837 Nlp Jobs

As a Senior Data Engineer at our Bangalore office, you will play a crucial role in developing data pipeline solutions to meet business data needs. Your responsibilities will involve designing, implementing, and maintaining structured and semi-structured data models, utilizing Python and SQL for data collection, enrichment, and cleansing. Additionally, you will create data APIs in Python Flask containers, leverage AI for analytics, and build data visualizations and dashboards using Tableau. Your expertise in infrastructure as code (Terraform) and executing automated deployment processes will be vital for optimizing solutions for costs and performance. You will collaborate with business analysts to gather stakeholder requirements and translate them into detailed technical specifications. Furthermore, you will be expected to stay updated on the latest technical advancements, particularly in the field of GenAI, and recommend changes based on the evolving landscape of Data Engineering and AI. Your ability to embrace change, share knowledge with team members, and continuously learn will be essential for success in this role. To qualify for this position, you should have at least 5 years of experience in data engineering, with a focus on Python programming, data pipeline development, and API design. Proficiency in SQL, hands-on experience with Docker, and familiarity with various relational and NoSQL databases are required. Strong knowledge of data warehousing concepts, ETL processes, and data modeling techniques is crucial, along with excellent problem-solving skills and attention to detail. Experience with cloud-based data storage and processing platforms like AWS, GCP, or Azure is preferred. Bonus skills such as being a GenAI prompt engineer, proficiency in Machine Learning technologies like TensorFlow or PyTorch, knowledge of big data technologies, and experience with data visualization tools like Tableau, Power BI, or Looker will be advantageous. Familiarity with Pandas, Spacy, NLP libraries, agile development methodologies, and optimizing data pipelines for costs and performance are also desirable. Effective communication and collaboration skills in English are essential for interacting with technical and non-technical stakeholders. You should be able to translate complex ideas into simple examples to ensure clear understanding among team members. A bachelor's degree in computer science, IT, engineering, or a related field is required, along with relevant certifications in BI, AI, data engineering, or data visualization tools. The role will be based at The Leela Office on Airport Road, Kodihalli, Bangalore, with a hybrid work schedule allowing you to work from the office on Tuesdays, Wednesdays, Thursdays, and from home on Mondays and Fridays. If you are passionate about turning complex data into valuable insights and have experience in mentoring junior members and collaborating with peers, we encourage you to apply for this exciting opportunity.,

The Internal Audit US Personal Banking team is responsible for providing independent assurance over the key risks and processes associated with Citi's US Personal Banking (USPB) line of business and the associated servicing and operations. USPB serves Citi's home market with the largest consumer wallet in the world and offers consumer branded cards, retail services, and retail banking (including mortgages). The IA USPB Team covers the end-to-end consumer product lifecycle from the design of new products to the end-to-end customer experience. The IA USPB Team consists of audit and analytics professionals located in the US: Florida, New York, Delaware, Texas, North Carolina; Mississauga, Canada, and Mumbai, India. The Data Analytics Lead Analyst VP will perform complex and critical audits and assessments of Citi's risk and control environments in coordination with the Audit team leveraging analytical tools, data science, and innovations. The role will participate in audits, issues and regulatory validation, business monitoring, and governance reporting which meet the requirements of the Boards of Citigroup and Citibank, their affiliates, and of Citi's respective regulators, globally. In this role, you're expected to: - Develop and maintain Computer Assisted Audit Tools and Techniques (CAATTs) using SQL-based analytical tools (e.g. Python, SAS, SSMS, etc.). - Perform independent testing of business data extractions and segmentations for completeness, accuracy, and applicability to internal audit testing and regulatory requirements across multiple platforms. - Support Risk-Based Audits and Issue Validation through independent testing of data sets across multiple platforms, including Teradata, Oracle, SQL Server, and other databases for accuracy and applicability to internal audit testing and regulatory requirements. - Develop and support analytical solutions for continuous auditing across a wide array of Citi's vast data landscape. - Leverage data science (statistics, NLP, ML, AI) to conduct broad and deep testing to identify data quality concerns or potential weaknesses in data governance. - Test controls through the acquisition of data and information related to business processes, procedures, and database environments. - Serve as the lead analyst for all types of reviews and lead time-based project teams as required. - Possess strong analytical and interpersonal skills, make sound decisions, exhibit initiative and intuitive thinking. - Apply knowledge of key regulations to influence analytical testing strategies. - Conduct other MIS activities as required, including scheduled and ad-hoc management information, project management, and governance reporting to committees and regulators. - Review recent developments in the industry and adopt new age technologies and auditing concepts into day-to-day operations. - Develop effective line management relationships to ensure a strong understanding of the business. - Demonstrate strong judgment, political astuteness, and sensitivity to cultural diversity. As a successful candidate, you'd ideally have the following skills and exposure: - BS/BA degree or equivalent combination of education/experience. Degree in Data Science, Management Information Systems (MIS), Mathematics, Computer Science, or Information Technology (IT) preferred. - Significant and demonstrable experience in writing SQL queries (T-SQL, P/L SQL, SAS) with a minimum of 5+ years of experience. - Senior-level experience in a related role with experience in providing scheduled and ad-hoc analytics or reporting, with proven abilities in taking responsibility for executing concurrently on a portfolio of high-quality deliverables to stakeholders according to strict timetables. - Experienced understanding of management information systems, data analytics tools, and related best practices and control initiatives across the financial services industry. - Effective negotiation skills, a proactive and "no surprises" approach in communicating issues and strength in sustaining independent views. This individual must be an articulate and effective communicator, both orally and in writing, with an energetic, charismatic, and approachable style. - Strong interpersonal skills for interfacing with all levels of management. Qualifications: - 8+ years of relevant experience. - Effective comprehension of the business side of the audit function and subject matter expertise regarding technology application. - Effective verbal, written, and negotiation skills. - Effective project management skills. - Effective influencing and relationship management skills. - Demonstrated ability to remain unbiased in a diverse working environment. Education: - Bachelor's/University degree, Master's degree preferred.,

As a Backend + ML Engineer at our company, you will be responsible for building scalable APIs, managing secure patient data flow, and supporting AI model integration. Your role will involve collaborating with AI engineers, front-end developers, and field researchers to operationalize models for real-time use, particularly on edge devices. Your key responsibilities will include designing and developing robust backend systems to handle real-time patient data and ML outputs, integrating machine learning models with APIs and the main O-Health app, optimizing model serving pipelines, managing data pipelines for de-identified OPD datasets, implementing data encryption and anonymization, setting up backend support for multilingual voice and text processing, and supporting versioning and A/B testing of health algorithms. To excel in this role, you should have expertise in Backend Engineering, including strong proficiency in Python with frameworks like FastAPI, Flask, or Django, experience with RESTful APIs, WebSockets, and asynchronous data flows, familiarity with databases such as PostgreSQL, MongoDB, or time-series databases, and working knowledge of Docker, Git, and CI/CD pipelines. Additionally, you should possess skills in Machine Learning Ops, such as hands-on experience with PyTorch, Scikit-learn, or TensorFlow, model optimization, quantization, and edge deployment formats, familiarity with language models and multilingual NLP, and knowledge of data preprocessing and feature engineering for clinical/NLP tasks. Preferred skills for this role include an understanding of HIPAA/GDPR compliance and experience working on healthcare, social impact, or AI-for-good projects. In this position, you will have a significant impact on connecting machine learning research with field-ready healthcare tools, scaling diagnosis support systems to underserved patients, and enabling multilingual health consultations in real-time. Join us in making a difference in the healthcare industry and contributing to the improvement of patient care.,

As an MLOps Engineer at Neolytix, you will play a crucial role in developing and implementing intelligent claims analysis, prioritization, and denial resolution models for our AI-driven healthcare claims management application. This involves working closely with healthcare experts and engineers to orchestrate Large Language Models (LLMs) and Small Language Models (SLMs) to optimize revenue cycle processes, minimize Accounts Receivable (AR) dollars, and enhance claim resolution efficiency. Your responsibilities will include designing and implementing AI/ML models for claims prioritization, denial resolution, and revenue cycle optimization. You will be tasked with developing and fine-tuning LLMs and SLMs to increase automation in claims management workflows, preprocessing and structuring claims data for effective model training, as well as deploying, managing, and scaling AI models using Azure-based cloud services. Monitoring model performance, retraining, refining algorithms, ensuring compliance with HIPAA and PHI security standards, and documenting technical solutions will also be part of your role. To qualify for this position, you should hold a Bachelor's or Master's degree in computer science, AI/ML, Engineering, or a related field, along with at least 3 years of experience in AI/ML engineering, preferably in healthcare claims automation. Proficiency in Python, strong knowledge of LLMs, NLP, and text analytics for claims processing, experience with Azure ML services, and familiarity with healthcare claims data formats (EDI 837/835) and revenue cycle processes are essential. Additionally, possessing strong analytical, problem-solving, and teamwork skills is crucial for success in this role. Preferred skills for this position include experience with AI-driven denial resolution and automated claims adjudication, understanding of EHR/EMR systems and insurance reimbursement processes, as well as familiarity with DevOps, CI/CD pipelines, and MLOps for scalable AI deployments. Joining Neolytix offers you a competitive salary and benefits package, an opportunity to contribute to innovative AI solutions in the healthcare industry, a dynamic and collaborative work environment, and opportunities for continuous learning and professional growth.,

As a Data Scientist, you will be responsible for analyzing complex data using statistical and machine learning models to derive actionable insights. You will use Python for data analysis, visualization, and working with various technologies such as APIs, Linux OS, databases, big data technologies, and cloud services. Additionally, you will develop innovative solutions for natural language processing and generative modeling tasks, collaborating with cross-functional teams to understand business requirements and translate them into data science solutions. You will work in an Agile framework, participating in sprint planning, daily stand-ups, and retrospectives. Furthermore, you will research, develop, and analyze computer vision algorithms in areas related to object detection, tracking, product identification and verification, and scene understanding, ensuring model robustness, generalization, accuracy, testability, and efficiency. You will also be responsible for writing product or system development code, designing and maintaining data pipelines and workflows within Azure Databricks for optimal performance and scalability, and communicating findings and insights effectively to stakeholders through reports and visualizations. To qualify for this role, you should have a Master's degree in Data Science, Statistics, Computer Science, or a related field. You should have over 5 years of proven experience in developing machine learning models, particularly for time series data within a financial context. Advanced programming skills in Python or R, with extensive experience in libraries such as Pandas, NumPy, and Scikit-learn are required. Additionally, you should have comprehensive knowledge of AI and LLM technologies, with a track record of developing applications and models. Proficiency in data visualization tools like Tableau, Power BI, or similar platforms is essential. Exceptional analytical and problem-solving abilities, coupled with meticulous attention to detail, are necessary for this role. Superior communication skills are also required to enable the clear and concise presentation of complex findings. Extensive experience in Azure Databricks for data processing, model training, and deployment is preferred, along with proficiency in Azure Data Lake and Azure SQL Database for data storage and management. Experience with Azure Machine Learning for model deployment and monitoring, as well as an in-depth understanding of Azure services and tools for data integration and orchestration, will be beneficial for this position.,

You should have 3-5 years of experience in writing and debugging intermediate to advance level Python code with a good understanding of concepts related to OOPS, APIs, and SQL Databases. Additionally, you should possess a strong grasp of fundamental basics of Generative AI, large language models (LLMs) pipelines like RAG, Open AI GPT models, and experience in NLP and Langchain. It is essential to be familiar with the AWS environment and services like S3, lambda, Step Functions, CloudWatch, etc. You should also have excellent analytical and problem-solving skills and be capable of working independently as well as collaboratively in a team-oriented environment. An analytical mind and business acumen are also important qualities for this role. You should demonstrate the ability to engage with client stakeholders at multiple levels and provide consultative solutions across different domains. It would be beneficial to have familiarity with Python libraries and frameworks such as Pandas, Scikit-learn, PyTorch, TensorFlow, BERT, GPT, or similar models, along with experience in Deep Learning and machine learning.,

As a Senior Product Manager specializing in Generative AI at IDFC First Bank, you will be instrumental in shaping and expanding AI-driven products that redefine the banking experience across digital and assisted channels. Your responsibilities will encompass developing and executing product strategies, ensuring compliance with regulatory standards, and fostering user-centric AI interactions. In this role, you will be tasked with defining the product vision and roadmap for Generative AI projects within the bank. Your focus will involve identifying impactful AI applications in customer engagement, operational efficiency, compliance, and risk management. Staying abreast of industry trends and regulatory guidelines will be essential as you strive to develop innovative and compliant AI solutions. Your involvement will extend to overseeing the entire lifecycle of AI product development, from conceptualization to launch, in collaboration with cross-functional teams. You will be responsible for establishing key performance indicators (KPIs) and driving product enhancements based on data-driven insights. Collaborating with AI/ML engineers, you will ensure the creation of scalable and secure models that prioritize explainability and fairness. Furthermore, you will be pivotal in crafting user-centric AI experiences through the design of conversational interfaces, intelligent assistants, and automated workflows that elevate digital banking interactions. Collaborating with UX/UI designers, you will ensure that AI-generated content aligns with brand voice and customer expectations, utilizing advanced AI technologies like NLP and LLMs to personalize user engagements. Your role as a Senior Product Manager will also involve serving as a liaison between AI research, engineering, business units, and external stakeholders. By fostering collaboration with various teams such as Digital Banking, Growth, Marketing, and Customer Support, you will facilitate the seamless integration of AI solutions. Additionally, you will drive internal awareness and adoption of AI capabilities by championing responsible AI practices within the organization. To excel in this position, you are required to hold a Bachelor's degree in any relevant field, with a preference for post-graduation in any stream. A minimum of 5 years of relevant experience is expected to effectively fulfill the duties and expectations associated with this role.,

We are seeking a highly skilled Senior Salesforce AI Developer with over 6 years of experience in Salesforce CRM development and 2 years of expertise in developing AI solutions around Sales and Service Cloud using Salesforce Einstein. The ideal candidate will be proficient in leveraging Salesforce Einstein AI capabilities and integrating custom AI models to optimize sales processes, customer engagement, and business operations. As a Salesforce AI Developer, your role involves collaborating closely with business stakeholders and technical teams to implement intelligent solutions that enhance decision-making and drive business growth. You will lead AI/ML initiatives across the organization, focusing on predictive analytics, automation, and personalized customer interactions within Salesforce. Your responsibilities will include leading the design, development, and implementation of AI-driven solutions using Salesforce Einstein features around Sales & Service Cloud. You will collaborate with architects and AI engineers to design AI-driven solutions for predictive analytics, customer insights, and automation. Additionally, you will lead the integration of open AI models into Salesforce, utilizing languages such as Apex, Python, and Java to enhance Salesforce functionalities and user experience. Furthermore, you will collaborate with product managers, data scientists, and developers to ensure the successful implementation of AI/ML solutions aligned with business goals. You will implement automated workflows and intelligent data-driven decision systems within Sales Cloud, Service Cloud, and Marketing Cloud. Using Salesforce Einstein, you will apply natural language processing (NLP), image recognition, and predictive analytics to enhance customer service and sales strategies. Your role will involve analyzing customer data to identify actionable insights and recommend tailored product offerings. You will monitor and fine-tune AI models, ensuring accuracy and performance in live environments, and continuously improve them based on feedback and evolving business needs. Additionally, you will ensure data security and compliance standards are adhered to when handling sensitive customer information in AI/ML models. Key Qualifications: - 6+ years of overall experience in Salesforce development with at least 2+ years of relevant hands-on experience in Salesforce AI Solutions development. - Expertise in Salesforce Einstein AI features, including Sales Cloud Einstein, Service Cloud Einstein, Einstein Copilot, Prompt Builder, Einstein Studio, Einstein Chatbot, etc. - Experience in customizing applications using Apex, LWC, and Lightning Flows. - Proficiency in data modeling, data integration using REST APIs, and handling large datasets within Salesforce. - Strong understanding of machine learning algorithms, Salesforce architecture, NLP, image recognition, sentiment analysis, and other AI applications. - Ability to translate complex business needs into actionable AI/ML solutions and ensure data security and compliance standards are met. Preferred Skills (Good to have): - Salesforce certifications in areas such as Einstein Analytics and Discovery Consultant, Salesforce Platform Developer II, or Salesforce Certified AI Associate. - Experience in Salesforce Data Cloud, MLOps practices, automating model training and deployment, and working in industries such as banking, finance, or e-commerce with a focus on AI-driven customer insights. - Hands-on experience in deploying and scaling AI models in cloud environments like AWS, Azure, or Salesforce Cloud. - Proficiency in Einstein Analytics or Tableau CRM for building AI-driven dashboards and reports, Python, TensorFlow, PyTorch for developing ML models, and NLP, LLMs, and LLM model development.,

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers to levels they cannot achieve anywhere else. This is a world of more possibilities, more innovation, more openness in a cloud-enabled world. The Business & Industry Copilots group is a rapidly growing organization that is responsible for the Microsoft Dynamics 365 suite of products, Power Apps, Power Automate, Dataverse, AI Builder, Microsoft Industry Solution and more. Microsoft is considered one of the leaders in Software as a Service in the world of business applications and this organization is at the heart of how business applications are designed and delivered. This is an exciting time to join our group Customer Experience and work on something highly strategic to Microsoft. The goal of the Customer Experience Engineering is to build the next generation of our applications running on Dynamics 365, AI, Copilot, and several other Microsoft cloud services to drive AI transformation across Marketing, Sales, Services and Support organizations within Microsoft. We innovate quickly and collaborate closely with our partners and customers in an agile, high-energy environment. Leveraging the scalability and value from Azure & Power Platform, we ensure our solutions are robust and efficient. Our organizations implementation acts as reference architecture for large companies and helps drive product capabilities. Do you want to lead the design and development of mission-critical platforms at Microsoft The Marketing Engineering team is building the next generation of marketing and store experiences, leveraging AI to transform content generation, personalization, and delivery. We are looking for a Principal Engineering Manager who will grow talent, foster team culture, and drive software development & service excellence in our organization. As a member of our growing org, you will play an integral part in making that happen, navigating us into the future and impacting the lives of people all around the world. This role offers the chance to work on innovative solutions, influence the technical direction of the team, and mentor other engineers to deliver scalable, secure, and reliable platforms. Join us to make a meaningful impact at Microsoft while working on cutting-edge technology. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. Responsibilities - Lead, mentor, and manage a team of software engineers to design, develop, and implement robust and scalable software applications that utilize generative AI techniques. - Drive the integration of AI and machine learning capabilities to enhance platform functionality. - Provide technical leadership, ensuring adherence to best practices, coding standards, and quality benchmarks. - Identify opportunities to improve and optimize existing systems using generative AI. - Define and drive the technical roadmap, aligning with business goals and organizational priorities. - Mentor and coach engineers at all levels to grow their technical skills and foster a high-performing team. - Partner with cross-functional teams to define requirements, solve complex technical challenges, and deliver solutions on time. - Collaborate with stakeholders to establish metrics for success and continuously improve system performance. - Stay informed on industry trends and emerging technologies to bring innovative solutions to the team. - Embody our Culture and Values Qualifications Basic Qualifications: - Knowledge of machine learning algorithms and concepts (e.g., supervised learning, unsupervised learning, deep learning) as applied to generative AI. - 3+ years of people management experience in software engineering domain. - 3+ years of professional experience in technical role developing, training, evaluating and deploying ML solutions at scale for real-world problems. - 10+ years of professional software development experience, with a proven track record of designing and delivering large-scale, distributed systems. - Proficiency in programming languages such as Python, C#, or Java. - Deep knowledge of cloud platforms (Azure, AWS, GCP) and modern software development practices (e.g., microservices, CI/CD, DevOps). - Demonstrated ability to lead and mentor engineering teams, fostering a collaborative and high-performing culture. - Excellent problem-solving skills and ability to handle ambiguity in technical requirements. - Excellent cross-group and interpersonal skills, with the ability to articulate solutions. - Bachelor's or master's degree with relevant coursework in Computer Science, Data Science, Statistics, Machine Learning, Data Mining, or equivalent work experience. Preferred Qualifications - Experience in designing and implementing MLOps strategies for model deployment, monitoring, and governance. - Familiarity in deep learning architectures (Transformers, CNNs, RNNs) and knowledge of Natural Language Processing (NLP). - Experience with AI/ML technologies, frameworks (e.g., TensorFlow, PyTorch), and their application to real-world problems. - Knowledge of containers (Docker) and orchestration tools like Kubernetes. - Strong analytical mind and a confident decision maker. - Excellent computer science fundamentals in algorithmic design, data structures, and analyzing complexity. - Ability to balance competing demands and adapt to changing priorities. - Experience mentoring junior engineers and data scientists, providing technical guidance and code reviews. - Designing and implementing applications using Low Code/No Code platforms would be a plus - nice to have. Be part of an innovative team where you can lead, mentor, and make a lasting impact. Join us in shaping the future of marketing experiences at Microsoft!,

You are an experienced Software Engineer specializing in Machine Learning with at least 2+ years of relevant experience. In this role, you will be responsible for designing, developing, and optimizing machine learning solutions and data systems. Your proven track record in implementing ML models, building scalable systems, and collaborating with cross-functional teams will be essential in solving complex challenges using data-driven approaches. As a Software Engineer - Machine Learning, your primary responsibilities will include designing and implementing end-to-end machine learning solutions, building and optimizing scalable data pipelines, collaborating with data scientists and product teams, monitoring and optimizing deployed models, staying updated with the latest trends in machine learning, debugging complex issues related to ML systems, and documenting processes for knowledge sharing and clarity. To qualify for this role, you should have a Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or related fields. Your technical skills should include a strong proficiency in Python and machine learning libraries such as TensorFlow, PyTorch, or scikit-learn, experience with data processing tools like Pandas, NumPy, and Spark, proficiency in SQL and database systems, hands-on experience with cloud platforms (AWS, GCP, Azure), familiarity with CI/CD pipelines and Git, and experience with model deployment frameworks like Flask, FastAPI, or Docker. Additionally, you should possess strong analytical skills, leadership abilities to guide junior team members, and a proactive approach to learning and collaboration. Preferred qualifications include experience with MLOps tools like MLflow, Kubeflow, or SageMaker, knowledge of big data technologies such as Hadoop, Spark, or Kafka, familiarity with advanced ML techniques like NLP, computer vision, or reinforcement learning, and experience in designing and managing streaming data workflows. Key Performance Indicators for this role include successfully delivering optimized and scalable ML solutions within deadlines, maintaining high model performance in production environments, and ensuring seamless integration of ML models with business applications. Join us in this exciting opportunity to drive innovation and make a significant impact in the field of Machine Learning.,

As an Artificial Intelligence (AI) Developer in our team, you will have the exciting opportunity to blend cutting-edge AI techniques with scalable web application architectures to design and build intelligent systems. Working closely with cross-functional teams, including data scientists, software engineers, and product managers, you will develop end-to-end solutions that enhance business operations and deliver exceptional user experiences. Your responsibilities will include full-stack development, where you will architect, design, and develop both frontend and backend components of AI-driven web applications. You will build responsive and user-friendly interfaces using modern JavaScript frameworks such as React, Angular, or Vue.js, along with robust backend services using technologies like Node.js, Django, or .NET. Furthermore, you will be responsible for developing and integrating secure RESTful and GraphQL APIs to connect AI models with cloud services and third-party systems. Leveraging cloud platforms like AWS, Azure, or GCP, you will deploy and manage scalable applications and services effectively. Collaborating with data scientists, you will integrate machine learning models, natural language processing, computer vision, and other AI techniques into web applications. You will optimize AI workflows by ensuring seamless data exchange and efficient model inference across the technology stack. In terms of DevOps and deployment, you will implement CI/CD pipelines, containerization using tools like Docker and Kubernetes, and automated testing to ensure efficient and reliable releases. Monitoring application performance and troubleshooting issues in real-time will be essential to maintain high-quality production environments. Your role will also involve close collaboration with cross-functional teams to gather requirements, deliver project updates, and ensure solutions align with business needs. Documenting development processes, API specifications, and integration practices will be crucial to support future enhancements and maintenance. To excel in this role, you must have a degree in Computer Science, Data Science, Engineering, or a related field. Additionally, you should possess a minimum of 5 years of experience with full-stack development and at least 2 years of experience with AI development. Hands-on experience in programming languages like Python, JavaScript (or TypeScript), and/or C#, along with expertise in front-end and backend frameworks, cloud platforms, containerization, and data management, will be essential. If you are detail-oriented, possess strong problem-solving, analytical, and communication skills, and have a passion for continuous learning and innovation, this role is perfect for you. Join us at the intersection of AI and full-stack web development to create robust, intelligent systems that scale in the cloud while delivering intuitive and responsive user experiences.,

The Data Chapter at our organization serves as a strategic partner, utilizing state-of-the-art AI and ML technologies to drive data-led initiatives that enhance risk management, boost revenue generation, and enhance operational efficiency. We are committed to maintaining data integrity and governance while delivering high-quality analysis, insights, and automation to facilitate data-driven decision-making throughout DBS. Through our collaborative approach, we provide timely and actionable solutions that align with the organization's strategic goals. As a member of our team, your responsibilities will include designing, developing, and implementing advanced AI/ML models to uncover actionable insights, automate processes, and facilitate strategic decision-making across various business units. You will work closely with a team to create the end-to-end lifecycle of AI initiatives, starting from problem identification and data engineering to model development, validation, deployment, and monitoring. Collaboration with cross-functional teams, including product, engineering, and business stakeholders, will be essential to identify impactful AI opportunities and deliver innovative solutions. In this role, you will be expected to explore cutting-edge techniques such as deep learning, generative AI (e.g., LLMs, GANs), and reinforcement learning to address complex challenges and drive value creation. Conducting risk modeling, scenario analysis, and evaluating business impacts will be crucial to ensure that AI solutions are robust, ethical, and aligned with organizational objectives. Additionally, you will contribute to the development of best practices, toolkits, and scalable AI pipelines while staying abreast of emerging trends and research in AI and machine learning to assess their potential application within the organization. To be successful in this role, you should possess 6-8 years of hands-on experience in data science, machine learning, or AI, with a proven track record of deploying models in production environments. Proficiency in Python and common ML/AI libraries such as scikit-learn, TensorFlow, PyTorch, Hugging Face, LangChain, LangGraph, etc., is essential. A solid understanding of data architecture, model deployment (MLOps), and experience with cloud platforms like AWS, Azure, and GCP is required. Demonstrated expertise in generative AI technologies, statistical analysis, feature engineering, and advanced machine learning techniques is highly valued. We are seeking individuals with excellent problem-solving skills, analytical thinking, and business acumen. Strong written and verbal communication abilities are essential, as you will be expected to influence and collaborate with senior stakeholders. A Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field is highly preferred. If you are passionate about AI and machine learning and are looking for a challenging yet rewarding opportunity, we encourage you to apply now. We offer a competitive salary and benefits package, along with the professional advantages of a dynamic environment that fosters your growth and recognizes your accomplishments.,

You are seeking a Director- AIML position based in Andheri, Mumbai. With 12-16 years of experience, you are a hands-on AI engineer or data scientist who excels in driving impactful AI initiatives in production settings. Your passion lies in solving complex problems, developing scalable systems, and staying updated on the latest AI advancements. Your must-have skills include proven expertise in framing and resolving complex problems using AI models, particularly in computer vision or NLP, and GenAI deployment at scale. You possess hands-on experience with LLMs, specializing in fine-tuning, retrieval-augmented generation (RAG), and model selection. Having worked on at least two production use cases in this domain, you are adept at selecting models and approaches based on specific use cases and their solutions. You comprehend that model building is just a part of production AI work and are familiar with maintaining high-performance AI systems. With over 6 years of experience in building and maintaining large-scale production AI systems, including optimization and tuning for deployment at scale, you ensure reliability and efficiency. Your insatiable curiosity and enthusiasm for cutting-edge research drive you to apply innovative approaches to real-world problems. Proficiency in Python and its standard libraries, along with strong skills in monitoring and debugging production AI systems for sustained reliability and efficiency, are part of your expertise. You also excel in mentoring and guiding junior engineers, sharing your knowledge to enhance the team's skills. Your ability to engage with various stakeholders, including senior leadership and demanding industry customers, is commendable. Additionally, you have some familiarity with AI Ops and related tooling to streamline AI processes and cloud experience with AWS/GCP/Azure. Desirable skills include experience with other languages, familiarity with Docker and Kubernetes for efficient service deployment, and exposure to various platforms, frameworks, and tools in the AI and machine learning ecosystem. Furthermore, any publications and patents in the AI domain would be advantageous.,

The metrics insights and analytics team at LTIMindtree is looking for a talented individual to join them in building dashboards and analytical solutions using AI ML based on business requirements. Your role will involve providing predictive and prescriptive analytics based on various delivery execution parameters, as well as offering actionable insights to users. You will be responsible for automating processes using new-age machine learning algorithms. Key Responsibilities: - Conceptualize, maintain, and automate dashboards as per the requirements. - Automation of existing processes to enhance productivity and time to market. - Enable decision making and action plan identification through metrics analytics. - Conduct training sessions and presentations. - Collaborate with various stakeholders to understand business problems and provide solutions. - Introduce new age solutions and techniques into the way of working. Skills Required: - Minimum 2-5 years of experience with power BI dashboards/TABLEAU and python. - Minimum 2-5 years of experience in AI/ML development. - Strong analytical skills with a focus on solutioning and problem-solving, along with an inclination towards numbers. - Experience working with Text analytics and NLP. - Proficiency in data cleansing, pre-processing data, and exploratory data analysis. - Knowledge of Azure ADF, Excel MACRO, and RPA will be advantageous. - Ability to perform feature engineering, normalize data, and build correlation maps. - Proficient in SQL. - Hands-on experience in model operationalization and pipeline management. - Capability to work effectively with global teams. - Good presentation and training skills. About LTIMindtree: LTIMindtree is a global technology consulting and digital solutions company that helps enterprises across industries to reimagine business models, accelerate innovation, and maximize growth through digital technologies. With a team of nearly 90,000 professionals in over 30 countries, LTIMindtree combines domain and technology expertise to drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Visit www.ltimindtree.com for more information.,

You should have at least 2-7 years of experience in software engineering and ML development. Proficiency in Python and ML libraries like Scikit-learn, TensorFlow, or PyTorch is essential. Your responsibilities will include building and evaluating models, data preprocessing, and feature engineering. It is important to have a good understanding of REST APIs, Docker, Git, and CI/CD tools. A strong foundation in software engineering principles such as data structures, algorithms, and design patterns is required. Hands-on experience with MLOps platforms like MLflow, TFX, Airflow, and Kubeflow is preferred. Exposure to NLP, large language models (LLMs), or computer vision projects will be beneficial for this role. Experience with cloud platforms such as AWS, GCP, and Azure, as well as managed ML services, is a plus. Any contributions to open-source ML libraries or participation in ML competitions like Kaggle or DrivenData will be considered an advantage.,

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

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

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

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

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

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

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

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

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

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