5480 Deep Learning Jobs - Page 5

About us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up . Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasn t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target s global team and has more than 4,000 team members supporting the company s global strategy and operations. Pyramid overview A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you ll be challenged to harness Target s impressive data breadth to build the algorithms that power solutions our partners in in Marketing, Supply Chain Optimization, Network Security and Personalization rely on Every Scientist on Target s Data Sciences team can expect modeling and data science, software/product development of highly performant code for Model Performance, and to elevate Target s culture and apply retail domain knowledge. About the role As a Lead Data Scientist, you ll influence by interacting with the Data Sciences team, Product teams, Scientist/Engineer individual contributors from other pillars, and business partners. You will perform within the scale and scope of your role by defining solutions and beginning to identify problems to solve and contribute to Data Sciences and Target s culture by modeling and contributing to the culture. You ll get the opportunity to use your expertise in one or more of the following areasmachine learning, probability theory & statistics, optimization theory, Simulation, Econometrics, Deep Learning, Natural Language processing or computer vision. We will look to you to own design and implementation of an algorithmic solution (e.g., recommendation or forecasting algorithm), including data understanding, feature engineering, model development, validation and testing, and deployment to a production environment. You ll drive development of problem statements that capture the business considerations, define metrics/measurement to validate model performance, and drive feasibility study with data requirements and potential solutions approaches to be considered. You ll evaluate tradeoffs of simple vs complex models/solutions in determining the right technique to employ for a business problem and develop and maintain a nuanced understanding of the data generated by the business, including fundamental limitations of the data. You ll leverage your proficiency in one or more approved programming languages (Java, Scala, Python, R), and ensure foundational programming principles in developing code (best practices, writes unit tests, code organization, basics of CI/CD etc.) are followed in developing the team s products/models. You ll not only stitch together basic data pipelines for a given problem and own design and implementation of individual components within Data Science/Tech applications, but also articulate the technical strategy, value of technology, and impact on the business. As you do so, you ll collaborate with engineers, scientists, and business partners/product owners to create algorithmic solutions that are performant and integrated into applications. We ll look to you to mentor and provide technical support within a team, including mentoring junior team members, and present your work and your team s work to business partners and other Data Sciences teams. With a deeper understanding of your functional area of responsibility, you ll support agile ceremonies, collaborate with peers across multiple products, communicate and collaborate with business partners, and demonstrate an understanding of areas outside your scope of responsibility. The exciting part of retailIt s always changing! Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs. About you: 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) and 6+ years of professional experience or equivalent industry experience Master s degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) Good knowledge and experience developing optimization, simulation, and statistical models Strong analytical thinking skills. Ability to creatively solve business problems, innovating new approaches where required Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory Good working knowledge of mathematical and statistical concepts, MILP, algorithms, and computational complexity Passion for solving interesting and relevant real-world problems using a data science approach Experience in implementing advanced statistical techniques like regression, clustering, PCA, forecasting (time series) etc. Able to produce reasonable documents/narrative suggesting actionable insights Excellent communication skills. Ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives Self-driven and results oriented; able to meet tight timelines Strong team player with ability to collaborate effectively across geographies/time zones Know More About us here: Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

SUMMARY AI & Automation Solution Development Assist in the design, development, and implementation of AI-driven and automation solutions, including conversational AI, document intelligence, and multi-agent orchestration. Contribute to rapid proof-of-concept (POC) initiatives, helping to build, test, and iterate on new ideas. Support the end-to-end solution lifecycle, from initial development to cloud deployment and optimization. Integrate AI solutions with existing business platforms and enterprise systems under guidance. Technical Contribution & Learning Write clean, efficient, and well-documented code, primarily in Python, for AI and automation solutions. Participate in code reviews and contribute to maintaining high technical standards. Learn and apply best practices in AI, machine learning, and automation. Stay updated with emerging AI technologies and trends. Collaboration & Support Collaborate with business stakeholders, data scientists, engineers, and platform specialists. Assist in communicating technical concepts and project progress to various audiences. Support the team in aligning project outcomes with business objectives. About You You’re a great fit for the AI Developer role if your background includes: Must Have: 1-4 years of professional experience in AI, Machine Learning, Data Science, and/or Automation roles. Hands-on experience with developing and deploying AI solutions, with a foundational understanding of Generative AI concepts (e.g., LLMs, RAG architectures) and/or Agentic AI principles. Proficiency in Python programming. Familiarity with cloud-based AI/ML services (Azure, GCP, or AWS) and basic understanding of deployment processes. Basic understanding of data pipelines and MLOps concepts. Strong problem-solving skills and a keen interest in learning new technologies. Good communication and teamwork skills. Good to Have: Experience with specific Generative AI frameworks or libraries. Exposure to building or working with multi-agent systems. Familiarity with document understanding techniques, such as data extraction or OCR. Experience using modern AI development tools (e.g., GitHub Copilot) to enhance productivity. Relevant coursework or certifications in AI/ML

Were seeking a forward-thinking Gen AI Engineer to design, implement, and optimize cutting-edge agentic AI solutions using frameworks such as Crew.ai , LangChain , and LangGraph . You will work at the intersection of LLMs , Retrieval-Augmented Generation (RAG) systems, and NLP , enabling impactful AI applications across diverse domains. Key Responsibilities Design and deploy autonomous AI agents and multi-agent systems using LLMs such as GPT-4o, Claude, and LLaMA, leveraging Crew.ai, LangChain (and LangGraph). Own the AI solution lifecycle , including data acquisition, model experimentation, fine-tuning, deployment, and production monitoring. Develop scalable AI backends and pipelines using Python with frameworks like PyTorch or TensorFlow, deploying via REST APIs (FastAPI) on cloud platforms like AWS or Azure. Implement RAG-based systems by integrating open-source LLMs (via Hugging Face or Ollama) with vector databases (e.g., Pinecone, ChromaDB) and structured data stores (SQL/NoSQL). Collaborate with cross-functional teams to ensure reliable, maintainable, and impactful AI solutions. Required Skills & Experience 2 to 5 years of experience in AI/ML, NLP, Generative AI, with a focus on agentic AI systems . Strong proficiency in Python and hands-on experience building RAG systems and deploying open-source LLMs. Experience developing AI-driven backends and services with a strong understanding of scalability and performance. Familiarity with vector search technologies, database integration, and cloud-native architectures. Excellent communication and collaboration skills; ability to work effectively in a team environment. Education B.Tech/B.E. or M.Tech/M.E. in Computer Science, AI/ML, or a related field. Role: Gen AI Engineer Designation: AI Developer Experience: 2-5 Years (AI/ML, NLP, Generative AI): Location: Pune

T he AI Models team is looking for exceptional machine learning scientists and engineers to explore and innovate on training and inference techniques for large language models (LLMs), large multimodal models (LMMs), image/video generation and other foundation models . You will be part of a world-class research and development team focussing on efficient and scalable pre-training, instruction tuning, alignment and optimization . As an early member of the team, you can help us shap e the direction and strategy to fulfill this important charter. THE PERSON: This role is for you if you are passionate about reading through the latest literature, coming up with novel ideas, and implementing those through high quality code to push the boundaries on scale and performance. The ideal candidate will have both theoretical expertise and hands-on experience with developing LLMs, LMMs, and/or diffusion models. We are looking for someone who is familiar with hyper-parameter tuning methods, data preprocessing & encoding techniques and distributed training approaches for large models. KEY RESPONSIBILITIES: Pre-train and post-train models over large GPU clusters while optimizing for various trade-offs . Improve upon the state-of-the- art in G enerat ive AI model architectures, data and training techniques. Accelerate the training and inference speed across AMD accelerators . Build agentic frameworks to solve various kinds of problems Publish your research at top-tier conferences, workshops and/ or through technical blogs. Engage with academia and open-source ML communities. Drive continuous improvement of infrastructure and development ecosystem. PREFERRED EXPERIENCE: Strong development and debugging skills in Python. Experience in deep learning frameworks ( like PyTorch or TensorFlow ) and distributed training tools (like DeepSpeed or Pytorch Distributed ) . Experience with fine-tuning methods (like RLHF & DPO) as we'll as parameter efficient techniques (like LoRA & DoRA). Solid understanding o f various types of transformer s and state space models . Strong publication record in top-tier conferences, workshops or journals. S olid communication and problem-solving skills. Passionate about learning new stuffs in this domain as we'll as innovating on top of it ACADEMIC CREDENTIALS: Advanced degree ( Master s or PhD) in machine learning, computer science, artificial intelligence, or a related field is expected. Exceptional Bachelor s degree candidates may also be considered .

We are looking for students who are passionate about AI, advancing science, and building the next generation of intelligent systems for ultrasound applications. Our ambitious AI research agenda is both broad and deep, with leading edge projects in signal & image processing, machine learning and deep learning. You will interact with multiple teams on AI and will help bring research ideas into scalable, robust systems. Responsibilities: Developing AI, pre and post processing algorithms on signals, images and videos with a focus on ultrasound. Develop various machine learning and deep learning techniques and algorithms for regression, classification, statistical modelling, and predictive modelling, etc , for ultrasound applications Exploration of various Deep neural network architectures and transfer learning methods Basic Requirements: Masters holders in electronics/computer science/statistics/signal & image processing/machine learning/artificial intelligence /data science or any other related discipline Experience with one or more analytic software tools or languages (like R and Python) Experience in C/C++ Commit for 12 months internship Currently pursuing MTech from IITs and IIIT only (no NIT etc)

Job Description Summary Data Scientist with deep expertise in modern AI/ML technologies to join our innovative team. This role combines cutting-edge research in machine learning, deep learning, and generative AI with practical full-stack cloud development skills. You will be responsible for architecting and implementing end-to-end AI solutions, from data engineering pipelines to production-ready applications leveraging the latest in agentic AI and large language models. Job Description Key Responsibilities AI/ML Development & Research Design, develop, and deploy advanced machine learning and deep learning models for complex business problems Implement and optimize Large Language Models (LLMs) and Generative AI solutions Build agentic AI systems with autonomous decision-making capabilities Conduct research on emerging AI technologies and their practical applications Perform model evaluation, validation, and continuous improvement Cloud Infrastructure & Full-Stack Development Architect and implement scalable cloud-native ML/AI solutions on AWS, Azure, or GCP Develop full-stack applications integrating AI models with modern web technologies Build and maintain ML pipelines using cloud services (SageMaker, ML Engine, etc.) Implement CI/CD pipelines for ML model deployment and monitoring Design and optimize cloud infrastructure for high-performance computing workloads Data Engineering & Database Management Design and implement data pipelines for large-scale data processing Work with both SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra, etc.) Optimize database performance for ML workloads and real-time applications Implement data governance and quality assurance frameworks Handle streaming data processing and real-time analytics Leadership & Collaboration Mentor junior data scientists and guide technical decision-making Collaborate with cross-functional teams including product, engineering, and business stakeholders Present findings and recommendations to technical and non-technical audiences Lead proof-of-concept projects and innovation initiatives Required Qualifications Education & Experience Master's or PhD in Computer Science, Data Science, Statistics, Mathematics, or related field 5+ years of hands-on experience in data science and machine learning 3+ years of experience with deep learning frameworks and neural networks 2+ years of experience with cloud platforms and full-stack development Technical Skills - Core AI/ML Machine Learning: Scikit-learn, XGBoost, LightGBM, advanced ML algorithms Deep Learning: TensorFlow, PyTorch, Keras, CNN, RNN, LSTM, Transformers Large Language Models: GPT, BERT, T5, fine-tuning, prompt engineering Generative AI: Stable Diffusion, DALL-E, text-to-image, text generation Agentic AI: Multi-agent systems, reinforcement learning, autonomous agents Technical Skills - Development & Infrastructure Programming: Python (expert), R, Java/Scala, JavaScript/TypeScript Cloud Platforms: AWS (SageMaker, EC2, S3, Lambda), Azure ML, or Google Cloud AI Databases: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, Cassandra, DynamoDB) Full-Stack Development: React/Vue.js, Node.js, FastAPI, Flask, Docker, Kubernetes MLOps: MLflow, Kubeflow, Model versioning, A/B testing frameworks Big Data: Spark, Hadoop, Kafka, streaming data processing Preferred Qualifications Experience with vector databases and embeddings (Pinecone, Weaviate, Chroma) Knowledge of LangChain, LlamaIndex, or similar LLM frameworks Experience with model compression and edge deployment Familiarity with distributed computing and parallel processing Experience with computer vision and NLP applications Knowledge of federated learning and privacy-preserving ML Experience with quantum machine learning Expertise in MLOps and production ML system design Key Competencies Technical Excellence Strong mathematical foundation in statistics, linear algebra, and optimization Ability to implement algorithms from research papers Experience with model interpretability and explainable AI Knowledge of ethical AI and bias detection/mitigation Problem-Solving & Innovation Strong analytical and critical thinking skills Ability to translate business requirements into technical solutions Creative approach to solving complex, ambiguous problems Experience with rapid prototyping and experimentation Communication & Leadership Excellent written and verbal communication skills Ability to explain complex technical concepts to diverse audiences Strong project management and organizational skills Experience mentoring and leading technical teams How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs. DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know. We invite you to explore all TaskUs career opportunities and apply through the provided URL . Location - Chennai,Gurugram,Hyderabad,Indore,Mumbai

Key Responsibilities 1. Strategic Transformation Leadership Define and lead enterprise transformation programs focused on cost reduction, process efficiency, and quality improvement across global BPO operations. Align transformation initiatives with strategic business objectives , driving outcomes around productivity, billable utilization, SLA adherence, and CX metrics (CSAT, FCR, etc.). 2. AI/ML-Driven Innovation Identify and lead use cases for machine learning, generative AI, NLP, predictive analytics, and automation across key functions (quality assurance, workforce management, fraud detection, content moderation, etc.). Partner with internal data science, product, and engineering teams to develop AI/ML solutions , PoCs, and production-grade deployments. 3. Process Reengineering & Six Sigma Apply Lean Six Sigma (Black Belt certified) methodologies to redesign workflows, eliminate waste, and reduce variation in critical processes. Conduct value stream mapping , RCA workshops, and process simulations to uncover optimization opportunities. Develop and track transformation KPIs like AHT, TAT, Idle Time, Utilization, Attrition, and Forecast Accuracy. 4. Cross-functional Program Execution Collaborate with business leaders, operations heads, and IT stakeholders to roll out initiatives with measurable ROI . Manage complex transformation roadmaps with agile governance , stakeholder alignment, change management, and risk mitigation. 5. Capability Building & Change Management Drive organizational maturity in digital transformation, citizen development, and AI literacy . Lead CoE (Center of Excellence) for AI-augmented operations and continuous improvement . Required Qualifications Bachelors degree in Engineering, Computer Science, or a related field (Masters preferred). Six Sigma Black Belt certification (mandatory). 12+ years of experience in BPO KPO Shared Services , with proven ownership of large-scale transformation projects . 5+ years of experience leading AI/ML initiatives , with demonstrable understanding of model lifecycle, deployment, and AI governance. Proficient in tools like Python, SQL, Power BI/Tableau , and exposure to AI platforms (Azure AI, AWS SageMaker, Google Vertex AI, or OpenAI APIs). Strong command over automation technologies (RPA tools like UiPath, Blue Prism, or Power Automate). Deep understanding of BPO metrics and operational challenges in domains like CX, F&A, Risk, and Content Operations . Preferred Traits Strategic thinker with a bias for action and problem-solving mindset . Strong leadership presence with ability to influence C-level stakeholders. Excellent communication and storytelling skills, especially in presenting data-backed Recommendations . Comfortable operating in fast-paced, ambiguous, and matrixed environments .

We are looking for a highly skilled Data /AI/ML/Gen AI Scientist to join our dynamic team. This role is crucial in developing and implementing cutting-edge AI products and solutions, enabling businesses to unlock the full potential of AI and ML. The ideal candidate will have a strong background in Python, experience with cloud platforms, and a solid understanding of various AI concepts. Key Responsibilities: Develop and implement innovative AI and ML models to solve complex business problems. Design and build scalable AI solutions using Python and relevant frameworks/libraries (Flask API, Fast API, Pandas, Scikit Learn, PyTorch, Transformer, OpenAI, Huggingface). Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Conduct research and development to stay updated with the latest advancements in AI and ML. Engage with clients to understand their needs and provide tailored AI solutions. Lead and mentor junior team members, fostering a collaborative and innovative work environment. Ensure continuous learning and development to keep up with the fast-paced AI industry. Rapidly prototype and iterate on AI models and solutions to meet business needs. Key Skills and Qualifications: Proficiency in Python Experience with cloud platforms such as AWS, Azure, or GCP for AI/ML/DS project development. Strong understanding of ML models, Deep Learning, NLP/CV, and Generative AI concepts. Comfortable working in a fast-paced environment with rapid prototyping. Experience with client engagement and leading teams is a plus. Proven track record in building products/solutions using cutting-edge AI models and tools.

Bachelors / Master s 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 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 (what ifs) supporting pilot programs for RD 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 Pune, Maharashtra, India 2025-09-11T13:53:38+00:00

We are looking for a Staff Machine Learning Engineer to join the Eats Search Ranking Team. You will play a critical tech lead role in improving relevance and ranking for search results across all Uber Eats surfaces. Your work will have significant impact on the search experience for millions of Uber Eats users worldwide. What the Candidate Will Need / Bonus Points What the Candidate Will Do ---- Lead the team in design, development, and deployment of state-of-the-art machine learning models and algorithms to solve business problems and improve product performance. Collaborate with applied/data scientists, software engineers, and product managers to understand requirements, define project goals, and deliver high-quality solutions. Set long term technical direction for one of the key investment areas in the team (e.g., query understanding, retrieval, ranking), and uphold high engineering and ML quality bar Mentor and grow ML engineers in the team Identify new business opportunities to solve problems with the right technologies, and stay up-to-date with the latest advancements in machine learning techniques and technologies. Basic Qualifications ---- Bachelors or Masters degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related technical field 6+ years of experience in developing and deploying machine learning models and algorithms in production environments Deep understanding of machine learning algorithms and ranking / recommendation systems, and strong system design skills Preferred Qualifications ---- Ph.D. degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related technical field Experience directly tech leading a machine learning team focusing on large scale search and ranking applications. Excellent communication skills and the ability to collaborate effectively with cross-functional teams Strong programming skills in languages such as Python, Java, or C++ Familiarity with latest development in the field of deep learning, LLM, generative AI, recommendation system and related fields. Track record of applied research is a plus.

12 to 16 years of experience in Artificial Intelligence, Machine learning technologies, GenAI technologies. Proven experience as an Enterprise Architect, Solution Architect, or a similar role, with a focus on AI/ML and generative AI. Core expertise in architecting AI/ML, Deep learning GEN AI Solutions end-to-end. Proven skills building machine learning, deep learning models leveraging large datasets. Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms. Proficiency in NLP and computer vision techniques to extract insights from unstructured clinical/healthcare data. Experience in designing algorithms for predictive analytics for efficient data analysis and processing. Hands-on experience of machine learning methodologies including advanced analytics tools (such as R and Python) along with applied mathematics, ML and Deep Learning frameworks and libraries (TensorFlow, PyTorch, Keras) and ML techniques. Proven expertise with LLMs (Google Vertex AI, Gemini / Microsoft Azure Open AI /and other LLM models) including API access for GenAI. Proven expertise in CI/CD pipeline design and management in the Generative AI space including experience with LLMOPS. Understanding and working knowledge of Agentic AI and its usage in the intelligent automation of business workflows. Should have working knowledge of how to integrate RAG and MCP into AI solution designs to address specific business needs. Strong hands-on experience with Cloud databases such as Snowflake, Aurora, Google BigQuery etc. Strong Hands-on experience with SAS GRID/SAS VIYA, AWS Sage maker, Jupyter Notebooks, and platforms like AWS bedrock and Azure data science workbench. Familiarity with data structures, data modeling, and software architecture Strong understanding of HIPAA regulations and healthcare data privacy laws is a must-have for this role, as the healthcare domain requires strict adherence to data privacy and security regulations. Strong experience with AI/MLOps concepts and Generative AI technology. Must be skillful in documenting architectural artifacts, establishing reference architectures. Well-versed in following enterprise architecture governance, enforce best practices/standards, prepare architecture blueprints, strategies, and roadmaps. Excellent written and oral communication skills to convey key choices, recommendations, and technology concepts to technical and non-technical audiences. Experience utilizing API development and integration using tools such as MuleSoft and REST APIs Proven skills of leading junior team members guiding/orienting them ensuring smooth timely completion of tasks.

Definedge Securities Broking is looking for AI Developer to join our dynamic team and embark on a rewarding career journey The AI Developer will be responsible for designing, developing, and implementing artificial intelligence (AI) and machine learning (ML) models and algorithms to solve complex business problems They will work closely with cross-functional teams to understand business requirements, identify opportunities for AI and ML solutions, and develop prototypes and production-ready models Key Responsibilities: Design, develop, and implement AI and ML models and algorithms to solve complex business problems Develop and implement prototypes and production-ready models using programming languages such as Python, R, or Java Perform data analysis, data preparation, and feature engineering to create datasets that are appropriate for AI and ML models Perform model selection, optimization, and evaluation to ensure that models meet business requirements and are accurate and reliable Develop and implement data pipelines, data storage solutions, and data visualization tools to support AI and ML models Deploy models to production environments and monitor their performance and accuracy over time Experience in AI and ML development Strong programming skills in languages such as Python, R, or Java Familiarity with AI and ML frameworks such as TensorFlow, PyTorch, or Keras Experience with data analysis, data preparation, and feature engineering Knowledge of data storage solutions and data visualization tools Experience with cloud computing platforms such as AWS, Azure, or Google Cloud Excellent problem-solving, critical thinking, and communication skills Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying.

CodeZyng is looking for AI Engineer to join our dynamic team and embark on a rewarding career journey Designing and developing AI algorithms and models to solve specific business problems Creating and maintaining databases for storing and processing large amounts of data Developing and deploying machine learning and deep learning models Implementing and integrating AI solutions with existing systems and software Analyzing and interpreting complex data sets to extract insights and drive decision-making Collaborating with cross-functional teams to develop and deploy AI applications Ensuring the security and privacy of data used in AI applications Communicating and presenting technical information to non-technical stakeholders Excellent communication skills & attention to detail Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying.

AIonOS is looking for ML Engineering Internship to join our dynamic team and embark on a rewarding career journey We are seeking a highly skilled and motivated Machine Learning Engineer to join our dynamic team The Machine Learning Engineer will be responsible for designing, developing, and deploying machine learning models to solve complex problems and enhance our products or services The ideal candidate will have a strong background in machine learning algorithms, programming, and data analysis Responsibilities:Problem Definition:Collaborate with cross-functional teams to define and understand business problems suitable for machine learning solutions Translate business requirements into machine learning objectives Data Exploration and Preparation:Analyze and preprocess large datasets to extract relevant features for model training Address data quality issues and ensure data readiness for machine learning tasks Model Development:Develop and implement machine learning models using state-of-the-art algorithms Experiment with different models and approaches to achieve optimal performance Training and Evaluation:Train machine learning models on diverse datasets and fine-tune hyperparameters Evaluate model performance using appropriate metrics and iterate on improvements Deployment:Deploy machine learning models into production environments Collaborate with DevOps and IT teams to ensure smooth integration Monitoring and Maintenance:Implement monitoring systems to track model performance in real-time Regularly update and retrain models to adapt to evolving data patterns Documentation:Document the entire machine learning development pipeline, from data preprocessing to model deployment Create user guides and documentation for end-users and stakeholders Collaboration:Collaborate with data scientists, software engineers, and domain experts to achieve project goals Participate in cross-functional team meetings and knowledge-sharing sessions Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying.

Design, implement, and deploy scalable machine learning models and AI algorithms. Collaborate with cross-functional teams to define use cases, collect requirements, and deliver AI-driven solutions. Conduct data preprocessing, feature engineering, and exploratory data analysis. Train, test, and optimize models for performance, scalability, and accuracy. Monitor and maintain ML pipelines and deployed models in production. Stay updated with the latest research, tools, and best practices in AI/ML. Document experiments, workflows, and results clearly for future reference and reproducibility. Skills Required: Bachelor s or Master s degree in Computer Science, Data Science, Statistics a related field. Solid understanding of machine learning algorithms (supervised, unsupervised, deep learning). Proficiency in Python and ML libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, XGBoost, or similar. Experience with data manipulation and analysis tools (Pandas, NumPy, SQL). Understanding of model evaluation metrics and techniques to improve model performance. Knowledge of cloud platforms (AWS, Azure, GCP) and MLOps is a plus. Strong problem-solving skills, analytical mindset, and ability to communicate technical concepts to non-technical stakeholders. Contributions to open-source AI/ML projects or publications in the field.

About Us The Apeejay Stya University is a seat of global learning that offers rich opportunities for innovative teaching-learning, creativity and research across disciplines. It aims to bring about transformation of the society through value-based education, man-making and nation-building by blending together the dual identities of a technology and research-based university with a liberal arts institution. Established by the Apeejay Stya Education Foundation in the state of Haryana [under Act No. 10 of the Haryana Private Universities (Amendment) Act 2010], the ASU provides students not only 'education for living and livelihood' but also 'education for life' and empower learners with a fundamental foundation in leadership and professional skills to face the challenges of the new liberalized global economy. Role & responsibilities Leading the school in coordination with HOD and ensuring objectives of the school and University are met. Carry a load of courses in various topics pertaining to School of Engineering & Technology Evaluating existing courses, its relevance and suggesting improvements within guidelines. Develop and implement student learning outcomes and assessment activities at the program and course levels. Based on industry requirements conceive, design, develop and implement new courses ensuring all regulatory requirements. Manage enrollment to maximize use of faculty loads and space resources, especially general purpose classrooms and labs. Encourage and enhance research within the school. Encourage team to focus and guide research students and/or projects. Sharing and adopting best practice from other schools. Evaluate assessment criteria and suggest changes as and when required. Lead regulatory audits and other investigations as and when required. Responsible for upholding culture through communication, positive approach and inculcating and maintaining strong ethical standards. Actively participate in admission process from inception to execution in conjunction with the relevant stake holders. Advise students in the major, mentoring students who are completing their final projects and providing career guidance to those determining their major or specialization Stay up to date on advancements in the field and new research being produced in your area of expertise Candidate should have done good amount of AI , ML And Deep Learning in leading journals in the field of Computer Science / IT Expertise in Radio Frequency, Antenna Design, Microwave imaging and Internet of things Education Qualifications Required Ph.D. Degree in Computer Science Engineering (CSE) / Information Technology (IT) B.Tech & M.Tech degree in Computer Science Engineering (CSE) / Information Technology (IT) Minimum 3-4 years of teaching/research/industry experience at university/college level, with evidence of published research/artistic work. At least 3 research publications in UGC/peer-reviewed journals/recognized art publications.

Develop and implement machine learning and deep learning models. Integrate AI solutions into applications and systems. Optimize model performance, scalability, and accuracy. Research and apply the latest AI tools, frameworks,

Data scientists at Thoughtworks are responsible for leading and executing data science projects. They employ their profound expertise in statistics, modeling, machine learning algorithms and data mining methodologies. They integrate this expertise with a comprehensive understanding of related domains to render business value and illuminate data-driven insights, facilitating clear and effective decision-making processes. Their responsibilities encompass devising strategies, executing plans, operationalizing solutions and articulating the tangible business outcomes achieved. Collaborating with cross-functional teams is pivotal, as they adeptly convey their discoveries to both technical and non-technical stakeholders. They stay up-to-date with industry advancements, ensure data quality and security, and provide guidance to junior team members. As a data scientist at Thoughtworks, you'll work on a range of projects and leverage deep technical knowledge to solve complex business problems. Job responsibilities You will lead and manage data science projects from inception to completion, including goal-setting, scope definition and ensuring on-time delivery with cross team collaboration. You will collaborate with stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality for enabling AI and machine learning. You will be responsible for the overall AI system design, problem framing and governance, identifying and managing risks and issues. You will design, develop and implement data science strategies that drive measurable business results. You will design experiments for the team to rapidly test ideas and assumptions, and identify future courses of action. You will use quality metrics to select machine learning models that will be deployed in the production environment. You will communicate technical findings and insights to stakeholders in a clear, easy and concise way, keeping the stakeholders in mind. You will contribute to the growth of the data science community along with promoting a culture of data literacy within the organization. You will address ethical concerns and adhere to ethical guidelines using FATTER AI (fairness, accountability, transparency, trustworthiness, explainability, responsibility). You will work with CD4ML practices and data versioning tools. Job qualifications Technical Skills You have experience in leading the analysis and modeling of different datasets and overseeing an inception to deploying and productionizing the models. You have experience with statistical modeling, hypothesis testing, machine learning, deep learning, optimization and other data science techniques to implement end-to-end data science projects. You understand the specialized areas of AI and possess a speciality with at least one of them (i.e.: NLP/computer vision/Generative AI, etc)tc). You have experience with R, Python or equivalent statistical/data analysis tools and can write production-ready code that is easy to evolve and test. You gather and preprocess large volumes of structured and unstructured data from various sources, ensuring data quality and integrity. You analyze datasets using statistical and visualization techniques to identify patterns, trends and relationships. You develop and implement machine learning models, algorithms and predictive analytics to solve specific business problems or improve existing processes. You evaluate model performance using appropriate metrics and validate models to ensure robustness and reliability. You interpret and effectively communicate findings and insights to non-technical stakeholders through reports, presentations and visualizations. You ensure compliance with data privacy regulations and ethical standards when handling sensitive information. Professional Skills You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way. You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives. You dont shy away from risks or conflicts, instead you take them on and skillfully manage them. You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work. You enjoy influencing others and always advocate for technical excellence while being open to change when needed. You are a proven leader with a track record of encouraging teammates in their professional development and relationships. Cultivating strong partnerships comes naturally to you; You understand the importance of relationship building and how it can bring new opportunities to our business.

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy. Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson. Ensure seamless chatbot integration with existing platforms and CRM systems. Work closely with data scientists to improve machine learning models. Must have strong proficiency in Python, deep learning techniques, and chatbot analytics. Mandatory Key Skills deep learning,chatbot,machine learning,artificial intelligence,algorithms,natural language processing,tensorflow,data science,keras,computer vision,neural networks,opencv,django,image processing,predictive modeling,r,data analytics,flask,python*

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 Skills machine 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*

About The Role Project Role : Cloud Migration Engineer Project Role Description : Provides assessment of existing solutions and infrastructure to migrate to the cloud. Plan, deliver, and implement application and data migration with scalable, high-performance solutions using private and public cloud technologies driving next-generation business outcomes. Must have skills : Dynatrace 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 Migration Engineer, you will provide a comprehensive assessment of existing solutions and infrastructure to facilitate migration to the cloud. Your typical day will involve planning, delivering, and implementing application and data migration strategies that leverage both private and public cloud technologies, ultimately driving next-generation business outcomes and ensuring high-performance solutions for our clients. 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 migration strategies that align with business objectives.- Collaborate with cross-functional teams to ensure seamless integration of cloud solutions. Professional & Technical Skills: - Must To Have Skills: Proficiency in Dynatrace 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.- Experience with monitoring and performance tuning of cloud applications.- Familiarity with DevOps practices and tools for continuous integration and delivery. Additional Information:- The candidate should have minimum 3 years of experience in Dynatrace Administration.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Cloud Technical Architect Project Role Description : Develop and deliver agile and cost effective hosting solutions. Implement scalable, high performance hosting solutions that meet the need of todays corporate and digital applications using both private and public cloud technologies. Plan and deliver legacy infrastructure transformation and migration to drive next-generation business outcomes. Must have skills : SAP BTP Application Development Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Technical Architect, you will develop and deliver agile and cost-effective hosting solutions. Your typical day will involve collaborating with various teams to implement scalable and high-performance hosting solutions that cater to the needs of contemporary corporate and digital applications. You will also engage in planning and executing legacy infrastructure transformation and migration projects, driving next-generation business outcomes through the effective use of both private and public cloud technologies. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing and best practices among team members.- Monitor project progress and ensure alignment with business objectives. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP BTP Application Development.- Strong understanding of cloud architecture and deployment models.- Experience with agile methodologies and project management.- Familiarity with containerization technologies such as Docker and Kubernetes.- Ability to design and implement APIs for seamless integration. Additional Information:- The candidate should have minimum 5 years of experience in SAP BTP Application Development.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy. Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson. Ensure seamless chatbot integration with existing platforms and CRM systems. Work closely with data scientists to improve machine learning models. Must have strong proficiency in Python, deep learning techniques, and chatbot analytics. Mandatory Key SkillsNLP,algorithms,Dialogflow,Python,machine learning models,chatbot analytics,chatbot integration*

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Natural Language Processing (NLP) Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will also explore the integration of generative AI models into your projects, while collaborating with cross-functional teams to enhance the functionality and performance of the systems you develop. Your role will require a blend of creativity and technical expertise to address complex challenges in the field of artificial intelligence. 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.- Collaborate with team members to brainstorm innovative ideas and approaches.- Conduct thorough testing and validation of AI models to ensure optimal performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Natural Language Processing (NLP).- Strong understanding of machine learning algorithms and their applications.- Experience with cloud-based AI services and deployment strategies.- Familiarity with programming languages such as Python or Java.- Knowledge of data preprocessing techniques and data management. Additional Information:- The candidate should have minimum 3 years of experience in Natural Language Processing (NLP).- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, and GenAI models. Your role involves implementing deep learning, neural networks, chatbots, and image processing in production-ready quality solutions. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Lead the implementation of large language models in AI applications.- Research and apply cutting-edge AI techniques like deep learning and neural networks.- Design and develop AI solutions using cloud AI services.- Collaborate with cross-functional teams to integrate AI technologies into various applications. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education