282 Genai Jobs - Page 10

We are looking for candidates with strong programming skills, and a strong understanding of computer/distributed systems. We want people who love designing and building infrastructure components and large complex services. Requirements: Bachelor's or Master's degree in computer science or equivalent. Experience working with major cloud solutions AWS (preferred), Azure, and GCP. Candidates who have worked on distributed messaging systems will be preferred. Familiarity with 3-Tier, microservices architecture, and distributed systems. Experience with the design and development of RESTful services. Experience with developing Linux-based applications, networking, and scripting. Experience with different data stores, data modeling, and scaling them. Familiarity with data stores such as Aerospike, MySQL, MongoDB, etc. Experience with one of the OOP languages: Golang (preferred) / PHP (preferred) / Ruby / Python / C++. Good understanding of data structures, multi-threading, and concurrency concepts. Experience with DevOps tools like Jenkins, Ansible, Kubernetes, and Git is a plus. Familiarity with elastic search queries and visualization tools like grafana and Kibana. Strong networking fundamentals: Firewalls, Proxies, DNS, Loadbalancing, etc. Strong analytical and problem-solving skills. Excellent written and verbal communication skills. Team player, flexible, and able to work in a fast-paced environment. A "DevOps" mindset. You own what you will develop. Good-to-haves : Experience in telecom, related protocols, and product start-ups would be a plus. Exposure to telephony protocols, ISDN, SIP, and WebRTC. Practical Experience in managing Production scale systems. Experience in the development of cloud telephony systems (CPaaS) is a plus. Experience: 2-4 years.

Required Skills: Domain: Fintech (Banking / Lending, LOS, LMS, Collections) 6+ years of experience in AI/ML and Gen AI technologies. 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. Experience with big data technologies (e.g., Hadoop, Spark) and data visualization tools (e.g., Tableau, Power BI). Proficient in using version control systems like Git for collaborative development. Knowledge of deep learning techniques and frameworks for neural networks.

Deliver hands-on training on Gen AI, AI/ML, Python & Agentic Frameworks. Design engaging modules, real-world projects & coding workshops. Mentor participants, conduct assessments & Q&A. Stay updated on AI trends to enhance learning.

Role & responsibilities Understand the business requirements, develop the vision for the application and translate it into technical requirements. Design, build, and maintain advanced web applications using Python and frameworks such as Flask, FastAPI, and Django. Guide junior developers in their work Preferred candidate profile Hands-on developer with at least 3 years experience in Python frameworks like FastAPI, Django and Flask. Needs a startup mindset that he will do whatever is needed: backend, frontend, little bit of devops, design DB, QA etc. Has to be strong in logic and coding. Ability to manage frontend development in React and Angular. we do not hire people who say "I am a backend guy, I won't do frontend" Ability to understand client requirements, translate that to specific tasks, estimate, track and manage a development team Exposure to programming using GenAI APIs like OpenAI, Calude, Gemini We are not looking at experience in Data Science, ML. Good understanding of the key tools of modern development environments like Cursor, VSCode, Postgres/PgAdmin, Mysql/Workbench, git, github, basic DevOps, Linux, AWS, Azure... Perks and benefits You will be working in cutting edge AI applications. Industry overpar Salary

Job Summary: As a Data Expert at SS&C, you will play a key role in the Data Platform, shaping hedge fund administration technology, streamlining daily workflows, and enhancing reporting for fund accountants, investment managers, clients, and investors. Youll be part of a dedicated and passionate team driven by intellectual curiosity, problem-solving, and a commitment to delivering impactful solutions. We seek capable leaders eager to learn new technologies, embrace best practices, and foster a collaborative, fun work environment. Join us to grow and learn while practicing continuous integration and delivery, leveraging the agile methodology, and building high-quality, valuable features using a test-driven approach. Job Title: Lead Software Engineer Key Responsibilities: Lead the development of robust, high-performance web and generative AI applications. Architect, design, and implement scalable and secure solutions aligned with business objectives. Mentor and guide a team of developers, fostering a culture of continuous learning and improvement. Design and maintain APIs, including RESTful and GraphQL interfaces, ensuring seamless data exchange with third-party services. Implement and maintain CI/CD pipelines, utilizing automation tools for seamless deployment. Collaborate with cross-functional teams, including DevOps, Security, Data Science, and Product Management. Optimize application performance through efficient resource management, load balancing, and query optimization. Ensure compliance with industry security standards such as GDPR. Stay updated with emerging technologies, especially in Generative AI, Machine Learning, cloud computing, and microservices architecture. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 6+ years of hands-on experience in Python development, with expertise in Django, Flask, or FastAPI. Ability to design and build end-to-end applications and API integrations Proven experience with large language models (LLMs) and AI model development Experience with developing retrieval-augmented generation (RAG). Experience with GenAI tools like Langchain, LlamaIndex, and open-source Vector DBs. Exposure to prompt engineering principles and techniques like chain of thought, in-context learning, tree of thought, etc. Experience with relational databases such as MS SQL Server, PostgreSQL, and MySQL. Expertise in DevOps practices, including Docker, Kubernetes, and CI/CD tools like GitHub Actions. Deep understanding of microservices architecture and distributed computing principles. Strong knowledge of security best practices in software development. Familiarity with data analytics and visualization tools such as Snowflake, Looker, Tableau, or Power BI. Excellent problem-solving skills and the ability to work independently and within a team. Strong communication and stakeholder management skills. Location: Hyderabad (Hybrid Work Model)

Hi Candidates, We have Job openings in of or MNC Company Role & responsibilities Excellent communication skills and customer management skills 12+ years of deep technical expertise in distributed transactional scale & digital architectures. Experience in Solution Architecture Experience in Java or .NET and related frameworks Experience in GenAI, ChatGPT, LLM, RAG architectures Experience in CoPilot etc Experience in Cloud solutions. Either AWS or Azure or GCP Experience in Microservices and cloud native architectures Preferred candidate profile -Immediate to 15 days or serving Interested candidates can share details here to chandrakala.c@i-q.co

Job Summary This position provides leadership in full systems life cycle management (e.g., analyses, technical requirements, design, coding, testing, implementation of systems and applications software, etc.) to ensure delivery is on time and within budget. He/She directs component and data architecture design, technology planning, and testing for Applications Development (AD) initiatives to meet business requirements and ensure compliance. This position develops and leads AD project activities and integrations. He/She guides teams to ensure effective communication and achievement of objectives. This position researches and supports the integration of emerging technologies. He/She provides knowledge and support for applications development, integration, and maintenance. This position leads junior team members with project related activities and tasks. He/She guides and influences department and project teams. This position facilitates collaboration with stakeholders. Responsibilities: Leads systems analysis and design. Leads design and development of applications. Develops and ensures creation of application documents. Defines and produces integration builds. Monitors emerging technology trends. Leads maintenance and support. Primary Skiils: Senior App Developer on GenAI Projects - As a Senior GenAI developer you will participate in all aspects of the software development lifecycle which includes estimating, technical design, Build and test, implementation, documentation, code review, testing, deployment, and support of application developed. Performs System Design and build GenAI projects via Agile methodologies. As a member working in a team environment, you will work with solution architects and developers on deciphering solution designs into functional requirements, and subsequently into technical design. 7 plus Years of Experience and hands on experience in GenAI projects with Cloud computing platforms (preferably Google Cloud) working experience. Proficiency in languages such as, Python and/or scripting languages Hands on experience and exposure to different models in GenAI Knowledge of software version control systems such as Git Experience with containerization technologies such as Docker or Kubernetes Secondary Skills: Passionate coder with 7+ years of delivering solutions, preferably with a focus on end-to-end project life cycle, must demonstrate GenAI delivery experience. Knowledge and experience in developing software using agile methodologies as well as Scrum lead experience. Skilled problem solvers & critical thinker with the desire and proven ability to create innovative solutions. Proficient communicators who can explain and present concepts to technical and non-technical audiences alike, including high level decision makers. Excellent analytical and technical skills Excellent written and verbal communication skills) Excellent planning and organizational skills Excellent interpersonal skills in areas such as teamwork, facilitation Qualifications: Bachelors Degree or International equivalent Bachelor's Degree or International equivalent in Computer Science, Information Systems, Mathematics, Statistics, or related field - Preferred

Short Description: Ford Artificial Intelligence Advancement Center is looking for professionals experienced in NLP/LLM/GenAI, who are hands-on and can employ many NLP/Prompt engineering techniques from traditional statistical/ML NLP to DL-based sequence models and transformers in their day-to-day work. Description: You'll be working alongside leading technical experts from all around the world, on a variety of products involving Sequence/token classification, QA/chatbots, translation, semantic/search and summarization, among others. Responsibilities: Design NLP/LLM/GenAI applications/products by following robust coding practices, Explore SoTA models/techniques so that they can be applied for automotive industry usecases Conduct ML experiments to train/infer models; if need be, build models that abide by memory & latency restrictions, Deploy REST APIs or a minimalistic UI for NLP applications using Docker and Kubernetes tools. Showcase NLP/LLM/GenAI applications in the best way possible to users through web frameworks (Dash, Plotly, Streamlit, etc.,) Converge multibots into super apps using LLMs with multimodalities. Develop agentic workflow using Autogen, Agentbuilder, langgraph Build modular AI/ML products that could be consumed at scale. Qualifications: Education : Bachelors or master’s degree in computer science, Engineering, Maths or Science Performed any modern NLP/LLM courses/open competitions is also welcomed. Technical Requirements : Soft Skills : Strong communication skills and do excellent teamwork through Git/slack/email/call with multiple team members across geographies. GenAI Skills : Experience in LLM models like PaLM, GPT4, Mistral (open-source models), Work through the complete lifecycle of Gen AI model development, from training and testing to deployment and performance monitoring. Developing and maintaining AI pipelines with multimodalities like text, image, audio etc. Have implemented in real-world Chat bots or conversational agents at scale handling different data sources. Experience in developing Image generation/translation tools using any of the latent diffusion models like stable diffusion, Instruct pix2pix. Expertise in handling large scale structured and unstructured data. Efficiently handled large-scale generative AI datasets and outputs. ML/DL Skills : High familiarity in the use of DL theory/practices in NLP applications Comfort level to code in Huggingface, LangChain, Chainlit, Tensorflow and/or Pytorch, Scikit-learn, Numpy and Pandas Comfort level to use two/more of open source NLP modules like SpaCy, TorchText, fastai.text, farm-haystack, and others NLP Skills : Knowledge in fundamental text data processing (like use of regex, token/word analysis, spelling correction/noise reduction in text, segmenting noisy unfamiliar sentences/phrases at right places, deriving insights from clustering, etc.,) Have implemented in real-world BERT/or other transformer fine-tuned models (Seq classification, NER or QA) from data preparation, model creation and inference till deployment. Python Project Management Skills Familiarity in the use of Docker tools, pipenv/conda/poetry env Comfort level in following Python project management best practices (use of setup.py, logging, pytests, relative module imports,sphinx docs,etc.,) Familiarity in use of Github (clone, fetch, pull/push,raising issues and PR, etc.,) Cloud Skills and Computing : Use of GCP services like BigQuery, Cloud function, Cloud run, Cloud Build, VertexAI, Good working knowledge on other open-source packages to benchmark and derive summary. Experience in using GPU/CPU of cloud and on-prem infrastructures. Skillset to leverage cloud platform for Data Engineering, Big Data and ML needs. Deployment Skills : Use of Dockers (experience in experimental docker features, docker-compose, etc.,) Familiarity with orchestration tools such as airflow, Kubeflow Experience in CI/CD, infrastructure as code tools like terraform etc. Kubernetes or any other containerization tool with experience in Helm, Argoworkflow, etc., Ability to develop APIs with compliance, ethical, secure and safe AI tools. UI : Good UI skills to visualize and build better applications using Gradio, Dash, Streamlit, React, Django, etc., Deeper understanding of javascript, css, angular, html, etc., is a plus. Miscellaneous Skills : Data Engineering: Skillsets to perform distributed computing (specifically parallelism and scalability in Data Processing, Modeling and Inferencing through Spark, Dask, RapidsAI or RapidscuDF) Ability to build python-based APIs (e.g.: use of FastAPIs/ Flask/ Django for APIs) Experience in Elastic Search and Apache Solr is a plus, vector databases.

- Design and develop AI-based systems utilizing machine learning, programming & data analytics skills. - Create intelligent apps that can learn from data; maintain and update AI systems. - Test and evaluate AI models for accuracy & efficiency. Required Candidate profile - Strong background in machine learning and deep learning algorithms - Proficiency in programming languages such as Python, Java, or C++ - Experience with data analytics tools and techniques

Job Summary: We are seeking a passionate and experienced Data Scientist / Machine Learning Engineer with a strong foundation in Machine Learning, Deep Learning, and Generative AI (GenAI) . The ideal candidate will have hands-on experience with modern AI frameworks and libraries, a proven ability to design, develop, and deploy scalable ML solutions, and expertise in working with Large Language Models (LLMs). You will leverage your skills to drive impactful solutions, staying at the forefront of advancements in ML, DL, and GenAI. You will work on cutting-edge projects, incorporating the latest technologies into production-ready systems. If you are excited about advancing your career in a dynamic, innovation-driven environment, we invite you to join us! Key Responsibilities: • Develop, train, and fine-tune machine learning and deep learning models for diverse business use cases. • Work with Generative AI and LLMs, including customizing, fine-tuning, and deploying models for real-world applications. • Stay updated with the latest advancements in Machine Learning, Deep Learning, and Generative AI, and incorporate them into projects. Required Skills: • Machine Learning Frameworks: Proficiency in Scikit-learn, TensorFlow or PyTorch. • Deep Learning: Experience building and training deep learning models, including CNNs, RNNs, Transformers, and other architectures. • Generative AI: Hands-on experience with Generative AI models, including fine-tuning and deploying LLMs. • Programming: Strong skills in Python; familiarity with libraries like NumPy, pandas, and Matplotlib. • Data Handling: Experience working with structured and unstructured data, including text, images, and time-series. Good to have Skills: • Exposure to tools like Hugging Face Transformers for working with LLMs. • Understanding of MLOps practices, including CI/CD pipelines for ML models. • Experience with GPU-accelerated computing. • Experience with distributed training frameworks (e.g., Horovod, PyTorch Lightning). • Cloud Platforms: Familiarity with cloud services like AWS Qualifications: • Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, or a related field. • 1+ years of professional experience in Machine Learning and Deep Learning. • Proven track record of deploying ML/DL models in production environments

Full stack Developer with AI (AM) BLR / GGN / Noida J48771 Job Description- Fullstack Developers with GenAI experience in Azure or GCP ecosystems Expert in building large scale secure chat-based web applications Expert in setting up RAG and ingestion pipelines from source (e.g. sharepoint) to vector store (e.g. cogsearch) Expert in Python, Flask, FastAPI, LlamaIndex, Langchain, React, Angular, Vue. Fluent in Document Intelligent, API Management, Function/Logic Apps, Cosmo DB Strong problem-solving skills and attention to details Required Candidate profile Candidate Experience Should Be : 7 To 10 Candidate Degree Should Be : BE-Comp/IT,BE-Other,BTech-Comp/IT,BTech-Other,MBA,MCA

Role & responsibilities Hope akash meets the requirement. Design, develop, test, and deploy AI models and systems using various frameworks and tools. Monitor and evaluate the performance and accuracy of AI models and systems in production. Identify and troubleshoot issues related to data quality, model drift, scalability, and reliability. Optimize and automate the AI model lifecycle using MLOps best practices. Collaborate with data scientists, ML engineers, and business stakeholders to understand the requirements and objectives of AI projects. Research and implement new AI techniques and methodologies to improve the existing solutions and explore new opportunities. Research and Development: Stay abreast of the latest advancements in AI/GenIA, explore novel applications, and develop proof-of-concept projects. Model Selection and Fine-tuning: Select and fine-tune pretrained GenAI models (e.g., GPT4, LLaMa) for specific tasks, including text generation, image creation, code synthesis, etc. Data Exploration and Preparation: Prepare and analyze data sets for training and evaluation of GenAI models, ensuring data quality and addressing potential biases. Experimentation and Evaluation: Conduct experiments to assess the performance of GenAI models and compare different architectures and approaches. Application Integration: Develop and integrate GenAI models into existing or new applications, leveraging frameworks like LangChain for seamless orchestration. Collaborate with Cross-Functional Teams: Work closely with data scientists, software engineers, product managers, and designers to bring GenAI solutions to life. Contribute to Knowledge Sharing: Document your findings, share best practices, and contribute to the team's knowledge base. Preferred candidate profile Perks and benefits

Develop & deploy Generative AI models for business solutions Leverage NLP for text analytics & automation Lead a data science team, ensuring innovation & efficiency Collaborate with stakeholders for AI-driven strategies Required Candidate profile Drive AI adoption & ethical AI practices Skills: GenAI (Mandatory), NLP, People Management, Stakeholder Management.

Ability to design and implement workflows of Linear and Logistic Regression, Ensemble Models (Random Forest, Boosting) using R/Python. Demonstrable competency in Probability and Statistics, ability to use ideas of Data Distributions, Hypothesis Testing and other Statistical Tests. Must have experience in dealing with outliers, denoising data and handling the impact of pandemic like situations. Should be able to perform EDA of raw data & feature engineering wherever applicable. Demonstrable competency in Data Visualisation using the Python/R Data Science Stack. Should be able to leverage cloud platforms for training and deploying large scale solutions. Should be able to train and evaluate ML model using various machine learning and deep learning algorithm. • Retrain and maintain model accuracy in deployment. Should be able to package & deploy large scale models on on-premise systems using multiple approaches including docker. Should be able to take complete ownership of the assigned project. Experience of working in Agile environments • Well versed with JIRA or equivalent project tracking tool. Competencies /Skills Knowledge of cloud platforms (AWS, Azure and GCP). Exposure to No SQL databases (MongoDB, Cassandra, Cosmos DB, HBase). Forecasting experience in products like SAP, Oracle, Power BI, Qlik, etc. Proficiency in Excel (Power Pivot, Power Query, Macros, Charts). An experience with large data sets and distributed computing (Hive/Hadoop/Spark). Transfer learning using state of art models in different spaces vision, NLP and speech. - Integration with external services and Cloud API. Working with data annotation approaches and tools for text, images and videos

The Role: Dun & Bradstreet Technology and Corporate Services India LLP is looking for candidates for the role of Senior Analyst to support the Data Science team. The candidate needs to work closely with the team based in India and across a range of Analytics leaders who are located globally to fulfill the deliverables on a timely basis Key Responsibilities: Work across range of Analytical Solutions that includes Design, Development, Validation, Calibration, Documentation, Implementation, Monitoring, and Reporting Generate Analytical Insights by performing multiple analysis using Python/ Pyspark /Hadoop/ SQL/ etc. Develop Predictive Solutions using advanced statistical techniques to enable better decision making Support in different GenAI initiatives Utilize latest data science techniques across both supervised and unsupervised machine learning methodologies, NLP and development of new capabilities Serve as a Subject Matter Expert on using Machine Learning, Deep Learning, GenAI techniques Collaborate with Technology teams to implement analytical solutions and models Work with stakeholders in providing additional analysis based on specific needs Key Requirements: 5 to 8 years of relevant experience in Data Analytics / Data Science roles Strong programming skills in tools such as Pyspark, Python, R, SQL to manipulate data and conduct statistical analysis Knowledge of Python packages and tools Sound Knowledge and proven experience on application of Statistical / Machine Learning Techniques Sound knowledge in GenAI tools and techniques and should have experience in developing models Experience in BFSI domain / Statistical Modelling & Validation is an added advantage Ability to interpret and translate data into meaningful business insights Excellent verbal, written communication and presentation skills

What youll be doing: As the AI&D Principal AI Product Manager for Business Enablement Organization, you will be responsible for Business engagement, architecting and building innovative solutions by applying cutting edge data science techniques. Engaging closely with the business (Networks), understand problem statements and incubate ideas and models. Working in a Product team and having a product mindset Strong Network knowledge and experience Analytical skills and use case prioritization to build the roadmap at the product level in alignment with the business and stakeholders Discovering insights using data modeling and analysis techniques that will guide strategic decisions and uncover optimization opportunities. Creating data science driven solutions that drive product effectiveness, personalization, better customer experience and operational efficiencies. Working with a talented team of data analysts, software developers and data science professionals who will play a key role in developing and delivering the next generation AI/ML solutions to the business. Having a passion to understand domains, systems and be able to associate business opportunities to this understanding and create analytical solutions Working closely and engage with key business stakeholders in discussion on business strategies and opportunities where data science and AI can be leveraged. Cross-team collaboration Work closely with other AI & D pillars like AI Center, Data engineering and ML engineering and other groups Driving technical innovation through active research and applications of new theories, techniques, and technologies. Performing thorough data analysis, uncover opportunities and address business problems Being a subject matter expert on machine learning and predictive modeling and a mentor to junior data scientists. What were looking for: You have excellent analytical skills, and are eager to work in a collaborative environment with global teams to drive data science applications for business problems, develop end-to-end analytical solutions and communicate insights and findings to leadership. You have strong expertise in VCG digital sales, Retail and in driving use cases that drive personalization. You are always willing to learn new technologies. You thrive in a dynamic environment and are able to interact with various stakeholders and cross functional teams to implement data science driven business solutions. Youll need to have: Bachelors degree or four or more years of work experience. Six or more years of relevant work experience. Five or more years of experience practicing data science in business. Experience in working on a product team and with a Product mindset. Experience in working closely with the stakeholder to prioritize the use cases and build the roadmap. Extensive experience with AI solutioning in theNetworks related areas like workforce optimization, reliability, Energy optimization etc. Strong communication, presentation and collaboration skills. Strong Negotiation skills with the internal and external stakeholders. Assertive and objective decision-making skills with the drive to deliver and arrive at solutions. Experience in identifying business opportunities and build impactful data science driven use cases Excellent problem solving and critical thinking capabilities Experience using different statistical/modeling techniques Excellent working knowledge of SQL for data analysis and EDA using Python Experience in diagnosing business bottlenecks and providing prescriptive recommendation for stakeholders. Ability to create compelling narratives and articulate insights through strong storytelling skills. Experience working end to end in analytics projects. Ability to groom the team on business process and data analysis. Even better you have: Experience in leading data management and data analysis activities. Experience interacting and collaborating deeply with other lines of business & the ability to work across cross cultural teams Experienced with A/B and Multivariate testing, and should be able to provide recommendations accordingly. Expertise in performing thorough data analysis using database queries, spreadsheets, statistical packages & tools, and communicate results effectively Experience with dev-ops and agile models, as well as more traditional functional operating models. Ability to interact and provide executive level communications to senior management. Exposure to GenAI and Prompt engineering.

Infosys Generative AI Developer – India Position Overview: The Generative AI Developer is responsible for designing and developing Gen AI based solutions across different modal. This role involves leveraging the tools, frameworks and models, fine tuning of model, testing and deployment of the Gen AI solution. Key Responsibilities: Understand the architecture and design of Gen AI solutions, including data ingestion, processing, modeling, and deployment. Evaluate the framework, tools and models for building the solution Build and test Gen AI component/solution, POCs using framework and tools like Langchain, Llama Index, RAGAs etc. Experience in Prompt Engineering techniques, databases including SQL, Vector and Graph DB. Collaborate with cross-functional teams to understand requirements and develop AI / Gen AI solutions. Deployment of the AI/Gen AI solutions on different environment using AIOPs pipelines. Knowledge of Responsible AI principles and ways to implement it in solution, testing the solution against the defined principles. Experience in fine tuning the open-source model using various tuning techniques. Requires Skills: Strong programming skills in languages such as Python, and proficiency in LLM, RAG, Prompt Engineering, Fine Tuning, Vector DB, Embeddings, GPT 3.5, GPT 4, Open AI, Gemini, Zero shot, One shot and Few shot prompting, ReAct Prompting, Chain Of Thought. Excellent analytical and problem-solving skills. Strong communication skills to collaborate with cross-functional teams. Preferred Skills: Experience with natural language processing (NLP) for text generation projects. Familiarity with cloud platforms like AWS, Google Cloud, or Azure. Knowledge of ethical AI practices and considerations.

The Senior Manager, Data Science will lead a team of data scientists to develop advanced analytical models and drive data-driven decision-making across the organization. This role requires a strong blend of technical expertise, strategic thinking, and leadership skills. The Senior Manager will collaborate with cross-functional teams to identify business opportunities, design and implement innovative data solutions, and contribute to the companys overall strategic goals. Key Responsibilities: Leadership and Team Management: Lead, mentor, and develop a team of data scientists. Foster a culture of innovation, collaboration, and continuous learning. Set clear goals and performance expectations for the team. Strategy and Vision: Define and implement the data science strategy aligned with the companys objectives. Identify and prioritize data science projects that drive business value. Stay abreast of industry trends and emerging technologies to keep the organization at the forefront of data science. Technical Expertise: Oversee the development and deployment of machine learning models and algorithms. Ensure best practices in data modeling, coding, and experimental design. Provide technical guidance on complex data science projects. Collaboration and Communication: Work closely with business leaders to understand their needs and translate them into data science initiatives. Communicate findings and recommendations to both technical and non-technical stakeholders. Collaborate with data engineering, IT, and other departments to ensure data availability and integrity. Project Management: Manage multiple data science projects, ensuring timely and successful delivery. Allocate resources effectively and balance team workloads. Monitor project progress and make adjustments as needed. Performance Measurement: Develop metrics to measure the impact and effectiveness of data science initiatives. Continuously evaluate and refine models and strategies based on performance data. Report on key performance indicators to senior management. Qualifications: Education: Bachelors degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Masters or Ph.D. preferred. Experience: 7+ years of experience in data science or a related field. 3+ years in a leadership or managerial role within a data science team. Proven track record of delivering impactful data science solutions in a business context. Technical Skills: Expertise in statistical analysis, machine learning, and predictive modeling. Proficiency in programming languages such as Python, R, or SQL. Experience with data visualization tools like Tableau, Power BI, or similar. Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure). Soft Skills: Strong analytical and problem-solving abilities. Excellent communication and presentation skills. Ability to translate complex technical concepts into actionable business insights. Strong organizational and project management skills. Preferred Qualifications: Experience in [specific industry or domain relevant to the company]. Knowledge of deep learning, NLP, or other advanced AI techniques. Experience with Agile methodologies and project management tools.

Vidushi Infotech: Join a Dynamic Team and Shape the Future of Technology About us: Vidushi Infotech Software Solutions Provider Private Limited, founded in 2003 and headquartered in Pune, India, is a global digital transformation company with a direct presence in India, the USA, Panama, and New Zealand. This strategic presence allows us to provide focused support and tailored solutions to our clients in these key regions. Coupled with our indirect reach through strategic partnerships in over 90 other countries, we offer a truly global service network. With over 21 years of experience, we offer a comprehensive suite of IT solutions, encompassing high-quality web and mobile application development, as well as robust IT security services. Our expertise extends to cloud services, business applications, ERP, CRM, and disruptive technologies such as Blockchain, Artificial Intelligence, Machine Learning, IoT, Bots, and Data Science. We also provide comprehensive cybersecurity solutions. Serving a diverse global clientele across various industries, government agencies, and business segments, we cater to the evolving needs of businesses worldwide. Our reach spans North and South America, the UK, Europe, Africa, the Middle East, Asia, New Zealand, and Australia. Through strategic partnerships and tailored advice, we empower our customers to drive innovation, achieve sustainable growth, and build successful businesses. Our highly qualified and experienced management team leads a talented group of software engineers dedicated to delivering world-class products and services. At Vidushi Infotech, we are committed to excellence in all that we do, and we strive to provide exceptional value to our clients. Key Benefits: Career Growth: Advance your skills and take on challenging projects. Collaborative Culture: Work with a passionate and supportive team. Global Impact: Contribute to innovative solutions that serve clients worldwide. Cutting-Edge Technology: Stay at the forefront of technological advancements. Competitive Compensation: Enjoy competitive salaries and benefits. Ready to make a difference? Join Vidushi Infotech and embark on a rewarding career journey. AI Engineer For the Data Engineer - looking for a Data Engineer for the ROTP Program with 5+ years of experience in data engineering. Candidate should have hands-on experience with Python, Spark, SQL and the Azure stack along with a good understanding of data engineering concepts. Experience with Palantir is a plus. For the Software/AI Engineer - essential skills needed: Strong Python coding skills (OOP, testing etc.) Prompt engineering experience (one shot, few shot prompting etc.), Experience in deploying web app using typical frameworks and tools (flask, fastAPI etc.) Understand concepts of agents in Gen AI tools

Responsibilities: 1. Design and Develop AI-Powered Products: Collaborate with cross-functional teams to design and develop AI-powered products that meet business requirements. Use foundational language models (e.g., BERT, RoBERTa, XLNet) and Transformer Architecture to build and train custom models for various applications. Experiment with different architectures, hyperparameters, and training techniques to optimize model performance. 2. Develop and Train Custom Models: o Develop and train custom models using large-scale datasets and state-of-theart techniques (e.g., transfer learning, few-shot learning). Fine-tune pre-trained language models for specific downstream tasks (e.g., sentiment analysis, question answering). Evaluate model performance using metrics such as accuracy, precision, recall, and F1-score. 3. Experimentation and Failure Analysis: Design and execute experiments to validate hypotheses about AI-powered product performance. Analyze results, identify areas for improvement, and propose changes to the product or solution. Collaborate with the team to implement design changes and iterate on the product development process. 4. Scaling Solutions: Develop and deploy scalable solutions that can handle large volumes of data and traffic. Optimize model performance for production environments using techniques such as model pruning, knowledge distillation, or quantization. Collaborate with infrastructure teams to ensure seamless deployment and maintenance of AI-powered products. 5. Knowledge Sharing and Collaboration: Share expertise and knowledge with colleagues through regular meetups, workshops, and blog posts. Participate in code reviews, provide feedback on peers' work, and contribute to open-source projects. Collaborate with other teams (e.g., data science, product management) to ensure alignment and effective communication. Technical Skills: o Strong foundation in deep learning, natural language processing, and computer vision. o Experience with foundational language models (e.g., BERT, RoBERTa, XLNet) and their applications. o Familiarity with popular deep learning frameworks (e.g., TensorFlow, PyTorch). o Knowledge of large-scale data storage and processing systems (e.g., Hadoop, Spark).

AI & ML Model Development: •Execute PoCs and MVPs for AI and ML projects, focusing on practical implementation. •Develop and refine ML models, including supervised and unsupervised learning algorithms. •Build and deploy GenAI solutions, such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, and chatbots. •Collaborate with AI Engineers to integrate models into enterprise applications. Data Handling & Preprocessing: •Collect, clean, and preprocess data to ensure quality inputs for model training. •Conduct exploratory data analysis (EDA) to uncover insights and inform model development. •Work with Data Engineers to ensure smooth data pipelines and infrastructure. Model Evaluation & Optimization: •Evaluate model performance using appropriate metrics and fine-tune algorithms for optimal results. Technical Skills: •Proficient in Python and SQL for data manipulation and model development. •Familiarity with ML frameworks and libraries such as scikit-learn, TensorFlow, or PyTorch. •Experience with data visualization tools (e.g., Matplotlib, Seaborn) and EDA techniques. •Basic understanding of MLOps tools like MLflow, Airflow, or similar is an advantage. •Exposure to cloud platforms (Azure, AWS, GCP) for AI/ML model deployment is a plus. SKILLS Gen AI Lang chain Llama Working experience with Text, Multi Model, and images

AI/ML Engineer LLM PII Detection Department: Data Science / AI Engineering Role Overview We are seeking a skilled AI/ML Engineer to join our team focused on building and fine-tuning local LLM models for PII detection at scale (50+ PB of data). In this role, you will work closely with our AI Expert (Team Lead) to develop, deploy, and optimize state-of-the-art AI models that can detect Personally Identifiable Information (PII) across diverse data sources—including documents, databases, knowledge graphs, code, and more. Key Responsibilities Model Development: Assist in designing, training, and fine-tuning local LLM models for PII detection. Develop generative AI agents that utilize data schema and metadata to enhance PII detection process - reducing workload sizes with smart sampling. Framework Implementation: Utilize frameworks such as Ray, llama.cpp, ollama, vLLM, and PyTorch to build and scale AI models. Implement and support distributed computing frameworks to process and analyze large-scale datasets efficiently. Deployment & Optimization: Support the deployment of AI/ML solutions on both Azure and on-premise infrastructures. Monitor model performance, troubleshoot issues, and iterate to ensure optimal performance with evolving data. Collaboration: Work collaboratively with cross-functional teams—including data engineering, security, and compliance—to align AI solutions with business needs. Participate in code reviews, share insights, and document best practices to maintain high standards across projects. Continuous Improvement: Engage in ongoing learning and development of new AI methodologies. Contribute to the enhancement of model robustness and scalability, ensuring our systems handle 50+ PB of data reliably. Technical Proficiency: Hands-on experience with Python and ML frameworks (especially PyTorch). Familiarity with distributed computing tools such as Ray/Pyspark. Experience with LLM frameworks/tools such as llama.cpp, ollama, and vLLM. Data Handling: Ability to work with very large datasets and implement scalable, distributed solutions. Prior exposure to AI model development and fine-tuning for specialized tasks. Deployment Expertise: Experience deploying AI/ML models on Azure cloud platforms and/or on-premise environments. Communication & Collaboration: Strong communication skills to effectively collaborate with team members and cross-functional stakeholders. A proactive approach to problem-solving and a commitment to quality. Experience in PII detection, data privacy projects, or related fields. Basic understanding of data security and compliance frameworks. Familiarity with generative AI techniques and prompt engineering. Previous exposure to the fintech, payments, or security domains is a plus.

Must Have: Proven experience as a DevOps Engineer with a focus on cloud platforms, specifically AWS and Azure. Strong expertise in managing and deploying applications on cloud platforms using IaC tools. Experience with CI/CD tools such as GitHub Actions, Jenkins, GitLab CI, or Azure DevOps. Proficiency in scripting languages such as Python, Bash, or PowerShell. Experience with containerization and orchestration tools like Docker, Amazon ECS, and Kubernetes. Familiarity with GenAI applications and platforms, particularly RAG and Agentic. Strong problem-solving skills and the ability to work independently and as part of a team. Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. Relevant certifications in AWS, Azure, or DevOps practices are a plus.

Job Description: Designing, developing, and implementing generative AI models and algorithms utilizing state-of-the-art techniques such as GPT, VAE, and GANs. Collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals. Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services. Optimizing existing generative AI models for improved performance, scalability, and efficiency. Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation. Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders. Contributing to the establishment of best practices and standards for generative AI development within the organization. Providing technical mentorship and guidance to junior team members. Key Requirements: Min. 5-8 yrs of relevant experience At least 1-2 years of experience in leading a team of developers Solid consulting mindset, who has the ability to lead from the front You have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. You have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. You are proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras. You have strong knowledge of data structures, algorithms, and software engineering principles. You are familiar with cloud-based platforms and services, such as AWS, GCP, or Azure. You have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face. You are familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly.

Extensive experience with AWS services, including but not limited to Lambda, EC2, S3, RDS, CloudFormation, IAM, Redshift, Fargate, EKS, and Bedrock,Python ,Fastapi,Django,Flask Extensive knowledge in Gen AI monitoring tools like W&B / LangSmith