1069 Llm Jobs - Page 30

- Design, develop, and maintain solutions using Microsoft Copilot Studio for both declarative and custom agents. - Communicate with business users to gather requirements and design Microsoft Copilot solution. - Act as a business solutions architect in the Microsoft Copilot to guide team members in unified approach on development. - Develop custom connectors for Microsoft Copilot. - Integrate Microsoft Copilot with Power Platform Solutions using Power Automate, Teams, Sharepoint, different knowledge bases etc. - Provide support for existing solutions and collaborate with cross-functional teams to investigate possible issues. Requirements : - Proficiency in Computer Science, Engineering, Information Systems, or a related field. - Strong experience with Microsoft Power Platform. - Strong experience integrating REST APIs, custom connectors, and Azure services. - Experience with Copilot AI, Azure OpenAI, or similar AI-powered development tools, LLMs, familiarity with AI concepts. - Strong problem-solving skills and ability to translate business needs into technical solutions. - Must have skills: Microsoft Power Apps, Microsoft Copilot.

ONLY 30 DAYS JOINERS Hello I hope you're doing well. We are currently hiring for an exciting opportunity with one of our top clients in the field of Generative AI . Based on your background, I believe this role could be a strong match for your expertise. Role Highlights: Location: Bangalore/Chennai/Kolkata/Pune/Hyderabad Experience Required: 11 -16 Years Notice Period: Maximum 30 Days CTC: As per market standards Mandatory Skills: Gen AI, LLM, ML/DL/NLP, RAG, LangChain, Mistral, Llama, Hugging Face, Python, TensorFlow, PyTorch, Django, Vector DB Preferred Skills: GCP/Azure/AWS, Databricks, MLOps (Kubeflow/Mlflow), Kubernetes, GitHub/Bitbucket, ADO, GPT-4 Key Responsibilities: Develop and implement advanced Generative AI models. Apply ML/DL algorithms for real-world applications across NLP and vision domains. Collaborate on data preprocessing, model training, and deployment. Drive innovation by staying current with industry trends and R&D in Gen AI. Ensure responsible AI practices and performance monitoring post-deployment. Mentor junior members and lead AI-driven project initiatives. If you're interested or know someone who fits this role, please share your updated resume and current CTC/Notice Period details. WhatsApp: 987153039 Email: shweta.gupta@sspearhead.com Warm Regards SHWETA GUPTA || Senior Recruitment Specialist Spearhead Professional Services Call/ WhatsApp: 9871530393 LinkedIn Profile: shwetagupta1810

Title: SR DATA SCIENCE Experience: 7 - 9 Years Notice Period: Immediate to 15 days Work Mode: Remote, Hybrid Location: Hyderabad & Chennai Requirements: Experience designing and developing automated pipelines that utilize some combination of RAG pipelines, automated generation of prompts to LLMs, and/or multi-agent Agentic inference engines. All skills / experience of above listed data scientist roles plus: Architected and designed end to end pipelines that utilize LLMs and Autonomous Agents. Designed and implemented methods for assuring quality and governing the output of Gen AI or Agentic solutions. Designed and developed APIs exposing services of services that consume LLMs.

- Design, develop, and maintain solutions using Microsoft Copilot Studio for both declarative and custom agents. - Communicate with business users to gather requirements and design Microsoft Copilot solution. - Act as a business solutions architect in the Microsoft Copilot to guide team members in unified approach on development. - Develop custom connectors for Microsoft Copilot. - Integrate Microsoft Copilot with Power Platform Solutions using Power Automate, Teams, Sharepoint, different knowledge bases etc. - Provide support for existing solutions and collaborate with cross-functional teams to investigate possible issues. Requirements : - Proficiency in Computer Science, Engineering, Information Systems, or a related field. - Strong experience with Microsoft Power Platform. - Strong experience integrating REST APIs, custom connectors, and Azure services. - Experience with Copilot AI, Azure OpenAI, or similar AI-powered development tools, LLMs, familiarity with AI concepts. - Strong problem-solving skills and ability to translate business needs into technical solutions. - Must have skills: Microsoft Power Apps, Microsoft Copilot.

- Design, develop, and maintain solutions using Microsoft Copilot Studio for both declarative and custom agents. - Communicate with business users to gather requirements and design Microsoft Copilot solution. - Act as a business solutions architect in the Microsoft Copilot to guide team members in unified approach on development. - Develop custom connectors for Microsoft Copilot. - Integrate Microsoft Copilot with Power Platform Solutions using Power Automate, Teams, Sharepoint, different knowledge bases etc. - Provide support for existing solutions and collaborate with cross-functional teams to investigate possible issues. Requirements : - Proficiency in Computer Science, Engineering, Information Systems, or a related field. - Strong experience with Microsoft Power Platform. - Strong experience integrating REST APIs, custom connectors, and Azure services. - Experience with Copilot AI, Azure OpenAI, or similar AI-powered development tools, LLMs, familiarity with AI concepts. - Strong problem-solving skills and ability to translate business needs into technical solutions. - Must have skills: Microsoft Power Apps, Microsoft Copilot.

Responsibilities: * Design, develop, and deploy generative AI models using Python and TensorFlow. * Optimize model performance through RAG testing and LLM integration.

- Design, develop, and maintain solutions using Microsoft Copilot Studio for both declarative and custom agents. - Communicate with business users to gather requirements and design Microsoft Copilot solution. - Act as a business solutions architect in the Microsoft Copilot to guide team members in unified approach on development. - Develop custom connectors for Microsoft Copilot. - Integrate Microsoft Copilot with Power Platform Solutions using Power Automate, Teams, Sharepoint, different knowledge bases etc. - Provide support for existing solutions and collaborate with cross-functional teams to investigate possible issues. Requirements : - Proficiency in Computer Science, Engineering, Information Systems, or a related field. - Strong experience with Microsoft Power Platform. - Strong experience integrating REST APIs, custom connectors, and Azure services. - Experience with Copilot AI, Azure OpenAI, or similar AI-powered development tools, LLMs, familiarity with AI concepts. - Strong problem-solving skills and ability to translate business needs into technical solutions. - Must have skills: Microsoft Power Apps, Microsoft Copilot.

- Design, develop, and maintain solutions using Microsoft Copilot Studio for both declarative and custom agents. - Communicate with business users to gather requirements and design Microsoft Copilot solution. - Act as a business solutions architect in the Microsoft Copilot to guide team members in unified approach on development. - Develop custom connectors for Microsoft Copilot. - Integrate Microsoft Copilot with Power Platform Solutions using Power Automate, Teams, Sharepoint, different knowledge bases etc. - Provide support for existing solutions and collaborate with cross-functional teams to investigate possible issues. Requirements : - Proficiency in Computer Science, Engineering, Information Systems, or a related field. - Strong experience with Microsoft Power Platform. - Strong experience integrating REST APIs, custom connectors, and Azure services. - Experience with Copilot AI, Azure OpenAI, or similar AI-powered development tools, LLMs, familiarity with AI concepts. - Strong problem-solving skills and ability to translate business needs into technical solutions. - Must have skills: Microsoft Power Apps, Microsoft Copilot.

Technical Architect Experience - 10+ years Location: Hyderabad (WFO) Notice period: Preferred candidates who can join early less than 30 days Organization: Intellect Design Arena - Product Organization ------------------------------------------------------------------------------------------------------------------------------------------------------------ Skills & Qualifications Must-Have: 10+ years in software engineering, with 3+ years as an Architect in product companies. Expertise in cloud platforms (AWS Certified Solutions Architect preferred). Proficiency in modern stacks (Kubernetes, serverless, Kafka, GraphQL). Strong customer-facing skills (demos, workshops, whiteboarding). Nice-to-Have: Experience with AI/ML pipelines (TensorFlow, LangChain, MLOps). Knowledge of security/compliance (SOC2, GDPR). Soft Skills: "Demo mindset" Ability to simplify tech for non-technical audiences. Influencer Convince customers and internal teams on architectural decisions. Key Responsibilities 1. Solution Design & Architecture Own architecture sign-off for product features, ensuring scalability, security, and cost efficiency. Translate customer requirements into technical blueprints (POCs, diagrams, RFPs). Define tech stack evolution (e.g., microservices, event-driven architectures). 2. Customer Engagement Lead technical discussions/demos to showcase product capabilities and address concerns. Collaborate with sales/pre-sales to craft winning proposals . 3. Innovation & Modernization Drive cloud-native adoption (AWS/Azure/GCP) and AI/ML integrations (e.g., LLMs, predictive analytics). Champion tech debt reduction (legacy modernization, containerization). 4. Cross-Functional Leadership Align engineering, product, and DevOps teams on technical roadmap priorities . Mentor engineers on best practices Interested candidates can reach out to bicky.nath@intellectdesign.com

We are seeking a highly experienced and technically adept Lead AI/ML Engineer to spearhead the development and deployment of cutting-edge AI solutions, with a focus on Generative AI and Natural Language Processing (NLP). The ideal candidate will be responsible for leading a high-performing team, architecting scalable ML systems, and driving innovation across AI/ML projects using modern toolchains and cloud-native technologies. Key Responsibilities Team Leadership: Lead, mentor, and manage a team of data scientists and ML engineers; drive technical excellence and foster a culture of innovation. AI/ML Solution Development: Design and deploy end-to-end machine learning and AI solutions, including Generative AI and NLP applications. Conversational AI: Build LLM-based chatbots and document intelligence tools using frameworks like LangChain , Azure OpenAI , and Hugging Face . MLOps Execution: Implement and manage the full ML lifecycle using tools such as MLFlow , DVC , and Kubeflow to ensure reproducibility, scalability, and efficient CI/CD of ML models. Cross-functional Collaboration: Partner with business and engineering stakeholders to translate requirements into impactful AI solutions. Visualization & Insights: Develop interactive dashboards and data visualizations using Streamlit , Tableau , or Power BI for presenting model results and insights. Project Management: Own delivery of projects with clear milestones, timelines, and communication of progress and risks to stakeholders. Required Skills & Qualifications Languages & Frameworks: Proficient in Python and frameworks like TensorFlow , PyTorch , Keras , FastAPI , Django NLP & Generative AI: Hands-on experience with BERT , LLaMA , Spacy , LangChain , Hugging Face , and other LLM-based technologies MLOps Tools: Experience with MLFlow , Kubeflow , DVC , ClearML for managing ML pipelines and experiment tracking Visualization: Strong in building visualizations and apps using Power BI , Tableau , Streamlit Cloud & DevOps: Expertise with Azure ML , Azure OpenAI , Docker , Jenkins , GitHub Actions Databases & Data Engineering: Proficient with SQL/NoSQL databases and handling large-scale datasets efficiently Preferred Qualifications Masters or PhD in Computer Science, AI/ML, Data Science, or related field Experience working in agile product development environments Strong communication and presentation skills with technical and non-technical stakeholders

Our client INFOSYS is looking for Artificial Intelligence Engineer position with 5+ years of experience in Pune location. CONTRACT TO HIRE AND WORK FROM OFFICE Job Description : Mandatory Skills : Python + LLMs + AI + Azure Certified. ole Definition: This is a specialized role for an AI Software Engineers design, build, and deploy scalable AI models and systems. They work with machine learning frameworks, cloud platforms, and data engineering tools to create and optimize AI solutions. Skills: Proficient: Languages/Framework: Fast API, Azure UI Search API (React) Cloud: Azure Cloud Basics (Azure DevOps) Gitlab: Gitlab Pipeline Ansible and REX: Rex Deployment Data Science: Prompt Engineering + Modern Testing Data pipeline development Understanding of AI/ML algorithms and their applications MLOps frameworks Knowledge of cloud platforms (Azure ML especially) Model deployment process o Data pipeline monitoring Expert: (in addition to proficient skills) o Languages/Framework: Azure Open AI o Data Science: Open AI GPT Family of models 4o/4/3, Embeddings + Vector Search o Databases and ETL: Azure Storage Account, Postgresql, Cosmos o Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn) o Knowledge of cloud platforms (AWS SageMaker, Google AI Platform) o Expertise in data preprocessing, feature engineering, and model evaluation o Understanding of software engineering principles (version control, CI/CD, containerization) o Familiarity with distributed computing and big data tools (Spark, Hadoop) o Ability to optimize models for performance and scalability o Experience with Azure AI Search

Greetings from Blue Altair! Job Overview: We are seeking an experienced and highly skilled Data Science and AI Engineer to join our dynamic team. The ideal candidate will have 5+ years of experience working on cutting-edge data science and AI technologies across various cloud platforms with a strong focus to work on LLMs and SLMs. The role demands a professional capable of performing in a client-facing environment, as well as mentoring and guiding junior team members. Title: Consultant/Sr. Consultant - Data Science Engineer Experience : 5-8 years Location: Pune/Bangalore (Hybrid) Roles and responsibilities: Develop, implement, and optimize machine learning models and AI algorithms to solve complex business problems. Design, build, and fine-tune AI models, particularly focusing on LLMs and SLMs, using state-of-the-art techniques and architectures. Apply advanced techniques in prompt engineering, model fine-tuning, and optimization to tailor models for specific business needs. Deploy and manage machine learning models and pipelines on cloud platforms (AWS, GCP, Azure, etc.). Work closely with clients to understand their data and AI needs and provide tailored solutions. Collaborate with cross-functional teams to integrate AI solutions into broader software architectures. Mentor junior team members and provide guidance in implementing best practices in data science and AI development. Stay up-to-date with the latest trends and advancements in data science, AI, and cloud technologies. Prepare technical documentation and present insights to both technical and non-technical stakeholders. Requirement: 5+ years of experience in data science, machine learning, and AI technologies. Proven experience working with cloud platforms such as Google Cloud, Microsoft Azure, or AWS. Expertise in programming languages such as Python, R, Julia, and AI frameworks like TensorFlow, PyTorch, Scikit-learn, Hugging face Transformers. Knowledge of data visualization tools (e.g., Matplotlib, Seaborn, Tableau) Solid understanding of data engineering concepts including ETL, data pipelines, and databases (SQL, NoSQL). Experience with MLOps practices and deployment of models in production environments. Familiarity with NLP (Natural Language Processing) tasks and working with large-scale datasets. Hands-on experience with generative AI models like GPT, Gemini, Claude, Mistral etc. Client-facing experience with strong communication skills to manage and engage stakeholders. Strong problem-solving skills and analytical mindset. Ability to work independently and as part of a team and mentor and provide technical leadership to junior team members.

About the Role As a Data Science Engineer, you will need strong technical skills in data modeling, machine learning, data engineering, and software development. You will have the ability to conduct literature reviews and critically evaluate research papers to identify applicable techniques. Additionally, you should be able to design and implement efficient and scalable data processing pipelines, perform exploratory data analysis, and collaborate with other teams to integrate data science models into production systems. Passion for conversational AI and a desire to solve some of the most complex problems in the Natural Language Processing space are essential. You will work on highly scalable, stable, and automated deployments, aiming for high performance. Taking on the challenge of building and scaling a truly remarkable AI platform to impact the lives of millions of customers will be part of your responsibilities. Working in a challenging yet enjoyable environment, where learning new things is the norm, you should think of solutions beyond boundaries. You should also drive outcomes with full ownership, deeply believe in customer obsession, and thrive in a fast-paced environment of learning and innovation. You will work in a challenging, consumer-facing problem space, where you can make an immediate impact. You will get to work with the latest technologies, learn to use new tools and get the opportunity to have your say in the final product. Youll work alongside a great team in an open, collaborative environment. We are part of Vimo, a well-funded, stable mid-size company with excellent salaries, medical/dental/vision coverage, and perks. Vimo is an Equal Opportunity Employer. Data Science Engineer Responsibilities: Build and maintain robust data pipelines to process data from varied sources like databases, APIs, and file systems. Harness data science tools and techniques to develop proof of concepts, evolving solutions through adept prompt engineering and fine-tuning of models like GPT. Conduct comprehensive literature reviews and critically evaluate research papers to identify innovative techniques, focusing on the latest advancements in LLM/Generative AI. Create and manage JSON APIs to expose data, machine learning services, and AI models to other systems and applications. Ensure data accuracy, completeness, and reliability through stringent quality control measures and data validation techniques. Optimize existing language models for generative AI tasks, focusing on enhancing their application across various platforms. Work in tandem with product teams to seamlessly integrate cutting-edge AI technologies, upholding the highest quality standards in product execution. Fine-tune and deploy LLMs, ensuring they are meticulously adjusted and ready for release. Engage in ongoing research and application of new methodologies to bolster the efficiency and output quality of our LLM operations. Design and develop LLMs dedicated to a range of content generation tasks, pushing the boundaries of AI's creative capabilities. Keep up to date of the latest trends and breakthroughs in NLP and large language model technology, incorporating novel approaches to refine our models. Lead experiments and analyses to fine-tune model designs and hyperparameters, ensuring superior model performance with continuous monitoring using KPIs and metrics. Demonstrate strong analytical and troubleshooting skills; and someone who enjoys owning and solving problems end-to-end. Excellent communication skills. Comfortable interacting with remote teams in multiple offices that practice agile methodologies. Requirements & Qualifications: Bachelors or masters degree in computer science, Engineering, Mathematics, Statistics, or a related field. Minimum of 2 years of experience in NLP oriented data engineering or data science roles with a significant emphasis on working with LLM/Generative AI models. Robust understanding of NLP concepts, with hands-on experience in conversational AI and expertise in natural language understanding and generation. Proficiency in Python programming and familiarity with libraries and frameworks such as Pandas, NumPy, Scikit-learn, Tensor flow, transformers, PyTorch, and Keras. Solid experience in building, maintaining, and fine-tuning large language models, with a keen understanding of prompt engineering techniques. Strong grasp of data architecture, database design, data modeling principles, and the integration of AI models into scalable systems. Experience with JSON APIs and building RESTful & GRPC web services. Excellent analytical and problem-solving skills, capable of working independently and collaboratively in a team-oriented environment. Showcase proven expertise in working with deep learning frameworks and LLMs, with a strong foundation in prompt engineering, tokenization, embeddings, model optimization, and deployment strategies. Demonstrate previous involvement in creating user-centric products leveraging ML/AI technologies, with a good understanding of predictive modeling, meta-learning, and transfer learning. Excellent problem-solving and communication skills BS degree in Information Technology, Computer Science, or relevant field Additional Experience We Would Love to Have Experience with cloud technologies such as AWS is a plus. Background in design and development of Technology for Government Health and Human Services Experience with design and development of SaaS solutions.

ONLY 30 DAYS JOINERS Hello I hope you're doing well. We are currently hiring for an exciting opportunity with one of our top clients in the field of Generative AI . Based on your background, I believe this role could be a strong match for your expertise. Role Highlights: Location: Bangalore/Chennai/Kolkata/Pune/Hyderabad Experience Required: 1118 Years Notice Period: Maximum 30 Days CTC: As per market standards Mandatory Skills: Gen AI, LLM, ML/DL/NLP, RAG, LangChain, Mistral, Llama, Hugging Face, Python, TensorFlow, PyTorch, Django, Vector DB Preferred Skills: GCP/Azure/AWS, Databricks, MLOps (Kubeflow/Mlflow), Kubernetes, GitHub/Bitbucket, ADO, GPT-4 Key Responsibilities: Develop and implement advanced Generative AI models. Apply ML/DL algorithms for real-world applications across NLP and vision domains. Collaborate on data preprocessing, model training, and deployment. Drive innovation by staying current with industry trends and R&D in Gen AI. Ensure responsible AI practices and performance monitoring post-deployment. Mentor junior members and lead AI-driven project initiatives. If you're interested or know someone who fits this role, please share your updated resume and current CTC/Notice Period details. WhatsApp: 9871530393 Email: shweta.gupta@sspearhead.com Warm Regards SHWETA GUPTA || Senior Recruitment Specialist Spearhead Professional Services Call/ WhatsApp: 9871530393 LinkedIn Profile: shwetagupta1810

Greetings From Mind Pro Technologies Pvt ltd (www.mindprotech.com) Job Title : Data Scientist Work Location : Karur (Tamil Nadu) or Dharwad (Karnataka ) Np : 15days or Less JOB DESCRIPTION: Must have At least 4+ Years of experience in Python with Data Science. Must have worked on at least one Live project. Experience in relevant field such as Statistics, Computer Science or Applied Math or Operational Research. Must have Masters in (Maths/Statistics or Applied Mathematics/Machine Learning etc.) History of successfully performing customer implementations Strong customer facing skills, and previous consulting experience. Experience of handling high frequency streaming data for real time analysis and reporting. Familiarity with - Natural Language Processing, Statistical Analysis (distribution analysis, correlation, variance, deep learning. Experience in tools like AWS, IBM Watson is a plus. Experience with open source technologies is a must. Excellent communication Ability to lead & build strong teams Ability to work in an ambiguous environment Desired Skills and Experience Languages/Tools: Python/R. Approaches: Machine Learning Concepts: Supervised ANN, Bayesian, Gaussian, Vector Quantization, Logistic Model, Statistical, Predictive Modeling, Minimum Message Length, SVM, Random Forest, Ensembles, ANOVA, Decision Trees, Hidden Markov Models Unsupervised ANN, ARL, Clustering Hierarchical, Cluster Analysis Reinforcement Gen AI, LLM, LSTM, RNN, CNN, KNN Big Data (Good to have): Hadoop /Kafka / Storm / Spark streaming OS: Linux, Windows 32/64 bits. Note: should know supervised and unsupervised learning, semi-supervised learning, neural networks concepts, and how ML algorithms works with training and testing data. Experience on particular data set to train, test and roll-out for production use Tool sets : Python, R, MATLAB or any AI frame work, Neural network, Gen AI, LLM Contact Details: Recruitment Team Mindpro Technologies Pvt Ltd ( www.mindprotech.com ) +91-04324-240904 / +91-9600672304

Hi, Hope all doing well!! Here I am sharing Job opportunity for AI Developer to one of my client. If any one interested please share cvs at pravallika.chitikela@pisquaretech.com Job description Key Responsibilities: Design, develop, and deploy AI-powered agents and intelligent automation solutions. Work extensively with LLMs, NLP, ML/DL frameworks (e.g., TensorFlow, PyTorch, Hugging Face Transformers). Integrate AI solutions into enterprise systems and business processes using APIs and RPA tools (e.g., UiPath, Automation Anywhere). Fine-tune and optimize pre-trained AI models for specific use cases with a focus on scalability, accuracy, and performance . Collaborate with cross-functional teams including Product, Data Engineering, DevOps, and Business Stakeholders. Stay up to date with emerging AI trends and technologies and apply them to solve real-world problems. Build and maintain high-quality documentation and testing procedures for AI solutions. Required Skills and Qualifications: 6+years of proven experience in AI development and implementation. Strong hands-on experience with: LLMs (e.g., GPT, BERT, LLaMA) ML/DL frameworks such as TensorFlow, PyTorch, Scikit-learn NLP techniques like text classification, entity recognition, summarization RPA tools and their integration with AI Experience in designing and deploying AI-powered automation solutions . Deep understanding of model fine-tuning , prompt engineering, and inference optimization. Proficiency in programming languages such as Python (must-have), and optionally Java or C++. Strong problem-solving, communication, and cross-functional collaboration skills. Regards Pravallika

Role Overview: As the Company Secretary at NxtWave, you will occupy a pivotal leadership role, interfacing with the board of directors and senior management to ensure adherence to statutory obligations, corporate governance standards, and the legal frameworks underpinning our operations. Your expertise in corporate law, compliance, and governance, combined with your ability to provide high-level strategic insights, will be essential as we navigate the complexities of scaling a disruptive ed-tech organization. This role demands a meticulous, proactive professional capable of seamlessly balancing corporate secretarial duties with complex legal responsibilities. Key Responsibilities: Corporate Secretarial Governance: Compliance Management: Ensure NxtWave s compliance with the Companies Act, SEBI regulations, FEMA, and other corporate laws. Monitor and update policies in line with legal changes. Maintain a compliance calendar for timely filings and disclosures with ROC and MCA. Adhere to Secretarial Standards (ICSI). Governance and Board Support: Act as custodian of corporate governance, ensuring high standards of compliance, transparency, and responsibility. Organize Board, AGM, and committee meetings, preparing agendas, notices, resolutions, and minutes. Advise the Board on governance practices, emerging trends, and statutory duties. Facilitate communication with shareholders and regulators. Manage director appointments, resignations, and corporate actions, ensuring timely filings of reports and compliance certificates. Statutory Registers and Records: Maintain and update statutory registers (Members, Directors, Charges, Shareholding, etc.), ensuring records are audit-ready and in compliance. Corporate Restructuring: Advise on corporate restructuring, mergers, acquisitions, joint ventures, and business initiatives. Handle compliance, documentation, and regulatory approvals for company incorporation and structuring. FEMA Compliance International Operations: Ensure cross-border transactions and investments comply with FEMA and international standards. Manage compliance for inbound/outbound investments and advise on regulatory requirements for overseas operations and partnerships. Legal Regulatory Functions: Contract Management Negotiation: Lead the drafting, review, negotiation, and execution of contracts, MoUs, and agreements with external stakeholders (vendors, clients, contractors), ensuring protection of NxtWave s interests. Negotiate to minimize legal and financial risks, ensuring favorable outcomes. Conduct thorough legal reviews and risk analyses to safeguard the companys position. Mergers, Acquisitions, Strategic Investments: Lead due diligence, deal structuring, and manage legal complexities in mergers, acquisitions, and strategic investments. Provide support for investment rounds, ensuring compliance with venture capital/private equity regulations and assist with shareholder agreements. Oversee transaction documentation, including share purchase and asset purchase agreements. Dispute Resolution Litigation Management: Oversee legal disputes, litigation, and arbitration, ensuring effective resolution and minimal business disruption. Coordinate with external legal advisors to manage strategy and representation. Lead the resolution of commercial disputes through mediation, arbitration, or court proceedings as needed. Strategic Leadership Functions: Regulatory Affairs Strategic Insights: Update senior management and the Board on evolving laws, regulations, and industry trends, highlighting their impact on business operations. Team Leadership Cross-functional Collaboration: Lead legal and secretarial functions, mentor staff, and ensure alignment with compliance obligations. Collaborate with HR, Finance, Marketing, Operations, and Product teams to address legal and regulatory concerns, ensuring alignment with governance frameworks. Training Compliance Culture: Conduct legal compliance and corporate governance training for internal teams, promoting a culture of compliance across the organization. Desired Qualifications and Skills: Qualified Company Secretary (CS) from the Institute of Company Secretaries of India (ICSI). LLB/LLM from a reputable university, with a stellar academic track record. A minimum of 1+ years in a corporate secretarial and legal capacity, ideally within the technology, education, or startup ecosystems. Deep understanding of corporate governance frameworks, SEBI regulations, FEMA, labor laws, and intellectual property rights. A proactive and solutions-oriented mindset, capable of managing a diverse range of legal and compliance matters in a dynamic, fast-paced environment.

Job Category Sales Job Details About Salesforce We're Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too - driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good - you've come to the right place. Overview of the Role: We have an outstanding opportunity for an expert AI and Data Cloud Solutions Engineer to work with our trailblazing customers in crafting ground-breaking customer engagement roadmaps demonstrating the Salesforce applications, platform across the machine learning and LLM/GPT domains in India! The successful applicant will have a track record in driving business outcomes through technology solutions, with experience in engaging at the C-level with Business and Technology groups. Responsibilities: Primary pre-sales technical authority for all aspects of AI usage within the Salesforce product portfolio - existing Einstein ML based capabilities and new (2023) generative AI Majority of time (60%+) will be customer/external facing Evangelisation of Salesforce AI capabilities Assessing customer requirements and use cases and aligning to these capabilities Solution proposals, working with Architects and wider Solution Engineer (SE) teams Preferred Qualifications: expertise in an AI related subject (ML, deep learning, NLP etc.) Familiar with technologies such as OpenAI, Google Vertex, Amazon Sagemaker, Snowflake, Databricks etc Required Qualifications: Experience will be evaluated based on the core proficiencies of the role. 4+ years working directly in the commercial technology space with AI products and solutions. Data knowledge - Data science, Data lakes and warehouses, ETL, ELT, data quality AI knowledge - application of algorithms and models to solve business problems (ML, LLMs, GPT) 10+ years working in a sales, pre-sales, consulting or related function in a commercial software company Strong focus and experience in pre-sales or implementation is required. Experience in demonstrating Customer engagement solution, understand and drive use cases, customer journeys, ability to draw Day in life of across different LOBs. Business Analysis/ Business case/return on investment construction. Demonstrable experience in presenting and communicating complex concepts to large audiences A broad understanding of and ability to articulate the benefits of CRM, Sales, Service and Marketing cloud offerings Strong verbal and written communications skills with a focus on needs analysis, positioning, business justification, and closing techniques. Continuous learning demeanor with a demonstrated history of self enablement and advancement in both technology and behavioural areas. Building reference models/ideas/approaches for inclusion of GPT based products within wider Salesforce solution architectures, especially involving Data Cloud Alignment with customer security and privacy teams on trust capabilities and values of our solution(s) Presenting at multiple customer events from single account sessions through to major strategic events (World Tour, Dreamforce) Representing Salesforce at other events (subject to PM approval) Sales and SE organisation education and enablement e.g. roadmap - all roles across all product areas Bridge/primary contact point to product management Provide thought leadership in how large enterprise organisation can drive customer success through digital transformation. Ability to uncover the challenges and issues a business is facing by running successful and targeted discovery sessions and workshops. Be an innovator who can build new solutions using out-of-the-box thinking. Demonstrate business value of our AI solutions to business using solution presentations, demonstrations and prototypes. Build roadmaps that clearly articulate how partners can implement and accept solutions to move from current to future state. Deliver functional and technical responses to RFPs/RFIs. Work as an excellent teammate by chipping in, learning and sharing new knowledge. Demonstrate a conceptual knowledge of how to integrate cloud applications to existing business applications and technology. Lead multiple customer engagements concurrently. Be self-motivated, flexible, and take initiative.| Accommodations If you require assistance due to a disability applying for open positions please submit a request via this . Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Must have skills : - 6+ Years of Experience. - Statics, SQL, Big query, LLM, AI, Python - Work experience in the payments, ecommerce, or financial services industry is a plus . Responsibilities : - At least 6 years of experience analyzing large, multi-dimensional data sets and synthesizing insights into actionable solutions - Bachelor's/Master's degree in a quantitative field (such as Analytics, Statistics, Mathematics, Economics or Engineering) or equivalent field experience - Advanced SQL experience, preferable with Big Query analytics (Google Cloud) on Jupyter Notebooks and experience analyzing very large, complex, multi-dimensional data sets. - Understanding of statistics (e.g hypothesis testing, statistical inference, regression) and experience designing and evaluating complex experiments- - Ability to solve problems analytically and create actionable recommendations - Advanced ability to use reporting tools like Tableau and/or Excel to share analysis - Strong written and verbal communication skills with the ability to translate complex problems into simpler terms, expertise in stitching together findings to convey coherent insights and effectively influence both peers and senior leadership - Prior work experience in a product analytics space would be highly valued - A passion for problem-solving and comfort with ambiguity - Work experience in the payments, ecommerce, or financial services industry is a plus.

Company: Compunnel INC Job Location: Noida/Chandigarh Experience Required: 4+ years Mode of Work: 5 days work from the office Job Title: AI /ML Engineer We are seeking a talented and innovative Generative AI Engineer to join our team. The ideal candidate will have expertise in training and testing large language models (LLMs) for applications like speech-to-text and text-to-speech, with a focus on the Hindi language. This role requires proficiency in cutting-edge AI technologies, including transformers, GPU acceleration, and CUDA, along with strong Python programming skills. Key Responsibilities: Design, train, and fine-tune LLMs for speech-to-text and text-to-speech applications in Hindi. Develop and optimize transformer-based architectures for natural language processing (NLP) tasks. Leverage GPU acceleration and CUDA for efficient model training and deployment. Pre process and manage large datasets to ensure high-quality data for model training. Collaborate with cross-functional teams to integrate AI models into production systems. Conduct rigorous testing and evaluation of models to ensure accuracy, efficiency, and scalability. Stay updated with the latest advancements in generative AI and NLP technologies. Required Skills and Qualifications: Proficiency in Python and experience with deep learning frameworks like TensorFlow or PyTorch. Strong understanding of transformer architectures (e.g., BERT, GPT, T5). Hands-on experience with GPU acceleration and CUDA programming. Familiarity with Hindi language processing, including phonetics, grammar, and linguistic nuances. Experience in developing and deploying speech-to-text and text-to-speech systems. Knowledge of data preprocessing techniques for audio and text datasets. Strong problem-solving skills and ability to work in a collaborative environment. Preferred Qualifications: Experience with tools like Hugging Face Transformers, Kaldi, or Mozilla Deep Speech. Familiarity with cloud platforms (e.g., AWS, Azure, or Google Cloud) for AI model deployment. Understanding of end-to-end speech recognition and synthesis pipelines. A background in linguistics or computational linguistics is a plus. Please fill in all the essential details which are given below & attach your updated resume, and send it to ralish.sharma@compunnel.com 1. Total Experience: 2. Relevant Experience in Python : 3. Experience in Pytorch : 4. Experience in Tensorflow: 5. Experience in LLM : 6. Experience in RAG : 7. Experience in NLP : 8. Experience in GPT : 9. Experience in Bert: 10 . Experience in CUDA : 11. Current company : 12. Current Designation : 13. Highest Education : 14. Notice Period: 15. Current CTC: 16. Expected CTC: 17. Current Location: 18. Preferred Location: 19. Hometown: 20. Contact No: 21. If you have any offer from some other company, please mention the Offer amount and Offer Location: 22. Reason for looking for change: If the job description is suitable for you, please get in touch with me at the number below: 9910044363 .

Use GPT API or Llama to develop custom frameworks for investment management alternate data analysis Use Orchestration tools like N8n for document ingestion Setup on cloud or private using Coreweave Lead Machine Learning and UI Engineers Required Candidate profile 5+ years of development experience in .NET , Python and Azure 3+ years of experience in Data Science along with hands on GenAI and LLMs Experience with VectorDB, documentation ingestion workflows etc.

Lead AI Engineer: Nashik/Remote Experience: 7+ years in Software Engineering and 3+years in AI/ML development What you will do: Lead the end-to-end design, development, and deployment of AI/ML systems and generative AI applications. Build & fine-tune custom AI agents, chatbots, and automation tools. Architect scalable pipelines for LLMs optimized for performance and cost-efficiency. Implement advanced techniques like RAG, vector search, and hybrid architectures. Collaborate with cross-functional Product, Engineering, and Data teams. Establish MLOps infrastructure (monitoring, CI/CD, versioning, A/B testing). Mentor and inspire a high-performing AI team. Champion ethical, scalable, and secure AI development practices What you Bring 7+ years in software engineering or data science, with 3+ years in AI/ML development. 3+ years leading AI teams and managing end-to-end projects. Hands-on experience with LLMs like GPT, Claude, Mistral, Falcon including fine-tuning, RAG, and agent orchestration. Strong command over Python, PyTorch/TensorFlow, HuggingFace. Experience on AWS: SageMaker, Bedrock, Lambda, EC2, S3. Knowledge of vector databases: Pinecone, FAISS, or Weaviate. Systems-thinking mindset with great communication & leadership skills. Nice to Have Experience with voice AI, OCR, or computer vision. Familiarity with multi-agent systems, autonomous planning, or tool-using AI agents. Contributions to open-source projects or published research in NLP, LLMs, or GenAI. Experience with real-time personalization, streaming data, or recommendation systems. Education Required: B.Tech / M.Tech / Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field from a reputed institute. Why Join Us? Build AI systems that scale and make real-world impact across industries. Work in a high-autonomy, innovation-driven environment using cutting-edge tools. Join a team that thrives on collaboration, learning, and technical excellence. Be part of a mission-driven organization building ethical, secure, and transformative AI. Interested candidates please submit resumes on hr@insnapsys.com or call on 9156797671

We are looking for a Senior Generative AI Engineer who is passionate about cutting-edge AI innovation and has significant hands-on experience in building and deploying Generative AI models. In this role, you will be responsible for designing, fine-tuning, and optimizing large language models (LLMs), implementing innovative GenAI solutions, and contributing to the architecture of AI-driven platforms that deliver real business value. You will collaborate with cross-functional teams including data scientists, machine learning engineers, product managers, and cloud infrastructure teams to build scalable, reliable, and secure AI systems. This is a high-impact position where you will directly influence the AI roadmap and innovation strategy. Key Responsibilities : - Design, develop, and fine-tune state-of-the-art Generative AI and LLM models tailored for various business use cases. - Build, integrate, and optimize solutions using transformer-based architectures (e.g., GPT, BERT, T5, LLaMA, Mistral). - Apply techniques such as fine-tuning, prompt engineering, RLHF (Reinforcement Learning from Human Feedback), and knowledge distillation to improve model performance. - Work with vector databases (e.g., FAISS, Pinecone, Weaviate) for implementing retrieval-augmented generation (RAG) pipelines. - Develop and deploy embedding models and integrate them into LLM pipelines. - Collaborate with engineering and product teams to deploy scalable AI systems using MLOps practices and CI/CD pipelines. - Leverage LangChain, Hugging Face Transformers, OpenAI APIs, and similar frameworks/tools to accelerate development. - Optimize model performance across different environments (cloud/on-premise). - Develop end-to-end pipelines, from data preprocessing to real-time inference and monitoring. - Ensure high standards of software quality, including testing, version control, code reviews, and documentation. - Stay up to date with the latest research in Generative AI and translate breakthroughs into production-ready solutions. Required Skills & Qualifications : - Experience : 7+ years in AI/ML, data science, or software engineering; at least 3 - 4 years in Generative AI/LLMs. - Advanced Python programming skills, including familiarity with object-oriented design and software engineering best practices. - Deep expertise in PyTorch, TensorFlow, Transformers (Hugging Face), LangChain, and OpenAI or Anthropic APIs. - Experience in LLM fine-tuning, parameter-efficient tuning methods (LoRA, PEFT), RLHF, and model evaluation. - Experience with embeddings, vector stores (FAISS, Pinecone), semantic search, and RAG systems. - Hands-on experience with AWS, GCP, or Azure; knowledge of MLOps tools (SageMaker, Vertex AI, MLflow, Kubeflow) for training, deploying, and monitoring models. - Familiarity with structured/unstructured data handling and integrating AI systems with SQL/NoSQL databases. - Strong analytical thinking, problem-solving ability, and a keen interest in research and innovation.

Your Role & Responsibilities: Looking to make a significant impact This is your chance to become a key part of a dynamic team of talented professionals, leading the development and deployment of innovative, industry-leading, cloud-based AI services. We are seeking an experienced AI & Cloud Software Engineering Manager to join us. This leadership role focuses on guiding, mentoring, and managing a team of engineers in designing, developing, and deploying AI-based services. You will be instrumental in problem-solving, automating wide ranges of tasks, and interfacing with other teams, offering managers, and customers to solve complex problems. You will build a strong, agile, and modern team culture aimed at creating world-class development and deployment environments. Your efforts will ensure industry-leading user experiences for our customers. As an essential part of the leadership team, you will contribute to the cloud services architecture and design while mentoring the next generation of cloud engineers. Responsibilities : Lead, mentor, and manage a team of AI and cloud software engineers. Oversee the planning, execution, and delivery of AI-based services and cloud solutions. Provide technical direction and architectural oversight for AI and cloud projects. Interface with other teams, managers, and customers to align project goals and deliverables. Address and resolve technical challenges and roadblocks faced by the team. Monitor and evaluate team performance, providing feedback and development opportunities. Stay updated with the latest trends in AI and cloud technologies to encourage continuous improvement. Ensure the delivery of industry-leading user experiences for customers. Allocate resources effectively to meet project and organizational goals. Maintain comprehensive documentation of projects and processes, and report progress to senior management. Required education Bachelor's Degree Required technical and professional expertise Minimum 12-15 years of experience as Full Stack Developer with a focus on AI projects Experience with AI and machine learning frameworks such as scikit-learn, TensorFlow, PyTorch, LLMs, Generative AI. Familiarity with AI model deployment and integration. Solid understanding of backend technologies, including server-side languages (Node.js, Python, Java, etc.) and databases (Cassandra, PostgreSQL, etc.). Understanding and experience with RESTful APIs, Java/J2EE, Kafka & GitHub. Strong experience with Cloud Technologies, Kubernetes based microservices architecture, Kafka, Object Storage, Cassandra database and docker container technologies. Knowledge on IBM Cloud Technologies will be an added advantage. At least 6 years of hands-on development experience building applications with one or more of the following: Java, Spring, Liberty, Node.js, Express.js, Golang, NoSQL DB, Redis, distributed caches, containers etc., At least 3 years of experience in building and operating highly secured, distributed cloud services with one or more of the following: IBM Cloud, AWS, Azure, SRE, CI/CD, Docker, Container orchestration, performance testing, etc., At least 3 years of experience in web technologies: HTTP, REST, JSON, HTML, Ajax, JavaScript etc., Solid understanding of the micro-services architecture and modern cloud programming practices. Strong ability to design a clean, developer-friendly API. Passionate about constant, continuous learning and applying new technologies as well as mentoring others. Keen troubleshooting skills and strong verbal/written communication skills. Preferred technical and professional experience Preferred Skills: Experience in using messaging brokers like RabbitMQ, Kafka etc. Operating Systems (such as Red Hat, Ubuntu, etc.) Knowledge of network protocols such as TCP/IP, HTTP, etc. Experience and working knowledge of version Control systems like Github and build tools like Maven/Gradle Ability to learn and apply new technologies quickly Experience in working on a SaaS application with high industry standard CI/CD, and development cycle processes Strong sense of ownership of deliverables UI test automation skills - Selenium and/or Puppeteer Beyond the requirements, candidates should be passionate about in the role: Continuous learning and ability to adapt to change Working across global teams and collaborating across teams and organization boundaries Finding innovative ways to solve complex problems with cutting edge technologies.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. AI Engineer is tasked with the design, development, and deployment of advanced generative AI models and systems. This position requires close collaboration with data scientists, product managers, and other stakeholders to integrate generative AI solutions into existing products and develop new innovative features. Proficiency in the Agentic AI framework is vital for coordinating multiple autonomous AI agents to accomplish complex tasks. Primary Responsibilities: Implement Generative AI Models: Develop sophisticated generative AI algorithms and models to create new data samples, patterns, or content based on existing data or inputs Data Processing: Collaborate with stakeholders to preprocess, analyze, and interpret extensive datasets Model Deployment: Deploy generative AI models into production environments, ensuring scalability and robustness Optimization: Conduct model testing, validation, and optimization to enhance performance Integration: Work with cross-functional teams to seamlessly integrate generative AI solutions into products Research: Stay current with the latest advancements in generative AI technologies and practices Agentic AI Framework: Utilize the Agentic AI framework to coordinate multiple AI agents for the completion of complex tasks Mentorship: Provide mentorship to junior team members and offer technical guidance Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field 5+ years of experience in software engineering with a focus on AI/ML Experience with data preprocessing and analysis Knowledge of the Agentic AI framework and its application in AI systems Proficiency in machine learning frameworks such as TensorFlow and PyTorch Solid programming skills in Python, Java, or C++ Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) Proven excellent problem-solving abilities and algorithmic thinking Proven solid communication and teamwork skills Preferred Qualifications: Experience with data processing Knowledge of version control systems like Git Understanding of Generative AI, associated technologies and frameworks like RAG, agents etc.