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What you’ll do: Utilize advanced mathematical, statistical, and analytical expertise to research, collect, analyze, and interpret large datasets from internal and external sources to provide insight and develop data driven solutions across the company Build and test predictive models including but not limited to credit risk, fraud, response, and offer acceptance propensity Responsible for the development, testing, validation, tracking, and performance enhancement of statistical models and other BI reporting tools leading to new innovative origination strategies within marketing, sales, finance, and underwriting Leverage advanced analytics to develop innovative portfolio surveillance solutions to track and forecast loan losses, that influence key business decisions related to pricing optimization, credit policy and overall profitability strategy Use decision science methodologies and advanced data visualization techniques to implement creative automation solutions within the organization Initiate and lead analysis to bring actionable insights to all areas of the business including marketing, sales, collections, and credit decisioning Develop and refine unit economics models to enable marketing and credit decisions What you’ll need: 5 to 8 years of experience in data science or a related role with a focus on Python programming and ML models. Strong in Python, experience with Jupyter notebooks, and Python packages like polars, pandas, numpy, scikit-learn, matplotlib, etc. Experience with ML lifecycle: data preparation, training, evaluation, and deployment Hands-on experience with GCP services for ML & data science Experience with Vector Search and Hybrid Search techniques Embeddings generation using BERT, Sentence Transformers, or custom models Embedding indexing and retrieval (Elastic, FAISS, ScaNN, Annoy) Experience with LLMs and use cases like RAG Understanding of semantic vs lexical search paradigms Experience with Learning to Rank (LTR) and libraries like XGBoost, LightGBM with LTR support Proficient in SQL and BigQuery Experience with Dataproc clusters for distributed data processing using Apache Spark or PySpark Model deployment using Vertex AI, Cloud Run, or Cloud Functions Familiarity with BM25 ranking (Elasticsearch or OpenSearch) and vector blending Awareness of search relevance evaluation metrics (precision@k, recall, nDCG, MRR) Life at Next: At our core, we're driven by the mission of tailoring growth for our customers by enabling them to transform their aspirations into tangible outcomes. We're dedicated to empowering them to shape their futures and achieve ambitious goals. To fulfil this commitment, we foster a culture defined by agility, innovation, and an unwavering commitment to progress. Our organizational framework is both streamlined and vibrant, characterized by a hands-on leadership style that prioritizes results and fosters growth. Perks of working with us: Clear objectives to ensure alignment with our mission, fostering your meaningful contribution. Abundant opportunities for engagement with customers, product managers, and leadership. You'll be guided by progressive paths while receiving insightful guidance from managers through ongoing feedforward sessions. Cultivate and leverage robust connections within diverse communities of interest. Choose your mentor to navigate your current endeavors and steer your future trajectory. Embrace continuous learning and upskilling opportunities through Nexversity. Enjoy the flexibility to explore various functions, develop new skills, and adapt to emerging technologies. Embrace a hybrid work model promoting work-life balance. Access comprehensive family health insurance coverage, prioritizing the well-being of your loved ones. Embark on accelerated career paths to actualize your professional aspirations. Who we are? We enable high growth enterprises build hyper personalized solutions to transform their vision into reality. With a keen eye for detail, we apply creativity, embrace new technology and harness the power of data and AI to co-create solutions tailored made to meet unique needs for our customers. Join our passionate team and tailor your growth with us!

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience. BDC Post Silicon Engineering group has an opening for a Digital Bench characterization Engineer. This group develops Test solutions for Design verification of Highly integrated SOCs (System on Chip) designed by Qualcomm. We work with Design, System, Program Management, Yield, Reliability and Manufacturing teams to Test, support and commercialize Qualcomms products. As part of the Post Silicon Engineering group, you will be responsible for developing Test strategy & executing Bench characterization for leading edge LPDDR & PCDDR Subsystem components (DRAM, DRAM Controller, DRAM PHY, IOs, PLL/DLL, clocking architecture, Delay circuits, Power Distribution Network) and High-Speed IO interfaces (PCIe, USB2/3, Display Port, HDMI, MIPI-CSI/DSI, UFS & PLL). You will drive first Silicon debug, qualify semiconductor fabrication process, evaluate parametric performance of DDR & High-Speed IO IPs and perform failure analysis to root-cause a design problem. You with be working with IC design engineering, system engineering and Hardware applications engineering teams across the globe in a time critical environment. Education MTech, BTech or Equivalent in Electronics or Electrical Engineering with 1-3 years of related work experience Skills/Experience: Solid understanding of Electronics engineering fundamentals, DDR & High-Speed IO circuit analysis techniques and Semiconductor manufacturing process, Good understanding of Test and characterization methodology of DDR and High-Speed IO interfaces In-depth understanding of Mobile & PC DDR 2/3/4 protocol, timing diagrams, HSIO IPs PHY level understanding and Electrical parametric compliance specifications (eye diagram, differential signaling, jitter analysis, Receiver-Jitter-Tolerance, signal integrity, transmission line considerations, de-embedding). Hands-on experience using Bench instruments such as oscilloscopes, J-BERT, network / spectrum analyzers, signal generators and Logic analyzers is a must. Solid software skills for writing and debugging Test code using C, C# or Python. LabView knowledge is a plus. Using CAD software such as Mentor Graphics DA or Cadence Allegro is a plus. Ability to work effectively in a fast-paced environment with strong verbal and written communication skills. Keywords DDR, High-Speed IO, Electrical Spec compliance, Eye Diagram, Jitter, C, C#, Python, LabVIEW

So, what’s the role all about? NICE provides state-of-the-art enterprise level AI and analytics for all forms of business communications between speech and digital. We are a world class research team developing new algorithms and approaches to help companies with solving critical issues such as identifying their best performing agents, preventing fraud, categorizing customer issues, and determining overall customer satisfaction. If you have interacted with a major contact center in the last decade, it is very likely we have processed your call. The research group partners with all areas of NICE’s business to scale out the delivery of new technology and AI models to customers around the world that are tailored to their company, industry, and language needs. How will you make an impact? Conduct cutting-edge research and develop advanced NLP algorithms and models. Build and fine-tune deep learning and machine learning models, with a focus on large language models. Work closely with internal stakeholders to define model requirements and ensure alignment with business objectives. Develop AI predictive models and perform data and model accuracy analyses. Produce and present findings, technical concepts, and model recommendations to both technical and non-technical stakeholders. Develop and maintain scripts/tools to automate both new model production and updates to existing model packages. Stay abreast of the latest advancements in data science research and contribute to the development of our knowledge base. Collaborate with developers to design automation and tool improvements for model building. Maintain documentation of processes and projects across all supported languages and environments. Have you got what it takes? Master's degree in the field of Computer Science, Technology, Engineering, Math, or equivalent practical experience Minimum of 8 years of data science work experience, including implementing machine learning and NLP models using real-life data. Experience with Retrieval-Augmented Generation (RAG) pipelines or LLMOps. Advanced knowledge of statistics and machine learning algorithms. Proficiency in Python programming and familiarity with R. Experience with deep learning models and libraries such as PyTorch, TensorFlow, and JAX. Familiarity with relational databases and query languages (e.g., MSSQL) and basic SQL knowledge. Hands-on experience with transformer models (BERT, FlanT5, Llama, etc.) and GenAI frameworks (HuggingFace, LangChain, Ollama, etc.). Experience deploying NLP models in production environments, ensuring scalability and performance using AWS/GCP/Azure Strong verbal and written communication skills, including effective presentation abilities. Ability to work independently and as part of a team, demonstrating analytical thinking and problem-solving skills. You will have an advantage if you also have: Expertise with Big Data technologies (e.g., PySpark). Background in knowledge graphs, graph databases, or GraphRAG architectures. Understanding of multimodal models (text, audio, vision). Experience in Customer Experience domains. Experience with package development and technical writing. Familiarity with tools like Jira, Confluence, and source control packages and methodology. Knowledge and interest in foreign languages and linguistics. Experience working on international, globe-spanning teams and with AWS. Past participation in a formal research setting. Experience as part of a software organization. What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr! Enjoy NICE-FLEX! At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID : 7481 Reporting into : Tech Manager Role Type : Individual Contributor

Senior Engineer-NLP: Elevate Your Impact Through learning Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies. With a presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients' business impact and strategic decision-making. Our team of over 4, 500 talented professionals operates in countries such as India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets like Colombia, the Middle East, and the rest of Asia-Pacific. Recognized by Great Place to Work in India, Chile, Romania, the US, and the UK in 2022, we offer a dynamic, growth-oriented, and meritocracy-based culture that prioritizes continuous learning and skill development, work-life balance, and equal opportunity for all. A bout Innovation and Technology Centre (ITC) Our Innovation and Technology Centre specializes in creating modular solutions to meet clients' specific needs. As a member of the team, you will have the opportunity to develop and implement digital products, platforms, and tools specifically designed for research, analytics, and data management domains. We are at the forefront of technological advancements, and our AI efforts rely on our larger platform called AI for Research and Analytics (AIRA). What you will be doing at Evalueserve Building and implementing advanced machine learning (ML) and deep learning (DL) algorithms and models Applying different natural language processing (NLP) techniques to problems such as text classification, text summarization, questions and answers, information retrieval, knowledge extraction, and design of conversational bots by using traditional and generative AI techniques Contributing to the design and development of enterprise-grade generative AI applications, including but not limited to advanced RAG, VDB optimization, LLM evaluation, and finetuning Designing and developing a practical and analytical approach while maintaining a focus on aspects such as data quality and availability, feasibility, scalability, and turnaround time What were Looking for At least a bachelors /master`s degree in computer science, information systems, statistics, mathematics, or a related field Strong understanding of data science processes, such as data investigation, cleaning, minimal viable models, and nuances related to the deployment and enhancement About 38 years of experience in NLP, ML, and DL More than one year of experience in generative AI application development at the production level Demonstrated ability in developing NLP / ML / DL / generative AI project solutions here Hands-on experience and deep theoretical expertise in NLU, NLP, NLG, and common NLP algorithms and DL architectures such as Transformers, BERT, word2vec, FastText, and ELMO Hands-on experience in building and handling product-level delivery of knowledge graphs, ranking algorithms, recommendation engines, etc In-depth knowledge and experience in handling open-source frameworks, such as TensorFlow, PyTorch, and Huggingface Transformers Expert-level programming experience in Python / C++ Familiarity with general software design concepts, product development lifecycles, and ML model deployment best practices Experience in analyzing large amounts of user-generated content and process data in large-scale environments by using cloud infrastructure Proficiency in scraping data from external sources and developing architectures to store and organize the information for generating insights Experience in contributing to open-source software projects Experience and tenacity to go beyond available tools / techniques to design solutions in line with product requirements Ability to communicate with internal and external stakeholders and convey complex information clearly and concisely Understanding of the cultural differences and work styles in a global environment Want to learn more about our culture and what its like to work with us? Write to us at: careers@evalueserve.com Disclaimer: The following job description serves as an informative referencefor the tasks you may be required to perform. However, it does not constitutean integral component of your employment agreement and is subject to periodicmodifications to align with evolving circumstances.

In an increasingly connected world, the pandemic has highlighted just how essential telecom networks are to keeping society running.The Network Infrastructure group is at the heart of a revolution to connectivity, pushing the boundaries to deliver more and faster network capacity to people worldwide through our ambition, innovation, and technical expertise Join Optical Networks division, where innovation meets scale in the AI-driven data center era. With the recent acquisition of Infinera, weve united two industry leaders to create an optical networking powerhousecombining cutting-edge technology with proven leadership to redefine the future of connectivity. Infinera is now part of the Nokia Corporation and its subsidiaries. When you apply, the information you share will be handled with care and used only for recruitment purposes within the group. The Software QA Engineer is a key member of the Regional Escalation Support (RES) Team within the Technical Assistance Center (TAC) organization. In this role, the engineer handles advanced fault isolation and troubleshooting for complex customer issues. This position works cross-functionally with Software/Hardware Engineering, Product Line Management (PLM), Global Technical Support (GTS), and other Nokia teams to drive timely and effective resolution of issues impacting customer networks. Key responsibilities include managing assigned escalation support requests, enhancing customer satisfaction, and delivering software solutions through defect resolution, product improvements, documentation updates, and custom solution development. Prior experience with long haul or metro optical networks required Practical knowledge of Ethernet, SONET/SDH, DWDM and OTN Experience with optical test sets and solid optical troubleshooting skills using OTDR, OSA, BERT, optical power meters etc. Hands-on testing experience with ROADM, EDFA, Raman Amplifiers and Coherent Transponders Knowledge in TCP/IP networking, L2/L3 routing and switching is a plus Prior system test, scripting and/or new product introduction experience required Extensive experience with traffic generators and network protocols analysis tools Strong problem-solving skills, applicable to large and complex network scenarios Experience with creating Power Point presentations and Excel Highly detail-oriented, excellent analytical and troubleshooting skills Candidate must possess excellent inter-personal, oral and written communication skills Investigate and troubleshoot customer issues in both Production and Lab environments Provide root cause analysis and suggestions for corrective actions Produce and deliver Customer facing documents that explain technically complex issues Produce and deliver post-mortem actions to resolve issues in Customer networks Responsible for understanding the technical aspects of the supported product releases and diagnostic logs to provide expert advice concerning any issues that may arise Contribute to the development of Knowledge Base content Review new release of technical documents for accuracy and completeness Test and validate customized scripts prior to release Develop and support sustaining Technical Notes and Field Service Bulletins to be utilized by both internal and external operators

Job Description: We are looking for a skilled Data / Analytics Engineer with hands-on experience in vector databases and search optimization techniques . You will help build scalable, high-performance infrastructure to support AI-powered applications like semantic search , recommendation systems , and RAG pipelines . Key Responsibilities: Optimize vector search algorithms for performance and scalability. Build pipelines to process high-dimensional embeddings (e.g., BERT , CLIP , OpenAI ). Implement ANN indexing techniques like HNSW , IVF , PQ . Integrate vector search with data platforms and APIs . Collaborate with cross-functional teams (data scientists, engineers, product). Monitor and resolve latency , throughput , and scaling issues. Must-Have Skills: Python AWS Vector Databases (e.g., Elasticsearch , FAISS , Pinecone ) Vector Search / Similarity Search ANN Search Algorithms HNSW , IVF , PQ Snowflake / Databricks Embedding Models – BERT , CLIP , OpenAI Kafka / Flink for real-time data pipelines REST APIs , GraphQL , or gRPC for integration Good to Have: Knowledge of semantic caching and hybrid retrieval Experience with distributed systems and high-performance computing Familiarity with RAG (Retrieval-Augmented Generation) workflows Apply Now if You: Enjoy solving performance bottlenecks in AI infrastructure Love working with cutting-edge ML models and search technologies Thrive in collaborative , fast-paced environments

Design and develop Generative AI models for specific business applications. Fine-tune and optimize large language models for performance and accuracy. Build custom pipelines to integrate generative AI into business workflows. Research and implement state-of-the-art techniques in Generative AI. Ensure ethical AI practices and compliance with relevant guidelines. Key Skills: Strong understanding of NLP and Generative AI models like GPT, BERT, or Stable Diffusion. Proficiency in Python and experience with AI frameworks like Hugging Face or OpenAI APIs. Familiarity with prompt engineering and fine-tuning techniques. Excellent collaboration and documentation skills.

At GreenStitch , we are on a mission to revolutionise the fashion and textile industry through cutting-edge climate-tech solutions. We are looking for a highly skilled Data Scientist-I with expertise in NLP and Deep Learning to drive innovation in our data-driven applications. This role requires a strong foundation in AI/ML, deep learning, and software engineering to develop impactful solutions aligned with our sustainability and business objectives. The ideal candidate demonstrates up-to-date expertise in Deep Learning and NLP and applies it to the development, execution, and improvement of applications. This role involves supporting and aligning efforts to meet both customer and business needs. You will play a key role in building strong relationships with stakeholders, identifying business challenges, and implementing AI-driven solutions. You should be adaptable to competing demands, organisational changes, and new responsibilities while upholding GreenStitchs mission, values, and ethical standards. What Youll Do: AI-Powered Applications: Build and deploy AI-driven applications leveraging Generative AI and NLP to enhance user experience and operational efficiency. Model Development: Design and implement deep learning models and machine learning pipelines to solve complex business challenges. Cross-Functional Collaboration: Work closely with product managers, engineers, and business teams to identify AI/ML opportunities. Innovation & Experimentation: Stay up-to-date with the latest AI/ML advancements , rapidly prototype solutions, and iterate on ideas for continuous improvement . Scalability & Optimisation: Optimise AI models for performance, scalability, and real-world impact , ensuring production readiness. Knowledge Sharing & Thought Leadership: Contribute to publications, patents, and technical forums; represent GreenStitch in industry and academic discussions . Compliance & Ethics: Model compliance with company policies and ensure AI solutions align with ethical standards and sustainability goals. Communication: Translate complex AI/ML concepts into clear, actionable insights for business stakeholders. What Youll Bring: Education: Bachelors/Masters degree in Data Science, Computer Science, AI, or a related field . Experience: 1-3 years of hands-on experience in AI/ML, NLP, and Deep Learning . Technical Expertise: Strong knowledge of transformer-based models (GPT, BERT, etc.), deep learning frameworks ( TensorFlow, PyTorch ), and cloud platforms ( Azure, AWS, GCP ). Software Development: Experience in Python, Java , or similar languages, and familiarity with MLOps tools . Problem-Solving: Ability to apply AI/ML techniques to real-world challenges with a data-driven approach. Growth Mindset: Passion for continuous learning and innovation in AI and climate-tech applications. Collaboration & Communication: Strong ability to work with cross-functional teams , communicate complex ideas, and drive AI adoption. Why GreenStitch GreenStitch is at the forefront of climate-tech innovation, helping businesses in the fashion and textile industry reduce their environmental footprint. By joining us, you will: Work on high-impact AI projects that contribute to sustainability and decarbonisation. Be part of a dynamic and collaborative team committed to making a difference. Enjoy a flexible, hybrid work model that supports professional growth and work-life balance. Receive competitive compensation and benefits , including healthcare, parental leave, and learning opportunities .

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. Job Overview TE Connectivity's Supplier Development Teams find and develop suppliers to support the strategic sourcing organization in driving incremental performance in supplier quality, delivery, price and service. They teach new suppliers on how to work with TE (portal access, e-procurement tool usage, TE procedures, etc.). They extend TE Operational Advantage into the supply base to generate continuous improvement in the extended value stream, deliver incremental improvements through supplier development lead projects and achieve improvement targets specific for supplier development. They also help drive selection and development of the best total cost supply option in the region where the commodity or service is consumed. They keep abreast of emerging market options and inform the broader procurement organization of trends and new supply options. Responsibility: Electrical circuit & PCB design and optoelectronic component selection. Prototype development and evaluation Definition and/or Development of test systems for opto-electronic products Definition and coordination of test programs for purposes of design verification and product qualification Serve as liaison between Business Development, Marketing, Sales, Procurement, Manufacturing, contract design teams, customers, suppliers, and various other Engineering functions Generation of product drawings, application specifications, and instruction sheets Implementation of design changes to enhance product quality, improve manufacturability, and/or reduce manufacturing cost Review functional/performance specifications provided by customers and ensure that product requirements have been properly defined and documented prior to production. Perform/coordinate failure analysis work and determine corrective actions Initiation of Engineering Changes to improve designs, improve manufacturing, or respond to changes requested by the customer Achieve scope, schedule, and budget requirements Report out on project status as needed Meet all established project deadlines Regularly keep management informed of problems, issues, and status of on-going projects. Work with local and global counterpart / stake holder for ensuring quality deliverable and project execution. Work closely with third party vendor / supplier to define the technical requirements for the product and project execution. Mentor the new team members on design and development of opto-electronics products Desired Candidate Profile Education/ Knowledge: BE/BTech with specialization in Electronics & Communications Engineering Min 3 years of experience in Electronics board design and development for aerospace/ automotive/industrial applications Critical experience: Electronics hardware design for industrial, defense, automotive and aerospace applications Experience with optical transceivers with associated electronics hardware design Capable of High-Speed RF and/or Mixed Signal hardware Circuit Schematic and PCB layout Design and analysis Experience with Ethernet, Fiber Channel, Infiniband, and Rapid I/O standards Familiar with the SMPTE and DVI/HDMI video standards and protocols like I2C and SPI Experience with BERT testing and eye diagram analysis of opto-electronic devices and transceivers is a plus. Experience in embedded control hardware design for power electronics applications such power distribution units (PDU), motor drivers, smart power switching will be added advantage Experience with standard test equipment such as oscilloscopes, power meters, logic analyzers, signal/spectrum analyzers, etc. Experience with EMI/EMC requirements, qualification processes and electronics documentation Familiar with RF Microwave design and use of ADS, Sonnet and HFSS software will be an added advantage Familiar with software development and tools will be an added advantage Competencies EOE, Including Disability/Vets Location

Job Title: Lead Data Scientist NLP & Computer Vision Location: India (Remote, with monthly travel to Indore and occasional travel to the UK) Employment Type: Permanent, Full-time About the Role We’re seeking an ambitious and highly capable Lead Data Scientist with deep expertise in Natural Language Processing (NLP) and Computer Vision (OpenCV) to take a leading role in our AI journey. This is a hands-on technical role with strategic scope — ideal for someone who thrives in building robust solutions, mentoring others, and wants to grow into a Head of Data Science position.You’ll be responsible for delivering high-impact AI projects across diverse data domains (text, image, and structured data), while also setting technical direction, guiding junior colleagues, and helping shape our data science capability across the organisation. Excellent communication — both written and spoken — will be critical, as you’ll work closely with technical and non-technical stakeholders in India and internationally.Key Responsibilities• Design, build, and deploy production-ready NLP and computer vision models to solve real-worldproblems.• Lead by example with hands-on development, research, and experimentation using cutting-edge ML/DL techniques. • Guide and mentor a small team of junior/mid-level data scientists and actively contribute to their growth. • Collaborate with cross-functional teams (Engineering, Product, Business) across geographies. • Apply advanced NLP techniques (e.g. classification, summarisation, entity extraction, semantic search) using tools like spaCy, HuggingFace Transformers, BERT, GPT, etc. • Solve computer vision challenges (e.g. object detection, image classification, feature extraction) using OpenCV, PyTorch, TensorFlow, etc. • Drive quality and performance tuning, experimentation frameworks, and model lifecycle practices. • Contribute to defining a strategic roadmap for data science and AI within the business. • Work with cloud platforms (Azure, AWS) for model training, deployment, and monitoring. • Occasionally travel to Indore (monthly) and to the UK (as needed) for collaborative sessions and leadership meetings.Required Skills & Experience • 6+ years of hands-on experience in data science, with at least 4 years focused on NLP and computer vision. • Strong Python skills, including use of Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch. • Experience deploying ML models in cloud environments (Azure, AWS, or similar). • Solid grounding in machine learning fundamentals and deep learning architectures. • Proven ability to solve end-to-end ML problems — from exploration to deployment and monitoring. • Experience mentoring junior team members or leading technical efforts. • Excellent spoken and written English communication skills – able to clearly convey complex ideas to both technical and business audiences. • Collaborative mindset, with the ability to engage confidently across distributed teams and international stakeholders.Nice to Have • Experience with MLOps, experiment tracking, and CI/CD for machine learning (e.g. MLFlow, DVC,Kubeflow). • Exposure to geospatial, public sector, real estate, or sustainability data domains. • Familiarity with ethical AI principles, model interpretability, and responsible data use.

First Due is a leading technology company dedicated to empowering first responders with innovative software solutions that enhance their effectiveness and safety. We provide critical tools for incident management, pre-planning, community risk reduction, and more. We are committed to leveraging cutting-edge technologies, including Artificial Intelligence, to further revolutionize public safety and support the vital work of firefighters, EMS professionals, and law enforcement. We are actively developing and integrating AI features to provide actionable insights, improve decision-making, and ultimately save lives. We are seeking a highly skilled in GenAI, LLM, NLP, etc. and motivated Lead AI Engineer to spearhead the development and integration of impactful AI features into our suite of products for first responders. This is an exciting opportunity to shape the future of technology for first responders and grow with a mission-driven company. More @ https://www.naukri.com/first-due-overview-8479419 or https://www.firstdue.com/ Responsibilities : Lead the design, development, and implementation of AI Solutions, AI/ML models and algorithms, leveraging Large Language Models (LLMs) and fine-tuning techniques Collaborate with cross-functional teams to integrate AI solutions into our products. Stay abreast of the latest advancements in AI/ML, LLMs, and related technologies Champion and enforce high standards for code quality, testing, and documentation within the AI team Identify and address performance bottlenecks in AI models and infrastructure to ensure efficient and scalable solutions suitable for time-sensitive operational environments. Requirements : Bachelors degree in computer science or engineering, or a related field. 8+ years of experience in AI/ML development with a strong applied track record. Proficiency in Python and major ML/DL frameworks (e.g., TensorFlow, PyTorch, Hugging Face). Proven experience with GenAI / LLMs, prompt engineering, vector databases , etc. experience with prompt engineering , RAG , and fine tuning . Experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services. Solid understanding of machine learning algorithms, statistical modeling, and evaluation metrics. Experience postproduction support to AI products / applications is a must. Excellent problem-solving and analytical skills. Ability to communicate complex ideas clearly and effectively. Desired Traits : Prior experience in a lead or senior role mentoring other developers. Creativity and innovative thinking. Attention to detail and precision. Strong communication and teamwork abilities. Work mode & Timings : Remote, US time zone, EST, 9 am to 6 pm

Client Name: WIPRO Location: PAN INDIA Mode: Hybrid Job Description: Experience Required: 10+ years in AI/ML and Solution Architecture roles (Strong programming and system integration background required) Key Responsibilities: Troubleshoot and fix an existing BERT-integrated Outsystems+AMP solution, including scheduler code debugging. Translate complex business requirements into scalable and integrative AI/GenAI solutions. Architect and guide end-to-end implementation of AI systems aligned with Ericssons target architecture (e.g., TAMP). Lead architectural reviews and support development teams to ensure solution compliance. Manage risks associated with AI models via standard risk assessment protocols. Create, maintain, and own architectural documentation and blueprints. Present technical concepts and designs to stakeholders. Collaborate with cross-functional teams including development and platform teams for successful project delivery. Additional Responsibilities: Apply advanced ML algorithms to solve business problems and drive value. Build and deploy data science solutions at scale (AWS Sagemaker, Kubernetes, Docker). Stay updated with current AI trends and contribute to applied research, innovation, and IP creation (e.g., publications, patents). Deliver insights to business leaders to influence decision-making. Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or related field. Proven track record in delivering AI/ML solutions (preferably in Finance domain). Recognized experience on data science platforms (e.g., Kaggle achievements is a plus). Strong coding background in Python and experience in cloud-native environments. Good to Have: Domain expertise in Finance. Contributions to open-source or research community (e.g., Kaggle, GitHub, papers).

Key Responsibilities: Lead the end-to-end design, architecture, and delivery of complex AI/ML solutions, including scalable data pipelines, advanced model development, training, deployment, and post-deployment support. Strategically develop and implement machine learning models across diverse domains such as natural language processing (NLP), computer vision, recommendation systems, classification, and regression. Drive innovation by integrating and fine-tuning Large Language Models (LLMs) like GPT, BERT, LLaMA, and similar state-of-the-art transformer architectures into enterprise-grade applications. Own the selection and implementation of appropriate ML frameworks, tools, and cloud technologies aligned with business goals and technical requirements. Spearhead AI/ML experimentation, Proof-of-Concepts (PoCs), benchmarking, and model optimization initiatives. Collaborate cross-functionally with data engineering, software development, and product teams to seamlessly integrate ML capabilities into production systems. Establish and enforce robust MLOps pipelines covering CI/CD for ML, model versioning, reproducibility, and monitoring to ensure reliability at scale. Stay at the forefront of AI advancements, particularly in generative AI and LLM ecosystems, and champion their adoption across business use cases. Required Qualifications: Bachelors or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field. Hands on experience in the AI/ML domain, with a proven track record of delivering production-grade ML systems. Expertise in machine learning algorithms, deep learning architectures, and advanced neural network design. Demonstrated hands-on experience with LLMs, transformer-based models, prompt engineering, and embeddings. Proficiency with ML frameworks and libraries such as TensorFlow, PyTorch, Hugging Face Transformers, LangChain, etc. Strong programming skills in Python and familiarity with cloud platforms (AWS, Azure, or GCP) for scalable ML workloads. Solid experience with MLOps tools and practices — including MLflow, Kubeflow, SageMaker, or equivalent. Excellent leadership, analytical thinking, and communication skills. Preferred Qualifications: Experience with vector databases . Exposure to real-time AI systems, edge AI, and streaming data environments. Active contributions to open-source projects, research publications, or thought leadership in AI/ML. Certification in AI/ML is big plus. Interested candidates can apply directly or share their resume at shubhra_bhugra@softprodigy.com

We are looking for Indias top 1% NLP Engineers for a unique job opportunity to work with the industry leaders Who can be a part of the community? We are looking for top-tier Natural Language Processing Engineers with experience in text analytics, LLMs, and speech processing If you have experience in this field then this is your chance to collaborate with industry leaders Whats in it for you? Pay above market standards The role is going to be contract based with project timelines from 2 12 months, or freelancing Be a part of Elite Community of professionals who can solve complex AI challenges Work location could be: Remote (Highly likely) Onsite on client location Deccan AIs Office: Hyderabad or Bangalore Responsibilities: Develop and optimize NLP models (NER, summarization, sentiment analysis) using transformer architectures (BERT, GPT, T5, LLaMA) Build scalable NLP pipelines for real-time and batch processing of large text data and optimize models for performance and deploy on cloud platforms (AWS, GCP, Azure) Implement CI/CD pipelines for automated training, deployment, and monitoring & integrate NLP models with search engines, recommendation systems, and RAG techniques Ensure ethical AI practices and mentor junior engineers Required Skills: Expert Python skills with NLP libraries (Hugging Face, SpaCy, NLTK) Experience with transformer-based models (BERT, GPT, T5) and deploying at scale (Flask, Kubernetes, cloud services) Strong knowledge of model optimization, data pipelines (Spark, Dask), and vector databases Familiar with MLOps, CI/CD (MLflow, DVC), cloud platforms, and data privacy regulations Nice to Have: Experience with multimodal AI, conversational AI (Rasa, OpenAI API), graph-based NLP, knowledge graphs, and A/B testing for model improvement Contributions to open-source NLP projects or a strong publication record What are the next steps? Register on our Soul AI website Our team will review your profile Clear all the screening rounds: Clear the assessments once you are shortlisted Profile matching and Project Allocation: Be patient while we align your skills and preferences with the available project Skip the Noise Focus on Opportunities Built for You! Location : - Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune,India

Overview: We are seeking an exceptional and technically accomplished Senior Data Scientist to join our rapidly growing team. This role is ideal for a hands-on AI expert with deep experience in Large Language Models (LLMs) , Natural Language Processing (NLP) , Cognitive AI , Conversational AI , and Agentic AI systems . You will work on designing, developing, and scaling state-of-the-art AI solutions that drive business innovation, operational intelligence, and customer experience transformation. This is a high-impact individual contributor role, focused on technical excellence and product-grade AI development. Key Responsibilities LLM & Cognitive AI Solution Development Architect and fine-tune LLM-based solutions (e.g., GPT, LLaMA, Claude, Mistral) using transfer learning, PEFT, and retrieval-augmented generation (RAG). Develop Agentic AI architectures with autonomous behavior and multi-agent collaboration capabilities. Apply prompt engineering , in-context learning , and tool former-style techniques to enable complex reasoning and task execution. Build Conversational AI systems using Transformer-based backbones and orchestration tools (LangChain, Haystack, Rasa, Semantic Kernel). Natural Language Processing (NLP) Design and implement advanced NLP pipelines for semantic search, summarization, NER, text classification, and knowledge extraction. Utilize and integrate tools such as SpaCy , BERT , RoBERTa , GloVe , Word2Vec , NLTK , and TextBlob . Conduct advanced text preprocessing, dependency parsing, sentiment analysis, tokenization, and multilingual NLP modeling. AI/ML Engineering Build scalable ML pipelines with FastAPI, gRPC, and RESTful interfaces. Containerize services using Docker and deploy to production environments via Kubernetes and cloud-native workflows. Integrate models into real-time and batch data systems, optimizing for latency, throughput, and reliability. Cloud & Infrastructure Develop and deploy solutions on AWS , Azure , or Google Cloud Platform (GCP) . Leverage services like SageMaker, Vertex AI, Azure ML Studio, and serverless orchestration tools. MLOps & CI/CD Design and maintain end-to-end MLOps pipelines using tools like MLflow, Kubeflow, or TFX for reproducibility and traceability. Automate model testing, monitoring, versioning, and rollback strategies in production. Big Data & Analytics Apply Spark, Hadoop, and Hive to process large-scale datasets efficiently. Perform complex data transformations and statistical modeling to extract actionable insights. Database & Data Engineering Interface with SQL and NoSQL systems (PostgreSQL, MongoDB, DynamoDB, etc.) for efficient data retrieval and processing. Design data schemas and optimize query performance for AI-centric applications. Cross-functional Collaboration Work closely with product managers, engineers, and domain experts to identify high-impact problems and deliver AI-driven solutions. Communicate findings and solution architectures clearly to technical and non-technical stakeholders. Technical Skills Expert in Python , PyTorch, HuggingFace Transformers, LangChain, and OpenAI/Anthropic/LLama APIs. Deep understanding of Transformer architectures , Attention Mechanisms , and LLM fine-tuning techniques . Familiarity with Agentic AI paradigms , including memory management, autonomous goal completion, and tool use. Strong experience with cloud platforms, container orchestration (Docker + Kubernetes), and deployment automation. Proficient in statistical modeling, probabilistic reasoning, and experimental design. Bonus Experience in Online Reputation Management (ORM) or product-centric platforms . Publications or open-source contributions in AI/ML/NLP.

Role Overview: We' re looking for a Lead Data Scientist to join our fast-growing, mission-driven team. This is a high-impact leadership role at the intersection of technology, strategy, and innovation where your expertise will power intelligent solutions that redefine how we think about data, products, and customer experience. If you thrive in high-performance environments and want to lead cutting-edge projects with Generative AI, LLMs, and large-scale NLP systems, this is your opportunity to make a lasting impact. Key Responsibilities: Build the Future with AI/ML Architect scalable AI systems to solve real-world, high-value business challenges cross domains. Design and deploy cutting-edge solutions with Generative AI, Transformer architectures, and custom Large Language Models (LLMs). Apply state-of-the-art ML techniques prompt engineering, transfer learning, multi-modal learning to push the boundaries of what's possible. NLP at Scale Lead the development of advanced NLP systems: semantic search, question answering, summarization, classification, and conversational AI. Work with best-in-class models and libraries: BERT, GPT, RoBERTa, Word2Vec, SpaCy, NLTK, Hugging Face Transformers, and more. Leverage language understanding to transform unstructured data into strategic insights. Full-Lifecycle Model Deployment Build robust MLOps pipelines for training, testing, deployment, and monitoring using MLflow, Kubeflow, Airflow, and CI/CD tools. Containerize and orchestrate AI models using Docker and Kubernetes across cloud environments (AWS, GCP, Azure). Design APIs and inference services using FastAPI or gRPC, optimized for performance, scalability, and uptime. Lead, Inspire, and Elevate Build and mentor a world-class data science team, nurturing talent and fostering a culture of curiosity, experimentation, and technical excellence. Drive the data science strategy, influence key decisions, and align AI initiatives with business goals. Establish best-in-class practices for model development, code quality, documentation, and performance evaluation. Data at the Core Work hands-on with structured, semi-structured, and unstructured data. Optimize high-volume data pipelines, integrate with SQL and NoSQL databases, and leverage big data ecosystems like Spark, Hive, and Hadoop. Use statistical modeling and experimental design to derive actionable intelligence from data Collaborate Across the Enterprise Work closely with engineering, product, and executive teams to define problems, explore solutions, and deliver AI products that move the needle. Translate technical concepts into strategic recommendations and insights that influence roadmaps and revenue. Champion AI literacy and advocate for ethical, explainable, and scalable data science across the organization. Education Bachelors or Master’s in Computer Science, AI, Data Science, Machine Learning, Engineering, or a related technical discipline. PhD is a plus. Experience 6+ years of experience in data science or machine learning, with 2+ years in a leadership or managerial role. Proven record of building and deploying AI solutions at scale in real-world production environments. Experience in GenAI, NLP, cloud-native architectures, and full-cycle ML development. Technical Expertise Languages & Libraries: Python, Scikit-learn, PyTorch, TensorFlow, Hugging Face, NumPy, Pandas NLP: BERT, GPT, Word2Vec, SpaCy, NLTK, TextBlob, CoreNLP, Transformer-based architectures Cloud & Deployment: AWS, Azure, GCP, Docker, Kubernetes, FastAPI, gRPC Big Data: Spark, Hive, Hadoop, Kafka Data Systems: PostgreSQL, MongoDB, Cassandra, Snowflake, BigQuery MLOps & Monitoring: MLflow, Airflow, Kubeflow, Prometheus, Grafana Nice to Have Experience in online reputation management, customer analytics, or product-led organizations. Familiarity with responsible AI, fairness, and explainability techniques (SHAP, LIME).

As a Senior / Lead Data Scientist specializing in Generative AI and NLP, you will be at the forefront of AI innovation. Your role will involve designing and deploying sophisticated models, including large language models (LLMs), to solve complex business problems. You will work closely with cross-functional teams to create scalable, data-driven solutions that bring AI-driven creativity and intelligence to life across various industries. Generative AI & NLP Development : Design, develop, and deploy advanced applications and solutions using Generative AI models (e.g., GPT, LLaMA, Mistral) and NLP algorithms to solve business challenges and unlock new opportunities for our clients. Model Customization & Fine-Tuning : Apply state-of-the-art techniques like LoRA, PEFT, and fine-tuning of large language models to adapt solutions to specific use cases, ensuring high relevance and impact. Innovative Problem Solving: Leverage advanced AI methodologies to tackle real-world business problems, providing creative and scalable AI-powered solutions that drive measurable results. • Data-Driven Insights: Conduct deep analysis of large datasets, uncovering insights and trends that guide decisionmaking, improve operational efficiencies, and fuel innovation. Cross-Functional Collaboration: Work closely with Consulting, Engineering, and other teams to integrate AI solutions into broader business strategies, ensuring the seamless deployment of AI-powered applications. • Client Engagement: Collaborate with clients to understand their unique business needs, provide tailored AI solutions, and educate them on the potential of Generative AI to drive business transformation. Role & responsibilities Generative AI & NLP Expertise: Extensive experience in developing and deploying Generative AI applications and NLP frameworks, with hands-on knowledge of LLM fine-tuning, model customization, and AI-powered automation. Hands-On Data Science Experience: 6+ years of experience in data science, with a proven ability to build and operationalize machine learning and NLP models in real-world environments. AI Innovation: Deep knowledge of the latest developments in Generative AI and NLP, with a passion for experimenting with cutting-edge research and incorporating it into practical solutions. Problem-Solving Mindset: Strong analytical skills and a solution-oriented approach to applying data science techniques to complex business problems. Communication Skills: Exceptional ability to translate technical AI concepts into business insights and recommendations for non-technical stakeholders.

We are seeking an experienced AI Lead with a minimum of 10 years of industry experience in the field of Artificial Intelligence. The ideal candidate will have a proven track record of successfully leading and delivering multiple projects in Machine Learning, Deep Learning, and Natural Language Processing (NLP). Additionally, they should possess sound knowledge in Generative AI and Large Language Models (LLMs). Responsibilities: Project Leadership: Lead end-to-end AI projects, from conception to delivery, ensuring alignment with business objectives and stakeholder requirements. Technical Expertise: Serve as a subject matter expert in AI, providing guidance and support to the team in the development and implementation of advanced machine learning and deep learning models. Research and Development: Stay abreast of the latest advancements in AI technologies and methodologies, conducting research and experiments to drive innovation and enhance project outcomes. Team Management: Manage and mentor a team of junior data scientists and machine learning engineers, providing technical guidance, coaching, and professional development opportunities. Collaboration: Collaborate closely with cross-functional teams, including product management, engineering, and business development, to identify opportunities for leveraging AI to solve business challenges and drive growth. Quality Assurance: Ensure the quality and accuracy of AI solutions through rigorous testing, validation, and performance monitoring. Strategic Planning: Contribute to the development of AI strategies and roadmaps, outlining key initiatives and milestones to support business objectives. Qualifications: Bachelors degree in computer science, Engineering, Mathematics, or related field. Advanced degree (Master's or Ph.D.) preferred. Minimum of 10 years of industry experience in artificial intelligence, with a focus on machine learning, deep learning, and NLP. Proven track record of leading and delivering multiple AI projects from conception to completion. Expertise in machine learning frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn. Expertise in MLOps tools, Databricks, and AI services offered by cloud platforms such as Azure, AWS, and GCP. Experience with Generative AI and Large Language Models (LLMs) such as GPT, BERT, or Transformer models. Excellent leadership and communication skills, with the ability to effectively manage and mentor a team of junior data scientists and ML engineers. Strong analytical and problem-solving skills, with a keen attention to detail and a commitment to delivering high-quality results. Ability to thrive in a fast-paced, dynamic environment and adapt to changing priorities and requirements. Location - Noida,Mumbai,Hyderabad,Kochi.

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications.

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications.

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications.

Role & responsibilities As a Data Scientist specializing in Generative AI and NLP , you will be at the forefront of AI innovation. Your role will involve designing and deploying sophisticated models, including large language models (LLMs), to solve complex business problems. You will work closely with cross-functional teams to create scalable, data-driven solutions that bring AI-driven creativity and intelligence to life across various industries. Generative AI & NLP Development : Design, develop, and deploy advanced applications and solutions using Generative AI models (e.g., GPT, LLaMA, Mistral) and NLP algorithms to solve business challenges and unlock new opportunities for our clients. Model Customization & Fine-Tuning : Apply state-of-the-art techniques like LoRA , PEFT , and fine-tuning of large language models to adapt solutions to specific use cases, ensuring high relevance and impact. Innovative Problem Solving : Leverage advanced AI methodologies to tackle real-world business problems, providing creative and scalable AI-powered solutions that drive measurable results. Data-Driven Insights : Conduct deep analysis of large datasets, uncovering insights and trends that guide decision-making, improve operational efficiencies, and fuel innovation. Cross-Functional Collaboration : Work closely with Consulting, Engineering, and other teams to integrate AI solutions into broader business strategies, ensuring the seamless deployment of AI-powered applications. Client Engagement : Collaborate with clients to understand their unique business needs, provide tailored AI solutions, and educate them on the potential of Generative AI to drive business transformation. What do we expect? Generative AI & NLP Expertise : Extensive experience in developing and deploying Generative AI applications and NLP frameworks , with hands-on knowledge of LLM fine-tuning , model customization , and AI-powered automation . Hands-On Data Science Experience : 6+ years of experience in data science, with a proven ability to build and operationalize machine learning and NLP models in real-world environments. AI Innovation : Deep knowledge of the latest developments in Generative AI and NLP , with a passion for experimenting with cutting-edge research and incorporating it into practical solutions. Problem-Solving Mindset : Strong analytical skills and a solution-oriented approach to applying data science techniques to complex business problems. Communication Skills : Exceptional ability to translate technical AI concepts into business insights and recommendations for non-technical stakeholders.

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications.

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications.

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications.