632 Gen Ai Jobs - Page 6

We are seeking a highly skilled and experienced Senior Machine Learning Developer to join our dynamic team. The ideal candidate will have a strong background in machine learning (ML), deep learning (DL), and large language models (LLMs). They should be proficient in Python and possess expertise in conventional ML algorithms, DL techniques, LLM and prompt engineering Responsibilities: 1. Machine Learning Development: Design, develop, and implement ML models and algorithms to solve complex problems. Work on various ML projects involving data preprocessing, feature engineering, model selection, and evaluation. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. 2. Deep Learning: Develop and deploy DL models using frameworks like TensorFlow, PyTorch, or Keras. Optimize DL models for performance and scalability. Stay updated with the latest advancements in DL and apply them to improve existing models. 3. Large Language Models: Develop and fine-tune large language models for various NLP tasks. Implement prompt engineering techniques to enhance model performance and accuracy. Experiment with state-of-the-art LLM architectures and methodologies. 4. Software Development: Write clean, maintainable, and efficient code in Python. Conduct code reviews and ensure adherence to best practices and coding standards. Implement version control using Git and collaborate with the development team through GitHub or similar platforms. 5. Data Handling: Work with large datasets and perform data preprocessing, cleaning, and augmentation. Implement data pipelines and ensure data integrity and quality throughout the ML lifecycle. 6. Research and Innovation: Stay abreast of the latest research and developments in the field of ML, DL, and LLMs. Propose and explore innovative solutions to improve model performance and address new challenges. 7. Mentorship: Mentor and guide junior ML engineers and team members. Share knowledge and best practices within the team to foster a collaborative and learning environment. Desire Skills 1. RAG-Based Domain-Specific Q&A System Should have built a chatbot that answers questions from custom documents (e.g., legal contracts, company policies) using LLM + Vector DB (RAG). 2. Agentic AI Workflow Assistant (Multi-Step Planner) Should have created an LLM agent that performs tasks like Book my flight + hotel + calendar block via API tools using LangGraph or AutoGen. 3. Multimodal RAG for Image + Text Search Worked on system that allows users to ask questions like Find me the slide where person X talks about success in life in a YouTube video or PDF deck. 4. Document Parsing Using OCR + Transformers Extract structured data from messy PDFs using Tesseract + LayoutLM or Donut

Python programming expertise: data structures, OOP, recursions, generators, iterators, decorators, familiarity with regular expressions. Working knowledge and experience with deep learning framework Pytorch or Tensorflow. Embedding representations. Strong experience in Python and production system development. Familiarity with SQL database interactions. Familiarity with Elasticsearch document indexing, querying. Familiarity with Docker, Dockerfile. Familiarity with REST API, JSON structure. Python packages like FastAPI. Familiarity with git operations. Familiarity with shell scripting. Familiarity with PyCharm for development, debugging, profiling. Experience with Kubernetes. Experience with LLms & Gen AI. Desired Skills NLP toolkits like NLTK, spaCy, Gensim, scikit-learn. Familiarity with basic natural language concepts, handling. Tokenization, lemmatization, stemming, edit distances, named entity recognition, syntactic parsing, etc. Good knowledge and experience with deep learning framework Pytorch or Tensorflow. More complex operations with Elasticsearch. Creating indices, indexable fields, etc. Good experience with Kubernetes

Mandatory tools, Python AI/ML Generative AI Authentic AI Only Developers

Job Title - GN - SONG - MT Transform Marketing Organization- Manager Management Level :7 Manager Location:Delhi, Gurgaon, Mumbai, Bangalore Must have skills:Marketing Strategy, Marketing Transformation Good to have skills:Marketing Job Summary : As part of the team, you will provide transformation services driven by key offerings like Transformative Marketing, Martech, Brand & Creative and Scaled Marketing Services enabled by Generative AI and next gen capabilities. These services help our clients become living businesses by optimizing their marketing, sales and service strategy and organization model, thereby enabling a powerful & efficient marketing-led growth engine, driving cost reduction, revenue enhancement, customer satisfaction and impacting front end business metrics in a positive manner. You will work closely with our clients as consulting professionals who design, build and implement initiatives that can help enhance business performance. As part of the team, you will drive the following Roles & Responsibilities: Deep dive across projects helping CMO organization to drive superior performance through relevance :You will leverage the comprehensive suite of analytics, consulting and strategy solutions that Accenture offers to enable large scale transformation vision and strategy and delivering capabilities that enable improved marketing performance, cost effectiveness and create relevant consumer experiences on a massive scale Use extensive experience of hands-on roles in customer value management, customer lifecycle management :Work across customer segmentation marketing, customer behavior analysis and channel management Design new campaign strategies and strategizing marketing plans across all channels and devices: Lead marketing assessment, KPI and definition, solution and vendor assessment for different marketing technologies including Pega Develop business case for marketing use cases and solutions: Gather business requirements, designing process & solution for implementation of marketing solutions Manage full spectrum of Marketing program execution :Right from strategy definition to technical delivery, work with real time marketing concepts like next best offer/ action, event-based marketing Design interventions to drive customer acquisition / customer engagement: Monitoring trends, analyzing data, to optimize marketing campaigns along with exposure to analytical and data visualization tools Identify marketing process improvement opportunities :Developing business case for boosting marketing capabilities, campaign strategies, and innovative solutions to drive growth Bring your best skills forward to excel at the role: Bring your creativity and innovation to the forefront to be able to work in a fast-paced environment :Ability to abstract detail into larger patterns, familiarity with user-centered analysis and evaluation techniques Deep dive across projects helping CMO organization to drive superior performance through relevance: You will leverage the comprehensive suite of analytics, consulting and strategy solutions that Accenture offers to enable large scale transformation vision and strategy and delivering capabilities that enable improved marketing performance, cost effectiveness and create relevant consumer experiences on a massive scale Use extensive experience of hands-on roles in customer value management, customer lifecycle management :Work across customer segmentation marketing, customer behavior analysis and channel management Design new campaign strategies and strategizing marketing plans across all channels and devices: Lead marketing assessment, KPI and definition, solution and vendor assessment for different marketing technologies including Pega Develop business case for marketing use cases and solutions: Gather business requirements, designing process & solution for implementation of marketing solutions Manage full spectrum of Marketing program execution :Right from strategy definition to technical delivery, work with real time marketing concepts like next best offer/ action, event-based marketing Design interventions to drive customer acquisition / customer engagement: Monitoring trends, analyzing data, to optimize marketing campaigns along with exposure to analytical and data visualization tools Identify marketing process improvement opportunities: Developing business case for boosting marketing capabilities, campaign strategies, and innovative solutions to drive growth Bring your best skills forward to excel at the role: Bring your creativity and innovation to the forefront to be able to work in a fast-paced environment: Ability to abstract detail into larger patterns, familiarity with user-centered analysis and evaluation techniques Use strong analytical skills with the ability to drive results-oriented decisions :Data-driven mindset within proven utilization of information to drive decisions, calibrate and results. Client handling skills to develop, manage and deepen relationships with key stakeholders Team building skills to collaborate, work and motivate teams with diverse skills and experience to achieve goals Leadership skills along with strong communication, problem solving, organizational and delegation skills to nurture and inspire team members Data-driven mindset within proven utilization of information to drive decisions, calibrate and results. Client handling skills to develop, manage and deepen relationships with key stakeholders Team building skills to collaborate, work and motivate teams with diverse skills and experience to achieve goals Leadership skills along with strong communication, problem solving, organizational and delegation skills to nurture and inspire team members Additional Information: Qualification Experience: Overall experience of 10+ years with at least 7+ years of experience in driving modern Marketing Organizations and data-driven growth strategies. Strategic advisory experience with ability to put proven frameworks to action to conduct as-is diagnostics and drive visioning workshops with senior stakeholders and leadership teams. Experience in leading marketing strategy, vision, philosophy, brand architecture, brand stage models, seamless integrated marketing process workflows, organization design, change strategies and workforce skilling strategies. Hands on experience in developing customer research design & execution, insight led always-on performance engines, customer Journey specific campaigns and offers, hyper-personalized customer experiences that deliver business value. Experience in working with industry leading Mar-tech tools such as Adobe, Microsoft, Salesforce, among others along with new age Gen AI agentic solutions Influencing skills to drive change agenda on behalf of the CXOs leveraging structured and proven change management frameworks & principles Experience in multi-disciplinary design involving channels, people, process, policy, compliance/controls and technology Understanding of marketing processes and operating models Experience in working across multiple industries including FMCG, Retail, Financial Services, Telecom, Communication, Software & Platforms Strong experience in shaping and driving engagements and ability to lead project teams Educational Qualification: MBA from a tier 1 institute

Role & responsibilities Overall - At least 8+ years of experience in performing security engineering and assessments of complex systems with AI / ML / Data Science capabilities and services 3+ years of experience auditing existing AI or machine learning systems for security risks and compliance. Development and implementation of AI content filtering mechanisms. Deployment and operation of tools and processes to analyze security threats and vulnerabilities in AI or machine learning systems. Identification and protection of sensitive data within AI solutions. Design and implementation of strategies to protect AI systems from cyber-attacks. Design and implementation of adversarial test plans. Strong analytical and problem-solving skills Excellent communication skills, both written and verbal, with the ability to convey complex information in a clear and concise manner. A commitment to staying current with the latest developments in cybersecurity through ongoing training and professional development. Ability to work both independently and as part of a team in a fast-paced, dynamic environment. Flexible to provide coverage in US morning hours on a need-basis, and as required Preferred candidate profile Bachelor's or master's degree in computer science, mathematics, information systems, engineering, or cybersecurity. Industry certifications such as CISSP, SANS and/or other relevant certifications Experience designing, developing, and deploying secure AI systems. Training in secure coding standards and best practices for AI-related projects. Knowledge of ethical hacking techniques. Ability to develop security protocols and policies. Excellent communication, problem-solving, and analytical skills. Ability to work independently and as part of a team.

Role & responsibilities Preferred candidate profile Python with Gen AI experience

We need hands-on experience with real-time projects and exposure to use cases like Text2SQL, chat applications or advanced RAG techniques involving LLM models. And understanding of UI. Job Description 8+yrs Ai architecture is good to have. UI front end skill Ai framework API experience. AIML use cases Design and develop cutting-edge AI solutions that address business challenges. Lead end-to-end AI development lifecycle, from problem definition, data collection to model deployment and maintenance. Collaborate with cross-functional teams to understand and analyze business requirements and translate them into AI solutions. Research and stay up to date with the latest AI and ML technologies and best practices. Mentor and provide guidance to junior AI developers on the team. Conduct code reviews and ensure code quality, scalability, and performance of AI applications. Collaborate with data scientists and engineers to preprocess and prepare data for AI models. Evaluate and select appropriate AI and ML algorithms for specific tasks. Develop and deploy AI models in a production environment and monitor their performance. Ensure data privacy and security measures are implemented in AI solutions.

As a data science expert, you will be responsible for developing strategies and solutions to address various problems using cutting-edge machine learning, deep learning, and GEN AI techniques. Your role will involve leading a team of data scientists to ensure timely and high-quality delivery of project outcomes. You will analyze large and complex datasets across different domains, perform exploratory data analysis, and select features to build and optimize classifiers and regressors. Enhancing data collection procedures, ensuring data quality and accuracy, and presenting analytical results to technical and non-technical stakeholders will be key aspects of your job. You will create custom reports and presentations with strong data visualization skills to effectively communicate analytical conclusions to senior company officials and other stakeholders. Proficiency in data mining, EDA, feature selection, model building, and optimization using machine learning and deep learning techniques is essential. Your primary skills should include a deep understanding and hands-on experience with data science and machine learning techniques, algorithms for supervised and unsupervised problems, NLP, computer vision, and GEN AI. You should also have expertise in building deep learning models for text and image analytics using frameworks like ANNs, CNNs, LSTM, Transfer Learning, Encoder, and decoder. Proficiency in programming languages such as Python, R, and common data science tools like NumPy, Pandas, Matplotlib, and frameworks like TensorFlow, Keras, PyTorch, XGBoost is required. Experience with statistical inference, hypothesis testing, and cloud platforms like Azure/AWS, as well as deploying models in production, will be beneficial for this role. Excellent communication and interpersonal skills are necessary to convey complex analytical concepts to diverse stakeholders effectively.,

As a Python API Developer specializing in Product Development, you will leverage your 4+ years of experience to design, develop, and maintain high-performance, scalable APIs that drive our Generative AI products. Your role will involve close collaboration with data scientists, machine learning engineers, and product teams to seamlessly integrate Generative AI models (e.g., GPT, GANs, DALL-E) into production-ready applications. Your expertise in backend development, Python programming, and API design will be crucial in ensuring the successful deployment and execution of AI-driven features. You should hold a Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. Your professional experience should demonstrate hands-on involvement in designing and developing APIs, particularly with Generative AI models or machine learning models in a production environment. Proficiency in cloud-based infrastructures (AWS, Google Cloud, Azure) and services for deploying backend systems and AI models is essential. Additionally, you should have a strong background in working with backend frameworks and languages like Python, Django, Flask, or FastAPI. Your core technical skills include expertise in Python for backend development using frameworks such as Flask, Django, or FastAPI. You should possess a strong understanding of building and consuming RESTful APIs or GraphQL APIs, along with experience in designing and implementing API architectures. Familiarity with database management systems (SQL/NoSQL) like PostgreSQL, MySQL, MongoDB, Redis, and knowledge of cloud infrastructure (e.g., AWS, Google Cloud, Azure) are required. Experience with CI/CD pipelines, version control tools like Git, and Agile development methodologies is crucial for automating deployments and ensuring efficient backend operations. Key responsibilities will involve closely collaborating with AI/ML engineers to integrate Generative AI models into backend services, handling data pipelines for real-time or batch processing, and engaging in design discussions to ensure technical feasibility and scalability of features. Implementing caching mechanisms, rate-limiting, and queueing systems to manage AI-related API requests, as well as ensuring backend services can handle high concurrency during resource-intensive generative AI processes, will be essential. Your problem-solving skills, excellent communication abilities for interacting with cross-functional teams, and adaptability to stay updated on the latest technologies and trends in generative AI will be critical for success in this role.,

As a Product Manager, you will be responsible for defining, managing, and executing a comprehensive product roadmap that aligns with client/user requirements, business strategy, and emerging market trends. Your role will involve driving product strategy and execution, delivering innovative solutions, and leading the entire product lifecycle from ideation to launch to ongoing optimization. You will work closely with cross-functional teams, including user cohorts, business leadership, and technical development teams, both in-house and third-party, to create detailed Business Requirement Documents (BRD) and Functional Requirement Documents (FRD). Gathering and analyzing business and user requirements will be essential to drive product direction and development, ensuring alignment with evolving needs. In addition, you will actively engage with business and user cohorts to gather requirements, validate solutions, and enhance user experience (UX) by continuously improving product features based on feedback and data-driven insights. Overseeing cross-functional teams to drive development, prioritize features, and ensure timely delivery will be key to your success in this role. Staying updated on the latest AI/ML/RPA/Gen AI trends, tools, and frameworks will also be crucial, as you will apply them where relevant to drive innovation. Collaborating with Product Marketing to showcase platforms and new features in various channels, as well as positioning comparative product features in user-review sites like G2 and Capterra, will be part of your responsibilities. To qualify for this position, you should have 3-6 years of experience in product management, preferably with exposure to creating web and mobile interfaces for AI/Gen AI/Automation based products. A proven track record of managing B2B products from ideation to launch and scaling, as well as experience in product feature prioritization frameworks, will be valuable assets. Strong skills in writing BRDs/FRDs, defining technical and functional requirements, and effectively managing the end-to-end product lifecycle are essential. Excellent stakeholder management and communication skills are required, along with prior knowledge of AI and Gen AI tools/frameworks. A Bachelor's degree in Engineering/Technology is preferred for this role.,

You will be responsible for leading AI/ML project implementation, starting from data collection and model development to deployment and optimization. Your role will involve creating, customizing, and deploying Custom GPTs tailored to specific business needs and real-world use cases. You will also be required to integrate OpenAI technologies, including Custom GPTs, into company systems to enhance automation and decision-making processes. Furthermore, you will develop and deploy predictive models and machine learning algorithms to address real-world challenges in the real estate sector. Collaboration with cross-functional teams to design AI-driven products and provide data-driven insights to guide business strategy will be a key aspect of your responsibilities. To qualify for this role, you should have at least 5 years of experience in Data Science, Machine Learning, and AI project implementation, with a strong ability to deploy models in production environments. Proven expertise in integrating OpenAI technologies, including developing and deploying Custom GPTs for business applications, is essential. You should possess a strong proficiency in programming languages such as Python or R, along with experience in machine learning libraries like TensorFlow, PyTorch, and other related tools. Additionally, solid experience with cloud platforms (AWS, GCP, Azure), knowledge of data pipelines, MLOps tools (e.g., Docker, Kubernetes), and machine learning deployment processes are required. A strong understanding of Natural Language Processing (NLP), deep learning models, and data analytics is necessary, with a preference for experience in real estate industry applications. Your skills should include expertise in Gen AI, NLP, SQL, and Machine Learning. About UST: UST is a global digital transformation solutions provider that has been partnering with the world's best companies for over 20 years to drive real impact through transformation. With a workforce of over 30,000 employees in 30 countries, UST is committed to embedding innovation and agility into their clients" organizations. Powered by technology, inspired by people, and led by purpose, UST collaborates with clients from design to operation, ensuring a future-proof philosophy that touches billions of lives in the process.,

Short Description: Seeking a Product Management/IT Leader to join GDIA and lead a team to provide the SCA Analytics team with Software Engineering support. Description: This Supply Chain Analytics Product Line Manager position is responsible for managing Product group in ISA (Supply Chain) and managing the Product line under this product group. The Supply Chain Analytics Product Line Manager will partner with our Data Scientist colleagues to create new products supporting the MP&L and Purchasing businesses. This position will manage a total team size of close to 10 people across multiple geographies. This position is a Product Line Manager role, leading a software development team to create new products. This position will require knowledge of the Ford ecosystem, ability to work across teams, and ability to manage and highlight dependencies at scale. The selected candidate will need to build relationships with our Data Scientist Partners and Peer Product Line Manager, grow their development team, and lead the team in the PDO Model. The SCA Product Line Manager will lead the development of POCs to production-ready products. Responsibilities: Lead and work with PMs across Product Line teams in the Product Group, empowering and optimizing Members contributions. Responsible for maximizing the smooth flow of work through the Product Line teams ensuring teams are well served and measuring delivery KPIs Works with Product Line Owner on creating demand and aligning the requirements to the Business demands. Implement a roadmap and sourcing and skilling strategy for onboarding products to GCP. Guide Product Teams to upskill and implement Gen AI, look for potential opportunities to implement LLM. Work with Data Factory team to implement Data ingestion, data products. Removes blockers and orchestrates dependencies for the Product team. Ensures Governance ceremonies occur on a regular cadence, initiatives are properly decomposed, Flow metrics are tracked, and decisions/actions taken based on metrics. Mentor, coach, and provide best practices to Product Teams to guide them on management and development of their respective foundational products within the matched pair Product Owner – Manager and Agile software methods. Drive cross functional integration across other product groups as well as various teams within the same product group. Collaborate with Chief Architects and monitor new demand processes to identify emerging foundational Product needs and domains. Qualifications: B.S. in Computer Science or other related degree. 10+ years of progressive responsibilities in management of software delivery experience. 3+ years' experience as a Leader leading software/data engineering team Familiarity with Google Cloud Platform, Gen AI preferred. Google Digital Leader certification preferred. Deep understanding of Agile & PDO processes Experience working across domains, skill teams and technology Ability to multitask, change priorities at a moment’s notice, and be able to lead teams effectively. Ability to collaborate, negotiate, and work effectively with coworkers at all levels.

As a Specialist Design Engineer focused on ServiceNow, you will play a crucial role in contributing to BT Group's digital transformation by rapidly bringing innovative ideas to market. Your primary responsibility will be to drive service innovation and deliver products and services that meet the needs of customers in a fast-paced and scalable manner. You will be responsible for owning and delivering strategic investment choices that support Service management's transformation. This includes assessing requirements within BT Business, identifying optimal design patterns for scalable system components, and making informed decisions based on thorough analysis of different scenarios. Your focus on risk management, business case development, and benefit realization will be essential in unblocking obstacles and ensuring timely project delivery. Collaboration and relationship-building will be key aspects of your role, as you will need to develop strong connections with internal and external customers and suppliers to facilitate program deliverables. Additionally, you will lead the platform design team, overseeing the work of other designers and ensuring governance across various deliveries within BT Business. To excel in this role, you should possess expertise in technologies such as ServiceNow CMDB data model, GEN AI, Agentic AI, ITOM, Service Bridge, CSM, ITSM, Risk Management, and TMF compliant ServiceNow integration framework. Your ability to develop solutions aligned with enterprise architecture, solve complex problems, and drive continuous improvement through agile practices will be critical. Furthermore, your communication skills, project management abilities, and commercial acumen will be essential in executing priorities that add value to customers and the business. By embodying BT Group's leadership standards, you will contribute to the company's growth mindset and future readiness, building diverse teams that drive innovation and excellence. BT Group, as a pioneer in the telecom sector, is undergoing a significant transformation to enhance connectivity and revolutionize customer experiences. By joining the organization, you will be part of a dynamic team that is shaping the future of telecommunications in the UK. If you are passionate about driving change, embracing diversity, and contributing to a forward-thinking company, this role presents an exciting opportunity to make a meaningful impact. Please note that BT Group is committed to creating an inclusive workplace where individuals from diverse backgrounds and experiences are encouraged to apply. If you believe you have the skills and drive to excel in this role, we welcome your application, even if you do not meet every single requirement outlined in the job description.,

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

You will be responsible for building and interpreting machine learning models on real business data from the SigView platform, such as Logistic Regression, Boosted trees (Gradient boosting), Random Forests, and Decision Trees. Your tasks will include identifying data sources, integrating multiple sources or types of data, and applying data analytics expertise within a data source to develop methods to compensate for limitations and extend the applicability of the data. Moreover, you will be expected to extract data from relevant data sources, including internal systems and third-party data sources, through manual and automated web scrapping. Your role will involve validating third-party metrics by cross-referencing various syndicated data sources and determining the numerical variables to be used in the same form as they are from the raw datasets, categorized into buckets, and used to create new calculated numerical variables. You will perform exploratory data analysis using PySpark to finalize the list of compulsory variables necessary to solve the business problem and transform formulated problems into implementation plans for experiments by applying appropriate data science methods, algorithms, and tools. Additionally, you will work with offshore teams post data preparation to identify the best statistical model/analytical solution that can be applied to the available data to solve the business problem and derive actionable insights. Your responsibilities will also include collating the results of the models, preparing detailed technical reports showcasing how the models can be used and modified for different scenarios in the future to develop predictive insights. You will develop multiple reports to facilitate the generation of various business scenarios and provide features for users to generate scenarios. Furthermore, you will be interpreting the results of tests and analyses to develop insights into formulated problems within the business/customer context and provide guidance on risks and limitations. Acquiring and using broad knowledge of innovative data analytics methods, algorithms, and tools, including Spark, Elasticsearch, Python, Databricks, Azure, Power BI, Azure Cloud services, LLMs-Gen AI, and Microsoft Suite will be crucial for success in this role. This position may involve telecommuting and requires 10% travel nationally to meet with clients. The minimum requirements for this role include a Bachelor's Degree in Electronics Engineering, Computer Engineering, Data Analytics, Computer Science, or a related field plus five (5) years of progressive experience in the job offered or related occupation. Special skill requirements for this role include applying statistical methods to validate results and support strategic decisions, building and interpreting advanced machine learning models, using various tools such as Python, Scikit-Learn, XGBoost, Databricks, Excel, and Azure Machine Learning for data preparation and model validation, integrating diverse data sources using data analytics techniques, and performing data analysis and predictive model development using AI/ML algorithms. Your mathematical knowledge in Statistics, Probability, Differentiation and Integration, Linear Algebra, and Geometry will be beneficial. Familiarity with Data Science libraries such as NumPy, SciPy, and Pandas, Azure Data Factory for data pipeline design, NLTK, Spacy, Hugging Face Transformers, Azure Text Analytics, OpenAI, Word2Vec, and BERT will also be advantageous. The base salary for this position ranges from $171,000 to $190,000 per annum for 40 hours per week, Monday to Friday. If you have any applications, comments, or questions regarding the job opportunity described, please contact Piyush Khemka, VP, Business Operations, at 111 Town Square Pl., Suite 1203, Jersey City, NJ 07310.,

You are an experienced OCI AI Architect who will be responsible for leading the design and deployment of Gen AI, Agentic AI, and traditional AI/ML solutions on Oracle Cloud. Your role will involve a deep understanding of Oracle Cloud Architecture, Gen AI, Agentic and AI/ML frameworks, data engineering, and OCI-native services. The ideal candidate will possess a combination of deep technical expertise in AI/ML and Gen AI over OCI along with domain knowledge in Finance and Accounting. Your key responsibilities will include designing, architecting, and deploying AI/ML and Gen AI solutions on OCI using native AI services, building agentic AI solutions using frameworks such as LangGraph, CrewAI, and AutoGen, leading the development of machine learning AI/ML pipelines, and providing technical guidance on MLOps, model versioning, deployment automation, and AI governance. You will collaborate with functional SMEs, application teams, and business stakeholders to identify AI opportunities, advocate for OCI-native capabilities, and support customer presentations and solution demos. To excel in this role, you should have 10-15 years of experience in Oracle Cloud and AI, with at least 5 years of proven experience in designing, architecting, and deploying AI/ML & Gen AI solutions over OCI AI stack. Strong Python development experience, knowledge of LLMs such as Cohere and GPT, proficiency in AI/ML/Gen AI frameworks like TensorFlow, PyTorch, Hugging Face, and hands-on experience with OCI services are required. Additionally, skills in AI governance, Agentic AI frameworks, AI architecture principles, and leadership abilities are crucial for success. Qualifications for this position include Oracle Cloud certifications such as OCI Architect Professional, OCI Generative AI Professional, OCI Data Science Professional, as well as a degree in Computer Science or MCA. Any degree or diploma in AI would be preferred. Experience with front-end programming languages, Finance domain solutions, Oracle Cloud deployment, and knowledge of Analytics and Data Science would be advantageous. If you are a highly skilled and experienced OCI AI Architect with a passion for designing cutting-edge AI solutions on Oracle Cloud, we invite you to apply and join our team for this exciting opportunity.,

We need hands-on experience with real-time projects and exposure to use cases like Text2SQL, chat applications or advanced RAG techniques involving LLM models. And understanding of UI. Job Description 8+yrs Ai architecture is good to have. UI front end skill Ai framework API experience. AIML use cases Design and develop cutting-edge AI solutions that address business challenges. Lead end-to-end AI development lifecycle, from problem definition, data collection to model deployment and maintenance. Collaborate with cross-functional teams to understand and analyze business requirements and translate them into AI solutions. Research and stay up to date with the latest AI and ML technologies and best practices. Mentor and provide guidance to junior AI developers on the team. Conduct code reviews and ensure code quality, scalability, and performance of AI applications. Collaborate with data scientists and engineers to preprocess and prepare data for AI models. Evaluate and select appropriate AI and ML algorithms for specific tasks. Develop and deploy AI models in a production environment and monitor their performance. Ensure data privacy and security measures are implemented in AI solutions.

As a Senior Software Engineer at Wells Fargo, you will take the lead in driving complex technology initiatives that have a companywide impact. You will be instrumental in setting standards and best practices for engineering large-scale technology solutions across various technology disciplines. Your responsibilities will include designing, coding, testing, debugging, and documenting projects and programs. Your role will involve reviewing and analyzing complex technology solutions to address tactical and strategic business objectives within the enterprise technological environment. You will be making critical decisions in developing best practices for engineering solutions, leveraging industry standards and new technologies to guide and influence the technology team towards meeting deliverables and driving new initiatives. Collaboration and consultation with technical experts, senior technology team members, and external industry groups will be key to resolving technical challenges and achieving set goals. Moreover, you will lead projects, teams, or serve as a mentor to peers. The job requires a minimum of 5 years of Software Engineering experience or an equivalent combination of work experience, training, military service, or education. Desired qualifications for this role include strong Python programming skills, expertise in RPA tools like UI Path, proficiency in Workflow automation tools such as Power Platform, and a minimum of 2 years of hands-on experience in AI/ML and Gen AI. Additionally, experience in LLMs (Gemini, GPT, or Llama), prompt engineering, model fine-tuning, and AI/Gen AI certifications from premier institutions are preferred. Hands-on experience in ML ops tools like MLflow and CICD pipelines is also valued. In terms of job expectations, you will be involved in designing and developing AI-driven automation solutions, implementing AI automation to improve process automation, developing and maintaining automation, BOTS, and AI-based workflows, integrating AI automation with existing applications, API's and databases, and building and optimizing prompt engineering workflows. Furthermore, you will fine-tune and integrate pre-trained models for specific use cases and deploy models in production using robust ML ops practices. If you believe you are the ideal candidate for this role, we encourage you to apply before the job posting ends on 23rd July 2025. Wells Fargo is committed to providing equal opportunities, and we welcome applications from all qualified candidates, including women, persons with disabilities, aboriginal peoples, and visible minorities. If you require any accommodations during the recruitment process due to a disability, please reach out to Disability Inclusion at Wells Fargo.,

Job Title : .Net Gen AI Location : PAN INDIA Qualification : Graduation/Post-Graduation Experience : 5+ Years Required skills - Experience in .Net Gen AI Experience in Gen AI Tools any one Experience in .Net COre Excellent communication skill. Interested candidates can send their resume and below details at priyanka.v@sigmacareers.in 1. Notice Period (LWD)- 2. Current CTC- 3. Expected CTC Per Month- 4. Current company- 5. Total year of experience- 6. Relevant experience- 7. Do have any offer how much offer you are having offer- 8. Current location- 9. Preferred location-

Inviting applications for the role of Lead Consultant-Data Scientists with AI and Generative Model experience! We are currently looking for a talented and experienced Data Scientist with a strong background in AI, specifically in building generative AI models using large language models, to join our team. This individual will play a crucial role in developing and implementing data-driven solutions, AI-powered applications, and generative models that will help us stay ahead of the competition and achieve our ambitious goals. Responsibilities • Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets to develop actionable insights and drive data-driven decision-making. • Design, develop, and implement advanced statistical models, machine learning algorithms, AI applications, and generative models using large language models such as GPT-3, BERT and also frameworks like RAG, Knowledge Graphs etc. Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations. Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed. Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones. Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth. Qualifications we seek in you: Minimum Qualifications • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. Experience in data science, machine learning, AI applications, and generative AI modelling. Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks. Proficient in statistical modelling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc. Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark. Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations. Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders. Preferred Qualifications/ skills • Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP. Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills.

About this role: Wells Fargo is seeking a Senior Software Engineer. In this role, you will: Lead complex technology initiatives including those that are companywide with broad impact Act as a key participant in developing standards and companywide best practices for engineering complex and large-scale technology solutions for technology engineering disciplines Design, code, test, debug, and document for projects and programs Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors Make decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals Lead projects, teams, or serve as a peer mentor Required Qualifications: 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Strong Python programming skills Expertise in RPA tools such as UI path Expertise in Workflow automation tools such as Power Platform Minimum 2 Years of hands-on experience in AI/ML and Gen AI Proven experience in LLMs (Gemini, GPT or Llama etc.) Extensive experience in Prompt Engineering and model fine tuning AI/Gen AI Certifications from premier institution Hands on experience in ML ops (MLflow, CICD pipelines) Job Expectations: Design and develop AI driven automation solutions Implement AI automation to enhance process automation Develop and maintain automation, BOTS and AI based workflows Integrate Ai automation with existing applications, APIs and databases Design, develop and implement Gen AI applications using LLMs Build and optimize prompt engineering workflows Fine tune and integrate pre-trained models for specific use cases Deploy models in production using robust MLops practices

About this role: Wells Fargo is seeking a Senior Software Engineer. In this role, you will: Lead moderately complex initiatives and deliverables within technical domain environments Contribute to large scale planning of strategies Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals Lead projects and act as an escalation point, provide guidance and direction to less experienced staff Required Qualifications: 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Strong Python programming skills Expertise in RPA tools such as UI path Expertise in Workflow automation tools such as Power Platform Minimum 2 Years of hands-on experience in AI/ML and Gen AI Proven experience in LLMs (Gemini, GPT or Llama etc.) Extensive experience in Prompt Engineering and model fine tuning AI/Gen AI Certifications from premier institution Hands on experience in ML ops (MLflow, CICD pipelines) Job Expectations: Design and develop AI driven Automation solutions Implement AI automation to enhance process automation Develop and maintain automation, BOTS and AI based workflows Integrate Ai automation with existing applications, APIs and databases Design, develop and implement Gen AI applications using LLMs Build and optimize prompt engineering workflows Fine tune and integrate pre-trained models for specific use cases Deploy models in production using robust MLops practices

This position demands a robust blend of software engineering mastery and deep machine learning expertise. 1. Core Software Development & Architecture Languages: Expert proficiency in Java and Kotlin (for server-side technologies). Distributed Systems: Extensive experience building large-scale distributed applications and backend services . Fundamentals: Strong command of Data Structures, Algorithms, Object-Oriented Programming (OOP), and Software Design/Architecture . Full Lifecycle Ownership: Ability to command the entire software development lifecycle, from design and architecture to coding, testing, deployment, and maintenance. 2. Machine Learning & AI End-to-End ML Lifecycle: Hands-on experience with the complete ML lifecycle, especially model deployment and application at scale . ML Programming: Proven expertise in Python and key ML libraries like scikit-learn, TensorFlow, PyTorch, and Keras . ML Fundamentals: Strong understanding of machine learning fundamentals, algorithms, and model evaluation techniques . ML Ops: Practical experience with ML Ops tools and best practices . Performance Metrics: Familiarity with key prediction metrics such as accuracy, latency, throughput, confidence scores, and data & concept drift . Bonus/Highly Desirable: Experience in AI research or industrial recommendation systems , familiarity with cloud services , and knowledge of Large Language Models (LLMs) or prompt engineering . 3. Data & Big Data Technologies Big Data Processing: Proven experience designing and operating Big Data processing pipelines (Hadoop, Spark) . NoSQL Databases: Experience with NoSQL databases or key-value stores (e.g., MongoDB, Redis) . Data Analysis: Proficiency in the close examination of data, computation of statistics, and deriving data insights . Large-Scale Data Handling: Ability to work proficiently with large-scale data in Hadoop and Spark environments . 4. Strategic & Soft Skills Technical Leadership: Ability to develop and execute sound technical strategies for complex projects and guide junior team members . Collaboration: Strong capability to work closely with product managers and partners to translate business requirements into technical solutions. Innovation: Drive for developing novel solutions to challenging problems. Communication: Excellent communication skills . Mindset: A passion for technical excellence , a "can-do" attitude , and a willingness to learn and master new technologies . Statistics: Solid foundation in core Statistics knowledge .

Inviting applications for the role of Lead Consultant-Data Scientists with AI and Generative Model experience! We are currently looking for a talented and experienced Data Scientist with a strong background in AI, specifically in building generative AI models using large language models, to join our team. This individual will play a crucial role in developing and implementing data-driven solutions, AI-powered applications, and generative models that will help us stay ahead of the competition and achieve our ambitious goals. Responsibilities Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets to develop actionable insights and drive data-driven decision-making. Design, develop, and implement advanced statistical models, machine learning algorithms, AI applications, and generative models using large language models such as GPT-3, BERT and also frameworks like RAG, Knowledge Graphs etc. Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations. Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed. Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones. Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth. Qualifications we seek in you: Minimum Qualifications Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. Experience in data science, machine learning, AI applications, and generative AI modelling. Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks. Proficient in statistical modelling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc. Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark. Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations. Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders. Preferred Qualifications/ skills Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP. Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills.

About this role: Wells Fargo is seeking a Senior Software Engineer. In this role, you will: Lead moderately complex initiatives and deliverables within technical domain environments Contribute to large scale planning of strategies Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals Lead projects and act as an escalation point, provide guidance and direction to less experienced staff Required Qualifications: 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Strong Python programming skills Expertise in RPA tools such as UI path Expertise in Workflow automation tools such as Power Platform Minimum 2 Years of hands-on experience in AI/ML and Gen AI Proven experience in LLMs (Gemini, GPT or Llama etc.) Extensive experience in Prompt Engineering and model fine tuning AI/Gen AI Certifications from premier institution Hands on experience in ML ops (MLflow, CICD pipelines) Job Expectations: Design and develop AI driven Automation solutions Implement AI automation to enhance process automation Develop and maintain automation, BOTS and AI based workflows Integrate Ai automation with existing applications, APIs and databases Design, develop and implement Gen AI applications using LLMs Build and optimize prompt engineering workflows Fine tune and integrate pre-trained models for specific use cases Deploy models in production using robust MLops practices