633 Gen Ai Jobs - Page 22

As a Senior / Lead Data Scientist specializing in Generative AI and NLP, you will be at the forefront of AI innovation. Your role will involve designing and deploying sophisticated models, including large language models (LLMs), to solve complex business problems. You will work closely with cross-functional teams to create scalable, data-driven solutions that bring AI-driven creativity and intelligence to life across various industries. Generative AI & NLP Development : Design, develop, and deploy advanced applications and solutions using Generative AI models (e.g., GPT, LLaMA, Mistral) and NLP algorithms to solve business challenges and unlock new opportunities for our clients. Model Customization & Fine-Tuning : Apply state-of-the-art techniques like LoRA, PEFT, and fine-tuning of large language models to adapt solutions to specific use cases, ensuring high relevance and impact. Innovative Problem Solving: Leverage advanced AI methodologies to tackle real-world business problems, providing creative and scalable AI-powered solutions that drive measurable results. • Data-Driven Insights: Conduct deep analysis of large datasets, uncovering insights and trends that guide decisionmaking, improve operational efficiencies, and fuel innovation. Cross-Functional Collaboration: Work closely with Consulting, Engineering, and other teams to integrate AI solutions into broader business strategies, ensuring the seamless deployment of AI-powered applications. • Client Engagement: Collaborate with clients to understand their unique business needs, provide tailored AI solutions, and educate them on the potential of Generative AI to drive business transformation. Role & responsibilities Generative AI & NLP Expertise: Extensive experience in developing and deploying Generative AI applications and NLP frameworks, with hands-on knowledge of LLM fine-tuning, model customization, and AI-powered automation. Hands-On Data Science Experience: 6+ years of experience in data science, with a proven ability to build and operationalize machine learning and NLP models in real-world environments. AI Innovation: Deep knowledge of the latest developments in Generative AI and NLP, with a passion for experimenting with cutting-edge research and incorporating it into practical solutions. Problem-Solving Mindset: Strong analytical skills and a solution-oriented approach to applying data science techniques to complex business problems. Communication Skills: Exceptional ability to translate technical AI concepts into business insights and recommendations for non-technical stakeholders.

Job Overview : This is a Full-time role for a Generative AI Engineers for our client in Software Development, in Bangalore/Bengaluru, Karnataka. We are seeking a talented and experienced Generative AI Engineer to join our client team. The ideal candidate will have a strong background in artificial intelligence, machine learning, and programming with a focus on generative models. You will be responsible for designing, developing, and implementing cutting-edge generative AI solutions to solve complex problems and enhance our clients products and services. As part of a cross-functional engineer, you'll work closely with project managers, and DevOps professionals to enhance functionality, optimize workflows, and deliver high-quality Software. Success in this role is measured through key performance indicators (KPIs) such as System Performance, Code Quality, Team Effectiveness, Project Success. Role & responsibilities Design/develop multi-agent AI systems, architect RAG system/knowledge graphs Create proper engineering frameworks Build orchestration systems Implement generative AI techniques Collaborate on custom AI solutions Maintain scalable cloud AI Infrastructure Required Skills & Qualifications : Graduate/ Masters in Computer Science/AI related streams; model skills fine-tuning experience; multimodal AI knowledge; containerization/orchestration skills 3-5 years generative AI/LLM experience; expert Python skills; experience with LLM frameworks, multi-agent systems, vector databases; cloud proficiency (AWS, GCP, Azure) Compensation and Benefits: Base Salary: Competitive salary range based on experience and performance. Bonuses & Incentives: Performance-based bonuses. Health & Wellness: Comprehensive medical insurance. Career Growth: Ongoing training programs, professional development courses, mentorship opportunities, and career advancement prospects. Immediate joiner within 15 days 30 days notice period

6+ yrs of Python exp Exp with Generative AI based sol Exp with TensorFlow, PyTorch, or Hugging Face. Experience with Web APIs: RESTful API design, FastAPI, Flask/Djang Familiarity with AWS, GCP, or Azure for deploying and scaling ML models.

Job Title: Technical Architect Generative AI Experience: 1418 Years Location: Noida Employment Type: Full-Time Job Summary: We are looking for a hands-on Technical Architect Generative AI to lead the design and implementation of AI-driven solutions across cloud-native environments. This role requires deep expertise in GenAI models, LLMs, Python, .NET Core, and Azure. The ideal candidate will actively contribute to coding, solution architecture, PoCs, and guide teams in applying GenAI to real-world business scenarios. Key Responsibilities: AI & Application Development Design and implement GenAI use cases (e.g., document summarization, conversational agents, RAG pipelines). Build and integrate LLMs using Python and Azure AI services. Develop scalable backend services with .NET Core Web APIs . Create modern frontends using Angular (13+) or React . Build PoCs and AI accelerators for enterprise-grade use cases. Architecture & System Design Architect and lead implementation of GenAI/LLM-based solutions on Azure . Build event-driven systems using Kafka, Azure Event Grid , or similar. Drive adoption of cloud-native patterns , security guidelines, and DevOps practices. Enforce code quality (SonarQube), security (Guiderails), and CI/CD pipelines. Stakeholder Collaboration Partner with product owners and business teams to translate workflows into GenAI-driven applications. Collaborate with other architects to define the AI/ML roadmap. Present architectural solutions and ROI-focused GenAI use cases to stakeholders. Leadership & Mentoring Conduct code reviews, performance tuning, and technical troubleshooting. Mentor developers on Python, .NET, LLM integration, and AI solution patterns. Contribute to knowledge sharing and technical upskilling across teams. Must-Have Skills: Programming & Frameworks Python : LLM integration, agentic frameworks, prompt engineering .NET Core : Web API, Entity Framework Angular 13+ / React , TypeScript Cloud & DevOps Azure AI Services : Cognitive Services, AI Builder, OpenAI/Foundry, Logic Apps Azure DevOps : CI/CD, Infrastructure-as-Code (ARM/Bicep) Event-driven architectures using Kafka/Event Grid AI/ML Expertise Generative AI, LLM fine-tuning, prompt design, RAG pipelines MLOps and integration of models in production environments Familiarity with tools like GitHub Copilot Qualifications: 1418 years of overall experience in software architecture and development At least 5+ years in AI/ML and cloud-native solutioning Bachelor's or Master's degree in Computer Science, Engineering, or related field Preferred: Azure Solutions Architect Expert or similar certifications Proven experience in enterprise-scale AI implementations (GitHub/GitLab links are a plus) Soft Skills: Strong communicator with ability to present technical ideas to stakeholders Team leadership and Agile methodology experience Innovation mindset and problem-solving orientation Reach Out: 9045052073

Salary : 15 to 30 LPA Exp: 3 to 6 years Location :Gurugram/Bangalore Notice: Immediate to 30 days..!! Roles & responsibilities: 3+ years exp on Python , ML and GEN AI Interact with the client to understand their requirements and communicate / brainstorm solutions. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Text classification using any of the following : decision trees, knn classification, support vector machines or LDA Exp on SQL would be a plus

Main Skills : AI Architect (Solutions/Technical) - LLM/Gen AI + Any Cloud + Python Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Natural Language Processing (NLP) Roles & Responsibilities: Expected to perform independently and become an SME. Required active participation/contribution in team discussions. Contribute in providing solutions to work related problems. Develop applications and systems utilizing AI tools and Cloud AI services. Apply GenAI models as part of the solution. Implement deep learning and neural networks. Create chatbots and work on image processing. Collaborate with team members to provide innovative solutions. Professional & Technical Skills: Must To Have Skills: Proficiency in Natural Language Processing (NLP). Strong understanding of statistical analysis and machine learning algorithms. Experience with data visualization tools such as Tableau or Power BI. Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: The candidate should have a minimum of 2 years of experience in Natural Language Processing (NLP). Pls share cvs to [HIDDEN TEXT]

Main Skills : AI Architect (Solutions/Technical) - LLM/Gen AI + Any Cloud + Python Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Natural Language Processing (NLP) Roles & Responsibilities: Expected to perform independently and become an SME. Required active participation/contribution in team discussions. Contribute in providing solutions to work related problems. Develop applications and systems utilizing AI tools and Cloud AI services. Apply GenAI models as part of the solution. Implement deep learning and neural networks. Create chatbots and work on image processing. Collaborate with team members to provide innovative solutions. Professional & Technical Skills: Must To Have Skills: Proficiency in Natural Language Processing (NLP). Strong understanding of statistical analysis and machine learning algorithms. Experience with data visualization tools such as Tableau or Power BI. Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: The candidate should have a minimum of 2 years of experience in Natural Language Processing (NLP). Pls share cvs to [HIDDEN TEXT]

What youll be doing: The Wireless Solution Train supports critical network functions and services for 4G/5G wireless applications. We are looking for a dynamic and collaborative individual who will contribute to the growth and evolution of Next Gen OSS for Network systems. Planning, designing, developing, coding and testing software systems or applications for software enhancements and new products; revise and refine as required. Implementing changes and new features in a manner which promotes efficient, reusable and performant code. Participating in product feature implementation, both independently and in cooperation with the team. Maintaining and improve existing code with a pride of ownership. Leading medium to large scale projects with minimal direction. Design, develop, and maintain data pipelines using GCP services such as BigQuery, Dataflow, Cloud Storage, Pub/Sub, and Dataproc. Implement and manage data ingestion processes from various sources (e.g., databases, APIs, streaming platforms). What were looking for... You'll need to have: Bachelor's degree or four or more years of work experience. Four or more years of relevant work experience Experience in Python, Pyspark/Flink Experience on Product Agile model (POD) and have product mindset. GCP experience on BQ, Spanner, Looker Experience in GEN AI solutions & tools Even better if you have one or more of the following: Masters degree or rleted field. Any relevant certification. Excellent communication and collaboration skills. Develop and maintain data quality checks and monitoring systems to ensure data accuracy and integrity. Optimize data pipelines for performance, scalability, and cost-effectiveness. Collaborate with data scientists and analysts to understand data requirements and provide data solutions. Build and maintain Looker dashboards and reports for data visualization and analysis. Stay up-to-date with the latest technologies and best practices in cloud data engineering. (preferred GCP)

Hello, Greetings from GlobalData!!! Job Opening for below roles @ GlobalData -Hyderabad. Data Science Senior Data Science Job Criteria :- Qualification: B.Tech/BE/MCA/M.Tech/B.Sc/M.Sc-(Computers) Experience Range : 2 to 5 years Key Skills : Python, SQL, Gen AI, LLM, Data Science Notice Period : Immediate joiners or with one month notice period Job Location : Hyderabad Work Mode : Hybrid Salary : best as per market standard's Detailed job description given below please go through to understand requirement. If requirement is matching to your profile share your updated resume @ mail id (m.salim@globaldata.com). Mention Subject Line :-Applying for Data Science @ GlobalData-Hyd. Please Share your details in the mail :- Your Full Name : Mobile # : Qualification : Company Name : Designation : Total Work Experience Years : Current CTC : Expected CTC : Notice Period : Present Location : If out-station willing to relocate to Hyd : Yes/No Job Description:- Data Scientist Location: Hyderabad, India Experience: 2+ years About the Role :- We are looking for a Data Scientist with at least 2 years of experience to join our Hyderabad team. The ideal candidate is skilled in Python and SQL, with a strong analytical mindset. Experience with Generative AI (GenAI) or Large Language Models (LLMs) is a plus. Responsibilities Analyze large datasets and extract actionable insights. Build and deploy machine learning models. Write efficient SQL queries for data extraction and analysis. Collaborate with cross-functional teams to deliver data-driven solutions. Present findings to technical and non-technical stakeholders. Requirements Bachelors or Masters in Computer Science, Statistics, Mathematics, Engineering, or related field. 2+ years of experience in Data Science or a similar role. Strong Python and SQL skills. Solid understanding of statistics, machine learning, and data visualization. Excellent problem-solving and communication skills. Preferred Experience with GenAI or LLMs. Familiarity with cloud platforms (AWS, GCP, Azure) and big data tools (Spark, Hadoop). Knowledge of deep learning frameworks (TensorFlow, PyTorch). Job Description: Senior Data Scientist Location: Hyderabad, India Experience: 5+ years About the Role :- We are seeking a Senior Data Scientist with at least 5 years of experience to join our Hyderabad team. The ideal candidate has strong expertise in Python and SQL, hands-on experience with Generative AI (GenAI) or Large Language Models (LLMs), and a proven ability to manage multiple projects. You will lead data science initiatives, ensure timely project delivery, and mentor junior team members. Responsibilities Lead and deliver multiple data science projects on schedule. Design, develop, and deploy advanced machine learning and GenAI/LLM solutions. Guide and mentor junior data scientists, providing technical direction and support. Collaborate with cross-functional teams to define project goals and deliverables. Communicate complex findings clearly to stakeholders at all levels. Requirements Bachelors or Masters in Computer Science, Statistics, Mathematics, Engineering, or related field. 5+ years of experience in Data Science or a similar role. Strong proficiency in Python and SQL. Hands-on experience with GenAI or LLMs. Proven project management and team leadership skills. Deep understanding of statistics, machine learning, and data visualization. Excellent problem-solving, communication, and organizational skills. Preferred Experience with handling data formats like structured (SQL), semi-structured (Elasticsearch) and unstructured (PDF, Images in S3) Experience with cloud platforms (AWS, GCP, Azure) and big data tools (Spark, Hadoop). Knowledge of deep learning frameworks (TensorFlow, PyTorch). Thanks & Regards, Salim (Human Resources)

Job Title: Generative AI Analyst Responsibilities: Large Language Model Data Evaluation & Narrations: Execute data evaluation, narration, and labeling tasks according to client requirements and guidelines with precision and attention to detail for AI model training Language Proficiency: Demonstrate a high level of English language proficiency (C1 level or above) in both written and verbal communication. C1 TOEFL or ielts CERTIFICATION OR Equivalent Adherence to Guidelines : Follow client-specific instructions and guidelines meticulously to produce consistently accurate annotations. Quality Assurance: Perform quality checks on annotated data to maintain high standards of accuracy and completeness. Communication: Collaborate effectively with team members and project managers to address queries and ensure smooth workflow. Feedback Integration: Actively participate in feedback sessions and incorporate constructive feedback into your work to improve annotation quality. Requirements: Language Skills: Proficiency in English at a C1 level or higher, both written and verbal. Attention to Detail: Strong attention to detail and ability to follow guidelines accurately. Adaptability: Ability to adapt to changing project requirements and priorities. Team Collaboration: Strong team collaboration and communication skills. Tech Savvy: Comfortable working with annotation tools and technology platforms.. Generative AI Understanding: Familiarity with generative AI concepts and a keen interest in contributing to the advancement of language generation technologies. Autonomous vehicle: (Good to have skills) Understanding of perception and prediction labeling work in AV domain is a plus.

Lead AI Architect: We are seeking a highly skilled AI Architect to lead our team in developing cutting-edge generative AI solutions. This role requires a deep understanding of AI/ML concepts, strong technical expertise, and exceptional leadership abilities. As the Lead AI Architect, you will be the technical authority responsible for defining the strategy, architecture, and execution of cutting-edge generative AI initiatives. You will lead a talented team, driving the development of innovative solutions from concept through production deployment. This role demands a deep understanding of state-of-the-art AI models, advanced techniques like Retrieval-Augmented Generation (RAG) and fine-tuning, robust MLOps practices, and scalable cloud deployment strategies Role & responsibilities 1. Technical Vision & Architecture: a. Define and champion the technical vision and architectural roadmap for generative AI solutions (LLMs, Diffusion Models, Multimodal Models, etc.). b. Design, architect, and guide the development of sophisticated generative AI systems, incorporating techniques like fine-tuning, prompt engineering, and Reinforcement Learning from Human Feedback (RLHF). c. Architect and implement advanced Retrieval-Augmented Generation (RAG) pipelines, including vector database selection/optimization, chunking strategies, and multimodal RAG approaches. d. Ensure solutions are scalable, performant, cost-effective, reliable, and adhere to responsible AI principles (fairness, transparency, security). e. Stay relentlessly current with academic research and industry advancements in generative AI, MLOps, and related technologies, integrating relevant innovations. 2. MLOps & Lifecycle Management: a. Lead the design and implementation of robust MLOps pipelines for the entire generative AI lifecycle: data ingestion/preprocessing, model training/fine-tuning, validation, versioning (data, code, models), automated deployment, and continuous monitoring. Job Opening b. Establish best practices for model evaluation, performance tracking, drift detection, and ongoing optimization of generative models in production. c. Champion automation, reproducibility, and governance across all AI/ML workflows. 3. Deployment & Integration: a. Oversee the deployment of fine-tuned models and complex AI systems into scalable production environments using cloud platforms (AWS, GCP, Azure, potentially NVIDIA AI Enterprise). b. Design and implement containerized deployments (Docker, Kubernetes) and serverless architectures for AI model serving. c. Develop robust APIs (RESTful, gRPC) for seamless integration of AI capabilities into broader applications and services. d. Optimize models for inference speed and cost efficiency. 4. Leadership & Collaboration: a. Lead, mentor, and inspire a team of AI/ML engineers and data scientists. b. Collaborate closely with product managers, software engineers, data engineers, and business stakeholders to translate requirements into actionable AI strategies and technical designs. c. Effectively communicate complex technical concepts, architectural decisions, and project status to both technical and non-technical audiences, including executive leadership. d. Foster a culture of innovation, experimentation, and continuous improvement within the AI team Preferred candidate profile : • Typically 8-10+ years of hands-on experience in designing, building, and deploying production-grade AI/ML systems, with a significant recent focus (3+ years) on Generative AI. • Generative AI Expertise: Deep understanding and practical experience with foundational models (e.g., GPT series, Llama series, Stable Diffusion, multimodal models), transformer architectures, and key techniques like fine-tuning, prompt engineering, and RAG. • RAG Proficiency: Proven experience architecting and implementing RAG systems, including familiarity with vector databases (e.g., Pinecone, Weaviate, Milvus, ChromaDB) and embedding techniques. • MLOps Mastery: Demonstrable experience designing, building, and managing end-to-end MLOps pipelines using relevant tools and platforms (e.g., MLflow, Kubeflow, Vertex AI Pipelines, SageMaker Pipelines, Azure ML). • Programming & Frameworks: Expert-level proficiency in Python and core AI/ML libraries/frameworks (e.g., PyTorch, TensorFlow/Keras, JAX, Hugging Face ecosystem, LangChain, LlamaIndex). • Cloud Platforms: Strong hands-on experience with at least one major cloud provider (AWS, GCP, Azure) and their associated AI/ML services (e.g., SageMaker, Vertex AI, Azure Machine Learning). • Deployment Skills: Experience with containerization (Docker, Kubernetes), API development (REST, gRPC), and model serving/optimization techniques. • Leadership: Proven track record of technical leadership, mentoring teams, and successfully delivering complex AI projects from ideation to production. • Communication: Excellent verbal and written communication skills, with the ability to articulate complex technical ideas clearly and concisely. • Methodologies: Familiarity with Agile development practices and version control systems (Git). • Education: Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related quantitative field. (PhD preferred but not required). Preferred Qualifications : • Education: Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related quantitative field. (PhD preferred but not required). • Experience with multimodal generative models and RAG. • Experience with distributed training and large-scale model optimization (e.g., quantization, pruning). • Familiarity with data engineering tools and platforms (e.g., Spark, Kafka, Airflow). • Contributions to relevant open-source projects or publications in top AI/ML venues.

Primary Skill-Testing Manual and Automation-Backend Testing Location- Preferred Locations: NOIDA/CHENNAI/HYDERABAD Shift involved Yes on rotation basis. 1:30 PM IST to 11:00 PM IST Programming Languages : Proficiency in languages like Python, Java, and JavaScript. AI/ML Knowledge : Understanding of machine learning algorithms, neural networks, and generative models. Automation Tools : Experience with tools like Selenium, JUnit, and TestNG. API Testing : Skills in using tools like Postman for API testing. Version Control : Familiarity with Git and GitHub for version control. Problem-Solving: Strong analytical and problem-solving abilities. Agile Methodologies: Familiarity with Agile and Scrum frameworks. Continuous Integration/Continuous Deployment (CI/CD): Experience with CI/CD pipelines and tools like Jenkins. Data Analysis: Ability to analyze and interpret data using MS-Excel

Associate Director- Fullstack What are we looking at At least a bachelors / master`s degree with 14+ years of experience Should have experience in data management, programming, systems analysis, and technology architectures Front-end Framework Angular 6 and higher / Bootstrap; Back-end Framework - ASP.NET Core, JSON, XML, HTML5, JavaScript, AJAX, SQL Server, SOAP/REST APIs Strong Understanding of RDBMS & NOSQL DB design and Optimization Good knowledge of AKS based Microservices on Microsoft Azure Cloud Experience on APIM, Caching, Database Design, Database Optimization, Data Engineering will be added advantage Fundamental / Academic understanding of Python, AI/ML algorithmic and Generative AI technology Experience in agile framework like Scrum, Kanban and Scaled Agile. Experience in conducting daily standup, planning, monitoring and control. Risks/issues planning, identification and resolution. Delivering on time with quality and within budget. Experience in governance and status reviews of projects. Escalation on time with the right forum. Strong Soft skills (Oral & Written)

Role & responsibilities As a Data Scientist specializing in Generative AI and NLP , you will be at the forefront of AI innovation. Your role will involve designing and deploying sophisticated models, including large language models (LLMs), to solve complex business problems. You will work closely with cross-functional teams to create scalable, data-driven solutions that bring AI-driven creativity and intelligence to life across various industries. Generative AI & NLP Development : Design, develop, and deploy advanced applications and solutions using Generative AI models (e.g., GPT, LLaMA, Mistral) and NLP algorithms to solve business challenges and unlock new opportunities for our clients. Model Customization & Fine-Tuning : Apply state-of-the-art techniques like LoRA , PEFT , and fine-tuning of large language models to adapt solutions to specific use cases, ensuring high relevance and impact. Innovative Problem Solving : Leverage advanced AI methodologies to tackle real-world business problems, providing creative and scalable AI-powered solutions that drive measurable results. Data-Driven Insights : Conduct deep analysis of large datasets, uncovering insights and trends that guide decision-making, improve operational efficiencies, and fuel innovation. Cross-Functional Collaboration : Work closely with Consulting, Engineering, and other teams to integrate AI solutions into broader business strategies, ensuring the seamless deployment of AI-powered applications. Client Engagement : Collaborate with clients to understand their unique business needs, provide tailored AI solutions, and educate them on the potential of Generative AI to drive business transformation. What do we expect? Generative AI & NLP Expertise : Extensive experience in developing and deploying Generative AI applications and NLP frameworks , with hands-on knowledge of LLM fine-tuning , model customization , and AI-powered automation . Hands-On Data Science Experience : 6+ years of experience in data science, with a proven ability to build and operationalize machine learning and NLP models in real-world environments. AI Innovation : Deep knowledge of the latest developments in Generative AI and NLP , with a passion for experimenting with cutting-edge research and incorporating it into practical solutions. Problem-Solving Mindset : Strong analytical skills and a solution-oriented approach to applying data science techniques to complex business problems. Communication Skills : Exceptional ability to translate technical AI concepts into business insights and recommendations for non-technical stakeholders.

Work Location: Chennai Experience: 3+ Years Please share your updated profile to sugantha.krishnan@acldigital.com Role & responsibilities Good experience in design and develop custom applications on the ServiceNow platform & Strong understanding in ServiceNow module ITSM. Proficiency in JavaScript / React / PowerShell Good experience in GenAI (OpenAI, Azure OpenAI, Llama, Prompt Engineering, RAG, Azure Agentic AI, LLMs ML, LLM.)

Role & responsibilities Strategic Leadership : Define and execute the vision, strategy, and roadmap for the ODC in alignment with the companys global objectives. Establish the ODC as a center of excellence for software development, Data/AI, and innovation in next gen technologies such as Gen AI, Agentic AI etc. Develop and monitor key performance indicators (KPIs) such as project delivery timelines, cost efficiency, and client satisfaction. Technical Skills : Strong understanding of Enterprise software ecosystems, Agile methodologies, CTO mindset with deep understanding of enterprise architecture patterns and modern data architecture, Must understand cloud platforms like AWS/Azure and Cloud data technologies, Presales and RFP bid management experience Familiarity with project management tools (e.g., Jira, Trello) and version control systems (e.g., Git). Operational Management : Oversee the setup of the ODC, including infrastructure, hiring, and compliance with local regulations. Manage day-to-day operations, ensuring seamless collaboration between the ODC and global teams across different time zones. Implement agile methodologies (e.g., Scrum, Kanban) Establish Training Academy and partnership with University for creating a talent pool. Knowledge of India’s regulatory and compliance landscape, including labor laws and tax benefits (e.g., SEZs). Experience in budgeting, cost optimization, and resource planning. Strategic mindset with the ability to align ODC operations with long-term business goals. Talent development : Recruit, onboard, and mentor a high-performing team of developers, engineers, and support staff. Foster a culture of innovation, collaboration, and continuous learning to keep the team updated on emerging technologies. Conduct performance reviews, provide feedback, and drive professional development initiatives. Client and Stakeholder Engagement : Act as the primary point of contact for clients and internal stakeholders, ensuring clear communication and alignment on project goals. Collaborate with onshore teams to translate client requirements into actionable deliverables for the offshore team. Drive client satisfaction by delivering high-quality solutions on time and within budget. Compliance and Risk Management : Ensure compliance with India’s IT Act, ISO, GDPR, and other relevant regulations. Implement robust data security measures, including encryption, access controls, and NDAs to protect client data. Mitigate risks related to cultural differences, communication gaps, and project execution. Financial Oversight : Manage the ODC’s budget, optimizing costs while maintaining quality and scalability. Leverage India’s Special Economic Zone (SEZ) tax benefits and other incentives to maximize cost efficiency. Leadership Skills : Exceptional leadership and team-building skills, with a focus on fostering a collaborative and inclusive work environment. Strong communication and interpersonal skills to bridge cultural and time zone differences. Ability to manage multiple stakeholders, including clients, vendors, and internal teams. Experience : 15+ years of experience in IT leadership, with at least 5 years in managing offshore or global delivery teams within FSI industry. Proven track record of setting up or managing an Offshore Development Center or similar operation in India. Experience working with global clients in a technology consulting or IT services environment.

Analyze user needs & develop technical software solutions for middle tier and information integration layer of product, including requirements gathering, design, modeling, development, testing, deployment and documentation. Take ownership of solution development and drive design and development of software solutions, collaborating with all stakeholders of the release consisting of Product Management, Development, Testing, Documentation and support team. Determine operational feasibility by evaluating analysis, problem definition, requirements, solution development, and proposed solutions. Develop deep understanding of various platform modules, including business domain knowledge. Demonstrate the end-to-end scenarios/use-cases for these platform modules. Push the boundaries for our platform in both technology architecture, ease of developing features/products and extensibility. Take initiative to study, analyze and recommend innovative technology components that help differentiate our products. Collaborate with the team to design development standards and methodologies. Build team strength by knowledge sharing and providing challenging opportunities to improve/extend skills.7+ years of relevant software development experience. Strong proficiency in Python programming skills. (Design Patterns, Data Structures, Algorithms Development) 3-5 years of hands-on experience in designing, developing and sustaining critical platform components/services. Experience with Microservices and event based architecture Well versed with RESTful Services Familiarity with AWS technologies. Understanding of containerization technologies like Docker, Kubernetes Ability to research, experiment with new technology and iterate quickly Basic experience working with Gen AI tools like Copilot, Cursor

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 Should have hands on experience in Agentic AI Ability to diagnose accuracy drops in Retrieval-Augmented Generation (RAG) systems 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. Preferred candidate profile Immediate - 15days

About the position We are looking for a highly motivated candidate(s) who has exposure to conduct research and project works in areas related to Artificial Intelligence, Analytics, Cybersecurity and Cloud domains. The person(s) should have capabilities to take self-initiatives and must be quick learner and team player. This is a Research & Development (R&D) related role where the prospect would be required to work on several research and project works in the domains of Artificial Intelligence/ Analytics/Data Science/Cybersecurity/Cloud and other related technologies. The major expectation from this role is to publish good quality research papers and support the teams working to get research/project funding. The prospect will coordinate with different teams and manage and record all the activities. Job Role and Responsibilities Job responsibilities associated with this role are below: 1. Conducting research, publishing/presenting research papers in reputed journals/conferences. 2. Supporting the teams in writing and submitting research proposals to external agencies for funding. 3. Managing all the research and development activities within the RACE. 4. Leading the teams working on different funded/sponsored projects. 5. Subject Matter Expert (SME) for research-oriented courses and should have ability to create problems to assess the skills of a professional. 6. Leading various types of hackathons and competitions in Artificial Intelligence and, Analytics/Cybersecurity domains. 7. Supporting researchers and project developers in their R&D activities. 8. Properly maintaining the records and artefacts of all the above-mentioned activities and work as the Single Point of Contact (SPoC) to present the same and make it available as per the needs. 9. Creating high-quality contents and learning materials of professional standards. Qualifications, Experience and Skills Qualifications : M. Tech in Computer Science or similar Post-Graduation Degree. PhDs also can apply. Note: i. Applicants from Artificial Intelligence, Data Science and Cybersecurity backgrounds will be preferred. ii. The prospect must have good exposure to research publications. Experience: Minimum 2-3 years of Research/Industry/Academic experience in the relevant domain. Skillsets: - Programming Languages Python, R, JavaScript, React - Machine Learning, Deep Learning, Gen AI, AI Model Deployment and Monitoring - Cybersecurity Tools: Wireshark/Nmap/Metasploit/Splunk/ELK Stack/Burp Suite - Cloud: AWS/Azure/GCP - Strong Command on Data Analytics Tools Power BI/Tableau/Orange - Proficiency in Microsoft Excel Tools specially Word, Excel and Power Point Selection Process Profile Shortlisting followed by technical interviews with demos. Remuneration: Negotiable

Job Summary: The ideal candidate will have a strong background in data analysis, machine learning, and statistical modeling, along with the ability to derive actionable insights from complex data sets. Responsibilities: Data Collection and Preprocessing: Acquire, clean, and preprocess data from various sources to ensure data quality and reliability. Work with big data technologies and tools for efficient data processing. Exploratory Data Analysis (EDA): Conduct exploratory data analysis to understand data patterns, trends, and anomalies. Identify relevant variables and features for further analysis. Statistical Modeling and Machine Learning: Develop and implement statistical models and machine learning algorithms to solve business problems. Perform predictive modeling, classification, clustering, and regression analysis as needed. Evaluate model performance and make improvements using techniques like cross-validation and hyperparameter tuning. Collaboration and Communication: Collaborate with cross-functional teams, including data engineers, business analysts, and software developers. Communicate technical concepts and results to non-technical stakeholders in a clear and understandable manner. Provide guidance and support to team members on data-related tasks and projects. Qualifications: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. Proven experience in data analysis, machine learning, and statistical modeling. Proficiency in programming languages such as Python, R, or SQL. Familiarity with GenAI and implementing LLM Familiarity with machine learning libraries/frameworks (e.g., TensorFlow, scikit-learn, PyTorch). Experience with big data platforms (e.g., Hadoop, Spark) and cloud services (e.g., AWS, Azure) is a plus. Strong analytical and problem-solving skills with attention to detail. Excellent communication and collaboration abilities. Ability to work independently and manage multiple projects simultaneously. Note: Job Location: Chennai, Bangalore, Pune, Coimbatore, Mumbai Work Mode: Hybrid ( 3 Days WFO and 2 Days WFH) Work Time: 2pm to 11pm ( UK Shift time) Notice Preferred: 0-30 Days

Short Description: We are seeking a highly skilled and experienced Technical Specialist - Microservices + AI Engineer to join our dynamic team. Description: In this role, you will be a key contributor to the design, development, and deployment of our next-generation AI-powered platform, built on a microservices architecture. You will leverage your expertise in both microservices and AI to create scalable, reliable, and efficient solutions that drive innovation and business value. The ideal candidate should have a strong background in software development, cloud computing, and DevOps practices. Responsibilities: Design, develop, and implement microservices-based applications and platform-as-a-service solutions that leverage semantic technologies. System Integration - Design and implement integration points between different systems and ensure that the data flows smoothly between them. Develop and deploy AI models within microservices, optimizing for performance and resource utilization. Contribute to the development of best practices for building and deploying AI in a microservices environment. Mentor developers, provide guidance on technical issues, and ensure that the team adheres to best practices and standards. Implement security measures such as access controls, data encryption, and data backups, and ensure that Platform as a Service adheres to compliance requirements. Stay up to date with the latest advancements in microservices architecture, AI, DevOps and Cloud technologies. Requirements: Bachelors degree in computer science 8+ years of experience in software development, with a focus on Microservices architecture, Semantic technologies, and Cloud Computing. Strong knowledge of Microservices architecture, RESTful APIs, and containerization technologies (Docker, Kubernetes, etc.). Experience working with GEN AI models , RAG & Agentic AI frameworks. Experience building and deploying AI models in production environments. Expertise in modern software engineering practices, including Agile development, DevOps, and continuous integration/continuous delivery (CI/CD). Exposure with cloud platforms such as AWS, Google Cloud Platform.

Full Stack- Gen AI - J49047 Role Overview We are looking for a Full Stack Developer with hands-on experience building scalable web applications using React (frontend) and Java (backend). Youll work across the stack from developing rich UI components to designing secure APIs and integrating with databases like MongoDB, PostgreSQL, and ArangoDB. Experience with AWS and DevSecOps practices is highly desirable. Exposure to AI/ML is a plus and will open opportunities to work on GenAI-based features. Key Responsibilities Frontend Development o Build responsive, modular, and accessible UI components using React.js o Integrate RESTful APIs and microservices into frontend applications o Ensure performance optimization and modern UI/UX standards Backend Development o Develop robust APIs and services using Java (Spring Boot or equivalent) o Implement authentication, role-based access, and secure API communication o Build data models and logic for scalable processing Database & Storage o Work with multiple data stores including MongoDB, ArangoDB, and PostgreSQL o Design and optimize schemas and queries for performance and reliability Cloud & DevSecOps o Deploy applications on AWS using services such as EC2, ECS, S3, RDS, or Lambda o Implement CI/CD pipelines using GitHub Actions, Jenkins, or CodePipeline o Apply DevSecOps best practices including container security (Docker, ECR), infrastructure as code (Terraform), and runtime monitoring Team Collaboration & Agility o Participate in Agile ceremonies (stand-ups, sprint planning, retros) o Work closely with product, design, and AI engineers to build secure and intelligent systems Core Requirements Frontend: React.js, Redux, Tailwind or Material UI, TypeScript/JavaScript Required Candidate profile Candidate Experience Should Be : 1 To 3 Candidate Degree Should Be : BE-Comp/IT,BEd

Job Title: AI/Gen AI Engineer (Python) Location: Bangalore, India(Onsite) Job Description: We are seeking a highly skilled AI/Gen AI Engineer with 7+ years of experience in Python and extensive expertise in AI/Generative AI frameworks. The ideal candidate should have strong proficiency in data manipulation libraries such as Pandas and NumPy, along with hands-on experience in implementing and managing Large Language Models (LLMs). Key Responsibilities: • Develop and maintain AI/Gen AI solutions using Python. • Work with LLMs, ensuring their effective implementation and optimization. • Utilize FastAPI for API development and integration. • Apply software engineering best practices, including version control (Git), CI/CD pipelines, and automated testing. • Implement MLOps and ML engineering strategies to streamline AI model deployment and monitoring. • Leverage DevOps tools such as Docker, Kubernetes, Jenkins, and Terraform for efficient deployment and scaling. • Ensure robust CI/CD practices for AI/ML workflows. Required Skills & Experience: • 7+ years of experience in Python development. • Strong understanding of AI/Gen AI frameworks. • Hands-on experience with LLMs. • Expertise in data manipulation using Pandas and NumPy. • Proficiency in FastAPI for API development. • Strong grasp of software engineering principles, including Git, CI/CD, and automated testing. • Experience in MLOps, ML engineering, and AI model lifecycle management. • Proficiency in DevOps tools such as Docker, Kubernetes, Jenkins, and Terraform., and Swagger is must • Strong understanding of JavaScript programming language • Experience with SQL and NoSQL databases • Experience with RESTful API design and development • Experience with unit testing and test-driven development (Jest) • Excellent problem-solving and debugging skills. • Ability to work independently and as part of a team. • Strong communication and interpersonal skills • Experience with cloud computing platforms such as AWS or Azure • Experience with container orchestration technologies such as Docker and Kubernetes • Experience with continuous integration and continuous delivery (CI/CD) pipelines • Experience with leading and mentoring development teams • Strong knowledge of integration patterns, technologies, and tools • Experience with integration platforms such as MuleSoft, Dell Boomi, or similar. • Experience with API management platforms such as Apisix, Apigee, Kong, or similar. • Experience with cloud-based integration solutions such as AWS, Azure, or similar. • Strong understanding of microservices architecture and RESTful APIs • Experience in designing and implementing complex integration solutions for enterprise-level applications

Responsibilities Develop Gen AI POC and solutions for industry verticals. Discuss solution requirements with solution architects and customer interface where necessary Show initiative and drive topics to resolution in an elevated level of quality, speed, reliability, and efficiency. Recommend appropriate technologies and libraries to be used in the client-side stack Staying abreast of the latest developments in technology and industry best practices and identifying where they can be incorporated Qualifications Bachelors degree or above in Computer Science, Software Engineering or Mathematics Adept at critical thinking and logical reasoning for problem-solving Be good at teamwork and delivering under pressure Experience with LLMs Understanding of good design principles and patterns Solid appreciation of AI/ML concepts Extremely dynamic and enthusiastic about technology Development experience with one or more of these technologies: C++, Java, JavaScript, HTML, C#, Python, node.js Be able to adapt quickly to new challenges and an evolving technology stack Excellent written and verbal communication skills. Fluent English is essential Strong analytical and problem-solving skills. Demonstrating a customer-focused attitude; Excellent communication skills (listening, presenting, writing, formal and informal) Self-motivated, self-driven, curious, open-minded, resourceful, and flexible with the ability to learn quickly. Hands-on of Python, ML Algorithms and Statistics Knowledge of source code maintenance and versioning tools. Strong in Object Oriented Programming Concepts. Good in debugging and analytical skills.

Required Skills & Experience: 5 to 10 years of hands-on experience in Machine Learning and Deep Learning (e.g., Random Forest, XGBoost, CNNs, RNNs, Transformers) 3 to 4 years of experience in building and deploying Generative AI applications at an enterprise scale Proficient in Python and libraries such as NumPy, Pandas, scikit-learn, TensorFlow, or PyTorch Strong experience working on large-scale, enterprise-level AI/ML projects Ability to translate business challenges into AI-based solutions and deploy them successfully Strong analytical, problem-solving, and communication skills Preferred Qualifications: Experience with LLM platforms (e.g., OpenAI, Anthropic, Cohere) Familiarity with frameworks such as LangChain, HuggingFace, or similar Exposure to MLOps and deployment of ML pipelines in enterprise environments Experience working in Agile-based project teams Why Join Us: Work on innovative AI and GenAI projects at an enterprise scale Opportunity to shape strategic AI initiatives and drive business impact Collaborative, future-focused work environment Attractive compensation and career growth opportunities How to Apply: If you are passionate about building impactful AI solutions and meet the above requirements, please apply via Naukri or send your resume to hanifarsangeetha@sightspectrum.com . Candidates with a notice period of up to 30 days will be preferred.