Job Title: Engineer, Senior Staff Company: Qualcomm Job Category: Machine Learning Roles & Responsibilities: We are seeking a highly skilled and motivated Language Model Engineer to join our team. The primary role of the engineer will be to train Large Language Models (LLMs) from scratch and fine\-tune existing LLMs on various datasets using state\-of\-the\-art techniques. Responsibilities Model architecture optimizations : optimize latest LLM and GenAI model architectures for NPUs, which involves reimplementing basic building blocks of models for NPUs Model Training and Fine\-tuning: Fine\-tune pre\-trained models on specific tasks or datasets to improve performance. Implement state\-of\-the\-art LLM training techniques such as Reinforcement Learning from Human Feedback (RLHF), ZeRO (Zero Redundancy Optimizer), Speculative Sampling, and other speculative techniques. Data Management: Handle large datasets effectively. Ensure data quality and integrity. Implement data cleaning and preprocessing techniques. Hands\-on with EDA is a plus. Research and Development: Stay up to date with the latest research in NLP and LLMs. Implement state\-of\-the\-art techniques and contribute to research efforts. Infrastructure development : For coming up with new optimization techniques to minimize ONNX memory footprint, export time optimizations. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e\-mail disability\-accomodations@qualcomm.com or call Qualcomm's toll\-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). If you would like more information about this role, please contact Qualcomm Careers. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: HR GHRSS HRIT Hyd 171336 Company: ADP Job Category: Machine Learning Roles & Responsibilities: Job Summary: Seeking an experienced AWS AI Data Engineer to design, build, and optimize scalable data and AI/ML solutions on AWS Cloud. The ideal candidate should possess strong expertise in modern data engineering, cloud\-native architecture, machine learning data pipelines, and Generative AI solutions. The role involves developing robust data platforms, enabling AI workloads, and collaborating with data scientists, ML engineers, and business stakeholders to deliver impactful analytics and AI\-driven solutions. Key Responsibilities: Design, develop data ingestion solutions from APIs, databases, and maintain scalable ETL/ELT pipelines on AWS. Design, develop, and deploy Generative AI applications using Amazon Bedrock, SageMaker, and foundation models. Build and implement Retrieval\-Augmented Generation (RAG) solutions leveraging vector databases and enterprise knowledge repositories. Enable AI/ML and Generative AI workloads through robust data pipelines. Integrate Large Language Models (LLMs) with enterprise systems, APIs, and business workflows. Design and optimize prompts, evaluate model performance, and improve response quality through prompt engineering techniques. Implement AI guardrails, content filtering, and responsible AI practices to ensure safe and compliant GenAI deployments. Monitor GenAI application performance, model usage, latency, and costs while ensuring scalability and reliability. Implement and ensure data quality, governance, security, scalability, and cost\-effective AWS data platforms. Collaborate with Data Scientists, ML Engineers, and business stakeholders. Develop conversational AI solutions, enterprise copilots, intelligent search, and knowledge\-management applications. Document technical solutions and support Agile delivery practices. \#\#LI\-DNI Required Skills Strong experience with AWS Services: S3, Glue, Lambda, Redshift, DynamoDB, IAM, Step Functions, API Gateway, EC2, ECS/EKS. Proficiency in Python, PySpark and SQL. Hands\-on experience with Amazon SageMaker and/or Amazon Bedrock, OpenSearch, Generative AI, RAG, Vector Databases, Prompt Engineering and LLM orchestration platforms. Experience implementing enterprise scale RAG architecture, embeddings, and vector databases (OpenSearch, pgvector, Pinecone, Chroma, etc.). Experience building and deploying scalable, secure, and production\-grade GenAI and Agentic AI applications on AWS. Strong understanding of Large Language Models (LLMs), Prompt Engineering, Retrieval\-Augmented Generation (RAG), AI Agents, Multi\-Agent Systems, and Conversational AI solutions. Experience building enterprise AI copilots, chatbots, document intelligence, or knowledge assistant solutions. Strong understanding of REST APIs, Microservices, CI/CD pipelines, Git, Docker, and cloud\-native development practices. Ability to work closely with business stakeholders and cross\-functional teams to identify use cases and deliver AI\-driven solutions. Excellent analytical, problem\-solving, and communication skills with a passion for innovation and emerging AI technologies. Preferred Skills: Experience with Data Lakes, ETL/ELT, Data Warehousing, and Data Modeling. Working experience with Terraform/CloudFormation, Git, CI/CD, and Docker. Exposure to LLMOps, model evaluation, prompt optimization, monitoring, governance, and Responsible AI practices. AWS Certifications (Developer Associate, Solutions Architect, Data Engineer, AI Practitioner) are a plus. Location: Hyderabad A little about ADP: We are a comprehensive global provider of cloud\-based human capital management (HCM) solutions that unite HR, payroll, talent, time, tax and benefits administration and a leader in business outsourcing services, analytics, and compliance expertise. We believe our people make all the difference in cultivating a down\-to\-earth culture that embraces our core values, welcomes ideas, encourages innovation, and values belonging. We've received recognition for our work by many esteemed organizations, learn more at ADP Awards and Recognition. Work Location: Telangana, India Availability: Full time
Job Title: Associate Business Intelligence Analyst Company: Jobgether Job Category: Machine Learning Roles & Responsibilities: This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Associate Business Intelligence Analyst based in India. We are seeking an enthusiastic, early\-career technology professional to join a dynamic digital technology team focused on AI and Generative AI innovation. In this role, you will contribute to the development of intelligent enterprise applications, AI assistants, chatbots, and knowledge\-based solutions. You will also contribute to web applications and enterprise platforms while developing your software engineering expertise. * Support the development and implementation of AI, Machine Learning, and Generative AI solutions for business applications. * Collaborate with senior engineers to build LLM\-powered applications, chatbots, AI assistants, and knowledge management solutions. * Develop Python scripts, applications, APIs, and reusable AI components. * Explore and implement prompt engineering, Retrieval\-Augmented Generation (RAG), embeddings, vector databases, and LLM integrations. * Assist with structured and unstructured data preparation, processing, and analysis. * Integrate AI capabilities into enterprise applications using REST APIs and other technologies. * Support application testing, debugging, performance optimization, and deployment activities. * Collaborate with UX/UI designers and software development teams to create intuitive AI\-powered user experiences. * Contribute to AI\-enabled features within enterprise portals and platforms, including Liferay. * Support responsive web development using HTML, CSS, JavaScript, and Bootstrap. * Participate in Agile ceremonies, code reviews, technical discussions, and documentation. * Adhere to enterprise standards for software development, data privacy, information security, and responsible AI. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Work Location: India Availability: Full time
Job Title: ML+GEN AI Company: Persistent Systems Job Category: Machine Learning Roles & Responsibilities: What You'll Do * Design, develop, and implement machine learning models and algorithms to solve complex data problems. * Collaborate with data engineers and data scientists to ensure the effective deployment of ML models. * Manage the ML Ops lifecycle, including model training, validation, deployment, and monitoring. * Optimize and maintain existing ML models to improve performance and accuracy. * Develop and maintain data pipelines to support data ingestion, transformation, and storage. * Conduct code reviews and provide mentorship to junior team members. * Stay updated with the latest trends and technologies in AI/ML and data engineering. Work Location: Pune Division, Maharashtra, India Availability: Full time
Job Title: Intern Company: Emerson Job Category: Machine Learning Roles & Responsibilities: In This Role, Your Responsibilities Will Be: * Design and develop automated workflows using Microsoft Power Automate to improve business efficiency. * Support the development of business applications using Microsoft Power Apps. * Create dashboards, reports, and data visualizations using Microsoft Power BI. * Assist with the development and enhancement of internal digital portals and user experiences * Collaborate with cross\-functional stakeholders to understand business needs and identify automation opportunities * Support data preparation, reporting automation, and analytics initiatives using tools such as Python and other digital technologies * Contribute to continuous improvement projects focused on operational excellence and process optimization * Explore emerging technologies, including artificial intelligence, Microsoft Copilot, and cloud\-based solutions, and support proof\-of\-concept activities. Integrate solutions across Microsoft 365 applications, including SharePoint, Teams, Outlook, and Excel * For This Role, You Will Need: At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives—because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams working together are key to driving growth and delivering business results. Work Location: Maharashtra, India Availability: Full time
Job Title: Specialist Data Scientist, Actimize Company: NiCE Job Category: Machine Learning Roles & Responsibilities: So, what’s the role all about? We are seeking a Specialist Data Scientist (8 \+ yrs experience) with a strong track record of turning state\-of\-the\-art Generative AI and classical ML techniques into production value. The Specialist Data Scientist will be responsible for developing Machine Learning models and agentic AI systems that augment fraud detection capabilities, combining LLMs, traditional ML, and domain expertise into scalable, reliable products. How will you make an impact? * + Develop and execute advanced analytics projects from end to end, including data collection, preprocessing, model development, evaluation, and deployment. + Design and develop predictive and generative models to extract actionable insights from large and complex tabular datasets. + Utilize statistical techniques and quantitative analysis to identify trends, patterns, and correlations within the data. + Perform feature engineering and explore advanced representations of transactional and behavioural data. + Evaluate models using appropriate fraud\-focused metrics, including detection performance, precision/recall, stability, generalization, and operational impact. + Design and build agentic AI workflows, including: + Multi\-step reasoning, planning, and orchestration + Tool/function calling and tool\-using agents + State and memory management + Autonomous workflows for investigation and decision support + Human\-in\-the\-loop controls and decision making + Implement evaluation frameworks for LLMs and agents including quality, safety, and hallucination detection. + Translate business problems into analytical solutions in partnership with Product, Engineering, and domain SMEs. + Clearly communicate research findings, model results, trade\-offs, and recommendations to both technical and non\-technical stakeholders. + Collaborate closely with Data Scientists, Engineering, Product, and domain experts. + Stay current with advances in Agentic AI, LLM architectures, reasoning systems, and ML research. What’s in it for you? Join an ever\-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast\-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr! Role Type: Individual Contributor About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000\+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3\+ billion financial transactions.* Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30\+ countries.* NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law. Work Location: Pune City, Maharashtra, India Availability: Full time
Job Title: Sr Engineer - AI COE Company: Tata Communications Job Category: Machine Learning Roles & Responsibilities: Role Summary: We are hiring a Sr. Engineer (2\+ years) for the AI CoE to build and deploy Generative AI, RAG, Agentic AI, Machine Learning \& Data Engineering solutions. This role combines LLM\-driven applications with strong ML fundamentals, supporting scalable and monetizable AI products for telecom and enterprise use cases. Key Responsibilities: * Build and deploy LLM\-based applications, RAG, and Agentic RAG systems * Build optimized data pipeline to support AI applications * Develop multi\-agent workflows using tools like LangChain, LlamaIndex, LangGraph , Azure, and AWS Bedrock * Integrate MCP tools, APIs, and function\-calling into AI systems * Design prompting strategies, embeddings, and vector search pipelines using Milvus / FAISS / Pinecone * Implement structured output generation for LLM responses (JSON/schema\-driven outputs) * Apply machine learning techniques (classification, clustering, predictive modeling) for telecom and enterprise use cases * Perform data preprocessing, feature engineering, and model evaluation * Optimize solutions for performance, scalability, cost, and latency * Develop backend APIs using FastAPI for serving AI/ML models * Containerize applications using Docker for scalable deployment * Implement monitoring, logging, and observability using Grafana and ELK stack * Enable LLM traceability and observability using Langfuse etc. * Collaborate with product and engineering teams to deliver production\-grade AI solutions Required Skills: * 2\+ years of experience in Data Engineering / AI / Machine Learning /Gen AI * Excellent proficiency in Python and working knowledge of SQL ( PostgreSQL preferred ) * Hands on Data Engineering experience with big data tools and technology. Role involves hands\-on Python coding and system design assessments, covering machine learning fundamentals, model building, RAG, LLMs, agent\-based applications, LangGraph workflows , API development, and production deployment considerations (Docker, monitoring, traceability). Work Location: Karnataka, India Availability: Full time
Job Title: Technical Program Manager, Product Ops Digitization Company: Google Job Category: Machine Learning Roles & Responsibilities: * Experience in high\-volume factory operations, NPI, process management, and overseeing contract manufacturers. * Experience with data analytics, data visualization, architecting complex business intelligence solutions and data pipelines using SQL and Python. * Proven ability to present complex data analysis, yield trends, and proactive actionable alerts to executive leadership and external contract manufacturing partners. * Solid foundation in applied statistics and quantitative analysis, alongside an understanding of basic machine learning concepts to apply predictive models to manufacturing operations. * Excellent technical program management skills, with a demonstrated ability to solve complex problems independently and automate manual workflows for efficiency gains. A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi\-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross\-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise\-grade solutions that leverage Google’s cutting\-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities -------------------- * Identify opportunities to automate manual processes. Collaborate with relevant teams to develop tools and scripts that streamline processes and improve efficiency. Design, develop and run systems that automate Alphabet’s supply chain and manufacturing operations. * Effectively translate complex technical and engineering issues into clear, concise summaries that are easily understood by management and cross\-functional teams. Facilitate communication between different teams and ensure tight coordination. * Prepare executive\-level presentations and reports that distill complex data into actionable insights. * Provide comprehensive program management support, including ongoing development of processes, templates, escalation procedures, and reporting mechanisms. Ensure smooth execution of projects. * Demonstrate proficiency in AI/ML concepts. Use AI to automate end\-to\-end processes, streamline coordination, and accelerate the execution of your programs Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form. Work Location: Karnataka, India Availability: Full time
Job Title: Associate AI Solution Engineer Company: Ocugen India Pvt Ltd Job Category: Machine Learning Roles & Responsibilities: To design, develop, deploy, and support enterprise AI solutions using Large Language Models (LLMs), Retrieval\-Augmented Generation (RAG), intelligent chatbots, and AI agent frameworks. The role will focus on building secure, scalable, and business\-ready AI applications for internal users and business functions including Research \& Development, IT, Regulatory Affairs, Clinical Operations, Quality Assurance and corporate functions. The ideal candidate should have strong technical knowledge in Generative AI and should bring experience working in implementing intelligent systems that enable computers to understand, analyze, and reason with both visual and textual data in a manner similar to human cognition along with basic understanding of pharmaceutical and biotechnology processes, regulatory documentation, SOPs, controlled documents, and compliance\-driven environments. The Candidate should have basic knowledge of Software Development. 2\. DUTIES AND RESPONSIBILITIES AI Chatbot, RAG \& Agent Development * Develop research and product roadmaps aligning with scientific and business objectives. * Develop AI\-powered chatbots and virtual assistants for internal business users. * Build RAG\-based applications that retrieve answers from SharePoint, PDFs, Word documents, SOPs, policies, databases, and internal knowledge repositories. * Create AI agent workflows for knowledge retrieval, document review, authoring, and business process automation. * Use frameworks such as Lang Chain, Lang Graph, Llama Index, Semantic Kernel, or similar tools under technical guidance. * Apply prompt engineering, grounding techniques, response validation, and evaluation methods to improve answer quality and reduce hallucinations. * Support document ingestion pipelines for PDFs, Word files, Excel files, SOPs, regulatory content, and knowledge articles. * Work on chunking, metadata extraction, embeddings, vector indexing, semantic search, and citation\-based response generation. * Use vector databases/search tools such as Azure AI Search, Azure Cosmos DB Application Development \& Deployment * Develop backend APIs and AI services using Python, Fast API, Flask, or similar frameworks. * Develop document processing solutions using OCR, Natural Language Processing (NLP), and intelligent data extraction technique * Support deployment and maintenance of AI applications using Azure services, Docker, Git, and CI/CD pipelines. * Follow organizational security, privacy, access control, and data governance standards while developing AI solutions. * Support responsible AI practices including auditability, monitoring, explainability, and controlled use of enterprise data. * Prepare technical documentation, user guides, architecture notes, test cases, and validation\-support documents where required. DevOps: Docker basics, CI/CD basics, deployment and monitoring awareness * The candidate should have basic awareness of pharma and biotech work environments so that AI solutions can be aligned with business needs, document control expectations, and compliance requirements. * Basic understanding of drug discovery, drug development, clinical trials, regulatory affairs, quality assurance, and manufacturing processes. * Awareness of SOPs, protocols, clinical study reports, investigator brochures, CTD modules, policies, and controlled documents. * Basic knowledge of GxP concepts, data integrity, audit trails, version control, document lifecycle management, and approval of workflows. * Familiarity with regulatory references such as FDA, EMA, ICH guidelines, and 21 CFR Part 11 is preferred. * Understanding AI uses cases in pharma/biotech such as regulatory document search, medical writing assistance, clinical knowledge assistant, pharmacovigilance triage, quality document review, and R\&D knowledge management. This is a largely sedentary role. * This position is fully office‑based (on‑site) . * Job may require availability beyond standard working hours to support priority business needs, audits, or inspections. Work Location: Hyderabad, Telangana, India Availability: Full time
Job Title: Enabling Areas - IT - DM - Junior AI Architect Company: Deloitte Job Category: Machine Learning Roles & Responsibilities: Your work profile Architecture Design: Design end\-to\-end architecture for AI solutions, including data ingestion, processing, modeling, deployment, and monitoring. Define architecture patterns, components, and interfaces to ensure scalability, performance, and reliability. Technology Evaluation: Evaluate and select appropriate AI technologies, frameworks, and tools to support the implementation of AI solutions. Stay abreast of emerging AI trends and advancements to inform technology decisions and architectural design. Model Development and Optimization: Collaborate with data scientists and machine learning engineers to develop and optimize machine learning and deep learning models. Ensure best practices in model development, training, evaluation, and deployment. Integration and Deployment: Integrate AI solutions into existing systems and infrastructure. Define deployment strategies and processes for deploying AI models in production environments, including cloud\-based and edge computing platforms. Performance Monitoring and Optimization: Establish monitoring and optimization mechanisms to track the performance, accuracy, and efficiency of AI systems in production. Implement feedback loops and continuous improvement processes to optimize AI models and algorithms over time. Governance and Compliance: Define governance policies and practices for AI development, deployment, and usage. Ensure compliance with regulatory requirements, ethical standards, and privacy considerations in AI initiatives. Collaboration and Leadership: Collaborate with cross\-functional teams, including data scientists, engineers, product managers, and business stakeholders, to drive AI projects from concept to delivery. Provide technical leadership and mentorship to team members. Work Location: Maharashtra, India Availability: Full time
