Job Title: GenAI developer-NCR/Pune-Hybrid Working-Immediate To 30Days Joiner Company: Iris Software Job Category: Machine Learning Roles & Responsibilities: Shift Timing : 12\-9PM / 1\-10PM Key Responsibilities: Design and develop enterprise Generative AI solutions using Amazon Bedrock, Azure OpenAI Service, Azure AI Foundry, Grog, or AI Search Index platforms. Define AI solution architectures and implementation approaches aligned with business and technical objectives. Design and implement Retrieval\-Augmented Generation (RAG), Graph RAG, and Agentic AI architectures for enterprise use cases. Lead development of intelligent AI agents, tool\-calling workflows, and autonomous task execution frameworks. Design and implement multi\-agent orchestration solutions using frameworks such as LangGraph and evaluate emerging frameworks such as AutoGen or CrewAI where appropriate. Design and optimize prompt strategies, retrieval mechanisms, context orchestration, and response generation frameworks. Design prompt engineering pipelines, vector database integration, semantic search solutions, and Retrieval\-Augmented Generation architectures supporting enterprise AI applications. Design and implement workflows using LangChain or LangGraph to support scalable AI application development. Design scalable AI engineering architectures incorporating authentication, authorization, asynchronous processing, scheduling, multithreading, API governance, and enterprise deployment best practices. Work Location: Pune, Delhi / NCR, India Availability: Full time

Job Title: Finance Analyst Company: Cisco Job Category: Machine Learning Roles & Responsibilities: More specifically, you will join the Devices Finance team that supports the Collaboration Devices business. This is a close\-knit, collaborative team that combines strong financial fundamentals with a genuine curiosity for how AI and automation can transform the way we analyze bookings, margins, and business performance. You will be working directly with Finance Team supporting the Collaboration Devices business and help with: * Perform financial data analysis with the aim of providing accurate, timely, and actionable insights that support leadership decision\-making and improve operational efficiency * Support monthly and quarterly close activities through data validation, variance analysis of actuals vs. forecast, and period\-over\-period comparisons to identify drivers, trends, risks, and opportunities * Monitor booking margins, discount structures, and profitability trends, and provide actionable recommendations to support growth while maintaining strong financial performance * Extract, integrate, and analyze large datasets using SQL, Pythonand appropriate data\-processing technologies * Translate functional requirements into reporting solutions, calculation logic, and data models * Design, build, test, and implement AI/ML solutions for real finance and business requirements * Develop and maintain interactive dashboards and executive reports using Microsoft applications and AI tools If you are the target of a recruiting scam, consider filing a report with your local law enforcement authorities. Cisco bears no responsibility, and cannot be held liable, for any claims, damages, expenses, or other inconvenience resulting from or in any way connected to recruiting scams. Work Location: KA, India Availability: Full time

Job Title: Machine Learning Engineer - Computer Vision Company: Sutra Services Pvt Ltd Job Category: Machine Learning Roles & Responsibilities: Our products combine hardware, software, and machine learning to help pet parents better understand and monitor their pets' health. About The Role We're looking for a hands\-on Machine Learning Engineer with strong experience in Deep Learning and Computer Vision to develop, train, evaluate, deploy, and maintain ML models. What You'll Do * Develop and train deep learning and computer vision models for image classification, object detection, and image segmentation. * Work with CNN architectures such as YOLO, ResNet, EfficientNet, MobileNet, and U\-Net. * Prepare, label, preprocess, and augment custom datasets. * Use Python, PyTorch, TensorFlow/Keras, and OpenCV for model development. * Perform model training, validation, fine\-tuning, hyperparameter tuning, and performance evaluation. * Work with time\-series data, audio signal processing, and sensor fusion. * Deploy and optimise models for production, edge, and embedded environments. * Work with ONNX, TensorFlow Lite, and model optimisation techniques. * Monitor model performance, detect data/model drift, and support retraining pipelines. * Collaborate with hardware, firmware, and application teams. Why Join Us? * Work on real\-world Deep Learning and Computer Vision applications. * Build models deployed on actual hardware. * Work closely with the ML Lead and take ownership of key projects. * Join a fast\-moving team building innovative pet health technology. Work Location: Bengaluru, Karnataka, India Availability: Full time

Job Title: Senior Voice AI Platform Engineer (Cost, Latency, Scale) Company: Intime It Services Job Category: Machine Learning Roles & Responsibilities: The role What you will do Reduce LLM token spend through prompt compression, context trimming, prefix and KV caching where the provider supports it, and response length control Work Location: Kolkata, India Availability: Full time

Job Title: Global M&C Data Architect Director & Chapter Lead – MarTech Company: Boston Consulting Group Job Category: Machine Learning Roles & Responsibilities: Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963\. Today, we help clients with total transformation\-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom\-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading\-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. The MarTech Data Architect \& Data Engineering Chapter Lead for Marketing \& Communications is a senior technical leader responsible for the engineering excellence, architectural integrity, and continuous evolution of BCG's marketing data foundation and connected platforms. Sitting within the MarTech Engineering team, this person leads the data engineering chapter that serves BCG's Global Marketing analytics and data functions owning the technical standards, pipeline architecture, and data platform capability that underpins the full marketing analytics and data ecosystem, from CRM data operations and audience segmentation through to Tableau dashboard delivery, channel performance intelligence, and AI\-assisted insight generation. A core part of this ownership is the identity resolution model the framework that matches and unifies client and contact records across marketing data and CRM systems into a single trusted profile. The Chapter Lead designs, manages, and continually refines this model, and partners closely with BCG's core data architect, client, marketing, CRM and engineering teams and data functions to maintain a shared, consistent definition of identity across systems. This role also carries direct responsibility for aligning the marketing data layer with BCG's wider enterprise data approach. The Chapter Lead partners with enterprise data governance and architecture teams to ensure marketing's data standards, access controls, lineage, and quality practices are built to firm\-wide policy rather than developed in isolation representing marketing's needs in enterprise governance forums while bringing enterprise requirements back into the marketing data roadmap. The role sits at the intersection of technical leadership and marketing analytics product delivery. The Chapter Lead is not only the most senior data engineering voice they are an active partner to the product owners, analysts, and insight leaders whose work depends on the reliability, quality, and sophistication of the data infrastructure this person builds and leads. They lead and develop the data engineering team, set the data engineering direction in line witht the overall MarTech strategy and standards, establish the data standards, and ensure that BCG's marketing data platforms are capable of supporting not just today's analytics needs but the agentic intelligent data environment the marketing organization is building toward. Chapter Leadership \& Data Engineering Development * Lead the data engineering chapter serving BCG's Global Marketing \& Communications team setting technical direction, establishing engineering standards, and creating an environment where engineers across squads are developing their skills, doing their best work, and growing their careers * Provide architectural oversight and hands\-on review of engineering work across the chapter code quality, architectural consistency, pipeline reliability, and data modeling standards are upheld across all squads the chapter serves * Actively mentor and develop chapter engineers conducting regular technical reviews, providing structured feedback, identifying growth opportunities, and building the collective engineering capability that allows the chapter to take on increasingly sophisticated data and AI challenges over time * Partner with squad product owners to ensure engineering capacity, technical priorities, and sprint commitments are aligned with the analytical products and insight capabilities the marketing organization depends on * Contribute to hiring decisions, team structure, and data engineering development helping build a chapter that is technically excellent, well\-motivated, and capable of sustaining the marketing analytics function's growing ambitions * Design, document, and implement robust, scalable data pipelines that feed the marketing analytics data models powering BCG's dashboard suite, channel insight products, audience intelligence, and CRM data operations built on Snowflake, dbt, and Apache Airflow as the core platform stack * Build monitoring and alerting for match\-rate quality, pipeline failures, and unexpected shifts in merge/split volume Establish a lineage trail so any resolved identity can be traced back to its contributing source records and the logic that merged them * Build processes to handle un\-merging (splitting incorrectly merged records) as well as merging * Implement data standardization logic (name normalization, address formatting, email canonicalization) as a pre\-processing layer ahead of matching * Integrate data from across BCG's marketing technology ecosystem into the marketing data environment in a structured, governed, and scalable way that supports both current reporting needs and future analytical capability * Apply SCD, CDC, and DQ/DV frameworks rigorously across pipeline development ensuring that data arriving in the marketing master dataset is accurate, complete, historically traceable, and fit for the analytical and insight purposes it is intended to serve * Evaluate and implement new technical solutions, data engineering patterns, and platform capabilities that improve the reliability, performance, and sophistication of BCG's marketing data infrastructure contributing MVPs and proofs of concept that demonstrate feasibility before committing to full implementation * Own the data quality and governance standards for BCG's marketing data engineering environment implementing the monitoring, validation, and alerting frameworks that catch data quality issues before they surface as errors in stakeholder\-facing dashboards or analytical outputs * Implement data performance and data security policies that align with BCG's governance objectives, regulatory requirements, and privacy obligations working in close partnership with enterprise data governance, IT security, and legal colleagues to ensure the marketing data environment meets the firm's standards across all dimensions * Maintain clear, accessible documentation of data models, pipeline architecture, transformation logic, and engineering decisions building institutional knowledge that reduces key\-person dependency and supports the chapter's resilience as it grows Technical Monitoring \& Incident Management * Actively monitor the health, performance, and reliability of BCG's marketing data pipelines and Snowflake environment — establishing the observability frameworks, alerting standards, and incident response protocols that minimize disruption to the analytical products and insight outputs the marketing organization depends on * Lead the triage and resolution of critical technical incidents with urgency, clarity, and sound engineering judgment — communicating clearly with product owners and stakeholders throughout, and ensuring that root cause analysis and remediation are completed systematically rather than reactively * Identify and address performance bottlenecks across the data engineering environment — conducting regular performance reviews and implementing optimization improvements that keep the platform scalable and responsive as data volumes, analytical complexity, and user demand grow * Build strong working relationships with external stakeholders across BCG's global data and technology organization ensuring that marketing's data engineering work is aligned with firm\-wide data standards and that dependencies are managed proactively * Partner with IT architecture and platform teams on shared infrastructure decisions — including AWS cloud services, Azure Active Directory integration, and CI/CD pipeline tooling — ensuring marketing's engineering choices are compatible with BCG's broader technology environment * Engage with product portfolio management and cross\-functional data product teams across finance, HR, legal, and other BCG functions — contributing a marketing analytics perspective to firm\-wide data platform conversations and maintaining awareness of cross\-functional data and security trends that affect the marketing data environment * Leading a chapter of data engineers with technical authority and genuine investment in their development — you set a high bar, model it yourself, and bring people along rather than simply holding them to it * Designing data pipeline architectures and Snowflake data models that are not just technically correct but genuinely built for the analytical consumption patterns of a sophisticated marketing analytics function — you think about the downstream insight need as much as the upstream engineering requirement * Writing advanced SQL and well\-structured dbt models that your colleagues can read, understand, maintain, and build on — you treat code quality and documentation as professional obligations, not optional extras * Navigating the intersection of data engineering and marketing analytics with enough domain fluency to engage credibly with product owners, analysts, and insight leaders — you understand what they are trying to build and why, and you engineer solutions that serve those needs rather than just satisfying technical requirements * Bringing a current and practical perspective on AI and its implications for data engineering — you are not evangelizing AI for its own sake, but you have a well\-formed view of where intelligent automation, Snowflake Cortex, and LLM integration create genuine engineering opportunity in a marketing analytics context * Staying calm and effective in critical incidents — you triage with sound judgment, communicate clearly under pressure, and resolve issues systematically rather than reactively * Collaborating with product owners and Agile teams in a way that adds engineering value to product decisions — you show up to sprint ceremonies prepared, you flag technical risk early, and you help the squad make better product decisions by making the engineering trade\-offs visible and understandable * 13\+ years of data engineering experience with a strong focus on data warehouse architecture, pipeline development, and data modeling, including at least 2–3 years in a chapter lead, technical lead, or senior engineering leadership role * Demonstrably advanced SQL proficiency and deep hands\-on experience with Snowflake — including data modeling, performance optimization, security configuration, and consumption layer design for analytical workloads * Expert\-level proficiency with dbt for data transformation and data model development, and strong hands\-on experience with Apache Airflow for pipeline orchestration and job scheduling * Solid experience applying SCD, CDC, and DQ/DV frameworks in production data engineering environments — you have built these patterns, maintained them, and debugged them when they break * Demonstrated ability to write clean, well\-documented, version\-controlled code — you use GitHub or Bitbucket as a professional standard, not an afterthought * Experience integrating data from complex, multi\-platform marketing or enterprise technology ecosystems — familiarity with platforms such as Dynamics CRM, Adobe Analytics, Marketo, Sprinklr, or equivalent marketing technology is a meaningful advantage * Working knowledge of AI and machine learning concepts as they apply to data engineering — including intelligent pipeline orchestration, AI\-assisted data quality, and the evolving role of Snowflake Cortex or equivalent capabilities in analytics environments * Strong Python scripting skills for pipeline development, automation, and data engineering tooling; experience with PowerShell or equivalent a plus * Experience with cloud platforms — AWS preferred, Azure and GCP also valued — and familiarity with CI/CD pipeline tooling and version control workflows in a production data engineering environment * Experience working in Agile and scrum\-based delivery environments — including active participation in sprint ceremonies, backlog grooming, and cross\-functional squad collaboration with product owners, architects, and data SMEs * Excellent written and verbal communication skills — including the ability to present architecture decisions, engineering trade\-offs, and technical recommendations to non\-technical product owners and marketing stakeholders clearly and confidently * Experience with JIRA and Confluence for delivery management and technical documentation * Familiarity with other data platforms including Oracle, SQL Server, or MDM systems is a plus * Bachelor's degree in Computer Science, Information Science, Data Management, or a related field, or equivalent practical experience This role operates within BCG's Global Marketing analytics and data hub functions as the senior technical leader of the data engineering chapter that serves it. Your most important day\-to\-day working relationships are with the engineers in your chapter — the people whose technical growth, work quality, and professional development you are directly accountable for — and with the product owners across the marketing analytics and data hub squads whose roadmaps depend on the reliability and capability of the engineering infrastructure your chapter builds and maintains. Within the analytics function, you will partner closely with the Director of Marketing Analytics and the Director of Data Hub who run the squads who access, monitor, and deliver insights and data driven insights for the global marketing organization. You will also collaborate with the CRM data operations and CRM engineering leads — ensuring that the data quality and governance standards that apply at the platform level are reflected in the CRM data environment that feeds the broader marketing analytics ecosystem. At the most senior level, you will engage with the Director of Marketing Analytics \& Data and Director of Data Hub as a peer and strategic partner — contributing the engineering perspective that shapes how the function's data platform capability evolves, how AI and emerging technology are incorporated into the chapter's roadmap, and how BCG's marketing analytics and data infrastructure is positioned to support the organization's most ambitious data and insight ambitions. This is a role for a data engineering leader who finds genuine satisfaction in the combination of deep technical craft and organizational impact — who wants to build something that is not just technically excellent but genuinely indispensable to how a world\-class marketing organization understands and acts on its data. At BCG, our people and relationships are at the heart of everything we do. We believe that in\-person collaboration plays an important role in our culture, mentorship, and professional development. For this role, you will generally be expected to work from a BCG office or in person with clients on a regular basis (typically around 50% of working time), depending on business needs and in line with local policies and practices. Work Location: Gurgaon, India Availability: Full time

Job Title: Software Development Engineer III Company: Tesco India Job Category: Machine Learning Roles & Responsibilities: About the role We are looking for a Senior AI Engineer to design and develop scalable solution supporting diverse Generative AI and Agentic AI use cases. The candidate should have hands\-on experience in working on, and not limited to, multi\-agent systems, AI orchestration frameworks, RAG, LLMs. You will be responsible to deliver reliable, extensible, and enterprise\-grade AI solutions at scale, in collaboration with other Engineers. You will be responsible for Developing and deploying AI systems with a focus on agentic AI, utilizing emerging protocols such as MCP and A2A. Implementing ML Engineering and MLOps best practices for model versioning, lifecycle management, and experiment tracking to manage the entire machine learning lifecycle. Health is Wealth \- Tesco promotes programmes that support a culture of health and wellness including insurance for colleagues and their family. Our medical insurance provides coverage for dependents including parents or in\-laws. Mental Wellbeing \- We offer mental health support through self\-help tools, community groups, ally networks, face\-to\-face counselling, and more for both colleagues and dependents. We also believe in fostering a work environment where you can excel both professionally and personally. Our hybrid model allows you to work flexibly—spend 60% of your week collaborating in person with colleagues at our office locations or local sites, and the rest of the time working remotely. We understand that everyone’s life journey is unique, whether you are starting your career, pursuing passions, or navigating life changes, and we are here to support you. Flexibility is a core part of our culture, and we encourage open conversations about how we can best accommodate your needs, so talk to us throughout your application process on the support required. When you join Tesco Bengaluru in this role, you'll be employed by Tesco Bengaluru Private Limited, the Tesco legal entity responsible for your employment. Work Location: Bengaluru, India Availability: Full time

Job Title: AI/ML Engineer Company: DATA SECURITY COUNCIL OF INDIA Job Category: Machine Learning Roles & Responsibilities: #### About the Role We are seeking a dynamic and technically proficient AI/ML Engineer to support our AI/ML R\&D initiatives in cybersecurity. The ideal candidate will possess hands\-on experience in generative AI, emerging technologies, and product management. This is a hybrid role combining deep technical development with stakeholder engagement. #### Key Responsibilities * Support R\&D efforts to prototype generative AI models for real\-time threat detection and cybersecurity. * Design, develop, and deploy machine learning models tailored to cyber threat intelligence and anomaly detection. * Research and implement novel AI approaches, including multi\-agent and reasoning\-based systems. * Develop distributed security monitoring frameworks using tools like AutoGen, CrewAI, etc. * Build LLM\-powered threat analysis tools using LangChain, LlamaIndex, and integrate with enterprise infrastructure. * Apply MLOps best practices for model deployment, performance monitoring, and continuous integration. * Optimize vector stores (Qdrant, FAISS, Pinecone, etc.) for RAG\-based systems. * Create synthetic datasets for AI training and model evaluation. * Use Pydantic for data validation within AI pipelines. * Conduct technical research, proof of concepts (PoCs) and experimentation on emerging AI/ML use cases. * Identify opportunities to leverage AI/ML for solving complex problems, including potential applications in cybersecurity and data security. * Document model architectures, methodologies, experiments, results and technical findings. Work Location: DL, India Availability: Full time

Job Title: Machine Learning Engineer III Company: Brightstar Lottery Job Category: Machine Learning Roles & Responsibilities: Brightstar is an innovative, forward\-thinking global leader in lottery that builds on our renowned expertise in delivering secure technology and producing reliable, comprehensive solutions for our customers. As a premier pure play global lottery company, our best\-in\-class lottery operations, retail and digital solutions, and award\-winning lottery games enable our customers to achieve their goals, fulfill player needs and distribute meaningful benefits to communities. Brightstar has a well\-established local presence and is a trusted partner to governments and regulators around the world, creating value by adhering to the highest standards of service, integrity, and responsibility. Brightstar has approximately 6,000 employees. For more information, please visit www.brightstarlottery.com. Overall Step into the role of Machine Learning Engineer IV at Brightstar in Hyderabad, Telangana, India. Guide the progress of our AI and machine learning solutions, championing innovation and excellence. You may be evaluated on important skills for success in the role, including monitoring, scalability, change management, security, as well as business insight and discernment. Purpose Of The Role To build, develop, and improve software and solutions using various engineering methodologies, delivering outstanding business, platform, and technology capabilities for our customers and colleagues. Accountabilities * Development and delivery of high\-quality software solutions using industry\-aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance. * Cross\-functional collaboration with product managers, marketing, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives. * Partnering with team members, joining in code assessments, and advocating for a culture of coding excellence and sharing information. * Keeping up\-to\-date with industry technology trends and advancements, participating in the organization’s technology networks to cultivate a culture of technical excellence and advancement. * Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. * Implementation of effective unit testing practices to ensure accurate code composition, readability, and reliability. Other Responsibilities You May Need To Support * Engage in complex analysis of data from multiple sources of information, both internal and external, to solve problems creatively and effectively. * Identify ways to mitigate risk and develop new policies/procedures in support of the control and governance agenda. * Collaborate with other business\-aligned support areas to keep up to speed with business activity and strategy. * Communicate complex information, which could include sensitive or difficult\-to\-communicate content, effectively to various audiences. * Influence or convince collaborators to achieve desired outcomes. Success Profile * Leading Complexity * Leading People * Leading the Business * Leading Self All Brightstar employees have a role in information security. Annual training will be assigned and required as appropriate. Work Location: Hyderabad, Telangana, India Availability: Full time

Job Title: Senior Data Scientist (AI & NLP) Company: Amplify Health Job Category: Machine Learning Roles & Responsibilities: Amplify Health is Asia’s leading health technology and analytics organisation, providing our customers with integrated solutions to make healthcare more accessible, affordable and effective across the region. To build the leading healthcare AI and platform services company in Asia that transforms the delivery of health and wellness for patients and communities by combining and leveraging the distinctive and complementary assets and strengths of AIA and Discovery. By 2028, Amplify Health will have in place one of Asia’s strongest health\-tech and AI capabilities; a comprehensive, integrated health technology stack supported by precision insights derived from proprietary data pools. We are hiring a Senior/ Lead Data Scientist to serve as a recognised organisational expert in Generative AI, Agentic AI, NLP and healthcare AI systems. This role shapes the Data \& AI technical strategy and architecture, leads complex and high\-impact AI initiatives, and establishes reusable, responsible AI capabilities across products, markets and business functions. The ideal candidate combines exceptional depth in NLP, LLMs, RAG and agentic systems with broad architectural, data, analytics, product and healthcare domain judgement. The candidate defines how reliable AI systems should be designed, evaluated, governed and scaled, while developing the technical community through mentorship, standards and thought leadership. Responsibilities * Translate ambiguous business and healthcare problems into structured AI solutions with clear measurement frameworks, success metrics and delivery pathways. * Define the enterprise technical strategy, reference architectures and capability roadmap for NLP, Generative AI, retrieval\-augmented generation, multimodal AI and agentic systems. * Act as the senior technical authority for high\-risk and high\-impact AI systems; make architecture trade\-offs across model selection, prompting, fine\-tuning, retrieval, tool use, memory, orchestration, latency, cost, security and maintainability. * Lead technical due diligence for foundation models, embedding models, vector stores, orchestration frameworks and vendors, including build\-versus\-buy and model\-risk decisions. * Lead the design of production\-grade AI systems where LLMs, RAG, NLP and agents are core runtime components of the delivered solution, not merely development aids. * Define patterns for agent planning, tool use, permissions, state and memory, observability, fallback mechanisms, human\-in\-the\-loop controls and safe failure handling. * Shape reusable AI platforms, knowledge services, evaluation harnesses, guardrails and LLMOps capabilities in partnership with engineering, technology, cybersecurity, risk and product leaders. * Clearly distinguish development\-process automation from runtime AI\-system behaviour: govern coding and analysis assistants as productivity tools while separately engineering and validating RAG, LLM and agentic components that operate within delivered AI systems. * Establish rigorous evaluation frameworks covering task quality, groundedness, retrieval performance, hallucination risk, safety, robustness, bias, privacy, latency, cost and human oversight. * Define governance standards for AI system design, validation, monitoring, model risk, human accountability, auditability and responsible AI practices. * Ensure AI systems are designed with appropriate controls for healthcare privacy, security, compliance, explainability, fairness and operational safety. AI\-Assisted Development and Productivity * Champion the responsible adoption of modern AI\-powered development tools, such as coding assistants, analytical copilots and platform\-native AI assistants, to streamline model development, automate repetitive tasks, accelerate analytical insights and improve engineering productivity. * Define approved usage patterns, quality controls, adoption metrics and value measures for AI\-assisted development and process automation. * Ensure productivity tools are adopted responsibly without compromising security, intellectual property, scientific quality or decision accountability. * Influence executive strategy, investment and risk decisions by communicating evidence, uncertainty, trade\-offs, expected impact and operational implications. * Build organisational capability through mentorship, standards, training, communities of practice and external thought leadership. * Develop senior technical talent and raise the overall quality of AI system design, scientific reasoning and production delivery across the function. Work Location: Chennai, Tamil Nadu, India Availability: Full time

Job Title: Associate Data Scientist, Machine Learning Company: Trinity Life Sciences Job Category: Machine Learning Roles & Responsibilities: Reponsibility * Research \& develop business use cases where we can integrate LLM efficiently. 2\. Conduct research to identify opportunities for integrating Large Language Models (LLMs) into various business use cases. * Stay up\-to\-date with the latest advancements in AI, machine learning, and natural language processing (NLP). * Experiment with cutting\-edge AI technologies and algorithms to solve complex problems. * Collaborate with cross\-functional teams to identify and implement opportunities for integrating LLMs into various business processes and applications. * Evaluate the performance of machine learning and deep learning models and fine\-tune them for better accuracy and efficiency. * Implement best practices for model optimization and hyperparameter tuning. 8\. Collaborate with data scientists, engineers, product managers, and other stakeholders to drive AI initiatives forward. * Discover and investigate open\-source models that can be utilized for specific tasks, such as summarization and sentiment detection. * Proficiency in creating data pipelines. Work Location: Bangalore Urban, Karnataka, India Availability: Full time