5485 Deep Learning Jobs - Page 41

Job Description: Vice President AI Strategy & Transformation Location: Gurugram Snapshot of Ideal Candidate Experienced : 1012+ years of building and leading AI strategies and solutions in corporate/shared services environments. Qualified : Strong engineering background (Computer Science / Mathematics / related), MBA or advanced degree preferred. Certified : Additional credibility with AI/ML certifications and project/process management credentials (PMP, Lean, etc.). Balanced : Equal strength in strategic vision, technical depth, and leadership execution . Roles & Responsibilities: Strategic Leadership Define and execute the enterprise-wide AI/GenAI strategy and roadmap for corporate and support functions. Align AI initiatives with organizational transformation priorities to deliver tangible business outcomes. Team Building & Talent Development Build, mentor, and lead a high-performing AI team, fostering innovation, technical excellence, and continuous learning. Provide professional development, performance feedback, and career growth opportunities for team members. Solution Design & Project Delivery Oversee the design, development, and deployment of secure, scalable AI solutions across HR, Finance, IT, Administration, and other functions. Lead complex, cross-functional projects with accountability for timelines, budgets, and outcomes. Drive Agile and DevOps practices to ensure faster and reliable delivery. Stakeholder Management & Change Enablement Collaborate with transformation leaders, BU heads, functional heads, and business owners to drive adoption of AI. Develop and execute communication and change management plans, ensuring transparency and stakeholder alignment. Act as a strategic advisor and challenger to continuously enhance operational effectiveness across the organization. Governance, Risk & Compliance Uphold compliance with risk protocols, data privacy regulations (GDPR, CCPA, etc.), and industry standards. Implement robust data security practices to protect sensitive organizational information. Performance & Continuous Improvement Define and track KPIs to quantify benefits delivered by AI initiatives. Conduct post-implementation reviews, ensuring solutions deliver sustainable value. Promote and embed a culture of continuous learning, experimentation, and adaptability. Capability Building & Innovation Upskill transformation and functional teams on AI, no-code/low-code automation, and modular AI solutions. Establish a network of AI champions/evangelists across the organization to accelerate adoption. Stay ahead of emerging AI/GenAI trends, technologies, and best practices to ensure innovation remains a competitive advantage. Educational Qualifications: Bachelor's degree in Computer Science, Mathematics, or Computing Engineering from a reputed institute. Master's degree or MBA preferred. Advanced certifications in AI/ML/Data Science highly desirable. Certifications in Project Management (PMP, PRINCE2) and Process Improvement (Lean, Six Sigma) are a plus.

Role & responsibilities 1.Programming Languages 2.Machine Learning & Deep Learning 3.Natural Language Processing (NLP) 5. Data Engineering & Analytics 6.AI Model Deployment

Experience: 10+ years Key Skills: Artificial Intelligence, Generative AI, Traditional AI What will your role look like Design AI solutions using both traditional ML and GenAI approaches based on problem needs Lead end-to-end implementation of ML projects including data preparation, model development, deployment, and monitoring Build GenAI-based applications using LLMs, embeddings, and multi-step reasoning frameworks (e.g., LangChain, LangGraph) Conduct research and proof-of-concepts to evaluate emerging GenAI models and techniques Guide and mentor junior engineers; review designs, architecture, and code quality Develop fine-tuned and instruction-tuned LLMs using platforms like Hugging Face, OpenAI, Cohere, etc. Build agentic AI systems involving tool use, memory, and reasoning frameworks Ensure AI models are robust, explainable, and cost-efficient in production Collaborate with stakeholders to understand business goals and translate them into technical solutions Communicate complex AI concepts to both technical and non-technical audiences. This is a strategic role where you will play a key part in shaping our AI offerings, guiding teams, and solving complex problems using both modern and established AI techniques. Why you will love this role Besides a competitive package, an open workspace full of smart and pragmatic team members, with ever-growing opportunities for professional and personal growth Be a part of a learning culture where teamwork and collaboration are encouraged, diversity is valued and excellence, compassion, openness and ownership is rewarded. We would like you to bring along Experienced AI/ML Engineer with a strong background in both traditional Machine Learning and Generative AI. Experience in classical AI/ML and 2-3 years in GenAI, total 10 years of experience with the ability to design, research, and build scalable AI solutions across domains. 6-7 years in traditional ML/DL, including regression, classification, clustering, NLP, time series forecasting, and deep learning techniques such as feedforward networks, CNNs, RNNs, LSTMs, GRUs, and attention-based models for structured, unstructured, and sequential data 2-3 years in Generative AI (LLMs, embeddings, RAG, fine-tuning, prompt engineering) Experience with Python, scikit-learn, TensorFlow, PyTorch, and Hugging Face Transformers Understanding of ML lifecycle: data wrangling, feature engineering, model training, evaluation, and deployment Deep experience with LLMs such as GPT, LLaMA, Mistral, Claude, or Gemini and tools like LangChain, LangGraph, and LLamaIndex Experience building agentic AI solutions (e.g., AutoGPT, ReAct, CrewAI, BabyAGI) Proficiency with vector databases (FAISS, Pinecone, Weaviate, Chroma) and embedding models (OpenAI, Cohere, BGE, etc.) Excellent communication and presentation skills Strong research mindset with the ability to quickly learn and adapt to new GenAI technologies Ability to assess trade-offs between classic and generative AI techniques and recommend the best-fit approach

Job Title Senior Manager Business Unit Demand Planning, Supply Chain Location: Sun House, Mumbai At Sun Pharma, we commit to helping you ?Create your own sunshine?? by fostering an environment where you grow at every step, take charge of your journey, and thrive in a supportive community, Are You Ready to Create Your Own Sunshine As you enter the Sun Pharma world, youll find yourself becoming ?Better every daythrough continuous progress Exhibit self-drive as you ?Take chargeand lead with confidence Additionally, demonstrate a collaborative spirit, knowing that we ?Thrive togetherand support each others journeys ? Key Responsibilities The (Sr ) Manager Supply Chain Management will be responsible for demand planning, supply planning, materials management, including inventory of all raw materials, reagents, work in progress, and finished goods, order management, and inventory management of branded products This role is also responsible for estimating the actual cost of goods of the branded products Ensure that all the MSAs are managed with the CDMOs, Major Duties/Responsibilities Responsible for demand and supply planning for Biologics Responsible for materials management, including inventory of all raw materials, reagents, work in progress, and finished goods of branded products Ensure the minimization of wastage of raw materials, reagents, and short dating of finished goods Responsible for estimating the actual cost of goods of the branded products and reconciliation as required annually Responsible for order management at the external manufacturers, testing labs, and other partners, and also invoicing partners for materials supplied, incl reagents, finished goods, and others, Responsible for tracking that invoices are processed and payments are made and received on time Annual rebates with CDMOs are secured where applicable, Responsible for managing all CDAs, MSAs that are valid and managed Direct, optimize, and coordinate the full order cycle Maintain KPI metrics from the material management and PO/ invoice perspectives and analyse the data for improvement Comply with company policies, local laws, and local regulations as required The candidate will communicate across the organization to ensure key stakeholders are aware of CoGs, inventory, potential risks associated with them, and required mitigation plans, Able to supervise, coach, and train the warehouse workforce at the partners Other duties as assigned Professional Experience Proven working experience in Demand and Supply Planning, preferably in the pharmaceutical industry Proven track record in material management, order management, and inventory management Demonstrated ability to lead and perform supply chain management, specifically material management Expertise in standard ERP software like SAP and relevant systems Excellent analytical, problem-solving, and organizational skills Ability to work independently and handle multiple projects Think strategically to assess and improve processes to meet business needs globally, Ability to analyze complex issues; develop and implement solutions by collaborating with other teams, both internal and external, Ability to influence and negotiate with both internal and external stakeholders, Skills & Abilities Excellent interpersonal communication and presentation skills Excellent planning, organizational, and project management skills Agile and able to work with tight time lines Ability to thrive in a small group with limited administrative support, developing and maintaining collaborative internal and external relationships Job Requirements Educational Qualification Bachelor's of Engineering (any stream), Master's in Supply Chain Management (preferred, not mandatory) Experience 5-10 years Your Success Matters to Us At Sun Pharma, your success and well-being are our top priorities! We provide robust benefits and opportunities to foster personal and professional growth Join us at Sun Pharma, where every day is an opportunity to grow, collaborate, and make a lasting impact Lets create a brighter future together! Disclaimer: The preceding job description has been designed to indicate the general nature and level of work performed by employee within this classification It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees as assigned to this job Nothing herein shall preclude the employer from changing these duties from time to time and assigning comparable duties or other duties commensurate with the experience and background of incumbent(s),

Job Responsibilities Research and Implement cutting edge techniques(Fine tuning, RLHF) in aligning Generative models to specific problem domains, Build the necessary tooling for data acquisition, data cleaning, data augmentation, model training and visualization, Evaluate and Implement the ML/Deep learning/GenAI models Optimize models for production usage and help productize the generation scenarios to a production setting, Required Qualifications, Capabilities, And Skills Masters or relevant degree in Data Science, 4+ years industry experience working as a Data Scientist on large-scale data science projects, with a proven track record of delivering business value, Proficiency in Python or R Expertise in statistical concepts and experience with traditional ML libraries such as scikit-learn, stats models and pandas Experience in optimization and scaling of ML solutions for real world business use cases, Extensive experience with developing and serving large scale Deep learning models across different data domains, Proficiency with at least one deep learning library (Pytorch, Tensorflow or Keras) with building and deploying DNN models in production, Expertise in NLP, Transformers, Large Language Models, hugging face library Optimizations around LLM training and serving, Experience with production operations and good practices for putting quality code in production and troubleshoot issues when they arise Take initiative and be responsible for delivering complex software by working effectively with the team and other stakeholders Can easily communicate technical ideas verbally and in writing (technical proposals, design specs, architecture diagrams and presentations) Preferred Qualifications Masters degree in Data Science/ML/AI Certification in cloud platforms such as AWS, GCP, and/or Azure,

Perform statistical analysis and predictive modeling Build and deploy ML algorithms Collaborate with stakeholders for insights

NLP & LLM Specialis (Immediate Joiners only)- transformer-based models (GPT, BERT, T5, RoBERTa) and NLP tasks(focus on text gen, summarization, ques ans, classification) Python NLP Libraries (Hugging Face, SpaCy, NLTK) CoT Prompt engg Prompt Template Required Candidate profile fine-tuning pre-trained models Model Expertise Prompt Engineering Instruction-Based Prompting Zero-shot, Few-shot, Many-shot Learning Model Deployment CoT Model Evaluation Bias Awareness Collaboration

We are looking for a data scientist who will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to p roduce actionable insights and compelling visualizations, define data requirements, while identifying and mitigating risks and governing AI applications. Department Engineering Software & QA Skills Required Data Science, AI, ML Key Responsibilities: Develop solutions related to machine learning, natural language processing and deep learning & Generative AI to address business needs. Your primary focus will be in applying Language/Vision techniques, developing llm based applications and building high quality prediction systems. Analyze Data: Collaborate with cross-functional teams to understand data requirements and identify relevant data sources. Analyze and preprocess data to extract valuable insights and ensure data quality. Evaluation and Optimization: Evaluate model performance using appropriate metrics and iterate on solutions to enhance performance and accuracy. Continuously optimize algorithms and models to adapt to evolving business requirements. Documentation and Reporting: Document methodologies, findings, and outcomes in clear and concise reports. Communicate results effectively to technical and non-technical stakeholders. Qualifications: Experience with Open Source LLM and Langchain Framework and and designing efficient prompt for LLMs. Proven ability with NLP and text-based extraction techniques. Experience in Generative AI technologies, such as diffusion and/or language models. Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. Familiarity with cloud computing platforms such as GCP or AWS. Experience to deploy and monitor model in cloud. environment. Experience with common data science toolkits, such as NumPy, Pandas etc. Proficiency in using query languages such as SQL. Good applied statistics skills, such as distributions, statistical testing, regression, etc. Experience working with large data sets along with data modeling , language development, and database technologies. Knowledge in Machine Learning and Deep Learning frameworks (e.g., TensorFlow, Keras , Scikit-Learn, CNTK, or PyTorch ), NLP, Recommender systems, personalization, Segmentation, microservices architecture and API development. Ability to adapt to a fast-paced, dynamic work environment and learn new technologies quickly. Excellent verbal and written communication skills If you are passionate about data scientist and want to contribute to an innovative and dynamic team, we encourage you to apply!

Deliver training on Data Science, ML, AI & Analytics using Python, SQL, Excel, Power BI. Design course content & projects. Mentor learners. Prior experience in teaching/training required. Strong communication & technical skills essential. Required Candidate profile 4+ years of experience in Data Science or Analytics. Proficient in Python, SQL, Excel, Power BI, ML/AI. Prior training or teaching experience preferred. Certifications in Data Science/AI are a plus.

Locat ion: (Bangalore -work from office)-Hybrid Time 9:30AM 6:30PM IST Key Responsibilities: Build scalable, fault-tolerant cloud-native services on Microsoft Azure, ensuring high performance and reliability. Develop secure, well-documented public APIs and SDKs for consumption by internal and external developers. Collaborate with cross-functional teams to deliver end-to-end solutions across data pipelines, orchestration, and service APIs. Embed robust security controls to protect sensitive data and ensure secure access to AI services. Contribute to design reviews, code reviews, and architectural discussions to ensure engineering excellence. Mentor junior developers, encourage continuous learning, and contribute to a culture of innovation. Work with multiple teams to create AI solutions, which include AI model deployment, training, and AI tooling development. AI & Cloud Expertise Experience working with Large Language Models (LLMs) and understanding of trade-offs between performance, cost, and capability. Understanding of Retrieval-Augmented Generation (RAG), agent orchestration, prompt engineering, and tool calling. Familiarity with AI standards such as Model Context Protocol (MCP) and Agent2Agent (A2A). Strong knowledge or experience in working with various ML algorithms (regression, classification, clustering, deep learning) Knowledge of AI ethics and regulations (e.g., NIST AI RMF, EU AI Act), and commitment to responsible AI development. Fluent in developing code using AI Tools such as GitHub Copilot. Must be able to use prompt engineering to carry out multiple development tasks. Familiar with AI orchestration, including tools like AI Foundry and/or Semantic Kernel. Experience with tools for automated testing and evaluation of AI outputs is a plus. Experience in Python and AI frameworks / ools such as PyTorch and TensorFlow. Demonstrated experience with AI frameworks, tools and Python Experience : 10+ Years

Role & responsibilities : Job description Role & responsibilities We are seeking a skilled AI/ML Engineer proficient in Python to join our dynamicteam. In this role, you will collaborate with cross-functional teams to design, develop, and deploy machine learning models and AI systems. You will be responsible for implementing algorithms and workflows that enable our organization to leverage data for insightful decision-making and innovative product solutions. Key Responsibilities:- Develop machine learning models and algorithms using Python and relevant libraries (e.g., Tensor Flow, PyTorch, sci-kit-learn). Min 6 months of experience in Gen AI and Proficiency in could technologies such as AWS, GCP or azure. Collaborate with data engineers to design and implement data pipelines for efficient data processing, analysis, and model training. Apply machine learning techniques to solve complex business problems and optimize existing processes. Evaluate and benchmark different machine learning models to determine optimal solutions. Work closely with product managers and stakeholders to understand business requirements and translate them into technical solutions. Implement scalable and reliable machine learning infrastructure andproductionize models. Stay updated with the latest developments in AI/ML research and apply them to improve our systems continuously. Participate in code reviews, knowledge sharing, and contribute to the overall growth of the AI/ML team.

Perform statistical analysis and predictive modeling Build and deploy ML algorithms Collaborate with stakeholders for insights

Perform statistical analysis and predictive modeling Build and deploy ML algorithms Collaborate with stakeholders for insights

Perform statistical analysis and predictive modeling Build and deploy ML algorithms Collaborate with stakeholders for insights

Perform statistical analysis and predictive modeling Build and deploy ML algorithms Collaborate with stakeholders for insights

Perform statistical analysis and predictive modeling Build and deploy ML algorithms Collaborate with stakeholders for insights

Perform statistical analysis and predictive modeling Build and deploy ML algorithms Collaborate with stakeholders for insights

Perform statistical analysis and predictive modeling Build and deploy ML algorithms Collaborate with stakeholders for insights

Perform statistical analysis and predictive modeling Build and deploy ML algorithms Collaborate with stakeholders for insights

Perform statistical analysis and predictive modeling Build and deploy ML algorithms Collaborate with stakeholders for insights

Perform statistical analysis and predictive modeling Build and deploy ML algorithms Collaborate with stakeholders for insights

Perform statistical analysis and predictive modeling Build and deploy ML algorithms Collaborate with stakeholders for insights

Perform statistical analysis and predictive modeling Build and deploy ML algorithms Collaborate with stakeholders for insights

Perform statistical analysis and predictive modeling Build and deploy ML algorithms Collaborate with stakeholders for insights

Perform statistical analysis and predictive modeling Build and deploy ML algorithms Collaborate with stakeholders for insights