861 Nlp Jobs - Page 16

As a Junior ML Developer in our Artificial Intelligence team, you will be responsible for designing, developing, and deploying machine learning models and algorithms to drive our innovative products and solutions. With 1 to 3+ years of experience, you will collaborate closely with cross-functional teams, including data scientists, software engineers, and product managers, to create scalable and efficient machine learning solutions. Your duties and responsibilities will include designing, implementing, and optimizing machine learning models, preprocessing and analyzing large datasets, developing features to enhance model accuracy, evaluating model performance, deploying models into production environments, staying updated with the latest advancements in machine learning, collaborating with various teams to integrate machine learning capabilities, and maintaining comprehensive documentation for models, algorithms, and processes. To excel in this role, you should have 1 to 3+ years of hands-on experience in machine learning or data science, expertise in handling large datasets and working with SQL and NoSQL databases, proficiency in developing, training, and deploying machine learning models, strong communication skills, the ability to work effectively in a team-oriented environment, experience with cloud platforms like AWS, Google Cloud, or Azure, knowledge of NLP, computer vision, or reinforcement learning, and familiarity with MLOps practices and tools. This position is based in Indore, MP, and involves working from the office. You should be open to working on-site at various locations in India and globally, including the USA, UK, Australia, and the Middle East, with on-site benefits applicable. If you are passionate about machine learning and eager to contribute to cutting-edge AI solutions, we encourage you to apply from the mentioned locations.,

You are a talented and passionate RAG (Retrieval-Augmented Generation) Engineer with strong Python development skills, joining our AI/ML team in Bengaluru, India. Your role involves working on cutting-edge NLP solutions that integrate information retrieval techniques with large language models (LLMs). The ideal candidate will have experience with vector databases, LLM frameworks, and Python-based backend development. In this position, your responsibilities will include designing and implementing RAG pipelines that combine retrieval mechanisms with language models, developing efficient and scalable Python code for LLM-based applications, integrating with vector databases like Pinecone, FAISS, Weaviate, and more. You will fine-tune and evaluate the performance of LLMs using various prompt engineering and retrieval strategies, collaborating with ML engineers, data scientists, and product teams to deliver high-quality AI-powered features. Additionally, you will optimize system performance and ensure the reliability of RAG-based applications. To excel in this role, you must possess a strong proficiency in Python and experience in building backend services/APIs, along with a solid understanding of NLP concepts, information retrieval, and LLMs. Hands-on experience with at least one vector database, familiarity with Hugging Face Transformers, LangChain, LLM APIs, and experience in prompt engineering, document chunking, and embedding techniques are essential. Good knowledge of working with REST APIs, JSON, and data pipelines is required. Preferred qualifications for this position include a Bachelors or Masters degree in Computer Science, Data Science, or a related field, experience with cloud platforms like AWS, GCP, or Azure, exposure to tools like Docker, FastAPI, or Flask, and an understanding of data security and privacy in AI applications.,

We are in search of an AI/ML Full Stack Engineer who will be responsible for implementing end-to-end, AI-powered solutions. Your primary responsibilities will include: Building & Integrating AI Solutions: Developing, training, and maintaining machine learning models such as NLP and recommendation engines for personalized product recommendations and conversational interfaces. Implementing scalable pipelines to process and analyze large datasets including product data, user interactions, and logs. Full Stack Development: Designing REST or GraphQL APIs to enable real-time conversational interactions. Creating frontend components using React, Vue.js, or similar technologies to incorporate chat widgets, voice interfaces, and AI-driven product discovery features. Optimizing backend services in Node.js, Python, or Go for enhanced performance and reliability to ensure seamless customer experiences across web and mobile platforms. Conversational Flow & Orchestration: Collaborating with Product and UX teams to design user-centric conversational flows that align with brand voice. Evaluating and integrating state-of-the-art NLP libraries and frameworks such as SpaCy, Hugging Face Transformers, Rasa, and LangChain for intent detection, sentiment analysis, and context management. Data Engineering & Infrastructure: Working with DevOps to deploy models and services on cloud platforms like AWS, GCP, or Azure using container orchestration tools like Docker and Kubernetes. Implementing CI/CD pipelines for smooth deployments and continuous model updates. Ensuring robust data security and privacy in compliance with relevant regulations such as GDPR and CCPA. Cross-Functional Collaboration: Partnering with product managers, designers, and other engineers to define technical solutions that enhance user experiences and scale effectively. Participating in code reviews, architectural planning, and knowledge-sharing sessions. In terms of qualifications, we are looking for someone with: Hands-on experience in AI/ML, particularly in NLP and recommendation systems. Proficiency in a modern backend language (Python, Node.js, Go, or Java) and familiarity with frontend frameworks like React, Vue.js, or Angular. Experience with cloud services for deploying and scaling AI applications, as well as knowledge of database technologies and data warehousing solutions. Understanding of ML Ops practices such as model versioning, A/B testing, monitoring, and retraining pipelines. Moreover, expertise in Conversational AI & NLP, and a Full Stack Mindset will be highly valued. Additionally, any knowledge in eCommerce, recommendation systems, or retail AI solutions, exposure to LangChain, LLM fine-tuning, or generative AI approaches, and a background in UI/UX or conversational design best practices would be considered a bonus. This is a full-time position based in Hosur, Tamil Nadu, and the expected start date is 30/07/2025. Join us in a fast-paced environment where you can enhance your ML and full stack skills.,

As an AI Engineer at Xerox Holdings Corporation based in Kochi, India, with 2-5 years of experience and a qualification in B. Tech /MCA /BCA, your primary responsibility will be to handle the analysis, design, coding, integration, testing, and maintenance of Intelligent Document Processing modules and systems. You will be tasked with developing NLP-based solutions for query and document analysis, processing, information extraction, and document classification, focusing on context-based information retrieval. Additionally, you will be expected to conduct research to advance the current state-of-the-art Deep Learning and NLP technologies. In this role, you will be required to build a deep understanding of the organization, its processes, and its customers. While you should possess knowledge and experience in your field, you will also have opportunities to acquire higher-level knowledge and skills. You will receive moderate guidance and direction in your day-to-day tasks, with your decision-making authority being guided by established policies, procedures, and business operations protocols. Your technical skills are expected to include proficiency and hands-on experience in Intelligent Document Processing, encompassing Digitization, OCR/ICR/OMR, LLM, Classification Methodologies, Data Extraction Methodologies, ML, AI, and NLP technologies. You should have prior experience in designing and developing highly scalable templates and training documents on IDP to enable efficient data extraction from semi/unstructured PDFs or images. Familiarity with Docker and Flask APIs is essential, along with experience working with Redis, Celery, and the ability to collaborate closely with Solution Architects/Team leads to prepare technical design documents and implement automated deployment. Furthermore, your role will involve working with AGILE Methodologies, participating in the Software Development Lifecycle (SDLC) using Code Management & Release Tools such as MS DevOps, GitHub, and Team Foundation Server. Proficiency in working with Relational Databases and SQL Scripting, specifically MS SQL Server, is required. A clear understanding of architecture, infrastructure requirements, and setup is crucial for this position. Experience or proficiency in .NET (C#, VB, C++, Java) and Python development languages would be beneficial for the role. In summary, as an AI Engineer at Xerox Holdings Corporation, you will play a vital role in advancing the technology solutions offered by the organization and meeting the evolving needs of the global workforce by leveraging your expertise in Intelligent Document Processing, NLP, and AI technologies.,

The Specialized Analytics Intermediate Analyst role at Citi is a developing professional position that involves dealing with problems independently and having the flexibility to solve complex issues. This role requires integrating specialized knowledge with industry standards and practices, understanding how the team collaborates with others to achieve objectives, and applying analytical thinking along with data analysis tools. Attention to detail is crucial for making judgments and recommendations based on factual information, and dealing with variable issues with potential business impact. The TTS Analytics team at Citi provides analytical insights to various functions within the global Treasury & Trade Services business, such as Product, Pricing, Client Experience, and Sales. The team focuses on enhancing client experience, driving acquisitions, cross-sell, and revenue growth by extracting relevant insights, identifying business opportunities, and using big data tools and AI/ML techniques to achieve data-driven business outcomes in collaboration with business and product partners. As a Specialized Analytics Intermediate Analyst (C11) in the TTS Analytics team, the role involves working on multiple analyses throughout the year to address business problems related to client experience. This includes leveraging various analytical approaches, tools, and techniques, working with multiple data sources, and providing data-driven insights to business partners and stakeholders. The role requires endless curiosity, working with large and complex data sets, evaluating, recommending, and supporting the implementation of business strategies. Key responsibilities include ideation on analytical projects, working with structured and unstructured data, documenting data requirements, data processing, cleaning, exploratory data analysis, statistical models/algorithms, data visualization techniques, and assessing risks when making business decisions. Building partnerships with cross-functional leaders is also essential. Qualifications for this role include 5-8 years of relevant experience in data science, substantial experience in resolving business problems in the financial services industry, utilizing text data for business value using NLP and LLM, developing analytical tools, applying ML, DL, and Gen AI techniques, working with complex data sources, and proficiency in Python and SQL. Skills required include strong analytical skills, logical reasoning, problem-solving ability, formulating analytical methodology, identifying trends and patterns, and manipulating data from big data environments. A Master's degree in Engineering, Technology, Statistics, Economics, or similar quantitative disciplines is preferred. Proficiency in Python, SQL, PySpark, MS Excel, and PowerPoint is essential, with experience in Tableau considered a plus. This job description provides an overview of the work performed, and additional job-related duties may be assigned as required.,

As an AI Engineer at our company, you will be responsible for contributing to the development and enhancement of our AI-driven platforms. Your deep technical expertise in artificial intelligence along with a proven track record in developing scalable AI solutions will play a crucial role in our team. Your key responsibilities as an AI Developer will include designing, developing, and implementing advanced AI/ML algorithms and models. Collaborating with cross-functional teams to understand business needs and translating them into technical requirements will be essential. You will also be tasked with researching and exploring new AI/ML techniques and technologies, as well as integrating third-party AI APIs into web or software applications. Furthermore, you will be developing intelligent workflows, chatbots, and automation systems based on predefined logic. Building and testing AI chat interfaces or recommendation flows using no-code/low-code AI platforms when required, training and optimizing AI/ML models on large datasets, and evaluating and improving their performance are also part of your responsibilities. Additionally, you will be responsible for collecting, cleaning, and preprocessing data from various sources to create high-quality datasets. It is imperative for you to stay up-to-date with the latest trends and developments in the field of AI/ML. Moreover, you will play a key role in mentoring and guiding developers, providing technical expertise, and fostering a culture of continuous learning and improvement within the team. The skills required for this role include a Bachelor's degree in Computer Science, IT, or related field, along with 12 years of experience in web/software development with AI integration. Strong programming skills in Python, a basic understanding of NLP and AI automation tools, excellent problem-solving and analytical skills, as well as working knowledge of JavaScript, Python, React.JS, or Node.js (preferred) are essential. Your ability to work independently and as part of a team, knowledge of software engineering best practices, including version control, Docker, testing, and CI/CD, and experience working in Agile development methodologies is a plus.,

As a Data Scientist at our Mohali location, you will be an integral part of our team, dedicated to building and optimizing machine learning models for real-world applications. Your focus will range from classical approaches to advanced neural networks, working with large datasets to uncover insights and develop scalable data products. Your primary responsibilities will include designing, developing, and evaluating both supervised and unsupervised machine learning models. You will collaborate closely with data and product teams to deliver comprehensive ML solutions. Utilizing Python and SQL, you will analyze extensive datasets to generate actionable insights and continuously enhance model performance using real-world data. Moreover, maintaining detailed documentation of models, experiments, and processes will be essential to your role. To excel in this position, you should hold a Bachelors's or Masters's degree in Computer Science, Data Science, Statistics, or a related field. Proficiency in Python programming (scikit-learn, TensorFlow/PyTorch, pandas, NumPy, etc.) and SQL for data manipulation is crucial. A solid understanding of core ML techniques such as classification, regression, clustering, and dimensionality reduction is required. Additionally, experience with NLP/LLM libraries like Hugging Face, spaCy, NLTK, or OpenAI APIs, along with a strong foundation in statistics, probability, and hypothesis testing, will be beneficial. Preferred qualifications include familiarity with vector databases, embeddings, fine-tuning, or prompt engineering for LLMs. Experience with cloud services like AWS, GCP, or Azure is a plus. This is a full-time, permanent position offering benefits such as paid sick time and Provident Fund. The work schedule is during the day shift and morning shift. Candidates must be willing to commute or relocate to Chandigarh, Chandigarh, before starting work. A minimum of 3 years of experience as a Data Scientist or in data science is required, along with proficiency in English. The work location is in person at Chandigarh, Chandigarh.,

As a Senior Data Scientist at CIS, you will be responsible for designing and developing machine learning algorithms and deep learning applications. With a required experience of 2.6 to 6 years, you will utilize your expertise in AI, ML, NLP, LLM, Opencv, Deep learning, Generative AI, and Computer Vision to solve complex problems with multilayered data sets. Your educational background should include a Bachelor's or Master's degree in computer science, mathematics, or a related field. Your primary objectives will include collaborating with various teams such as data scientists, administrators, data analysts, data engineers, and data architects to optimize existing machine learning libraries and frameworks. You will identify data distribution differences that could impact model performance and ensure accurate user recommendations. Additionally, staying updated with industry developments is crucial to excel in this role. Your duties and responsibilities will involve transforming data science prototypes, running machine learning tests, training and monitoring systems, and constructing optimized data pipelines. Moreover, you will consult with managers to refine machine learning objectives and extend existing libraries and frameworks. Proficiency in machine learning frameworks like Keras or PyTorch, along with strong analytical, problem-solving, and communication skills, will be essential for success in this role. This position is based in Indore, Madhya Pradesh, and follows a work from office model. You must be open to working on-site at various locations in India and globally, including the USA, UK, Australia, and the Middle East, with on-site benefits applicable. If you possess a passion for continuous learning, innovative thinking, and have a proven track record in machine learning engineering, we encourage you to apply from the listed locations for this exciting opportunity.,

Join us and be part of our exciting journey in becoming the global leader in video analytics! We are streamingo.ai, a deep learning company working in the domain of activity recognition. The company has developed 2 products on a MEAN stack architecture. We are now looking for a specific skill set to augment our Core platform team of engineers (They have developed https://deeplabel.app). We are a deep learning company focused on human activity detection, human object interaction, and object detection. Our core product https://deeplabel.app is a low code AI platform that simplifies development of enterprise-grade workflows for analysis of videos (focused on activity recognition and human object interaction). The platform has been architected to make it simple for an organization to create and deploy pipelines that accomplish automation of existing workflows (e.g., automated consumer behavior analysis, sports analysis (player tracking and similar use cases), automated shopper behavior analysis in retail, automated image analysis for healthcare, and many more. The cutting edge work in video AI we do has attracted excellent research talent from the top institutions of India. Join us to have a great career filled with learning, productization of cutting-edge AI research, and building scaled-out Web architectures using the latest and greatest technologies. Ideally, you'd have: - 4+ years of model training, deployment, and maintenance in a production environment. - Strong skills in computer vision, NLP, or deep learning. - Solid background in algorithms, data structures, and object-oriented programming. - Strong programming skills in Python, experience in TensorFlow or PyTorch. Nice to have: - Experience with deep learning with large-scale video processing. - Published research in areas of machine learning at major conferences and/or journals. - Experience working with a cloud technology stack (e.g., AWS or GCP) and developing machine learning models in a cloud environment. - Mentored and grown members of your team or been a tech lead on large projects.,

As a Python Developer within our Information Technology department, your primary responsibility will be to leverage your expertise in Artificial Intelligence (AI), Machine Learning (ML), and Generative AI. We are seeking a candidate who possesses hands-on experience with GPT-4, transformer models, and deep learning frameworks, along with a profound comprehension of model fine-tuning, deployment, and inference. Your key responsibilities will include designing, developing, and maintaining Python applications that are specifically tailored towards AI/ML and generative AI. You will also be involved in building and refining transformer-based models such as GPT, BERT, and T5 for various NLP and generative tasks. Working with extensive datasets for training and evaluation purposes will be a crucial aspect of your role. Moreover, you will be tasked with implementing model inference pipelines and scalable APIs utilizing FastAPI, Flask, or similar technologies. Collaborating closely with data scientists and ML engineers will be essential in creating end-to-end AI solutions. Staying updated with the latest research and advancements in the realms of generative AI and ML is imperative for this position. From a technical standpoint, you should demonstrate a strong proficiency in Python and its relevant libraries like NumPy, Pandas, and Scikit-learn. With at least 7+ years of experience in AI/ML development, hands-on familiarity with transformer-based models, particularly GPT-4, LLMs, or diffusion models, is required. Experience with frameworks like Hugging Face Transformers, OpenAI API, TensorFlow, PyTorch, or JAX is highly desirable. Additionally, expertise in deploying models using Docker, Kubernetes, or cloud platforms like AWS, GCP, or Azure will be advantageous. Having a knack for problem-solving and algorithmic thinking is crucial for this role. Familiarity with prompt engineering, fine-tuning, and reinforcement learning with human feedback (RLHF) would be a valuable asset. Any contributions to open-source AI/ML projects, experience with vector databases, building AI chatbots, copilots, or creative content generators, and knowledge of MLOps and model monitoring will be considered as added advantages. In terms of educational qualifications, a Bachelor's degree in Science (B.Sc), Technology (B.Tech), or Computer Applications (BCA) is required. A Master's degree in Science (M.Sc), Technology (M.Tech), or Computer Applications (MCA) would be an added benefit for this role.,

You are a highly experienced Senior Python & AI Engineer who will be responsible for leading the development of cutting-edge AI/ML solutions. Your role will involve architecting solutions, driving technical strategy, mentoring team members, and ensuring timely delivery of key projects. As a Technical Leader, you will architect, design, and implement scalable AI/ML systems and backend services using Python. You will also oversee the design and development of machine learning pipelines, APIs, and model deployment workflows. Your responsibilities will include reviewing code, establishing best practices, and driving technical quality across the team. In terms of Team Management, you will lead a team of data scientists, ML engineers, and Python developers. Providing mentorship, coaching, and performance evaluations will be vital. You will facilitate sprint planning, daily stand-ups, and retrospectives using Agile/Scrum practices. Additionally, coordinating with cross-functional teams such as product, QA, DevOps, and UI/UX will be necessary to deliver features on time. Your focus on AI/ML Development will involve developing and fine-tuning models for NLP, computer vision, or structured data analysis based on project requirements. Optimizing model performance and inference using frameworks like PyTorch, TensorFlow, or Hugging Face will be part of your responsibilities. Implementing model monitoring, drift detection, and retraining strategies will also be crucial. Project & Stakeholder Management will require you to work closely with product managers to translate business requirements into technical deliverables. You will own the end-to-end delivery of features, ensuring they meet performance and reliability goals. Providing timely updates to leadership and managing client communication if necessary will also be part of your role. Your Required Skills & Experience include a minimum of 5 years of professional experience with Python and at least 2 years working on AI/ML projects. You should have a strong understanding of ML/DL concepts, algorithms, and data preprocessing. Experience with frameworks like PyTorch, TensorFlow, scikit-learn, FastAPI/Django/Flask, deployment tools like Docker, Kubernetes, MLflow, and cloud platforms such as AWS/GCP/Azure is essential. In terms of leadership, you should have at least 3 years of experience in leading engineering or AI teams, along with excellent planning, estimation, and people management skills. Strong communication and collaboration skills are also required. Preferred Qualifications for this role include a Masters or PhD in Computer Science, Data Science, AI/ML, or related fields, exposure to MLOps practices, experience with RAG, LLMs, transformers, or vector databases, and prior experience in fast-paced startup or product environments. In return, you will have the opportunity to lead cutting-edge AI initiatives, encounter task variety and challenging opportunities, benefit from high autonomy, a flat hierarchy, and fast decision-making, as well as receive competitive compensation and performance-based incentives.,

The Amrita Vishwa Vidyapeetham, Bengaluru Campus is looking for qualified candidates for the position of Principal Project Associate. As a Principal Project Associate, you will be responsible for working on a 2-year project focused on designing, evaluating, and implementing governance frameworks to tackle the distinct challenges, risks, and ethical considerations of Large Language Models (LLMs) in various downstream applications. The ideal candidate should possess an M-Tech in Computer Science, Data Science, or AI with a strong proficiency in Python, Natural Language Processing (NLP), and Deep Learning. This position is based in Bengaluru, Karnataka, and there are 2 vacancies available for this role. If you are passionate about leveraging your expertise in the field of Computer Science or AI to contribute to cutting-edge projects, this opportunity is for you. Applicants who are under the age of 33 are particularly encouraged to apply for this role. This is a Project category job, and the deadline to submit your application is August 31, 2025. For more details or to apply for this position, please contact ea_gopalakrishnan@blr.amrita.edu.,

About Vivriti Group Vivriti Group is a trailblazer in the mid-market lending space, offering customized debt solutions to mid-sized enterprises. The group operates through two core businesses: Vivriti Capital Limited, a systematically important Non-Banking Financial Company (NBFC ND-SI) regulated by the Reserve Bank of India (RBI), and Vivriti Asset Management, a fixed-income fund manager managing multiple Alternative Investment Funds (AIFs). Vivriti Capital has disbursed over USD 3 billion to 300+ enterprise borrowers with a CRISIL rating of A+. Vivriti AMC has over USD 550 million in commitments from 900+ institutional and private contributors and has invested more than USD 600 million across 90+ entities. Job Title: Manager - AI Product Location: Chennai / Bangalore Employment Type: Full-time Department: Product Management Role Overview As an AI Product Manager at Vivriti Group, you will be responsible for owning the end-to-end lifecycle of AI/ML products focused on wholesale lending. This includes activities from ideation and strategy to development, launch, and iteration. Collaboration with data scientists, engineers, designers, credit, risk, and business stakeholders is crucial to ensure that AI initiatives align with user needs and business goals. Key Responsibilities - Define and execute the AI product roadmap in collaboration with leadership and cross-functional teams. - Translate business problems into clear AI/ML product requirements. - Collaborate with data scientists and engineers to define success metrics, datasets, and model evaluation frameworks. - Prioritize product features and improvements based on user research, data analysis, and business value. - Ensure model performance, explainability, fairness, and compliance with ethical standards. - Drive experimentation, A/B testing, and iteration cycles for continuous product improvement. - Act as the liaison between engineering, data science, design, and stakeholders to ensure timely and high-quality delivery. - Stay updated on emerging AI trends, technologies, and best practices. User Experience (UX) Champion a user-centric design approach by working with UX/UI designers to create intuitive, efficient, and delightful user experiences for complex financial workflows. Performance & Metrics Define key performance indicators (KPIs) for product success and provide regular reports on product performance to stakeholders. Requirements Must-Have: - Up to 3 years of product management experience, preferably with AI/ML-based products. - Basic understanding of machine learning concepts, model lifecycle, and data infrastructure. - Proven experience in translating complex technical requirements into scalable product solutions. - Familiarity with MLOps, model evaluation metrics, and deployment pipelines. - Exceptional communication and stakeholder management skills. - Experience with agile product development and tools (e.g., Jira, Confluence, Figma, GitHub). Nice-to-Have: - Hands-on experience with data analysis tools (e.g., SQL, Python, Jupyter). - Experience with LLMs, generative AI, or AI applications in NLP, computer vision, or recommendation systems. - Background in computer science, engineering, data science, or a related field. - Prior startup or high-growth environment experience.,

You will be joining the Digital Engineering Solutions team at CDM Smith as an Artificial Intelligence/Machine Learning Engineer. In this role, you will work within the Data Technology group to support strategic Architecture, Engineering, and Construction (AEC) initiatives by leveraging cutting-edge data technologies and analytics. Your responsibilities will include contributing to advanced analytics and implementing AI/ML solutions to address complex business challenges within the AEC domain. You will utilize state-of-the-art algorithms and techniques such as deep learning, NLP, computer vision, and time-series analysis for domain-specific use cases. Your role will involve analyzing large datasets to identify patterns and trends and ensuring AI models perform in line with business requirements. As an AI/ML Engineer, you will collaborate with Data Engineers, Data Scientists, and other stakeholders to design and implement end-to-end AI/ML solutions. You will also be involved in optimizing AI/ML workflows by implementing MLOps practices, including CI/CD pipelines, model retraining, and version control. Additionally, staying updated on the latest developments in technology and best practices will be crucial to your role. To succeed in this position, you should have a good understanding of the software development life cycle and experience with building and deploying machine learning models using frameworks like TensorFlow, PyTorch, or Scikit-learn. Knowledge of cloud-based AI/ML services, programming languages (e.g., R, Python, Scala), and MLOps practices is essential. You must also be familiar with data privacy, security, and ethical AI principles to ensure compliance with relevant standards. Strong problem-solving, critical thinking, and communication skills are required to effectively address technical challenges and engage with both technical and non-technical audiences. Minimum qualifications for this role include a Bachelor's degree and 1-2 years of related experience. Equivalent additional experience will be considered in lieu of a degree. The position does not require any travel. Background checks, including criminal history, employment verification, and drug testing, may be conducted as per CDM Smith's policies for certain positions. As an AI/ML Engineer at CDM Smith, you will play a key role in driving innovation and delivering impactful solutions for AEC professionals and client outcomes. Your contributions to the Data Technology group will help shape the future of AI/ML in the architecture, engineering, and construction industry.,

You will be responsible for developing new features and models as part of the core product through applied research. Your main task will be to understand, apply, and extend state-of-the-art NLP research to enhance customer experience. Collaboration with engineering, product, and customers is crucial to scientifically frame business problems and develop underlying AI models. Your role will also involve designing, implementing, testing, deploying, and maintaining innovative data and machine learning solutions to drive business growth. Additionally, you will be expected to think creatively to identify new opportunities and contribute to high-quality publications or patents. To be successful in this role, you should have at least 1 year of professional experience and hold a Bachelor's degree in Computer Science or a related field from a reputable institution. Your expertise should include practical experience in areas such as machine learning, deep learning, NLP, recommendation systems, and information retrieval. You must have experience in applying machine learning to solve complex business problems from scratch. Proficiency in Python and a deep learning framework like PyTorch or TensorFlow is essential. Furthermore, you should stay updated on the latest research trends in the NLP community. Strong verbal and written communication skills, as well as effective presentation abilities, are also important for this position.,

As an accomplished and forward-thinking academic leader in the field of Computer Science and Artificial Intelligence at Woxsen University, you will have the opportunity to shape the university's technological education and research agenda. Your role will involve mentoring the next generation of AI innovators, engineers, and researchers. Your key responsibilities will include delivering undergraduate and postgraduate courses in Computer Science, Artificial Intelligence, and related domains such as Machine Learning, Deep Learning, NLP, Computer Vision, Robotics, and Data Science. You will be responsible for developing and revising curriculum in line with the latest industry trends and academic advancements. Additionally, guiding students in projects, hackathons, capstone work, and entrepreneurial ventures will be an essential part of your role, fostering a student-centered learning environment that emphasizes critical thinking and innovation. In terms of research and publications, you will conduct advanced research in AI and allied areas with a focus on real-world applications. Regularly publishing in top-tier peer-reviewed journals such as IEEE, ACM, Scopus, ABDC, etc., will be expected. You will also be required to apply for funded research projects, patents, and collaborative industry grants, while mentoring junior faculty and research scholars in building strong research pipelines. As an academic leader, you will contribute to the university's strategic goals through curriculum development, accreditation processes, and academic policy formation. Participation in conferences, symposiums, and thought leadership forums representing Woxsen will be important, along with serving on academic committees and contributing to interdisciplinary collaborations across schools. Your engagement with industry and innovation will involve building partnerships with AI-focused companies, R&D centers, and tech startups for live projects, internships, and placements. Facilitating industry certifications, professional workshops, and guest lectures for student and faculty enrichment will be part of your responsibilities. Furthermore, developing AI labs, research clusters, and centers of excellence on campus will be crucial in fostering innovation. To qualify for this position, you must hold a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline from a recognized institution. A minimum of 5-10 years of teaching and/or industry experience in advanced computer science and AI domains is required. A strong research track record with publications in reputed journals/conferences, proficiency in programming languages such as Python, Java, C++, and frameworks like TensorFlow, PyTorch, OpenCV, etc., as well as experience with cloud platforms (AWS, GCP, Azure) and edge AI tools is desirable. Prior experience in curriculum design, academic leadership, or working with accreditation bodies (NBA/NAAC/ABET) will be advantageous for this role.,

As a Lead Data Scientist at our company, you will play a crucial role in our AI/ML team by leveraging your deep expertise in Generative AI, large language models (LLMs), and end-to-end ML engineering. Your responsibilities will involve designing and developing intelligent systems using advanced NLP techniques and modern ML practices. You will be a key player in building and optimizing ML pipelines and AI systems across various domains, as well as designing and deploying RAG architectures and intelligent chatbots. Collaboration with cross-functional teams to integrate AI components into scalable applications will be essential, along with providing technical leadership, conducting code reviews, and mentoring junior team members. You will drive experimentation with prompt engineering, agentic workflows, and domain-driven designs, while ensuring best practices in testing, clean architecture, and model reproducibility. To excel in this role, you must possess expertise in AI/ML, including Machine Learning, NLP, Deep Learning, and Generative AI (GenAI). Proficiency in working with the LLM stack, such as GPT, Chatbots, Prompt Engineering, and RAG, is required. Strong programming skills in Python, familiarity with essential libraries like Pandas, NumPy, and Scikit-learn, and experience with architectures like Agentic AI, DDD, TDD, and Hexagonal Architecture are essential. You should be comfortable with tooling and deployment using Terraform, Docker, REST/gRPC APIs, and Git, and have experience working on cloud platforms like AWS, GCP, or Azure. Familiarity with AI coding tools like Copilot, Tabnine, and hands-on experience with distributed training in NVIDIA GPU-enabled environments are necessary. A proven track record of managing the full ML lifecycle from experimentation to deployment is crucial for success in this position. Additionally, experience with vector databases, knowledge of GenAI frameworks like LangChain and LlamaIndex, contributions to open-source GenAI/ML projects, and skills in performance tuning of LLMs and custom models are considered advantageous. If you are passionate about leveraging AI technologies to deliver real-world solutions, we are excited to discuss how you can contribute to our cutting-edge AI/ML team.,

The Machine Learning Engineer position at our fast-growing AI/ML startup is ideal for a highly skilled and self-motivated individual with at least 4 years of experience. As a Machine Learning Engineer, you will be responsible for designing and deploying intelligent systems and advanced algorithms tailored to real-world business problems across diverse industries. The role requires a creative thinker with a strong mathematical foundation, hands-on experience in machine learning and deep learning, and the ability to work independently in a dynamic, agile environment. Your key responsibilities will include collaborating with cross-functional teams to design and develop machine learning and deep learning algorithms, translating complex client problems into mathematical models, building data pipelines and automated classification systems, conducting data mining, and applying supervised/unsupervised learning to extract meaningful insights. You will also be responsible for performing Exploratory Data Analysis (EDA), hypothesis generation, and pattern recognition, developing and implementing Natural Language Processing (NLP) techniques, extending and customizing ML libraries/frameworks, visualizing analytical findings, developing and integrating APIs, providing technical documentation and support, and staying updated with the latest trends in AI/ML. To qualify for this role, you should have a B.Tech/BE or M.Tech/MS in Computer Science, Computer Engineering, or a related field, a solid understanding of data structures, algorithms, probability, and statistical methods, proficiency in Python, R, or Java, hands-on experience with ML/DL frameworks and libraries, experience with cloud services, a strong grasp of NLP, predictive analytics, and deep learning algorithms, familiarity with big data technologies, expertise in building and deploying scalable AI/ML models, exceptional analytical, problem-solving, and communication skills, and a strong portfolio of applied ML use cases. Joining our team will provide you with the opportunity to work at the forefront of AI innovation, be part of a high-impact team driving AI solutions across industries, enjoy a flexible remote working culture with autonomy and ownership, receive competitive compensation, growth opportunities, and access to cutting-edge technology, and embrace our culture of Learning, Engaging, Achieving, and Pioneering (LEAP) in every project you touch. Apply now to be a part of our innovative and collaborative team!,

As an AI Developer, you will be responsible for designing and developing AI/ML models focused on natural language understanding, intelligent automation, and real-time decision-making utilizing NLP, LLMs, and RAG techniques. Your role will involve collaborating with cross-functional teams to seamlessly integrate AI models into platforms, ensuring scalability, accuracy, and efficiency. Additionally, you will support training and development programs across various locations in India, including client sites, academic institutions, and partner locations. Your responsibilities will include the continuous testing, refinement, and documentation of AI systems using tools such as Python, TensorFlow, Hugging Face, and cloud services. You will also be expected to engage in knowledge sharing activities, conduct technical workshops, and deliver on-site demos to promote AI solutions and drive adoption. This is a full-time position with benefits including cell phone reimbursement, provided meals, health insurance, paid sick time, and Provident Fund. The work schedule is during day shift hours. The ideal candidate should hold a Bachelor's degree and have a total of 1 year of experience, with specific experience as an AI Developer preferred. The work location for this role is in person. Join us in this exciting opportunity to contribute to cutting-edge AI projects and make a meaningful impact in the field of artificial intelligence.,

STAND 8 provides end-to-end IT solutions to enterprise partners across the United States and with offices in Los Angeles, New York, New Jersey, Atlanta, and more including internationally in Mexico and India. We are looking for a Senior AI Engineer / Data Engineer to be a part of our engineering team and contribute to building the future of AI-powered business solutions. In this role, you will be involved in developing intelligent systems that make use of advanced large language models (LLMs), real-time AI interactions, and cutting-edge retrieval architectures. Your efforts will have a direct impact on products that are revolutionizing business operations, particularly in the areas of recruitment, data extraction, and intelligent decision-making. This position offers an exciting opportunity for individuals who excel in constructing production-grade AI systems and are adept at working across the full spectrum of modern AI technologies. Responsibilities - Design, construct, and enhance AI-powered systems utilizing multi-modal architectures encompassing text, voice, and visual elements. - Incorporate and deploy LLM APIs sourced from providers like OpenAI, Anthropic, and AWS Bedrock. - Develop and manage RAG (Retrieval-Augmented Generation) systems featuring hybrid search, re-ranking, and knowledge graphs. - Create real-time AI functionalities through the utilization of streaming analytics and voice interaction tools such as ElevenLabs. - Establish APIs and pipelines using FastAPI or similar frameworks to facilitate AI workflows. - Process and evaluate unstructured documents with an understanding of layout and semantics. - Implement predictive models that drive intelligent business recommendations. - Deploy and sustain scalable solutions leveraging AWS services like EC2, S3, RDS, Lambda, Bedrock, among others. - Utilize Docker for containerization and oversee CI/CD workflows and version control via Git. - Debug, monitor, and optimize performance for large-scale data pipelines. - Collaborate seamlessly with product, data, and engineering teams across different functions. Qualifications - Possess 5+ years of experience in AI/ML or data engineering utilizing Python in production environments. - Hands-on familiarity with LLM APIs and frameworks such as OpenAI, Anthropic, Bedrock, or LangChain. - Previous experience in deploying vector databases like PGVector, Weaviate, FAISS, or Pinecone in production settings. - Solid grasp of NLP, document extraction, and text processing. - Proficiency in AWS cloud services including Bedrock, EC2, S3, Lambda, and monitoring tools. - Experience with FastAPI or similar frameworks for constructing AI/ML APIs. - Knowledge of embedding models, prompt engineering, and RAG systems. - Proficiency in asynchronous programming for high-throughput pipelines. - Proficiency in Docker, Git workflows, CI/CD pipelines, and adherence to testing best practices. Preferred - Background in HRTech or ATS integrations (e.g., Greenhouse, Workday, Bullhorn). - Experience working with knowledge graphs (e.g., Neo4j) for semantic relationships. - Exposure to real-time AI systems (e.g., WebRTC, OpenAI Realtime API) and voice AI tools (e.g., ElevenLabs). - Advanced Python development skills employing design patterns and clean architecture. - Experience in large-scale data processing (1-2M+ records) with cost optimization techniques for LLMs. - Proficiency in event-driven architecture utilizing AWS SQS, SNS, or EventBridge. - Hands-on experience with fine-tuning, evaluating, and deploying foundation models.,

The Data Science Consultant position is a challenging opportunity for someone with 4-9 years of experience. In this role, you will be responsible for driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Your main responsibilities will include providing strategic advisory services, conducting market research, and developing data-driven recommendations to enhance business performance. We are looking for a skilled and experienced Data Scientist to join our Hi-Tech practice. The ideal candidate should have hands-on experience in data science within industries such as semiconductors, enterprise technology, consumer technology, and medical technology. As a Data Scientist, you will be tasked with developing AI models and applying GenAI techniques in various areas such as marketing & consumer analytics, predictive asset maintenance, production optimization, supply chain, sales & channel partner program analytics, and connected products. In this role, you will collaborate with cross-functional teams to gather requirements, design solutions, and deploy models into production environments. You will also be responsible for developing and implementing GenAI based solutions through contextual prompt engineering and prompt tuning, and supporting solution architects on the design of GenAI-powered solutions/assets. Utilizing your expertise in PLM/ERP/CRM/Contact Center systems to integrate data sources and ensure seamless operation of AI solutions will be a key part of your responsibilities. You will design and develop machine learning models using Python, with proficiency in NLP and Computer Vision techniques. Additionally, you will architect functional solutions and provide technical guidance to enhance the performance and scalability of AI systems. Experience with cloud platforms, particularly Azure/GCP, and familiarity with AWS will be beneficial in this role. It is essential to stay updated on emerging technologies and industry trends to contribute to continuous improvement initiatives within the organization. If you are seeking a challenging role that allows you to apply your data science skills and industry knowledge, this position is ideal for you.,

You will be part of a dynamic team of researchers, data scientists, and developers as an AI/ML Developer. Your primary responsibility will involve working on cutting-edge AI solutions in various industries like commerce, agriculture, insurance, financial markets, and procurement. Your focus will be on developing and optimizing machine learning and generative AI models to address real-world challenges effectively. Your key responsibilities will include developing and optimizing ML, NLP, Deep Learning, and Generative AI models. You will be required to research and implement advanced algorithms for supervised and unsupervised learning. Additionally, you will work with large-scale datasets in distributed environments and understand business processes to select and apply the most suitable ML approaches. Ensuring the scalability and performance of ML solutions will also be a crucial part of your role. Collaboration with cross-functional teams, such as product owners, designers, and developers, will be essential. You will be expected to solve intricate data integration and deployment challenges while effectively communicating results using data visualization. Working in global teams across different time zones will also be part of your job scope. To be successful in this role, you should possess strong experience in Machine Learning, Deep Learning, NLP, and Generative AI. Hands-on expertise in frameworks like TensorFlow, PyTorch, or Hugging Face Transformers is required. Experience with LLMs, model fine-tuning, and prompt engineering will be beneficial. Proficiency in Python, R, or Scala for ML development is necessary, along with knowledge of cloud-based ML platforms such as AWS, Azure, and GCP. Experience with big data processing using tools like Spark, Hadoop, or Dask is also preferred. Your ability to scale ML models from prototypes to production and your strong analytical and problem-solving skills will be highly valued. If you are enthusiastic about pushing the boundaries of ML and GenAI, we are excited to hear from you!,

You will be responsible for building curated enterprise-grade solutions for GenAI application deployment at a production scale for clients. Your role will involve a solid understanding and hands-on skills for GenAI application deployment, which includes development and engineering tasks. This will include data ingestion, selecting suitable LLMs, implementing simple and advanced RAG, setting up guardrails, prompt engineering for optimization, ensuring traceability and security, evaluating LLMs, enabling observability, and deploying at scale on the cloud or on-premise. It is crucial that candidates also showcase knowledge on agentic AI frameworks, with a preference for those having a strong background in ML with engineering skills for the LLMOps role. The ideal candidate should possess 3 - 5 years of experience in working on ML projects, encompassing tasks such as business requirement gathering, model development, training, deployment at scale, and monitoring model performance for production use cases. Proficiency in Python, NLP, Data Engineering, Langchain, Langtrace, Langfuse, RAGAS, and optionally AgentOps is essential. Prior experience working with both proprietary and open-source large language models, fine-tuning LLMs, creating distilled models from hosted LLMs, building data pipelines for model training, and tuning model performance, RAG, guardrails, prompt engineering, evaluation, and observability is required. Moreover, candidates should have experience in GenAI application deployment on cloud and on-premises at scale for production, creating CI/CD pipelines, working with Kubernetes, deploying AI services on at least one cloud platform (AWS/GCP/Azure), creating workable prototypes using Agentic AI frameworks like CrewAI, Taskweaver, AutoGen, and optionally developing lightweight UI using streamlit or chainlit. Desired experience with open-source tools for ML development, deployment, observability, and integration, as well as a background in DevOps and MLOps, will be advantageous. Proficiency in collaborative code versioning tools such as GitHub/GitLab, along with strong communication and presentation skills, is essential. A B.E/B.Tech/M.Tech in Computer Science or a related technical degree or equivalent qualification is required. If you are someone who enjoys challenging growth opportunities and thrives in a dynamic environment working alongside enthusiastic over-achievers, this role might be the perfect fit for you.,

Position Lead Data Scientist JD Good understanding of GenAI LLM models (ChatGPT, LLAMA 2, etc.), Vector databases, LangChain, and LlamaIndex. Hands-on experience with Deep Learning architecture, NLP, and OCR. Expertise in deep learning frameworks such as TensorFlow, PyTorch, and Keras. Experience with Generative AI models like GANs, VAEs, and transformers. Knowledge of Agentic AI concepts and applications. Proficiency in data preprocessing, feature engineering, and model evaluation. Experience with cloud platforms (AWS, Azure, Google Cloud) for deploying AI models. Python Fast API experience, SDA based implementations for all the APIs. Good understanding of Prompt Engineering Deep Learning Frameworks:TensorFlow, PyTorch, Keras Generative AI Models:GANs, VAEs, Transformers Agentic AI Tools:OpenAI Gym, Unity ML-Agents Natural Language Processing Libraries:NLTK, SpaCy, Hugging Face Transformers Computer Vision Libraries:OpenCV, TensorFlow, PyTorch Total Experience 7-11 Yrs Relevant Experience 6+years Any Preferred Skills Must have Skills GenAI LLM models (ChatGPT, LLAMA 2, etc.), Vector databases, LangChain, and LlamaIndex. Role (Development/Support) Development Shift (General/Rotational) Timings General Max Budget 30 LPA Location Mumbai, Pune, Chennai, Noida, Bangalore Office Mode Hybrid

We are seeking a dynamic and technically strong AI Lead with 68 years of industry experience, including a minimum of 5 years in AI/ML and Conversational AI technologies, with a specific focus on Microsofts AI ecosystem. The ideal candidate will lead the design, development, and delivery of intelligent solutions using Azure OpenAI, Copilot Studio, Microsoft Bot Framework, and AI Foundry. The individual will act as a hands-on technical lead, collaborating closely with product teams, architects, and business stakeholders to build impactful AI-powered copilots, chatbots, and enterprise automation solutions. Key Responsibilities: Lead end-to-end technical implementation of AI-driven projects using Microsoft AI tools: Azure OpenAI, Copilot Studio, and Bot Framework. Design and develop intelligent copilots, multi-turn chatbots, and custom GPT solutions integrated within enterprise tools such as Microsoft Teams, SharePoint, and Dynamics 365. Translate business requirements into technical architecture and AI flows using OpenAI APIs, prompt engineering, and integration with enterprise systems. Leverage AI Foundry to manage the AI lifecycle including model selection, deployment, monitoring, and optimization. Architect AI/ML solutions that use Retrieval-Augmented Generation (RAG), semantic search, and contextual memory frameworks (LangChain, Semantic Kernel, etc.). Collaborate with product owners and business analysts to identify high-value use cases and define solution roadmaps. Develop and execute POCs and MVPs with hands-on coding, configuration, and orchestration of LLMs and chatbot pipelines.Integrate with enterprise data sources via APIs, GraphQL, and Microsoft Graph to create holistic user experiences. Mentor junior developers and work with DevOps teams to ensure stable deployment, CI/CD, and performance monitoring. Create documentation and reusable components/templates for repeated use across the organization. Stay current on Microsofts AI advancements and recommend tools, features, or practices that improve time-to-value and performance. Must-Have Skills: 6-8 years of overall experience, including 5+ years in AI/ML or Conversational AI Deep hands-on knowledge of: Azure OpenAI services and APIs Copilot Studio for building Microsoft 365-integrated assistants Microsoft Bot Framework SDK/Composer for chatbot development Prompt engineering for LLM optimization Strong Python or Node.js development skills (for AI orchestration and integration) Experience with enterprise system integration using APIs (Microsoft Graph, REST, JSON, OAuth) Familiarity with Azure ML, Azure Cognitive Services, and Azure DevOps Ability to design RAG-based architectures, manage embeddings, and leverage vector databases (e.g., Azure AI Search) Strong understanding of natural language processing (NLP) and foundational models (GPT, BERT) Excellent communication, leadership, and stakeholder engagement capabilities Good-to-Have Skills: Experience with Semantic Kernel or LangChain Working knowledge of AI Foundry for orchestrating AI pipelines Familiarity with Copilot extensibility and Teams App Studio Exposure to M365 Copilot APIs and custom plugin creation Knowledge of Responsible AI, data security, and compliance principles Familiarity with containerized deployment (Docker, Kubernetes)Experience in building dashboards and analytics (Kibana, Grafana) to visualize bot usage and performance Basic understanding of Power Platform (Power Automate, Power Apps) and its integration with AI