Job Title: Specialist Data Scientist, Actimize Company: NiCE Job Category: Machine Learning Roles & Responsibilities: So, what’s the role all about? We are seeking for a seasoned Data Scientist (5 \+ yrs) 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 collaborating with cross\-functional teams to solve complex business problems at the fraud prevention domain. 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 datasets. * Utilize statistical techniques and quantitative analysis to identify trends, patterns, and correlations within the data. * Translate business problems into analytical solutions in partnership with Product, Engineering, and domain SMEs. * Mentor and upskill junior data scientist, champion best practices in code quality, experimentation, and documentation. * Stay abreast of the latest advancements in Data Science, Machine Learning, Generative AI and recommend innovative approaches to solve business challenges. 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! Reporting into: Group Manager 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: Senior Machine Learning Engineer Company: Philodesign Technologies Inc Job Category: Machine Learning Roles & Responsibilities: 🔹 Key Responsibilities * Understand business challenges, identify root causes, and define measurable success criteria. * Design and develop end\-to\-end AI/ML solutions, from data exploration and experimentation to production deployment and monitoring. * Apply classical machine learning, deep learning, Generative AI, LLMs, computer vision, forecasting, anomaly detection, and optimization as appropriate. * Build production\-ready ML pipelines, APIs, data pipelines, evaluation frameworks, and monitoring systems. * Evaluate solutions based on accuracy, reliability, latency, scalability, cost, and business impact. * Collaborate with engineering, product, data, and domain teams to deliver practical AI solutions. * Provide technical direction, review implementations, and mentor team members. * Communicate technical decisions and trade\-offs effectively to technical and business stakeholders. Work Location: Pune City, Maharashtra, India Availability: Full time
Job Title: AI/ML Engineer - Edge AI & Computer Vision Company: Syntel by Arvind Job Category: Machine Learning Roles & Responsibilities: We are seeking an AI/ML Engineer with expertise in Machine Learning, Computer Vision, and Edge AI to develop, optimize, and deploy intelligent AI solutions across cloud and edge platforms. * Python, C\+\+, PyTorch, TensorFlow * Computer Vision \& Image Processing * Edge AI, NPUs, AI Chips, ARM Processors * ONNX, TensorFlow Lite (TFLite) * Model Optimization, Quantization \& Pruning * Embedded Linux, Docker * Generative AI \& LLMs (Preferred) * REST API Development Responsibilities: * Design, develop, and deploy AI/ML models for real\-world applications. * Build Computer Vision solutions for image and video analytics. * Optimize AI models for edge devices and embedded platforms. * Integrate AI solutions with enterprise applications through APIs. * Collaborate with cross\-functional teams to deliver innovative AI products. Work Location: Pune City, Maharashtra, India Availability: Full time
Job Title: AI / LLM Engineer Company: Infosys Limited Job Category: Machine Learning Roles & Responsibilities: Job Description: -------------------- Key Responsibilities: ------------------------- * Design and implement LLM powered workflows for summarization narrative generation classification extraction contextual reasoning explanation and reviewer assist use cases * Build retrieval augmented generation pipelines including document ingestion chunking embedding generation metadata tagging vector indexing retrieval tuning and grounded response generation * Develop reusable prompt templates prompt versions context builders response schemas evaluation routines and AI orchestration services * Integrate with enterprise AI services such as Azure OpenAI Azure AI Foundry OpenAI APIs Google Gemini Anthropic Hugging Face or equivalent approved platforms * Implement AI run logging prompt model metadata capture evidence citations output traceability reviewer feedback capture and human in the loop controls * Build AI evaluation routines for answer quality retrieval quality hallucination checks regression testing consistency and groundedness * Collaborate with backend and DevOps teams to containerize AI services deploy them securely monitor usage track costs and troubleshoot production issues * Support responsible AI practices such as prompt injection checks data leakage prevention policy based guardrails and AI output validation * 2-3 years of experience in software engineering AI ML engineering applied ML data science engineering or related roles * Strong hands on Python programming experience and practical exposure to LLM based application development * Experience with RAG vector databases embeddings prompt engineering evaluation frameworks and AI service integration * Experience with frameworks such as LangChain LangGraph LlamaIndex Semantic Kernel AutoGen CrewAI or equivalent tools * Working knowledge of REST APIs microservices SQL structured data concepts Git workflows testing and software engineering practices * Understanding of document extraction semantic search NLP retrieval quality hallucination risk prompt safety and AI evaluation methods * Ability to build production oriented AI components rather than isolated proof of concept demos Additional Responsibilities: -------------------------------- Work Location: Pune, India Availability: Full time
Job Title: AI/ML Engineer Company: Zepcruit Job Category: Machine Learning Roles & Responsibilities: The AI/ML Engineer will design, develop, and validate machine learning models that support product features and internal analytics. Working closely with data engineers and product owners, the engineer translates business requirements into data pipelines, feature sets, and model prototypes. The role owns end\-to\-end model development for assigned use cases, including data preparation, algorithm selection, training, evaluation, and documentation. By monitoring model performance in production, the engineer helps identify drift and suggests improvements. This position requires independent execution of defined projects, clear communication of technical findings, and collaboration with cross‑functional teams to ensure models meet accuracy and reliability standards. Key Responsibilities * Gather and clean structured and unstructured data sets required for model training, documenting data lineage and quality checks. * Develop feature engineering pipelines using Python and pandas to create reproducible inputs for machine learning algorithms. * Select, implement, and fine‑tune supervised learning models (e.g., regression, classification) with scikit\-learn or TensorFlow, adhering to project constraints. * Conduct systematic model evaluation, generating performance reports and visualizations for stakeholder review. * Write reusable code modules and unit tests, maintaining version control with Git and following team coding standards. * Deploy trained models to a staging environment using Docker containers and validate inference latency and resource usage. * Monitor deployed models for performance decay, collect feedback, and propose retraining or parameter adjustments. * Collaborate with product managers to translate business objectives into measurable model success criteria. * Document model architecture, training procedures, and operational guidelines in the team's knowledge base. Work Location: Pune Division, Maharashtra, India Availability: Full time
Job Title: Robotics & AI Field Educator Company: Neod Global Pvt Ltd Job Category: Machine Learning Roles & Responsibilities: Role overview Key responsibilities * Travel to assigned schools, districts and events to run robotics and AI sessions for students from Grades \[3–10]. * Deliver engaging, age\-appropriate workshops: building robots, basic coding, sensors, and how AI works in everyday life. * Run live demos and school assemblies that spark interest in STEM, including in schools with little prior tech exposure. * Carry, set up, maintain and safely handle robotics kits, laptops and demo equipment on the road. * Teach using the myRobo curriculum, and adapt it to local languages, class sizes and available infrastructure. * Train and support school teachers so they can continue lessons after the visit. * Coordinate visit schedules, logistics and permissions with school principals and the central team. * Collect student and teacher feedback, photos and attendance, and file a short report after every visit. * Spot talented students and help prepare teams for robotics and AI olympiads and competitions. * Share ideas with the curriculum and product teams to improve lessons and kits. Work Location: In person Work Location: Pune, India Availability: Full time
Job Title: Senior Data Science Engineer - Mobility Company: Eaton Job Category: Machine Learning Roles & Responsibilities: "The Centre for Intelligent Power located at Eaton India’s Innovation Centre in Pune and Eaton’s global headquarters in Dublin, applies data science to transform all aspects of our company. We’re working on solving the technical challenges of today’s digital world, while developing ground\-breaking technology that’s going to power the next generation of futuristic products and services. We’re continuing to expand our organization and we are excited to announce that we are recruiting a Senior Data Scientist to join our team. The Senior Data Scientist will majorly collaborate with Eaton's Mobility product group to develop new data\-science based product features. The features will primarily address emergent use cases in the mobility and automotive domains. The successful candidate will be expected to analyse requirements to drive the research and development of Machine Learning techniques to production of the features and monitoring after. In addition, the candidate will be expected to understand and consider system constraints – especially constraints related to implementing algorithms on resource\-constrained platforms. This position will be part of the planned Mobility Spin\-off." * Collaborate with Eaton's mobility business units to identify and evaluate opportunities for leveraging data science, particularly for enhancing future product features. * Lead the research and development of problem statements on complex datasets using cutting\-edge data science techniques, including traditional machine learning, deep learning, and generative AI, while proving feasibility. * Design and develop algorithms and datasets while accounting for system constraints and ensuring alignment with platform requirements. * Plan and manage project roadmaps, estimate timelines and resources, and proactively address blockers or technical challenges throughout the project lifecycle. * Document and communicate solutions effectively through flowcharts, diagrams, code comments, snippets, and performance metrics. * Ability to lead a project independently without handholding and able to break down a project into technical requirements and work on solution design as well. * Ability to work with and collaborate with Data Engineers, DevOps, MLOps, QA and UI/UX teams to execute and deliver projects * Mentor and guide team members in the use of data science tools, techniques, and best practices. * Stay updated on the latest advancements in data science methodologies, tools, and technologies. * Safeguard intellectual property and ensure compliance with relevant policies. * Contribute towards filing patents, IP creation, disclosures and white paper publications" * Extensive practical experience across multiple projects of developing algorithms involving state\-of\-the\-art AI/ML techniques, including deep learning * Skilled in the disciplined application of data science to solve business problems \- time\-boxed exploratory research, track progress with respect to defined metrics, frequent stakeholder feedback * Excellent Python programmer and following standard coding practices * Exposure to LLMs, SLMs and Generative AI * Exposure of MATLAB/Simulink programming * Experience working with Agile development methodologies and concepts. * Excellent verbal and written communication skills * Strong stakeholder management experience with the ability to influence key decision makers. * High comfort engaging with academic literature. * Research oriented mindset with ability to do extensive literature search for solving any problem Work Location: Pune Division, Maharashtra, India Availability: Full time
Job Title: Digital - Senior Company: EY Job Category: Machine Learning Roles & Responsibilities: About Global Delivery Services Global Delivery Services refers to EY's worldwide network of service delivery centers. The GDS team plays an important role in EY’s strategy by ensuring effective support to EY’s growth agenda. Client service is focused on providing Consulting, Assurance, Tax, Strategy \& Transactions, and Knowledge support to our clients around the world. The teams enable account teams worldwide to provide seamless, high\-quality, value\-added support, helping deliver exceptional client service. Enablement Services provides cost\-effective, high\-skilled, and innovative services to support EY’s global and local enablement teams. Markets, BMC, AWS, Finance and Accounting, Risk Management, Procurement, People Shared Services, IT Service Delivery and IT Global Infrastructure services, are among the services offered by Enablement Services. The Opportunity We are looking for a Senior AI Engineer with 4\-8 years of overall experience to design, build, and deploy production\-grade AI systems. The ideal candidate has strong hands\-on expertise in Python, Generative AI and Agentic AI, backed by a solid foundation in Machine Learning, Deep Learning, NLP, and Transformer architectures. This is a hands\-on role where you will be expected to operate as a strong individual contributor while also being able to work at a lead capacity, engaging directly stakeholders to translate business needs into scalable technical solutions. Your Key Responsibilities * Own features end\-to\-end, from problem framing and model development to API design, deployment, and scaling on the cloud. * Design, build, and deploy production\-grade AI systems. * Engage directly with stakeholders to translate business needs into scalable technical solutions. * Design and develop REST/APIs and integrate AI models into services. * Scale applications and optimize performance for high\-volume workloads. * Deploy and operate models/services in production environments (CI/CD, containerization, monitoring). * Operate as a strong individual contributor and lead at a stakeholder engagement capacity. * Guide and mentor junior engineers. What We Look For * Excellent verbal and written communication skills. * Ability to clearly articulate technical concepts to both technical and non\-technical audiences. * Strong ownership, accountability, and a delivery\-focused mindset. * Leadership presence and the ability to guide and mentor junior engineers. * Strong problem\-solving and analytical thinking. * Collaborative team player who can also work independently with minimal supervision. * Our Commitment: As a commitment, we persistently endeavour to embody our values, fulfil our purpose, and champion inclusiveness. Our dedication is to cultivate EY into an environment where diverse perspectives are celebrated, creating a supportive atmosphere for individuals to authentically be themselves and contribute their utmost. * Professional Development: From entry\-level employees to senior leaders, we believe in continuous learning. We offer opportunities to build new skills, take on leadership roles, and connect and grow through mentorship. * People and Culture: In our dynamic workplace, diversity, equity, and inclusiveness are ingrained in our culture. We're united by a commitment to create an environment where every individual's differences are valued, practices are equitable, fostering a sense of belonging. Our shared values include integrity, respect, teaming, inclusiveness, energy, enthusiasm, courage to lead, and building relationships based on doing the right thing. * Benefits: Embark on a transformative career journey with us and indulge in a suite of premium benefits, encompassing exclusive health and wellness packages, enticing rewards, and cutting\-edge learning opportunities that empower you to continually grow and excel in your professional and personal development. * How to Apply: If you are passionate to join us and are aligned with our commitment to building a better working world, we invite you to apply by completing our user\-friendly form with personal and professional information and by providing your consent to data privacy. Work Location: Pune City, Maharashtra, India Availability: Full time
Job Title: Machine Learning-AI and Data Science Engineer III Company: Deloitte Job Category: Machine Learning Roles & Responsibilities: Level: AI and Data Science Engineer III As an experienced AI and Data Science Engineer III at Deloitte Consulting, you will design, develop, and deploy enterprise\-scale software solutions, lead the creation of robust pipelines and manage code deployment across environments. You will collaborate with cross\-functional, global teams to translate functional requirements into effective deliverables, independently guiding and mentoring junior team members. Your role spans the full project lifecycle, including estimation, planning, execution, and tracking key metrics for analysis, ensuring high\-quality and timely delivery of solutions. Work you’ll do: Lead discussions with business and functional analysts to understand requirements and assess integration impacts on business architecture. Prepare technical architecture and design, clarify requirements, and resolve ambiguities. Develop solutions in line with established technical designs, integration standards, and quality processes. Create and enforce technical design and development guides, templates, and standards. Facilitate daily scrum meetings, manage deliverables, and prepare weekly status reports for leadership review. Conduct detailed deliverable reviews and provide technical guidance to team members. Collaborate with onsite clients, coordinators, analysts, and cross\-functional teams. Design templates or scripts to automate routine development or operational tasks. The team: AI \& Data offers a full spectrum of solutions for designing, developing, and operating cutting\-edge Data and AI platforms, products, insights, and services. Our offering helps clients innovate, and enhance their data, AI, and analytics capabilities, ensuring they can mature and scale effectively. * Design and modernize large\-scale data and analytics platforms including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud, edge and AI/ML technologies, platforms and methodologies for storage, processing * Leverage automation, cognitive and AI based solutions to manage data, predict scenarios and prescribe actions * Drive operational efficiency by managing and upgrading their data ecosystems and application platforms, utilizing analytics expertise and providing As\-a\-Service models to ensure continuous insights and enhancements. \#FY27ReferralCampaign \#2027\AI\&E\Dscreen \#AI\&DATAROLESAUGUST29 \#AID2026 Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state\-of\-the\-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Work Location: Pune Division, Maharashtra, India Availability: Full time
Job Title: Lead Data Scientist - AI Delivery Company: Wolters Kluwer Job Category: Machine Learning Roles & Responsibilities: About The Role The FCC DnA team is seeking an experienced Lead Data Scientist to provide technical and delivery leadership across multiple AI and Data Science initiatives. This role will serve as a key India delivery partner to the U.S. AI leadership team and will be responsible for independently driving execution across products and use cases such as Data Integrity, intelligent document processing, Broker Statement processing, workflow automation and other Applied AI initiatives. The role requires a strong technical leader who can manage a small team, translate business priorities into executable plans, remove delivery blockers and work effectively across Data Science, Product, Engineering and Platform teams. Since these solutions are deployed on the Digital Twin platform, the successful candidate should be comfortable working with platform engineering teams on APIs, environments, deployments, integrations, monitoring and production issues. This is not intended to be a pure people\-management role or a pure modeling role. The person should maintain strong technical depth across Data Science, Machine Learning and Applied AI, while also understanding enough software and platform engineering to move solutions from development through production. Experience with Statistical Modeling and model lifecycle management is a strong plus, as the role will also support and collaborate with the broader AI Modeling team. The successful candidate should be able to work independently with limited day\-to\-day supervision, take ownership of delivery outcomes, communicate risks and decisions clearly, and present technical progress and recommendations confidently to senior leaders. Key Responsibilities * Own end\-to\-end delivery of multiple AI and Data Science initiatives from requirements and solution design through development, testing, deployment and production stabilization. * Act as the primary India delivery lead for assigned initiatives and independently manage priorities, milestones, dependencies, risks and execution. * Lead and mentor a small team of Data Scientists, AI Engineers and technical resources, providing clear direction, technical guidance and accountability. * Translate ambiguous business problems into practical AI, analytics and engineering solutions aligned to business outcomes. * Partner closely with the Digital Twin platform team to resolve environment, integration, deployment, performance and production issues. * Provide sufficient technical depth to distinguish whether issues originate in the model, application, integration, data or platform layer and coordinate the appropriate resolution. * Participate in solution architecture and design discussions and ensure solutions are scalable, reliable, secure and maintainable. * Guide teams on API integrations, data pipelines, authentication, cloud environments, CI/CD, logging, monitoring and other production dependencies. * Provide technical oversight for Machine Learning, NLP, document intelligence, Generative AI, RAG and Agentic AI solutions. * Review model and AI approaches, evaluation methodology, error analysis, performance metrics and implementation trade\-offs. * Partner with the AI Modeling team on model development, validation, monitoring, drift detection and productionization when required. * Drive root\-cause analysis and corrective actions when solution accuracy, reliability or production performance is below expectations. * Promote reusable frameworks, components and delivery patterns that can support multiple products and customers. * Partner with Product, Business, Advisory, Engineering and Content teams to ensure technical delivery remains aligned to customer and business needs. * Provide concise status updates covering progress, risks, dependencies and decisions required, and escalate issues early with recommended actions. * Present technical solutions, delivery updates and recommendations clearly to senior leaders and non\-technical stakeholders. * Support hiring, interviewing, mentoring and capability development as the AI/Data Science team grows. * 8\+ years of progressive experience in Data Science, Machine Learning, Applied AI, AI Engineering or related technical roles. * Demonstrated experience leading end\-to\-end delivery of production AI, Machine Learning or analytics solutions. * At least 2\-0 years of experience leading technical teams, workstreams or complex cross\-functional initiatives. * Proven ability to independently manage multiple projects or workstreams with limited supervision. * Experience working with Engineering, Platform, DevOps or Cloud teams to move AI solutions into production. * Experience troubleshooting production issues and coordinating resolution across multiple technical teams. * Experience managing, mentoring or providing technical direction to Data Scientists and/or AI Engineers. * Experience communicating technical decisions, risks and outcomes to senior stakeholders. * Experience working in distributed or global teams is strongly preferred. * Experience in Financial Services, Banking, Insurance, Risk, Regulatory or Compliance environments is desirable. * Strong understanding of Statistics, Machine Learning and predictive modeling concepts. * Experience with regression, classification, tree\-based models, ensemble methods, clustering and other common Machine Learning techniques. * Strong understanding of model evaluation, validation, feature engineering, overfitting, class imbalance, data leakage and model monitoring. * Ability to challenge model selection and evaluation approaches and assess trade\-offs across accuracy, explainability, stability and maintainability. * Understanding of model lifecycle management including development, validation, deployment, monitoring, drift detection and retraining. * Experience with document intelligence, NLP or unstructured data processing is highly desirable. * Experience with Generative AI, LLMs, embeddings, RAG and Agentic AI is highly desirable. * Ability to determine when traditional Machine Learning, Generative AI or a hybrid approach is most appropriate. * Strong Python skills and good SQL and data engineering fundamentals. * Strong understanding of REST APIs and enterprise system integrations. * Experience with Azure and/or AWS cloud environments. * Good understanding of Docker, Git, CI/CD and modern software delivery practices. * Working knowledge of application architecture, microservices and scalable system design. * Understanding of authentication, secrets management, API security and enterprise networking concepts. * Experience with logging, monitoring, troubleshooting and production support. * Understanding of MLOps and/or LLMOps practices including versioning, deployment, monitoring and evaluation. * Ability to work effectively with platform engineers without needing to be a dedicated platform engineer. Leadership Mindset * Takes ownership of outcomes rather than limiting responsibility to assigned tasks. * Works independently and moves initiatives forward even when requirements or dependencies are ambiguous. * Balances business priorities, technical quality, delivery speed and long\-term maintainability. * Identifies risks early, performs root\-cause analysis and brings solution\-oriented recommendations. * Challenges technical assumptions constructively and raises the quality of decisions across the team. * Develops team members through technical coaching, clear expectations and meaningful feedback. * Communicates confidently with Data Scientists, Engineers, Product leaders and senior business stakeholders. * Can present complex technical topics in clear business language and influence decisions across teams. * Remains hands\-on enough to provide meaningful technical guidance while successfully leading delivery across multiple initiatives. * Demonstrates strong judgment, accountability and a collaborative leadership style. Work Location: Pune/Pimpri-Chinchwad Area Availability: Full time
