1456 Generative Ai Jobs - Page 43

Position Title Head (AI/ML) Reporting to CTO and Founder, Advisory Board. Job locations - Gurugram Role Description This is a full-time on-site role for a Head (AI/ML) in Gurugram. The Head will be responsible for leading the AI/ML strategy and implementation, overseeing software development, managing IT projects, defining IT strategies and architectures, and driving product development initiatives. The candidates should be at least 10 years experience with 3-5 year in the field of AI/ML. Exposure to healthcare will be added advantage. Qualifications Software Development skills Project Management skills IT Strategy and Architecture expertise Product Development experience Strong background in AI/ML technologies Excellent leadership and communication skills Ability to collaborate with cross-functional teams Experience in the healthcare IT industry is a plus Master's degree in Computer Science or related field Education qualification Master in Computer Science or equivalent Experience range 10 years with 3 4 year in AI/ML Mandatory skills, domain etc Please submit your resume along with a cover letter highlighting your relevant experience and skills & other details like Current CTC (fixed plus variable) Offer in hand (fixed plus variable) Expected CTC Notice period Current Location Open to work from office at Gurgaon Experience in Healthcare domain( good to have) Hands on experience and self rating in the scale of 10 , 10 being the maximum 1. GenAI 2. Predictive AI 3. LLM 4. DL 5. NLP 6. Computer vision/ Assuring you of the best assistance in search of the right career opportunity Thanks & Regards, Surender Intelli Search Services Pvt Ltd, Email: sp@intellisearchonline.net Mobile: 9590270707

Job Title: Generative AI Specialist Experience: Total 7+ Years | Relevant - 3 to 5 Years Location: Hyderabad Employment Type: Full-Time Job Description We are seeking a highly skilled and innovative Generative AI Engineer to join our team. The ideal candidate will have a strong background in designing, developing, and deploying AI models, particularly in the domain of generative AI and large language models (LLMs). Key Responsibilities Design & Development: Architect and build generative AI models, algorithms, and frameworks. Model Implementation: Integrate AI models into existing systems and applications. LLM Expertise: Work with tools like LangChain, Haystack, and apply prompt engineering techniques. Data Handling: Preprocess and analyze data for model training and evaluation. Cross-functional Collaboration: Partner with data scientists, product managers, and other stakeholders. Testing & Deployment: Evaluate model performance and deploy models to production. Monitoring & Optimization: Track model performance and continuously improve results. Research & Innovation: Stay updated with the latest advancements in generative AI. Required Skills Proficiency in Python for AI development. Strong understanding of Generative AI , NLP , and LLMs . Experience with RAG pipelines and vector databases . Familiarity with frameworks like LangChain , Haystack , and other open-source libraries. Knowledge of prompt engineering and tokenization . Experience in fine-tuning and integrating AI models in production. Excellent communication and problem-solving skills. Optional Skills Experience with cloud platforms (GCP, AWS, Azure). Familiarity with MLOps and DevOps practices. Why Join Us? Work on cutting-edge AI technologies. Collaborate with a passionate and talented team. Opportunity to innovate and shape the future of AI applications. How to Apply Interested candidates can apply directly through Naukri or send your updated resume to shilpa.shapur@Excelra.com

We are seeking an experienced Python Developer to contribute to the design and development of Generative AI-based applications. The ideal candidate will have strong backend development skills with experience in modern frameworks and a good understanding of AI integration. Key Responsibilities: Develop and maintain Python-based applications using FastAPI and Django Build and scale RESTful APIs for enterprise applications Collaborate with frontend teams using React JS and Kendo UI Ensure secure integration with authentication systems like Entra ID and Keycloak Design, implement, and optimize PostgreSQL databases Participate in troubleshooting, debugging, and performance tuning (Optional) Work with Large Language Models (LLMs) and Vector Databases. Location - Chennai/Bangalore/Hyderabad/Noida.

Overview The Executive Vice President of the Data Intelligence Group will lead, mentor, and develop a team of Associates and Analysts. This role involves overseeing and driving initiatives related to data migration, data management, architecture, and advanced analytics for our clients. We seek a strategic leader with a proven track record in managing large-scale data projects, advanced analytics, and expertise in Big Data technologies. The ideal candidate will have deep knowledge in Machine Learning (ML), Artificial Intelligence (AI), and a foundational understanding of Generative AI. This position offers a dynamic path for learning and growth, with high exposure to stakeholder management and client engagement. Key Responsibilities: Lead and manage large-scale data migration projects, ensuring successful execution and stakeholder satisfaction Develop and implement data management strategies and architectural frameworks that support business objectives Oversee advanced analytics initiatives, leveraging data to inform strategic decision-making Consult and interact regularly with clients, acting as a thought partner to understand their needs and drive value Collaborate with cross-functional teams to deploy ML models and AI solutions that drive innovation and efficiency Manage teams working across multiple projects for different clients, ensuring high performance and effective collaboration Foster a culture of continuous improvement, encouraging the team to adopt best practices in data engineering and analytics Mentor and develop team members, nurturing talent in areas such as NLP, predictive analytics, and LLMs Stay abreast of industry trends and technologies, ensuring the organization remains competitive in data analytics and management Familiarity with a variety of data-related fields, including but not limited to: Data Engineering and Management Artificial Intelligence (ML, Deep Learning, Generative AI) Cloud Architecture and Analytics (Azure, AWS, GCP) DevOps and Platform Engineering Software Development and Application Architecture Business Intelligence Solutions (Power BI, Tableau) Qualifications 10+ years of experience in data management, solution architecture, analytics, and project oversight Proven experience in managing large-scale data migration and complex analytics projects Strong experience in cloud architecture and solution design Strong background in Machine Learning, AI, and Generative AI Experience in the BFSI sector is preferred Education Bachelors degree in Technology (B.Tech) or Master of Computer Applications (MCA) is required; MBA or MS preferred Compensation The compensation structure will be as per industry standard

We are looking for a Lead Machine Learning Engineer to join the Data Science team with the athena.intelligence division. You will be responsible for the end-to-end development and deployment of machine learning models across a variety of healthcare products and domains, develop roadmaps for development and implementation of data science initiatives, and work collaboratively to influence product and engineering stakeholders. About you: You love to own important work and find it difficult to turn down a good challenge. You have a strong track record of development and evaluation of ML models, and leading projects or teams in development of ML models. You excel at building relationships and influencing at senior leadership levels and possess an eagerness to learn and disseminate new knowledge. You have strong communication skills and enjoy working with colleagues from a variety of technical and non-technical backgrounds. Finally, you have a strong interest in improving healthcare. About the team The data science team is bringing machine learning to bear against the hardest problems in healthcare. We are working with product and engineering leaders across the company to build machine learning into our Best In KLAS suite of products. We work hand-in-hand with platform engineers to deploy state-of-the-art machine learning models using cloud technologies. Job Responsibilities As a leader of the Data Science team, you are expected to stay abreast and evaluate the latest in data science technologies and determine how to incorporate these into our data science best practices . Integrate with and broadly support the data science team in executing developed roadmaps; identify and document project dependencies; coordinate efforts across the team to ensure completion and effectiveness Contribute to the training and development of junior staff members Develop and follow conventions and best practices for modeling, coding, architecture, and statistics; hold other team members accountable for doing so Contribute to the development of internal tools and data science team standards Work collaboratively across the Infrastructure, Platform, UX, and Product organizations to ensure alignment towards business goals Typical Qualifications: Advanced degree (PHD, MS) in relevant field. For example, but not limited to: math, computer science, computer science, data science 8+ years of professional experience designing, building, training, deploying and evaluating machine learning models in production software environments at scale Experience with development and implementation of Deep Learning Models with complex neural network architectures is a bonus Experience with training & fine tuning LLMs & GenAI models is a bonus. Experience collaborating with cross functional teams or leading cross functional efforts Proficiency with python strongly preferred Have strong NLP skills or computer vision experience, AWS experience strongly preferred

Role & responsibilities IT developer OJT(On The JOB Training) with AI, Web, Mobile, AI, Android, Flutter, PHP, REACT-NODE, python-django & ML/DL Internships are available For NON IT graduates, we will train you in live AI/IOT/Web/Mobile projects of USA startups. Full time opportunity after Successful Internships. Additional training will be provided for freshers along with 2 year Master degree & 3 year degree enrollments. Preferred candidate profile Fast & SLOW self learner programs. Good understanding of Accounting, healthcare and business application exposure is required.

Job Overview: We are seeking a highly skilled and dynamic Automation Engineer to lead the automation of MIS reporting dashboards and the integration of Generative AI (Gen AI) agents across key organizational workflows. This role blends technical automation with innovative AI integration to enhance business intelligence, customer support, product quality testing, and internal process efficiency. Key Responsibilities: 1. Automation of MIS Reporting & Dashboards: Design, automate, and maintain MIS reporting processes to enhance decision-making. Build real-time automated dashboards across departments using integrated data sources. Consolidate data from databases, CRMs, ERPs, and other systems into streamlined reporting pipelines. Ensure data consistency, accuracy, and integrity in all dashboards and reports. Work with business stakeholders to close reporting gaps and inefficiencies . 2. Development & Integration of Gen AI Agents: Develop and deploy Generative AI agents to automate product workflows, support functions, and quality testing. Build AI-driven solutions for handling customer support inquiries , reducing manual workload. Integrate AI-based testing bots into CI/CD pipelines to ensure automated product quality assurance. Collaborate with product teams to identify opportunities for AI-driven automation across the organization. Continuously improve the performance and effectiveness of Gen AI agents based on feedback and business goals. 3. Cross-Team Collaboration: Work closely with data engineers , analysts , and business teams to align reporting and automation outputs with organizational needs. Collaborate with product managers , developers, and AI experts to embed AI into operational workflows. Act as a subject matter expert on automation tools and Generative AI applications. 4. Continuous Improvement & Optimization: Stay informed about the latest AI and automation technologies and industry trends. Identify improvement areas in current workflows and propose scalable automation solutions. Ensure performance, scalability, and cost-efficiency of all automation efforts. Required Skills & Qualifications: Technical Expertise: Automation Tools: Strong proficiency in automation frameworks for data extraction, transformation, and dashboard/report generation. AI/ML Knowledge: Deep understanding of Generative AI , machine learning algorithms , and related frameworks. Cloud & Databases: Hands-on experience with cloud platforms (AWS, GCP, Azure), SQL/NoSQL databases , and data warehouses. System Integration: Experience with API integrations , microservices , and automated workflow tools. Workflow Automation: Familiarity with tools like RPA , chatbots , and AI-based task automation. Soft Skills: Analytical Thinking: Excellent problem-solving abilities for complex automation and AI integration tasks. Communication: Strong verbal and written communication; able to convey technical topics to non-technical teams. Project Management: Ability to handle multiple projects, set priorities, and meet deadlines without compromising on quality. Adaptability: Self-driven learner comfortable with emerging tools and changing tech environments. Preferred Experience: Proven success in automating reporting systems and dashboards, ideally in a B2B SaaS or tech environment . Practical experience with Gen AI agent development and integration in customer support , QA , or workflow automation . Demonstrated ability to design scalable automation solutions in a cloud-first environment . Experience working with large datasets and data processing pipelines.

About the Role A key enabler of our services is leveraging data in delivering client solutions. As customer datasets grow richer and business challenges become more complex, ZS's Advanced Data Science function plays a central role in developing and delivering innovative solutions. This team focuses on: Researching evolving datasets and advanced analytical techniques to develop new offerings/solutions Delivering measurable client impact by implementing these solutions Providing thought leadership by shaping ZS's point of view in the data science space What You'll Do Lead and mentor a team of data scientists, ensuring delivery excellence across client engagements Design and implement advanced data science strategies that align with organizational goals Apply statistical, algorithmic, and visualization techniques to model complex business problems and uncover insights Drive business and strategy development through project delivery and client relationship management Develop and sell new business opportunities through data science-based solutions Oversee multiple projects, managing timelines, deliverables, and team performance Play a key role in developing scalable data science capabilities and reusable analytic platforms Motivate and coach team members; serve as a role model in fostering collaboration and continuous learning Contribute to thought leadership through research, publication, and innovation initiatives What You'll Bring PhD in Computer Science, Statistics, or a related field preferred (10+ years experience required in lieu of PhD) 8+ years of relevant work experience in data science, analytics, or AI Strong expertise in advanced analytics techniques such as predictive modeling, NLP, Gen AI, recommender systems, and social listening Hands-on experience with big data technologies and platforms (e.g., AWS, Azure) Proficiency in Python or R for statistical programming Experience managing agile projects and data science delivery across cross-functional teams Strong business acumen and a proven track record of developing client relationships and business development Previous experience in healthcare, pharma, or life sciences domains preferred Excellent communication skillsboth verbal and writtenwith the ability to present complex ideas to senior stakeholders A detail-oriented, research-driven mindset with strong critical thinking and problem-solving capabilities

KEY ACCOUNTABILITIES Drive projects along Supply Chain business processes; deep knowledge and working experience into Sourcing and External Supply Chain Management Serve as the technical SME on technology for GMI Supply Chain teams, uncovering key business questions and providing analysis, insights, and solutions to answer them. Work as an SME to define project requirements in collaboration with internal business clients/users; Establish best in industry practices for sourcing tools and eliminate gaps via partnership with D&T architects; communicate throughout the entire development process. Partner in developing new capabilities that leverage the Cloud /SAAS platforms. Work with a leadership mindset to own Sourcing / External Supply Chain Management processes Use external perspective and internal relationships to improve how we work and what we deliver keep abreast of what is happening within the Digital sourcing space. MINIMUM QUALIFICATIONS Education Full time graduation from an accredited university. Full time Bachelor s/master s degree in computer science/electronics, or any equivalent relevant discipline is preferred (Mandatory- Note: This is the minimum education criteria which cannot be altered) 10+ years of strong technical experience with Web based/ Cloud & Database technologies 5+ years of as Functional and Technical Analyst in requirements gathering, implementing, supporting IT /software solution. Strong Functional knowledge of Sourcing / Supply Chain processes especially in Global CPG/ FMCG industry Strong working knowledge of various Sourcing/ Procurement related tools & platforms, preferably SAP, Coupa, GCP Working knowledge of Generative AI/Intelligent Automation in Sourcing / Contract insights Strong verbal and written communication skills Solution oriented mindset with strong problem-solving & analytical skills Experience of leading & driving technical projects or teams PREFERRED QUALIFICATIONS Recent Hands-on experience with Supply Chain /ESC External Supply Chain Procurement/Finance transformation tools, platforms, process etc. Experience with real time system/data integrations, ETL & reporting technologies Excellent stakeholder management skills including leadership & vendors. Team player, self-driven individual. Ability to deal with ambiguous ask & situations Strong knowledge/Experience of SDLC with an Agile/SCRUM delivery experience Expert: SQL , ETL tech, Sourcing / External Supply Chain Processes, Problem Solving Intermediate: Data Lake / Warehousing, Analytical / Data Skills, Generative AI /Intelligent Automation, GCP-Bigquery Basic: Cloud, Tableau / Google Data Studio, SAP MM, DevOps CI/CD

Role & responsibilities Conduct comprehensive assessments of the organization's ML maturity, identifying strengths, weaknesses, and areas for improvement. Provide strategic recommendations to enhance the overall ML capability and align it with business objectives. Develop ML Ops roadmaps and establish robust processes for the end-to-end machine learning lifecycle, including data preparation, model training, deployment, and monitoring. Implement best practices in ML Ops to ensure efficiency, scalability, and reliability of ML systems. Implementation of Gen AI Solutions: Lead the design and implementation of state-of-the-art Generative AI solutions, leveraging deep learning frameworks such as TensorFlow and PyTorch. Drive innovation in Gen AI, staying abreast of the latest advancements and incorporating cutting-edge technologies into solutions. Preferred candidate profile Bachelor's or advanced degree in Computer Science, Data Science, or a related field. Over 8 years of hands-on experience in machine learning, with a focus on architecting end-to-end solutions. Proven expertise in conducting ML maturity assessments and developing ML Ops roadmaps. Hands-on experience in operationalizing the Machine learning system on a cloud and / or an On-Prem platform. Experience in implementing Generative AI solutions, including incubation, design, and deployment will be a big plus. Perks and benefits Best in the Industry Regards Supriya yadav 8377028382 supriya @mounttalent.com

Role & responsibilities Job location : - Bengaluru/Gurgaon/Mumbai/Pune/Hyderabad Participate in visioning workshop & develop innovative AI strategy & architecture frameworks tailored to the unique goals and aspirations of our clients, ensuring alignment with their evolving needs and preferences. Conduct comprehensive evaluations of clients' existing processes, technologies, and data ecosystems, uncovering opportunities for AI integration that resonate with Gen AI values and lifestyles. Align with industry & function teams, understand business problems, and translate it to AI & Analytics solutions! Develop target strategy with respect to AI & GEN AI needs along with Key initiatives & roadmap. Who are we looking for? Years of Experience: Candidates should typically have at least 5-8 years of experience in AI strategy, management, or a related field. This experience should include hands-on involvement in developing and implementing AI strategies for clients across various industries Education: A bachelors or masters degree in computer science, Data Science, Engineering, Statistics, or a related field. Perks and benefits Best in the Industry Regards Supriya yadav 8377028382

Title : Lead Data Scientist/ML Engineer (6+ years & above) Required Technical Skillset : (GenAI is must) Language : Python , PySpark Framework : Scikit-learn, TensorFlow, Keras, PyTorch, Libraries : NumPy, Pandas, Matplotlib, SciPy, Scikit-learn - DataFrame, Numpy, boto3 Database : Relational Database(Postgres), NoSQL Database (MongoDB) Cloud : AWS cloud platforms Other Tools : Jenkins, Bitbucket, JIRA, Confluence A machine learning engineer is responsible for designing, implementing, and maintaining machine learning systems and algorithms that allow computers to learn from and make predictions or decisions based on data. The role typically involves working with data scientists and software engineers to build and deploy machine learning models in a variety of applications such as natural language processing, computer vision, and recommendation systems. The key responsibilities of a machine learning engineer includes : - Collecting and preprocessing large volumes of data, cleaning it up, and transforming it into a format that can be used by machine learning models. - Model building which includes Designing and building machine learning models and algorithms using techniques such as supervised and unsupervised learning, deep learning, and reinforcement learning. - Evaluating the model performance of machine learning models using metrics such as accuracy, precision, recall, and F1 score. - Deploying machine learning models in production environments and integrating them into existing systems using CI/CD Pipelines, AWS Sagemaker - Monitoring the performance of machine learning models and making adjustments as needed to improve their accuracy and efficiency. - Working closely with software engineers, product managers and other stakeholders to ensure that machine learning models meet business requirements and deliver value to the organization. Requirements and Skills : Mathematics and Statistics : - A strong foundation in mathematics and statistics is essential. - They need to be familiar with linear algebra, calculus, probability, and statistics to understand the underlying principles of machine learning algorithms. Programming Skills : - Should be proficient in programming languages such as Python. - The candidate should be able to write efficient, scalable, and maintainable code to develop machine learning models and algorithms. Machine Learning Techniques : - Should have a deep understanding of various machine learning techniques, such as supervised learning, unsupervised learning, and reinforcement learning and should also be familiar with different types of models such as decision trees, random forests, neural networks, and deep learning. Data Analysis and Visualization : - Should be able to analyze and manipulate large data sets. - The candidate should be familiar with data cleaning, transformation, and visualization techniques to identify patterns and insights in the data. Deep Learning Frameworks : - Should be familiar with deep learning frameworks such as TensorFlow, PyTorch, and Keras and should be able to build and train deep neural networks for various applications. Big Data Technologies : - A machine learning engineer should have experience working with big data technologies such as Hadoop, Spark, and NoSQL databases. - They should be familiar with distributed computing and parallel processing to handle large data sets. Software Engineering : - A machine learning engineer should have a good understanding of software engineering principles such as version control, testing, and debugging. - They should be able to work with software development tools such as Git, Jenkins, and Docker. Communication and Collaboration : - A machine learning engineer should have good communication and collaboration skills to work effectively with cross-functional teams such as data scientists, software developers, and business stakeholders.

Job Title: Generative AI Engineer Location: Bangalore or Hyderabad Experience Required: 35 years (with 12 years in Generative AI/LLMs) Employment Type: Full-Time About the Role We are looking for a passionate and experienced Generative AI Engineer to join our AI/ML team. In this role, you will work with technologies like OpenAI, LLaMA, and Databricks-hosted models to design, build, and deploy real-world GenAI solutions. You’ll be involved in everything from feeding data into models, improving their performance, to integrating them into live products. Key Responsibilities Develop and deploy LLM-based solutions using GPT, LLaMA, or fine-tuned models Manage end-to-end GenAI projects from proof of concept to production Build scalable data pipelines for LLM training and inference Optimize model performance using prompt engineering, fine-tuning, DeepSpeed, and other techniques Host and manage models on Databricks and integrate them with data platforms Collaborate with data scientists, MLOps, and product teams to ensure AI solutions meet business goals Continuously enhance the performance, scalability, and usability of LLM-based systems Required Skills 3–5 years of engineering experience, with 1–2 years in Generative AI or LLMs Strong Python skills and experience with AI/ML frameworks Hands-on experience with OpenAI APIs, LLaMA models, LangChain, DeepSpeed Experience working with Databricks (Unity Catalog, MLflow) and AWS services (S3, EC2, Lambda) Good understanding of LLM architecture and model optimization techniques Proven track record in deploying real-world GenAI applications

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients . Powered by our purpose - the relentless pursuit of a world that works better for people - we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of Principal Consultant , Generative AI + Agentic AI ! In this role, we are seeking a highly skilled and experienced AI Engineer with hands-on expertise in Generative AI, AWS Bedrock, Azure Open AI, Document Intelligence tools, Huggingface , Agentic AI, and Advanced Data Pipelines . It%27s platforms semantic kernel, autogen , langchain . Responsibilities Architect and implement advanced generative AI models, focusing on applications such as image and text generation, image and document extraction, RAG, Prompt engineering, and synthetic data generation. Advanced Prompt Engineering techniques. Stay at the forefront of AI/ML and generative AI advancements, driving the adoption of new technologies and best practices within the team. Develop, fine-tune, and optimize generative AI models, ensuring they meet performance, scalability, and business objectives . Firm grasp on tools to compare outputs of each model and compare against each other. Apply solid data science principles to enhance AI/ML models, using statistical analysis and machine learning techniques to improve model accuracy and efficiency. Work closely with data engineers, software developers, and product managers to integrate generative AI models into products and services, aligning with business objectives . Ensure that AI models are designed and deployed with ethical considerations, adhering to industry standards and regulatory requirements. Qualifications we seek in you! Minimum Q ualifications / Skills B achelor&rsquos or M aster&rsquos degree in computer science, AI, Machine Learning, Data Science, or a related field, with 5+ years of experience in AI/ML, particularly with generative AI models. Strong expertise in developing and deploying generative AI models. Proficiency in Python and experience with AI development libraries such as TensorFlow and PyTorch . Experience with Azure OpenAI, Open Source LLMs, and LangChain . Solid experience in applying data science principles, including statistical analysis, data preprocessing, and machine learning, to enhance AI/ML models. Preferred Q ualifications / Skills Familiarity with advanced techniques such as Retrieval-Augmented Generation (RAG), fine-tuning, prompt engineering, and zero-shot learning. Familiarity with NLP or computer vision related to generative AI applications. 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. For more information, visit Follow us on X , Facebook, LinkedIn, and YouTube. 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 .

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose - the relentless pursuit of a world that works better for people - we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of Principal Consultant - Generative AI In this role, you will be responsible for creating cutting-edge artificial intelligence solutions that possess a broad understanding of diverse tasks and domains. You will contribute to the development of intelligent systems capable of adapting and learning across a wide range of applications. Responsibilities . experience in Cloud & Generative AI . Hands-on knowledge in Large Language Models from OpenAI, Meta, Google, Hugging Face etc. - demonstrate ability to implement solutions leveraging LLMs . Working knowledge of generative models, prompt engineering, fine-tuning - to implement innovative AI use cases . Collaborate with the architect to develop prototypes, conduct PoCs . Collaborate with service line teams to design, implement and manage Gen-AI solutions . Define and document best practices and strategies regarding deployment and infrastructure maintenance . Good understanding of AWS/Azure primarily focus on AI ecosystems such as Elasticsearch, Azure OpenAI/Cognitive services . Ability to write robust code in Python Java, React, RDBMS (Postgres) - Transactional and Analytical databases . (More than 1 language including Python is preferred) . Experience with Docker and Kubernetes . Experience with Agile Development. Qualifications we seek in you! Minimum Qualifications / Skills . BE/B.TECH . Strong understanding of generative AI models and algorithms. . Proficiency in at least one Generative AI Model (OpenAI ChatGPT, llama, Claude 2, etc.). Preferred Qualifications/ Skills . Self-starter . Highly motivated/passionate for new technologies, engineering mindset . Strong teamwork, problem-solving, and analytical skills . Good communication 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. Get to know us at www.genpact.com and on X, Facebook, LinkedIn, and YouTube. 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.

Job Title: AI & ML Trainer (With Expertise in Generative AI & Content Creation) Location: On Site- Bangalore Job Type: Full-time Experience Level: 5+ years in AI/ML training and content development About Us MAA Academy is dedicated to upskilling professionals in cutting-edge AI & ML technologies. We believe in empowering individuals with practical, real-world knowledge and enabling them to harness AIs full potential. As we expand our offerings, we are looking for a passionate AI & ML Trainer who can design, create, and deliver impactful learning experiences in AI, ML, and Generative AI. Role Overview We are seeking an experienced and highly passionate AI & ML Trainer who is well-versed in Machine Learning (ML), Deep Learning, Generative AI, and Large Language Models (LLMs). The ideal candidate should have a strong technical background, a passion for teaching and upskilling professionals and students, and the ability to design structured training programs. This role involves creating engaging course content, conducting hands-on training, and mentoring learners to enhance their AI & ML expertise. Educational Qualifications: Mandatory: Bachelor's or Masters degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or related technical fields. Preferred: Ph.D. or ongoing doctoral work in AI/ML or Data Science (especially if teaching at university level). Certifications from reputed institutions in: Machine Learning (e.g., Andrew Ngs ML course Stanford/Coursera) Deep Learning Specialization Gen AI (e.g., Prompt Engineering, GPT usage, etc.) Cloud ML Platforms (e.g., AWS ML Specialty, Google Cloud AI Engineer) Key Responsibilities 1. Training & Facilitation Deliver high-quality AI & ML training sessions (live/recorded) to professionals, and students. Conduct hands-on coding sessions using Python, TensorFlow, PyTorch, and other ML frameworks. Guide learners in building real-world AI applications and ML models. Provide one-on-one mentorship to resolve technical doubts and support learning progress. 2. Content Development & Course Design Design structured AI & ML learning programs aligned with industry trends. Develop engaging learning materials, including presentations, coding exercises, quizzes, and projects. Create video content, tutorials, and blogs on AI, ML, and Generative AI concepts. Keep course content up to date with the latest advancements in AI, including LLMs, Transformers, Diffusion Models, and AI Agents. 3. Generative AI & Advanced Technologies Teach concepts related to Generative AI (ChatGPT, DALL•E, Midjourney, Stable Diffusion, etc.). Guide learners in building AI-powered applications using APIs from OpenAI, Hugging Face, and other AI providers. Explain AI ethics, biases, and responsible AI to ensure learners apply AI solutions ethically. 4. Engagement & Professional Development Foster an interactive and engaging learning environment. Organize webinars, hackathons, and AI challenges for learners. Stay updated with emerging AI research and incorporate the latest developments into training. 5. Industry & Project-Based Learning Develop capstone projects that mirror real-world AI problems. Help learners build portfolio-worthy AI projects for career growth. Collaborate with industry partners to bring case studies and real AI applications into learning. Required Skills & Qualifications Technical Expertise Strong proficiency in Machine Learning, Deep Learning, and AI frameworks (TensorFlow, PyTorch, scikit-learn, etc.). Hands-on experience with Generative AI models (GPT, Stable Diffusion, BERT, LLaMA, etc.). Familiarity with ML Ops, AI Deployment, and Cloud Platforms (AWS, GCP, Azure). Strong programming skills in Python (NumPy, Pandas, OpenCV, Hugging Face, LangChain, etc.). Knowledge of AI Ethics, Explainable AI (XAI), and Bias Mitigation Techniques. Training & Content Development Proven experience in designing and delivering AI/ML training programs. Ability to create high-quality AI learning content (videos, courses, assignments, projects). Experience with LMS platforms, e-learning tools, and AI-powered course creation tools. Passion for Upskilling & Teaching Strong communication and presentation skills. A growth mindset and commitment to mentoring professionals. Ability to simplify complex AI concepts for different learner levels. Preferred Qualifications (Nice-to-Have) Industry experience in AI/ML-based projects. Certifications in AI/ML (Google TensorFlow Developer, AWS ML, etc.). Experience with AI Agent frameworks, RAG models, and AI-driven automation. Familiarity with AI & ML applications in Finance, Healthcare, Retail, etc. What We Offer Opportunity to work with a cutting-edge AI learning platform. Access to the latest AI/ML research & industry collaborations. Remote-friendly work environment (if applicable). A passionate and collaborative team focused on upskilling the next-gen AI workforce. How to Apply If you are excited about teaching, AI innovation, and upskilling professionals, wed love to hear from you! Send your resume and a short cover letter to Sharmila@maa.co.in Join us in shaping the future of AI education!

Key Responsibilities Design and deploy Large Language Model (LLM)-based applications and GenAI systems. Work closely with internal teams and client stakeholders to gather requirements and deliver scalable AI solutions. Develop and integrate Retrieval-Augmented Generation (RAG) pipelines. Build, test, and deploy APIs and services that bring AI capabilities into business platforms. Perform model optimization, evaluation, and prompt engineering. Mentor junior team members and review technical deliverables. Ensure security, compliance, and ethical usage of AI models in regulated domains. Collaborate with product, design, and engineering teams to shape AI solutions for enterprise clients. Technical Requirements Must-Have Skills 7-10 years of overall experience in AI/ML, with 2-3 years in Generative AI and LLMs. Strong coding skills in Python; familiarity with PyTorch, TensorFlow, or JAX. Experience with: HuggingFace Transformers, LangChain, and OpenAI/Cohere/Claude APIs. Prompt engineering, fine-tuning, and custom embeddings. Proficiency in developing and deploying APIs using FastAPI or Flask. Experience with Docker and containerized deployment. Cloud exposure: Azure, AWS, or GCP, especially ML services like SageMaker, Vertex AI, or Azure ML. Nice-to-Have Skills Experience with vector databases (FAISS, Pinecone, Weaviate). Knowledge of MLOps pipelines and CI/CD for ML workflows. Understanding of responsible AI practices, hallucination reduction, and bias detection. Previous work experience in finance, audit, regulatory, or consulting sectors. Additional Information Leadership in AI project delivery and solution design. Excellent communication and stakeholder engagement skills. Team player with mentoring abilities and technical decision-making confidence. Adaptability to dynamic project requirements and regulatory constraints. Excellent communication and interpersonal skills. Strong problem-solving and debugging skills. Proactive in delivering quality work within deadlines.

Location : JP Nagar, Bangalore Mode of work: Work from Office Experience: 6 months 1.5 years Notice period : Immediate Joiners Only Mode of Interview : Face to Face Were looking for enthusiastic AI/ML talent to work on exciting projects in Generative AI, NLP, LLMs, and Deep Learning. Strong programming skills in Python and SQL Hands-on experience with ML/DL libraries NumPy, Pandas, Scikit-learn, TensorFlow, Keras, PyTorch Good understanding of data preprocessing, feature engineering, model training & evaluation Experience working with Django or Flask Experience with Generative AI Familiarity with Deep Learning, NLP, LLMs, Exposure to data visualization tools Matplotlib, Seaborn, Tableau, Power BI Strong problem-solving skills and attention to detail Excellent communication skills Ability to thrive both independently and in a collaborative team setting

Requirements: A proven track record with 5+ years of experience in AI/ML platform management or a similar role Deep expertise in machine learning, data analytics, and cloud computing Extensive hands-on experience with platforms and tools such as Dataiku , Azure ML, Azure AI, Foundry, and related systems Strong knowledge of agile methodologies, DevOps practices, and CI/CD pipeline management Demonstrated ability to manage multiple priorities in a fast-paced and dynamic environment Proven leadership skills in guiding cross-functional teams and driving large-scale technology initiatives Experience with Agile methodologies is a plus More details kindly share cv to admin@spearheadps.com or WhatsApp at 9899080360

Our client is a global aviation powerhouse and one of the most recognized names in the airline industry. As a marquee player in the aviation space, the company is undergoing a bold digital transformationreimagining its operations, customer experience, and business strategy through the lens of data, AI, and cloud innovation. From predictive maintenance and personalized travel experiences to dynamic pricing and intelligent crew scheduling, data is at the core of every strategic initiative. We are seeking to identify a senior technology leader to spearhead the companys Data and AI Engineering of a high-impact global team that supports critical digital and operational functions across the enterprise. This role will be responsible for technology and team leadership to a cross-functional group of engineers and data scientists, partnering with global stakeholders across Digital Technology, Operations, Commercial, and corporate functions. The Job Provide leadership for high-impact data and machine learning engineering programs across global business functions. Drive development and management of scalable data platforms, pipelines, and AI/ML solutions supporting key enterprise priorities. Guide cross-functional teams in requirement gathering, architecture design, deployment, and change management. Manage a growing team of data and AI professionals and foster a culture of innovation and excellence. Represent the Data & AI Engineering team in global forums and leadership presentations. Your Profile A Bachelors degree in Computer Science, Engineering, or related fields (Master’s preferred). 18+ years of overall experience and 10+ years of digital and data technology experience, with at least 5 years in cloud-based data or AI systems. Expertise in data engineering, database management, and machine learning lifecycle with tools such as SQL, Python, Redshift, AWS Sagemaker, and LLMs. Deep understanding of cloud-native data platforms and modern ML/GenAI applications. Demonstrated ability to manage large-scale technical teams and mentor top talent. Experience in working with global teams and cross-cultural collaboration. Strong communication and stakeholder management skills. Passion for leveraging data and AI to solve complex business challenges and deliver measurable impact. This role is an ideal opportunity to be a part of a global transformation journey for one of the world’s most reputed service companies that relies on data as the core of its excellence and to work with best-in-class technologies and digital platforms across AI, cloud, and enterprise data.

We are looking for a Software Developer - SQL Youll make a difference by: We're seeking a skilled Software Developer with strong database expertise to join our diverse team. The ideal candidate will have extensive experience in SQL development, database design, and optimization, combined with proficiency in modern application development. You'll play a key part in designing and implementing database solutions while developing and maintaining robust applications. We're looking for someone who excels in SQL and relational database management (particularly Oracle DB), supported by strong knowledge of Java, Spring, Hibernate, Angular, and TypeScript. Experience with CICD principles and GitLab is essential for this role. Development: Design, optimize, and maintain complex SQL databases, including writing efficient queries, stored procedures, and database schemas. Develop and implement database solutions to improve performance, scalability, and data integrity. Create and optimize SQL queries for data analysis, reporting, and application integration. Develop new competitive functionalities and support the existing software solutions. Design client-side and server-side architecture. Implement elegant front-end user interfaces using Angular and TypeScript. Integrate back-end systems using Java, Spring, and Hibernate. Ensure database best practices and standards are followed across applications. Monitor and optimize database performance, including query tuning and index optimization. Understanding of Generative AI concepts and applications Knowledge of Large Language Models (LLMs) and Prompt Engineering Experience with data preprocessing and feature engineering Familiarity with the Linux Operating system. Collaboration: Work closely with other developers, product managers, and designers in an Agile environment. Proactively participate in code reviews. Provide mentorship and knowledge sharing within the team. Continuous Integration/Continuous Deployment (CICD): Use GitLab for effective version control, issue tracking, and CICD pipelines. Build and maintain CICD pipelines to automate testing, deployment, and monitoring processes. Youll win us over by: Technical Expertise: Bachelors degree in computer science or a related technical field, or equivalent experience. Strong expertise in SQL and database development, including complex query optimization, stored procedures, and database design. Advanced knowledge of Oracle DB or other relational databases, including performance tuning and administration. Experience implementing AI-powered features in production applications Knowledge of AI/ML model deployment and optimization Excellent Java knowledge with significant experience in Java programming. Excellent analytical skills and an understanding of data structures and algorithms. Experience with object-oriented software design and design patterns. Strong proficiency in Spring framework (Spring MVC) and Hibernate ORM. Proficient in Angular and TypeScript, with experience building responsive front ends. Working knowledge of RESTful API design and development Proven understanding of CICD practices and experience with GitLab. Ability to work independently or with a team in a multifaceted environment. General Qualities: Excellent problem-solving and analytical skills. Strong attention to detail. Passion for staying up to date with the latest web development technologies. Preferred Qualifications Experience with automated testing frameworks (e.g., JUnit, Selenium). Familiarity with agile methodologies like Scrum or Kanban.

About Client Hiring for One of the Most Prestigious Multinational Corporations Job Title: Generative AI Engineer Experience: 8 to 13 years Key Responsibilities : Research, design, and implement Generative AI solutions using foundation models like GPT, PaLM, Claude, or open-source LLMs (e.g., LLaMA, Falcon). Build and fine-tune custom models using Transfer Learning , RLHF , or LoRA for domain-specific applications. Develop intelligent applications using Natural Language Processing (NLP) , Computer Vision , or Multimodal AI . Apply data science techniques for feature engineering, model evaluation, and experimentation. Architect scalable ML pipelines using tools such as MLflow , Kubeflow , Vertex AI , SageMaker , or equivalent. Collaborate with cross-functional teams to understand business challenges and deliver GenAI-driven solutions. Ensure responsible AI practices by implementing explainability, bias detection, and governance mechanisms. Stay up to date with the latest research and trends in AI/ML, LLMs, and GenAI technologies. Technical Skills: Strong hands-on experience with core AWS services: EC2, S3, RDS, Lambda, IAM, VPC, CloudWatch, CloudTrail, ECS/EKS, etc. Expert in Infrastructure as Code (IaC) using Terraform , CloudFormation , or AWS CDK . Strong scripting and automation skills in Python , Bash , or Shell . Experience with containerization and orchestration tools ( Docker , Kubernetes /EKS). Solid understanding of networking, load balancing, and security concepts in the cloud. Experience with monitoring/logging tools like CloudWatch , Prometheus , Grafana , or ELK stack Knowledge of DevOps and CI/CD tools (Jenkins, GitLab CI, AWS CodePipeline, etc.). Familiarity with Agile/Scrum methodologies NOTE : Only immediate and 15 days joiners Notice period : Only immediate and 15 days joiners Location: Bangalore Mode of Work : WFO(Work From Office) Thanks & Regards, SWETHA Black and White Business Solutions Pvt.Ltd. Bangalore,Karnataka,INDIA. Contact Number:8067432433 rathy@blackwhite.in |www.blackwhite.in

Job description: AI/ML/Gen AI Technology Lead Location: Andheri, Mumbai Education: Bachelors or Masters degree in Computer Science, Engineering, Mathematics, or a related field with substantial experience in AI/ML engineering. Job Type: Full-Time Responsibilities: 1) Experience in programming languages such as Python, R, or Java. Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of deep learning, image processing, video analytics, and NLP techniques. 2) Experience in AI/ML Model Development, Agentic AI, Image Analytics, Voice Analytics, Text Analytics, Cloud & Infrastructure, Integration & Deployment. Hands on experience on implementation of LLM Models & Generative AI. 3) Hands-on experience with cloud platforms like AWS and Azure, including: AWS: Amazon SageMaker, AWS Lambda, AWS Glue, Amazon Redshift. Azure: Azure Machine Learning, Azure Databricks, Azure Synapse Analytics, Azure Cognitive Services. If interested, please share cv on priya@hrworksindia.com

We enable #HumanFirstDigital We are looking for an experienced and forward-thinking Automation Architect to define and lead the test automation strategy (in playwrite) across our technology stack, including Generative AI-based applications. he will work closely with engineering, product, and platform teams to build scalable, maintainable, and intelligent automation frameworks. This is a high-impact, strategic role where candidate will set automation standards, drive framework adoption, and architect solutions that enable quality at scale using , Playwright, and SDET best practices. Exposure to Java is a plus. Architect robust, scalable, and modular automation frameworks for UI, API, backend, and AI model testing. Build reusable libraries and utilities to test Generative AI applications, including prompt validation, snapshot testing, and output evaluation. Provide technical leadership and strategic direction across all test automation efforts. Drive shift-left testing, continuous testing, and test-driven development (TDD) practices. Define and implement automation architecture principles across multiple test layers - Unit, Integration, System, and E2E. Establish test governance, coding standards, and CI/CD integration pipelines to support fast, reliable, and automated feedback loops. WE DO NOT HAVE PLAYWRIGHT AS drop down in PRIMARY SKILL. SO PLEASE REFER JD. Our Commitment to Diversity & Inclusion: Our Perks and Benefits: Our benefits and rewards program has been thoughtfully designed to recognize your skills and contributions, elevate your learning/upskilling experience and provide care and support for you and your loved ones. As an Apexon Associate, you get continuous skill-based development, opportunities for career advancement, and access to comprehensive health and well-being benefits and assistance. We also offer: Group Health Insurance covering family of 4 Term Insurance and Accident Insurance Paid Holidays & Earned Leaves Paid Parental Leaveo Learning & Career Development Employee Wellness Job Location : Ahmedabad, India

We are looking for a highly skilled Senior Software Engineer (SDET) who is passionate about automation, test engineering, and quality at scale. The ideal candidate will have hands-on experience in SDET practices, strong Python programming skills, expertise in Playwright for UI automation, and a working knowledge of Generative AI testing frameworks. Exposure to Java and modern CI/CD pipelines is a plus. You will work closely with developers, product managers, and DevOps to ensure the quality of our software products through robust automated testing strategies and performance validation. Design, develop, and maintain automation scripts using Playwright. Integrate automation tests with CI/CD pipelines (e.g., Jenkins, GitHub Actions, CircleCI). Collaborate with development and QA teams to drive a shift-left testing approach. Solid understanding of QA methodologies: Unit, Integration, E2E, Regression, Smoke, etc. WE DO NOT HAVE PLAYWRIGHT AS drop down in PRIMARY SKILL. SO PLEASE REFER JD. Our Commitment to Diversity & Inclusion: Our Perks and Benefits: Our benefits and rewards program has been thoughtfully designed to recognize your skills and contributions, elevate your learning/upskilling experience and provide care and support for you and your loved ones. As an Apexon Associate, you get continuous skill-based development, opportunities for career advancement, and access to comprehensive health and well-being benefits and assistance. We also offer: oGroup Health Insurance covering family of 4 o Term Insurance and Accident Insurance o Paid Holidays & Earned Leaves o Paid Parental LeaveoLearning & Career Development o Employee Wellness Job Location : Ahmedabad, India