1380 Deep Learning Jobs - Page 44

Select with space bar to view the full contents of the job information. Staff Researcher - Multimodal Lab Job Details | Dolby Laboratories, Inc. Select how often (in days) to receive an alert: Select how often (in days) to receive an alert: Staff Researcher - Multimodal Lab Dolby Laboratories, Inc. Join the leader in entertainment innovation and help us design the future. At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby team, you ll see and hear the results of your work everywhere, from movie theaters to smartphones. We continue to revolutionize how people create, deliver, and enjoy entertainment worldwide. To do that, we need the absolute best talent. We re big enough to give you all the resources you need, and small enough so you can make a real difference and earn recognition for your work. We offer a collegial culture, challenging projects, and excellent compensation and benefits. This position is based in Bangalore. We work jointly from the office and offer some flexibility to work from home. Summary Dolby s research division is looking for a volumetric imaging researcher to join Dolby s research efforts to develop the next generation of volumetric or spatial scene understanding and representation technologies. In this position you will join the Multimodal Experience Lab within Dolby s Advanced Technology Group. You will work with a seasoned team of researchers to develop volumetric scene representation, novel view synthesis, scene analysis and understanding, and scene rendering technologies. You will be the lead contributor to research the state of the art and then push beyond, specifically in domains related to the composition and de-composition of volumetric scenes, as well as understanding and manipulating lighting, shadows, and occlusion. The researcher is responsible for performing fundamental new research, transferring technology to product groups, and drafting patent applications. Main responsibilities Perform cutting-edge research in computer graphics and view synthesis Work as a part of a top-notch research team. Define and execute research roadmaps Use good development methodology, including quality metrics and test content, to validate algorithmic solutions Use AI and deep learning techniques to create new solutions and enhance existing applications. Share knowledge via technical whitepapers, publications, and internal presentations Transfer technology to product groups and draft patent applications. Stay abreast of state-of-art research in the computer graphics/computer vision fields Requirements Ph.D. in Computer Science, Electrical Engineering, Applied Math, Physics, or similar Strong publication record with publications in major conferences/journals Strong background in view synthesis and/or light-field research Familiarity with various scene representation such as Gaussian Splatting or NeRF Demonstrated proficiency in computer graphics/computer vision R&D Experience with research-oriented programming languages (Python, Matlab, or C/C++) Experience building and testing models in Pytorch/Tensorflow environments Excellent written and verbal communication skills are required Strong team player, able to work with colleagues in research and software development fields Strong expertise in deep learning-based solutions Nice to have: Experience with real-time graphics (OpenGL/Cuda/DirectX/Vulkan) Experience with Pytorch3D Experience with Game engines (Unreal, Unity) Experience with XR environments, capture, and devices

About EarnIn As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks. We re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We re growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey. POSITION SUMMARY As a Fintech company where Machine Learning (ML) is one of the key features, our operations highly rely on machine learning models, from business decisions to customer experiences. Therefore, ensuring our machine learning systems health and scalability is critical. To guarantee the success of machine learning systems, work needs to be done around transforming ML models to high-performance production-level code. This includes not only implementing sophisticated machine learning algorithms but also robustness monitoring, system logging/alarming, and DevOps. This position will be based in Bengaluru, which is part of our expanding site location. WHAT YOUll DO Design, build, and launch efficient and reliable machine learning (ML) models to drive business impact. Train and validate state-of-the-art multi-modal, multi-task deep learning models as well as statistical models considering use-case, complexity, performance, and robustness Demonstrate an end-to-end understanding of applications and develop a deep understanding of the why behind our models and systems. Work closely with data platform teams to enable robust, scalable batch and real-time data pipeline.s Drive the teams high ML and engineering standards through learning and knowledge sharing. Drive engineering best practices around code reviews, automated testing, and monitoring WHAT WERE LOOKING FOR Bachelors, MS degree, or PhD degree in Computer Science or a related technical field 0-1 year of experience in ML engineering Strong programming skills in Python and data engineering skills In-depth knowledge of machine learning algorithms Knowledge of or ability to quickly learn architectural patterns for large, high-scale software applications Strong oral and written communication skills Experience in NLP or CV is a plus #LI-Hybrid

ECMS Req # ECMS#527449,527448,527447 - AWS SageMaker ML and GEN AI Engineer Role Senior Lead Data Scientist Number of Openings 3 Duration of project 6-12 months(initial contract 3 months, later extended based on project) No of years experience 5+ years Detailed job description - Skill Set: The AWS SageMaker Engineer (Gen AI, LLMs, NLP) will design, develop, and deploy advanced machine learning models, focusing on Generative AI, Large Language Models (LLMs), Agentic AI, traditional AI, and Natural Language Processing (NLP) using AWS SageMaker and AWS Bedrock. This role involves leveraging Python and deep learning frameworks to build scalable, intelligent systems for tasks like text generation, sentiment analysis, autonomous decision-making, and more, using models such as LLaMA or similar. The engineer will collaborate with data scientists, AI researchers, and DevOps teams to deliver production-ready AI solutions that align with business objectives. Key Responsibilities: Model Development: Build, train, and fine-tune Gen AI, LLMs, Agentic AI, and traditional AI models using AWS SageMaker and AWS Bedrock, including deep learning models for NLP tasks (e.g., text classification, entity recognition, summarization) and models like LLaMA. Fine-Tuning Customization: Fine-tune pre-trained LLMs Experience: 4+years of experience in machine learning engineering, with expertise in Gen AI, LLMs, traditional AI, deep learning, and NLP. 6+ Hands-on experience with AWS Devops and AWS Bedrock for training, fine-tuning, and deploying AI models. Experience with open-source LLMs (e.g., LLaMA) or Bedrock-hosted models (e.g., Titan, Claude Experience with AWS Dev Ops, CI/CD integration. Kubernetes, Dockers Experience in Creating ML Flows using AWS Sagemaker Experience in using ML Models monitoring using clodwatch Experience in working with GEN AI, Langchain, Open AI Models and deployment of GEN AI models using AWS Sagemaker Experience in Deploying ML models using AWS sagemaker ML workflow orchestration and enabling CI/CD integration Experience with AWS services (e.g., S3, Lambda, Step Functions, Comprehend) and cloud architecture. Soft Skills: Strong problem-solving and analytical skills. Excellent communication to convey complex AI/NLP concepts to non-technical stakeholders. Ability to thrive in collaborative, fast-paced environments. Mandatory Skills AWS Sagemaker Professional with ML, NLP, GEN AI and Dev Ops experience. Vendor Billing range 8000-9000 per day depending on experience and interview performance. Work Location Bangalore, Hyderabad Hybrid Yes BGV Pre/Post onboarding Pre If its pre-onboarding, Interim or final BG report Final BG Report

Role: Proven experience as an AI Developer or similar role. Develop and optimize deep learning models to improve operational efficiency. Design and implement various neural network architectures tailored to specific tasks. Process and visualize complex data to extract actionable insights. Enhance natural language processing capabilities to streamline communication and automation. Deploy AI solutions that integrate seamlessly with existing systems and workflows. Ensure AI security and compliance with industry standards. Provide technical leadership and mentorship to junior team members, fostering best practices and continuous learning Collaborate with cross-functional teams, including data scientists, software engineers, product managers, and business stakeholders, to define AI solution objectives and deliver impactful results Qualifications .Requirements: BSc/BTech/BE degree in Computer Science, Engineering, Data Science, or a relevant field. 5+ years of experience in AI. Proficiency in Python and relevant AI frameworks (TensorFlow, PyTorch, scikit-learn, LangChain etc) Ability to incorporate AI models from the initial idea to execution. Proficiency in mathematical principles that underpins AI algorithms and theories. Specialized knowledge in generative AI (GenAI) and large language models (LLMs). Experience in selecting, enhancing and deploying deep learning models. Strong understanding of neural network architectures. Expertise in data processing and visualization. Adept in natural language processing and AI security. Applying expertise in neural network architectures, specifically for GenAI and LLM applications. Build and maintain robust data pipelines for large-scale data ingestion, preprocessing, feature engineering, and model training Concepts on RAG and Vector DB

Location-Bangalore / Pune / HyderabadShift-2pm-11pm Role : GenAI Full stack developersWe are seeking a talented Full Stack Developer with expertise in Generative AI and a strong background in Microsoft technologies. This role involves developing and maintaining innovative AI-driven applications using Azure OpenAI GPT4o services.Key Responsibilities:1. Collaborate with cross-functional teams to design, develop, and deploy AI applications using OpenAI GPT-4 and GPT-4o on the Azure cloud platform.2. Develop and refine machine learning models, using state-of-the-art techniques in natural language processing and deep learning.3. Perform data wrangling, preprocessing, and feature engineering to prepare data for modeling.4. Analyze and interpret complex datasets, providing actionable insights and recommendations to stakeholders.5. Maintain and update AI models, ensuring their accuracy and relevance to business needs.6. Stay up to date with the latest research, tools, and technologies in the field of artificial intelligence and machine learning.7. Create and maintain documentation, including technical specifications, user guides, and best practices for AI development.8. Define data ingestion strategy for variety of file types i.e., word, ppt, excel, images etc..9. Define Prompt Engineering guidelines for the GPT-4o Bots for effective generation.Required Skills and Experience:4+ years of experience with Python, JavaScript, React, Node.js, and Express.Proficiency in databases such as MySQL, PostgreSQL, and MongoDB.Experience with Azure services, including Azure Functions, Azure DevOps, and Azure Cognitive Services.Strong understanding of web serversFamiliarity with containerization technologies such as Docker and Kubernetes.Ability to write clean, efficient, and reusable code.Strong problem-solving skills and the ability to troubleshoot complex issues.Preferred Qualifications:Experience with Generative AI models and integrating them into applications.Knowledge of agentic workflows like CrewAI or Autogen.Experience in a startup environment or entrepreneurial spirit.Familiarity with CI/CD pipelines and automated deployment processes.

We are looking for a highly skilled Data Scientist (LLM) to join our AI and Machine Learning team. The ideal candidate will have a strong foundation in Machine Learning (ML), Deep Learning (DL), and Large Language Models (LLMs) , along with hands-on experience in building and deploying conversational AI/chatbots . The role requires expertise in LLM agent development frameworks such as LangChain, LlamaIndex, AutoGen, and LangGraph . You will work closely with cross-functional teams to drive the development and enhancement of AI-powered applications. Key Responsibilities: Develop, fine-tune, and deploy Large Language Models (LLMs) for various applications, including chatbots, virtual assistants, and enterprise AI solutions. Build and optimize conversational AI solutions with at least 1 year of experience in chatbot development. Implement and experiment with LLM agent development frameworks such as LangChain, LlamaIndex, AutoGen, and LangGraph . Design and develop ML/DL-based models to enhance natural language understanding capabilities. Work on retrieval-augmented generation (RAG) and vector databases (e.g., FAISS, Pinecone, Weaviate, ChromaDB) to enhance LLM-based applications. Optimize and fine-tune transformer-based models such as GPT, LLaMA, Falcon, Mistral, Claude, etc. for domain-specific tasks. Develop and implement prompt engineering techniques and fine-tuning strategies to improve LLM performance. Work on AI agents, multi-agent systems, and tool-use optimization for real-world business applications. Develop APIs and pipelines to integrate LLMs into enterprise applications. Research and stay up to date with the latest advancements in LLM architectures, frameworks, and AI trends . Requirements Required Skills Qualifications: 3-5 years of experience in Machine Learning (ML), Deep Learning (DL), and NLP-based model development. Hands-on experience in developing and deploying conversational AI/chatbots is Plus Strong proficiency in Python and experience with ML/DL frameworks such as TensorFlow, PyTorch, Hugging Face Transformers . Experience with LLM agent development frameworks like LangChain, LlamaIndex, AutoGen, LangGraph . Knowledge of vector databases (e.g., FAISS, Pinecone, Weaviate, ChromaDB) and embedding models . Understanding of Prompt Engineering and Fine-tuning LLMs . Familiarity with cloud services (AWS, GCP, Azure) for deploying LLMs at scale. Experience in working with APIs, Docker, FastAPI for model deployment. Strong analytical and problem-solving skills. Ability to work independently and collaboratively in a fast-paced environment. Good to Have: Experience with Multi-modal AI models (text-to-image, text-to-video, speech synthesis, etc.) . Knowledge of Knowledge Graphs and Symbolic AI . Understanding of MLOps and LLMOps for deploying scalable AI solutions. Experience in automated evaluation of LLMs and bias mitigation techniques . Research experience or published work in

Role & responsibilities Python, ML, NLP (LDA, embeddings, RAG), AI techniques, LLM-based matching (e.g., GPT/embeddings), timeseries forecasting Django is essential Experience with Databricks, Azure ML Stack, OpenAI API, Spark, and fuzzy matching would be a plus. Builds and deploys ML pipelines (incl. MLOps, API endpoints, CI/CD) Works with Lang chain, Azure Synapse, Kubernetes, and modern ML frameworks

Responsibilities: Develop and execute the AI/ML strategy aligned with the organization's overall goals. Drive innovation in AI/ML technologies and solutions to enhance business outcomes. Mentor and guide team members in developing technical skills. Oversee the end-to-end delivery of AI/ML projects from inception to deployment. Ensure projects are delivered on time, within budget, and meet quality standards. Collaborate with clients to understand their AI/ML needs and propose tailored solutions. Act as a thought leader in AI/ML during client interactions and presentations. Stay updated with the latest trends and advancements in latest technologies. Evaluate and implement new tools, frameworks, and methodologies to improve AI/ML capabilities. Work closely with cross-functional teams including sales, marketing, and product management. Build strong relationships with key stakeholders to drive AI/ML adoption across the organization. Requirements: Proven experience 10+ years in leading AI/ML initiatives within a similar role. Strong technical background in machine learning, deep learning, natural language processing, etc. Hands-on experience with AI/ML tools and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Excellent leadership and communication skills with the ability to inspire and motivate teams. Advanced degree (Masters or PhD) in Computer Science, Engineering, or related field preferred.

Hiring for Senior Data Science Experience- 15 Years Position Title - Senior Data Scientist Experience- 15+ years total, 10+ in data and analytics, 6+ in data science Mandatory Skills- Advanced understanding of data modelling, statistical methods and machine learning techniques Advanced understanding of big data, data mining and visualization techniques Experience in unstructured data analysis and natural language processing Experience in any AIOps software Grok, Moogsoft, DataDog etc. Experience in different types of databases – SQL, noSQL, hierarchical databases Experience in data oriented programming languages R, Python etc. Work location- Bangalore Shift – Regular shift IF interested please share your profile on- ekta11.kumari@global.ntt Please share profiles with below details Total exp - Rel Exp NP - C CTC - E CTC - C Location. Preferred candidate profile Role & responsibilities Preferred candidate profile

We're looking for an experienced AI/ML Technical Lead to architect and drive the development of our intelligent conversation engine. Youll lead model selection, integration, training workflows (RAG/fine-tuning), and scalable deployment of natural language and voice AI components. This is a foundational hire for a technically ambitious platform. Key Responsibilities AI System Architecture: Design the architecture of the AI-powered agent including LLM-based conversation workflows, voice bots, and follow-up orchestration. Model Integration & Prompt Engineering: Leverage APIs from OpenAI, Anthropic, or deploy open models (e.g., LLaMA 3, Mistral). Implement effective prompt strategies and retrieval-augmented generation (RAG) pipelines for contextual responses. Data Pipelines & Knowledge Management: Build secure data pipelines to ingest, embed, and serve tenant-specific knowledge bases (FAQs, scripts, product docs) using vector databases (e.g., Pinecone, Weaviate). Voice & Text Interfaces: Implement and optimize multimodal agents (text + voice) using ASR (e.g., Whisper), TTS (e.g., Polly), and NLP for automated qualification and call handling. Conversational Flow Orchestration: Design dynamic, stateful conversations that can take actions (e.g., book meetings, update CRM records) using tools like LangChain, Temporal, or n8n. Platform Scalability: Ensure models and agent workflows scale across tenants with strong data isolation, caching, and secure API access. Lead a Cross-Functional Team: Collaborate with backend, frontend, and DevOps engineers to ship intelligent, production-ready features. Monitoring & Feedback Loops: Define and monitor conversation analytics (drop-offs, booking rates, escalation triggers), and create pipelines to improve AI quality continuously. Qualifications Must-Haves: 5+ years of experience in ML/AI, with at least 2 years leading conversational AI or LLM projects. Strong background in NLP, dialog systems, or voice AI preferably with production experience. Experience with OpenAI, or open-source LLMs (e.g. LLaMA, Mistral, Falcon) and orchestration tools (LangChain, etc.). Proficiency with Python and ML frameworks (Hugging Face, PyTorch, TensorFlow). Experience deploying RAG pipelines, vector DBs (e.g. Pinecone, Weaviate), and managing LLM-agent logic. Familiarity with voice processing (ASR, TTS, IVR design). Solid understanding of API-based integration and microservices. Deep care for data privacy, multi-tenancy security, and ethical AI practices. Nice-to-Haves: Experience with CRM ecosystems (e.g. Salesforce, HubSpot) and how AI agents sync actions to CRMs. Knowledge of sales pipelines and marketing automation tools. Exposure to calendar integrations (Google Calendar API, Microsoft Graph). Knowledge of Twilio APIs (SMS, Voice, WhatsApp) and channel orchestration logic. Familiarity with Docker, Kubernetes, CI/CD, and scalable cloud infrastructure (AWS/GCP/Azure). What We Offer Founding team role with strong ownership and autonomy Opportunity to shape the future of AI-powered sales Flexible work environment Competitive salary Access to cutting-edge AI tools and training resources Post your resume and any relevant project links (GitHub, blog, portfolio) to career@sourcedeskglobal.com. Include a short note on your most interesting AI project or voicebot/conversational AI experience.

Job Description: Data Scientist No of openings 2 Mode of working – Remote Position Overview We are looking for a skilled and driven Data Scientist with 5-7 years of experience in data analysis and predictive modeling. The ideal candidate will have a strong technical foundation, analytical problem-solving skills, and the ability to translate complex data insights into actionable business strategies. Key Responsibilities • Analyze large and complex datasets to uncover meaningful patterns, trends, and insights. • Build, deploy, and validate predictive models, leveraging machine learning techniques and deep learning frameworks. • Develop and implement Generative AI models to solve business challenges. • Perform data preprocessing, exploratory data analysis (EDA), and feature engineering (FE) to prepare data for modeling and optimization. • Write efficient and scalable code in Python, R, and SQL to manage and manipulate data. • Collaborate with cross-functional teams to generate actionable insights that support business decision-making. • Create clear and impactful data visualizations to communicate findings to both technical and non-technical stakeholders. • Continuously monitor and improve model performance using optimization techniques. • Stay up-to-date with advancements in data science, machine learning, and AI technologies. Required Skills and Qualifications • Experience: 5-7 years of hands-on experience in data analysis, predictive modeling, and advanced analytics. • Technical Proficiency: o Strong programming skills in Python, R, and SQL. o In-depth knowledge of machine learning techniques, deep learning frameworks, and Generative AI. o Proficiency in data handling, pre-processing, exploratory data analysis (EDA), feature engineering (FE), and optimization techniques. • Analytical Skills: o Strong problem-solving abilities and attention to detail. o Capability to derive actionable insights and present findings in a businessfriendly manner. • Communication: Excellent verbal and written communication skills to convey complex technical concepts effectively. • Tools & Technologies: Familiarity with data visualization tools (e.g., Tableau, Power BI, Matplotlib, or Seaborn) is a plus. Educational Background • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. What We Offer • A collaborative and innovative work environment. • Opportunities to work on cutting-edge technologies, including Generative AI and advanced machine learning techniques. • Career growth and development opportunities through training and mentorship. If you are passionate about leveraging data to drive impactful business decisions and have a strong technical background, we would love to hear from you! Role & responsibilities Preferred candidate profile

Job Title: Part-Time Data Scientist (Contract) Location: Gurgaon Experience Required: 6+ years Job Description: We are seeking an experienced and highly skilled Data Scientist/AI Developer for a part-time, contract-based position in Gurgaon. The ideal candidate will have extensive experience in Generative AI , Deep Learning applications, and Conversational AI systems , with a focus on creating innovative solutions using cutting-edge technologies. We are looking for a professional who can not only deliver exceptional results but also mentor team members, guide junior professionals, and help build and grow our AI/ML practice to new heights. Key Responsibilities: Develop and deploy advanced conversational AI systems and chatbots using the RASA framework . Integrate Large Language Models (LLMs) and Retrieval-Augmented Generation (RaG) techniques to enhance chatbot capabilities. Design and implement AI-driven solutions that align with client objectives, ensuring seamless performance and functionality. Build and optimize natural language processing models, including intent recognition , slot filling , and entity recognition . Collaborate with cross-functional teams to deliver scalable, cloud-based deployments and CRM integrations, such as Salesforce. Utilize frameworks and tools like LangChain , Google Dialogflow , OpenAI (LLaMA, GPT) , and Whisper ASR for efficient AI development. Leverage expertise in Prompt Engineering , Transformers , and advanced Natural Language Understanding (NLU) for robust AI system development. Employ containerization and deployment technologies like Docker and Kubernetes for streamlined development workflows. Required Skills & Qualifications: Programming Languages: Expert in Python. AI/ML Frameworks: Proficient in RASA, Google Dialogflow, IBM Watson, OpenAI tools (LLaMA, GPT), and LangChain. Natural Language Processing: Strong expertise in Transformers, Intent Recognition, Slot Filling, and Entity Recognition. Generative AI: Proven experience with LLMs and Retrieval-Augmented Generation (RaG). Tools & Technologies: Familiarity with Docker, Kubernetes, Git, and Whisper ASR. CRM Integration: Hands-on experience with Salesforce integration. Other Skills: Prompt Engineering, Cloud-based Deployments, and Bot Frameworks. Experience: Minimum 6 years of professional experience in AI, ML, and Conversational AI systems. Demonstrated ability to deliver innovative AI solutions tailored to business needs.

Job Title Junior Research Fellow (JRF) at Amrita School of Computing Location Amritapuri, Kollam Required Number 1 Qualification Preferred: m-tech /M E /M S /BS-MS in Computer Science, Data Science, Artificial Intelligence, or Computer Science and Engineering with a minimum CPI of 6 5, awarded within the last five years, OR Tech Desirable Qualifications: Prior research or project experience in image processing, image compression, machine learning, or deep learning will be given preference, Job Description Project Title: LHFIC-Earth: Towards Learned High-Fidelity Image Compression of Earth Observation Data for Onboard Processing Funding Agency: Anusandhan National Research Foundation (NRF), Government of India Scheme: SERB Prime Minister's Early Research Grant Duration Initial appointment for 1 year, extendable up to a maximum of 3 years or until project completion, based on performance and availability of funds, Fellowship 37,000 + HRA per month for the first two years 42,000 + HRA per month for the third year Age Limit Upper age limit is 35 years at the time of application Relaxation in age for SC/ST/OBC/PD candidates will be provided as per Government of India norms, Candidates will be shortlisted for interview based on their CV, qualifications and experience Interested candidates are requested to send their application along with a detailed CV, including a list of academic marksheets, publications, awards, research internships, GATE/NET Score Card Only shortlisted candidates will be called for interview and the candidates are required to attend at their own expenses, no TA/DA will be provided During interview, the knowledge of candidates will be assessed in the areas of physics, numerical/ computational methods and programming, Job Category Research Advertisement Budget Null Last Date to Apply May 31, 2025

We encourage you to apply if you have a passion for innovation, a strong technical background, and the ability to lead a team toward impactful, data-driven solutions About iSOCRATES Since 2015, iSOCRATES advises on, builds and manages mission-critical Marketing, Advertising and Data technologies, platforms, and processes as the Global Leader in MADTECH Resource Planning and Execution(TM). iSOCRATES delivers globally proven, reliable, and affordable Strategy and Operations Consulting and Managed Services for marketers, agencies, publishers, and the data/tech providers that enable them. iSOCRATES is staffed 24/7/365 with its proven specialists who save partners money, and time and achieve transparent, accountable, performance while delivering extraordinary value. Savings stem from a low-cost, focused global delivery model at scale that benefits from continuous re-investment in technology and specialized training. About MADTECH.AI MADTECH.AI is the Unified Marketing, Advertising, and Data Decision Intelligence Platform purpose-built to deliver speed to value for marketers. At MADTECH.AI, we make real-time AI-driven insights accessible to everyone. Whether youre a global or emerging brand, agency, publisher, or data/tech provider, we give you a single source of truth - so you can capture sharper insights that drive better marketing decisions faster and more affordable than ever before. MADTECH.AI unifies and transforms MADTECH data and centralizes decision intelligence in a single, affordable platform. Leave data wrangling, data model building, proactive problem solving, and data visualization to MADTECH.AI. Job Description: iSOCRATES is seeking a highly skilled and experienced Lead Data Scientist to spearhead our growing Data Science team. The Lead Data Scientist will be responsible for leading the team that defines, designs, reports on, and analyzes audience, campaign, and programmatic media trading data. This includes working with selected partner-focused Managed Services and Outsourced Services on behalf of our supply-side and demand-side partners. The role will involve collaboration with cross-functional teams and working across a variety of media channels, including digital and offline channels such as display, mobile, video, social, native, and advanced TV/Audio ad products. Key Responsibilities: 1. Team Leadership & Management: Lead and mentor a team of data scientists to drive the design, development, and implementation of data-driven solutions for media and marketing campaigns. 2. Advanced Analytics & Data Science Expertise: Provide hands-on leadership in applying rigorous statistical, econometric, and Big Data methods to define requirements, design analytics solutions, analyze results, and optimize economic outcomes. Expertise in modeling techniques including propensity modeling, Media Mix Modeling (MMM), Multi-Touch Attribution (MTA), Recency, Frequency, Monetary (RFM) analysis, Bayesian statistics, and non-parametric methods. 3. Generative AI & NLP: Lead the implementation and development of Generative AI, Large Language Models, and Natural Language Processing (NLP) techniques to enhance data modeling, prediction, and analysis processes. 4. Data Architecture & Management: Architect and manage dynamic data systems from diverse sources, ensuring effective integration and optimization of audience, pricing, and contextual data for programmatic and digital advertising campaigns. Oversee the management of DSPs, SSPs, DMPs, and other data systems integral to the ad-tech ecosystem. 5. Cross-Functional Collaboration: Work closely with Product, System Development, Yield, Operations, Finance, Sales, Business Development, and other teams to ensure seamless data quality, completeness, and predictive outcomes across campaigns. Design and deliver actionable insights, creating innovative, data-driven solutions and reporting tools for use by both iSOCRATES teams and business partners. 6. Predictive Modeling & Optimization: Lead the development of predictive models and analyses to drive programmatic optimization, focusing on revenue, audience behavior, bid actions, and ad inventory optimization (eCPM, fill rate, etc.). Monitor and analyze campaign performance, making data-driven recommendations for optimizations across various media channels including websites, mobile apps, and social media platforms. 7. Data Collection & Quality Assurance: Oversee the design, collection, and management of data, ensuring high-quality standards, efficient storage systems, and optimizations for in-depth analysis and visualization. Guide the implementation of tools for complex data analysis, model development, reporting, and visualization, ensuring alignment with business objectives. Qualifications: Masters or Ph.D. in Statistics, Engineering, Science, or Business with a strong foundation in mathematics and statistics. Looking for an experience of 8 to 10 years with at least 5 years of hands-on experience in data science, predictive analytics, media research, and digital analytics, with a focus on modeling, analysis, and optimization within the media, advertising, or tech industry. At least 3 years of hands-on experience with Generative AI, Large Language Models, and Natural Language Processing techniques. Minimum 3 years of experience in Publisher and Advertiser Audience Data Analytics and Modeling. Proficient in data collection, business intelligence, machine learning, and deep learning techniques using tools such as Python, R, scikit-learn, Hadoop, Spark, MySQL, and AWS S3. Expertise in logistic regression, customer segmentation, persona building, and predictive analytics. Strong analytical and data modeling skills with a deep understanding of audience behavior, pricing strategies, and programmatic media optimization. Experience working with DSPs, SSPs, DMPs, and programmatic systems. Excellent communication and presentation skills, with the ability to communicate complex technical concepts to non-technical stakeholders. Ability to manage multiple tasks and projects effectively, both independently and in collaboration with remote teams. Strong problem-solving skills with the ability to adapt to evolving business needs and deliver solutions proactively. Experience in developing analytics dashboards, visualization tools, and reporting systems. Background in digital media optimization, audience segmentation, and performance analytics. This is an exciting opportunity to take on a leadership role at the forefront of data science in the digital media and advertising space. If you have a passion for innovation, a strong technical background, and the ability to lead a team toward impactful, data-driven solutions, we encourage you to apply. An interest and ability to work in a fast-paced operation on the analytics and revenue side of our business

Roles & Responsibilities: Design, develop, and optimize computer vision models for tasks like object detection, image segmentation, and video analysis. Implement machine learning algorithms and techniques using Python frameworks (e.g., TensorFlow, PyTorch, OpenCV). Preprocess and augment image/video datasets for model training and testing. Perform exploratory data analysis to extract insights and refine data pipelines. Collaborate with DevOps and engineering teams to deploy machine learning models into production environments. Set up monitoring and performance evaluation for deployed models. Contribute to CI/CD pipelines for AI workflows. Work closely with cross-functional teams, including data scientists, engineers, and product managers, to align on project goals. Document processes, models, and experiments effectively. Requirements: Proficiency in Python and popular AI/ML libraries (TensorFlow, PyTorch, Scikit-learn, OpenCV). Strong understanding of computer vision concepts such as feature extraction, image classification, and object detection. Hands-on experience in developing and training deep learning models for image and video data. Basic knowledge of MLOps practices, including model deployment (e.g., Docker, Kubernetes) and monitoring. Familiarity with version control systems like Git. Experience with cloud platforms (e.g., AWS, GCP, Azure) for AI/ML workloads.

vConstruct , a Pune based Construction Technology company seeks a Senior Data Scientist for their Data Science and Analytics team which is a tight-knit group of Data Scientists and AI Engineers along with Data Analysists and Data Engineers that support all data aspects of DPR business. This team drives up with passion of Transforming this Construction Industry by the use of cutting edge technology enabled with strong AI/ ML Solutions. Here, each and every data point starting from Pre-Construction to Post-Construction process are touch-based to leverage this data for getting predictable outcomes and automating processes for better efficiency. This team helps on various domains of construction such as Scheduling, Planning, Supply Chain, Safety, Quality Control, Site Management, Financials, & Virtual Design Construction in every phase of projects. Gain the opportunity for working over Computer Vision, Predictive, Gen AI & LLM related use cases with variety of tech stack included for implementation. Majorly, MS Azure AI Services, Open AI, CV Libraries and ML for predictive outcomes with Stats as base. Glimpse of Projects: - Creation of GPT for Construction Industry on Construction Data (Unstructured & Structured Data). - Use Computer Vision to help Object Detection on 2D Drawings and 3D BIM Models - Detailed use of Stats frameworks for Predicting Losses on Construction Site Data or to predict win/ loss of opportunities with clients. Predict Quantities required for similar type of sites etc. - Automation AI has deep integration with other groups of Construction Operations to automate our current work processes and make them more efficient using pre-built Models, Azure ML Services or other ML Techniques. Be a part of this vision of Transforming Construction Industry by Use of Technology and play vital role with talented team within vConstruct. If you're interested in contributing to construction technology within the AI/ML space, gaining exposure to the latest technologies, and working directly with end customers, please apply via the link. Key Responsibilities: Think strategically & collaborate with cross-functional teams to identify business use cases and solutionize with scalable technical solutions. Analyze construction project data and develop predictive models using traditional data science methods and Generative AI. Apply machine learning algorithms to improve key processes such as project execution, safety, and risk assessment. Design, Lead & Own scalable end-to-end development of predictive, ML models, from hypothesis generation to deployment and monitoring. Build, validate, and optimize machine learning and statistical models using best-in-class techniques. & QC models developed by Jr. Data Scientists and ML Engg. Work closely with Engineering & business team to understand the data, business terms, processes to create, suggest and implement solutions accordingly. Stay current with advancements in data science and machine learning to help leveraging Companys data. Use statistical techniques to detect anomalies and optimize operational workflows, ensuring projects are delivered on time and within budget Collaborate with product managers and business leaders to drive the implementation of data-driven decisions. Plus to have ability of visualizing insights using BI tools. Qualification: Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or a related -field. 8-10 years of professional experience with atleast 6 years of experience in data science, machine learning, and analytics, with a proven track record of delivering impactful data-driven solutions. Experience working in dynamic, fast-paced environments, with the ability to manage multiple projects simultaneously as well as should be able to do production or work on project personally as required. Proven Experience, Strong business acumen and ability to translate technical insights into actionable business strategies & communicate to stakeholders in business language. Experience working with construction-related data or similar industries (e.g., engineering, manufacturing) is a plus. Technical Skills: Expertise in programming languages such as Python, R, or Scala. Proficiency in machine learning, AI & Statistics frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). Strong experience in predictive analytics, clustering, classification, regression & multi-variate techniques. Hands-on experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib). Familiarity with cloud platforms (AWS, Azure preferably), knowledge about Azure ML Services & Snowflake would be plus one Strong understanding of SQL and working with relational databases. Good to have knowledge of NLP(Natural Language Processing) and Computer Vision. About vConstruct : vConstruct specializes in providing high quality Building Information Modeling and Construction Technology services geared towards construction projects. vConstruct is a wholly owned subsidiary of DPR Construction. VConstruct has 100+ team members working on Software Development, Data Analytics, Data Engineering and AI/ML. We have matured Data Science practice and growing at accelerated pace. For more information, please visit www.vconstruct.com About DPR Construction: DPR Construction is a national commercial general contractor and construction manager specializing in technically challenging and sustainable projects for the advanced technology, biopharmaceutical, corporate office, and higher education and healthcare markets. With the purpose of building great things, great teams, great buildings, great relationshipsDPR is a truly great company. For more information, please visit www.dpr.com

ideyaLabs is seeking a talented and innovative Generative AI Engineers with experience in leveraging Low-Code/No-Code (LCNC) platforms. This unique role will be at the forefront of developing and deploying cutting-edge generative AI models while utilizing LCNC tools to accelerate prototyping, integration, and application development. The ideal candidate will possess a strong understanding of generative AI techniques, proficiency in programming, and a passion for exploring the synergy between AI and rapid application development. Responsibilities: Generative AI Model Development & Deployment: Design, develop, train, and evaluate generative AI models for various applications (e.g., text generation, image synthesis, code generation, synthetic data generation). Implement and optimize generative AI models using relevant frameworks (e.g., TensorFlow, PyTorch, Transformers). Deploy and scale generative AI models on cloud platforms (e.g., AWS, Azure, GCP) or on-premise infrastructure. Stay up-to-date with the latest advancements in generative AI research and techniques. Low-Code/No-Code Platform Utilization: Utilize LCNC platforms (e.g., Zoho Creator, Microsoft Power Apps, OutSystems, Mendix, Quixy) to rapidly prototype and build applications that integrate with generative AI models. Develop user interfaces and workflows using LCNC visual development tools. Connect generative AI APIs and services to LCNC applications. Build and deploy data connectors and integrations between various systems using LCNC capabilities. Integration & Application Development: Design and implement robust APIs and integration strategies to connect generative AI models with other systems and applications. Collaborate with software engineers and data scientists to build end-to-end AI-powered solutions. Develop and maintain documentation for AI models, LCNC applications, and integration processes. Experimentation & Innovation: Research and experiment with new generative AI models, LCNC platforms, and integration techniques. Evaluate the feasibility and potential of applying generative AI to solve specific business problems. Contribute to the development of best practices and guidelines for using generative AI and LCNC tools. Collaboration & Communication: Work closely with cross-functional teams, including product managers, designers, and business stakeholders. Communicate technical findings and progress effectively to both technical and non-technical audiences. Participate in code reviews and knowledge-sharing activities. Qualifications: Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience: 3 + years of experience in developing and deploying machine learning models, with a focus on generative AI. Proven experience working with at least one or more Low-Code/No-Code development platforms (e.g., Zoho Creator, Microsoft Power Apps, OutSystems, Mendix, Quixy). Experience in building and consuming APIs (RESTful, etc.). Technical Skills: Strong programming skills in Python and experience with relevant AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, Transformers). Solid understanding of deep learning concepts and architectures relevant to generative models (e.g., GANs, VAEs, Diffusion Models, Transformers). Experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services. Familiarity with data preprocessing, feature engineering, and model evaluation techniques. Understanding of database concepts and SQL. Proficiency in using visual development tools and integration capabilities of LCNC platforms. Soft Skills: Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Ability to learn quickly and adapt to new technologies. Proactive and self-motivated with a strong sense of ownership. Passion for innovation and exploring the potential of generative AI. Preferred Qualifications: Experience with specific generative AI applications relevant to our industry (e.g., content generation, synthetic data). Familiarity with containerization technologies (e.g., Docker, Kubernetes). Experience with MLOps practices and tools. Certifications in relevant AI/ML or LCNC platforms.

Role & responsibilities Role Summary: We are looking for candidates to build and implement analytics solutions to our esteemed clients. The incumbent should have strong aptitude for numbers, experience in any domain and willingness to learn some cutting edge technologies. Roles & Responsibilities : Understand the requirements from the business and translate it into an appropriate technical requirements. Creating a detailed business analysis, outlining problems, opportunities and solutions for a business. Perform activities related to data wrangling, model building and model deployment. Stay current with the latest research and technology and communicate your knowledge throughout the enterprise. Lead initiatives to improve the team morale, camaraderie, and collaboration Technical Skills: Must Have Skills: Hands-on experience in Data Science, Python/R, PySpark/SparkR Coding and associated state of the art technologies for Exploratory Data Analysis, building predictive models with big data. Familiarity with standard Clustering, Classification, dimensionality reduction and other techniques/Algorithms in Machine learning. Experience in building and implementing ML driven business transformation use cases such as Demand Forecasting, Price/Promo Optimization, etc. Hands-On MS Azure/GCP/AWS Cloud, Databricks/Snowflake, SQL knowledge Scaling ML Models from POC phase. List Azure services required for deployment, Azure Data bricks and Azure DevOps Setup Ability to communicate actionable insights using data, often to a non-technical audience. Ability to drive end-to-end data driven solutions with excellent sense of risk and resource management in any given situation Good knowledge on statistical concepts such as properties of distributions, statistical tests and their proper usage. Analyze and extract relevant information from large amounts data to help in automating the solutions and optimizing key processes. A quick and enthusiastic learner (must) and who is willing to work on new technologies depending on requirement. Other key to have Skills: SQL knowledge and experience working with relational databases. Understanding of any one of domain (Eg: Retail, Supply chain, Logistics, Manufacturing). Understanding of the project lifecycles: waterfall and agile. Soft Skills: Strong verbal and written communication skills with the ability to work well in a team. Strong customer focus, ownership, urgency and drive. Ability to handle multiple, competing priorities in a fast-paced environment. Work well with the team members to maintain high credibility Preferred candidate profile Work Experience: Overall 6 8 of years of experience in Data Analytics, Data Science and Machine Learning. Educational Requirements (any of the following): Bachelor of Engineering/Bachelor of Technology in any stream with consistent academic track record. Bachelor's degree in a quantitative discipline (e.g., Statistics, Economics, Mathematics, Marketing Analytics) or significant relevant coursework with consistent academic track record. Additional Academic Qualification (good to have): Masters in any area related to Science, Mathematics, Statistics, Economy and Finance with consistent academic track record. PhD in any stream. Location: Bangalore, Pune, Hyderabad, Chennai, Trivandrum, Mysore

Role - Senior Data Scientist / Senior Gen AI Engineer Exp Range - 8 to 18 yrs Position - Permanent Fulltime Company - Data Analytics & AIML MNC Location - Hyderabad, Pune, Bangalore (Relocation accepted) About the Role: We are seeking a Software Engineer with expertise in Generative AI and Microsoft technologies to design, develop, and deploy AI-powered solutions using the Microsoft ecosystem. You will work with cross-functional teams to build scalable applications leveraging generative AI models and Azure services. Skills Required: Experience with Large Language Models (LLMs) like GPT, LLaMA, Claude, etc. Proficiency in Python for building and fine-tuning AI/ML models Familiarity with LangChain , LLMOps , or RAG (Retrieval-Augmented Generation) pipelines Experience with Vector Databases (e.g. FAISS, Pinecone, Weaviate) Knowledge of Prompt Engineering and model evaluation techniques Exposure to cloud platforms (Azure, AWS or GCP) for deploying GenAI solutions Preferred Skills: Experience with Azure OpenAI , Databricks or Microsoft Fabric Hands-on with Hugging Face Transformers , OpenAI APIs or custom model training

Job Description: We are seeking a skilled AI Testing Specialist to join our team. The ideal candidate will have experience in testing AI-based applications and systems, with a strong understanding of AI/ML concepts, testing methodologies, and project management skills. Responsibilities: Collaborate with the AI test team to plan and execute test plans, test cases, and test scenarios for AI systems. Implement quality assurance standards to ensure the accuracy, reliability, and performance of AI solutions. Design and implement benchmarking tests to evaluate AI system performance against industry standards and competitors. Develop, execute, maintain, and enhance automated test frameworks and scripts dedicated to AI component testing. Accurately report and track defects and issues related to AI testing, including writing detailed bug reports and verifying fixes in collaboration with the development team Analyze benchmarking results to identify strengths, weaknesses, and areas for improvement in AI algorithms and models Expand knowledge in testing deep learning algorithms and model families. Required Skills Proficiency in Python and related packages for image processing, data processing, and automation testing. Familiarity with machine/deep learning frameworks like TensorFlow, Keras, or PyTorch. Understanding of Software Development Life Cycle (SDLC) and Software Testing Life Cycle (STLC), with a focus on AI-specific testing phases and activities. Experience in testing AI-driven applications across diverse platforms. Experience in API testing using tools like Postman. Knowledge of tools like Neptune, Weights and Biases, PyTorch Ignite, TensorFlow Model Analysis (TFMA), and DeepDetect. Qualification: Bachelor s or Master s degree in Computer Science, Data Science, Machine Learning, or related fields. 1-3 years of experience in AI testing, deep learning, or quality assurance. ISTQB Certified Tester. ISTQB Certified AI Tester. Preferred Qualifications: Proficiency in machine learning pipelines and Continuous Integration/Continuous Deployment (CI/CD) pipelines tailored for AI development and testing workflows. Knowledge of advanced image processing algorithms. Experience with cloud computing platforms such as AWS or Azure, particularly in the context of testing AI solutions in cloud environments. Strong statistical analysis skills to evaluate model performance, validate results, and identify potential issues during AI testing.

The Associate Software Team Lead is pivotal in steering a group of talented software engineers towards the successful execution of R&D projects. This role involves a blend of technical expertise and leadership skills tmanage the development lifecycle, mentor team members, and ensure that software deliverables are innovative, robust, and align with customer expectations. The Associate Team Lead acts as a bridge between the engineering team and senior management, translating business objectives inttechnical strategies, fostering a culture of continuous improvement, and maintaining a focus on both short-term milestones and long-term goals. Qualification: Relevant industry certifications (Azure/AWS certified professional) Bachelor s degree in computer science / engineering, or equivalent work experience. Software Engineer level of experience with exceptional Real-Time skills and enthusiasm Proven ability tself-manage and structure work, this must be demonstrated through clear examples in your application Product / Technical : Degree in Computer Science or Engineering or Equivalent with 10+ years of relevant experience working with C/C++, C#, PHP. Must have 6+ years of Linux C++ / C developer. Must have 6+ years of Windows C/ C#/.NET, Dependency Injection Experience with Service Bus, Test Driven development Must have strong background in muti-process / multi-threaded application design. Must be proficient in Linux (currently using EL9) - Development, Bash shell. Must have strong background using and/or implementing SIP, RTP, or other voice protocols. Working knowledge of Asterisk/FreeSwitch Experience with Machine Learning technologies, NLP, Python libraries (Pandas, Keras, TensorFlow etc.) Good understanding of Python libraries for machine learning, Computer vision, Speech Analytics and Deep Learning tools & techniques Working experience of Cloud (preferably AWS) is an added advantage. Working experience of Cloud (OKD / OpenShift preferred) development Working knowledge of Cloud tools such as Kubernetes, and CI/CD tools such as Harness and/or Jenkins. Working knowledge of Monitoring Tools such as Datadog and/or OpsGenie. Experience working JIRA and in an Agile team. Knowledge of front end technologies (React Js , Node Js, Java script) Working knowledge on Application Security/Vulnerability tools like Black Duck, Coverity / App Scan etc. Experience with API / RESTful data services Experience using Postgres and SQL Server database technologies. Knowledge of VXML & IVR technologies/solutions. Experience of voice & viderecording platforms is advantageous Good understanding of Computer Vision, Speech Analytics and Deep Learning tools & techniques Core Tasks: Lead and support the VASR and Fonolproduct development and maintenance, ensuring global customer success. Initial ramp up is expected tbe based on small product issue resolution building tnew feature development. Once team established and product knowledge at required level, lead the development and implementation of software projects from conception tdeployment. Provide technical expertise and guidance in software design, coding standards, and system integration. Participate in technical requirements though tdelivery Estimates take intconsideration all aspects of solution and are relatively accurate. Tasks and Defects are addressed proactively. Quality gates are met for deliverables. Champion agile development methodology within the development organization. Ensure customer success when called upon tassist in complex issues. Mentor Associate and Graduate Engineers. Ensure the quality and reliability of software through rigorous testing and code reviews. Encourage innovation and the exploration of new technologies tenhance product capabilities. Troubleshoot and resolve complex technical issues that arise during the development process. Manage the allocation of resources, including personnel and technology, toptimize productivity. Establish and monitor performance metrics tevaluate the success of software projects

Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions. Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options 3. Team Management a. Talent Management i. Support on boarding and training to enhance capability & effectiveness Deliver No. Performance Parameter Measure 1. Demand generation # PoC supported 2. Revenue generation through delivery Timeliness, customer success stories, customer use cases 3. Capability Building & Team Management # Skills acquired Mandatory Skills: Data Analysis. Experience3-5 Years.

Role Purpose The purpose of the role is to lead various automation initiatives pertaining to strategic accounts in a BU ensuring better client engagement Do 1. Lead automation roadmaps and strategies for various BUs Ensure complete understanding of requirements needed to implement automation of various accounts in BUs Do shortlisting of accounts depending upon the size of account and their ability to accommodate maturity Drive automation maturity in the shortlisted accounts to the next level Align the customers by showcasing Wipro’s capability to drive automation and ROI achievement for the customer Ensure contractual commitments for a particular project are met by understanding the scope and requirements Ensure the desired software and infrastructures are implemented required for automation Ensure scalable standards of dashboard and process support system for active automation monitoring Develop and review the Account Automation Plans for each account in consultation with the account partners and delivery teams Review the automation projects on progress and resolves complex escalations related to operations, production, quality control, schedules and maintenance Come up with solution of the problems regarding automation persistent in development unit Manage the appropriate level of access control to protect export controlled, proprietary, and sensitive project information Periodically review the project status completion vis-a vis the project plan and ensure successful roll out Review the upcoming automation trends, technologies and ways of working and identify the capability gap within the team Responsible to maintain customer relationships and derive maximum customer references to ensure business continuity Receive feedback from the customers and align resources internally to close all the gaps Deliver No. Performance Parameter Measure 1. Client Engagement CSAT, Customer reference, Customer Solutions, mean time to resolve customer issues (MMT reducing trend) 2. BOT implementation Work done by the bots for platform/non platform accounts, No. of platform accounts per DU Mandatory Skills: AI ML Ops Infrastructure. Experience5-8 Years.

Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Collaborate with sales, pre-sales &consulting team to assist in creating solutions and propositions for proactive demand generation ii. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for recruitment, joint research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options c. Integrate model performance management tools into the current business infrastructure 3. Team Management a. Resourcing i. Support recruitment process to on-board right resources for the team b. Talent Management i. Support on boarding and training for the team members to enhance capability & effectiveness ii. Manage team attrition c. Performance Management i. Conduct timely performance reviews and provide constructive feedback to own direct reports ii. Be a role model to team for five habits iii. Ensure that the Performance Nxt is followed for the entire team d. Employee Satisfaction and Engagement i. Lead and drive engagement initiatives for the team Deliver No. Performance Parameter Measure 1. Demand generation Order booking 2. Revenue generation through delivery Timeliness, customer success stories, customer use cases 3. Capability Building & Team Management % trained on new skills, Team attrition % Mandatory Skills: Data Science. Experience8-10 Years.

Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions. Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options 3. Team Management a. Talent Management i. Support on boarding and training to enhance capability & effectiveness Deliver No. Performance Parameter Measure 1. Demand generation # PoC supported 2. Revenue generation through delivery Timeliness, customer success stories, customer use cases 3. Capability Building & Team Management # Skills acquired Mandatory Skills: Data Analysis. Experience3-5 Years.