1456 Generative Ai Jobs - Page 50

4+ years of QA experience - Automation, Python experience is required. Gen AI experience SQL and Database exposure Mandatory.

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

Position overview Work in an innovative and fast paced AI application development team to conceptualize and execute projects to leverage the power of AI/ML and analytics. The work will be related to producing business outcomes for Cloud and Cybersecurity products and services of Novamesh, a wholly owned subsidiary of Tata Communications Ltd. Success in this role requires a mix of data science skills, appreciation of the business, and ability to work across teams. A special focus area of this role would be to identify and execute ideas for creating monetizable product differentiators by working with Domain Experts from individual product teams and acquire domain skills in the process. Detailed job description Develop, Test, and Deploy ML/AI models for various products 10 to 12 Years of industry experience with demonstratable outcomes in field of Data Science Perform data preprocessing, feature engineering and ML/DL model evaluation Optimize and fine-tune models for performance and scalability Good understanding of Statistical, ML, AI models Good understanding of NLP concepts and projects involving entity recognition, text classification, and language modelling like GPT Build and refine RAG models to improve information retrieval and answer generation. Integrate RAG methods into existing applications to enhance data accessibility and user experience. Work closely with cross-functional teams including software engineers, product managers, and domain experts. Document processes, methodologies, and model development for internal and external stakeholders. Go-getter attitude and will to Make it happen" Qualification and Skills Bachelor or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field from reputed institutions. Strong knowledge of probability and statistics. Expertise in machine learning and deep learning skills Hand on experience with GenAI, LLMs and SLMs Strong programming skills Python, PyTorch, Sci-kit, NumPy, Gen AI tools like langchain/llamaIndex , OpenAI SQL, flat file DB, Datalakes, data stores, data frames (Pandas, Cudf etc.) Working knowledge of MLOPs principles and implementing projects with Big Data in batch and streaming mode. Good knowledge of Data Engineering and working knowledge of the same Excellent problem-solving skills and a proactive attitude. Excellent communication skills and teamwork abilities

Assistant Manager AI / Gen AI Data and Analytics team is a multi-disciplinary technology team delivering client projects and solutions across Data Mining & Management, Visualization, Business Analytics, Automation and Statistical Insights and AI/GenAI. The assignments cover a wide range of countries and industry sectors The opportunity We are looking for an assistant manager - AI/GenAI, proficient in Artificial Intelligence, Machine Learning, deep learning and LLM models for Generative AI, text analytics and Python Programming; will be responsible for developing and delivering industry sectors (Financial services; Consumer, product & Retail; Healthcare & wellness; Manufacturing; Supply chain; telecom; Real Estate etc.) specific solutions which will be used to implement the EY SaT mergers and acquisition methodologies. Your key responsibilities Develop, review, and implement Solutions applying AI, Machine Learning, Deep Learning, and develop APIs using Python. Having relevant understanding of Big Data and Visualization would be one-upping. Lead the development and implementation of Generative AI applications using both open source (Llama, BERT, Dolly etc.) and closed source (Open AI GPT models, MS Azure Cognitive Services, Googles Palm, Cohere etc.) Large Language Models (LLMS). Extensively work with advanced models such as GPT , Llama, BERT, RAG and Graph RAG for natural language processing , and creative content generation using contextual information. Design and optimize Agentic RAG solutions leveraging Vector databases for efficient storage and retrieval of contextual data for LLMs. Understand Business and Sectors, ability to identify the whitespaces and opportunities for analytics application. Work and manage large to mid-size projects, and ensure smooth service delivery on assigned products, engagements and/or geographies. Work with project managers to study resource needs and gaps and devise alternative ways forward. Provide expert reviews for all projects within the assigned subject. Ability to communicate with cross functional/competencies teams. Go to Market / Stakeholder Management. . Skills and attributes for success Able to work creatively and systematically in a time-limited, problem-solving environment Loyal and reliable with high ethical standards Flexible, curious and creative, open for new things and able to propose innovative ideas Good interpersonal skills Team player, open, pleasure to work with and positive in a group dynamic Intercultural intelligence and experience of working in more than one country and/or multi-cultural teams with distributed delivery experience Ability to manage multiple priorities simultaneously to meet tight deadlines and drive projects to completion with minimal supervision To qualify for the role, you must have Experience of guiding teams on Projects focusing on AI/Data Science and Communicating results to clients Familiar in implementing solutions in Azure Cloud Framework Excellent Presentation Skills 5- 12 years of relevant work experience in developing and implementing Agentic GenAI/AI, Machine Learning Models- experience of deployment in Azure is preferred Experience in application of statistical techniques like Linear and Non-Linear Regression/classification/optimization, Forecasting and Text analytics. Familiarity with deep learning and machine learning algorithms and the use of popular AI/ML frameworks Minimum 4 years of experience in working with NLG, LLM, DL Techniques Relevant understanding of Deep Learning and neural network techniques Expertise in implementing applications using open source and proprietary LLM models Proficient in using Langchain-type orchestrators or similar Generative AI workflow management tools Minimum of 5-6 years of programming in Python Experience with the software development life cycle (SDLC) and principles of product development Willingness to mentor team members Solid thoughtfulness, technical and problem-solving skills Excellent written and verbal communication skills Ideally, you’ll also have Ability to think strategically/end-to-end with result-oriented mindset Ability to build rapport within the firm and win the trust of clients Willingness to travel extensively and to work on client sites / practice office locations What we look for A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-prominent, multi-disciplinary team of 3500 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY SaT practices globally with prominent businesses across a range of industries What we offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success, as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

About this role: Wells Fargo is seeking a Senior Lead business execution consultant In this role, you will: Act as a Business Execution advisor to leadership to drive performance and initiatives, and develop and implement information delivery or presentations to key stakeholders and senior management Lead the strategy and resolution of highly complex and unique challenges related to Business Execution that require solid analytical skills, extensive knowledge of Business Execution, and understanding of business, delivering longer term and large scale solutions Provide vision, direction, and expertise to senior leadership for implementing innovative and significant business solutions that are large scale and cross organizational Lead team meetings or steering committee to facilitate decision making and support implementation of recommendations and plans Strategically engage with all levels of professionals and managers across multiple lines of businesses and serve as an experienced advisor to the leadership Provide direction to a cross functional team using business expertise Required Qualifications: 7+ years of Business Execution, Implementation, or Strategic Planning experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Bachelors or Masters degree in Computer Science, Information Technology, Business Administration, or a related field. Proven experience in innovation roles within the banking or financial services industry, preferably within a global capability center (GCC) or captive unit. Strong understanding of banking processes and the financial services industry. Demonstrated expertise in emerging technologies, including generative AI, agentic AI, Data Engineering, Data Mining & Visualization, machine learning, NLP, and intelligent automation. Exceptional research and analytical skills, with the ability to translate complex data into actionable insights. Excellent project management skills, with a track record of successfully leading innovation projects. Outstanding communication and presentation skills, with experience in content creation and delivering innovation roadshows. Ability to work collaboratively in a cross-functional team environment and manage relationships with diverse stakeholders. Job Expectations: We are seeking a dynamic and forward-thinking Innovation and Incubation specialist with hands on experience to join our team. In this role, you will be instrumental in identifying and researching emerging technologies, developing innovative solutions, and leading industry research & Market study to identify platforms which help in digital transformation journey within bank. Your expertise in generative AI, intelligent automation, and market analysis will be crucial in shaping the future of our banking operations. Emerging Technology Research: Stay abreast of the latest technological trends, with a focus on generative AI, agentic AI, fintech, Data Engineering, Data Mining & Visualization, machine learning, NLP/NLG, and intelligent automation, to identify opportunities for innovation within banking processes. Solution and Platform Identification: Evaluate and recommend new technologies, platforms, and solutions that align with the banks strategic objectives and have the potential to enhance operational efficiency and customer experience. Market and Industry Analysis: Conduct comprehensive market research and industry analysis to understand competitive landscapes, identify market opportunities, and inform strategic decision-making. Process Understanding and Improvement: Analyze existing banking processes to identify areas for improvement and develop innovative solutions that streamline operations and enhance service delivery. Innovation Roadshows and Content Creation: Develop and deliver engaging presentations, newsletters, and other content to communicate innovation initiatives and foster a culture of innovation within the organization. Proof of Concept Development: Lead the development and execution of proof-of-concept projects to validate the feasibility and value of new technologies and solutions. Project Management: Oversee innovation projects from inception to completion, ensuring timely delivery, effective communication, and alignment with strategic goals.

Responsibilities: * Develop generative AI models using Python & Large Language Models. * Optimize ML algorithms for performance and accuracy. * Collaborate with cross-functional teams on project delivery.

Were looking for a skilled Generative AI Engineer to build and deploy AI-powered applications using OpenAI models and Azure Cloud services . The ideal candidate will have experience in Python , RAG architectures , and OCR integration . Key Responsibilities: Develop GenAI apps using OpenAI APIs (ChatGPT, GPT-4, Embeddings). Deploy and manage solutions on Azure (App Services, Azure Functions, Cognitive Services). Build RAG pipelines with vector databases (e.g., Azure Cognitive Search). Integrate OCR using tools like Azure Vision or Tesseract . Automate workflows using Python and Azure SDKs. Ensure performance, scalability, and security in production environments. Skills Required: OpenAI (ChatGPT, GPT-4, Embeddings) Azure Cloud (Azure OpenAI, Azure Functions, Cognitive Services) Python (LangChain, FastAPI, SDKs) RAG frameworks & vector databases OCR tools (Tesseract, Azure OCR) Docker, Git, CI/CD pipelines Preferred: Experience with LangChain or LLM orchestration Familiarity with Azure DevOps or GitHub Actions

About this role: Wells Fargo is seeking a Software Engineer. In this role, you will: Participate in low to moderately complex initiatives and projects associated with the technology domain, including installation, upgrades, and deployment efforts Identify opportunities for service quality and availability improvements within the technology domain environment Design, code, test, debug, and document for low to moderately complex projects and programs associated with technology domain, including upgrades and deployments Review and analyze technical assignments or challenges that are related to low to medium risk deliverables and that require research, evaluation, and selection of alternative technology domains Present recommendations for resolving issues or may escalate issues as needed to meet established service level agreements Exercise some independent judgment while also developing understanding of given technology domain in reference to security and compliance requirements Provide information to technology colleagues, internal partners, and stakeholders Required Qualifications: 2+ years of software engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Work as a Generative AI engineer developing enterprise-scale AI applications Design, implement, and optimize LLM-based solutions using state-of-the-art frameworks Lead Gen AI initiatives focused on developing intelligent agents and conversational systems Design and build robust LLM interfaces and orchestration pipelines Develop evaluation frameworks to measure and improve model performance Implement prompt engineering techniques to optimize model outputs Integrate Gen AI capabilities with existing enterprise applications Build and maintain frontend interfaces for AI applications Contribute to large scale planning of AI strategies and roadmaps Lead projects and act as an escalation point, provide guidance and direction to less experienced staff Strong proficiency in Python/Java and LLM orchestration frameworks (LangChain, LangGraph) Basic Knowledge of model context protocols, RAG architectures, and embedding techniques Experience with model evaluation frameworks and metrics for LLM performance Proficiency in frontend development with React.js for AI applications Experience with UI/UX design patterns specific to AI interfaces Experience with vector databases and efficient retrieval methods Knowledge of prompt engineering techniques and best practices Experience with containerization and microservices architecture Strong understanding of semantic search and document retrieval systems Working knowledge of both structured and unstructured data processing Experience with version control using GitHub and CI/CD pipelines Experience working with globally distributed teams in Agile scrums Job Expectations: Understanding of enterprise use cases for Generative AI Knowledge of responsible AI practices and ethical considerations Ability to optimize AI solutions for performance and cost Well versed in MLOps concepts for LLM applications Staying current with rapidly evolving Gen AI technologies and best practices Experience implementing security best practices for AI applications

About this role: Wells Fargo is seeking a Software Engineer. In this role, you will: Participate in low to moderately complex initiatives and projects associated with the technology domain, including installation, upgrades, and deployment efforts Identify opportunities for service quality and availability improvements within the technology domain environment Design, code, test, debug, and document for low to moderately complex projects and programs associated with technology domain, including upgrades and deployments Review and analyze technical assignments or challenges that are related to low to medium risk deliverables and that require research, evaluation, and selection of alternative technology domains Present recommendations for resolving issues or may escalate issues as needed to meet established service level agreements Exercise some independent judgment while also developing understanding of given technology domain in reference to security and compliance requirements Provide information to technology colleagues, internal partners, and stakeholders Required Qualifications: 2+ years of software engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Work as a Generative AI engineer developing enterprise-scale AI applications Design, implement, and optimize LLM-based solutions using state-of-the-art frameworks Lead Gen AI initiatives focused on developing intelligent agents and conversational systems Design and build robust LLM interfaces and orchestration pipelines Develop evaluation frameworks to measure and improve model performance Implement prompt engineering techniques to optimize model outputs Integrate Gen AI capabilities with existing enterprise applications Build and maintain frontend interfaces for AI applications Strong proficiency in Python/Java and LLM orchestration frameworks (LangChain, LangGraph) Basic Knowledge of model context protocols, RAG architectures, and embedding techniques Experience with model evaluation frameworks and metrics for LLM performance Proficiency in frontend development with React.js for AI applications Experience with UI/UX design patterns specific to AI interfaces Experience with vector databases and efficient retrieval methods Knowledge of prompt engineering techniques and best practices Experience with containerization and microservices architecture Strong understanding of semantic search and document retrieval systems Working knowledge of both structured and unstructured data processing Experience with version control using GitHub and CI/CD pipelines Experience working with globally distributed teams in Agile scrums Job Expectations: Understanding of enterprise use cases for Generative AI Knowledge of responsible AI practices and ethical considerations Ability to optimize AI solutions for performance and cost Well versed in MLOps concepts for LLM applications Staying current with rapidly evolving Gen AI technologies and best practices Experience implementing security best practices for AI applications

Job Title - S&C Global Network - AI - Supply Chain Analytics Management Level:Constant/ Manager Location: Gurugram, DDC1A, NonSTPI Must-have skills: Supply Chain Analytics Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary: This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Mandatory Skills: Must have: Good understanding of overall supply chain planning and operations of any of the industries (CPG, Life sciences, Pharma, Industrial, Resources) and connect it with analytics solutions. Deep understanding of advanced analytics solutions – descriptive, diagnostic, predictive, prescriptive, and generative and hands-on experience in building models using machine learning, deep learning, Gen AI models. Strong experience in any one or two of the supply chain functions – demand planning, inventory planning, S&OP, logistics planning, etc. Hands-on programming experience with any of the analytics tools, data bases and visualization tools and platforms (Python, PySpark, SQL, Bigdata tools, PowerBI/ Tableau). Strong written and oral communication skills. Good to have: SME in one or more of the supply chain functions Visualization packages like Tableau/ Power BI Exposure to tools like BY/ Anaplan/ o9/ Kinaxis /SAP IBP Experience in live data streaming and data ingestion tools. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. The ideal candidate shall be, An expert in Supply chain operations domain and Data Science skills. Responsible to solution architect, design, build, deploy, deliver, and monitor advanced analytics models for supply chain planning areas such as demand, supply, procurement, inventory, spares, etc. planning. Interface with clients to understand engineering/business problems and translate it into analytics problems that shall deliver insights for action and operational improvements. Take initiatives and collaborate with different Accenture internal teams and support driving sales. Provide innovation and thought leadership support to build key capability areas such as tools & technology, new solutions in supply chain planning and assets & accelerators development.

About the Role We are looking for a Motion Graphics Artist & AI-First Video Editor who can seamlessly blend traditional motion graphics skills with cutting-edge AI content generation. Youll work closely with the creative team to conceptualise, design, and produce high-quality videos and visuals while actively leveraging Gen AI tools to accelerate and elevate outputs. This role is perfect for someone who is excited about the future of creative workflows someone equally comfortable with After Effects and Midjourney, Premiere Pro and Kling AI. Key Responsibilities Create engaging motion graphics, animated visuals, and edited videos using Adobe After Effects, Premiere Pro, and related tools. Enhance and manipulate images using Adobe Photoshop and Illustrator as needed. Conceptualise, script, and storyboard ideas when required. Edit raw footage into polished, professional videos optimised for various platforms. Use AI image generation tools (e.g., Midjourney) and AI video generation tools (e.g., RunwayML, Luma AI, Kling AI) to create innovative content. Collaborate with writers, designers, and other team members to bring projects to life. Stay on top of trends in AI content generation, motion design, and digital storytelling. Ideal Candidate Profile 24 years of hands-on experience in motion graphics, video editing, and creative visualisation. Proficient in: o Adobe After Effects (7/10) o Adobe Photoshop (8/10) o Adobe Illustrator (3/10) o Adobe Premiere Pro (5/10) Comfortable and familiar with: o Midjourney, RunwayML, Luma AI (basic to intermediate level) o New Gen AI platforms like Kling AI, ChatGPT (for scripting/ideation), Pika Labs, or equivalents. Strong grasp of visual storytelling and an ability to adapt styles based on project needs. Ability to write or refine scripts to align with visual narratives (good written English is a must). Strong attention to detail and a creative mindset. Ability to work across multiple projects simultaneously in a fast-paced environment. Hunger to experiment and push creative boundaries with new AI tools. Hiring Process Shortlisted candidates will be assigned a small task involving Gen AI tools to assess their creative approach, AI adaptability, and execution quality. Followed by a technical interview.

3+ YOE experience in Gen AI is mandatory. Should be open for 5 Days Work From Office General Shift timings Candidates from Noida/Greater Noida who are comfortable to work in general shifts with Work From Office only apply. "KASHIF@D2NSOLUTIONS.COM"

Job Summary: We are looking for a highly skilled and innovative Python Developer with strong experience in Generative AI to design, develop, and deploy intelligent applications that leverage cutting-edge AI/ML technologies. The ideal candidate should be proficient in Python programming and have hands-on experience with modern Gen AI tools and frameworks (like GPT, LLMs, Diffusion Models). You will collaborate closely with cross-functional teams to deliver robust, scalable, and intelligent solutions. Key Responsibilities: Develop and maintain AI-powered applications using Python and modern Gen AI tools (OpenAI, Hugging Face, LangChain, etc.). Design and implement intelligent agents, data pipelines, and LLM-based applications. Fine-tune and deploy large language models (LLMs) for specific business use cases. Collaborate with data scientists, product managers, and designers to integrate AI capabilities into existing and new systems. Build RESTful APIs and backend services that leverage Gen AI components. Optimize application performance and manage infrastructure on cloud platforms (AWS, GCP, or Azure). Ensure code quality, security, and best practices in AI development. Stay current with advances in AI/ML and contribute to innovation within the team. Required Qualifications: Bachelors or Master’s degree in Computer Science, AI/ML, or related field from a Tier 1 institution. 6+ years of software development experience, with strong proficiency in Python. Hands-on experience with LLMs, prompt engineering, and fine-tuning. Experience with frameworks like Hugging Face Transformers, LangChain, or OpenAI API. Solid understanding of data structures, algorithms, and API development. Familiarity with ML pipelines, model deployment, and vector databases (like FAISS, Pinecone, or Weaviate). Knowledge of cloud platforms and containerization (Docker, Kubernetes). Ability to work in agile, fast-paced environments and drive projects from concept to production. Preferred Qualifications: Contributions to open-source Gen AI or ML projects. Experience with RAG (Retrieval-Augmented Generation) pipelines. Knowledge of NLP, computer vision, or multi-modal AI systems. Familiarity with MLOps and AI observability tools. Published research papers or blogs on AI/ML topics.

Software Development Lead Roles & Responsibilities Lead complex software projects from conception to deployment. Manage software delivery scope, risk, and timeline. Rapid prototyping expertise, translating concepts into working code quickly. Provide technical guidance and mentorship to junior developers. Contribute to both front-end and back-end development using cloud technology. Develop innovative solutions using Generative AI technologies. Conduct code reviews to ensure quality and adherence to best practices. Create and maintain software documentation on architecture, design, deployment, disaster recovery, and operations. Stay updated with industry trends and advancements. Collaborate with product teams, business teams, and stakeholders. Design, develop, implement, and maintain applications with configurations, custom reports, interfaces, and enhancements. Analyze and translate technical requirements into software architecture specifications. Implement unit tests, integration tests, and other testing strategies for software quality assurance. Integrate applications with external systems for seamless data flow and functionality. Provide ongoing support and maintenance, ensuring smooth system operations. Improve reliability, scalability, and performance of applications. Develop and maintain monitoring tools and dashboards for system health tracking. Respond to incidents, conducting root cause analysis and implementing preventive measures. Implement security measures to protect against unauthorized access and cybersecurity threats. Basic Qualifications Doctorate degree OR Master's degree with 4-6 years of Computer Science, IT, or related field experience OR Bachelor's degree with 6-8 years of Computer Science, IT, or related field experience OR Diploma with 10-12 years of Computer Science, IT, or related field experience Must-Have Skills Strong business acumen with deep understanding of pharma regulations and compliance. Expert knowledge of submission publishing systems (Lorenz's docuBridge, Disclose from Citeline). Familiarity with ClinicalTrials.gov and EudraCT. Experience with Regulatory Veeva Vault. Proven success in managing technology initiatives, driving innovation and talent development. Exceptional collaboration and communication skills, with ability to manage multiple priorities in a fast-paced environment. Expertise in technology standard practices (Scaled Agile (SAFe), ITIL). Strong knowledge of information systems and network technologies. Good-to-Have Skills Extensive experience with eCTD specifications and highly regulated (GxP) systems. Leadership experience in pharmaceutical or technology organizations. Strong understanding of software development lifecycle for GxP Systems. Experience in Scaled Agile Framework (SAFe) adoption. Analytical and critical-thinking skills for effective decision-making. Ability to manage projects in dynamic, fast-paced environments. Established business partnerships and IS governance expertise. Broad knowledge of key IS domains and layers. Professional Certifications (Preferred) ITIL Certification (preferred). Scaled Agile Framework (SAFe) for Teams (preferred). Veeva Vault platform Certification (preferred). Soft Skills Excellent analytical and problem-solving abilities. Strong verbal and written communication skills. Ability to work effectively with global, virtual teams. High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented focus on achieving collective goals. Strong presentation and public speaking skills.

Job Description Join our team as a Generative AI Architect in the AI Practice! We are looking for a visionary individual to lead the design, development, and deployment of cutting-edge Generative AI solutions, driving business value across our products and services. Key Responsibilities: - Lead generative AI initiatives in text, ASR, TTS & STT generation and develop AI pipelines and ML models. - Design scalable AI systems using state-of-the-art generative models like LLMs and diffusion models. - Collaborate with cross-functional teams to integrate generative AI into business workflows. - Define best practices for model lifecycle management, focusing on data preparation, training, evaluation, deployment, and monitoring. - Guide ethical AI development with a focus on fairness, interpretability, and compliance. Qualifications: - Bachelors or Masters degree in Computer Science or related field. - 7+ years of AI/ML development experience, with 2+ years in generative AI. - Hands-on experience with large language models and diffusion models. - Strong proficiency in Python and ML frameworks. - Experience with Azure, GCP, and containerization. - Familiarity with AI architecture patterns and model fine-tuning. - Knowledge of data privacy laws and AI ethics principles. Preferred: - Experience deploying GenAI applications in production. - Knowledge of vector databases and retrieval-augmented generation. - Experience with CI/CD pipelines for ML. Skills : - Generative AI,Large Language Models (LLMs),Diffusion Models,Machine Learning (ML),Artificial Intelligence (AI),Natural Language Processing (NLP),Python Programming,ML Frameworks (e.g., TensorFlow, PyTorch, Hugging Face),Azure,GCP,Ethical AI,Responsible AI,Vector Databases, RAG

Senior Software Engineer/AI Engineer What You Will Do Let's do this. Let's change the world. We are looking for a creative and technically skilled Senior Software Engineer/AI Engineer to design and build cutting-edge AI-powered search solutions for the pharmaceutical industry. In this role, you'll develop intelligent systems that surface the most relevant insights from clinical trials, scientific literature, regulatory documents, and internal knowledge assets, empowering researchers, clinicians, and decision-makers with faster, smarter access to the right information. Responsibilities Design and implement search algorithms using NLP, machine learning, semantic understanding, and deep learning models. Build and fine-tune models for information retrieval, query expansion, document ranking, summarization, and Q&A systems. Integrate LLMs (GPT, BERT, Bio BERT) for semantic and generative search. Train and evaluate custom models for biomedical named entity recognition, relevance ranking, and similarity search. Deploy vector-based search systems using embeddings and vector databases. Work with platform engineers to integrate AI models into scalable cloud infrastructures (AWS, Azure, GCP). Package and deploy search services using containerization (Docker, Kubernetes) and modern MLOps pipelines. Preprocess and structure unstructured content (clinical trial reports, research articles, regulatory documents). Apply knowledge graphs, taxonomies, and ontologies (MeSH, UMLS, SNOMED) to enhance search results. Develop recommendation systems models, utilizing AI/ML infrastructure and contributing to model optimization and data processing. Implement Generative AI solutions for enriching search content, summarization, deduplication, and metadata quality enhancement. Develop and maintain deep learning models for data quality checks, visual similarity scoring, and content tagging. Research current and emerging technologies to propose improvements. Utilize ML infrastructure for data preparation, optimization, and performance enhancements. Basic Qualifications Degree in Computer Science & Engineering preferred with 6-8 years of software development experience. 2-4 years of experience building AI/ML models, ideally in search, NLP, or biomedical domains. Proficiency in Python and frameworks such as PyTorch, TensorFlow, Hugging Face Transformers. Experience with search technologies (Elasticsearch, OpenSearch, vector search tools). Solid understanding of NLP techniques (embeddings, transformers, entity recognition, text classification). Hands-on experience with AI models, GCP Search Engines, GCP Cloud services. Proficiency in AI/ML programming languages (Python, Java Crawlers, JavaScript, SQL/NoSQL, Databricks/RDS, Data Engineering, S3 Buckets, DynamoDB). Strong problem-solving and analytical skills. Ability to learn quickly and excellent communication and interpersonal skills. Preferred Qualifications Experience in AI/ML, Java, Python. Proficiency with FastAPI, GraphQL. Strong understanding of design patterns, data structures, data modeling, data algorithms. Experience with AWS/Azure platforms for building and deploying code. Knowledge of Postgres SQL/MongoDB SQL database, vector databases for large language models, Databricks or RDS, S3 Buckets. Deep expertise in LLMs, Generative AI, and their use in enterprise search. Experience with Google Cloud Search, Google Cloud Storage. Familiarity with LangChain, LlamaIndex frameworks for language models. Hands-on experience with prompt engineering and model fine-tuning. NLP knowledge for text analysis and sentiment analysis. Experience in Agile software development methodologies. Strong background in End-to-End testing within a Test-Driven Development approach. Good-to-Have Skills Willingness to work on Full-Stack Applications. Exposure to MLOps tools (MLflow, Airflow, SageMaker). Soft Skills Excellent analytical and troubleshooting skills. Strong verbal and written communication skills. Ability to work effectively with global, remote teams. High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented mindset with a focus on achieving team goals. Strong presentation and public speaking skills.

If you feel like you're part of something bigger, it's because you are. At Amgen, our shared missionto serve patientsdrives all that we do. It is key to our becoming one of the world's leading biotechnology companies. We are global collaborators who achieve togetherresearching, manufacturing, and deliver ever-better products that reach over 10 million patients worldwide. It's time for a career you can be proud of. What you will do Let's do this. Let's change the world. In this vital role we are seeking a strategic and hands-on Specialist Software Engineer / AI Engineer Search to lead the design, development, and deployment of AI-powered search and knowledge discovery solutions across our pharmaceutical enterprise. In this role, you'll manage a team of engineers and work closely with data scientists, oncologists, and domain experts to build intelligent systems that help users across R&D, medical, and commercial functions find relevant, actionable information quickly and accurately. Architect and lead the development of scalable, intelligent search systems leveraging NLP, embeddings, LLMs, and vector search Own the end-to-end lifecycle of search solutions, from ingestion and indexing to ranking, relevancy tuning, and UI integration Build systems that surface scientific literature, clinical trial data, regulatory content, and real-world evidence using semantic and contextual search Integrate AI models that improve search precision, query understanding, and result summarization (e.g., generative answers via LLMs) Partner with platform teams to deploy search solutions on scalable infrastructure (e.g., Kubernetes, cloud-native services, Databricks, Snowflake) Experience in Generative AI on Search Engines Experience in integrating Generative AI capabilities and Vision Models to enrich content quality and user engagement Building and owning the next generation of content knowledge platforms and other algorithms/systems that create high quality and unique experiences. Designing and implementing advanced AI Models for entity matching, data duplication Experience Generative AI tasks such as content summarization, deduping and metadata quality. Researching and developing advanced AI algorithms, including Vision Models for visual content analysis Implementing KPI measurement frameworks to evaluate the quality and performance of delivered models, including those utilizing Generative AI Developing and maintaining Deep Learning models for data quality checks, visual similarity scoring, and content tagging Continually researching current and emerging technologies and proposing changes where needed Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements Manage and mentor a cross-functional engineering team focused on AI, ML, and search infrastructure Foster a collaborative, high-performance engineering culture with a focus on innovation and delivery Work with domain experts, data stewards, oncologists, and product managers to align search capabilities with business and scientific need Basic Qualifications: Degree in computer science & engineering preferred with 912 years of software development experience Proficient in AI Model, NLM, AI, Python, Elasticsearch OR Solr OR OpenSearch, GraphQL, No SQL, Cloud CI/CD build pipelines, API Proven experience building search systems with technologies like Elasticsearch, Solr, OpenSearch, or vector DBs (e.g., Pinecone, FAISS) Hands-on experience with various AI models, GCP Search Engines, GCP Cloud services Strong understanding of NLP, embeddings, transformers, and LLM-based search applications Proficient in programming language AI/ML, Python, GraphQL, Java Crawlers, Java Script, SQL/NoSQL, Databricks/RDS, Data engineering, S3 Buckets, dynamo DB Strong problem solving, analytical skills; Ability to learn quickly; Excellent communication and interpersonal skills Experience deploying ML services and search infrastructure in cloud environments (AWS, Azure, or GCP) Preferred Qualifications: Experience in AI/ML, Java, Rest API, Python Proficient in Databricks, Java Experienced with Fast Pythons API Experience with design patterns, data structures, data modelling, data algorithms Knowledge of ontologies and taxonomies such as MeSH, SNOMED CT, UMLS, or MedDRA Familiarity with MLOps, CI/CD for ML, and monitoring of AI models in production Experienced with AWS /Azure Platform, building and deploying the code Experience in PostgreSQL /Mongo DB SQL database, vector database for large language models, Databricks or RDS, S3 Buckets Experience in Google cloud Search and Google cloud Storage Experience with popular large language models Experience with LangChain or LlamaIndex framework for language models Experience with prompt engineering, model fine tuning Knowledge of NLP techniques for text analysis and sentiment analysis Experience with generative AI or retrieval-augmented generation (RAG) frameworks in pharma/biotech setting Experience in Agile software development methodologies Experience in End-to-End testing as part of Test-Driven Development Good to Have Skills Willingness to work on Full stack Applications Experience working with biomedical or scientific data (e.g., PubMed, clinical trial registries, internal regulatory databases) Soft Skills: Excellent analytical and troubleshooting skills Strong verbal and written communication skills Ability to work effectively with global, remote teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills

Data Scientist What you will do The Global Quality Analytics and Innovation team leads the digital transformation and innovation effort throughout Amgen's Quality organization. We are at the forefront of developing and rolling out data-centric digital tools, employing automation, artificial intelligence (AI), and generative AI to drive end-to-end quality transformation. We are seeking a highly motivated and experienced Data Scientist with a strong background in Generative AI, Large Language Models (LLMs), and MLOps, along with an understanding for Quality in regulated environments (e.g., GxP). This role will play a key part in designing, developing, and deploying scalable AI/ML solutions to drive innovation, efficiency, and regulatory compliance across the organization. You will collaborate with cross-functional teams, including software engineers, data engineers, business stakeholders, and quality professionals to deliver AI-driven capabilities that support strategic business objectives. The ideal candidate is an analytical thinker with excellent technical depth, communication skills, and the ability to thrive in a fast-paced, agile environment. Key Responsibilities Design, build, and deploy generative AI and LLM-based applications using frameworks such as LangChain, LlamaIndex, and others. Engineer reusable and effective prompts for LLMs like OpenAI GPT-4, Anthropic Claude, etc. Develop and maintain evaluation metrics and frameworks for prompt engineering. Conduct data quality assessments, data cleansing, and ingestion of unstructured documents into vector databases. Build retrieval algorithms for relevant data identification to support LLMs and AI applications. Ensure AI/ML development complies with GxP and other regulatory standards, fostering a strong Quality culture. Partner with global and local teams to support regulatory inspection readiness and future technological capabilities in AI. Share insights and findings with team members in an Agile (SAFe) environment. What we expect of you Basic Qualifications: Master's degree and 2 4 years of experience in Software Engineering, Data Science, or ML Engineering or Bachelor's degree and 3 to 5 years of experience in Software Engineering, Data Science, or ML Engineering or Diploma and 7 to 9 years of experience in Software Engineering, Data Science, or ML Engineering Preferred Qualifications: Experience in developing and deploying LLM applications. Strong foundation in ML algorithms, data science workflows, and NLP. Expertise in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Familiarity with MLOps tools (e.g., MLflow, CI/CD, version control). Experience with cloud platforms (AWS, Azure, GCP) and tools like Spark, Databricks. Understanding of RESTful APIs and frameworks like FastAPI. Experience with BI and visualization tools (e.g., Tableau, Streamlit, Dash). Knowledge of GxP compliance and experience working in regulated environments. Strong communication skills with the ability to explain complex topics to diverse audiences. High degree of initiative, self-motivation, and ability to work in global teams.

Meet The Team The Cisco AI Software & Platform Group drives the development of groundbreaking generative AI applications. We empower Cisco's diverse product portfolio, spanning networking and security, with intelligent assistants and agents. We work on pioneering technologies that proactively defend against threats, safeguard critical business assets, and simplify security operations. Fueled by a passion for AI/ML, we strive to create a secure future for businesses. Our collaborative and passionate team thrives with tackling sophisticated challenges and delivering innovative solutions. Your Impact We are seeking a hardworking and passionate Software Engineer to join our growing AI Defense team. In this role, you will play a crucial part in building pioneering generative AI applications that will power innovation across our entire company. You will work closely with data scientists, collaborate with other engineers and multi-functional teams, and give to the development of robust, scalable, and high-performance AI solutions. Develop pioneering AI applications: Design and build innovative generative AI applications that are secure, reliable, and scalable. Translate business needs into technical solutions: Work closely with partners to understand business requirements and translate them into technical specifications and roadmaps. Experiment and innovate: Experiment with different generative AI models and architectures, evaluate their performance, and find opportunities for improvement. Build developer tools: Develop and maintain APIs, SDKs, and other tools that enable seamless integration of AI capabilities into various applications. Instrumentation: Implement the right types of instrumentation to supervise and measure the performance, reliability, and security. Fixing: Debug and fix integration issues, identifying bottlenecks or errors and implementing solutions to optimize service interactions. Scale and Performance Optimization: Work on scale and performance tuning and optimization of different components to ensure efficient, responsive operation for handling large volumes of requests. Collaborate effectively: Work closely with data scientists, researchers, product managers, engineers, and other customers to ensure successful project delivery. Chip in to a strong engineering culture: Participate actively in code reviews, knowledge sharing sessions, and team discussions. Stay ahead of the curve: Continuously learn and stay abreast of the latest advancements in AI/ML research, industry trends, and standard methodologies. Minimum Qualifications: Bachelor's degree in Computer Science, Software Engineering, or a related field. 7+ years of professional software development experience using programming languages such as Go, Python or Java Proven experience as a Backend Engineer with expertise in integrating and scaling complex services. Strong foundation in computer science fundamentals, with a focus on data structures, algorithms, and software design principles. Strong understanding of AI service operations, including Generative AI, and the ability to design and build interfaces between them. Experience with instrumentation and monitoring tools for measuring service performance. Excellent problem-solving skills and the ability to solve complex technical issues. Preferred Qualifications: Master's degree in Computer Science, Artificial Intelligence, or a related field is a strong plus. Knowledge of security best practices and compliance standards. Effective collaboration and communication skills to collaborate with multi-functional teams. #WeAreCisco #WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all. Our passion is connectionwe celebrate our employees diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best. We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer—80 hours each year—allows us to give back to causes we are passionate about, and nearly 86% do! Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us! https://jobs.cisco.com/jobs/ProjectDetail/Senior-Software-Engineer-Generative-AI-Go-Python-AWS-Kubernetes-7-11-Years/1442885

RESPONSIBILITIES: Develop and contribute to end-to-end architecture of highly scalable, distributed machine learning solutions for AI/ML/DL/NLP platforms. Contribute to the research and development of advanced generative AI models such as LLMs, SLM’s including GANs, VAEs, autoregressive models, and novel architectures. Deployment of generative AI models, frameworks, and algorithms into scalable REST API services. Conduct research and stay up-to-date with the latest advancements in generative AI to ensure our solutions are at the forefront of the industry. Perform code reviews, identify areas for improvement, and optimize AI models for efficiency and scalability. Collaborate with data scientists and engineers to pre-process and curate datasets suitable for AI applications. Continuously evaluate and improve the performance, accuracy, and reliability of Deep learning and AI models through experimentation and iteration. Work collaboratively with engineering and product development teams and cross-functional partners to ensure timely and successful delivery of generative AI projects, meeting Alstom’s expectations.

A Generative AI Developer needs skills in Python, TensorFlow, PyTorch, and deep learning. Expertise in GANs, VAEs, transformers, NLP, computer vision, and data preprocessing is crucial. Knowledge of cloud platforms

Key Responsibilities: 1. Model Development and Deployment: Design, develop, and deploy generative AI models using cutting-edge techniques and frameworks. Utilize tools like LangChain, LangGraph, LangSmith to enhance model functionality and performance. Build models on complex RAG Architecture & should be able to incorporate AI security by design. 2. Agentic AI and Intelligent Systems: Develop and integrate intelligent agents and agentic AI systems to automate and optimize processes. Collaborate with cross-functional teams to implement agent-based solutions in various applications. 3. Research and Innovation: Stay updated with the latest advancements in AI and machine learning. Experiment with new algorithms and methodologies to improve existing models and systems. 4. Collaboration and Technical Leadership: Work closely with data scientists, software engineers, and product managers to ensure AI solutions meet business needs. Provide technical guidance and mentorship to junior team members. 5. Performance Optimization and Scalability: Optimize models for efficiency, scalability, and robustness in production environments. Monitor and evaluate system performance, implementing improvements as necessary. 6. Documentation and Knowledge Sharing: Document model architectures, processes, and key findings. Share insights and advancements with the team and stakeholders. Qualifications: Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Proven experience in developing and deploying generative AI models and machine learning systems. Proficiency in programming languages such as Python, with expertise in frameworks like TensorFlow, PyTorch, or Keras. In-depth knowledge of LangChain, Langraph, LangSmith, Agents, Agentic AI, and MCP. Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization technologies (e.g., Docker, Kubernetes). Strong analytical and problem-solving skills. Excellent communication skills and ability to work collaboratively in a tea Mandatory Skills: Generative AI.Experience3-5 Years.

Job description We are having a F2F weekend drive for the requirement of a Data Scientist + Gen AI at our LTIM Hyderabad office. Date - 7th June 2025 Experience - 6+ Years Mandatory Skills - Data Science, Gen AI, Python, RAG and Azure/AWS, AI/ML, NLP Location - LTIMindtree Hyderabad Office Secondary - (Any) Machine Learning, Deep Learning, ChatGPT, Langchain, Prompt, vector stores, RAG, llama, Computer vision, Deep learning, Machine learning, OCR, Transformer, regression, forecasting, classification, hyper parameter tunning, MLOps, Inference, Model training, Model Deployment Generic JD- More than 6 years of experience in Data Engineering, Data Science and AI / ML domain Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience using business intelligence tools (e.g. Tableau, PowerBI) and data frameworks (e.g. Hadoop) Experience in Cloud native skills. Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an asset Analytical mind and business acumen and Strong math skills (e.g. statistics, algebra) Experience with common data science toolkits, such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy etc. Deep expertise in at least one of these is highly desirable. Experience with NLP, NLG and Large Language Models like BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc. Great communication and presentation skills. Should have experience in working in a fast-paced team culture. Experience with AIML and Big Data technologies like AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR etc. Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Vector databases Good understanding of applied statistics skills, such as distributions, statistical testing, regression, etc. Should be a data-oriented person with analytical mind and business acumen.

About the Role We are seeking a talented and versatile AI Engineer to join our growing team in Gurugram. This role requires a strong foundation in Artificial Intelligence and Machine Learning with practical experience across a diverse range of AI domains, including Computer Vision, Natural Language Processing (NLP), Machine Translation, Classification, and Generative AI. The ideal candidate will be passionate about developing innovative AI solutions, possess excellent problem-solving skills, and be capable of contributing to the entire lifecycle of AI projects, from research and development to deployment. Key Responsibilities AI Solution Development & Deployment Design and build AI/ML models across domains like Computer Vision, NLP, Machine Translation, Classification, and Generative AI. Develop end-to-end pipelines, from data ingestion and preprocessing to model deployment and monitoring. Write clean, efficient, and well-documented code, primarily in Python. Domain-Specific AI Applications Computer Vision : Build solutions for image recognition, object detection, segmentation, and video analysis using tools like OpenCV, TensorFlow, and PyTorch. NLP : Implement text classification, sentiment analysis, NER, topic modeling, etc., using libraries such as spaCy and Hugging Face Transformers. Machine Translation : Develop and fine-tune neural translation models, and experiment with various translation techniques. Classification Models : Apply and evaluate machine learning classifiers on structured and unstructured data using standard algorithms. Generative AI : Explore use cases in text and image generation using GANs, VAEs, and transformer-based models. Model Evaluation & Optimization Measure model performance using relevant metrics and continuously optimize based on real-world data and feedback. Deploy AI models into production and ensure reliability at scale. Research & Innovation Stay abreast of advancements in AI/ML and contribute ideas for integrating cutting-edge technologies into projects. Experiment with new tools, frameworks, and methodologies to drive innovation. Collaboration & Communication Work closely with cross-functional teams including data scientists, engineers, and product stakeholders. Present technical insights clearly and contribute to peer reviews and team knowledge sharing. Qualification & Functional Skills Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field. Minimum of 3+ years of hands-on experience in developing and implementing AI/ML models across multiple domains (Computer Vision, NLP, Translation, Classification, Gen AI). Strong programming skills in Python and experience with relevant AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Transformers, OpenCV, NLTK, spaCy). Solid understanding of fundamental machine learning algorithms and concepts. Experience working with various types of data (image, text, structured data). Experience with data preprocessing, feature engineering, and model evaluation techniques. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services is a plus. Experience with version control systems (e.g., Git). Excellent problem-solving, analytical, and critical thinking skills. Strong communication and collaboration abilities.

We are seeking an experienced and hands-on Senior Data Scientist with expertise in Generative AI and/or Classical Machine Learning to join our growing AI team. In this role, you will lead the design and development of data-driven solutions , ranging from traditional ML models to cutting-edge GenAI applications that solve real business problems. Key Responsibilities: Develop, validate, and deploy ML models for prediction, classification, recommendation, and other business use cases. Design and build GenAI applications using LLMs (e.g., GPT, LLaMA, Claude) for use cases like summarization, Q&A, content generation, document analysis, etc. Collaborate with stakeholders to translate business problems into data science solutions . Perform EDA, feature engineering , and data preprocessing on structured and unstructured data (text, images, documents). Implement model performance monitoring , drift detection, and retraining strategies. Work with MLOps/engineering teams to ensure scalable, production-grade model deployment. Stay up to date with new GenAI and ML research trends and identify opportunities for business impact. Mentor junior data scientists and support peer review of code, model design, and documentation. Required Qualifications: Education: Masters or Bachelor's degree in Computer Science, Data Science, Statistics, or related field. Experience: 58 years of professional experience in data science , with proven delivery of ML/AI models in production. Technical Skills: Strong programming skills in Python and use of libraries such as Pandas, Scikit-learn, NumPy, TensorFlow, PyTorch. Experience building and fine-tuning ML models for regression, classification, clustering, or time-series forecasting. Hands-on experience with LLMs and GenAI frameworks (e.g., LangChain, Hugging Face Transformers, OpenAI API, RAG pipelines). Exposure to text embeddings, prompt engineering, vector databases (e.g., FAISS, Pinecone, Chroma). Proficient in using SQL and working with large datasets. Familiarity with model deployment tools and practices (Docker, FastAPI, MLflow, Streamlit, or similar). Experience with cloud platforms (AWS, Azure, or GCP) is a strong plus. Preferred Skills: Experience with NLP, Computer Vision , or time-series modeling . Exposure to MLOps workflows (CI/CD, monitoring, pipeline automation). Familiarity with vector search, RAG architecture , and document intelligence workflows. Previous experience in domains like BFSI, healthcare, retail, or enterprise automation is a plus. Key Attributes: Strong business acumen and stakeholder communication. Ability to balance research mindset with production-readiness . Passion for innovation, continuous learning, and cross-functional collaboration. Team player with mentoring and leadership qualities.