847 Nlp Jobs - Page 2

As a Software Development Lead at MetLife, you will be responsible for designing, developing, and maintaining software solutions within a defined system, platform, or product. Your role will involve ensuring consistency across enterprise data, reducing risks, and promoting efficiencies to support the organization's goals and objectives. You will lead the creation of architectural specifications, document user requirements, develop user stories, and estimate technology solutions for large complex features in collaboration with the Product Owner. Your responsibilities will include leading the technical design and development of applications/platforms, ensuring disaster recovery, privacy, and security alignment for application/platform stability, developing specific software/platform components, and conducting unit testing. You will also lead peer reviews of solution designs, investigate and resolve production incidents, manage prioritization of problems, incidents, and service requests, and lead production support activities. In this role, you are required to have a Bachelor's degree or diploma with a minimum of 15 years of education, along with at least 7 years of experience. Your technical skills should include an end-to-end understanding of contact center applications, working experience with Genesys, Conversational AI, NLP, Voice bots, Intelligent Virtual Agents, DevSecOps, CI/CD, IaC, MS Azure Cloud, Cloud Native Technologies, Application Design/Architecture, Database Development tools, Secure design and coding practices, automated testing, and application operations/monitoring. Additionally, you should possess skills in SAFe for Teams, SAFe Scrum Master Certification, collaboration, communication/presentation, Agile practices, collaboration tools, product/business/industry knowledge, and customer experience. MetLife, a globally recognized financial services company, is committed to creating a more confident future for colleagues, customers, communities, and the world. If you are inspired to be part of a transformative journey in financial services, join us at MetLife where it's #AllTogetherPossible.,

Job Description As a Generative AI Engineer at Endorize, you will play a crucial role in revolutionizing primary healthcare through cutting-edge AI technology and a patient-first approach. Your primary responsibility will involve developing, deploying, and optimizing AI models specifically tailored for healthcare applications. This full-time hybrid role based in Chennai offers some work-from-home flexibility, providing you with the opportunity to make a significant impact in the field of healthcare technology. Your daily tasks will revolve around coding, debugging, data preprocessing, model training, and evaluating AI performance. With your expertise in AI/ML frameworks like TensorFlow, PyTorch, and scikit-learn, you will collaborate with cross-functional teams to seamlessly integrate AI solutions into Endorize's innovative products and services. Your strong programming skills in languages such as Python, Java, or similar, coupled with your proficiency in natural language processing (NLP) and computer vision, will be essential in driving the success of our healthcare solutions. To excel in this role, you should possess a solid foundation in data preprocessing, model training, and evaluation techniques. Your ability to work collaboratively within a team, coupled with effective communication skills, will be crucial in ensuring the successful implementation of AI technologies at Endorize. While knowledge of healthcare industry standards and practices is advantageous, a Bachelors or Masters degree in Computer Science, Engineering, or a related field is required to be considered for this position. Join us at Endorize, where we are redefining healthcare by merging technology with compassionate care. Be part of a team that is dedicated to making healthcare more accessible, engaging, and personalized for all individuals. Let's shape the future of healthcare together, where technology meets care.,

Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, the mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods, and models. In collaboration with leading academics, industry experts, and highly skilled engineers, the goal is to equip customers to generate sophisticated new insights from the biggest of big data. Join the team to do the best work of your career and make a profound social impact as an Advisor on the Data Science Team in Bangalore. As a Data Science Advisor, you will contribute to the business strategy and influence decision-making based on information gained from deep dive analysis. You will produce actionable and compelling recommendations by interpreting insights from complex data sets. Designing processes to consolidate and examine unstructured data to generate actionable insights will be part of your responsibilities. Additionally, you will partner with business leaders, engineers, and industry experts to construct predictive models, algorithms, and probability engines. You will: - Partner with internal and external teams to understand customer requirements and develop proposals. - Conduct interactions with external customers to gather project requirements, provide status updates, and share analytical insights. - Implement preliminary data exploration and data preparation steps for model development/validation. - Apply a broad range of techniques and theories from statistics, machine learning, and business intelligence to deliver actionable business insights. - Solution, build, deploy, and set up monitoring for models. Qualifications: - 6+ years of related experience with proficiency in NLP, Machine Learning, Computer Vision, and GenAI. - Working experience in data visualization (e.g., Power BI, matplotlib, plotly). - Hands-on experience with CNN, LSTM, YOLO, and database skills including SQL, Postgres SQL, PGVector, and ChromaDB. - Proven experience in MLOps and LLMOps, with a strong understanding of ML lifecycle management. - Expertise with large language models (LLMs), prompt engineering, fine-tuning, and integrating LLMs into applications for natural language processing (NLP) tasks. Desirable Skills: - Strong product/technology/industry knowledge and familiarity with streaming/messaging frameworks (e.g., Kafka, RabbitMQ, ZeroMQ). - Experience with cloud platforms (e.g., AWS, Azure, GCP). - Experience with web technologies and frameworks (e.g., HTTP/REST/GraphQL, Flask, Django). - Skilled in programming languages like Java or JavaScript. Dell Technologies is committed to providing equal employment opportunities for all employees and creating a work environment free of discrimination and harassment. If you are looking for an opportunity to grow your career with advanced technology and some of the best minds in the industry, this role might be the perfect fit for you. Join Dell Technologies to build a future that works for everyone because Progress Takes All of Us.,

The position available is for the role of Data Scientist on a permanent, full-time basis. The ideal candidate should possess at least 7 years of experience in the field. The job location can be in Noida, Gurgaon, Pune, or Bangalore, with the standard working week being 5 days. The work mode for this role is Hybrid. The mandatory skills required for this position include expertise in Transformer Models, with experience in either finetuning or training on Open-Source Transformer-based models. The candidate should have completed projects involving LLM, NLP, LLAMA, Hugging face, and RAG. Proficiency in Python coding is a must, along with experience in Gen AI projects. Additionally, the candidate should have knowledge of either Machine Learning or Deep Learning. Experience with Conversational AI/Chatbot is considered a plus for this role.,

The Machine Learning Engineer / Data Scientist (Generative AI & Data Engineering) position based in Gurgaon/NCR requires 3 to 5 years of experience in AI & Data Science Enterprise Delivery. As a Team Manager, your primary responsibility will be to manage client expectations and collaborate with stakeholders to fulfill customer requirements. Your duties will encompass various aspects of Data Science, including developing machine learning models to support recommendation systems and NLP projects. You will be tasked with providing actionable insights to optimize products and services. In Data Engineering, your role involves building and maintaining scalable ETL pipelines, optimizing data storage solutions, and ensuring data accuracy and reliability for analytics. Moreover, you will analyze complex datasets to identify trends and patterns, generating insights that drive strategic decisions and enhance client services. Collaborating with product and service teams, you will translate data needs into technical solutions. You will report to the VP Business Growth and engage with external stakeholders, primarily clients. Your technical skills should include proficiency in Python (Pandas, NumPy), SQL, and Java, along with experience in LLMs, LangChain, Generative AI technologies, ML frameworks (TensorFlow, PyTorch), and data engineering tools (Spark, Kafka). Soft skills such as the ability to work independently or in a team, excellent communication, critical thinking, problem-solving abilities, and a proactive approach in dynamic environments are essential. Academic qualifications entail a Bachelor's Degree in Computer Science, Data Analytics, Engineering, or a related field, with 3 to 5 years of experience in Data Science and Data Engineering. Proficiency in key data engineering concepts and strong communication skills are crucial for success in this role.,

Embark on a transformative journey with SwaaS, where innovation meets opportunity. Explore thrilling career prospects at the cutting edge of technology. Join our dynamic team, dedicated to shaping the future of IT. At SwaaS, we offer more than just jobs; we provide a platform for growth, collaboration, and impactful contributions. Discover a workplace where your aspirations align with limitless possibilities. Your journey towards a rewarding career in technology begins here, with SwaaS as your guide. Perks and Benefits We go beyond Salaries and provide guaranteed benefits that speak about Swaas value and culture. Our employees get common benefits and also performance-based individual benefits Performance-based benefits We promote a culture of equity. Accept the challenge, deliver the results, and get rewarded. Healthcare Our comprehensive medical insurance helps you cover your urgent medical needs. Competitive Salary We assure with pride that we are on par with the industry leaders in terms of our salary package. Employee Engagement A break is always needed out of the regular monotonous work assignments. Our employee engagement program helps our employees enhance their team bonding. Upskilling We believe in fostering a culture of Learning and harnessing the untapped potential in our employees. Everyone is encouraged and rewarded for acquiring new skills and certifications. Junior AI/ML Developer (Entry-Level) (Experience: 0-2 years) Tech Stack: Python, Node.js (Javascript), LangChain, LLama Index, OpenAI API, Perplexity.ai API, Neo4j, PostgreSQL Responsibilities: - Assist in developing AI-driven solutions using LLMs (ChatGPT, Perplexity.ai) and RAG (Retrieval-Augmented Generation). - Work on intent extraction and chatbot development, integrating APIs like OpenAI or LLama. - Support the design and testing of AI-enhanced workflows. - Implement database interactions (MySQL or PostgreSQL for structured data). - Write and optimize Python/Node.js scripts for the applications. - Debug and refine LLM-powered chatbots. Requirements: - Strong programming skills in Python (FastAPI, Flask) or Node.js. - Exposure to NLP, LLMs, AI APIs (ChatGPT, Perplexity.ai, LangChain). - Familiarity with RESTful APIs and Graph Databases (Neo4j). - Basic understanding of cloud platforms (AWS, Azure, GCP). - Passion for AI, NLP, and chatbot development. - Bonus: Knowledge of UI frameworks (React, Next.js). - Good to have - Pinecone or equivalent vector databases.,

As a highly skilled Senior Gen AI Engineer, you will be responsible for developing and deploying AI solutions across various domains. Your role will involve designing and implementing deep learning models, utilizing large language models, working with databases for data management and analysis, and implementing AI solutions on cloud platforms like Azure and AWS. Additionally, you will develop containerized applications using Docker and other containerization tools to drive business value and enhance operational efficiency. To qualify for this role, you should have a Bachelor's degree in computer science, engineering, or a related field from Tier 1 colleges. You should possess at least 3 years of experience in AI/ML, particularly in computer vision, generative AI, and NLP. Proficiency in programming languages such as Python and C is essential, along with a strong background in deep learning and large language models. Familiarity with various databases and vector databases, as well as hands-on experience with cloud services and containerization tools like Docker and Kubernetes, are also required. If you are passionate about AI and have a proven track record in developing and deploying AI solutions, this role offers an exciting opportunity to contribute to cutting-edge projects that drive innovation and business growth. Join our team in Pune/Bangalore and be part of a dynamic work environment that supports hybrid work mode.,

You will be joining LTIMindtree, a global technology consulting and digital solutions company that empowers enterprises to rethink business strategies, drive innovation, and achieve growth through digital technologies. With a team of over 86,000 professionals in more than 30 countries, LTIMindtree collaborates with 700+ clients to provide domain expertise and technological solutions for competitive advantage, enhanced customer experiences, and business success in today's fast-paced world. As a Data Scientist/Lead/Architect, your responsibilities will include developing AI and machine learning models using Microsoft Azure AI tools like Azure Machine Learning Cognitive Services and OpenAI integration. You will support data collection, cleaning, and preprocessing for structured, unstructured, and geospatial datasets, including data from Esri platforms. Collaborating with software engineers, data scientists, GIS analysts, and business stakeholders, you will integrate AI functionality into modern mobile and web applications. Additionally, you will build, deploy, and monitor AI solutions using Azure to ensure scalability and performance. Your role will also involve creating and maintaining technical documentation, participating in product planning and agile development meetings, and staying updated on the latest advancements in Microsoft AI, including Responsible AI practices and Azure OpenAI capabilities. You will champion the adoption of AI and GIS technologies within the organization through demos, technical workshops, and stakeholder presentations. To excel in this role, you should have proficiency in Python and experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch. Hands-on experience with Microsoft Azure tools for AIML model training, deployment, and monitoring is essential. Familiarity with Esri's ArcGIS platform, Python-based tools like ArcPy, and understanding of spatial data, GIS workflows, and data visualization using maps are required. Strong problem-solving skills, attention to detail, and clear communication abilities with both technical and non-technical audiences are key for success in this position. Preferred skills include experience with Azure Machine Learning Cognitive Services, Power Platform, Power BI, Power Automate, cloud-native architectures, DevOps practices, Esri products like ArcGIS Online, ArcGIS Pro, and ArcGIS Enterprise, as well as exposure to containerization, Docker, REST APIs, and deploying ML models into production environments. An interest in NLP, computer vision, or predictive analytics in a GIS context will be advantageous. For qualifications, a Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Geographic Information Systems, or related fields is required, while a Master's degree is a plus. Internship or project experience applying AIML techniques using Microsoft tools and cloud services is preferred. Motivation to stay current with evolving Azure AI and GIS technologies, excellent interpersonal, organizational, and written communication skills, and the ability to manage multiple priorities and deliver high-quality work in a fast-paced, agile development environment are essential qualities for this role. LTIMindtree is committed to being an equal opportunity employer and promotes diversity and inclusion initiatives to create a gender-sensitive and inclusive work environment. These initiatives focus on the development, engagement, growth, and retention of women in the workplace.,

You will be joining our team as a Senior Data Scientist with expertise in Artificial Intelligence (AI) and Machine Learning (ML). The ideal candidate should possess a minimum of 5-7 years of experience in data science, focusing on AI/ML applications. You are expected to have a strong background in various ML algorithms, programming languages such as Python, R, or Scala, and data processing frameworks like Apache Spark. Proficiency in data visualization tools and experience in model deployment using Docker, Kubernetes, and cloud services will be essential for this role. Your responsibilities will include end-to-end AI/ML project delivery, from data processing to model deployment. You should have a good understanding of statistics, probability, and mathematical concepts used in AI/ML. Additionally, familiarity with big data tools, natural language processing techniques, time-series analysis, and MLOps will be advantageous. As a Senior Data Scientist, you are expected to lead cross-functional project teams and manage data science projects in a production setting. Your problem-solving skills, communication skills, and curiosity to stay updated with the latest advancements in AI and ML are crucial for success in this role. You should be able to convey technical insights clearly to diverse audiences and quickly adapt to new technologies. If you are an innovative, analytical, and collaborative team player with a proven track record in AI/ML project delivery, we invite you to apply for this exciting opportunity.,

As a Junior Data Scientist at GWC DATA.AI in Kolkata, India, you will be part of a dynamic Data Science team, collaborating with senior professionals to work on data analysis, predictive modeling, and business intelligence projects. This role is ideal for recent graduates or individuals with up to 2 years of experience in data analytics or machine learning. Your responsibilities will include collecting, cleaning, and analyzing large datasets, building machine learning models and algorithms, creating data visualizations, collaborating with cross-functional teams, and documenting data science workflows and outcomes. You will also be expected to stay updated on the latest trends and technologies in the field of data science. To be successful in this role, you should have a Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Proficiency in Python or R for data analysis, familiarity with SQL, and a solid understanding of statistics, data wrangling, and exploratory data analysis are required. Additionally, having skills in Machine Learning, Deep Learning, NLP, Computer Vision, and GenAI will be beneficial. Strong problem-solving and communication skills, along with a willingness to learn in a fast-paced environment, are essential. This is a full-time position with benefits including paid sick time and Provident Fund. The work schedule is during the day shift, and the role requires in-person work in Kolkata, West Bengal. If you are passionate about data science and looking to grow your career in a collaborative environment, we encourage you to apply before the application deadline on 10/08/2025.,

This role is for one of the Weekday's clients. We are an innovative company at the forefront of AI-driven solutions, specializing in cutting-edge technologies to solve real-world problems. We are seeking a talented and passionate Computer Vision Engineer with expertise in both Computer Vision and Natural Language Processing (NLP) to join our dynamic team. Key Responsibilities: Develop and implement state-of-the-art computer vision algorithms for image and video processing tasks such as object detection, image segmentation, feature extraction, and recognition. Design, build, and deploy NLP models for tasks such as text recognition from images (OCR), sentiment analysis, and text classification. Collaborate with data scientists and machine learning engineers to integrate computer vision and NLP models into production systems. Work with large datasets to train and fine-tune models, ensuring high accuracy and performance. Conduct research to stay updated on the latest advancements in computer vision and NLP, and apply them to ongoing projects. Optimize model performance for real-time applications on various platforms (e.g., cloud, mobile, edge devices). Analyze and preprocess datasets including images, videos, and text for training and validation. Collaborate with cross-functional teams to ensure seamless integration of computer vision and NLP components within larger applications. Qualifications: Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Proven experience (3+ years) in developing computer vision solutions and NLP models. Strong proficiency in Python and relevant libraries such as OpenCV, TensorFlow, PyTorch, Keras, and scikit-learn. Hands-on experience with deep learning frameworks (e.g., CNNs, RNNs, Transformers) for both computer vision and NLP tasks. Expertise in Natural Language Processing tasks such as tokenization, text embedding, and sequence-to-sequence models. Familiarity with Optical Character Recognition (OCR) tools and techniques. Experience working with datasets for object detection, semantic segmentation, and text recognition from visual data. Proficiency in deploying and scaling machine learning models in production environments (AWS, GCP, Azure). Strong problem-solving skills and the ability to work independently and collaboratively in a team environment. Preferred Skills: Knowledge of Reinforcement Learning (RL) and how it can be applied to vision tasks. Familiarity with multimodal machine learning, integrating vision and language models. Experience in edge computing for deploying models in real-time environments. Strong understanding of cloud-based AI/ML pipelines.,

As a Senior AI Architect at Dailoqa, you will have the opportunity to shape the future of AI within the financial services industry. Dailoqa is a dynamic company at the forefront of combining human expertise with artificial intelligence to address complex challenges in the financial sector. Led by a global team of former CIOs and industry leaders, we are focused on making a high impact with our innovative solutions. To be successful in this role, you should have over 15 years of experience in the tech industry, with a minimum of 8 years specifically in machine learning and data science, and 4-5 years in Generative AI. You should possess a track record of developing scalable AI solutions tailored for enterprise applications. Additionally, you should have deep expertise in GenAI, NLP, Computer Vision, LLMs, and RAG strategies. Proficiency in Python, REST APIs, NoSQL, RDBMS, and cloud platforms such as Azure, OpenAI, Databricks, and Synapse is essential. At Dailoqa, your responsibilities will include collaborating with financial services clients worldwide, designing end-to-end AI solutions that deliver tangible business value, leading agile cross-functional teams, and working in a fast-paced, innovation-driven environment. This role offers the opportunity for rapid growth and the chance to play a significant role in shaping the company's future. We are seeking individuals who are passionate about leadership, mentoring, and innovation. If you thrive in a fast-paced, customer-focused, and mission-driven environment that values simplicity, agility, and impact, Dailoqa could be the perfect fit for you. If you are looking to be part of a team that is committed to building the future of AI and are eager to be fully immersed in a dynamic, forward-thinking organization, we encourage you to apply. Please submit your resume to Arundhati@manasamitr.com to be considered for this exciting opportunity. Join us at Dailoqa and be a part of a team that is dedicated to revolutionizing the financial services industry through the power of artificial intelligence. #AIJobs #GenerativeAI #SeniorAIArchitect #TechJobs #ML #FinTech #Dailoqa #ArtificialIntelligence #Hiring #AILeadership,

The Data Scientist position in Ahmedabad requires a minimum of 2+ years of experience. As a Data Scientist, you will be responsible for developing, deploying, and implementing solutions for artificial intelligence and machine learning problems and business needs. Your role will involve working with cross-functional teams to collect requirements, analyze data, and create/deploy machine learning models. It is essential to stay updated with the latest advancements in AI/ML research and technologies to drive continuous innovation. Your job will involve a combination of technical implementation and effective communication, collaboration, and documentation to ensure successful project outcomes and knowledge sharing within the team. You should have advanced knowledge of predictive analytics and time series analysis, utilize data-driven insights for decision-making, expertise in NLP techniques, experience in fine-tuning open-source LLMs, proficiency in SQL and Python for building and deploying machine learning models, writing clean and concise code, and adopting methods of version control, continuous integration, and deployment for reliable code management. Your responsibilities will include coordinating with QA engineers for proper testing procedures, implementing automated testing frameworks for expanded test coverage and efficiency, and maintaining comprehensive documentation for all developed solutions and systems. You will also need to document development processes and workflows for future reference. In addition, you are expected to foster a teamwork environment that encourages knowledge sharing, collaboration, and continuous learning. You will guide and support junior developers, provide necessary feedback to help them grow professionally, and foster innovation and creativity within the team to successfully implement practical solutions for technical issues. The company offers a handsome salary, certifications, flexible timings, a 5-day working week, loyalty bonus, excellent referral bonus, maternity leaves and benefits, recognition and awards, and monthly team activities to create a positive work environment.,

As an ML Engineer, you will play a crucial role in developing and implementing various Machine Learning models that contribute to the growth of the company. Your primary focus will be on creating ML workflows tailored for the legal industry to enhance the efficiencies of in-house teams at Draft n Craft. This position offers you the opportunity to enhance your ML/Data Engineering skills while actively participating in the creation of valuable products. Your responsibilities will include developing data ingestion and preprocessing pipelines to extract actionable insights from legal data, ensuring accurate and consistent data cleaning for ML models, and experimenting with different ML models and architectures suitable for the legal industry. You will also be responsible for deploying ML models in production environments, analyzing model performance metrics, and improving model efficiencies. Additionally, you will document data preprocessing steps, model development processes, and optimization techniques. Collaboration with software engineers within the company will be essential, requiring an understanding of software development terminologies. Integration of ML models into existing software solutions and employee workflows will also be part of your role. The ideal candidate holds a degree in Computer Science Engineering, Data Science, or related fields. A minimum of 2 years of experience as an ML Engineer or Data Scientist is required, along with strong programming skills in Python and familiarity with libraries such as Tensorflow, PyTorch, and Pandas. Proficiency in SQL/NoSQL for database querying, working with data extraction and ETL pipelines, and experience in NLP, Neural Networks, and Gen AI technologies are essential. Familiarity with transfer learning on LLM models and deploying ML models to cloud services like AWS/Azure is preferred. Some experience in software development will be advantageous. This is a full-time position with a preferred total work experience of 6 years. The work location is in person.,

Searce is a modern tech consulting firm that empowers clients to futurify their businesses, leveraging Cloud, AI & Analytics. We are a category defining niche cloud-native technology consulting company, specializing in modernizing (improve, automate & transform) the full-scope of infra, app, process & work. We partner with clients in their beyond x journey to drive intelligent, impactful & futuristic business outcomes. We are the most preferred tech partner of choice when it comes to solving for better for the new-age tech startups & digital enterprises, leading disruption in their industries. Our Service Offerings: We offer Advanced Cloud, Data & App Modernization, Cloud Consulting, Management & Improvement (DevOps, SysOps & Cloud Managed Services), Applied AI & Analytics services. As one of the top 5 niche full scope global partners for Google Cloud & a preferred partner for AWS, we are the most preferred engineering-led tech company of choice when it comes to solving complex business problems. Responsibilities - Build a diverse cross-functional team to identify and prioritize key areas of the business across ML, AI, NLP and other cognitive solutions that will drive significant business benefit. - Lead AI R&D initiatives to include prototypes and minimum viable products. - Work closely with multiple teams on projects like Visual quality inspection, ML Ops, Conversational banking, Demand forecasting, Anomaly detection etc. - Build reusable and scalable solutions for use across the customer base. - Create AI white papers and enable strategic partnerships with industry leaders. - Align, mentor, and manage team(s) around strategic initiatives. - Prototype and demonstrate AI related products and solutions for customers. - Establish processes, operations, measurement, and controls for end-to-end life-cycle management of the digital workforce (intelligent systems). - Assist business development teams in the expansion and enhancement of a pipeline to support short- and long-range growth plans. - Identify new business opportunities and prioritize pursuits for AI. - Participate in long-range strategic planning activities designed to meet the Company's objectives and to increase its enterprise value and revenue goals. - Build a great work environment that attracts and retains elite talent. - Work well through ambiguity, confidence in making tough calls and leading through adversity with a sharp focus on the right outcomes. Qualifications - Bachelors degree (in a quantitative field such as CS, EE, Information sciences, Statistics, Mathematics, Economics, Operations Research, or related, with focus on applied and foundational Machine Learning , AI , NLP and/or / data-driven statistical analysis & modelling) or equivalent required. MBA and/or advanced technical degree preferred. - 6+ years of Experience majorly in AI/ML/ NLP / deep learning / data-driven statistical analysis & modelling solutions to multiple domains, including financial engineering, financial processes a plus. - Experience beyond using open source tools as-is, and writing custom code on top of, or in addition to, existing open source frameworks. - Ability to interact, converse and ideate with CTOs, CEOs, VPs and IT Directors. - Prior experience leading a technical team. You are experienced at running a team of high performing individuals, and understand how to get the most out of smart, motivated people. - Proven capability in demonstrating successful advanced technology solutions (either prototypes, POCs, well-cited research publications, and/or products) using ML/AI/NLP/data science in one or more domains. - Experience in data management, data analytics middleware, platforms and infrastructure, cloud and fog computing is a plus. - Excellent communication skills to explain complex algorithms, solutions to stakeholders across multiple disciplines, and ability to work in diverse teams. - Be a Searce Cloud evangelist. Educate customers of all sizes on the value proposition of various services and benefits offered by Searce and partner OEMs. - Author or otherwise contribute to Searce's customer-facing publications such as whitepapers, blogs, and proof of concepts.,

Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 1000 companies. With a presence in more than 45 countries across five continents, Evalueserve excels in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate clients" business impact and strategic decision-making. The team at Evalueserve consists of 4,500+ talented professionals operating across 45 countries, spanning India, China, Chile, Romania, the US, Canada, as well as emerging markets like Colombia, the Middle East, and the rest of Asia-Pacific. Recognized by Great Place to Work in multiple countries, Evalueserve offers a dynamic, growth-oriented, and open culture that prioritizes flexible work-life balance, diverse and inclusive teams, and equal opportunities for all. Evalueserve University has been established to design and deliver a Global Learning Strategy integral to business success. From new graduate onboarding to leadership skill development workshops and domain-specific knowledge programs, the university strengthens structured learning opportunities. As a member of the Evalueserve team, you will partner with business leaders and subject matter experts to design and deliver learning programs focused on developing key competencies in Data Science. You will manage, enhance, and deliver signature boot-camp training programs for new hires globally and collaborate with Operations to identify training needs for on-role analysts. Additionally, you will create new learning content, monitor training quality and effectiveness, and ensure alignment with business needs. To excel in this role, you should have 5-10 years of experience in Data Science, along with proficiency in Cloud Fundamentals (Azure/AWS/GCP), Python, Machine Learning, LLM Ops, MLOps, Project Management, and NLP. Advanced skills in Computer Vision, Deep Learning, and other frameworks are desirable. Experience in Data Warehousing/Data Engineering/Big Data is an added advantage. A graduation degree is a prerequisite, along with excellent communication and interpersonal skills, and proficiency in Excel and PowerPoint. If you are ready to elevate your impact through innovation and learning, Evalueserve welcomes you to join its dynamic team and contribute to its mission of delivering cutting-edge solutions to clients worldwide.,

As an AI/ML Model Developer in this role, your core responsibility will be to build and optimize AI/ML models by leveraging Azure-based AI tools, TensorFlow, PyTorch, and similar frameworks. You will focus on the Logistics & Maritime industries, addressing complex business challenges using AI. Your expertise in cloud-based AI services for data storage, processing, and model deployment, with extensive use of Azure (and optionally AWS), will be crucial in this position. Your key responsibilities will involve designing, developing, and implementing machine learning algorithms. You will collaborate with business teams to translate requirements into technical AI/ML solutions, ensuring data quality for training models through data preprocessing. Using cloud tools like Azure/AWS, you will optimize models for high performance, perform training, tuning, and evaluation of models for continuous improvement. Staying updated on advancements in AI/ML, exploring new techniques, and providing data analysis & visualization to support business decision-making will be essential. You will also enhance existing products with AI-driven features such as automation, prediction, and recommendations while maintaining records for AI models, pipelines, and experiments. To qualify for this position, you should hold a Bachelor's/Master's degree in Engineering Science, Data Science, or a related field, along with 3-4 years of relevant AI/ML experience, preferably in Logistics and Maritime sectors. Key skills and technologies required include proficiency in programming languages like Python, R, or Java, expertise in machine learning techniques such as supervised/unsupervised learning, regression, classification, and clustering. Familiarity with AI frameworks like TensorFlow, PyTorch, Keras, or Scikit-learn, and experience with cloud platforms like AWS or Azure tools for AI services are necessary. Specific experience with Logistics and Maritime products, along with additional skills in deep learning, NLP, and computer vision, will be advantageous. Strong analytical thinking, problem-solving, and communication skills are essential soft skills for this role. This is a full-time, permanent position with a day shift schedule that requires in-person work at the designated location.,

You are a highly skilled and experienced Senior Engineer in Data Science who will be responsible for designing and implementing next-generation data science solutions. Your role will involve shaping the data strategy and driving innovation through advanced analytics and machine learning. In this position, your responsibilities will include providing technical leadership and designing end-to-end data science solutions. This encompasses data acquisition, ingestion, processing, storage, modeling, and deployment. You will also be tasked with developing and maintaining scalable data pipelines and architectures using cloud-based platforms and big data technologies to handle large volumes of data efficiently. Collaboration with stakeholders to define business requirements and translate them into technical specifications is essential. As a Senior Engineer in Data Science, you will select and implement appropriate machine learning algorithms and techniques, staying updated on the latest advancements in AI/ML to solve complex business problems. Building and deploying machine learning models, monitoring and evaluating model performance, and providing technical leadership and mentorship to junior data scientists are also key aspects of this role. Furthermore, you will contribute to the development of data science best practices and standards. To qualify for this position, you should hold a B.Tech/M.Tech/M.Sc (Mathematics/Statistics)/PhD from India or abroad. You are expected to have at least 4+ years of experience in data science and machine learning, with a total of around 7+ years of overall experience. A proven track record of technical leadership and implementing complex data science solutions is required, along with a strong understanding of data warehousing, data modeling, and ETL processes. Expertise in machine learning algorithms and techniques, time series analysis, programming proficiency in Python, knowledge of general data science tools, domain knowledge in Industrial, Manufacturing, and/or Healthcare, proficiency in cloud-based platforms and big data technologies, and excellent communication and collaboration skills are all essential qualifications for this role. Additionally, contributions to open-source projects or publications in relevant fields will be considered an added advantage.,

Qualcomm India Private Limited is seeking an experienced Software Engineer to join the QCT PM Tools team. In this role, you will be responsible for analyzing data from multiple sources, transforming the data, and creating reporting solutions to provide valuable insights for driving business decisions. Your main responsibilities will include developing, creating, and managing reporting using tools like PowerBI and Tableau, as well as building data pipelines and intelligent analytics. You will also be tasked with collecting data from various Qualcomm systems, providing actionable insights, and troubleshooting any data issues reported by users of the reporting solutions. It is essential to understand user requirements and build scalable, high-performance reporting solutions. Minimum Qualifications for this position include a Bachelor's degree in computer science engineering or a related field, along with at least 3 years of experience in Data Modelling and Data Visualization using BI tools such as Tableau, Power BI, or QlikView. You should also have experience in applying ML/AI models for prediction, classification, search, and NLP, as well as a minimum of 1 year of experience in software development with programming languages like C#, Java, or Python. Preferred Qualifications include experience in building NLP-enabled solutions using LLMs and existing data sources with RAG, Langchain, and at least 2 years of software development experience with programming languages like C#, Java, or Python. Additionally, the ability to work independently and collaboratively in a diverse, fast-paced environment is desirable, along with knowledge of database, operating system, and algorithm design. Experience working on cloud platforms like AWS or Azure is also preferred. Qualcomm values diversity and is an equal opportunity employer. If you require accommodations during the application or hiring process due to a disability, Qualcomm is committed to providing accessible support. For more information about this role, please contact Qualcomm Careers directly.,

You are invited to join our team as a Software Engineer specializing in AI/ML tools. With a minimum of 3 to 6 years of experience, you will play a crucial role in transforming natural language data into valuable features using NLP techniques to support classification algorithms. Your responsibilities will include statistical analysis, machine learning methods, and text representation techniques, ensuring the effective design of software architecture. As an ideal candidate, you will have proven experience as an NLP Engineer or in a similar role, along with a deep understanding of NLP techniques for text representation, Information Extraction, semantic extraction techniques, data structures, and modeling. Proficiency in Generative AI, LLM Model, LangChain, and text representation techniques like n-grams, bag of words, sentiment analysis, word embedding, as well as knowledge of deep learning algorithms such as LSTM/GRU/CNN will be essential. You should also have experience with machine learning frameworks like Keras or PyTorch, and libraries such as scikit-learn. The ability to write robust and testable code, coupled with strong analytical and problem-solving skills, will be key to your success in this role. A degree in Computer Science, Mathematics, Computational Linguistics, or a related field is required. If you possess the relevant qualifications and skills in AI/ML, NLP, LLM Model, LangChain, n-grams, LSTM/GRU/CNN, and Keras/PyTorch, we welcome your application. We are an equal opportunity employer and encourage candidates who are on a career break but are passionate about restarting their professional journey to apply. Join us and be a part of a dynamic team that values innovation and excellence.,

Qualcomm India Private Limited is seeking a candidate to join their Multimedia Audio Systems Group as a Voice AI Engineer. As part of the team, you will be responsible for prototyping and productizing Voice AI Models for tasks such as Automatic Speech Recognition (ASR), Text-to-Speech (TTS), NLP, Multilingual Translation, Summarization, Language modeling, and other Speech/text generation tasks. You will work closely with a team of engineers to develop, train, and optimize Voice AI models for efficient offload to NPU, GPU, and CPU. Additionally, you will conduct model evaluation studies, competitive analysis, and collaborate with other R&D and Systems teams for system integration, use case validation, efficient offload to HW accelerators, and commercialization support. The ideal candidate should have strong programming skills in C/C++ and Python, along with experience in ML inference optimizations. Proficiency in designing, implementing, and training DL models using high-level languages/frameworks such as PyTorch, TensorFlow, and ONNX is required. Knowledge of ML architectures and operators like Transformers, LSTM, GRUs, and familiarity with recent trends in machine learning and traditional statistical modeling/feature extraction techniques are essential. Experience in Speech-to-text, Text-to-Speech, Speech-to-Speech, NLP applications, model quantization, compression techniques, software development on embedded platforms, software design patterns, multi-threaded programming, computer architecture, operating systems, data structures, algorithms, fixed-point coding, and AI HW accelerators (NPU or GPU) is a plus. Candidates should hold a Bachelor's/Masters/PhD degree in Engineering, Electronics and Communication, Computer Science, or related field, along with 3+ years of experience in Audio Systems engineering, Audio Signal Processing modules, ML Model development, or related work. Minimum qualifications include a Bachelor's degree in Engineering, Information Systems, Computer Science, or related field with 2+ years of Systems Engineering or related work experience, or a Master's degree with 1+ year of experience, or a PhD in a related field. Qualcomm is an equal opportunity employer committed to providing accessible processes for individuals with disabilities. Individuals seeking accommodation during the application/hiring process can contact Qualcomm for support. The company expects its employees to adhere to all applicable policies and procedures, including security requirements regarding protection of confidential information. Please note that Qualcomm does not accept unsolicited resumes or applications from agencies. Staffing and recruiting agencies are not authorized to submit profiles, applications, or resumes on behalf of individuals. For more information about this role, please contact Qualcomm Careers.,

As a Senior Robotic Process Automation (RPA) Developer for Digital Transformation, you will be responsible for designing, developing, and testing the automation of workflows. Your key role will involve supporting the implementation of RPA solutions, collaborating with the RPA Business Analyst to document process details, and working with the engagement team to implement and test solutions while managing exceptions. Additionally, you will be involved in the maintenance and change control of existing artifacts. To excel in this role, you should possess substantial experience in standard concepts, practices, technologies, tools, and methodologies related to Digital Transformations, including automation, analytics, and new/emerging technologies in AI/ML. Your ability to efficiently manage projects from inception to completion, coupled with strong execution skills, will be crucial. Knowledge of process reengineering would be advantageous. Your responsibilities will include executing projects on digital transformations, process redesign, and maximizing operational efficiency to identify cost-saving opportunities for the enterprise. You will also interact with Business Partners in India and the USA. Key Job Functions and Responsibilities: - Manage end-to-end execution of digital transformational initiatives - Drive ideation and pilot projects on new/emerging technologies such as AI/ML and predictive analytics - Evaluate multiple tools and select the appropriate technology stack for specific challenges - Collaborate with Subject Matter Experts (SMEs) to document current and future processes - Possess a clear understanding of process discovery and differentiate between RPA and regular automation - Provide guidance on designing "to be" processes for effective automation - Develop RPA solutions following best practices - Consult with internal clients and partners to offer automation expertise - Implement RPA solutions across various platforms (e.g., Citrix, web, Microsoft Office, database, scripting) - Assist in establishing a change management framework for updates - Offer guidance on process design from an automation perspective Qualifications: - Bachelor's/Master's/Engineering degree in IT, Computer Science, Software Engineering, or a relevant field - Minimum of 3-4 years of experience in UiPath - Strong programming skills in Python, SQL, and Pandas - Expertise in at least one popular Python framework (e.g., Django, Flask, or Pyramid) is advantageous - Application of Machine Learning/Deep Learning concepts in cognitive areas such as NLP, Computer Vision, and image analytics is highly beneficial - Proficiency in working with structured/unstructured data, image (OCR)/voice, and descriptive/prescriptive analytics - Excellent organizational and time management skills, with the ability to work independently - Certification in UiPath is recommended - Hands-on experience and deep understanding of AWS tools and technologies like EC2, EMR, ECS, Docker, Lambda, and SageMaker - Enthusiasm for collaborating with team members and other groups in a distributed work model - Willingness to support and learn from teammates while sharing knowledge - Comfortable working in a mid-day shift and remote setup Work Schedule or Travel Requirements: - 2-11 PM IST; 5 days a week,

You should have 5 to 8 years of good working experience in NLP. Your experience should include working with Text Classification, NER models for fine-tuning and zeroshot applications. Proficiency in Huggingface and Pytorch is required. Additionally, experience with Document Processing is expected. In Python / AI Engineering, you should be proficient in building re-usable and scalable data pipelines using Python. Experience with NoSQL databases, data analysis, ML/DL frameworks, web API frameworks, and unit testing frameworks is necessary. Experience with Microservices and Cloud technologies is essential, including Docker, ECS / EKS. Good experience with at least one cloud service provider, with AWS being preferable. General requirements for the role include the ability to handle large-scale unstructured data and a willingness to learn new frameworks to stay updated with the latest NLP developments. About Virtusa: Virtusa values teamwork, quality of life, and professional and personal development. As part of a global team of 30,000 professionals, you can expect exciting projects, opportunities to work with state-of-the-art technologies, and support for your growth throughout your career with Virtusa. At Virtusa, collaboration and a team-oriented environment are highly valued. We provide a dynamic space for great minds to nurture new ideas and strive for excellence.,

BitQCode Capital is a leading algorithmic trading hedge fund specializing in high-frequency trading, quantitative strategies, and cutting-edge AI-driven market analysis. We manage a multi-million-dollar portfolio and execute millions of trades per month across global markets. Our team consists of top-tier quants, engineers, and traders, leveraging AI to develop sophisticated, automated trading models. We are looking for an AI Quantitative Researcher with a proven track record of applying Artificial Intelligence (AI) and Machine Learning (ML) in financial markets. The ideal candidate should have hands-on experience designing, training, and deploying AI-driven trading models that generate alpha across asset classes. This role requires expertise in deep learning, reinforcement learning, NLP for market sentiment analysis, and predictive modeling for market movements. You will collaborate closely with our quant traders, data scientists, and software engineers to enhance existing trading models and develop new AI-driven strategies. Key Responsibilities: - Research, design, and implement AI-powered trading algorithms to predict market movements and optimize execution. - Develop and train machine learning models using historical and real-time market data to identify profitable trading opportunities. - Utilize reinforcement learning and deep learning techniques (e.g., LSTMs, Transformers, CNNs) for predictive modeling in financial markets. - Leverage NLP and sentiment analysis to extract insights from news, social media, and alternative data sources for trading signals. - Optimize AI models for real-time decision-making and high-frequency trading strategies. - Conduct backtesting and live simulations to evaluate model performance under different market conditions. - Work with large-scale financial datasets, leveraging cloud-based AI/ML infrastructure for processing and computation. - Stay up to date with cutting-edge AI research and continuously improve trading models to adapt to evolving market conditions. - Collaborate with software engineers to integrate AI models into automated trading systems for live execution. Requirements: - Strong proficiency in AI/ML frameworks: TensorFlow, PyTorch, scikit-learn, XGBoost, etc. - Experience in trading-focused AI applications: Reinforcement learning (RL), supervised/unsupervised learning, deep learning, and probabilistic modeling. - Programming expertise: Python (NumPy, Pandas, SciPy, Dask), C++ (for low-latency execution is a plus). - Financial market knowledge: Experience in trading stocks, options, futures, crypto, or FX using AI-driven models. - Big data processing & analysis: Proficiency in working with time-series data, high-frequency tick data, and alternative datasets. - Experience with backtesting frameworks: Zipline, Backtrader, QuantConnect, Freqtrade, etc. - Database and cloud computing: SQL, NoSQL, Redis, AWS, GCP, or Azure for scalable AI infrastructure. Experience & Qualifications: - Minimum 3+ years of experience in AI-driven quantitative research and trading strategy development. - Prior experience in a hedge fund, proprietary trading firm, or financial institution building AI-based models. - A strong track record of building and deploying successful AI-driven trading strategies. - Advanced degree (Masters/PhD) in Computer Science, AI, Machine Learning, Quantitative Finance, Mathematics, or related fields. Nice to Have: - Experience in market microstructure modeling and order book dynamics. - Knowledge of options pricing, derivatives trading, and volatility modeling. - Experience integrating AI models into low-latency trading systems. - Contributions to AI research, open-source projects, or publications in AI/ML conferences.,

As a Senior Data Scientist (Gen AI Developer) with 5 to 7+ years of experience, you will be based in Hyderabad and employed full-time in a hybrid work mode, spending 4 days in the office and 1 day working from home. Your primary responsibility will be to tackle a Conversational AI challenge for our client by utilizing your expertise in Speech-to-Text and Text Generation technologies. Your role will involve developing and fine-tuning Automatic Speech Recognition (ASR) models, implementing language models for industry-specific terminology, and incorporating speaker diarization to distinguish multiple voices in a conversation. Additionally, you will build conversation summarization models, apply Named Entity Recognition (NER), and use Large Language Models (LLMs) for deep conversation analysis and smart recommendations. You will also design Retrieval-Augmented Generation (RAG) pipelines leveraging external knowledge sources for enhanced performance. Furthermore, you will be tasked with creating sentiment and intent classification systems, developing predictive models for next-best-action suggestions based on historical call data and engagement, and deploying AI models on cloud platforms like AWS, Azure, or GCP. Optimizing inference and establishing MLOps pipelines for continual learning and performance enhancement will also be part of your responsibilities. To excel in this role, you must possess proven expertise in ASR, NLP, and Conversational AI systems, along with experience in tools such as Whisper, DeepSpeech, Kaldi, AWS Transcribe, and Google STT. Proficiency in programming languages like Python, PyTorch, TensorFlow, and familiarity with RAG, LangChain, and LLM fine-tuning is essential. Hands-on experience with vector databases and deploying AI solutions using Docker, Kubernetes, FastAPI, or Flask will be beneficial. Apart from technical skills, you should have strong business acumen to translate AI insights into impact, be a fast-paced problem-solver with innovative thinking abilities, and possess excellent collaboration and communication skills for effective teamwork across functions. Preferred qualifications include experience in healthcare, pharma, or life sciences NLP projects, knowledge of multimodal AI, prompt engineering, and exposure to Reinforcement Learning (RLHF) techniques for conversational models. Join us to work on impactful real-world projects in Conversational AI and Gen AI, collaborate with innovative teams and industry experts, leverage cutting-edge tools and cloud platforms, and enjoy a hybrid work environment that promotes flexibility and balance. Your ideas will be valued in our forward-thinking, AI-first culture. To apply for this exciting opportunity, please share your updated resume at resumes@empglobal.ae or apply directly through the platform. Kindly note that while we appreciate all applications, only shortlisted candidates will be contacted. Thank you for your understanding!,