861 Nlp Jobs - Page 12

As the Subject Matter Expert for clients, you will serve as the primary point of contact for clients in Gen AI needs, including senior executives, to understand their requirements and provide customized generative AI solutions. You will be responsible for leading multiple generative AI projects, ensuring on-time delivery and high-quality results by defining project deliverables, timelines, and methodologies. Additionally, you will manage and mentor a team of AI specialists, creating a collaborative and innovative work environment. Your role will involve designing and implementing advanced generative AI models like GANs, VAEs, and transformer-based models to address intricate business challenges. You will also contribute to thought leadership in generative AI, offering strategic insights to drive innovation and best practices within the organization. It is essential to stay updated on the latest developments in generative AI and machine learning, integrating state-of-the-art technologies into projects. To qualify for this position, you should hold a Master's or PhD in computer science, engineering, mathematics, or related fields from esteemed institutions. With at least 8 years of experience in AI and machine learning, focusing on generative AI, deep learning, and NLP, you must have a proven track record of successfully delivering generative AI projects. Proficiency in Python, TensorFlow, PyTorch, Keras, and cloud platforms (AWS, Azure, GCP) is required, along with experience in large-scale data processing and model deployment. Relevant certifications in AI and machine learning, such as TensorFlow Developer Certificate, AWS Certified Machine Learning Specialty, or similar, are preferred but not mandatory. Demonstrated leadership skills, problem-solving abilities, and excellent communication and presentation skills are essential for this role. A deep understanding of industry trends and challenges in generative AI and machine learning will be advantageous.,

As a Python Machine Learning & AI Developer at Chicmic Studios, you will be an integral part of our dynamic team, bringing your expertise and experience to develop cutting-edge web applications using Django and Flask frameworks. Your primary responsibilities will include designing and implementing RESTful APIs with Django Rest Framework (DRF), deploying and optimizing applications on AWS services, and integrating AI/ML models into existing systems. You will be expected to create scalable machine learning models using PyTorch, TensorFlow, and scikit-learn, implement transformer architectures like BERT and GPT for NLP and advanced AI use cases, and optimize models through techniques such as hyperparameter tuning, pruning, and quantization. Additionally, you will deploy and manage machine learning models in production environments using tools like TensorFlow Serving, TorchServe, and AWS SageMaker, ensuring the scalability, performance, and reliability of both applications and models. Collaboration with cross-functional teams to analyze requirements, deliver technical solutions, and staying up-to-date with the latest industry trends in AI/ML will also be key aspects of your role. Your ability to write clean, efficient code following best practices, conduct code reviews, and provide constructive feedback to peers will contribute to the success of our projects. To be successful in this role, you should possess a Bachelor's degree in Computer Science, Engineering, or a related field, with at least 3 years of professional experience as a Python Developer. Proficiency in Python, Django, Flask, and AWS services is required, along with expertise in machine learning frameworks, transformer architectures, and database technologies. Familiarity with MLOps practices, front-end technologies, and strong problem-solving skills are also desirable qualities for this position. If you are passionate about leveraging your Python development skills and AI expertise to drive innovation and deliver impactful solutions, we encourage you to apply and be a part of our innovative team at Chicmic Studios.,

As an Amdocs Software Architect, you will have full autonomy to deliver agreed technical objectives and make decisions that require extensive analysis and interpretation. Your role will involve providing technical expertise in software usage, as well as functional and non-functional aspects. You will collaborate with software engineers and other architects to define and refine product structures to align with business needs. Furthermore, you will work closely with customers and product line management to identify and translate customer needs into technical requirements. You will support and lead architectural decisions within a product line or across multiple product lines. Additionally, you will lead projects, review technical designs, and provide guidance to software engineers on technical and architectural decisions. Your responsibilities will include researching, evaluating, and prototyping new methodologies, technologies, and products. You will propose and implement improvements in processes and tools. It is essential to acquire an in-depth understanding of the customer context when making technical decisions. Key Responsibilities: - Extensive experience working with Various LLMs such as Lama, Gpt, and others - Hands-on experience with GenAI use cases - Expertise in developing Cloud Jobs for data ingestion for learning purposes - Establish partnerships with project stakeholders to offer technical assistance for important decisions - Development and implementation of Gen AI use-cases in live production based on business/user requirements Technical Skills: Mandatory Skills: 1. Experience in deep learning engineering, particularly on MLOps 2. Strong NLP/LLM experience and text processing using LLM 3. Proficiency in Python & Terraform programming 4. Building backend applications (data processing, etc.) using Python and deep learning frameworks 5. Deploying models and creating APIs (FAST API, FLASK API) 6. Experience working with GPUs 7. Working knowledge of Vector databases like Milvus, Azure Cognitive Search, Quadrant, etc. 8. Experience with transformers and working with Hugging Face models like llama, Mixtral AI, and embedding models Good to have: 1. Knowledge and experience in Kubernetes, Docker, etc. 2. Cloud experience working with VMs and Azure storage 3. Sound data engineering experience Behavioral Skills: - Effective communication with clients/operational managers and providing solutions - Strong problem-solving skills and ability to gather information - Building relationships with clients/operational managers and colleagues - Adaptability, ability to prioritize, work under pressure, and meet deadlines - Proactive thinking, anticipating problems, and providing solutions - Innovative approach and good presentation skills - Willingness to work extended hours when required In this role, you will be challenged by crafting high-level designs and setting technical standards. You will have the opportunity to work with advanced technologies and be responsible for a suite of products. Amdocs offers a range of benefits, including health, dental, parental leave, and pet insurance. Amdocs is an equal opportunity employer, welcoming applicants from all backgrounds and committed to fostering a diverse and inclusive workforce.,

The ideal candidate will be responsible for gathering business challenges and documentation, collating and interpreting data, analyzing results using statistical techniques and tools. You will work with the team to prioritize business and information needs and present solutions and insights regarding the data. It will be your role to analyze data for trends and interpret data and patterns with a clear objective in mind. You should have an interest in working in a startup culture/ecosystem with a willingness to learn and a never-die attitude. The ability to work independently as well as part of a team is essential. Knowledge in AI/ML algorithms, working with large datasets and big data tools is required. Proficiency in SQL, Python, Excel functions, data concepts, and an in-depth understanding of modeling techniques is a must. Familiarity with NLP, LLM, Generative AI, and data visualization is preferred. Strong logical and problem-solving skills are necessary for this role. This is a full-time position with a day shift schedule and an in-person work location.,

The ML Solutions team within Markets OPS Technology is dedicated to developing solutions using Artificial Intelligence, Machine Learning, and Generative AI. This team is a leader in creating new ideas, innovative technology solutions, and ground-breaking solutions for Markets Operations and Other Line of Businesses. We work closely with our clients and business partners to progress solutions from ideation to production by leveraging the entrepreneurial spirit and technological excellence. The ML Solutions team is seeking a Data Scientist/Machine Learning Engineer to drive the design, development, and deployment of innovative AI/ML and GenAI-based solutions. In this hands-on role, you will leverage your expertise to create a variety of AI models, guiding a team from initial concept to successful production. A key aspect involves mentoring team members and fostering their growth. You will collaborate closely with business partners and stakeholders, championing the adoption of these advanced technologies to enhance client experiences, deliver tangible value to our customers, and ensure adherence to regulatory requirements through cutting-edge technical solutions. This position offers a unique opportunity to shape the future of our AI initiatives and make a significant impact on the organization. Key Responsibilities: - Hands-On Execution and Delivery: Actively contribute to the development and delivery of AI solutions, driving innovation and excellence within the team. Take a hands-on approach to ensure AI models are successfully deployed into production environments, meeting high-quality standards and performance benchmarks. - Mentoring Young Talents: Mentoring team, guiding data analysts/ML engineers from concept to production. This involves fostering technical growth, providing project oversight, and ensuring adherence to best practices, ultimately building a high-performing and innovative team. - Quality Control: Ensure the quality and performance of generative AI models, conducting rigorous testing and evaluation. - Research and Development: Participate in research activities to explore and advance state-of-the-art generative AI techniques. Stay actively engaged in monitoring ongoing research efforts, keeping abreast of emerging trends, and ensuring that the Generative AI team remains at the forefront of the field. - Cross-Functional Collaboration: Collaborate effectively with various teams, including product managers, engineers, and data scientists, to integrate AI technologies into products and services. Skills & Qualifications: - 8 to 13 years of Strong hands-on experience in Machine Learning, delivering complex solutions to production. - Experience with Generative AI technologies essential. - Understanding of concepts like supervised, unsupervised, clustering, embedding. - Knowledge of NLP, Name Entity Recognition, Computer Vision, Transformers, Large Language Models. - In-depth knowledge of deep learning and Generative AI frameworks such as, Langchain, Lang Graph, Crew AI or similar. - Experience with and other open-source frameworks/ libraries/ APIs like Hugging Face Transformers, Spacy, Pandas, scikit-learn, NumPy, OpenCV. - Experience in using Machine Learning/Deep Learning: XGBoost, LightGBM, TensorFlow, PyTorch, Keras. - Proficiency in Python Software Development, following Object-Oriented design patterns and best practices. - Strong background in mathematics: linear algebra, probability, statistics, and optimization. - Experience with evaluation, scoring with a framework like ML Flow - Experience of Docker container and edited a Docker file, experience with K8s is a plus. - Experience with Postgres and Vector DBs a plus. - Excellent problem-solving skills and the ability to think creatively. - Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams - Publications and contributions to the AI research community are a plus. - Masters degree/Ph. D. or equivalent experience in Computer Science, Data Science, Statistics, or a related field. - 8-12 years of experience This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.,

You should have a solid understanding and working experience with the Azure cloud platform fundamentals, including Azure ML, Functions, Blob Storage, ML Studio, AI Foundry, Azure Pipelines, AKS, and Functions. Experience in Python environment setup, dependency management (e.g., pip, conda), and API integrations (API Keys, OAuth) is required. Exposure to NLP, machine learning, or data science projects is preferred. Awareness of prompt engineering principles and how LLMs (like GPT, Claude, or LLaMA) are used in real-world applications is a plus. Understanding of transformer architecture and how it powers modern NLP, as well as exposure to AI Code Assist tools, is beneficial for this role. Virtusa values teamwork, quality of life, and professional and personal development. Join a global team of 27,000 professionals who care about your growth, offering exciting projects, opportunities, and work with state-of-the-art technologies throughout your career with the company. At Virtusa, collaboration and a team environment are highly valued, providing a dynamic place for great minds to nurture new ideas and foster excellence.,

At Apple, phenomenal ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The Applied Machine Learning group is in search of a driven and results-oriented individual to help push the needle of what ML and AI can be used for, while researching new frontiers to raise the bar higher. In this role, as part of the Applied Machine Learning team, you will be responsible for conceptualizing, designing, implementing, and running cutting-edge solutions. You will leverage best-suited ML, AI, and NLP techniques and contribute to building reusable platforms. The team has a broad impact, providing exposure to cross-functional projects with challenging use cases where modern technologies can solve real-world problems. We are seeking someone with a proven track record in crafting and developing high-quality enterprise software solutions. This position requires a hands-on individual who is passionate about problem-solving, able to think creatively about solutions, and lead by example when implementing them. The ideal candidate should be self-starting, upbeat, with excellent written and communication skills, a hardworking collaborator, unafraid to question assumptions, and willing to take initiative. Minimum Qualifications: - Bachelor's in Computer Science or equivalent experience - 7+ years of experience in building and managing big-data platforms, with programming experience in Java - Working experience with search and information retrieval tools such as Lucene, Solr, Elasticsearch, Milvus, Vespa Preferred Qualifications: - Experience scaling distributed ML and AI systems to handle millions of concurrent requests - Experience with ML applications in cross-domain contexts - Experience with public cloud platforms like AWS/GCP - Good understanding of AI/ML stack including GPUs, MLFlow, LLM models - Understanding of data modeling, data warehousing, and ETL concepts - Experience in creating frameworks to deploy platforms in AWS/Azure/GCP - Ability to lead and mentor junior team members, provide technical guidance, and collaborate effectively with multi-functional teams - Commitment to staying updated with the latest advancements in machine learning and data science, and willingness to learn new tools and technologies as needed If you meet these qualifications and are excited about the opportunity to contribute to cutting-edge machine learning projects at Apple, we would love to hear from you. Please submit your CV for consideration.,

As a valued member of the Ojas Systems team, we are seeking individuals proficient in Machine Learning, NLP, Computer Vision, Gen AI, or LLM (Full-time PhD required) with a minimum of 5 years of experience post-PhD. The ideal candidate should possess a total of 12+ years of relevant professional experience in the field. If you meet the above criteria and are enthusiastic about joining our team, please forward your updated resume to meghana@ojassystems.com. We look forward to the opportunity to review your qualifications and potentially welcoming you on board at Ojas Systems. Thank you for considering this exciting career opportunity with us. Warm regards, Ojas Systems,

You are an experienced AI/ML Architect with over 8 years of hands-on AI/ML architecture experience, looking to join our team as a key member of the COE department. With a Ph.D. or Master's degree in Computer Science, Data Science, Artificial Intelligence, or related fields, you will be responsible for leading the design and implementation of AI/ML solutions across various industry domains. Your role will involve acting as a trusted advisor to clients, understanding their business challenges, and developing scalable AI/ML strategies aligned with their vision. Your primary responsibilities will include engaging with enterprise customers and stakeholders to gather business requirements, translating challenges into effective AI/ML solutions, and designing end-to-end ML pipelines. You will collaborate with data engineers, scientists, and business SMEs to operationalize AI/ML solutions, present technical insights to diverse audiences, and lead POCs, pilots, and full-scale implementations. Staying updated on the latest trends in AI/ML, you will contribute to proposal development, technical documentation, and pre-sales engagements. To qualify for this role, you must possess a Ph.D. or Masters degree in relevant fields, along with deep knowledge of machine learning algorithms, NLP, computer vision, and deep learning frameworks. Experience with cloud AI/ML services, strong communication skills, and a proven track record of delivering AI solutions are essential. Familiarity with MLOps practices and tools is a plus. Preferred skills include experience in building GenAI or Agentic AI applications, knowledge of data governance and ethics in AI, and the ability to lead cross-functional teams while mentoring junior data scientists/engineers. Publications or contributions to AI/ML research communities are preferred but not mandatory.,

You should have a minimum of 3 years of experience in a similar role. You must be proficient in Java and Python programming languages. A strong understanding and working experience in Solidatus is required. Additionally, you should have a solid understanding of XML and JSON data formats. Knowledge of relational SQL and NoSQL databases such as Oracle, MSSQL, and Snowflake is essential. Preferred qualifications include exposure to NLP and LLM technologies and approaches, experience with machine learning and data mining techniques, familiarity with data security and privacy concerns, knowledge of data warehousing and business intelligence concepts, and an advanced degree in Computer Science, Engineering, or a related field. The ideal candidate will have a Bachelor's degree in Computer Science, Engineering, or a related field.,

As an Engineering Lead at Aithon Solutions, a dynamic organization specializing in operations and technology solutions for the alternative asset management sector, you will play a pivotal role in steering the development of our Generative AI products. Your primary mandate will involve overseeing the entire product lifecycle to ensure scalability, top-notch performance, and continuous innovation. Collaborating with diverse teams, you will champion engineering excellence and cultivate a culture that thrives on high performance. Your role demands a profound understanding of AI/ML, proficiency in Python coding, expertise in distributed systems, cloud architectures, and contemporary software engineering practices. Moreover, hands-on coding experience is crucial for this position, ensuring a comprehensive grasp of the technical landscape you will be navigating. Key Responsibilities: - **Technical Leadership & Strategy:** Craft and execute the technology roadmap for our Generative AI products, aligning technological advancements with overarching business objectives. - **AI/ML Product Development:** Drive the development of AI-powered products, fine-tuning models for optimal performance, scalability, and real-world applicability. - **Engineering Excellence:** Establish industry best practices in software development, DevOps, MLOps, and cloud-native architectures to foster a culture of continuous improvement. - **Team Leadership & Scaling:** Recruit, mentor, and supervise a proficient engineering team, nurturing a culture characterized by innovation and collaborative spirit. - **Cross-Functional Collaboration:** Collaborate closely with Product, Data Science, and Business teams to translate cutting-edge AI research into practical applications. - **Scalability & Performance Optimization:** Architect and enhance distributed systems to ensure the efficient deployment of AI models across cloud and edge environments. - **Security & Compliance:** Implement robust frameworks for AI ethics, data security, and compliance with industry standards and regulations. Qualifications & Skills: - Demonstrable experience of at least 12 years in software engineering, with a minimum of 3 years in leadership positions within AI-focused enterprises. - Profound expertise in Generative AI, Deep Learning, NLP, Computer Vision, and model deployment. - Hands-on familiarity with ML frameworks and leading cloud platforms such as AWS, GCP, and Azure. - Proven track record of scaling AI/ML infrastructure and optimizing models for superior performance and cost-effectiveness. - Comprehensive understanding of distributed systems, cloud-native architectures, and microservices. - Proficiency in MLOps, CI/CD, and DevOps practices. - Strong problem-solving acumen, strategic thinking, and adept stakeholder management skills. - Ability to attract, nurture, and retain top engineering talent in a competitive marketplace. Why Join Us - Lead a forward-thinking team at the forefront of Generative AI innovation. - Contribute to the development of scalable, high-impact AI products that are shaping the future of technology. - Embrace a truly entrepreneurial culture that champions imagination, innovation, and teamwork. - Collaborate with a high-caliber, collaborative team dedicated to driving excellence in the tech industry.,

As a visionary technical co-founder, you will combine engineering excellence with philosophical depth to embark on the journey of building something rare, intelligent, and deeply rooted. You will be driven by first-principle problem solving and AI that reasons instead of merely responding. Your role will involve leading the technical architecture of a foundational AI product while embodying the qualities of humility to listen and the conviction to build. Your core responsibilities will revolve around spearheading the design, development, and iteration of VIKAS AI's reasoning engine. This will include building and fine-tuning LLMs, integrating RAG pipelines, and designing multi-agent systems. You will architect systems that strike a balance between cultural depth, emotional nuance, and technical performance. Collaborating closely with the team, you will shape core product features such as culturally intelligent LLMs, an aesthetically curated image engine, and a short-form AI news video layer. Additionally, you will co-create the technical roadmap, hire the early team, and oversee the infrastructure. To excel in this role, strong experience in machine learning, NLP, and LLMs is essential. You should be proficient with Transformers, LangChain, HuggingFace, or similar frameworks and possess solid knowledge of Python, vector databases, and inference infrastructure. Experience with RAG (Retrieval-Augmented Generation) and agent-based architectures, as well as familiarity with embedding models, fine-tuning, and prompt engineering, will set you up for success. An added advantage would be an interest in Indic language modeling or symbolic reasoning, experience in building low-latency, high-context systems, and an eye for clean code, ethics, and culture. Beyond your technical skills, your philosophical outlook and values will play a crucial role in defining who you are as a builder-philosopher. Your commitment to cultural intelligence, ethical AI, and context-aware systems will be evident as you strive to bridge the gap in current AI capabilities. You will prioritize truth over hype, depth over speed, and alignment over noise, reflecting a holistic approach to your work. In return for your contributions, you will receive co-founder status with meaningful equity, the opportunity to be at the forefront of building a product with global potential and local essence, complete creative and architectural freedom to innovate from the ground up, and the guidance of a visionary founder who is relentless, clear, and deeply committed. This role offers you the chance to not just follow existing trends but to redefine the narrative by putting India on the map through innovative thinking and impactful solutions. If you are intrigued by this opportunity and resonate with the vision outlined, feel free to reach out by DM or email at vikasai150807@gmail.com. Let's engage in conversations that transcend mere features and delve into shaping promising futures.,

You are seeking a Senior AI/ML Architect with a cumulative experience of 10-12 years in software development and/or data analysis/machine learning to join the team in Ahmedabad. This is a full-time, onsite position suitable for individuals enthusiastic about designing and expanding production and enterprise AI/ML systems. Your responsibilities will include designing scalable AI/ML pipelines for training, inference, and deployment, leading MLOps architecture encompassing model versioning, monitoring, and CI/CD, translating business challenges into robust ML solutions, collaborating with cross-functional teams such as Product, Data, and Engineering, implementing responsible AI frameworks focusing on explainability and fairness, selecting and overseeing the AI/ML tech stack spanning cloud services, models, and tools, engaging in brainstorming sessions, and engaging in technical solutioning alongside the business and enterprise architect team, as well as managing client stakeholders effectively. Your expertise should cover Python, TensorFlow/PyTorch/Scikit-learn, MLflow, Airflow, Kubernetes, Docker, working with AWS/GCP/Azure for ML workflows, designing Data lake/Databricks Feature store, tackling model monitoring and drift, and possessing experience in NLP, CV, or forecasting models. Furthermore, it would be advantageous if you have exposure to LLMs, GPT, RAG, LangChain, expertise in GenAI or enterprise AI/ML implementation, and knowledge of vector databases and hybrid architectures. This is a full-time position with the flexibility of working day, morning, night, or US shifts, requiring your physical presence at the work location.,

You are a highly skilled and motivated Senior Machine Learning Engineer with over 5 years of experience in ML model development, MLOps pipelines, Python programming, and hands-on exposure to Generative AI technologies. In this role, you will play a key role in designing, developing, and deploying scalable machine learning models and production-grade AI solutions in a collaborative, fast-paced environment. Your responsibilities will include developing and implementing ML models across various domains such as predictive modeling, NLP, and computer vision. You will also be responsible for building and maintaining end-to-end MLOps pipelines for scalable model training, validation, deployment, and monitoring. Working with GenAI frameworks like LangChain, LlamaIndex, or Hugging Face Transformers for building advanced solutions will be a crucial part of your role. Collaboration with data scientists, data engineers, and DevOps teams to operationalize ML solutions is essential. You will need to write clean, efficient, and well-documented Python code for data preprocessing, feature engineering, and model building. Evaluating model performance, iterative improvements based on experimentation and business feedback, ensuring solutions meet performance, reliability, and scalability requirements, participating in code reviews, sprint planning, and design discussions are all key aspects of this role. To be successful in this position, you should have 5+ years of hands-on experience in Machine Learning and Model Development. Strong proficiency in Python and related ML libraries such as scikit-learn, PyTorch, TensorFlow, Pandas, NumPy is required. Experience with MLOps tools like MLflow, Airflow, Kubeflow, SageMaker, or similar is essential. You should have a solid understanding of Generative AI techniques and experience deploying ML models using containerization (Docker), cloud platforms (AWS/GCP/Azure), and CI/CD workflows. Familiarity with version control (Git), agile methodologies, and collaborative development environments is necessary. Excellent problem-solving, debugging, and analytical skills are crucial for this role. Strong communication and collaboration abilities, comfortable working in a hybrid and globally distributed team, are also required. Nice to have skills include experience with LLMOps and tools like Weights & Biases, VectorDBs (e.g., FAISS, Pinecone, Chroma), a background in software engineering or DevOps, exposure to front-end integration for AI applications (e.g., Streamlit, Gradio), and previous experience working in a late-shift or client-aligned shift model. The shift timings for this role are 2:00 PM to 11:00 PM IST (Hybrid Model 2-3 days onsite per week in Chennai office).,

As a Software Developer at Amdocs in Pune, India, you will be responsible for the design, development, modification, debugging, and maintenance of software systems. You will work on specific modules, applications, or technologies, dealing with sophisticated assignments during the software development process. Your key responsibilities will include owning specific modules within an application, providing technical support and guidance during solution design for new requirements, and resolving critical or complex issues. You will ensure that the code is maintainable, scalable, and supportable. Additionally, you will present software product demos to partners and customers, using your technical knowledge to influence product evolution. In this role, you will investigate issues by reviewing and debugging code, providing fixes, and workarounds. You will analyze and fix bugs, review changes for operability, and help mitigate risks from technical aspects. By bringing continuous improvements to software or business processes through innovative techniques and automation, you will reduce design complexity, response time, and enhance end-user experience. Your technical skills will be put to the test, with mandatory requirements including experience in deep learning engineering, strong NLP/LLM expertise, proficiency in Python and Terraform programming, building backend applications using Python and deep learning frameworks, deploying models, and building APIs. Knowledge of working with GPUs and vector databases like Milvus, Azure Cognitive Search, and experience with transformers and hugging face models is essential. You will work on developing and implementing Gen AI use-cases in live production, creating partnerships with project stakeholders, and providing technical assistance for important decisions. Good communication, problem-solving, relationship-building, adaptability, and prioritization skills will be crucial for success in this role. This position offers you the opportunity to specialize in software and technology, take an active role in technical mentoring within the team, and enjoy stellar benefits including health, dental, paid time off, and parental leave. Amdocs is an equal opportunity employer that values diversity and inclusivity in the workforce.,

As a member of our team at Softsensor.ai, you will be responsible for designing, developing, and maintaining Salesforce solutions using Apex, Visualforce, and other related technologies. Your role will involve customizing and enhancing Salesforce to align with the specific requirements of the business. Collaboration with cross-functional teams to design and implement new features will be a key aspect of your responsibilities. You will have the opportunity to work on achieving certain milestones on Trailhead related to Salesforce. Participating in code reviews to uphold high-quality standards, troubleshooting and debugging issues in existing applications, and ensuring that you are updated with the latest developments in Salesforce and related technologies will be essential parts of your daily tasks. Softsensor.ai is a USA and India-based corporation that focuses on delivering client outcomes using data-driven solutions. Our team comprises individuals with diverse expertise and experience in deploying solutions rapidly. We prioritize data science and analytics to enhance process and organizational performance, leveraging cutting-edge technologies such as NLP, CNN, and RNN in a business context. Join us at Softsensor.ai to contribute to innovative projects and work in a dynamic environment that values continuous learning and professional growth.,

Qualcomm India Private Limited is looking for a Lead Conversational AI Developer to join the Intelligent Automation Center (IAC) team. As a Lead Conversational AI Developer, you will be responsible for designing and implementing Conversational AI solutions using Microsoft Azure and Copilot Stack in combination with GenAI. You should have hands-on experience with Microsoft Copilot Studio, Microsoft Bot Framework, NLP, Azure AI Search, and Azure OpenAI. Additionally, you will be utilizing Generative AI in projects and should have a strong expertise in Python for building bot solutions. Furthermore, you will be working with Azure Cognitive Services, Power Automate, Azure Logic Apps, and APIs to enhance Copilot Agent and bot functionalities. You should have experience in software development focusing on Conversational AI and Machine Learning. Proficiency with tools and Frameworks such as LangChain, LlamaIndex, and Streamlit is required. Knowledge and implementation experience of chatbot technologies using Microsoft Azure Services and Power Platform is also essential. Responsibilities include ensuring the quality of coded components through unit testing, collaborating with test teams for product testing and UAT, reporting status, issues, and risks to tech leads, improving skills in automation products through certifications, and training team members on Conversational AI related technologies. You should be able to work independently with minimal supervision, possess good team management skills, and have excellent communication and collaboration skills. Minimum qualifications include 4+ years of work experience in programming, scripting, and/or automation with a Bachelor's degree or 6+ years of relevant work experience without a Bachelor's degree. Additionally, you should have 2+ years of experience with Database Design structures such as Mongo DB and MySQL. Knowledge of conversational AI, Intelligent Automation methodologies, Process Mining concepts, and experience in business process diagrams and process flow charts are required. Applicants should have a Bachelor's degree and at least 5 years of IT-relevant work experience. Certification in Industry Leading Robotic Automation products, experience in Agile development, and cloud experience are considered a plus. Qualcomm is an equal opportunity employer committed to providing accessible processes for individuals with disabilities. If you require accommodations during the application/hiring process, please contact Qualcomm.,

About the Role As a skilled Lead Data Scientist at Yubi, you will play a crucial role in designing, developing, and deploying ML/ RL models for Collection Campaign Recommendations/ Optimizations. Your primary responsibility will be to experiment and optimize collection campaigns across digital, telecalling, and field platforms. Leveraging your expertise in machine learning and strong Python programming skills, you will drive innovation and deliver business value for our clients. Key Responsibilities - Develop, implement, and maintain advanced analytical models and algorithms tailored to enhance debt collection processes. - Collaborate with business stakeholders to identify data-driven opportunities for improving debt collection strategies. - Continuously enhance existing models and integrate new data sources to optimize our approach. - Take ownership of the end-to-end process of metric design, tracking, and reporting related to debt collection performance. - Regularly improve and update metrics to align with business objectives and regulatory requirements. - Effectively communicate findings to both technical and non-technical stakeholders. - Mentor, train, and support junior data scientists, fostering a culture of continuous improvement and collaboration. - Lead cross-functional teams on data projects, ensuring alignment between data science initiatives and business goals. - Stay updated on the latest industry trends, tools, and best practices in analytics and debt management. Required Skills Technical Skills: - Profound understanding of machine learning algorithms, including supervised, unsupervised, and ensemble methods, and their application to risk. - Expertise in statistical analysis, hypothesis testing, regression analysis, probability theory, and data modeling techniques to extract insights and validate machine learning models. - Experience in designing, developing, and delivering end-to-end data products and solutions. - Proficiency in model explainability techniques (e.g., SHAP, LIME) and regulatory compliance for risk models. - Strong proficiency in Python. - Familiarity with PySpark is a plus. - Ability to build and deploy models on cloud platforms (AWS). - Proficiency in developing backend microservices using Fast API and working knowledge of MLOps. - Good to have experience with NLP techniques. Domain Skills (Good to have): - Previous domain expertise in debt collection processes, credit risk assessment, regulatory compliance, and industry best practices. - Demonstrated ability to design, implement, and optimize performance metrics and key performance indicators tailored for debt recovery initiatives. Education and Experience: - Bachelor's/Advanced degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. - 5 to 8 years of experience in the data science and machine learning domain. - Experience in the financial sector or Collection team is a bonus.,

As a Senior ML/AI Engineer at our Technology Innovation Lab, you will be a key member of a cross-disciplinary team dedicated to advancing AI and intelligent automation at HERE. Your primary responsibility will be to develop cutting-edge machine learning systems that leverage Agentic AI, Generative AI, and foundational ML techniques to drive the next generation of applications. Collaborating closely with technical leads, researchers, and engineers, you will prototype solutions to address real-world spatial, operational, and knowledge-driven challenges. Your role will involve architecting and implementing AI-first systems using technologies such as Large Language Models (LLMs), Autonomous Multi-Agent Architectures, and Classical ML models like regression, clustering, XGBoost, SVM, and tree-based learners. Leading the development of Agentic AI solutions will be a core aspect of your role, encompassing tasks such as orchestration, memory/context management, tool invocation, and human-agent collaboration. You will also be responsible for designing and delivering end-to-end Generative AI applications for various purposes including text generation, summarization, code synthesis, image generation, and multi-modal interfaces. Your expertise in deep learning techniques, including CNNs, RNNs (LSTM, GRU), GANs, Diffusion Models, Transformers, and Graph Neural Networks, will be crucial for tackling real-world tasks in vision, language, and planning. You will collaborate across teams to translate domain-specific problems into scalable, explainable, and production-ready AI solutions while incorporating responsible AI principles. Staying at the forefront of AI research will be essential, as you evaluate and implement emerging LLM models, agentic frameworks, and open-source innovations to ensure technical currency in this rapidly evolving field. You will also design and lead experiments across advanced AI/ML areas, encompassing computer vision, NLP, LLMs, and emerging domains like quantum computing, distributed computing, 3D modeling, AR/VR, and LiDAR/drone data processing. Writing efficient, production-quality code using Python and leveraging frameworks like PyTorch, TensorFlow, and Spark for large-scale ML training and inference will be part of your daily tasks. Defining and tracking KPIs at both individual and business unit levels, in collaboration with your manager, will ensure that your work drives impactful innovation. Supporting and mentoring engineers and data scientists in best practices related to prompt design, agent workflows, evaluation frameworks, and research translation will also be part of your responsibilities. Additionally, contributing to HERE's innovation footprint through patents, internal IP development, and peer-reviewed publications will be encouraged. To qualify for this role, you should hold a Master's degree or Ph.D. in Computer Science, AI/ML, Mathematics, or a related field. Candidates with a Master's degree should have 5-7 years of experience, while Ph.D. holders may have 3-5 years of relevant experience. A strong understanding of ML fundamentals, hands-on experience with deep learning architectures, proficiency in Python, and familiarity with ML frameworks are essential qualifications. Curiosity and exposure to adjacent technologies like TinyML, Quantum Computing, or 3D modeling/AR will be considered advantageous. At HERE Technologies, we are a location data and technology platform company dedicated to empowering our customers and making a positive impact on people's lives. If you are passionate about driving innovation and creating positive change in an open world, we invite you to join us on this exciting journey.,

As a NLP & Generative AI Engineer at Gigaforce, you will be part of our dynamic AI/ML team based in Noida, working on cutting-edge technologies to revolutionize the insurance claims processing industry. We are a California-based InsurTech company with a strong focus on innovation and digital transformation in the Property and Casualty sector. You must have a minimum of 2 years of hands-on experience in traditional machine learning, natural language processing, and modern generative AI techniques to be considered for this role. We are looking for individuals who are passionate about deploying GenAI solutions to production, working with open-source technologies, and handling document-centric pipelines efficiently. Your main responsibilities will include building and deploying NLP and GenAI-driven products focusing on document understanding, summarization, classification, and retrieval. You will be designing and implementing models using LLMs such as GPT, T5, and BERT, along with working on scalable, cloud-based pipelines for training, serving, and monitoring models. Collaboration is key at Gigaforce, and you will work closely with cross-functional teams including data scientists, ML engineers, product managers, and developers. Additionally, you will contribute to open-source tools and frameworks in the ML ecosystem, deploying production-ready solutions using MLOps practices, and working on distributed/cloud systems with GPU-accelerated workflows. To be successful in this role, you should have a strong grasp of traditional ML algorithms, NLP fundamentals, and modern NLP & GenAI models. Proficiency in Python, experience with cloud platforms like AWS SageMaker, GCP, or Azure ML, and familiarity with MLOps tools and distributed computing are essential. Experience with document processing pipelines and understanding insurance-related documents is a plus. If you are looking for a challenging role where you can lead the design, development, and deployment of innovative AI/ML solutions in the insurance industry, then this position at Gigaforce is the perfect opportunity for you. Join us in our mission to transform the claims lifecycle into an intelligent, end-to-end digital experience.,

As a Machine Learning and AI Specialist, you will be responsible for architecting and implementing cutting-edge solutions in the fields of Computer Vision, Natural Language Processing (NLP), and Large Language Models (LLMs). Your role will involve integrating these models into application ecosystems, collaborating with data engineering teams to develop robust pipelines, and conducting AI/ML research to ensure that our solutions stay ahead of industry trends. In addition to your technical responsibilities, you will also play a key role in mentoring junior team members, collaborating with stakeholders across departments, and ensuring the scalability and efficiency of our ML models. Participation in code reviews, planning discussions, and overall contribution to the team's success will be crucial aspects of your day-to-day work. To excel in this role, you must possess a strong foundation in programming, particularly in Python, and have experience working with frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, OpenAI, and Llama. Proficiency in data libraries like NumPy and Pandas, along with expertise in domains like Computer Vision, NLP, LLMs, and Data Science, will be essential for success. The ideal candidate for this position will hold a Bachelors or Masters degree in Computer Science, Data Science, or a related field, and have a minimum of 4 years of experience in Data Science and Machine Learning, with at least 2 years of experience in enterprise applications. Strong analytical and communication skills, along with the ability to manage multiple projects in a fast-paced environment, will be key to thriving in this role. This is a full-time position based in Noida, with a day shift schedule that requires in-person work at the designated location. If you are passionate about leveraging AI and ML technologies to drive innovation and solve complex challenges, we encourage you to apply and join our dynamic team.,

The position available at Alegra Labs requires experienced candidates with a minimum of 2 to 3 years of relevant experience. The ideal candidate should have a strong understanding of Version Control, including familiarity with Git GUI and Command Line. Additionally, proficiency in Unit Testing, particularly Test-Driven Development (TDD), and experience with CI/CD Pipeline is expected. It is essential that candidates are well-versed in Open Source technologies and have a good grasp of Linux systems. Candidates applying for this position must have expertise in at least one JavaScript framework such as Angular, React, or Vue. While VueJS is preferred, proficiency in any JavaScript framework is acceptable. Mere knowledge of Python is not sufficient; applicants should be capable of running programs as Web Applications and have experience with Python frameworks like Flask and Django. Familiarity with Artificial Intelligence technologies such as Scikit, Spacy, TensorFlow, Pytorch, OpenCV, as well as knowledge in Natural Language Processing (NLP) and Deep Neural Networks is highly desired. Moreover, the candidate should have experience in deploying Python applications on NGINX, running Python applications through UWSGI on specific ports, and a comprehensive understanding of Linux systems. The ideal candidate for this role should be well-versed in various technologies and tools to effectively contribute to the development and deployment of applications.,

About Us At Digilytics, we specialize in building and delivering user-friendly AI products tailored to the secured lending and consumer industry sectors. Unlike many other tech solutions, our approach is grounded in a thorough understanding of our clients" business dynamics and the factors that drive or hinder their success. Founded by Arindom Basu, Digilytics is led by a team deeply committed to leveraging cutting-edge technology for sustainable business growth. With a collective experience of over 50 years in technology-driven transformations, our leadership prioritizes values and long-term success. Currently, our primary focus is on developing RevEL, a groundbreaking product aimed at revolutionizing loan origination processes for mortgages and secured lending. Additionally, we are working on RevUP, a product designed to enhance trade sales for consumer industry clients such as auto and FMCG companies. About The Role The role we are offering involves a unique blend of business acumen, data science expertise, and proficiency in digital and analytics technologies to drive profitable growth. Key responsibilities include: - Understanding the underlying factors that contribute to or detract from business value - Utilizing data science techniques to extract insights from both internal and external data sources - Implementing digital and analytics technologies to create scalable and user-friendly solutions Digilytics is currently in the process of developing an AI-enabled product, RevEL, with a focus on enhancing credit lending operations for lenders in the UK and US markets, with plans for expansion to other regions in the future. We are seeking a talented individual with a passion for data science and python engineering, who possesses the skills to research, design, and deploy AI models using python and cloud-based technologies. The ideal candidate should be enthusiastic about contributing to a growing company and have relevant industry experience to make a meaningful impact on our platform and products. Skills The role requires a diverse skill set, and we are specifically looking for a strong communicator with extensive experience in data science techniques and python engineering. As part of the product engineering team, the successful candidate will: - Embrace the Digilytics vision and stay updated on the latest advancements in AI - Collaborate with the product engineering leader to architect and develop python-based applications - Demonstrate proficiency with tools such as Pytorch, Django/Flask, and API development - Be familiar with innovative techniques like Open Weighted LLM+RAG and Agentic AI MCP framework - Lead a team of data scientists and python developers to drive excellence across our global operations in India, UK, and US - Engage with various stakeholders and coordinate with teams across different regions Experience We are looking for a candidate with the following qualifications and experience: - Demonstrated ability to work in diverse organizational settings, ranging from small setups to larger corporations with multicultural exposure - Experience in managing teams of 10-15 resources - 5-7 years of hands-on experience in client-facing roles or technology product environments, with a focus on deploying models - Proficiency in software skills relevant to data science - Understanding of computational analysis, search, and machine learning techniques - Familiarity with analytics tools and landscape - Domain expertise in serving customers within the Financial Services sector - Proven track record of architecting machine learning pipelines for production environments Background Candidates for this role should possess the following educational background and qualifications: - Bachelor's degree or higher in Software Engineering or Computer Science, with a strong emphasis on python programming - Formal training in AI technologies and financial services domain will be advantageous Please note: The job description mentioned above is referenced from hirist.tech,

Notice Period : Immediate - 15 Days About the Role : We are seeking a highly skilled Senior Data Scientist to join our team and contribute to cutting-edge projects. As a key member of our data science team, you will leverage your expertise in machine learning, natural language processing, and data engineering to develop innovative solutions that drive business value. Responsibilities : - Machine Learning Model Development : Design, develop, and deploy advanced machine learning models, focusing on natural language processing tasks such as text classification, sentiment analysis, and language generation. - Data Engineering : Extract, transform, and load (ETL) data from various sources, ensuring data quality and consistency. - NLP Techniques : Apply state-of-the-art NLP techniques, including language models and text processing, to solve complex problems. - Python and ML Frameworks : Utilize Python programming language and popular ML frameworks like PyTorch or TensorFlow to build efficient and scalable models. - Cloud and Containerization : Leverage cloud platforms (GCP, AWS) and containerization technologies (Docker) for efficient deployment and management of ML models. - Database Management : Work with relational databases (Postgres, MySQL) to store, manage, and query large datasets. - Knowledge Graphs and ML Publications : Contribute to the development of knowledge graphs and stay updated with the latest advancements in the field through research and publications. Qualifications : Experience : 4-7 years of hands-on experience in data science, with a strong focus on machine learning and natural language processing. Technical Skills : - Proficiency in Python programming language. - Deep understanding of machine learning algorithms and techniques. - Expertise in NLP, including language models and text processing. - Familiarity with ML frameworks like PyTorch or TensorFlow. - Experience with cloud platforms (GCP, AWS) and containerization (Docker). - Knowledge of relational databases (Postgres, MySQL). Soft Skills : - Strong problem-solving and analytical skills. - Excellent communication and collaboration abilities. - Ability to work independently and as part of a team. Benefits : - Competitive salary and benefits package. - Opportunities for professional growth and development. - Collaborative and supportive work environment.

Responsibilities : - Design and Development : Architect, design, and develop user-friendly and scalable AI-powered applications using React.js for the frontend and Node.js for the backend. - Generative AI Implementation : Implement, integrate, and fine-tune Generative AI models (e.g., text generation, image synthesis) for specific application requirements. - API Development and Integration : Develop and consume RESTful and GraphQL APIs to facilitate communication between frontend applications and AI/ML models and backend services. - LLM and NLP Integration : Leverage Large Language Models (LLMs) and Natural Language Processing (NLP) techniques to enhance application features and user interactions. - Machine Learning Frameworks : Utilize and integrate various machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) as needed for specific AI functionalities. - Performance Optimization : Optimize AI models and application code for performance, scalability, reliability, and cost-effectiveness. - Collaboration : Collaborate effectively with data scientists, machine learning engineers, backend developers, product managers, and designers throughout the development lifecycle. - Code Quality and Best Practices : Write clean, well-documented, and testable code, adhering to best practices and contributing to CI/CD pipelines for continuous integration and deployment. - Research and Innovation : Stay abreast of the latest advancements in Generative AI, Large Language Models, NLP, web development technologies, and industry trends. Proactively explore and propose new technologies and approaches to enhance our products. - Problem Solving : Troubleshoot and resolve technical issues related to AI model integration, application performance, and API interactions. - Documentation : Create and maintain comprehensive technical documentation for developed components and systems. Qualifications : - Education : Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field. - Experience : [Specify the desired years of experience - e.g., 2-5 years] of professional experience in full-stack development with a focus on frontend (React.js) and backend (Node.js) technologies. - Frontend Expertise : Proven experience in developing responsive and dynamic user interfaces using React.js, including state management libraries (e.g., Redux, Zustand, Context API), component-based architecture, and modern JavaScript (ES6+). - Backend Expertise : Solid experience in developing robust and scalable backend applications using Node.js and frameworks like Express.js or NestJS. - API Development : Strong understanding and practical experience in designing and implementing RESTful and/or GraphQL APIs. - AI/ML Fundamentals : Familiarity with fundamental concepts of Artificial Intelligence and Machine Learning, including different types of models and their applications. - Generative AI Exposure : Experience with implementing or fine-tuning Generative AI models (e.g., using libraries or cloud-based services). - LLM and NLP Knowledge : Understanding of Large Language Models (LLMs) and Natural Language Processing (NLP) concepts and their practical applications. - Machine Learning Frameworks (Desirable) : Familiarity with one or more machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. - Database Knowledge : Experience working with various database systems (e.g., PostgreSQL, MySQL, MongoDB). - DevOps Practices : Understanding of CI/CD pipelines and experience with relevant tools (e.g., Jenkins, GitLab CI/CD, GitHub Actions). - Testing : Experience with writing unit, integration, and end-to-end tests. - Problem-Solving Skills : Excellent analytical and problem-solving abilities. - Communication Skills : Strong written and verbal communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences. - Collaboration : Ability to work effectively in a collaborative team environment