5480 Deep Learning Jobs - Page 6

About The Role Skill required: Delivery - HR Analytics Designation: I&F Decision Sci Practitioner Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years What would you do? Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.Data & AI A set of tasks to provide insights about the effectiveness of HR processes, procedures and policies, help make data-driven decisions based on the information collected and help HR to move from operational to tactical or strategic partner. What are we looking for? HR Analytics Text Analytics Python Adaptable and flexible Ability to work well in a team Commitment to quality Agility for quick learning Prioritization of workload Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems May create new solutions, leveraging and, where needed, adapting existing methods and procedures The person would require understanding of the strategic direction set by senior management as it relates to team goals May interact with peers and/or management levels at a client and/or within Accenture Guidance would be provided when determining methods and procedures on new assignments Decisions made by you will often impact the team Primary upward interaction is with direct supervisor Qualification Any Graduation

About The Role Project Role : Cloud Platform Engineer Project Role Description : Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance. Must have skills : Commvault Backup Administration Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Platform Engineer, you will engage in the design, construction, testing, and deployment of cloud application solutions that seamlessly integrate both cloud and non-cloud infrastructures. Your typical day will involve collaborating with cross-functional teams to ensure the architecture's viability, security, and performance while also creating proof of concepts to validate design choices and operational efficiency. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the development of best practices for cloud application deployment and management.- Support the team in troubleshooting and resolving technical issues related to cloud infrastructure. Professional & Technical Skills: - Must To Have Skills: Proficiency in Commvault Backup Administration.- Good To Have Skills: Experience with cloud service providers such as AWS, Azure, or Google Cloud Platform.- Strong understanding of cloud architecture and deployment models.- Familiarity with infrastructure as code tools like Terraform or CloudFormation.- Experience in scripting languages such as Python or PowerShell for automation. Additional Information:- The candidate should have minimum 3 years of experience in Commvault Backup Administration.- This position is based at our Gurugram office.- A 15 years full time education is required. Qualification 15 years full time education

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation. Mandatory Key Skillsmachine learning,artificial intelligence,data science,mentoring,python,deep learning,natural language processing,sql,neural networks,predictive modeling,r,teaching,computer vision,data analytics,predictive analytics,training,tableau,data analysis,AI research*

Job Title: Data Scientist / AI-ML Engineer (AI Agents & Machine Learning) Experience: 2+ Years Location: Bangalore About the Role: We are looking for a passionate and highly skilled AI/ML Developer / Data Scientist with proven experience in designing, building, and deploying intelligent systems using cutting-edge AI technologies. The ideal candidate will have hands-on expertise in Large Language Models (LLMs), Machine Learning, Deep Learning, Prompt Engineering, Vector Databases, and Agent Frameworks. This role spans the entire AI/ML lifecycle from ideation and architecture to deployment and optimization with a strong emphasis on RAG pipelines, NLP, chatbot frameworks, and proof-of-concept (POC) development. Youll be working at the forefront of Generative AI, LLMs, Computer Vision, and Vector Database-powered RAG systems to create next-generation intelligent applications. Key Responsibilities Design, develop, fine-tune, and deploy end-to-end AI/ML solutions. Work with both closed-source LLMs (OpenAI GPT, Claude, Gemini) and open-source models (BERT, LLaMA, Mistral, Gemma). Architect and implement RAG pipelines using LangChain, LangGraph, CrewAI, and LlamaIndex. Build and integrate AI agents, Agentic AI workflows, and chatbots for real-world applications. Utilize Vector Databases (FAISS, Milvus, Qdrant, Weaviate, pgvector, ChromaDB) for semantic search and retrieval. Apply prompt engineering and few-shot learning to optimize model outputs. Develop computer vision solutions using YOLO and OpenCV for object detection, tracking, and video/image analytics. Create scalable APIs and backends with FastAPI or Flask. Perform EDA, data visualization, and ensure model explainability. Deploy and manage AI/ML models on AWS, Azure, or GCP. Rapidly deliver POCs and collaborate with cross-functional teams to validate solutions. Maintain version-controlled, reproducible ML pipelines. Must-Have Skills Programming & Frameworks: Python, FastAPI GenAI & LLMs: GPT, Claude, Gemini, BERT, LLaMA, Mistral, Gemma, HuggingFace Transformers Frameworks: LangChain, LangGraph, CrewAI, LlamaIndex Vector Databases: FAISS, Milvus, Qdrant, Weaviate, pgvector, ChromaDB Computer Vision: OpenCV, YOLO object detection NLP & RAG: Text classification, summarization, NER, prompt design, RAG pipelines Model Lifecycle: Design, training, quantization, fine-tuning, deployment Cloud: AWS, Azure, GCP Databases: SQLite, PostgreSQL, MySQL, MongoDB (optional) Visualization Tools: Matplotlib, Seaborn, Plotly, Streamlit OS & Tools: Linux (CLI, scripting), Docker (optional), HuggingFace, chatbot platforms Nice-to-Have Contributions to open-source or GitHub projects Experience with multi-modal LLMs Strong background in statistics or academic research Familiarity with startup-style POC pipelines and rapid experimentation Educational Qualification: B.Tech, M.Tech, MCA, BCA, or Bachelors/Masters degree in Computer Science, Data Science, AI/ML, or a related field.

***ONLY FOR IMMEDIATE JOINERS*** Role: AI Data Scientist Location: Gurugram / Bangalore Experience: 4+ Years Job Summary: Seeking an experienced AI/Data Scientist with 4+ years in building ML/DL solutions and deploying LLM-integrated systems. The role requires strong Python skills and a solid foundation in traditional ML, deep learning, and modern AI architectures including RAG, vector databases, and prompt engineering. Key Responsibilities: Data preprocessing, feature engineering, and model development using Python (Pandas, NumPy) Build and optimize machine learning models (supervised/unsupervised, regularization, decision trees, random forests) Design and train deep learning models (neural networks, CNNs) using backpropagation and advanced activation functions Evaluate models using appropriate metrics (accuracy, precision, recall, F1, ROC-AUC) Communicate AI/ML project insights and results effectively across teams Develop LLM-based applications using Retrieval-Augmented Generation (RAG) and vector databases Implement agentic AI systems and advanced prompt engineering for task automation Fine-tune LLMs and manage context windows for efficient large-scale inference Key Skills: Python (Pandas, NumPy) for scalable data analysis and manipulation Data Preprocessing & Feature Engineering for model optimization Machine Learning : Supervised/Unsupervised learning, regularization, decision trees, random forests Deep Learning : Neural networks, CNNs, backpropagation, activation functions Model Evaluation & Metrics : Performance tuning using standard ML metrics AI/ML Project Articulation : Clear communication of technical outcomes to cross-functional teams Retrieval-Augmented Generation (RAG) & Vector Databases for contextual LLM integration Agentic AI & Prompt Engineering to design dynamic, intelligent workflows LLM Processing : Managing context windows, fine-tuning, and task-specific adaptation

Position: Digital Innovation & Studio Lead Location: India (Bangalore / Noida / Mumbai) Employment Type: Full-Time About Us Icon is a fast-growing leader in AI, Data, and Digital Transformation. We partner with clients across industries to reimagine their businesses using cloud, AI, automation, and design-led innovation. We are now setting up a Digital Innovation Studio in India to co-create next-generation solutions with our clients. Role Overview We are seeking a Digital Innovation & Studio Lead with 67 years of experience in digital consulting, product innovation, or technology-led transformation. This role is ideal for professionals who thrive at the intersection of design, technology, and business strategy, and who want to play a visible role in shaping innovation programs for global clients. Key Responsibilities Contribute to the setup and growth of the Digital Innovation Studio in India. Run design sprints, ideation workshops, and rapid prototyping sessions with client teams. Collaborate with designers, engineers, and data/AI experts to deliver innovation projects. Support clients in defining digital roadmaps and innovation strategies. Track emerging technologies and apply them to real-world client challenges. Mentor junior colleagues and help foster a culture of creativity and experimentation. Qualifications & Experience 67 years of experience in digital innovation, consulting, or technology delivery. Familiarity with design thinking, customer experience, and digital strategy. Exposure to AI, cloud platforms, or automation will be an added advantage. Strong stakeholder management and client-facing skills. Excellent communication, facilitation, and problem-solving ability. Bachelor’s degree in Technology/Business; MBA or certifications in design/innovation preferred. What We Offer Opportunity to lead and scale an innovation studio in India. Work on cutting-edge AI and digital transformation programs. Collaborative environment with exposure to global clients and ecosystems. Competitive compensation, benefits, and career growth opportunities.

Role: Gen AI Engineer (back-end software development role with a specialization in ML/DL and Generative AI) Company - Supply Chain Management Consulting firm Experience: Candidates must have 5+ years in ML/DL, with a minimum of 2 years specifically in Generative AI solution development. Location: Bangalore (Innovator - ITPL, The HIVE - Mahadevapura, Helios - Kadubeesanahalli) Work Mode: Hybrid - 5 days a week Budget: A maximum of a 30% hike on the candidate's current fixed CTC. Counteroffers will not be provided. Looking for immediate joiners. We are hiring for Gen AI Engineer/Hybrid/Bangalore. We need Python, PyTorch, TensorFlow, LLM, Docker (Mandatory) & IMMEDIATE joiners Gen AI Engineer - Python , PyTorch, TensorFlow, LLM, Docker, Kubernetes, CI/CD pipelines Requirements Education: Bachelors/masters in computer science, Data Science, AI/ML, or a related field. Experience: 5+ years in ML/DL, with minimum 2 years in Generative AI solution development. Expertise with Python and ML/DL libraries (PyTorch, TensorFlow, JAX). Strong knowledge of LLM training/fine-tuning techniques: LoRA, QLoRA, PEFT, instruction tuning. Proficiency in prompt engineering and evaluation of model outputs. Hands-on with vector databases and indexing pipelines for semantic search. Familiar with containerization and deployment tools (Docker, Kubernetes, Helm). Exposure to CI/CD pipelines for AI solutions and cloud-native patterns

The impact youll make Enable rapid, responsible releases by coding evaluation pipelines that surface safety issues before models reach production. Drive operational excellence through reliable, secure, and observable systems that safety analysts and customers trust. Advance industry standards by contributing to bestpractice libraries, opensource projects, and internal frameworks for testing alignment, robustness, and interpretability. What youll do Design & implement safety toolingfrom automated adversarial test harnesses to driftmonitoring dashboardsusing Python, PyTorch/TensorFlow, and modern cloud services. Collaborate across disciplines with fellow engineers, data scientists, and product managers to translate customer requirements into clear, iterative technical solutions. Own quality endtoend: write unit/integration tests, automate CI/CD, and monitor production metrics to ensure reliability and performance. Containerize and deploy services using Docker and Kubernetes, following infrastructureascode principles (Terraform/CDK). Continuously learn new evaluation techniques, model architectures, and security practices; share knowledge through code reviews and technical talks. Experiences youll bring 3+ years of professional software engineering experience, ideally with dataintensive or MLadjacent systems. Demonstrated success shipping production code that supports highavailability services or platforms. Experience working in an agile, collaborative environment, delivering incremental value in short cycles. Technical skills you'll need Languages & ML frameworks: Strong Python plus handson experience with PyTorch or TensorFlow (bonus points for JAX and LLM finetuning). Cloud & DevOps: Comfortable deploying containerized services (Docker, Kubernetes) on AWS, GCP, or Azure; infrastructureascode with Terraform or CDK. MLOps & experimentation: Familiar with tools such as MLflow, Weights & Biases, or SageMaker Experiments for tracking runs and managing models. Data & APIs: Solid SQL, exposure to at least one NoSQL store, and experience designing or consuming RESTful APIs. Security mindset: Awareness of secure coding and compliance practices (e.g., SOC 2, ISO 27001). Nice to have: LangChain/LangGraph, distributed processing (Spark/Flink), or prior contributions to opensource ML safety projects. Why youll love this role Enjoy the freedom to work from anywhere your productivity, your environment Purpose-driven work: Contribute meaningfully to a safer AI future while enabling groundbreaking innovation. Strategic visibility: Directly impact high-profile AI safety initiatives with industry-leading customers. Growth opportunities: Collaborate with top-tier AI talent and help shape an emerging industry. Supportive culture: Enjoy competitive compensation, flexible work arrangements, and significant investment in your professional and personal growth. Location - Chennai,Gurugram,Hyderabad,Indore,Mohali,Mumbai,Noida

Senior Data Scientist Machine Learning & Generative AI Location: Hyderabad | Company: DataBeat.io Experience: 6 + Years | Employment Type: Full-Time Immediate Joiners Preferred ( We are Looking for Immediate Joiners ) About DataBeat.io At DataBeat.io , we are a global data and analytics services company empowering organizations with cutting-edge big data solutions, machine learning, and operational analytics. We partner with forward-thinking enterprises to deliver impactful, scalable, and innovative data solutions using the latest technologies and platforms. As part of our fast-growing and dynamic team, you'll be at the forefront of the data revolutionworking on high-impact projects involving emerging technologies like Large Language Models (LLMs) and Generative AI , for clients that are shaping the future of tech. Your expertise will directly influence business outcomes, and high performance is rewarded with leadership opportunities and career advancement. Role Overview We are seeking a highly experienced and motivated Senior Data Scientist with deep expertise in Machine Learning, Deep Learning , and Generative AI (GenAI) . The ideal candidate will have a strong technical foundation, proven leadership in delivering data-driven solutions, and the ability to translate complex data insights into business strategies. Key Responsibilities Lead end-to-end data science projects from business requirement gathering to model deployment. Design and implement advanced machine learning and deep learning models , including LLMs and GenAI applications . Collaborate with stakeholders across industries to identify business challenges and propose data-driven solutions. Transform complex data into actionable insights using data visualization and storytelling tailored for senior management. Work with engineering teams to scale models using big data tools like Apache Spark, Hadoop , and cloud platforms such as AWS, GCP, Azure . Mentor junior data scientists and contribute to internal knowledge sharing and best practices. Manage multiple client engagements simultaneously, delivering solutions across diverse industries. Stay current with emerging technologies in AI/ML and GenAI , and proactively bring innovative ideas into projects. Experience: 6+ years of hands-on experience in data science and machine learning. Proven experience delivering solutions involving LLMs, NLP, and Generative AI technologies. Demonstrated success in client-facing roles and cross-functional collaboration. Plotly . Application form - https://databeat.keka.com/careers/jobdetails/32994

We are hiring for Deep Learning Engineer with 4+ years of exp for Chennai location. If Interested ,kindly share the updated resume to rrajasekar@arigs.com Required Competencies: Experience in AI, Machine learning, Deep learning software frameworks Pytorch/Tensorflow/Keras. Strong technical Knowledge on CNN, RNN and other related ML algorithms Prior experience with Linux environment and computer vision frameworks/libraries (OpenCV) is desired Solid programming experience in Python and C++ Familiar with development tools: GIT, CI (Gitlab CI / Jenkins), Linux Basic understanding of autonomous mobile robots, autonomous vehicles, sensors, and the core elements of autonomy Experience: BE/ME/PhD in Computer Science Engineering, Robotics Engineering, Mechatronics Engineering or a related field with 4+ years of experience on delivering products or solutions that utilized Computer Vision

Description Solid knowledge in C++, Python, Computer vision, Deep learning, and Edge devices deployment skills (Open vino, Jetson, snap dragon etc), Implement efficient and optimized algorithms in C++, Very good knowledge on Algorithms and Data structures, Familiar with Git & Linux CLI Good documentation skill Department SEC2_IPS_Unit_2_1 Open Positions 1 Skills Required Computer vision, Deep learning, C++, Python, Experience working with Edge devices Role Ability to read and Understand Deep learning research papers, train & validate the models, Implement AI algorithms in C++ Deploy the code on cloud or edge devices, Porting AI models/Algorithms to Edge devices(Nvidia Jetson) and Android mobile, Ability to write production level code in C++, Prepare technical documentation, Write effective and reusable code, Testing and benchmarking of AI models, Self-motivated and willing to learn new skills and technologies as needed, Location Bengaluru Education/Qualification Bachelor or Master of Technology Years Of Exp 3 to 5 years Designation Software Engineer Show more Show less

Hi Everyone! Programming.com is hiring for the role of " Data Scientist " Role & responsibilities End to end development of at least 1 mid to large scale AI project which involves GenAI technologies Strong knowledge about advanced RAG based retriever models Good working knowledge of LLM Agents Working knowledge of RAGFlow, LlamaIndex, Dify, Langflow, Langchain etc. Building models for extracting data from PDF, Images using the latest computer vision methods Training models with new/modified training dataset Selecting features, building and optimizing classifiers using machine learning techniques Data mining using state-of-the-art methods Processing, cleansing, and verifying the integrity of data used for analysis Enhancing data collection procedures to include information that is relevant for building analytic systems Skills and Qualifications Graduate in Engineering, Technology along with good business skills 5-15 Years of relevant industry experience PHD in ML or AI would be an added advantage Good scripting and programming skills in Python Strong knowledge of Large Language Models Application development using Azure, AWS or GCP Knowledge about fine-tuning of Language Models. Excellent understanding of machine learning techniques and algorithms on computer vision, TensorFlow, Keras, Tesseract, k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience with NLP. Good applied statistics skills, such as distributions, statistical testing, regression, etc. Experience with data visualization tools, such as Grafana, GGplot, etc. Experience with NoSQL databases, such as MongoDB, Cassandra Good communication skills Good problem solving and negotiation skills Please share your updated resume on this mail Id. Jyoti.tyagi@programming.com

We at Blackstraw.ai. are organizing a Walk-in Interview Drive for Data Scientist with minimum 4 years exp in Data Scientist Mini 4 Years Exp in Computer Vision, NLP and Predictive analytics solutions for various types of business problems. MLOps Mini 4 Years Strong experience in MLOps ; Python, Azure ML pipelines, LLMs, Docker & Kubernetes , CICD for ML deployment Job Requirements Bachelors/ Masters/ PhD degree in Math, Computer Science, Information Systems, Machine Learning, Statistics, Applied Mathematics or related technical degree. 5 plus years total experience with minimum of 3 years of experience in a related position, as a data scientist or business analyst building Computer Vision, NLP and Predictive analytics solutions for various types of business problems. Advanced knowledge of statistical techniques, machine learning algorithms and deep learning frameworks like Tensorflow, Keras, Pytorch Programming background and expertise in building models using at least one of the following languages: Python, R , C, C++ Strong individual planning and project management skills, able to juggle multiple tasks and priorities. Self-motivated and driven to deliver agreed results on-time Ability to convert analytical output into clear, concise, and persuasive insights & recommendations for technical & non-technical audience Strong influence and relationship management skills. Key traits: Should have excellent communication skills. Should be self-motivated and willing to work as part of a team. Should be able to collaborate and coordinate in a remote environment. Be a problem solver and be proactive to solve the challenges that come his way. Important Instructions: Do carry a hard copy of your resume, one passport photograph, along with a government identity proof for ease of access to our premises. *Please note: Do not carry any electronic devices apart from your mobile phone at office premises.* *Kindly fill up below form to submit you registration form: https://forms.gle/YkjtNjfj4ufHw9ug9 Preference will be given for Immediate Joiners or who can join within 10-15 days.

Responsibilities: *Design, develop & deploy AI/ML models using Python,deep learning & Agentic AI *Optimize model performance with Vector Databases & Docker/Kubernetes. Python, LLMs, PyTorch/TensorFlow, Hugging Face, NLP, Cloud,Model Deployment

Key Responsibilities: Build and maintain ML pipelines for training, validation, deployment, and monitoring Implement CI/CD for ML artifacts, including data versioning and model registries Monitor model performance and drift; trigger retraining workflows as needed Manage infrastructure (cloud, containerized, on-prem) for high-availability AI services Collaborate with data, ML, and ops teams to deliver frictionless MLOps lifecycle Required Skills: Strong knowledge of MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI) Proficiency in Python, Bash, Docker, and Kubernetes Familiarity with cloud infra (AWS/GCP/Azure) and IaC (Terraform, CloudFormation) Experience in model monitoring, logging, and alerting Bonus: experience in BPS / regulated domains with compliance-aware deployment"

Key Responsibilities: Develop and implement traditional machine learning algorithms. Deploy at least one model in a production environment. Write and maintain Python code for data science and machine learning projects. Minimum Skills Required: Preferred Qualifications: Knowledge of Deep Learning (DL) techniques. Experience working with Generative AI (GenAI) and Large Language Models (LLM). Exposure to Langchain.

Roles and Responsibilities Design and develop scalable AI solutions using ML, DL, and deep learning techniques. Collaborate with cross-functional teams to integrate AI models into existing systems. Develop data pipelines for collecting, processing, and analyzing large datasets. Ensure high-quality model deployment on cloud platforms like AWS/Azure/GCP. Participate in code reviews to maintain coding standards and best practices. Desired Candidate Profile Strong expertise in ML, DL, AIMl, TensorFlow, Deep Learning, Python programming language. 9-14 years of experience in Artificial Intelligence (AI) architecture development. B.Tech/B.E. degree from a reputed institution in Any Specialization.

Skills: 1] Hands-on experience in LLM/ML based application development 2] Productionizing LLM/ML apps Data Handling/processing/engineering Dataset creation/curation 3] Understanding of different LLM performance metrics, fine-tuning, prompt engineering 4] Image/Video Processing 5] Generative AI, OpenAI, Claude Knowledge. Good in Prompt Engineering, autogen or similar agentic framework knowledge Skills : - LLM/ML ,application development, Data Handling,Data processing,Data engineering,Dataset creation, LLM performance metrics, fine-tuning, prompt engineering, Image/Video Processing, Generative AI, OpenAI, Claude, Prompt Engineering, autogen, agentic framework Keywords :application development,machine learning,python,deep learning,natural language processing,computer vision,neural networks,opencv,image processing,pattern recognition,data science,imaging*,video processing*,ml*,artificial intelligence*,data engineering*

Solution Architect – Generative AI to lead a team and design cutting-edge AI-driven solutions. This role focuses on Generative AI applications, including RAG, full-stack platforms, and mobile apps Required Candidate profile Ensuring the successful implementation of cutting-edge AI/ML algorithms, and driving the development of high-performance systems

Key Responsibilities: Develop and implement traditional machine learning algorithms. Deploy at least one model in a production environment. Write and maintain Python code for data science and machine learning projects. Minimum Skills Required: Preferred Qualifications: Knowledge of Deep Learning (DL) techniques. Experience working with Generative AI (GenAI) and Large Language Models (LLM).

Job Duties: Job Title: Data Science & AIML, GenAI Lead/Engineer Key Responsibilities: Develop and implement traditional machine learning algorithms. Deploy at least one model in a production environment. Write and maintain Python code for data science and machine learning projects. Minimum Skills Required: Preferred Qualifications: Knowledge of Deep Learning (DL) techniques. Experience working with Generative AI (GenAI) and Large Language Models (LLM). Exposure to Langchain.

Career Category Engineering Job Description Principal, Agentic AI/Chatbots IC Role Name: Principal Machine Learning En gineer Department Name: AI & Data Science Role GCF: 6 Hiring Manager Name: Valentine Fontama ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world s toughest diseases, and make people s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what s known today. ABOUT THE ROLE Role Description: We are seeking a Principal Machine Learning Engineer Amgen s most senior individual-contributor authority on building and scaling end-to-end machine-learning and generative-AI solutions . Sitting at the intersection of engineering excellence and data-science enablement, you will de velop, deploy and monitor models classical ML, deep learning and LLMs securely and cost-effectively. Acting as a player-coach, you will establish AI solution strategy, define technical standards, and partner with DevOps, Security, Compliance and Product teams to deliver a frictionless , enterprise-grade AI solutions . Roles & Responsibilities: Own enterprise AI/ML architecture, standards, APIs, and guardrails across cloud/on-prem. Build production ML/ GenAI solutions and lightweight apps delivering sub-second insights. Build end-to-end ML pipelines data ingestion, feature engineering, training, hyper-parameter optimisation , evaluation, registration and automated promotion using Kubeflow, SageMaker Pipelines, Open AI SDK or equivalent MLOps stacks. Build and maintain full-stack AI applications by integrating model services with lightweight UI components, workflow engines or business-logic layers so insights reach users with sub-second latency. Establish observability , SLOs, and safe deploys ( blue-green /canary, shadow, rollbacks) with incident runbooks. Lead rigorous evaluation (offline/online, A/B), drift detection, and automated retraining. Architect LLM/RAG with prompt management, safety guardrails, and optimized inference. Enforce data quality , lineage, and model/data cards; apply privacy-preserving techniques where needed. Contribute reusable ML/ GenAI components feature stores, model registries, experiment-tracking libraries and evangelise best practices that raise engineering velocity across squads. Perform exploratory data analysis and feature ideation on complex, high-dimensional datasets to inform algorithm selection and ensure model robustness. Prototype and benchmark new algorithms , offering guidance on scalability trade-offs and production-readiness while co-owning model-performance KPIs. Translate domain needs (R&D, Manufacturing, Commercial) into roadmaps; mentor teams and communicate trade-offs. Must-Have Skills: 5-7 years in AI/ML and enterprise software. Strong command of machine-learning algorithms regression, tree-based ensembles, clustering, dimensionality reduction, time-series models, deep-learning architectures (CNNs, RNNs, transformers) and modern LLM/RAG techniques with the judgment to choose, tune and operationalize the right method for a given business problem. Proven track record selecting and integrating AI SaaS/PaaS offerings and building custom ML services at scale. Expert knowledge of GenAI tooling: vector databases, RAG pipelines, prompt-engineering DSLs and agent frameworks (e. g. , LangChain , LangGraph, Semantic Kernel). Proficiency in Python and Java ; containerization (Docker/K8s); cloud (AWS, Azure or GCP) and modern DevOps/ MLOps (GitHub Actions, Bedrock/ SageMaker Pipelines). Strong business-case skills able to model TCO vs. NPV and present trade-offs to executives. Exceptional stakeholder management; can translate complex technical concepts into concise, outcome-oriented narratives. Good-to-Have Skills: E xperience in Biotechnology or pharma industry is a big plus Published thought-leadership or conference talks on enterprise GenAI adoption. Master s degree in Computer Scienc e and or Data Science Familiarity with Agile methodologies and Scaled Agile Framework ( SAFe ) fo r project delivery. Education and Professional Certifications Master s degree with 12 - 15 + years of experience in Computer Science, IT or related field OR Bachelor s degree with 14 -16 + years of experience in Computer Science, IT or related field Certifications on GenAI /ML platforms (AWS AI, Azure AI Engineer, Google Cloud ML, etc. ) are a plus. Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals. Ability to learn quickly, be organized and detail oriented. Strong presentation and public speaking skills. EQUAL OPPORTUNITY STATEMENT We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation . .

SUMMARY Proven implementation experience in Data Science, Machine Learning, Deep Learning, and NLP for multiple domains. Strong programming skills in Python, with experience in libraries such as Transformers (Hugging Face), PyTorch, or TensorFlow. 6+ years of experience in data science, with at least 2 years focused on LLMs or Generative AI. Hands-on experience with fine-tuning, prompt engineering, RAG (Retrieval-Augmented Generation), and LLM evaluation. Familiarity with vector databases and embedding techniques. Experience deploying models using APIs, Docker, and cloud platforms Strong analytical, problem-solving, and communication skills. Experience in ML Ops, Model deployment, Model lifecycle and management

Role: Lead Data Science Location: Pune Experience: 4-8 Years Notice Period : Immediate to 15 Days Job Description: Bachelors / Masters degree in Engineering, Applied Mathematics or related field Strong analytics skills: ability to assess data, drive insights, and make recommendations. Strong experience in manipulating data sets and building statistical models. Strong problem-solving skills with an emphasis on product development. Chemical engineers with APC/APM experience shall be added advantage Experience supporting fast-paced startup engineering teams In-depth understanding of the latest trends and developments in AI and ML, especially in generative models and LLM (both Cloud and OnPrem) Proficiency in programming languages & libraries Cloud: AWS, Azure. Languages: Advanced Python, pySpark Framework: Lambda , Django, Express. Database: Postgres, Mongo, ES Hands on experience in Design and development including Automated Unit testing (pyTest) with strong technical background to create performant & extendible applications Minimum 4 years of relevant experience in data science related product development Responsibilities: • Conducting research aligned to the roadmaps to de-risk/ mature and insert advanced AI concepts to Honeywell products (latest advancements in generative AI / Causal / Knowledge Graphs, machine learning, and deep learning techniques ) • Researching, designing, implementing, scalable AI based solutions to solve high value & challenging customer problems and drive opportunities for new growth • Leads prototyping (whatifs) supporting pilot programs for R&D purposes. • Collaborating with cross-functional teams to develop data-driven solutions. • Responsible for problem analysis, stakeholder interaction, solution design, front end and back- end integration, maintenance, and support of data science and analytics solutions • Develop guidelines and standards for analytics and machine learning models, their deployment, and associated processes Intrested candidates can forward CV to mayura_u@trigent.com

As a Data Science and AI / ML professional at LTIMindtree, you will play a crucial role in leveraging digital technologies to drive innovation and growth for our clients. With over 6 years of experience in the field, you will be expected to have a deep understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Your expertise in data frameworks like Hadoop, business intelligence tools like Tableau, and Cloud native skills will be essential in delivering superior business outcomes. Key Responsibilities: - Utilize your knowledge of SQL and Python, with familiarity in Scala, Java, or C++ as an asset, to develop innovative AI solutions - Apply your analytical mind and strong math skills in statistics and algebra to solve complex business challenges - Work with common data science toolkits such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy, etc., with expertise in at least one being highly desirable - Leverage your experience in NLP, NLG, and Large Language Models like BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc., to drive transformative projects - Communicate effectively and present your findings with great clarity, thriving in a fast-paced team environment - Utilize AIML and Big Data technologies like AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR, etc., to scale your solutions - Apply your expertise in NoSQL databases such as MongoDB, Cassandra, HBase, Vector databases to handle large datasets effectively - Demonstrate a good understanding of applied statistics skills like distributions, statistical testing, regression, etc., to derive valuable insights for the business Qualifications Required: - More than 6 years of experience in Data Science and AI / ML domain - Excellent understanding of machine learning techniques and algorithms - Experience using business intelligence tools and data frameworks - Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an asset - Strong math skills (e.g., statistics, algebra) - Experience with common data science toolkits - Great communication and presentation skills - Experience with AIML and Big Data technologies - Experience with NoSQL databases Please note that the mentioned qualifications, skills, and experiences are mandatory for the role at LTIMindtree.,