491 Generative Ai Jobs - Page 17

Job Title: Senior Digital Designer (UI/UX) Experience: 5+ Years Location: Remote (Night shift) Job Type: Full-time Job Description: We are looking for a Senior Digital Designer (UI/UX) with 5+ years of hands-on experience to join our creative team. You will work closely with the Creative Director and internal teams to design visually stunning and user-friendly digital assets for web applications. The role demands strong design skills, UX thinking, and a keen eye for detail. As a Senior Digital Designer, you will play a key role in concept development, wireframing, UI design, and maintaining visual consistency across all platforms. You will also collaborate with developers, clients, and project managers to ensure seamless delivery of high-quality designs. Responsibilities: Collaborate with the Creative Director and project teams to understand requirements and target audience. Develop wireframes, mockups, and prototypes for websites and digital platforms. Design visual elements including logos, banners, UI components, and branding assets. Apply UX principles to enhance user interaction and experience. Maintain brand consistency across all design outputs. Optimize images and graphics for web performance. Assist in copy generation for branding and digital narratives, when required. Stay updated on design trends, tools, and technologies. Work with developers to ensure smooth integration of design assets. Conduct usability testing and implement feedback-driven improvements. Requirements: Bachelors degree in Graphic Design, UX/UI, or a related field (or equivalent experience). 5+ years of experience in digital or UI/UX design roles. Strong portfolio showcasing web and mobile design projects. Proficiency in Figma, Adobe Photoshop, Illustrator, and Sketch. Experience using Elementor and working with WordPress CMS. Knowledge of HTML, CSS, and responsive design. Strong visual and creative skills in layout, color, and typography. Ability to work on multiple projects and meet deadlines. Strong communication and collaboration skills. Experience with 3D design and generative AI tools is a plus. Key Skills: Digital Design, UI/UX Design, Figma, Adobe Photoshop, Adobe Illustrator, Sketch, Wireframing, Prototyping, User Experience, User Interface, Visual Design, Typography, Color Theory, Responsive Web Design, Elementor, WordPress, HTML, CSS, Graphic Design, Branding, CMS, Usability Testing, 3D Design, Generative AI

Position Summary: As a member of Redaptive's AI team, you will be driving Agentic AI and Generative AI integration across all of Redaptives business units. You will drive AI development and integration across the organization, directly impacting Redaptives global sustainability efforts and shaping how we leverage AI to serve Fortune 500 clients. Responsibilities and Duties: Strategic Leadership (10%): Champion the AI/ML roadmap, driving strategic planning and execution for all initiatives. Provide guidance on data science projects (Agentic AI, Generative AI, and Machine Learning), aligning them with business objectives and best practices. Foster a data-driven culture, advocating for AI-powered solutions to business challenges and efficiency improvements. Collaborate with product management, engineering, and business stakeholders to identify opportunities and deliver impactful solutions Technical Leadership (40%): Architect and develop Proof-of-Concept (POC) solutions for Agentic AI, Generative AI, and ML. Utilize Python and relevant data science libraries, leveraging MLflow. Provide technical guidance on AI projects, ensuring alignment with business objectives and best practices. Assist in developmentand documentation of standards for ethical and regulatory-compliant AI usage. Stay current with AI advancements, contributing to the team's knowledge and expertise. Perform hands-on data wrangling and AI model development Operational Leadership (50%): Drive continuous improvement through Agentic AI, Generative AI, and predictive modeling. Participate in Agile development processes (Scrum and Kanban). Ensure compliance with regulatory and ethical AI standards. Other duties as assigned Required Abilities and Skills: Agentic AI development and deployment. Statistical modeling, machine learning algorithms, and data mining techniques. Databricks and MLflow for model training, deployment, and management on AWS. Working with large datasets on AWS and Databricks Strong hands-on experience with: Agentic AI development and deployment. Working with large datasets on AWS and Databricks. Desired Experience: Statistical modeling, machine learning algorithms, and data mining techniques. Databricks and MLflow for model training, deployment, and management on AWS. Experience integrating AI with IoT/event data. Experience with real-time and batch inference integration with SaaS applications. International team management experience. Track record of successful product launches in regulated environments Education and Experience: 5+ years of data science/AI experience Bachelor's degree in Statistics, Data Science, Computer Engineering, Mathematics, or a related field (Master's preferred). Proven track record of deploying successful Agentic AI, Generative AI, and ML projects from concept to production. Excellent communication skills, able to explain complex technical concepts to both technical and non-technical audiences.

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Assistant Vice President- Digital Sales - Agentic AP Solution In this role, you%27ll be part of Genpact%27s transformation under GenpactNext , as we lead the shift to Agentic AI Solutions&mdashdomain-specific, autonomous systems that redefine how we deliver value to clients. You%27ll help drive the adoption of innovations like the Genpact AP Suite in finance and accounting, with more Agentic AI products set to expand across service lines. The Digital Sales individual will be a member of a dynamic team driving growth of digital solutions in a prioritized portfolio of existing and new accounts. Creating, shaping, and responding to the ever-increasing new challenges being faced within one of the specific industry verticals such as Consumer goods, Retail, Hi Tech and Manufacturing, Banking & financial services, in support of Genpact&rsquos Sales and Transformation Services community. The digital sales team has recently enjoyed good growth and made notable wins with new logos, as well as increasing the digital footprint with existing customers. This role will identify , shape and close revenue generating opportunities in new and existing accounts on a foundation of carefully selected & curated, repeatable offerings and solutions for driving change in specific vertical industries. The role will combine leading edge digital solutions with your deep domain expertise to create innovation and thought leadership opportunities! Responsibilities Display strong domain knowledge in Finance and Accounting processes with demonstrated ability to drive business solutions in Accounts Payable, Record to Report etc Identify and target potential clients through various channels such as networking and social media. Drive Software sales in Retail environment with clients where Genpact doesn&rsquot perform managed services. Demonstrate an understanding of a client&rsquos business and use of Digital technologies to craft transformational value propositions for the clients. Proactively create, identify , and develop opportunities for our proprietary Agentic SaaS solution in the Finance & Accounting domain Demonstrate understanding of Artificial Intelligence (AI) technologies like Generative AI, Machine Learning, Large Language Models etc Provide domain and digital solution expertise and support to internal teams including participation in RFI, RFP, proactive bids, customer-facing envisioning sessions/demonstrations, assessments, and workshops. Own delivery estimations, solutioning and pricing for proposed client solutions and working closely with Genpact and client is legal in the creation and review of customer commercial agreements, License / SaaS, SOW, Change requests etc. This role reports to the Global Agentic Growth Leader & Growth Leader for Digital. The Senior Digital Advisor / Seller will work in close partnership with Genpact Sales, Solutions, SMEs, Partner (Microsoft) Account teams and other consulting leaders within Genpact in successfully establishing and growing client relationships, innovating with clients and winning deals. Qualifications we seek in you! Minimum Qualifications / Skills Product Knowledge : Deep understanding of finance and accounting solutions, including features, benefits, and how it meets the needs of different businesses. Industry Expertise : Familiarity with the different industries including CPG, Hi Tech & Manufacturing Sales Skills : Strong abilities in prospecting, qualifying leads, presenting solutions, negotiating, and closing deals Proven Experience and success in driving SaaS product sales. Communication Skills : Excellent verbal and written communication to effectively convey complex information and build relationships with clients. Customer-Centric Approach : Focus on understanding and addressing the specific needs and pain points of customers. Problem-Solving Skills : Aptitude for identifying customer problems and proposing tailored solutions. Adaptability : Flexibility to adapt to different customer needs and market changes. Persistence and Resilience : Determination to pursue leads and handle rejection positively. Team Collaboration : Ability to work well with marketing, product development, and customer support teams to ensure customer satisfaction. Preferred Qualifications/ Skills Deep expertise in one or more specific industry verticals such as Manufacturing, High Tech Software, Hardware, Hospitality, Services, Logistics, Media, Telco, and/or Entertainment. Good cultural fit - role model in (CI)2 i.e., curious, incisive, and courageous, on a bedrock of integrity. Good &ldquoroll up the sleeves collaboration attitude to work across Genpact, client teams and Genpact&rsquos SaaS partners to bring the greatest possible impact through new ways of working. Technical understanding of SaaS architecture, integrations, and domain expertise Ability to engage, and work with C level executives on the client side. Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Key Skills & Expertise: Data Analysis & Statistical Modeling: Proven ability to analyze, interpret, and model complex datasets for business insights. SQL & Programming: Proficient in SQL, with expertise in data querying, optimization, and management. Prompt Engineering & AI: Strong understanding of prompt engineering, machine learning (ML), and Generative AI (GenAI). Data Visualization: Hands-on experience with data visualization techniques, utilizing tools like Power BI, Tableau, Looker Studio (good to have). Big Data & Cloud Technologies: Familiar with big data frameworks, cloud computing platforms, and data warehousing solutions. Data Mining & Predictive Modeling: Skilled in data mining techniques and predictive analytics for actionable insights. Large-Scale Data Handling: Experienced in working with large datasets, databases, and on-prem to cloud migrations. Communication & Problem-Solving: Strong analytical thinking, teamwork, and ability to interpret complex data for business decisions. Industry Expertise: Knowledge of the Finance domain (good to have).

Role: Gen AI Engineer Employment Type: FTE with Dimiour Work Location: Remote Shift Timings: General Day Shift IST Time Zone Experience Required: 5+ Years GenAI Engineers 5+ years of experts who are proficient in Python and familiar with AI/Gen AI frameworks. Experience with data manipulation libraries like Pandas and NumPy is crucial. • Specific expertise in implementing and managing large language models (LLMs) is a must. • Fast API experience for API development • A solid grasp of software engineering principles, including version control (Git), continuous integration and continuous deployment (CI/CD) practices, and automated testing, is required. Experience in MLOps, ML engineering, and Data Science, with a proven track record of developing and maintaining AI solutions, is essential. • proficiency in DevOps tools such as Docker, Kubernetes, Jenkins, and Terraform, along with advanced CI/CD practices Preferred candidate profile Immediate - 15days

We are seeking a highly skilled and innovative AI/ML Engineer with hands-on experience in developing and deploying intelligent chatbot systems. The ideal candidate will have a strong background in machine learning, natural language processing (NLP), and software engineering, with proven experience building conversational AI systems that deliver real value to users. Below is JD- Design, develop, and deploy AI-driven search solutions for eCommerce platforms to enhance product discovery and relevance. Build and optimize agentic AI chatbots that guide users through personalized shopping experiences, customer service, and post-purchase workflows. Work closely with product managers, UX designers, and developers to translate business requirements into intelligent solutions. Integrate third-party or custom AI/ML services with eCommerce platforms like Shopify, Magento, Adobe Commerce, Salesforce Commerce Cloud , etc. Apply natural language understanding (NLU) and context management for advanced chatbot functionality. Analyze search and conversation data to continuously improve relevance, ranking, and chatbot accuracy. Experiment with generative AI (e.g., OpenAI, Anthropic) for advanced conversational capabilities. Collaborate in an agile environment, participate in code reviews, and contribute to architecture discussions. Fine-tune language models and recommendation engines to personalize user interactions based on behavior, preferences, and purchase history. Monitor performance of chatbot systems and iterate using A/B testing, user feedback, and analytics tools. Ensure chatbot systems comply with privacy, security, and data governance standards relevant to eCommerce and consumer data. Preferred: Experience working with Google Vertex search/ Vector search / Elastic search / Milvus, etc Ecommerce AI search experience. Experience in building and deploying AI/ML solutions, with at least 2 years focused on chatbot development. Proficiency in NLP tools and frameworks (e.g., spaCy, NLTK, Hugging Face, Rasa, Dialogflow, Botpress). Experience working with LLMs and APIs from providers like OpenAI, Anthropic, or Cohere. Strong programming skills in Python and experience with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).

Notice Period: Candidates with up to 1-month notice preferred Findability Sciences is looking for a hands-on AI expert with experience in developing and implementing comprehensive predictive and generative AI solutions. This is a core technical role rather than a support-based one. What we are looking for: 3+ years of experience in AI/ML with a Masters or Ph.D. in a relevant field Strong knowledge of Python, SQL, Machine Learning, LLMs, RAG, and Prompt Engineering Experience in predictive modeling, time series forecasting, and generative AI use cases Experience with ML Ops workflows model deployment, monitoring, versioning, and pipeline automation Key Responsibilities: Design and deploy predictive & GenAI solutions for real-world business use cases Build and optimize LLM-based workflows for summarization, retrieval, and Q&A Collaborate with cross-functional teams to define use cases and develop proof-of-concepts Translate business problems into ML/GenAI solutions and deliver outcomes Validate, compare, and optimize models for performance and scalability Apply basic ML Ops practices to ensure smooth deployment and monitoring of models Contribute to reusable pipelines, prompt tuning strategies, and production integration Present actionable insights and models to stakeholders clearly and effectively

Roles and Responsibilities : Must have skills: Python Programming, Machine Learning, Statistical Analysis, Data Science, Generative AI (GPT, DALLE, GANs), Cloud (AWS/Azure/GCP), Model Deployment, API Development, Docker/Kubernetes Good to have skills: PyTorch, TensorFlow, Large-Scale Data Processing, Cloud Integrations, NLP, Computer Vision, Security Best Practices, Performance Optimization, Open-Source Contributions Experience: Minimum 6-12+ years of experience in Data Science, Machine Learning, or related fields with a focus on Generative AI models (LLMs) and API development. Educational Qualification: Bachelor's or Master’s in Computer Science, Data Science, Statistics, Engineering, or related Analytics discipline from a premier institute. Job Summary: Accenture AI is seeking a talented and motivated Generative AI Data Scientist Analyst to join our Banking team. The ideal candidate will leverage their expertise in Generative AI models, Machine Learning, Data Analysis, and Cloud Platforms to develop innovative solutions and enhance AI capabilities. This role will involve collaborating with cross-functional teams to design, develop, and implement generative AI solutions that meet our business needs. Roles & Responsibilities: Collaboration: Work closely with product managers, engineers, and other stakeholders to understand requirements and deliver impactful AI solutions. Model Deployment: Containerize and deploy generative AI models using tools like Docker, Kubernetes, and cloud platforms (e.g., AWS, Azure, Google Cloud). API Development: Design, develop, and deploy robust APIs to expose generative AI models (e.g., GPT, DALLE, Stable Diffusion, GANs) for integration into client systems and applications. Client Collaboration: Work closely with clients to understand their technical requirements and deliver tailored API solutions that meet their business needs. Generative AI Model Integration: Integrate generative AI models into existing workflows, applications, and platforms via APIs. Performance Optimization: Optimize API performance for latency, scalability, and reliability, ensuring seamless user experiences. Data Pipeline Development: Build and maintain data pipelines to support real-time or batch processing for generative AI models. Security and Compliance: Implement security best practices and ensure APIs comply with data privacy and regulatory standards. Documentation: Create comprehensive API documentation, including usage examples, SDKs, and troubleshooting guides. Testing and Monitoring: Develop automated testing frameworks and monitoring systems to ensure API reliability and performance. Stay Updated: Keep up with the latest advancements in generative AI, API development, and cloud technologies to bring innovative solutions to clients. Professional & Technical Skills: Strong proficiency in Python programming and experience with machine learning frameworks (e.g., TensorFlow, PyTorch). Expertise in API Development and deployment, with hands-on experience with Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure). Ability to build and optimize data pipelines for generative AI models. Knowledge of security best practices and ensuring compliance with regulatory standards. Strong problem-solving, analytical, and creative thinking skills to design and implement innovative solutions. Excellent communication skills, capable of conveying complex technical concepts to diverse audiences. Additional Information: Experience with large-scale data processing and expertise in NLP or computer vision. Contributions to open-source AI/ML projects. Experience with cloud integrations, big data technologies, and performance optimization. Familiarity with security standards and regulatory compliance in AI solutions

AlgoAnalytics is looking for a Data Scientist who has the passion for AI/ML solution development and cutting-edge work in Gen AI. Minimum 3 years of experience in AI/MI including Deep Learning, and exposure to Gen AI/LLM is required along with tools/techs/libraries like Agentic AI, Dify/Autogen, Langraphetc. Detailed understanding of Cloud technologies and Deployment with good hands-on experience is an added advantage. Key Responsibilities: AI/ML & Gen AI Development: Develop Gen AI/LLM models using OpenAI, Llama, or other open-source/offline models. Utilize Agentic AI frameworks and tools like Dify, Autogen, Langraph to build intelligent systems. Perform prompt engineering, fine-tuning, and dataset-specific model optimization. Implement cutting-edge research from AI/ML and Gen AI domains. Work on cloud-based deployments of AI/ML models for scalability and production readiness. Leadership & Mentoring: Troubleshoot AI/ML, Gen AI, and cloud deployment challenges. Mentor junior team members and contribute to their skill development. Identify team members for mentoring, hiring, and technical initiatives. Ensure smooth project execution, deadline management, and client interactions. Research & Innovation: Explore and implement recent AI/ML research in practical applications. Contribute to research publications, internal knowledge-sharing, and AI innovation. Qualifications: 2-3 years of hands-on experience in Machine Learning, Deep Learning, and Gen AI/LLMs. Bachelors/Masters degree in Computer Science, Engineering, Mathematics, or Statistics (with strong programming knowledge). Skills: Programming: Strong expertise in Python and relevant ML/AI libraries. AI/ML & Gen AI: Deep understanding of Machine Learning, Deep Learning, and Generative AI/LLMs. Agentic AI & Automation: Experience with Dify, Autogen, Langraph, and similar tools. Cloud & Deployment: Knowledge of cloud platforms (AWS, GCP, Azure) and MLOps deployment pipelines. Communication & Leadership: Strong ability to manage teams, meet project deadlines, and collaborate with clients. Note - We would prefer only Pune based candidates

Design, develop, and execute comprehensive test plans, test cases, and test scripts. Conduct functional, regression, exploratory, and usability testing for web and AI-based applications. Validate application functionality against business requirements and technical specifications. Identify, log, and track defects using tools like Jira ; collaborate with developers for prompt resolution. Perform API testing , and validate data integrity via database queries. 2. Product Documentation Create and maintain user manuals, product guides, release notes, FAQs , and training materials. Translate complex product behavior into easy-to-understand documentation for end-users and internal teams. Collaborate with product managers, developers, and UX designers to ensure accurate and up-to-date documentation. Maintain internal documentation to support QA best practices, workflows, and process improvements . 3. Cross-Functional Collaboration Act as a quality advocate across development, product, and design teams. Participate in daily standups, sprint planning, and retrospectives in Agile teams. Support UAT (User Acceptance Testing) and provide assistance during client or stakeholder demos. Provide insights into improving usability, user experience, and system robustness . 4. Process Improvement Drive enhancements in QA processes and documentation standards. Suggest and help implement process improvements for better product stability and faster release cycles. Required Skills and Qualifications: Experience: Minimum 6 years of manual QA experience in testing web or AI-integrated platforms. Generative AI Knowledge: Exposure to Generative AI-based applications or AI product testing. Documentation Skills: Proven experience in writing and maintaining high-quality product documentation. Test Design & Execution: Expertise in creating detailed test cases and executing across platforms. Tools: Hands-on experience with Jira , Confluence , Postman (for API testing), and SQL for database validation. Bug Tracking & Reporting: Strong skills in issue documentation and root cause identification.

Job description MLOps Engineer Bangalore (work at office) 5+ Years experience relevant in MLOPs Mandatory Skills: Strong proficiency in Generative AI, Large Language Models (LLMs), deep learning, agentic frameworks, and RAG setup. Experience in designing and implementing machine learning models using scikit-learn and TensorFlow. Hands-on expertise with AI/ML frameworks such as Hugging Face, LangChain, LangGraph, and PyTorch. Cloud AI services experience, particularly in AWS SageMaker and AWS Bedrock. MLOps & DevOps: Knowledge of data pipeline setup, Apache Airflow, CI/CD, and containerization (Docker, Kubernetes). API Development: Ability to develop and maintain APIs following RESTful principles. Technical proficiency in Elastic, Python, YAML, and system integrations. Nice to Have: Experience with Observability, Ansible, Terraform, Git, Microservices, AIOps, and scripting in Python. Familiarity with AI cloud services such as Azure OpenAI and Google Vertex AI.

We are seeking a talented AI Engineer to join our team. The ideal candidate will have expertise in machine learning, NLP, deep learning, and deploying AI models, with experience in advanced tools and frameworks across AI and backend development. Responsibilities: Develop and deploy AI models using machine learning , deep learning (CNNs, RNNs, LSTMs), and NLP ( GPT , BERT ). Work with advanced AI frameworks ( Langchain , AutoGen , Streamlit ) and backend frameworks ( FastAPI , Flask ). Implement reinforcement learning and autonomous decision-making systems. Leverage cloud platforms ( AWS: Bedrock, Sagemaker ) for model deployment and scalability. Integrate third-party services ( OpenAI , Azure Foundry ) and tools ( RelevanceAI , Huggingface ). Work with databases ( MongoDB , Postgres , Redis ) and distributed systems. Utilize advanced AI techniques like RAG , fine-tuning , LoRA , QLoRA , multi-model systems , and stable diffusion . Explore AI applications in video generation models ( text-to-video , image-to-video ). Skills Needed: Expertise in AI frameworks : Langchain , AutoGen , Streamlit . Strong experience with FastAPI , Flask , and cloud platforms ( AWS , Bedrock , Sagemaker ). Knowledge of third-party services ( OpenAI , Azure Foundry ) and tools ( RelevanceAI , Huggingface ). Solid experience with databases ( MongoDB , Postgres , Redis ). Proficient in machine learning , deep learning , NLP , and reinforcement learning . Hands-on experience with advanced AI techniques: RAG , fine-tuning , LoRA , QLoRA , SLM , LLM , stable diffusion , and video generation models .

We are seeking a Generative AI Engineer with 3-5 years of experience with strong background in developing agentic architectures and experience with various frameworks and observability tools relevant to generative AI applications. This role demands proficiency in Python, deployment experience, and familiarity with Retrieval-Augmented Generation (RAG) applications. Responsibilities Design, develop, and implement agentic architecture for generative AI systems. Utilize frameworks such as Langchain, to enhance application performance and monitoring. Collaborate with cross-functional teams to build and deploy generative AI solutions that address business needs. Develop, test, and maintain agentic RAG applications, ensuring high performance and reliability. Develop, test, and maintain backend services and APIs using Python frameworks Experience in deploying machine learning models in production environments. Design and implement robust testing frameworks to assess model performance, including precision, recall, and other key performance indicators (KPIs). Continuously improve algorithms for accuracy, speed, and robustness in real-time. Stay updated with the latest advancements in generative AI technologies and methodologies to implement innovative solutions. Document processes, architectures, and code to ensure maintainability and knowledge sharing. Required Skills Technical Skills: Proficient in Python programming language in developing, training and evaluating deep learning models. Hands-on experience with frameworks like Langchain and Langraph. Version Control Systems: GIT, GitHub FastAPI, Flask, or Django REST Framework. Conduct evaluations of chat applications to assess effectiveness and user experience. Knowledge of various RAG applications and their implementation. Containerization and Orchestration: Docker and Kubernetes. Work with relational databases (PostgreSQL/MySQL) and NoSQL databases (MongoDB/Cassandra). Develop both synchronous (REST, gRPC) and asynchronous communication channels (using message brokers like RabbitMQ or Kafka). Experience: Minimum of 3 years of experience in software engineering or related fields. Proven track record of developing generative AI applications. Experience in evaluating chat applications for functionality and user engagement. Soft Skills: Strong analytical and problem-solving skills. Excellent communication skills for collaboration with team members and stakeholders. Ability to work independently as well as part of a team in a fast-paced environment.

GEN AI EngineersRole & responsibilities Are you a driven problem solver looking to help build next generation AI solutions join Altimetrik's Generative AI engineering team. If you are looking for a rapidly growing, collaborative environment with opportunities to make an impact and grow, our GenAI engineering team would be a great fit for you! Proven expertise in Prompt Engineering. Strong knowledge of NLP techniques, including text summarization, question answering, and more. Proficient in software design patterns, with experience in writing modular, reusable, and maintainable code. Hands-on experience with at least one major cloud platform (AWS, GCP, or Azure). Relevant experience with Docker and Kubernetes is highly desirable. Strong ability to rapidly prototype ideas and tackle complex problems with innovative solutions. Experience working within an Agile development environment. Excellent communication and presentation skills. Preferred candidate profile A Bachelor's degree in a relevant field such as Computer Science, Software Engineering, or Data Science is preferred. A Masters degree in Artificial Intelligence is a plus. 3-8 years of experience working with Python and a high level of proficiency in the language. Outstanding analytical and problem-solving abilities. Extensive experience with Generative AI, with a solid understanding of end-to-end pipelines involving Large Language Models (LLMs) such as OpenAI, Llama, Claude, etc. Skill as Mandate : - GEN AI (Minimum 6 months + experience ) Python(Strong coding skill ) Pandas Numpy

What is AI Engineer team responsible for? As a Senior AI Engineer, youll be a key member of the Data & AI team. This team is responsible for designing and delivering data engineering, analytics, and generative AI solutions that drive meaningful business impact. Were looking for a pragmatic, results-driven problem solver who thrives in a fast-paced environment and is passionate about building solutions at scale. The ideal candidate has a strong technical foundation, a collaborative mindset, and the ability to navigate complex challenges. You should be comfortable working in a fast-moving, startup-like environment within an established enterprise, and should bring strong skill sets to adapt new solutions fast. You will play a crucial role in integrating AI solutions in our existing digital solutions, optimizing our data infrastructure, and enabling insights through data #MID_SENIOR_LEVEL What is a Digital & AI/ML Lead Engineer (Senior AI Engineer) responsible for? Serve as a hands-on technical lead, driving project execution and delivery in our growing AI team based in the Hyderabad office. Collaborate closely with the U.S.-based team and cross-functional stakeholders to understand business needs and deliver scalable, AI-powered solutions. Design and build AI applications leveraging best smart solutions. Provide quick prototype and evaluation AI/ML solutions aligned with business objectives. Stay current with emerging trends in AI, and machine learning and help implement best practices within the team. Mentor and support junior engineers, fostering a culture of learning and technical excellence. Manage unstructured data and generate embeddings that can further be leveraged into AI products. What ideal qualifications, skills & experience would help someone to be successful? Bachelors or master’s degree in computer science, data science, engineering, or a related field from a premium institute. 7+ years of experience in engineering, software engineering, data science, or machine learning, including 3+ years in a technical leadership role. Strong understanding with data pipelines, Snowflake ecosystem and master data management. Proficiency in Python. Experience working with unstructured data, large language models (LLMs), embeddings, and building generative AI prototypes. Self-starter with a passion for learning new tools and technologies. Strong communication skills and a collaborative, ownership-driven mindset. Work Shift Timings - 2:00 PM - 11:00 PM IST

Job description We are having multiple openings for Data Scientist + Gen AI skills Experience - 6+ Years Location - All LTIMindtree office location Mandatory Skills - Data Science, Gen AI, Python, RAG, Cloud, AI/ML, NLP Mandatory Skills - Data Science, Gen AI, Python, RAG. AI/ML, NLP 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.

Requirements and skills Must have 4+ years of experience in Python development of services and/or applications where Python was used as the core programming 3+ years of professional experience with cloud technologies (AWS, GCP, Azure), AWS preferred Proven work experience as a Software Developer with GenAI skills Software development experience with NodeJS development, GitLab CI/CD, as well as queuing approaches and solutions Experience with document parsing into RAG GPT solutions and story estimation Comprehensive understanding of natural language processing, machine learning and AI-generated content development Excellent problem-solving and analytical skills Ability to collaborate effectively with cross-functional teams Experience using large language models, Langchain, Langgraph, vector databases, and cloud AI services to architect AI solutions (AWS SageMaker, GCP AI Platform, Azure ML), AWS preferred Experience in model development/fine-tuning and integration of LLMs to broader application workflows Expertise in prompt engineering, agentic frameworks, and retrieval augmented generation A creative approach to problem-solving using the latest AI technology SW development experience and able to apply GenAI services to build business applications Experience with open-source modeling frameworks (ex. TensorFlow, Keras, PyTorch, Scikit-learn) Experience in production model management Knowledge of Unit Testing, automated testing and monitoring solutions Contributions to open-source projects A true passion for AI Relevant training and/or certifications in computer science, AI or a related field Strong verbal and written communication skills

Hiring an AI-focused developer with expertise in Node.js, API integration (Azure OpenAI, RAG, parameter tuning), and AI pipeline optimization. Bonus: MCP knowledge & experience with image analysis. AI Developer Required Candidate profile AI Developer with 2+ years' experience in Node.js, Azure OpenAI, RAG, API integration, and AI pipelines. Bonus: MCP knowledge & image analysis (OpenAI/Anthropic).

Impact: This position offers the opportunity to lead a team of highly motivated individuals and contribute to achieving the teams goals. You will lead efforts to improve data accuracy, completeness, and timeliness through collaboration, innovation, and the execution of ad-hoc projects, with a focus on acquiring and collecting public and private data. Through strong stakeholder relationships and a deep understanding of market dynamics, we position ourselves as trusted partners, equipping clients with the intelligence needed to navigate opportunities and risks in a competitive environment. Responsibilities: Formulate and implement data-driven strategies that balance technical and product knowledge, collaborating with multiple teams to create best-in-class solutions. Oversee and implement data quality projects that align with evolving business priorities, ensuring high standards of data integrity. Identify opportunities for new datasets within the market landscape and support the development of strategies to incorporate them into existing frameworks. Demonstrate empathy and support team members, especially during challenging times, promoting a culture of well-being and collaboration. Encourage team motivation, facilitate career progression discussions, and execute succession planning to nurture talent within the team. Enhance the technical skills of the team, preparing them for future growth and evolving industry demands. Establish SMART objectives for team members, actively manage performance, and communicate the Pay for Performance culture and its linkage to rewards. Track and communicate team performance metrics, including time utilization and quality statistics, while setting challenging benchmarks for resource efficiency. Mentor the team on industry trends and large-scale data projects, providing guidance on business initiatives. Manage short-term and long-term projects from resource planning to execution, collaborating closely with the Data Management team to ensure alignment and effectiveness. Drive constructive conversations with the leadership team and stakeholders across various locations, ensuring alignment on goals and expectations. Advocate for a culture of innovation by understanding processes and workflows, generating ideas to eliminate content gaps and establish best practices. Foster a lean mindset to improve operational efficiency. Ensure all critical timelines and requirements for business-as-usual workflows, KPIs, and projects are met, demonstrating problem-solving capabilities at all levels. As a people leader, embody and promote the organizations values, culture, and strategic objectives, setting an example for the team. What we are looking for: Prior leadership experience in data services, with a strong focus on people management. Knowledge or experience in the industry is preferred. In-depth understanding of the mechanics of the capital markets domain, with the ability to quantify trends impacting the industry and provide insightful analysis. Proven operational management skills with a keen attention to detail, gained within a respected data company, ensuring effective oversight of data quality and performance. Experience in introducing and monitoring Key Performance Indicators (KPIs) and performance metrics, facilitating continuous improvement and accountability within the team. Capacity to give and receive constructive feedback, providing coaching to team members to foster their professional growth and development. Exceptional oral and written communication skills, enabling clear articulation of complex data insights and fostering effective stakeholder engagement. Willingness to work across various shifts, including night shifts on a rotational or as-needed basis, demonstrating adaptability to meet business needs. Maintains high ethical standards both personally and professionally, ensuring transparency and integrity within the team. Strong collaboration skills with the ability to work effectively within cross-functional teams and build relationships with various stakeholders. Comfort with change management processes, adapting to evolving business needs and driving innovation within the team. Familiarity with additional analytical tools or programming languages that enhance data analysis capabilities. Experience in managing projects from inception to completion, including the ability to prioritize tasks and manage resources effectively. Understanding of cultural differences and the ability to navigate them effectively in a global work environment. Commitment to continuous learning and professional development in data analysis and emerging technologies. A results-oriented approach, focusing on achieving goals and delivering measurable outcomes. Preferred Qualifications: A minimum of 8 years of experience working closely with senior leaders and decision-makers, demonstrating the ability to influence and drive strategic initiatives. Proven experience in establishing and nurturing trust with business heads, fostering long-lasting business relationships that benefit both the organization and stakeholders. Comfort with a high degree of autonomy, effectively managing priorities from multiple internal and external stakeholders to achieve organizational goals. Basic knowledge of SQL and Generative AI is desirable, providing a foundation for data analysis and innovative solutions. Familiarity with data visualization tools, enabling effective communication of insights through visual storytelling. Possession of a Green Belt Certification and exposure to Lean concepts, indicating a commitment to process improvement and operational efficiency. Our People: We're more than 35,000 strong worldwideso we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. Were committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Were constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: Its not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visit: Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to:? ?and your request will be forwarded to the appropriate person.? US Candidates Only: The EEO is the Law Poster describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - ----------------------------------------------------------- 10 - Officials or Managers (EEO-2 Job Categories-United States of America), DTMGOP103.2 - Middle Management Tier II (EEO Job Group), SWP Priority Ratings - (Strategic Workforce Planning)

Solutions Architect We are seeking an experienced Solutions Architect with strong expertise to design and implement scalable, resilient, and secure technical solutions for our clients using AI driven product/platform. The ideal candidate will have a deep understanding of software architecture principles, extensive experience with Cloud technologies, and the ability to translate business requirements into comprehensive technical solutions. Experience with Genn AI frameworks would be advantageous. Key Responsibilities Design and develop enterprise-level architecture solutions Create detailed solutions for proposals with technical specifications, architecture diagrams, and implementation plans Evaluate and recommend appropriate technologies and frameworks to meet business requirements Ensure solutions meet performance, scalability, security, and maintainability requirements Lead technical discussions with clients and internal teams to define solution approaches Conduct technical design reviews and provide feedback to development teams Identify and mitigate technical risks throughout the project lifecycle Mentor development teams on architecture best practices and implementation strategies Stay current with emerging technologies and industry trends Collaborate with product managers, project managers, and business analysts Create proof-of-concepts and technical demonstrations for clients Document architecture decisions and solutions for knowledge sharing Required Qualifications Bachelors degree in computer science, Software Engineering, or related field 12+ years of software development experience 5+ years of experience as a Solutions Architect or similar role Expert knowledge of Architecting solutions Strong understanding of Azure, AWS or similar cloud platforms Experience with microservices architecture and containerization (Docker, Kubernetes) Proficiency in designing RESTful APIs and service-oriented architectures Extensive experience with relational databases and NoSQL solutions Understanding of security principles and best practices Experience with continuous integration/continuous deployment pipelines Strong communication and presentation skills Ability to understand business requirements and translate them into technical solutions Preferred Qualifications Knowledge of Generative AI and Agentic AI concepts Knowledge of AI and Generative AI frameworks Familiarity with front end frameworks for front-end development Experience with Agile methodologies Experience with event-driven architectures and message queuing systems Experience with DevOps practices and tools Technical SkillsCore Technologies Microservices Architecture Docker/Kubernetes CI/CD Pipelines REST/SOAP APIs Generative AI Frameworks Nice to Have Angular or React.js NoSQL databases (MongoDB, Cosmos DB) Message Brokers (RabbitMQ, Kafka) Terraform/Infrastructure as Code Serverless architectures Ascendion Details : Ascendion is a leading provider of AI-first software engineering services. Our applied AI, cloud, data, experience design, and talent transformation capabilities accelerate innovation for Global 2000 clients. company URL : www.ascendion.com Note : Looking for Immediate / Less Notice candidates only

Job description Technical Lead (Enterprise AI Systems) We are seeking a Technical Lead to drive the design and development of our enterprise-grade AI product. This role requires a deep understanding of AI/ML systems, cloud-native architectures, and scalable software design. The applicant should have mandatorily worked on enterprise grade AI product or project for at least 2 - 3 years. This role includes at least 50% hands on development, 30% LLD and the remaining 20% of HLD / Architecture. The role is on the technical career path and is NOT suitable for project managers, technical managers, engineering managers etc. Key Responsibilities: Develop scalable, modular, and secure AI-driven software systems. Design APIs, microservices, and cloud infrastructure for AI workloads. Ensure seamless AI model integration and efficient scaling. Optimize performance & scalability of systems. Implement caching, load balancing, and distributed computing. Ensure security compliance (GDPR, SOC2) and secure data handling. Enforce best practices in authentication, encryption, and API security. Mandatory Skills & Qualifications: Experience: 8 - 10 years in software architecture & design, with at least 3+ years focused on AI/ML product design & development. Last 1 - 2 years should include deep Gen AI experience in enterprise grade AI projects or applications. Experience with design and developing applications with LLMs, RAG Applications, Gen AI Agents. Fine-tuning open-source LLMs. Experience with deploying and monitoring LLMs. Experience with LLM evaluation frameworks or tools like DeepEval, Langfuse or similar. Experience with frameworks like langchain, llamaindex, pydantic etc. Proficiency in RDBMS like PostgreSQL and knowledge of vector databases (eg: chromadb,Pinecone, FAISS, Weaviate). Strong background in microservices, RESTful & GraphQL APIs, event-driven architectures, Working experience with Kafka, RabbitMQ etc... Proficient in Python, Java for backend development Experience with TensorFlow, PyTorch, Hugging Face etc... Skilled in data processing (NumPy, Pandas, Dask,NLTK) and front-end (TypeScript, React.js). Experience in scalable AI systems, data pipelines, MLOps, and real-time inference. Strong understanding of security protocols, IAM, OAuth2, JWT, RBAC. Expertise in cloud platforms (AWS, GCP, Azure), Kubernetes, Docker. Hands-on experience with CI/CD (Eg: github,Jenkins etc...) Hands-on with system monitoring (Eg: ELK Stack,OpenTelemetry, Prometheus, Grafana). Nice-to-Have Skills: Ensuring AI model interpretability, fairness, and bias mitigation strategies. Optimizing model inference using quantization, distillation, and pruning techniques. Experience in deploying AI models in production at scale, including MLOps best practices. Designing AI systems with privacy-preserving techniques (differential privacy, homomorphic encryption etc.). Experience with knowledge graph-based AI applications.

Data Science Consultants (DSCs) design, develop and execute high-impact analytics solutions for large, complex, structured and unstructured data sets (including big data) to help clients make better fact-based decisions. Responsibilities: Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner Execute statistical and data mining techniques (e.g. hypothesis testing, machine learning and retrieval processes) on large data sets to identify trends, figures and other relevantinformation Collaborating with clients and cross functional teams to develop & deploy the data science solutions effectively & communicate the analysis findings Contribute to the evaluation of emerging datasets and technologies that may contribute toour analytical platform Evaluating emerging datasets and technologies that may contribute to our analytical platform Owning the development of select assets/accelerators for efficient scaling of capability Contributing to the thought leadership of the firm by helping in researching the evolving topics and publishing them Qualifications: Bachelor's or master's degree or PhD in Computer Science (or Statistics) from a premier institute, and strong academic performance with analytic and quantitative coursework is required; Knowledge of big data/advanced analytics concepts and algorithms (e.g. text mining, social listening, recommender systems, predictive modeling, etc.); Knowledge of programming (e.g. Java/Python/R); Exposure to tools/platforms (e.g. Hadoop eco system and database systems); Excellent oral and written communication skills; Strong attention to detail, with a research-focused mindset; Excellent critical thinking and problem-solving skills; High motivation, good work ethic and maturity. ZS is a global consulting firm; fluency in English is required, additional fluency in at least one European or Asian language is desirable. ZS offers a competitive compensation package with salary and bonus incentives, plus an attractive benefits package.

Python with data science Responsibilities: We are looking for a highly skilled Python Developer to join our dynamic team. The ideal candidate will have extensive experience in Python development, a strong understanding of software engineering principles, and hands-on expertise in designing, developing, and deploying scalable applications. Define the variables and their inter-relationships and extract the data from our data repositories, leveraging infrastructure including Cloud computing solutions and relational database environments. Skills and Qualifications: 6.5 -11 years of experience. Bachelors degree in Comp Science / IT (or equivalent) with strong background in programming Expert-level Python programming with strong debugging skills Advanced experience with Flask for API development and deployment Proficiency in SQL, including complex query optimization and database design Strong understanding of software development best practices and documentation Hands on knowledge of working with LLM provider APIs like GPT, Claude, Cohere etc. Knowledge of working with at least one Agent framework like langchain, agentstudio. Expericence of working with Azure and containerized applications. Experience with data science libraries (NumPy, Pandas, Scikit-learn) Experience with multiple programming languages like Java, C# .NET would be a plus.

About the Role We are looking for an experienced and visionary Generative AI Architect with 8-12 years of experience in AI/ML, including hands-on work with LLMs (Large Language Models) and Generative AI solutions . In this strategic technical leadership role, you will be responsible for designing and overseeing the development of advanced GenAI platforms and solutions that transform business operations and customer experiences. As the GenAI Architect, you will work closely with data scientists, ML engineers, product teams, and stakeholders to conceptualize, prototype, and scale generative AI use cases across the organization or client engagements. Key Responsibilities GenAI Solution Architecture & Design Lead the design and development of scalable GenAI solutions leveraging LLMs , diffusion models , and multimodal architectures . Architect end-to-end pipelines involving prompt engineering , vector databases , retrieval-augmented generation (RAG) , and LLM fine-tuning . Select and integrate foundational models (e.g., GPT, Claude, LLaMA, Mistral ) based on business needs and technical constraints. Technical Strategy & Leadership Define GenAI architecture blueprints, best practices, and reusable components for rapid development and experimentation. Guide teams on model evaluation, inference optimization , and cost-effective scaling strategies . Stay current on the rapidly evolving GenAI landscape and assess emerging tools, APIs, and frameworks. Collaboration & Delivery Work with product owners, business leaders, and data teams to identify high-impact GenAI use cases across domains like customer support, content generation, document understanding, and code generation. Support PoCs, pilots, and production deployments of GenAI models in secure, compliant environments. Collaborate with MLOps and cloud teams to enable continuous delivery, monitoring, and governance of GenAI systems. Required Qualifications & Experience Education: Bachelor's or Masters degree in Computer Science, Artificial Intelligence, Data Science, or related technical field . PhD is a plus. Experience: 12–15 years in AI/ML and software engineering, with 3+ years focused on Generative AI and LLM-based architectures . Core Skills Deep expertise in machine learning , natural language processing (NLP) , and deep learning architectures . Hands-on experience with LLMs, transformers, fine-tuning techniques (LoRA, PEFT) , and prompt engineering . Proficient in Python , with libraries/frameworks such as Hugging Face Transformers, LangChain, OpenAI API, PyTorch, TensorFlow . Experience with vector databases (e.g., Pinecone, FAISS, Weaviate) and RAG pipelines . Strong understanding of cloud-native AI architectures (AWS/GCP/Azure), containerization (Docker/Kubernetes), and API integration. Architectural & Leadership Skills Proven ability to design and deliver scalable, secure, and efficient GenAI systems . Strong communication skills for cross-functional collaboration and stakeholder engagement. Ability to mentor engineering teams and drive innovation across the AI/ML ecosystem. Nice-to-Have Experience with multimodal models (text + image/audio/video). Knowledge of AI governance, ethical AI, and compliance frameworks . Familiarity with MLOps practices for GenAI , including model versioning, drift detection, and performance monitoring.

You'll be Responsible for: Design, develop and implement cutting-edge AI/ML solutions, including Large Language Models (LLMs) and Generative AI applications Lead projects end-to-end while mentoring team members in AI-ML, including traditional ML and emerging AI technologies Drive innovation in AI agent development and orchestration for automated decision-making systems Establish best practices for responsible AI development and deployment What you'd have: AI-ML Engineer or Data Scientist with 3 11 years of relevant experience Strong expertise in modern AI frameworks and tools: ML/DL frameworks (TensorFlow, PyTorch, Keras, Sklearn) LLM frameworks (LangChain, LlamaIndex, CrewAI, AutoGen) Vector databases (Pinecone, Weaviate, ChromaDB) – Good To Have Hands-on experience with: Generative AI and foundation models Prompt engineering and LLM fine-tuning AI agent development and orchestration RAG (Retrieval-Augmented Generation) systems Proven experience in data preparation, including: Advanced data preprocessing techniques Feature engineering Data quality assessment and improvement Proficiency in data exploration tools (Pandas, Numpy, Polars) Strong programming skills in Python; R is a plus Deep understanding of: Statistics and probability ML/DL algorithms AI governance and responsible AI practices Experience with: Large-scale data processing Model deployment and MLOps Cost optimization for AI systems Track record of 3-5 successful AI/ML projects in production Excellent communication skills and team leadership ability Continuous learning mindset for emerging AI technologies Skills: Statistics and Mathematics Classical Machine Learning Deep Learning and Neural Networks Generative AI and LLMs Agentic AI Development MLOps and Production Engineering Data Engineering Model Optimization and Tuning AI Governance and Ethics Team Leadership Why join us? Impactful Work: Drive innovation in AI technologies while safeguarding Tanla's assets, data, and reputation Growth Opportunities: Be part of a rapidly growing company in the telecom and CPaaS space, with clear paths for professional advancement Innovative Environment: Work with a world-class team on cutting-edge AI technologies in a challenging and collaborative environment Research Opportunities: Contribute to the advancement of GenAI and Agentic AI technologies Tanla is an equal opportunity employer. We champion diversity and are committed to creating an inclusive environment for all employees. www.tanla.com