861 Nlp Jobs - Page 10

Amplework Software is a full-stack development agency based in Jaipur (Rajasthan), IND, specializing in end-to-end software development solutions for clients worldwide. We are dedicated to delivering high-quality products that align with business requirements and leverage cutting-edge technologies. Our expertise encompasses custom software development, mobile applications, AI-driven solutions, and enterprise applications. Join our innovative team that drives digital transformation through technology. We are looking for a Mid-Level Python and AI Engineer to join our team. In this role, you will assist in building and training machine learning models using frameworks such as TensorFlow, PyTorch, and Scikit-Learn. You will experiment with pre-trained AI models for NLP, Computer Vision, and Predictive Analytics. Additionally, you will work with structured and unstructured data, collaborate with data scientists and software engineers, and continuously learn, experiment, and optimize models to enhance performance and efficiency. Ideal candidates should possess a Bachelor's degree in Computer Science, Engineering, AI, or a related field and proficiency in Python with experience in writing optimized and clean code. Strong problem-solving skills, understanding of machine learning concepts, and experience with data processing libraries are required. Familiarity with AI models and neural networks using frameworks like Scikit-Learn, TensorFlow, or PyTorch is essential. Preferred qualifications include experience with NLP using transformers, BERT, GPT, or OpenAI APIs, AI model deployment, database querying, and participation in AI-related competitions or projects. Soft skills such as analytical thinking, teamwork, eagerness to learn, and excellent English communication skills are highly valued. Candidates who excel in problem-solving, possess a willingness to adapt and experiment, and prefer a dynamic environment for AI exploration are encouraged to apply. A face-to-face interview will be conducted, and applicants should be able to attend the interview at our office location. Join the Amplework Software team to collaborate with passionate individuals, work on cutting-edge projects, make a real impact, enjoy competitive benefits, and thrive in a great working environment.,

You will be joining a forward-thinking team at Tecblic, a company specializing in delivering AI-driven solutions to empower businesses in the digital age. If you are passionate about Large Language Models (LLMs), machine learning, and pushing the boundaries of Agentic AI, we welcome you to be a part of our innovative team. As a Machine Learning Engineer at Tecblic, your key responsibilities will include conducting research and development to design and fine-tune machine learning models, with a specific focus on LLMs and Agentic AI systems. You will be responsible for optimizing pre-trained LLMs for domain-specific use cases, collaborating with software engineers and product teams to integrate AI models into customer-facing applications, and performing data preprocessing, pipeline creation, feature engineering, and exploratory data analysis for dataset preparation. Additionally, you will design and implement model deployment pipelines, prototype innovative solutions using cutting-edge techniques, and provide technical mentorship to junior team members. In terms of core technical skills, we require proficiency in Python for machine learning and data science tasks, expertise in ML frameworks and libraries like PyTorch, TensorFlow, and Hugging Face, a solid understanding of LLMs such as GPT, T5, BERT, or Bloom, experience in NLP tasks, knowledge of deep learning architectures, strong data manipulation skills, and familiarity with cloud services and ML model deployment tools. Exposure to Agentic AI, MLOps tools, generative AI models, prompt engineering, few-shot/fine-tuned approaches for LLMs, vector databases, version control, and collaborative development practices would be considered advantageous. Furthermore, we are looking for individuals with a strong analytical and mathematical background, including proficiency in linear algebra, statistics, and probability, as well as a solid understanding of algorithms and data structures to solve complex ML problems. Soft skills such as excellent problem-solving, critical-thinking, communication, collaboration, self-motivation, and continuous learning mindset are also highly valued. If you are ready to contribute your expertise and passion for machine learning and AI to a dynamic and innovative team, Tecblic is the place for you. Join us in pushing the boundaries of technology and creating impactful AI-driven solutions for businesses in the digital era.,

As a Data Scientist at UST, you will independently develop data-driven solutions to tackle complex business challenges by utilizing analytical, statistical, and programming skills to collect, analyze, and interpret large datasets under supervision. Your role involves working closely with stakeholders across the organization to identify opportunities for leveraging customer data in creating models that generate valuable business insights. You will be responsible for creating new experimental frameworks, building automated tools for data collection, correlating similar datasets, and deriving actionable results. Additionally, you will develop predictive models and machine learning algorithms to analyze vast amounts of information, uncover trends, and patterns. By mining and analyzing data from company databases, you will drive optimization and improvement in product development, marketing techniques, and business strategies. Moreover, you will be expected to create processes and tools to monitor and analyze model performance, data accuracy, and develop data visualization and illustrations to address business problems effectively. Your role will also involve using predictive modeling to enhance and optimize customer experiences and other business outcomes. Collaboration with different functional teams to implement models and monitor outcomes is essential. You will be required to set and provide feedback on FAST goals for reportees. Key responsibilities include applying statistical techniques like regression, properties of distributions, and statistical tests to analyze data, as well as utilizing machine learning techniques such as clustering, decision tree learning, and artificial neural networks for data analysis. Moreover, you will be creating advanced algorithms and statistics through regression, simulation, scenario analysis, and modeling. In terms of data visualization, you will visualize and present data for stakeholders using tools like Periscope, Business Objects, D3, ggplot, etc. You will oversee the activities of analyst personnel, ensuring efficient execution of their duties, while mining the business's database for critical insights and communicating findings to relevant departments. Other expectations include creating efficient and reusable code for data improvement, manipulation, and analysis, managing project codebase through version control tools like git and bitbucket, and creating reports depicting trends and behaviors from analyzed data. You will also be involved in training end users on new reports and dashboards, documenting your work, conducting peer reviews, managing knowledge, and reporting task status. The ideal candidate will possess excellent pattern recognition and predictive modeling skills, a strong background in data mining and statistical analysis, expertise in machine learning techniques, and advanced algorithm creation. Moreover, analytical, communication, critical thinking, attention to detail, mathematical, and interpersonal skills are crucial for success in this role. Proficiency in programming languages such as Java, Python, R, web services like Redshift and S3, statistical and data mining techniques, computing tools, analytical languages, data visualization software, mathematics, spreadsheet tools, DBMS, operating systems, and project management tools is required. Additionally, a strong understanding of statistical concepts, SQL, machine learning (Regression and Classification), deep learning (ANN, RNN, CNN), advanced NLP, computer vision, Gen AI/LLM, AWS Sagemaker/Azure ML/Google Vertex AI, and basic implementation experience of Docker, Kubernetes, kubeflow, MLOps, Python (numpy, panda, sklearn, streamlit, matplotlib, seaborn) is essential for this role.,

Join us as a Machine Learning/Artificial Intelligence Engineer, responsible for supporting the successful delivery of Location Strategy projects to plan, budget, agreed quality and governance standards. You'll spearhead the evolution of our digital landscape, driving innovation and excellence. You will harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences. To be successful as a Machine Learning/Artificial Intelligence Engineer, you should have experience with: - Good years of experience in IT with a background in Development, Machine Learning, and/or Data analysis. - Hands-on experience of NLP/AI/ML tools & technologies GPT, BERT, or other language models. - Experience in building GenAI applications, RAG-based architectures. - Model Development: Research, design, implement, and optimize machine learning models for specific use cases such as predictive analytics, NLP, computer vision, and recommender systems. - Data Preparation: Collect, preprocess, and analyze large datasets to extract meaningful insights and ensure data quality for model training. - Deployment: Build and deploy AI/ML solutions into production environments using appropriate tools and frameworks. - Knowledge of one of the cloud platforms is a must: AWS/AZURE. - Collaboration: Work closely with product managers, data engineers, and software developers to integrate AI capabilities into products and ensure alignment with business objectives. - Performance Monitoring: Evaluate and monitor model performance and accuracy post-deployment, iterating to address challenges and refine models as needed. - Strong Affinity to stay informed on the latest trends, tools, and research in AI and machine learning space. - Support and contribute to data collection efforts, as needed. - Verify data quality to ensure accurate analysis and reporting. - Help identify the business data needed to produce the most useful insights and future analytics. - Utilize data to make actionable recommendations at all levels. - Monitor data management processes to ensure data quality and consistency. - Monitor system performance, data integrity, and usage metrics. - Contribute to data dictionary, standards, training, and ongoing updates. Some other highly valued skills may include: - Web service development experience using REST services/APIs, JSON, XML, IVRs, Jenkins, other Cloud Platforms. - Experience in setting up DevOps pipelines. You may be assessed on the key critical skills relevant for success in the role, such as risk and controls, change and transformation, business acumen, strategic thinking, and digital and technology, as well as job-specific technical skills. This role is based in Pune. Purpose of the role: To design, develop, and improve software, utilizing various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. Accountabilities: - Development and delivery of high-quality software solutions by using industry-aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance. - Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives. - Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing. - Stay informed of industry technology trends and innovations and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. - Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. - Implementation of effective unit testing practices to ensure proper code design, readability, and reliability. Assistant Vice President Expectations: - To advise and influence decision-making, contribute to policy development, and take responsibility for operational effectiveness. Collaborate closely with other functions/business divisions. - Lead a team performing complex tasks, using well-developed professional knowledge and skills to deliver work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives, and determination of reward outcomes. - If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviors to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviors are: L Listen and be authentic, E Energize and inspire, A Align across the enterprise, D Develop others. - OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialization to complete assignments. They will identify new directions for assignments and/or projects, identifying a combination of cross-functional methodologies or practices to meet required outcomes. - Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. - Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. - Take ownership of managing risk and strengthening controls in relation to the work done. - Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organization sub-function. - Collaborate with other areas of work, for business-aligned support areas to keep up to speed with business activity and the business strategy. - Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practices (in other areas, teams, companies, etc.) to solve problems creatively and effectively. - Communicate complex information. "Complex" information could include sensitive information or information that is difficult to communicate because of its content or its audience. - Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset to Empower, Challenge, and Drive the operating manual for how we behave.,

At CredArtha, we are revolutionizing financial intelligence with FINA (Financial Intelligence & Neural Analyst), our proprietary vertical LLM designed to process, analyze, and generate financial insights. Our mission is to empower financial institutions, businesses, and individuals with AI-driven precision, efficiency, and automation in financial decision-making. We are looking for a Senior Machine Learning Engineer who is passionate about LLMs, deep learning, and NLP and is eager to build cutting-edge AI models tailored for financial data processing, document understanding, and predictive analytics. If you have expertise in training and fine-tuning open-source LLMs, developing retrieval-augmented generation (RAG) systems, and optimizing NLP models for real-world applications, we want you on our team. As a Senior Machine Learning Engineer, you will: LLM Development & Optimization - Design, train, and fine-tune FINA, leveraging open-source LLMs such as LLaMA, Falcon, Mistral, and GPT-J for financial applications. - Implement parameter-efficient fine-tuning (PEFT) techniques to optimize model efficiency while maintaining accuracy. - Work on self-learning mechanisms to ensure FINA continuously evolves through user interactions and real-time financial data ingestion. NLP & Financial Data Processing - Develop and enhance NLP models for document understanding, financial risk analysis, and transaction categorization. - Work on named entity recognition (NER), sentiment analysis, topic modeling, and automated financial report generation. - Design embedding models and vector search architectures to create a robust financial knowledge base. RAG & AI-Powered Financial Insights - Implement retrieval-augmented generation (RAG) pipelines to enhance LLM response accuracy and domain knowledge. - Build custom search and retrieval mechanisms using vector databases like FAISS, Weaviate, or ChromaDB. - Develop multi-modal AI models that combine structured and unstructured financial data to provide deep insights and analytics. Deployment, MLOps & Scalability - Deploy and manage FINA using cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and MLOps best practices. - Optimize models for low-latency inference and scalability using quantization, distillation, and model pruning techniques. - Implement real-time monitoring and feedback loops to improve model performance and user experience. Ideal Candidate Profile We are looking for someone who has: - Hands-on experience in Machine Learning, Deep Learning, and NLP (LLMs, Transformers, RNNs, etc.). - Strong proficiency in Python, with experience in TensorFlow, PyTorch, Hugging Face Transformers, and LangChain. - Expertise in fine-tuning LLMs, self-supervised learning, and AI explainability. - Experience working with financial data (bank statements, credit reports, transactional data, risk models, etc.). - Strong knowledge of vector embeddings, search algorithms, and RAG implementations. - Familiarity with database technologies (SQL, MongoDB, NoSQL) and cloud platforms (AWS, GCP, Azure). Bonus: Experience in financial risk modeling, fraud detection, or credit scoring models. Why Join CredArtha - Innovate at the intersection of AI & Finance. Work on groundbreaking AI-driven financial solutions. - Build FINA from the ground up. Develop a vertical LLM that will be at the core of CredArtha's technology stack. - Impact millions. Help businesses and financial institutions automate, analyze, and optimize decision-making with AI. - Freedom to experiment. Push the boundaries of deep learning and NLP in a fast-paced, innovation-driven environment.,

As a Healthcare Technology Organization dedicated to simplifying, accelerating, and optimizing care delivery for healthcare enterprises, AVIZVA has been a strategic enabler in the industry since 2011. With a proven track record of over 13 years, we have designed and delivered more than 150 customized products for prominent Medical Health Plans, Dental and Vision Plan Providers, PBMs, Medicare Plan Providers, TPAs, and other healthcare entities. In your role as an Associate Manager - Applied Machine Learning at AVIZVA, you will be at the forefront of architecting, designing, and developing advanced GenAI products and services. Your responsibilities will include leveraging your technical expertise in machine learning to lead a team effectively and contribute to the development of Large Language Model (LLM) based products. By combining GenAI and traditional ML approaches, you will play a crucial role in meeting key product requirements. Collaboration is key in this role, as you will work closely with cross-functional teams, including product managers and business leaders, to deliver scalable machine-learning solutions that align with business objectives. **Job Responsibilities:** - Lead the team by setting clear goals, priorities, and performance expectations that align with business objectives. - Architect and oversee the lifecycle of LLM based GenAI projects, ensuring timely delivery in line with business needs. - Take ownership of technical and operational challenges, providing solutions to keep projects on track. - Collaborate with infrastructure and engineering teams to seamlessly deploy and integrate models into production environments. - Foster a culture of continuous improvement through agile practices and regular retrospectives. - Stay updated on emerging machine learning technologies and prototype new algorithms to tackle complex challenges. - Motivate the team to deliver high-quality results on time while maintaining a collaborative work environment. **Skills & Qualifications:** - Bachelor's or Master's degree in Computer Science or a related analytical field. - Minimum of 1 year of experience in Gen AI, Agentic AI, and Large Language Models. - Hands-on experience in building RAG pipelines and utilizing NLP, NLG, Text Analytics, and Transformer-based models. - 10+ years of experience as an Applied Machine Learning Engineer or Data Scientist, with expertise in Python. - Strong knowledge of system design, architecture, design principles, and Core Python. - Proficiency in ensemble models, classification, clustering algorithms, and Object-Oriented Programming. - Experience with ORM tools, RESTful services, debugging, testing frameworks, and web development. - Familiarity with Agile methodology, excellent communication, and problem-solving skills. Join AVIZVA to be a part of a dynamic team that is dedicated to transforming healthcare delivery through innovative technology solutions.,

The role of a Software Engineer (Node Js) at Nuacem involves being hands-on in web services and server-side experience. Your responsibilities will include analyzing business requirements, collaborating with different business teams, and participating in the solution design process. You will primarily work with Node.js, NOSQL, and other relevant technologies as part of the core development team, focusing on developing server APIs/components and scaling applications and database infrastructure processes. With a minimum experience range of 5 years, you will work on high traffic/real-time Enterprise apps, following Agile Methodologies, Design Patterns, and Software Revision Control Systems. You are expected to gain experience in scaling applications and database infrastructure in an innovative and creative environment. The ideal candidate must possess strong expertise in either Java or Python, along with Node.JS. Proficiency in JSON, Redis/MongoDB, and Web Sockets is essential. Additional knowledge of AI, NLP, ML, and Chatbots would be advantageous. Familiarity with Linux/Unix flavors, Web Services using REST and SOAP, different authentication/authorization techniques, server-side programming, code documentation, and handover is required. Basic knowledge of Sockets, Queuing Systems like RabbitMQ, Kafka, building scalable, high-available platforms, exposure to cloud platforms like AWS/GCP/Azure, and UI-side development experience in Java Script/Angular.JS/React.JS/Vue.JS would be beneficial. As a Sr. Backend Developer at Nuacem, this full-time position is based in Hyderabad. Your leadership competencies will be vital, including strategic thinking, driving results, fostering a high-performance culture, and inspiring/teaching others to excel.,

You will be responsible for designing and developing scalable AI and machine learning models to address complex business challenges. Your role will involve leading end-to-end model development, including data collection, preprocessing, training, validation, deployment, and monitoring. Collaboration with cross-functional teams, such as data engineers, software developers, and product managers, will be essential. Additionally, you will optimize existing AI models for enhanced performance and accuracy. To excel in this role, you should stay abreast of the latest research and trends in AI/ML and assess their relevance to company products. Documenting processes, models, and code for knowledge sharing and reproducibility purposes will also be part of your responsibilities. Furthermore, mentoring junior team members and fostering a culture of innovation will be key components of your role. The ideal candidate for this position should possess a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. You should have at least 5 years of experience in AI/ML, data science, or related roles. Proficiency in Python and ML frameworks like TensorFlow, PyTorch, and scikit-learn is essential. A solid grasp of machine learning algorithms, data structures, and software engineering principles is also required. Experience with cloud platforms such as AWS, Azure, or GCP, as well as familiarity with MLOps tools, will be advantageous. Hands-on experience in NLP, computer vision, or deep learning applications is desirable. Strong problem-solving and analytical skills, coupled with excellent communication and collaboration abilities, are crucial for success in this role. While a PhD in an AI/ML-related field is not mandatory, it would be a significant asset. Experience in deploying models in production environments using CI/CD pipelines, as well as contributions to open-source AI/ML projects or publications in esteemed journals or conferences, will be considered advantageous for this position.,

Build the future of the AI Data Cloud by joining the Snowflake team. Snowflake's founders created a data platform tailored for the cloud, making it effective, affordable, and accessible to all data users. Snowflake is designed to power the Data Cloud, allowing organizations to leverage their data with near-unlimited scale, concurrency, and performance. The vision is to provide endless insights to address today's challenges and opportunities while uncovering tomorrow's possibilities. We are seeking a talented Principal Software Engineer to contribute to the development of the Snowflake platform with cognitive capabilities. The team at Snowflake is focused on advancing the NLP space to state-of-the-art levels and innovating in the cognitive domain. With Snowflake's rapid growth, additional talent is required to drive this transformation. As a Principal Software Engineer in AI & ML, you will: - Develop customer-facing AI-based services such as intelligent document processing. - Design and implement highly scalable distributed platforms within the Snowflake platform. - Contribute to decision-making processes on technical and business matters. - Collaborate with engineers from various teams to deliver cross-functional initiatives. - Ensure operational readiness of services to meet customer commitments regarding reliability, availability, and performance. The ideal Principal Software Engineer will have: - 14+ years of industry experience in designing, building, and supporting large-scale systems in production. - A passion for AI/ML and NLP. - Extensive experience in building end-to-end customer-facing products. - Strong fundamentals in computer science, including proficiency in data structures, algorithms, and distributed systems (Fluency in Python or Java is preferred). - Knowledge of C, C++, and Go is advantageous. - Experience collaborating with cross-functional teams and product managers. - A degree in Computer Science, related majors, or equivalent experience (BS/MS/PhD). Please note that we offer a hybrid work model with 3 days per week in the Warsaw office and provide relocation assistance. Snowflake is experiencing rapid growth, and we are expanding our team to support and accelerate this growth. We are looking for individuals who share our values, challenge conventional thinking, drive innovation, and contribute to their own and Snowflake's future success. For job opportunities in the United States, please refer to the job posting on the Snowflake Careers Site for details on salary and benefits: careers.snowflake.com,

As a Python Developer, you will be responsible for building supervised (GLM ensemble techniques) and unsupervised (clustering) models using standard industry libraries such as pandas, scikit-learn, and keras. Your expertise in big data technologies like Spark and Dask, as well as databases including SQL and NoSQL, will be essential in this role. You should have significant experience in Python, with a focus on writing unit tests, creating packages, and developing reusable and maintainable code. Your ability to comprehend and articulate modeling techniques, along with visualizing analytical results using tools like matplotlib, seaborn, plotly, D3, and Tableau, will be crucial. Experience with continuous integration and development tools like Jenkins, as well as Spark ML pipelines, will be advantageous. We are looking for a self-motivated individual who can collaborate effectively with colleagues and contribute innovative ideas to enhance our projects. Preferred qualifications include an advanced degree with a strong foundation in the mathematics behind machine learning, including linear algebra and multivariate calculus. Experience in specialist areas such as reinforcement learning, NLP, Bayesian techniques, or generative models will be a plus. You should excel at presenting ideas and analytical findings in a compelling manner that influences decision-making. Demonstrated evidence of implementing analytical solutions in an industry context and a genuine enthusiasm for leveraging data science to enhance customer-centricity in financial services ethically are highly desirable qualities for this role.,

As a Digital Product Engineering company, Nagarro is currently seeking a professional with over 5 years of experience in the field to join our team. The ideal candidate should possess a deep understanding of Generative AI fundamentals and transformer-based architectures along with a strong experience in Cloud Architecture for deploying scalable AI systems using platforms such as AWS, Azure, or GCP. The successful candidate will have hands-on experience working with Generative AI models, particularly in Azure AI, and should be familiar with BERT, GPT, LLaMA, and similar LLMs. Proficiency in prompt engineering, RAG techniques, and fine-tuning and deploying models using frameworks like Hugging Face Transformers or LangChain is also required. Additionally, experience with multi-agent AI systems, collaborative model workflows, Python, machine learning libraries (e.g., PyTorch, TensorFlow), and integrating models into enterprise platforms and APIs is essential. Responsibilities for this role include understanding clients" business use cases and technical requirements, translating them into technical designs, mapping decisions with requirements, identifying and narrowing down solutions that best meet client requirements, defining guidelines and benchmarks for NFR considerations, writing and reviewing design documents, reviewing architecture and design for various aspects, developing and designing solutions for defined requirements, and resolving issues raised during code reviews through systematic analysis. Qualifications for this position include a Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. If you are passionate about AI, NLP, and Knowledge Engineering and possess the required skills and experience, we invite you to join our dynamic and non-hierarchical work culture at Nagarro.,

As a Junior Data Scientist with 1 to 2.6 years of experience in AI and data science, you will be responsible for implementing machine learning models, conducting experiments, and collaborating with senior team members. You should have a foundational understanding of AI, ML, NLP, Opencv, Deep learning, Generative AI, and Computer Vision, along with a Bachelor's degree or Master's in computer science, mathematics, or a related field. Your main duties will include working on machine learning algorithms, assisting in data pipeline construction, and contributing to the enhancement of existing machine learning frameworks. Strong analytical skills, a basic understanding of probability and statistics, and familiarity with machine learning frameworks like TensorFlow, Keras, or PyTorch are essential for this role. Additionally, you should possess good time management, organizational skills, and communication abilities. This is a great opportunity to grow your skills in a supportive environment, collaborate with a talented team, and work on-site at various locations in India and globally. If you have a passion for continuous learning and innovation in the field of data science, this role is perfect for you. Join us in Indore - MP and be part of a dynamic team that values creativity, collaboration, and excellence. Apply now from multiple locations including Indore, Nagpur, Bhopal, Jabalpur, Nasik, Ujjain, Gwalior, Chhindwara, Kanpur, Patna, Bangalore, Chennai, Mumbai, Pune, Hyderabad, NCR, and Ahmedabad.,

Data Dynamics is a global leader in enterprise data management, specializing in Digital Trust and Data Democracy. With a client base of over 300 organizations, including 25% of the Fortune 20, Data Dynamics is dedicated to establishing a transparent, unified, and empowered data ecosystem. The company's AI-powered self-service data management software is reshaping traditional data management practices by granting data creators of all proficiency levels ownership and control over their data. As a Regional Solutions Engineer at Data Dynamics, you will assume a pivotal role in technical pre-sales and customer management. Throughout the pre-sales phase, your responsibilities will involve engaging with customers to elicit business and technical requirements, coordinating technical information, delivering demonstrations, and showcasing product positioning capabilities. You will need to conduct thorough research into the specific needs of customers and assess the feasibility of their requirements. Your proficiency will be crucial in evaluating customers" business demands and translating them into technical and licensing requisites. In instances involving Proof of Concept (POC) or a sale, you will collaborate with the sales representative for review. For existing customers where upselling or cross-selling is the primary objective, you will closely collaborate with the customer success manager allocated to the account and the global support team as necessary. A seamless handover to the implementation team before the customer's go-live phase is essential to ensure a smooth customer experience consistently. A core expectation is your capability to independently set up and conduct demonstrations and POCs from inception. The POC process necessitates defining and agreeing upon success criteria with the customer and sales representative, alongside monitoring the progress towards meeting the customer's objectives. Post POC, you are expected to secure customer approval through a presentation to Data Dynamics Sales and the customers" decision-makers. Furthermore, following any sale globally, your presence may be required to support or lead the installation, contingent on time zones and available resources. Given your regular interactions with both new and existing customers, understanding their business visions, goals, technical capacities, and constraints, you are anticipated to advocate for customers" needs. Providing feedback on business processes, technical matters, or enhancements to the relevant teams within Data Dynamics is crucial. Driving continuous enhancements across all aspects of our operations is vital to achieving our ultimate goal of ensuring customer success and satisfaction. Your responsibilities extend to scriptwriting when necessary, bug reporting, software testing, personal activity tracking, CRM updates, and communication updates to management. Occasional travel for customer or internal meetings may be part of the role. At Data Dynamics, we are committed to delivering an exceptional customer experience and fostering a collaborative, challenging, fun, and innovative work environment. If you are a customer-centric and passionate individual with a strong commitment to building world-class, scalable, data-driven software, we would like to connect with you. Qualifications: - Proficiency in Windows and Linux, Docker, and Kubernetes - Knowledge of SQL, Postgresql, Elasticsearch, File/NAS, and Object Storage - Familiarity with Data Discovery, Data Science, OCR, NLP, Computer Vision, AI, Keyword Search, Regex, Data Governance, GDPR, HIPAA, CCPA - Experience with Microservices-based applications, ITILv4, Project Management, and Data Migration - Prior experience in Presales and Integration - Strong problem-solving, presentation, and communication skills - Ability to collaborate effectively in a team setting - Background in data management or related field is advantageous - Bachelor's degree in Computer Science, Engineering, or a related field,

As a Data Science Team Lead at our organization, you will be responsible for leading a team of data scientists, planning data projects, building analytic systems, and managing a team of data scientists and machine learning engineers. Your role will also involve participating in pre-sales activities and developing proposals. With your strong expertise in machine learning, deep learning, NLP, data mining, and information retrieval, you will design, prototype, and build the next-generation analytics engines and services. Your responsibilities will include leading data mining and collection procedures, ensuring data quality and integrity, interpreting and analyzing data problems, conceiving, planning, and prioritizing data projects, building analytic systems and predictive models, testing the performance of data-driven products, visualizing data, creating reports, aligning data projects with organizational goals, understanding business problems, and designing end-to-end analytics use cases. Additionally, you will develop complex models and algorithms to drive innovation throughout the organization, conduct advanced statistical analysis to provide actionable insights, collaborate with model developers to implement scalable solutions, and provide thought leadership by researching best practices and collaborating with industry leaders. To qualify for this role, you should have 8-15 years of experience in a statistical and/or data science role, proven experience as a Data Scientist or similar role, strong organizational and leadership skills, a degree in Computer Science, Data Science, Mathematics, or a similar field, deep knowledge and experience in Large Language Models (LLM), strong knowledge of Generative AI, deep knowledge of machine learning, statistics, optimization, or a related field, experience in Linear and non-Linear Regression models, Classification models, and Unsupervised models, rich experience in NLP techniques, experience in Deep Learning techniques like CNN, RNN, GAN, and Markov, real-time experience with at least one of the machine language software like R, Python, Matlab, good knowledge in Explainable AI, experience working with large datasets, simulation/optimization, and distributed computing tools, excellent written and verbal communication skills, a strong desire to work in cross-functional teams, an attitude to thrive in a fun, fast-paced startup-like environment, and an additional advantage of experience in semi, unstructured databases. Optional qualifications include programming skills in languages like C, C++, Java, or .Net.,

As a Senior Data Scientist with 5+ years of experience, you will play a crucial role in our team based in Indore/Pune. Your responsibilities will involve designing and implementing models, extracting insights from data, and interpreting complex data structures to facilitate business decision-making. You should have a strong background in Machine Learning areas such as Natural Language Processing, Machine Vision, Time Series, etc. Your expertise should extend to Model Tuning, Model Validation, Supervised and Unsupervised Learning. Additionally, hands-on experience with model development, data preparation, and deployment of models for training and inference is essential. Proficiency in descriptive and inferential statistics, hypothesis testing, and data analysis and exploration are key skills required for this role. You should be adept at developing code that enables reproducible data analysis. Familiarity with AWS services like Sagemaker, Lambda, Glue, Step Functions, and EC2 is expected. Knowledge of data science code development and deployment IDEs such as Databricks, Anaconda distribution, and similar tools is essential. You should also possess expertise in ML algorithms related to time-series, natural language processing, optimization, object detection, topic modeling, clustering, and regression analysis. Your skills should include proficiency in Hive/Impala, Spark, Python, Pandas, Keras, SKLearn, StatsModels, Tensorflow, and PyTorch. Experience with end-to-end model deployment and production for at least 1 year is required. Familiarity with Model Deployment in Azure ML platform, Anaconda Enterprise, or AWS Sagemaker is preferred. Basic knowledge of deep learning algorithms like MaskedCNN, YOLO, and visualization and analytics/reporting tools such as Power BI, Tableau, Alteryx would be advantageous for this role.,

As a ML Engineer/Data Scientist at Innova ESI in Bengaluru, you will be responsible for leveraging your strong background in Computer Science and Algorithms to work on pattern recognition, neural networks, algorithms, and statistical methods in order to deliver end-to-end data solutions. Your role will involve collaborating in cross-functional teams to drive digital transformation through innovative and sustainable IT solutions. You should have a deep understanding of machine learning and NLP, along with commercial experience in building and deploying LLM solutions. With 4-8 years of relevant experience, you are expected to demonstrate exceptional coding ability, particularly in Python, and be familiar with ML tools and libraries like TensorFlow, PyTorch, pandas, and scikit-learn. Your proficiency in Pattern Recognition and Neural Networks, combined with knowledge of Statistics and its application in data analysis, will be key in working with complex algorithms and data models. In addition, you should have a strong understanding of MLOps best practices and experience in deploying LLM applications to production at scale. As a problem solver and self-starter, you enjoy tackling difficult problems and finding optimal solutions independently as well as in a collaborative team environment. Your strong communication skills will enable you to effectively articulate complex technical concepts to non-technical stakeholders. This full-time hybrid role offers flexibility for some remote work while being primarily based in Bengaluru. If you meet the qualifications and are excited about driving digital transformation through innovative data solutions, we encourage you to share your resume with us at jaya.sharma@innovaesi.com.,

We are seeking a highly skilled and experienced Senior Machine Learning Developer to join our dynamic team. The ideal candidate will have a strong background in machine learning (ML), deep learning (DL), and large language models (LLMs). They should be proficient in Python and possess expertise in conventional ML algorithms, DL techniques, LLM and prompt engineering Responsibilities: 1. Machine Learning Development: Design, develop, and implement ML models and algorithms to solve complex problems. Work on various ML projects involving data preprocessing, feature engineering, model selection, and evaluation. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. 2. Deep Learning: Develop and deploy DL models using frameworks like TensorFlow, PyTorch, or Keras. Optimize DL models for performance and scalability. Stay updated with the latest advancements in DL and apply them to improve existing models. 3. Large Language Models: Develop and fine-tune large language models for various NLP tasks. Implement prompt engineering techniques to enhance model performance and accuracy. Experiment with state-of-the-art LLM architectures and methodologies. 4. Software Development: Write clean, maintainable, and efficient code in Python. Conduct code reviews and ensure adherence to best practices and coding standards. Implement version control using Git and collaborate with the development team through GitHub or similar platforms. 5. Data Handling: Work with large datasets and perform data preprocessing, cleaning, and augmentation. Implement data pipelines and ensure data integrity and quality throughout the ML lifecycle. 6. Research and Innovation: Stay abreast of the latest research and developments in the field of ML, DL, and LLMs. Propose and explore innovative solutions to improve model performance and address new challenges. 7. Mentorship: Mentor and guide junior ML engineers and team members. Share knowledge and best practices within the team to foster a collaborative and learning environment. Desire Skills 1. RAG-Based Domain-Specific Q&A System Should have built a chatbot that answers questions from custom documents (e.g., legal contracts, company policies) using LLM + Vector DB (RAG). 2. Agentic AI Workflow Assistant (Multi-Step Planner) Should have created an LLM agent that performs tasks like Book my flight + hotel + calendar block via API tools using LangGraph or AutoGen. 3. Multimodal RAG for Image + Text Search Worked on system that allows users to ask questions like Find me the slide where person X talks about success in life in a YouTube video or PDF deck. 4. Document Parsing Using OCR + Transformers Extract structured data from messy PDFs using Tesseract + LayoutLM or Donut

Desired Qualifications: 8+ years of experience in software development, scripting, and/or automation, with a strong focus on Conversational AI and Intelligent Automation. 2+ years of hands-on experience building LLM-based GenAI applications using frameworks like LangChain, LlamaIndex, and vector databases . Solid experience in Python programming and modern front-end technologies (e.g., Angular, React, Streamlit). Proficiency in cloud services, especially AWS and Microsoft Azure ; experience with Copilot stack or OpenAI integrations. Strong understanding of NLP concepts, dialog systems, prompt engineering , and multi-turn conversational design. Experience with database design and querying (MongoDB, MySQL, RDBMS) and working knowledge of SQL. Familiarity with Agile methodologies and tools such as JIRA. Must come financial services/capital markets/investment banking Excellent Analytical skills Great interpersonal and communication skills Open to work in UK Shift (10 Am to 9 Pm IST with 8 hours of productive work) Responsibilities: Design and implement end-to-end Conversational AI solutions using AWS, Microsoft Azure (including Copilot stack), and OpenAI APIs. Lead development of intelligent virtual agents using Generative AI techniques, including Retrieval-Augmented Generation (RAG) and Agentic AI architectures. Build and deploy advanced bot solutions using Python, LLM frameworks (LangChain, LlamaIndex), and front-end tools like Streamlit or Angular. Integrate conversational flows with enterprise APIs, databases, and third-party tools using Azure Cognitive Services (LUIS/CLU, QnA Maker/CQA, Speech APIs, Spell Check, etc.). Design and optimize reusable prompt templates, tool definitions, and execution workflows in multi-agent or tool-augmented environments. Lead quality assurance by writing unit tests, reusable test cases, and participating in UAT and product testing cycles. Collaborate with product managers, testers, and business teams to ensure alignment with delivery goals. Coach and mentor junior team members on Conversational AI, Generative AI, and automation frameworks. Provide technical leadership and communicate project status, risks, and mitigation plans to stakeholders and leads. Continuously improve internal tools and developer processes; recommend best practices and contribute to platform scalability. Stay updated on emerging AI/ML trends and pursue certifications in relevant technologies. Education Qualification: B.Tech or MCA Mandatory Competencies Database - Database Programming - SQL Cloud - AWS - Dynamo DB, Amazon Aurora, Amazon RDS Cloud - Azure - Azure Data Factory (ADF), Azure Databricks, Azure Data Lake Storage, Event Hubs, HDInsight Data Science and Machine Learning - Data Science and Machine Learning - Gen AI (LLM, Agentic AI, Gen AI enable tools like Github Copilot) Data Science and Machine Learning - Data Science and Machine Learning - NLP (Natural language processing) Data Science and Machine Learning - Data Science and Machine Learning - Gen AI User Interface - Angular - Angular 2+ Data Science and Machine Learning - Data Science and Machine Learning - AI/ML Beh - Communication and collaboration

Roles & Responsibilities : - Responsible for developing new features and models as part of our core product through applied research. - Understand, apply and extend state-of-the-art NLP research to better serve our customers. - Work closely with engineering, product, and customers to scientifically frame the business problems and come up with the underlying AI models - Design, implement, test, deploy, and maintain innovative data and machine learning solutions to accelerate our business. - Think creatively to identify new opportunities and contribute to high-quality publications or patents. Desired Qualifications and Experience : - At Least 1 year of professional experience. - Bachelors in Computer Science or related fields from the top colleges. - Extensive knowledge and practical experience in one or more of the following areas : machine learning, deep learning, NLP, recommendation systems, information retrieval. - Experience applying ML to solve complex business problems from scratch. - Experience with Python and a deep learning framework like Pytorch/Tensorflow. - Awareness of the state of the art research in the NLP community. - Excellent verbal and written communication and presentation skills.

Key Responsibilities Design, build, and maintain scalable full-stack solutions, integrating sophisticated AI models and advanced data retrieval mechanisms into intuitive, scalable, and responsive applications. Applications integrating Retrieval-Augmented Generation (RAG)-based AI solutions. Develop responsive, intuitive user interfaces leveraging modern JavaScript frameworks (React, Angular Design, build, and maintain AI-driven full-stack applications leveraging Retrieval-Augmented Generation (RAG, Vue) to deliver seamless AI-driven user experiences. Build robust backend APIs and microservices that interface with AI models,) and related AI technologies vector databases, and retrieval engines. Integrate Large Language Models (LLMs), embeddings, vector databases, and search algorithms. Collaborate closely with AI/ML specialists, product owners, and UX designers to translate complex AI capabilities into user-friendly interfaces. Implement robust into applications. Collaborate closely with data scientists, machine learning engineers, and product teams to define APIs and backend services to requirements, optimize AI integration, and deliver innovative features support RAG model integrations and real-time data retrieval. Develop responsive front-end interfaces utilizing modern frameworks. Create and manage RESTful and GraphQL APIs to facilitate efficient, secure data exchange between frontend (React, Angular, Vue) that seamlessly interact with AI backend services. Ensure robust security measures, scalability, and performance components, backend services, and AI engines. Participate actively in code reviews, architecture decisions, and Agile ceremonies, ensuring best practices in software engineering and optimization of AI-integrated applications. Participate actively in code reviews, technical design discussions, and agile ceremonies. Continuously AI integration. Troubleshoot, debug, and enhance performance of both frontend and backend systems, focusing on AI latency, accuracy explore emerging AI trends and technologies, proactively recommending improvements, and scalability. to enhance product capabilities. Qualifications Bachelors degree in computer science, Engineering, or a related technical discipline. 3+ years of experience in full-stack software engineering, with demonstrated, Engineering, or related discipline. Minimum of 3+ years of experience in full-stack software development. Proficiency experience integrating AI/ML services. Strong proficiency in front-end technologies including HTML, CSS, JavaScript, and frameworks such as React, Angular, or Vue.js. in frontend technologies (HTML, CSS, JavaScript Backend development expertise with Node, React, Angular, Vue). Strong backend.js, Python, Java, or .NET, particularly experience building RESTful APIs and microservices.skills in Node.js, Python, Java, or .NET. Hands-on experience integrating AI/ML models, particularly NLP- Experience integrating AI and NLP models, including familiarity with Retrieval-Augmented Generation (RAG), OpenAI APIs, LangChain, or similar frameworks. Proficiency with relational-based Large Language Models (e.g., GPT, BERT, LLaMA). Familiarity with RAG architectures, vector databases (e.g., Pinecone, We and NoSQL databases (PostgreSQL, MongoDB, etc.) and familiarity with vector databases (aviate, Milvus), and embedding techniques. Experience with RESTful APIs, GraphQL, microservices, and cloud-native architecture (AWS, Azure, GCP). e.g., Pinecone, Chroma, Weaviate) is a plus. Solid understanding- Solid understanding of databases (SQL/NoSQL) and data modeling best practices. Experience with version control systems (Git), CI/CD pipelines, and containerization (Docker of version control (Git) and CI/CD pipelines.

About the job : We are looking for a highly skilled Senior AI/ML Engineer with 5+ years of experience to join our team. The ideal candidate should have extensive expertise in machine learning, deep learning, and AI model development, along with a strong background in Python, NLP, computer vision, and cloud-based AI solutions. Key Responsibilities : - Design, develop, and deploy AI/ML models for real-world applications. - Work with NLP, deep learning, and traditional ML algorithms to solve complex business problems. - Develop end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment. - Optimize model performance using hyperparameter tuning and model evaluation techniques. - Implement AI-driven solutions using TensorFlow, PyTorch, Scikit-learn, OpenAI APIs, Hugging Face, and similar frameworks. - Work with structured and unstructured data, performing data wrangling, transformation, and feature extraction. - Deploy models in cloud environments (AWS, Azure, or GCP) using SageMaker, Vertex AI, or Azure ML. - Collaborate with cross-functional teams to integrate AI models into production systems. - Ensure scalability, performance, and efficiency of AI/ML solutions. - Stay updated with emerging AI trends and technologies to drive innovation. Required Skills : - Strong experience in machine learning, deep learning, NLP, and AI model development. - Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and OpenAI GPT models. - Expertise in NLP techniques (Word2Vec, BERT, transformers, LLMs, text classification). - Hands-on experience with computer vision (CNNs, OpenCV, YOLO, custom object detection models). - Solid understanding of ML model deployment and MLOps (Docker, Kubernetes, CI/CD for ML models). - Experience in working with cloud platforms (AWS, Azure, GCP) for AI/ML model deployment. - Strong knowledge of SQL, NoSQL databases, and big data processing tools (PySpark, Databricks, Hadoop, Kafka, etc. -Familiarity with API development using Django, Flask, or FastAPI for AI solutions. - Strong problem-solving, analytical, and communication skills. Preferred Skills : - Experience with AI-powered chatbots and OpenAI API integration. - Exposure to LLMs (GPT, LLaMA, Falcon, etc.) for real-world applications. - Hands-on experience in generative AI models.

You should have 3-5 years of experience and a Bachelor's degree in Computer Science, B.Tech in IT or CSE, MCA, MSc IT, or a related field. The job is onsite in Mohali, PB with shift timings from 12 PM to 10 PM (Afternoon Shift). Your responsibilities will include designing and implementing complex algorithms, system analysis, design, and documentation, optimizing application performance metrics, managing project milestones and deadlines, designing database architecture, writing MySQL queries, and implementing highly scalable multi-threaded applications. In terms of technical background, you should have strong knowledge of Java, web services, and Design Patterns, good logical, problem-solving, and troubleshooting abilities, expertise in Code Optimization, Performance improvement, and working knowledge of Java/MySQL Profiler. You must also possess the ability to debug, understand problems, find root causes, and apply effective solutions. Knowledge of Regular Expressions, Solr, Elastic Search, NLP, Text Processing, or any ML libraries is desirable. Being a fast learner with strong problem-solving and troubleshooting skills is essential. The minimum skills required for this role include strong programming skills in Core Java, J2EE, and Java Web Services (REST/SOAP), good understanding of Object-Oriented Design (OOD) and Design Patterns, experience in performance tuning, code optimization, and the use of Java/MySQL profilers. You should have proven ability to debug, identify root causes, and implement effective solutions, solid experience with MySQL and relational database design, working knowledge of multi-threaded application development, familiarity with search technologies like Solr, Elasticsearch, or NLP/Text Processing tools, understanding of Regular Expressions and data parsing, exposure to Spring Framework, Hibernate, or Microservices Architecture is a plus, and experience with tools like Git, Maven, JIRA, and CI/CD pipelines is advantageous.,

As a data science expert, you will be responsible for developing strategies and solutions to address various problems using cutting-edge machine learning, deep learning, and GEN AI techniques. Your role will involve leading a team of data scientists to ensure timely and high-quality delivery of project outcomes. You will analyze large and complex datasets across different domains, perform exploratory data analysis, and select features to build and optimize classifiers and regressors. Enhancing data collection procedures, ensuring data quality and accuracy, and presenting analytical results to technical and non-technical stakeholders will be key aspects of your job. You will create custom reports and presentations with strong data visualization skills to effectively communicate analytical conclusions to senior company officials and other stakeholders. Proficiency in data mining, EDA, feature selection, model building, and optimization using machine learning and deep learning techniques is essential. Your primary skills should include a deep understanding and hands-on experience with data science and machine learning techniques, algorithms for supervised and unsupervised problems, NLP, computer vision, and GEN AI. You should also have expertise in building deep learning models for text and image analytics using frameworks like ANNs, CNNs, LSTM, Transfer Learning, Encoder, and decoder. Proficiency in programming languages such as Python, R, and common data science tools like NumPy, Pandas, Matplotlib, and frameworks like TensorFlow, Keras, PyTorch, XGBoost is required. Experience with statistical inference, hypothesis testing, and cloud platforms like Azure/AWS, as well as deploying models in production, will be beneficial for this role. Excellent communication and interpersonal skills are necessary to convey complex analytical concepts to diverse stakeholders effectively.,

NTT DATA is seeking a Digital Engineering Lead Engineer to join the team in Pune, Mahrshtra (IN-MH), India. As a part of the team, you will exercise expertise in developing AI/ML applications focusing on prediction, recommendation, text analytics, computer vision, bots, and content intelligence. You will apply statistical skills and advanced statistical techniques, demonstrating deep knowledge of ML frameworks like TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. In this role, you will leverage advanced knowledge of Python open-source software stack such as Django or Flask, Django Rest or FastAPI, etc. You should have deep knowledge in statistics, Machine Learning models, deep learning models, NLP, Generative Adversarial Networks (GAN), and other generative models. Experience working with RAG technologies and LLM frameworks like Langchain and LlamaIndex, LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases (FAISS, Milvus, etc.) is essential. Proficiency in programming languages such as Python and understanding of various Python packages is required. You will develop and implement GenAI solutions, collaborating with cross-functional teams to support the successful execution of AI projects for a diverse range of clients. Additionally, you will contribute to the development of frameworks, capabilities, and features for NTT DATA's global GenAI platform and TechHub. The ideal candidate should have a minimum of 2+ years of experience architecting high-impact GenAI solutions for diverse clients, preferably in Private AI and Smart Agentic Solutions. Furthermore, 5+ year(s) of experience participating in projects focusing on predictive analytics, data design, generative AI, AI/ML, and ML Ops is preferred. A minimum of 3 years of experience using Python is required, along with the ability to travel at least 25% and a Bachelor's Degree. NTT DATA is a trusted global innovator of business and technology services committed to helping clients innovate, optimize, and transform for long-term success. As a Global Top Employer, NTT DATA has diverse experts in more than 50 countries, with services including business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. Join us on our journey to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com.,

As a Gen AI Engineer at StatusNeo, you will be responsible for developing, optimizing, and deploying AI models and solutions with a focus on Generative AI, Prompt Engineering, Retrieval-Augmented Generation (RAG) models, and Large Language Models (LLMs). You will collaborate closely with cross-functional teams to design and implement scalable AI solutions on various cloud platforms. Key Responsibilities: - AI Model Development: Design, train, and fine-tune generative AI models, LLMs, and RAG models to address specific business use cases. - Prompt Engineering: Develop, test, and optimize prompts to enhance the performance and accuracy of AI models in generating desired outputs. - Cloud Expertise: Deploy and manage AI models on cloud platforms (e.g., AWS, Azure, GCP) ensuring scalability, security, and cost-efficiency. - Data Management: Collaborate with data scientists and engineers to ensure high-quality data ingestion, preprocessing, and feature engineering. - Model Evaluation & Tuning: Continuously monitor and evaluate model performance, making adjustments to improve accuracy and efficiency. - Innovation: Stay up-to-date with the latest advancements in AI, LLMs, and cloud technologies, and incorporate new techniques and tools into the development process. - Collaboration: Work closely with product managers, software engineers, and other stakeholders to integrate AI solutions into products and services. - Documentation: Maintain comprehensive documentation of models, algorithms, and development processes to ensure transparency and reproducibility. Qualifications: - Education: Bachelors or Masters degree in Computer Science, AI/ML, Data Science, or a related field. - Experience: Proven experience in developing and deploying AI models, particularly in Generative AI, LLMs, and RAG models. Hands-on experience with cloud platforms like AWS, Azure, or GCP for AI/ML workloads. Strong background in Prompt Engineering and AI model optimization techniques. - Technical Skills: Proficiency in programming languages such as Python, TensorFlow, PyTorch, or similar frameworks. Experience with NLP, machine learning algorithms, and data preprocessing. Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes) is a plus. Familiarity with MLOps practices and tools for continuous integration and deployment. - Soft Skills: Strong problem-solving skills and the ability to work in a fast-paced environment. Excellent communication and teamwork abilities. Eagerness to learn and adapt to new technologies and methodologies.,