qualifications Educational Qualifications:Master’s degree in Statistics, Mathematics, Economics, or Econometrics from Tier 1 institutionsOR BE/B-Tech, MCA, or MBA from Tier 1 institutions

Job Description Design, develop, and implement AI/ML models and algorithms. Focus on building Proof of Concept (POC) applications to demonstrate the feasibility and value of AI solutions. Write clean, efficient, and well-documented code. Collaborate with data engineers to ensure data quality and availability for model training and evaluation. Work closely with senior team members to understand project requirements and contribute to technical solutions. Troubleshoot and debug AI/ML models and applications. Stay up-to-date with the latest advancements in AI/ML. Utilize machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) to develop and deploy models. Develop and deploy AI solutions on Google Cloud Platform (GCP). Implement data preprocessing and feature engineering techniques using libraries like Pandas and NumPy. Utilize Vertex AI for model training, deployment, and management. Integrate and leverage Google Gemini for specific AI : Bachelor's degree in Computer Science, Artificial Intelligence, or a related field. 7+ years of experience in developing and implementing AI/ML models. Strong programming skills in Python. Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Good understanding of machine learning concepts and techniques. Ability to work independently and as part of a team. Strong problem-solving skills. Good communication skills. Experience with Google Cloud Platform (GCP) is preferred. Familiarity with Vertex AI is a plus. (ref:hirist.tech)

Associate Vice President (AVP) - AI/ML Technologies Hyderabad (Corporate Office) Job Summary The AVP will be responsible for driving the strategic vision, development, and implementation of AI/ML and Generative AI technologies within our platform. This role requires a deep understanding of AI/ML, experience with banking projects is preferred with a proven track record of leading technical teams. Key Responsibilities Leadership and Strategy : Define and drive the AI/ML and GenAI strategy in alignment with the company's overall vision and business goals. Lead and mentor a team of AI/ML engineers and data scientists, fostering a culture of innovation and excellence. Collaborate with cross-functional teams to integrate AI/ML and GenAI capabilities into our LCNC and Pro Code platform. Technical Expertise Oversee the design, development, and deployment of AI/ML models and GenAI technologies to solve complex business problems. Ensure the scalability, reliability, and performance of AI/ML solutions. Stay abreast of the latest advancements in AI/ML and GenAI technologies and evaluate their potential impact on our platform. Project Management Manage multiple AI/ML projects simultaneously, ensuring they are delivered on time, within scope, and within budget. Develop and maintain project plans, track progress, and report on project status to senior management. Stakeholder Engagement Work closely with internal stakeholders, including product management, engineering, and business development teams, to understand their needs and provide AI/ML solutions. Engage with external stakeholders, such as clients and partners, to demonstrate the value of our AI/ML capabilities. Compliance And Risk Management Ensure that all AI/ML initiatives comply with relevant regulations and industry standards. Identify and mitigate risks associated with AI/ML & Experience : Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. Ph.D. is a plus. 10 to 15 years of experience in AI/ML technologies, with a significant portion spent in the banking or financial services industry. Required Skills Proven leadership experience, including leading technical teams and managing complex projects. Strong expertise in machine learning algorithms, data analysis, natural language processing, and generative AI technologies. Hands-on experience with AI/ML frameworks and tools such as TensorFlow, PyTorch, scikit-learn, Keras, and others. Proficient in programming languages such as Python, R, and SQL. Experience with data preprocessing, feature engineering, and model evaluation techniques. Familiarity with MLOps practices and tools for model deployment, monitoring, and maintenance. Knowledge of cloud computing platforms and services (e.g., AWS, Azure, Google Cloud) for AI/ML workloads. Understanding of ethical AI principles and data privacy regulations. Excellent problem-solving skills and the ability to think strategically and analytically. Strong communication and interpersonal skills, with the ability to effectively convey technical concepts to non-technical stakeholders. Preferred Skills Experience with Low-Code/No-Code platforms. Knowledge of banking regulations and compliance requirements. Experience with big data technologies (e.g., Hadoop, Spark) and data visualization tools (e.g., Tableau, Power BI). Who are we ? Pennant Technologies is an agile, innovative financial technology company that powers the lending operations of global banks and financial institutions. Its suite of future ready lending products and solutions offer banks composable features and scalable capabilities to deliver differentiated loan origination, servicing and collections experiences for their customers. Trusted by leading banks and financial institutions in Asia, Pennants award-winning lending platform has managed more than 14 Million loans and facilitates 100 Million loan transactions per year. Pennant has received recognitions from global industry bodies and analyst firms including Deloitte Tech Fast 50 company, Gartner, IDC, Chartis, and nasscom among others. Pennant is a Great Place to Work certified company. Why work for Pennant Technologies ? At Pennant, we are reimagining the way financial institutions are driving their lending operations. As a leading lending technology company recognised by global institutions like Gartner and NASSCOM, top financial institutions across India, the Middle East, and Southeast Asia trust our solutions for their most critical operations. But what truly sets us apart is our people-first culturebuilt on strong values, collaboration, and a passion for excellence. Leveraging our strong engineering DNA with deep financial domain knowledge, were creating the next generation of financial technology products. Every demo, every proposal, every conversation is an opportunity to transform the way financial institutions lend. Ready to make a difference? (ref:hirist.tech)

Project Role : LLM Model Developer Project Role Description : Fine-tunes Large Language Models with emphasis on instruction fine-tuning and domain adaptation to enhance model relevance and performance in specific contexts. Must have skills : Large Language Models Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a LLM Model Developer, you will engage in the intricate process of fine-tuning Large Language Models, focusing on instruction fine-tuning and domain adaptation. Your typical day will involve collaborating with cross-functional teams to enhance model relevance and performance in specific contexts, ensuring that the models meet the diverse needs of various applications. You will analyze model outputs, iterate on training processes, and implement strategies to optimize performance, all while maintaining a keen awareness of the latest advancements in the field of artificial intelligence and machine learning. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Develop and implement innovative strategies for model fine-tuning and adaptation. - Mentor junior team members to enhance their skills and knowledge in model development. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Good To Have Skills: Experience with natural language processing frameworks. - Strong understanding of machine learning principles and practices. - Familiarity with data preprocessing techniques specific to language models. - Experience in evaluating model performance using various metrics. Additional Information: - The candidate should have minimum 5 years of experience in Large Language Models. - This position is based in Chennai. - A 15 years full time education is required.

Project Role : LLM Model Developer Project Role Description : Fine-tunes Large Language Models with emphasis on instruction fine-tuning and domain adaptation to enhance model relevance and performance in specific contexts. Must have skills : Large Language Models Good to have skills : NA Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a LLM Model Developer, you will engage in the intricate process of fine-tuning Large Language Models, focusing on instruction fine-tuning and domain adaptation. Your typical day will involve collaborating with cross-functional teams to enhance model relevance and performance in specific contexts, ensuring that the models meet the diverse needs of various applications. You will analyze model outputs, iterate on training processes, and implement strategies to optimize performance, all while maintaining a keen awareness of the latest advancements in the field of artificial intelligence and machine learning. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to foster their growth and development. - Continuously evaluate and implement best practices in model development and fine-tuning. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Good To Have Skills: Experience with natural language processing frameworks. - Strong understanding of machine learning principles and algorithms. - Familiarity with data preprocessing techniques specific to language models. - Experience in deploying models in production environments. Additional Information: - The candidate should have minimum 7.5 years of experience in Large Language Models. - This position is based in Chennai. - A 15 years full time education is required.

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 : Large Language Models Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into effective solutions that address real-world challenges. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Facilitate knowledge sharing and mentorship within the team to enhance overall performance. - Continuously evaluate and improve existing AI models and systems to ensure optimal performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Experience with cloud platforms and services for deploying AI solutions. - Familiarity with data preprocessing and augmentation techniques. - Ability to design and implement APIs for AI applications. Additional Information: - The candidate should have minimum 5 years of experience in Large Language Models. - This position is based at our Bengaluru office. - A 15 years full time education is required.

About InvestCloud InvestCloud is at the forefront of wealth technology, offering innovative solutions that redefine how the financial services industry operates. With a global presence and a client-first approach, we specialize in digital transformations powered by our flexible, modular technology. About The Team You will be joining the newly formed global AI, Data & Analytics team, as the lead Data Scientist in our India office. Your primary responsibility will be as a hands-on Data Scientist leading various projects. You will lead a small team locally and will operate as part of the global team. The new team is focused on driving increased value from the data InvestCloud captures to enable a smarter financial future for our clients, in particular focused on “enhanced intelligence”. Ensuring we have fit-for-purpose modern capabilities is a key goal for the team. We are seeking a Senior Data Scientist / Machine Learning Engineer with a strong background in Data Science, Machine Learning, and Generative AI models. The ideal candidate should have a proven track record in delivering business impact and delighting clients by developing and deploying ML and AI models in production, along with excellent problem-solving skills. In this role, you will integrate AI and ML solutions into the InvestCloud product suite. Some management experience is beneficial, but success in this role will primarily come from your data science delivery. Key Responsibilities Implement applications powered by Generative AI and Machine Learning models and deploy them in production Develop and maintain datasets and data pipelines to support Machine Learning model training and deployment Interpret results from Machine Learning models and communicate findings to both technical and non-technical stakeholders Stay updated with the latest advancements in Machine Learning, natural language processing, and generative AI. Analyze large datasets to identify patterns, trends, and insights that can inform business decisions. Work with 3rd party providers of AI products to evaluate and implement solutions achieving Investcloud’s business objectives. Lead a small team of data scientists in India Required Skills MSc degree in Mathematics, Statistics, Computer Science, Data Science, Machine Learning, or a related technical field or equivalent practical experience At least four years of professional experience in Data Science, Machine Learning and AI Outstanding communications skills in English High proficiency in programming in Python Knowledge of Machine Learning frameworks (TensorFlow, PyTorch, Scikit-learn) and LLM frameworks (e.g. Langchain) Knowledge of data preprocessing, feature engineering, and model evaluation metrics Experience using large language models, generative AI and agentic frameworks Experience in database technologies (Oracle, PostgreSQL) Experience working with Snowflake and/or Databricks or similar tools Working experience developing and deploying Machine Learning models in production Working experience with Git and Docker Ability to work in a fast-paced environment across multiple projects simultaneously Ability to collaborate effectively as a team player, fostering a culture of open communication and mutual respect. Practical, get-things done mentality within our controls environment. Preferred Skills Working experience with Vector Database Technologies Experience with cloud platforms such as AWS, GCP, or Azure What Do We Offer Join our diverse and international cross-functional team, comprising data scientists, product managers, business analyst and software engineers. As a key member of our team, you will have the opportunity to implement cutting-edge technology to create a next-generation advisor and client experience. Location and Travel The ideal candidate will be expected to work from our Bangalore office. Occasional travel may be required. Compensation The salary range will be determined based on experience, skills, and geographic location. Equal Opportunity Employer InvestCloud is committed to fostering an inclusive workplace and welcomes applicants from all backgrounds.

Job Title: AI/ML Engineer Location: Hybrid (Remote & Onsite) Job Type: Full-time Experience Level: Mid Job Summary: We are seeking a skilled AI/ML Engineer to design, develop, and implement machine learning models and AI-driven solutions. The ideal candidate will work closely with cross-functional teams to integrate AI into our products and services, ensuring efficiency and scalability. Key Responsibilities: Develop and deploy machine learning models and AI algorithms. Preprocess and analyze large datasets for training and validation. Optimize model performance and scalability in real-world applications. Design and implement AI-driven solutions for predictive analytics and automation. Collaborate with software engineers, data scientists, and domain experts to integrate AI solutions. Monitor and maintain deployed models, ensuring continuous improvements. Develop and maintain APIs for AI-driven chat responses and data ingestion. Ensure AI models are efficiently stored and retrieved from vector databases. Stay updated with the latest trends and advancements in AI and ML. Required Skills & Qualifications: Strong programming skills in Python. Experience with machine learning algorithms, deep learning, and data preprocessing techniques. Expertise in web frameworks, particularly FastAPI. Proficiency in working with structured and unstructured datasets. Experience with databases including MongoDB, PostgreSQL, and Weaviate (vector databases, semantic search, hybrid search, distance metrics). Strong understanding of Retrieval-Augmented Generation (RAGs) and Large Language Models (LLMs), including prompt engineering and NLP techniques. Knowledge of vector embeddings and semantic search. Experience in infrastructure management, including Docker, Kubernetes, and cloud platforms (GCP/Azure). Experience in MLOps and CI/CD for AI models. Ability to design and deploy Merchant-specific API endpoints for AI-driven chat responses and data ingestion. Strong problem-solving and analytical skills. Educational Qualifications: Bachelor’s/master’s degree in computer science, Artificial Intelligence, Data Science, or a related field. Preferred Experience: 2+ years of experience in AI/ML model development and deployment. Hands-on experience with large-scale data processing and model optimization. Experience in productionizing AI solutions in real-world applications. Experience with OpenAPI (Swagger) for API documentation an

About the Role: We are looking for a highly skilled and experienced Machine Learning / AI Engineer to join our team at Zenardy. The ideal candidate needs to have a proven track record of building, deploying, and optimizing machine learning models in real-world applications. You will be responsible for designing scalable ML systems, collaborating with cross-functional teams, and driving innovation through AI-powered solutions. Location: Chennai & Hyderabad Key Responsibilities: Design, develop, and deploy machine learning models to solve complex business problems Work across the full ML lifecycle: data collection, preprocessing, model training, evaluation, deployment, and monitoring Collaborate with data engineers, product managers, and software engineers to integrate ML models into production systems Conduct research and stay up-to-date with the latest ML/AI advancements, applying them where appropriate Optimize models for performance, scalability, and robustness Document methodologies, experiments, and findings clearly for both technical and non-technical audiences Mentor junior ML engineers or data scientists as needed Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or related field Minimum of 3 hands-on ML/AI projects, preferably in production or with real-world datasets Proficiency in Python and ML libraries/frameworks like TensorFlow, PyTorch, Scikit-learn, XGBoost Solid understanding of core ML concepts: supervised/unsupervised learning, neural networks, NLP, computer vision, etc. Experience with model deployment using APIs, containers (Docker), cloud platforms (AWS/GCP/Azure) Strong data manipulation and analysis skills using Pandas, NumPy, and SQL Knowledge of software engineering best practices: version control (Git), CI/CD, unit testing Preferred Skills: Experience with MLOps tools (MLflow, Kubeflow, SageMaker, etc.) Familiarity with big data technologies like Spark, Hadoop, or distributed training frameworks Experience working in Fintech environments would be a plus Strong problem-solving mindset with excellent communication skills Experience in working with vector database. Understanding of RAG vs Fine-tuning vs Prompt Engineering Why Join Us: Work on impactful, real-world AI challenges Collaborate with a passionate and innovative team Opportunities for career advancement and learning Flexible work environment (remote/hybrid options) Competitive compensation and benefits To Apply: Please send your resume, portfolio (if applicable), and a brief summary of your ML/AI projects to ranjana.g@zenardy.com

Location : Remote / Pune (Preferred) Engagement : 6–8 months Compensation : Competitive (based on experience & deliverables) Preference : Candidates from Tier 1 colleges and those with experience in the speech domain We’re looking for a skilled AI/ML Engineer with Speech Recognition expertise and MLOps experience to help build the core intelligence of this life-changing product. Responsibilities • Design and implement personalized speech correction systems using user-specific data. • Analyze low-quality audio and implement noise reduction, voice smoothing, and fluency correction techniques. • Fine-tune open-source ASR models like Whisper, DeepSpeech, or Wav2Vec2 for impaired speech in Marathi. • Train text-to-speech (TTS) models using tools like Coqui TTS, Google TTS APIs, or custom vocoders. • Perform data cleaning, preprocessing, augmentation (speech). • Develop reproducible training pipelines using PyTorch, TensorFlow, or scikit-learn. • Conduct model hyperparameter tuning. • Collaborate closely with product, design, and mobile development teams to integrate models effectively. • Ensure model generalization and robustness through continuous improvement and testing. Requirements • Proven experience in Speech Recognition (ASR) and/or Speech Synthesis (TTS). • Hands-on with PyTorch, TensorFlow, HuggingFace Transformers. • Familiarity with Librosa, Waveform manipulation, and audio signal processing. • Good command over Python, Git, and training pipeline setup. • Knowledge of language models, accent correction, or phoneme-level tuning. • Experience with custom dataset creation, augmentation, and weak supervision. • Experience working with Indian regional languages (plus point). Work Culture & Deliverables • You’ll be working directly with the founder (tech/product-led). • Weekly deliverables with clear outcomes and model benchmarks. • Ethical focus: user privacy, offline-first experience, and real-world usability

Experience Required: 3-5 years of hands-on experience in full-stack development, system design, and supporting AI/ML data-driven solutions in a production environment. Key Responsibilities Implementing Technical Designs: Collaborate with architects and senior stakeholders to understand high-level designs and break them down into detailed engineering tasks. Implement system modules and ensure alignment with architectural direction. Cross-Functional Collaboration: Work closely with software developers, data scientists, and UI/UX teams to translate system requirements into working code. Clearly communicate technical concepts and implementation plans to internal teams. Stakeholder Support: Participate in discussions with product and client teams to gather requirements. Provide regular updates on development progress and raise flags early to manage expectations. System Development & Integration: Develop, integrate, and maintain components of AI/ML platforms and data-driven applications. Contribute to scalable, secure, and efficient system components based on guidance from architectural leads. Issue Resolution: Identify and debug system-level issues, including deployment and performance challenges. Proactively collaborate with DevOps and QA to ensure resolution. Quality Assurance & Security Compliance: Ensure that implementations meet coding standards, performance benchmarks, and security requirements. Perform unit and integration testing to uphold quality standards. Agile Execution: Break features into technical tasks, estimate efforts, and deliver components in sprints. Participate in sprint planning, reviews, and retrospectives with a focus on delivering value. Tool & Framework Proficiency: Use modern tools and frameworks in your daily workflow, including AI/ML libraries, backend APIs, front-end frameworks, databases, and cloud services, contributing to robust, maintainable, and scalable systems. Continuous Learning & Contribution: Keep up with evolving tech stacks and suggest optimizations or refactoring opportunities. Bring learnings from the industry into internal knowledge-sharing sessions. Proficiency in using AI-copilots for Coding: Adaptation to emerging tools and knowledge of prompt engineering to effectively use AI for day-to-day coding needs. Technical Skills Hands-on experience with Python-based AI/ML development using libraries such as TensorFlow, PyTorch, scikit-learn, or Keras. Hands-on exposure to self-hosted or managed LLMs, supporting integration and fine-tuning workflows as per system needs while following architectural blueprints. Practical implementation of NLP/CV modules using tools like SpaCy, NLTK, Hugging Face Transformers, and OpenCV, contributing to feature extraction, preprocessing, and inference pipelines. Strong backend experience using Django, Flask, or Node.js, and API development (REST or GraphQL). Front-end development experience with React, Angular, or Vue.js, with a working understanding of responsive design and state management. Development and optimization of data storage solutions, using SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra), with hands-on experience configuring indexes, optimizing queries, and using caching tools like Redis and Memcached. Working knowledge of microservices and serverless patterns, participating in building modular services, integrating event-driven systems, and following best practices shared by architectural leads. Application of design patterns (e.g., Factory, Singleton, Observer) during implementation to ensure code reusability, scalability, and alignment with architectural standards. Exposure to big data tools like Apache Spark, and Kafka for processing datasets. Familiarity with ETL workflows and cloud data warehouse, using tools such as Airflow, dbt, BigQuery, or Snowflake. Understanding of CI/CD, containerization (Docker), IaC (Terraform), and cloud platforms (AWS, GCP, or Azure). Implementation of cloud security guidelines, including setting up IAM roles, configuring TLS/SSL, and working within secure VPC setups, with support from cloud architects. Exposure to MLOps practices, model versioning, and deployment pipelines using MLflow, FastAPI, or AWS SageMaker. Configuration and management of cloud services such as AWS EC2, RDS, S3, Load Balancers, and WAF, supporting scalable infrastructure deployment and reliability engineering efforts. Personal Attributes Proactive Execution and Communication: Able to take architectural direction and implement it independently with minimal rework with regular communication with stakeholders Collaboration: Comfortable working across disciplines with designers, data engineers, and QA teams. Responsibility: Owns code quality and reliability, especially in production systems. Problem Solver: Demonstrated ability to debug complex systems and contribute to solutioning. Key: Python, Django, Django ORM, HTML, CSS, Bootstrap, JavaScript, jQuery, Multi-threading, Multi-processing, Database Design, Database Administration, Cloud Infrastructure, Data Science, self-hosted LLMs Qualifications Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, or a related field. Relevant certifications in cloud or machine learning are a plus. Package: 6-11 LPA Job Types: Full-time, Permanent Pay: ₹600,000.00 - ₹1,100,000.00 per year Work Location: In person

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: Leadership & Strategy Lead and mentor cross-functional teams focused on AI/ML incubation and engineering enablement Define and drive the strategic roadmap for innovation initiatives and technical enablement Foster a culture of experimentation, rapid iteration, and continuous learning Incubation & Innovation Identify, evaluate, and incubate high-impact AI/ML ideas aligned with business goals Oversee the development of proof-of-concepts (PoCs) and prototypes to validate new technologies and approaches Collaborate with product, research, and business stakeholders to prioritize and refine ideas Engineering Enablement Build and scale internal platforms, tools, and frameworks to accelerate AI/ML development Establish best practices, coding standards, and reusable components for AI/ML engineering Provide technical guidance and support to engineering teams adopting AI/ML technologies Collaboration & Communication Act as a bridge between research, engineering, and product teams to ensure alignment and knowledge transfer Present technical concepts and project outcomes to executive leadership and stakeholders Promote knowledge sharing through documentation, workshops, and internal communities of practice Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field 10+ years of experience in software engineering with 3+ years in management Experience in React, JavaScript, TypeScript, Node.js, React Native, Java, Python, and Spring Boot Frameworks Experience in Data Management of RDBMS and NoSQL Experience in building/managing CI/CD pipelines of Jenkins, Github Actions etc. Proven experience in AI/ML technologies, including model development, deployment, and MLOps Solid understanding of cloud platforms (e.g. Azure, GCP) with hands-on experience on AWS and Terraforms Proven excellent communication, collaboration, and organizational skills Preferred Qualifications: Experience with LLMs, generative AI, or reinforcement learning Experience with agile methodologies and startup-like environments Familiarity with open-source AI/ML tools and frameworks (e.g., TensorFlow, PyTorch, MLflow) Knowledge of Machine Learning Algorithms: Supervised, unsupervised, reinforcement learning Knowledge of Model Evaluation: Precision, recall, F1-score, ROC-AUC Knowledge of Data Preprocessing: Feature engineering, normalization, handling missing data Knowledge of Responsible AI: Fairness, explainability (XAI), bias mitigation Knowledge of AutoML: Hyperparameter tuning, model selection automation Knowledge of Federated Learning & Edge AI: For privacy-preserving and low-latency applications Deep Learning: CNNs, RNNs, Transformers, GANs Background in innovation labs, R&D, or technical incubation environments At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

Job Description: About Us At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us! Global Business Services Global Business Services delivers Technology and Operations capabilities to Lines of Business and Staff Support Functions of Bank of America through a centrally managed, globally integrated delivery model and globally resilient operations. Global Business Services is recognized for flawless execution, sound risk management, operational resiliency, operational excellence and innovation. In India, we are present in five locations and operate as BA Continuum India Private Limited (BACI), a non-banking subsidiary of Bank of America Corporation and the operating company for India operations of Global Business Services. Process Overview Global Business Services delivers control functions responsible for providing assurance over data and processes used to record risk, P/L, balance sheet and financial results in support of Global Markets, Corporate Treasury and Corporate Investments businesses. There are seven GMO core functions that are critical in ensuring business process control: New Business Development, Trade Capture Substantiation, P&L Validation, Risk/Position Validation, Balance Sheet Substantiation, Event Monitoring, and Front-Back Process Oversight. The QS or Quantitative Services Team is part of the GBS. The Data Science Group is involved in Development, testing and monitoring of Machine Learning Models. Job Description Associate would be involved in entire Machine Learning Development Lifecycle. Responsibilities Collaborate with stake holders and identify opportunities for leveraging huge amount of unstructured financial data. Analyze and model structured data using statistical methods and implement algorithms and software needed to perform analyses Undertake preprocessing of structured/unstructured data and analyze information to discover trends/patterns. Present information using data visualization techniques. Coordinate with different teams to implement the models and monitor outcomes. Build machine learning models to automate processes and reduce operational overhead. Perform continuous model monitoring and model support. Build processes and tools for analyzing model performance and data accuracy. Requirements Education : Degree in Applied Math, Statistics, Computer Science or any other quantitative field from premier institutes Experience : 2.5 to 4 years Certifications (If any) : NA Foundational Skills : Strong technical skills including experience using Python/R and SQL or any object-oriented languages Familiarity with various machine learning algorithms and modelling techniques e.g. Regression (Linear and logit), Classification (SVM, Naïve Bayes,etc.) Banking domain is preferred but not required. Strong analytical/math skills (e.g. statistics, algebra) Familiarity with pandas, numpy, scikit-learn & scipy Basics of Visualization tools & techniques – eg. maptlotlib Desired Skills : Problem-solving aptitude Excellent communication and presentation skills Total Experience not more than 5 years and 2 Years of relevant experience should be preferred Work Timings : 12:00-9:00PM Job Location : Hyderabad

Key Responsibilities: Analyze, interpret, and mine data from various sources to identify trends and insights. Perform data cleaning and preprocessing to ensure accuracy and consistency. Organize and manage large datasets using Excel and other MS Office tools. Maintain and update data spreadsheets, ensuring data integrity. Assist in generating reports and presentations for stakeholders. Collaborate with team members and management to optimize data-driven strategies. Perform basic data mining techniques under guidance and supervision. Required Skills & Qualifications: Experience: 0-2 years in a similar role. Education: A relevant Bachelor’s degree from a recognized university (preferably in fields like Computer Science, Statistics, Mathematics, or related disciplines). Skills: Strong communication skills for clear reporting and collaboration. Proficiency in MS Office applications (Word, PowerPoint, etc.). Intermediate Excel skills (functions, data manipulation, charting). Good typing skills and attention to detail for efficient data handling. Preferred Qualifications: Certification in Excel (e.g., Microsoft Excel certification or similar) Job Type: Full-time Pay: ₹18,000.00 - ₹22,000.00 per month Schedule: Day shift Ability to commute/relocate: Delhi, Delhi: Reliably commute or planning to relocate before starting work (Required) Application Question(s): What is your current compensation? What is your expected compensation? Are you ok with New Delhi, Connaught Place location? Education: Bachelor's (Required) Experience: Data mining: 1 year (Required) Language: English (Required) Location: Delhi, Delhi (Required) Work Location: In person

About MostEdge MostEdge empowers retailers with smart, trusted, and sustainable solutions to run their stores more efficiently. Through our Inventory Management Service, powered by the StockUPC app , we provide accurate, real-time insights that help stores track inventory, prevent shrink, and make smarter buying decisions. Our mission is to deliver trusted, profitable experiences—empowering retailers, partners and employees to accelerate commerce in a sustainable manner. Job Summary: We are seeking a highly skilled and motivated AI/ML Engineer with a specialization in Computer Vision & Un-Supervised Learning to join our growing team. You will be responsible for building, optimizing, and deploying advanced video analytics solutions for smart surveillance applications , including real-time detection, facial recognition, and activity analysis. This role combines the core competencies of AI/ML modelling with the practical skills required to deploy and scale models in real-world production environments , both in the cloud and on edge devices . Key Responsibilities: AI/ML Development & Computer Vision Design, train, and evaluate models for: Face detection and recognition Object/person detection and tracking Intrusion and anomaly detection Human activity or pose recognition/estimation Work with models such as YOLOv8, DeepSORT, RetinaNet, Faster-RCNN, and InsightFace. Perform data preprocessing, augmentation, and annotation using tools like LabelImg, CVAT, or custom pipelines. Surveillance System Integration Integrate computer vision models with live CCTV/RTSP streams for real-time analytics. Develop components for motion detection , zone-based event alerts , person re-identification , and multi-camera coordination . Optimize solutions for low-latency inference on edge devices (Jetson Nano, Xavier, Intel Movidius, Coral TPU). Model Optimization & Deployment Convert and optimize trained models using ONNX , TensorRT , or OpenVINO for real-time inference. Build and deploy APIs using FastAPI , Flask , or TorchServe . Package applications using Docker and orchestrate deployments with Kubernetes . Automate model deployment workflows using CI/CD pipelines (GitHub Actions, Jenkins). Monitor model performance in production using Prometheus , Grafana , and log management tools. Manage model versioning, rollback strategies, and experiment tracking using MLflow or DVC . As an AI/ML Engineer, you should be well-versed of AI agent development and finetuning experience Collaboration & Documentation Work closely with backend developers, hardware engineers, and DevOps teams. Maintain clear documentation of ML pipelines, training results, and deployment practices. Stay current with emerging research and innovations in AI vision and MLOps. Required Qualifications: Bachelor’s or master’s degree in computer science, Artificial Intelligence, Data Science, or a related field. 3–6 years of experience in AI/ML, with a strong portfolio in computer vision, Machine Learning . Hands-on experience with: Deep learning frameworks: PyTorch, TensorFlow Image/video processing: OpenCV, NumPy Detection and tracking frameworks: YOLOv8, DeepSORT, RetinaNet Solid understanding of deep learning architectures (CNNs, Transformers, Siamese Networks). Proven experience with real-time model deployment on cloud or edge environments. Strong Python programming skills and familiarity with Git, REST APIs, and DevOps tools. Preferred Qualifications: Experience with multi-camera synchronization and NVR/DVR systems. Familiarity with ONVIF protocols and camera SDKs. Experience deploying AI models on Jetson Nano/Xavier , Intel NCS2 , or Coral Edge TPU . Background in face recognition systems (e.g., InsightFace, FaceNet, Dlib). Understanding of security protocols and compliance in surveillance systems. Tools & Technologies: Languages & AI - Python, PyTorch, TensorFlow, OpenCV, NumPy, Scikit-learn Model Serving - FastAPI, Flask, TorchServe, TensorFlow Serving, REST/gRPC APIs Model Optimization - ONNX, TensorRT, OpenVINO, Pruning, Quantization Deployment - Docker, Kubernetes, Gunicorn, MLflow, DVC CI/CD & DevOps - GitHub Actions, Jenkins, GitLab CI Cloud & Edge - AWS SageMaker, Azure ML, GCP AI Platform, Jetson, Movidius, Coral TPU Monitoring - Prometheus, Grafana, ELK Stack, Sentry Annotation Tools - LabelImg, CVAT, Supervisely Benefits: Competitive compensation and performance-linked incentives. Work on cutting-edge surveillance and AI projects. Friendly and innovative work culture. Job Types: Full-time, Permanent Pay: From ₹400,000.00 per year Benefits: Health insurance Life insurance Paid sick time Paid time off Provident Fund Schedule: Evening shift Monday to Friday Morning shift Night shift Rotational shift US shift Weekend availability Supplemental Pay: Performance bonus Quarterly bonus Work Location: In person Application Deadline: 25/07/2025 Expected Start Date: 01/08/2025

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY-Consulting – AI Enabled Automation – Senior - Full Stack Job Description: We are seeking a Senior Conversational Developer with extensive experience in designing and implementing complex solutions on Python, data engineering, JavaScript, ReactJS and node.JS. The ideal candidate should also have experience in conversational AI including leveraging Generative AI for developing chatbot solutions. Key Responsibilities: Lead the design, development, and deployment of applications. Write custom JavaScript code and integration with backend services. Collaborate with stakeholders to gather requirements and meet business needs. Test, debug, and refine to ensure optimal performance and user experience. Provide mentorship and code reviews for junior developers. Qualifications : Requires 3-5 years minimum prior relevant experience Bachelor's degree in computer science, Information Technology, or related field. Minimum of 5 – 8 years of experience in chatbot development. Advanced proficiency in JavaScript, including experience with asynchronous programming, AJAX, and API integrations. Knowledge of NLP and ML techniques in the context of conversational AI. Experience with other chatbot platforms is a plus. Strong problem-solving skills and the ability to work in a dynamic environment. Excellent communication skills for effective collaboration with technical and non-technical teams. A portfolio demonstrating successful chatbot projects is preferred. Skills : Strong skills in Python, JavaScript framework / related web technologies server-side programming such as node.JS and Azure cloud. Familiarity with API design and development, including RESTful APIs and web services. Experience with databases, including relational and understanding of NoSQL databases (e.g., MongoDB, Cassandra) for handling unstructured and semi-structured data Familiarity with the Conversational AI domain, conversational design & implementation, customer experience metrics, and industry-specific challenges Familiarity with NLP and ML applications in chatbots, feature extraction, entity extraction, intent classification etc. Understanding of conversational (chats, emails and calls) data and its preprocessing (including feature engineering if required) to train Conversational AI systems. Strong problem-solving, analytical and project management skills Excellent communication and collaboration skills to work effectively with cross-functional teams and stakeholders. Familiarity with Agile development methodologies and version control systems. Ability to stay updated with the latest advancements and trends EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

CONSULTANT Noida 7-9 Years INDIA Job Description (Posting). Lead the design, development, and deployment of Generative AI models and solutions on cloud platforms such as Microsoft Azure, AWS, or GCP.Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.Drive the end-to-end lifecycle of AI/ML projects, from data collection and preprocessing to model training, evaluation, and deployment.Mentor and guide junior team members, fostering a culture of continuous learning and innovation.Stay updated with the latest advancements in Generative AI and AI/ML technologies, and integrate them into ongoing projects.Optimize and fine-tune AI models for performance, scalability, and reliability.Develop and maintain comprehensive documentation for all AI/ML projects and processes.Qualifications:10-13 years overall IT experience. Out of which 3-4 years hands-on experience in AI/ML, and at least 1 year in Generative AI.Strong proficiency in Python programming and experience with AI/ML frameworks, models and algorithms. Strong experience with leading LLMs, RAG, agentic automation, and agent frameworks like Lang Chain, Lang Graph, AutoGen, AutoGPT for Generative AI use-cases.Hands-on experience in Gen AI observability & monitoring via tools like Lang SmithExperience with deep learning, CNN, NLP, text-to-speech, speech-to-text, OCR, and image processing techniques.Experience in Infrastructure related use-cases leveraging Autonomous Agents and/or agentic platform. Should have hands-on experience building Autonomous agents for Gen AI related use-cases.Extensive experience with cloud platforms (Microsoft Azure/AWS/GCP/IBM WatsonX) and their AI/ML services.Extensive experience in Prompt Engineering and ability to design and build Prompt libraries for various scenarios applicable in Infrastructure.Thorough understanding of Responsible AI best practices and standards and experience of implementing them in Gen AI related projectsProven track record of leading and delivering complex AI/ML projects.Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.Strong communication and leadership skills, with the ability to articulate technical concepts to non-technical stakeholders.Preferred Skills:Experience with natural language processing (NLP) and computer vision.Familiarity with MLOps practices and tools.Knowledge of data engineering and big data technologies. (1.) To adhere to quality standards, regulatory requirements and company policies (2.) To ensure positive customer experience and CSAT through First Call Resolution and minimum rejected resolutions / Reopen Cases (3.) To participate or contribute on EN business in creation of proposals to drive Service improvement plans. (4.) To independently resolve tickets & esnure that the agreed SLA of ticket volume and time are met for the team. (5.) To provide support for on call escalations /L3 level support and doing incident & problem management (6.) Work on value adding activities such Knowledge base update & management, Training freshers, coaching analysts & conducting interviews/participation in hiring drives. Qualification B-Tech No. of Positions 1 Skill (Primary) Data Science-Artificial Intelligence-Gen AI Auto req ID 1486356BR Skill Level 3 (Secondary Skill 1) Data Science-Artificial Intelligence-Azure OpenAI Skill Level 3 (Secondary Skill 2) Microsoft-Azure Analytics-Azure ML

Role Summary: We are seeking a highly skilled and hands-on AI/ML Engineer with 1+ years of experience in design, development, and deployment of cutting-edge generative AI solutions integrated with robust data engineering practices. The ideal candidate will work across our AI initiatives, including NLP, deep learning, and end-to-end ML/data pipelines Key Responsibilities ● AI/ML Architecture & Development ○ Implement and deploy machine learning models in production environments ○ Work with generative AI models and NLP techniques (e.g., OpenAI, Claude APIs) ○ Apply prompt engineering and retrieval-augmented generation (RAG) techniques ○ Build end-to-end ML workflows from data preprocessing to model evaluation ○ Contribute to the development of conversational AI solutions ● Software Engineering & Data Pipeline Development ○ Design, build, and maintain data pipelines and end-to-end ML workflows. ○ Build and deploy web services that integrate ML models ○ Implement APIs using frameworks like FastAPI or Flask ○ Work with databases (preferably MySql) and data processing tools ○ Ensure code quality, performance, and security in all implementations ● Deployment & Integration ○ Build production-grade ML models and APIs and deploy them on cloud platforms with the help of DevOps team. ○ Ability to Monitor, analyze, and optimize the performance of deployed models and data workflows with the help of Devops team ● Collaboration ○ Work closely with cross-functional teams including data scientists and software engineers ○ Contribute to a culture of learning and innovation ○ Adapt to challenges even when requirements are ambiguous Technical Requirements ● Programming & Frameworks: ○ Strong proficiency in Python with hands-on experience in TensorFlow, PyTorch, Keras, and related ML libraries/Ecosystem. ○ Experience with data science tools (pandas, NumPymatplotlib, scikit-learn) ● Generative AI Expertise: ○ Knowledge of generative AI models and frameworks, including OpenAI APIs, LangChain, LangGraph, Hugging Face Transformers, and related technologies. ○ Experience in fine-tuning large language models (LLMs) and implementing RAG systems leveraging vector databases like Pinecone or similar. ○ Experience in developing multi-agent Retrieval-Augmented Generation (RAG) applications, integrating automated workflows to streamline data retrieval, processing, and response generation. ● API Development: ○ Experience in developing and deploying APIs using frameworks like FastAPI or Flask. Qualifications : ● Bachelor’s degree in Computer Science, Engineering or related field. ● 3 years of hands-on experience in AI/ML engineering, with expertise in generative AI and data engineering. ● Excellent problem-solving, analytical, and communication skills. ● Ability to work independently in a fast-paced, dynamic environment while effectively collaborating with cross-functional teams.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY-Consulting – AI Enabled Automation – Senior - Full Stack Job Description: We are seeking a Senior Conversational Developer with extensive experience in designing and implementing complex solutions on Python, data engineering, JavaScript, ReactJS and node.JS. The ideal candidate should also have experience in conversational AI including leveraging Generative AI for developing chatbot solutions. Key Responsibilities: Lead the design, development, and deployment of applications. Write custom JavaScript code and integration with backend services. Collaborate with stakeholders to gather requirements and meet business needs. Test, debug, and refine to ensure optimal performance and user experience. Provide mentorship and code reviews for junior developers. Qualifications : Requires 3-5 years minimum prior relevant experience Bachelor's degree in computer science, Information Technology, or related field. Minimum of 5 – 8 years of experience in chatbot development. Advanced proficiency in JavaScript, including experience with asynchronous programming, AJAX, and API integrations. Knowledge of NLP and ML techniques in the context of conversational AI. Experience with other chatbot platforms is a plus. Strong problem-solving skills and the ability to work in a dynamic environment. Excellent communication skills for effective collaboration with technical and non-technical teams. A portfolio demonstrating successful chatbot projects is preferred. Skills : Strong skills in Python, JavaScript framework / related web technologies server-side programming such as node.JS and Azure cloud. Familiarity with API design and development, including RESTful APIs and web services. Experience with databases, including relational and understanding of NoSQL databases (e.g., MongoDB, Cassandra) for handling unstructured and semi-structured data Familiarity with the Conversational AI domain, conversational design & implementation, customer experience metrics, and industry-specific challenges Familiarity with NLP and ML applications in chatbots, feature extraction, entity extraction, intent classification etc. Understanding of conversational (chats, emails and calls) data and its preprocessing (including feature engineering if required) to train Conversational AI systems. Strong problem-solving, analytical and project management skills Excellent communication and collaboration skills to work effectively with cross-functional teams and stakeholders. Familiarity with Agile development methodologies and version control systems. Ability to stay updated with the latest advancements and trends EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.