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. Position Overview: As Lead Data Scientist you will join a Data Sciences team responsible for creating highly personalised offers for our Guests. You will play crucial role in designing, implementing, and optimising highly scalable machine learning solutions in production. Also, we expect you to guide the ML talent in the team on both algorithms and engineering . At an organizational level, you will conduct training sessions, present work to technical and non-technical peers/leaders, build knowledge on business priorities/strategic goals and leverage this knowledge while building requirements and solutions for each business need. About You: Preferred MS or PhD in a quantitative field Experience with developing highly distributed ML systems 8+ years of relevant experience in data science, analytics, or applied machine learning, with a strong track record of solving complex business problems through data-driven approaches. Demonstrated ability to translate business problems into analytical solutions , leveraging statistical, machine learning, or optimization techniques to drive business impact. Proven experience in designing, building, and deploying machine learning models and pipelines in production environments at scale. Collaborate cross-functionally with data engineers, product managers, and software engineers to define problem statements, design experiments, and build data solutions that deliver measurable value. Strong programming skills in Python or Java , with hands-on experience using big data technologies such as Hadoop or Spark. Familiarity with machine learning libraries and frameworks like TensorFlow, PyTorch, or Keras is a plus. Ability to communicate complex technical concepts and results clearly to both technical and non-technical stakeholders, using visualizations, dashboards, and storytelling techniques. Proactive and results-oriented , capable of driving projects independently and delivering under tight deadlines. A collaborative team player with experience working across global teams and contributing to a shared vision. Demonstrated experience in mentoring junior data scientists or analysts , fostering a culture of learning and innovation. 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

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. Pyramid Overview As a Sr Engineer in Data Sciences , y ou will play crucial role in designing, implementing, and optimizing the AI solutions in production. Additionally, you ll apply best practices in software design, participate in code reviews, create a maintainable well-tested codebase with relevant documentation. We will look to you to understand and actively follow foundational programming principles (best practices, know about unit tests, code organization, basics of CI/CD etc.) and create a well-maintainable & tested codebase with relevant documentation. You will get the opportunity to develop in one or more approved programming languages (Java, Scala, Python, R), and learn and adhere to best practices in data analysis and data understanding. Team Overview The Competitive Intelligence Data Sciences team at Target builds Data Science models in service of leveraging competitive information for various decisioning . The team plays a crucial role in helping Target stay competitive across various business functions. Position Overview For this specific role, you will be responsible for deploying and maintaining language models i n partnership with the cross functional technology team that spans across Product engineering, Data engineering & Data analytics . You will need to diagnose model performance, review summary statistics and iteratively improve the quality of the downstream decisions. About You: 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience MS in Computer Science, Applied Mathematics, Statistics, Physics or equivalent work or industry experience 4 plus years of experience in end-to-end application development, data exploration, data pipelining, API design, optimization of model latency Strong expertise in working with text data, embeddings, building & deploying NLP solutions and integrating with LLM services Expertise in MLOps frameworks and hands on experience in MLOps tools 2 plus years of experience building and deploying AI/ML algorithms into production environments - including model and system monitoring and troubleshooting Highly proficient in programming with Spark (Python and/or Scala) Good understanding of Big Data and Distributed Architecture- specifically Hadoop, Hive, Spark, Docker, Kubernetes and Kafka Excellent communication skills with the 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 global team Understanding of retail industry is added advantage Bonus Points: Experience with Deep Learning frameworks TensorFlow, Pytorch or Keras Experience developing highly distributed AI/ML systems at scale Experience with Vertex AI Experience in mentoring the junior team members ML skillset and career development Experience in handling streaming data and setting up real-time services Know More about Us here: Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits https://india.target.com/life-at-target/belonging

Job Information Job Opening ID ZR_2200_JOB Date Opened 15/04/2024 Industry Technology Job Type Work Experience 5-8 years Job Title AI/ML Engineer City Chennai Province Tamil Nadu Country India Postal Code 600004 Number of Positions 4 Experience in CI/CD pipelines, scripting languages, and a deep understanding of version control systems (e.g. Git), containerization (e.g. Docker), and continuous integration/deployment tools (e.g. Jenkins) third party integration is a plus, cloud computing platforms (e.g. AWS, GCP, Azure), Kubernetes and Kafka. Experience in 4+ years of experience building production-grade ML pipelines. Proficient in Python and frameworks like Tensorflow, Keras, or PyTorch. Experience with cloud build, deployment, and orchestration tools Experience with MLOps tools such as MLFlow, Kubeflow, Weights & Biases, AWS Sagemaker, Vertex AI, DVC, Airflow, Prefect, etc., Experience in statistical modeling, machine learning, data mining, and unstructured data analytics. Understanding of ML Lifecycle, MLOps & Hands on experience to Productionize the ML Model Detail-oriented, with the ability to work both independently and collaboratively. Ability to work successfully with multi-functional teams, principals, and architects, across organizational boundaries and geographies. Equal comfort driving low-level technical implementation and high-level architecture evolution Experience working with data engineering pipelines. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

Job Information Job Opening ID ZR_2452_JOB Date Opened 05/04/2025 Industry IT Services Job Type Work Experience 3-5 years Job Title Ai engineer City Bangalore South Province Karnataka Country India Postal Code 560066 Number of Positions 1 ModalityFull time, work from office Job Responsibilities: To develop LLM - driven products from the groundup, we are looking for enthusiastic members who would like to design cutting edge systems and implement AI solutions that scale globally Strong communication skills Problem solving abilities Strong programming background Understanding of Transformer architecture Required Qualifications: 3+ years of hands on experience in AI/ML with proven projects using Transformers (eg., BERT, GPT, T5, VITs, Small LLMs) Strong proficiency in Python and deep learning frameworks (PyTorch or TensorFlow) Ability to independently analyze open sources and code repositories Experience in fine-tuning Transformer models for NLP (e.g., text classification, summarization) or Computer Vision (e.g., image generation, recognition) Knowledge of GPU acceleration, optimization techniques, and model quantization Experience in deploying models using Flask, FastAPI, or cloud-based inference services Familiarity with data pre-processing, feature engineering, and training workflows check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

Job Description Goldman Sachs is looking for an experienced Applied Researcher to join the AI Research team. As an Applied Researcher, you will be responsible for defining, designing, developing and evaluating language models for financial use cases. Your expertise in Machine Learning (ML) and Natural Language Processing (NLP) will be crucial for the development of AI-driven solutions in the financial domain, as well as for the research of applying state-of-the-art Language Modelling techniques. In this role, you will have the chance to work with various teams across different divisions on groundbreaking projects that leverage Large Language Models (LLMs) and other NLP techniques to analyze and process a plethora of financial documents. As an Applied Researcher, you will address the specific challenges that arise when applying these techniques to the financial sector and push the state-of-the-art in AI for finance. Responsibilities Will Include Create and implement scalable NLP-based solutions to enable business activities. Perform experiments to evaluate and enhance the efficiency and effectiveness of existing models. Implement and analyze state-of-the-art NLP solutions and adapt them in a financial context. Develop, test, and maintain high-quality, production-ready code. Demonstrate technical leadership by taking charge of cross-team projects. Articulate ideas and findings clearly in both spoken and written forms across different departments. Represent Goldman Sachs at conferences and within open-source communities. Collaborate effectively with colleagues to advance production machine-learning systems and applications. Required Qualifications A Bachelor’s, Master's or PhD degree in Computer Science, Machine Learning, Mathematics, Engineering, or equivalent relevant industry experience. Preferably 3 years AI/ML industry experience for Bachelor’s/Masters, 1 year for PhD with a focus on Language Models and NLP. Programming experience in Python and strong knowledge of data structures, algorithms, and software engineering practices. Excellent understanding of NLP techniques/algorithms, and experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras. Strong verbal and written communication skills. Curiosity, ownership and willingness to work in a collaborative environment. Prior experience in a finance industry is a plus About Goldman Sachs At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Show more Show less

Excellent Python programming and debugging skills. (Refer to Pytho JD given below) - Proficiency with SQL, relational databases, & non-relational databases - Passion for API design and software architecture. - Strong communication skills and the ability to naturally explain difficult technical topics to everyone from data scientists to engineers to business partners - Experience with modern neural-network architectures and deep learning libraries (Keras, TensorFlow, PyTorch). - Experience unsupervised ML algorithms. - Experience in Timeseries models and Anomaly detection problems. - Experience with modern large language model (Chat GPT/BERT) and applications. - Expertise with performance optimization. - Experience or knowledge in public cloud AWS services - S3, Lambda. - Familiarity with distributed databases, such as Snowflake, Oracle. - Experience with containerization and orchestration technologies, such as Docker and Kubernetes. Managing large machine learning applications and designing and implementing new frameworks to build scalable and efficient data processing workflows and machine learning pipelines. - Build the tightly integrated pipeline that optimizes and compiles models and then orchestrates their execution. - Collaborate with CPU, GPU, and Neural Engine hardware backends to push inference performance and efficiency - Work closely with feature teams to facilitate and debug the integration of increasingly sophisticated models, including large language models - Automate data processing and extraction - Engage with sales team to find opportunities, understand requirements, and translate those requirements into technical solutions. - Develop reusable ML models and assets into production. Show more Show less

Minimum of 3 years of experience in AI-based application development and able to create Python APIs. Design, develop, and implement generative AI models using state-of-the-art techniques. Fine-tune pre-existing models to improve performance and accuracy. Develop and implement generative AI models with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. Architect and develop advanced generative AI solutions leveraging state-of-the-art language models (LLMs) such as GPT, LLaMA, PaLM, BLOOM, and others. Implement frameworks like LangChain, Anthropics Constitutional AI, OpenAIs Whisper, Hugging Face, TensorFlow, PyTorch, and Prompt Engineering techniques to build robust and scalable AI applications. Optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques. Test and validate AI models to ensure they meet quality standards and fulfill business objectives. Develop and maintain APIs using Python's FastAPI, Flask, or Django for integrating AI capabilities into various systems. Design and implement machine learning models, including supervised, unsupervised, and reinforcement learning techniques. Explore and implement cutting-edge techniques like Few-Shot Learning, Reinforcement Learning, Multi-Task Learning, and Transfer Learning for AI model training and fine-tuning. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Optimize AI models for performance, efficiency, and scalability, ensuring seamless integration with cloud platforms like AWS, Google Cloud, or Azure. Develop and maintain AI-based applications and systems for industries such as Healthcare, Real Estate, and Fintech. Ensure the scalability, reliability, and performance of AI-based applications and systems. Stay updated with the latest advancements in AI and Machine Learning technologies and integrate innovative approaches for sustained competitive advantage. Expertise in Python programming and frameworks like FastAPI, Django etc Experience with TensorFlow, Keras, PyTorch, and other deep learning frameworks. Strong understanding and experience with open-source multimodal LLM models like OpenAI API, Gemini, VertexAI, Function calling, Open CV to customize and create solutions. Experience with cloud-based AI services such as AWS, Azure, or Google Cloud Platform. Knowledge of LangChain, Anthropics Constitutional AI, and Prompt Engineering techniques. Experience with Few-Shot Learning, Reinforcement Learning, Multi-Task Learning, and Transfer Learning. A proven track record of delivering impactful AI-driven solutions. The ideal candidate will possess a strong technical and problem-solving mindset, capable of translating business requirements into technical solutions. Job Type: Full-time Pay: ₹700,000.00 - ₹1,000,000.00 per year Benefits: Health insurance Provident Fund Location Type: In-person Schedule: Fixed shift Monday to Friday Experience: total work: 3 years (Preferred) Work Location: In person

Job Summary: We are seeking an experienced and motivated Machine Learning Engineer with 3-5 years of experience in designing, developing, and deploying machine learning models. The ideal candidate must be well-versed in Python, SQL/MySQL, ML libraries, and cloud deployment using Google Cloud Platform (GCP). This role is ideal for candidates passionate about solving real-world problems using AI and ML technologies. Key Responsibilities: Build, train, evaluate, and deploy scalable machine learning models. Perform data preprocessing, feature engineering, and pipeline development. Design end-to-end ML workflows from model development to deployment on GCP. Leverage GCP tools such as Vertex AI, BigQuery, Cloud Functions, AI Platform, etc. Work with SQL/MySQL databases for data extraction and manipulation. Collaborate with cross-functional teams including data engineers, software developers, and business stakeholders. Monitor and optimize deployed models for performance and accuracy. Ensure model reproducibility, versioning, and documentation. Required Skills: Strong proficiency in Python and popular ML libraries (scikit-learn, TensorFlow, Keras, PyTorch, XGBoost, Pandas, NumPy). Experience with SQL and MySQL. Solid understanding of ML algorithms and data handling techniques. Hands-on experience with GCP services: Vertex AI BigQuery Cloud Storage AI Platform Cloud Functions Experience in model deployment using Flask, FastAPI, or similar frameworks. Proficient in data visualization using Matplotlib, Seaborn, or similar tools. Familiarity with Git, CI/CD, and Agile practices. Preferred Qualifications: GCP Certification (e.g., Professional Machine Learning Engineer or Data Engineer). Experience with ML Ops tools. Exposure to Docker and Kubernetes. Familiarity with Big Data tools like Apache Spark or Hadoop. Perks & Benefits: 5-day working week Competitive salary and performance-based incentives Learning & development opportunities Dynamic and growth-driven work environment Job Type: Full-time Pay: ₹600,000.00 - ₹800,000.00 per month Schedule: Day shift Work Location: In person

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What You’ll Be Doing As a Principal (AI Scientist) you will own and perform specific analytics tasks and lead and drive end to end solutions for AI/ML use cases Designing and building scalable machine learning models to meet the needs of given Business engagement. Provide technical thought leadership on model architecture, delivery, monitoring, measurement and model lifecycle best practices. Working in collaborative environment with global teams to drive solutioning of business problems. Developing end to end analytical solutions, and articulating insights to leadership. Provide data-driven recommendations to business by clearly articulating complex modeling concepts through generation and delivery of presentations. Analyzing and model both structured and unstructured data from a number of distributed client and publicly available sources. Assisting with the mentorship and development of Junior members. Drive team towards solutions. Assisting in growing data science practice in Verizon, by meeting business goals through client prospecting, responding to model POC, identifying and closing opportunities within identified Insights, writing white papers, exploring new tools and defining best practices. What We’re Looking For… You have strong analytical and coding skills, eager to work in a collaborative environment with global teams to drive AI/ML application in business problems, develop end to end AI driven solutions and communicate insights and findings to leadership. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and are able to interact with various stakeholders and global cross functional teams to implement data science driven business solutions. You take pride in your role as a data scientist and evangelist and enjoy adding to the systems, concepts and models that enrich the practice. You’ll Need To Have Bachelor’s degree or four or more years of work experience. Six or more years of relevant work experience. Experience in implementing production use cases in the area of time-series forecasting and optimization. Experience in building large scale time-series forecasting solutions with proven business benefits. Experience with Deep Learning and application of transformer based architecture for various NLP, image or other use cases. Experience with diverse inputs, including (but not limited to) text, clickstream and sequential data. Working knowledge of packages like Pytorch, Keras and Tensorflow. Experience in machine learning, deep learning, and statistical modeling techniques. Experience in programming skills in Python or other related languages. Experience with natural language processing, computer vision, or audio processing. Experience in designing and implementing forecasting and optimizing algorithms, demonstrated through publications, projects, or industry experience. Even better if you have one or more of the following: Master's degree. Experience in writing and publishing original white papers in data science. Experience of working in AI projects in telecom domain. Experience in working on cloud platforms like GCP Problem-solving skills and ability to work on complex, open-ended research problems. Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams. Self-motivated, proactive, and able to manage multiple tasks and priorities in a fast-paced environment. If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. #AI&D Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics. Show more Show less

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What You'll Be Doing… As a Engineer 3 - Specialist (AI Science) you will own and perform specific analytics tasks and lead and drive end to end solutions for AI/ML use cases with guidance from lead / manager. Building and deploying Statistical/Machine Learning/Deep Learning based models according to business requirements Contributing to model design including algorithm selection, feature requirements, model and use case validation Analyzing structured and unstructured data using data mining/statistical/machine learning/deep learning tools, Data visualization, Digital/Web analytics tools and techniques and storytelling. Performing tasks related to Operationalization - eg. wrapper script, REST service, Trigger, Monitoring etc. Preparing all the supporting documents and reports. Guiding other members in the team on technical aspects as needed. What We’re Looking For You have strong analytical and coding skills, and are eager to work in a collaborative environment with global teams to drive ML application in business problems, develop end to end analytical solutions and communicate insights and findings to leadership. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and are able to interact with various partners and multi-functional teams to implement data science driven business solutions. You'll Need To Have Bachelor's degree or four or more years of work experience. Four or more years of relevant work experience. Experience in multi-modal modeling, including experience with frameworks such as TensorFlow, PyTorch, or Keras. Proficiency in machine learning, deep learning, and statistical modeling techniques. Solid programming skills in Python or other relevant languages. Experience with natural language processing, computer vision, or audio processing is highly desirable. Familiarity with cognitive AI techniques, such as reasoning, knowledge graphs, or symbolic reasoning, is a plus. Proven track record of designing and implementing successful multi-modal models and algorithms, demonstrated through publications, projects, or industry experience. Even better if you have one or more of the following: Advanced degree in Computer Science, Data Science, Machine Learning, or a related field. Experience working on cloud platforms like GCP Experience in building AI models for telecom businesses Strong problem-solving skills and ability to work on complex, open-ended research problems. Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams. Self-motivated, proactive, and able to manage multiple tasks and priorities in a fast-paced environment. If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. #AI&D Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics. Show more Show less

We are seeking a skilled Lead Software Engineer to join our team and lead a project focused on developing GenAI applications using Large Language Models (LLMs) and Python programming . In this role, you will be responsible for designing and optimizing Al-generated text prompts to maximize effectiveness for various applications. You will also collaborate with cross-functional teams to ensure seamless integration of optimized prompts into the overall product or system. Your expertise in prompt engineering principles and techniques will allow you to guide models to desired outcomes and evaluate prompt performance to identify areas for optimization and iteration. Responsibilities Design, develop, test and refine AI-generated text prompts to maximize effectiveness for various applications Ensure seamless integration of optimized prompts into the overall product or system Rigorously evaluate prompt performance using metrics and user feedback Collaborate with cross-functional teams to understand requirements and ensure prompts align with business goals and user needs Document prompt engineering processes and outcomes, educate teams on prompt best practices and keep updated on the latest AI advancements to bring innovative solutions to the project Requirements 7 to 12 years of relevant professional experience Expertise in Python programming including experience with Al/machine learning frameworks like TensorFlow, PyTorch, Keras, Langchain, MLflow, Promtflow 2-5 years of working knowledge of NLP and LLMs like BERT, GPT-3/4, T5, etc. Knowledge of how these models work and how to fine-tune them Expertise in prompt engineering principles and techniques like chain of thought, in-context learning, tree of thought, etc. Knowledge of retrieval augmented generation (RAG) Strong analytical and problem-solving skills with the ability to think critically and troubleshoot issues Excellent communication skills, both verbal and written in English at a B2+ level for collaborating across teams, explaining technical concepts, and documenting work outcomes Show more Show less

Description Title: ML Engineer Location: India, Remote EGNYTE YOUR CAREER. SPARK YOUR PASSION. Role Egnyte is a place where we spark opportunities for amazing people. We believe that every role has meaning, and every Egnyter should be respected. With 17,000 customers worldwide and growing, you can make an impact by protecting their valuable data. When joining Egnyte, you’re not just landing a new career, you become part of a team of Egnyters who doers, thinkers, and collaborators are who embrace and live by our values: Invested Relationships Fiscal Prudence Candid Conversations About Egnyte Egnyte is the secure multi-cloud platform for content security and governance that enables organizations to better protect and collaborate on their most valuable content. Established in 2008, Egnyte has democratized cloud content security for more than 22,000 organizations, helping customers improve data security, maintain compliance, prevent and detect ransomware threats, and boost employee productivity on any app, any cloud, anywhere. For more information, visit www.egnyte.com . The Opportunity We are looking for an experienced engineer who will help us to design, develop, and deploy machine learning & deep learning models in production, with a strong focus on NLP solutions. The core of the work will be focused on providing technical leadership for the development of NLP projects. Besides tasks associated with developing models into production, an important part of the work concerns the development of appropriate approaches and tools to ensure the professional management of our models in production. Finally, transferring knowledge, providing technical expertise to the team members, and helping shape up the team is an integral part of the job. Your Day-to-day At Egnyte Supervising the full development of machine learning & deep learning projects, from design to deployment and maintenance Providing technical leadership for the development of NLP projects Reviewing state-of-the-art machine learning & deep learning technologies/models with a strong focus on NLP Evaluating potential ML solutions and choosing the most appropriate ones depending on technical and business needs, in close collaboration with our Product team Defining the architecture of machine learning-based projects, including integrations with other Egnyte products Supporting the whole lifecycle of our machine learning models, including gathering data for (re)training, A/B testing, deployment, monitoring, retraining, and redeployments Working closely within a distributed team to analyze and apply innovative solutions over billions of documents Communicating your approach and results to a wider audience through articles and presentations About You Documented technical excellence in NLP Demonstrated success with machine learning & deep learning in a SaaS or Cloud environment, with hands–on knowledge of model creation and deployments in production at scale Advanced communication skills, especially with regards to knowledge transfer Ability to provide mentorship and team support Fluency in at least one deep learning framework: PyTorch, TensorFlow / Keras Advanced knowledge of the HuggingFace libraries (transformers and tokenizers) or the Fairseq library Fluency in Python, Docker, Kubernetes, Helm Solid English skills to effectively communicate with other team members Bonus Skills Experience with large datasets and distributed computing, especially with the Google Cloud Platform Good understanding of advanced analytical modeling and statistical forecasting techniques Knowledge of Java, Scala or Go-Lang programming languages Familiarity with Kubeflow Experience with OpenCV Names containing “BERT” are very welcomed ;-) Benefits Competitive salaries Medical insurance and healthcare benefits for you and your family Fully paid premiums for life insurance Flexible hours and PTO Mental wellness platform subscription Gym reimbursement Childcare reimbursement Group term life insurance Commitment To Diversity, Equity, And Inclusion At Egnyte, we celebrate our differences and thrive on our diversity for our employees, our products, our customers, our investors, and our communities. Egnyters are encouraged to bring their whole selves to work and to appreciate the many differences that collectively make Egnyte a higher-performing company and a great place to be. Show more Show less

We are seeking a skilled Lead Software Engineer to join our team and lead a project focused on developing GenAI applications using Large Language Models (LLMs) and Python programming . In this role, you will be responsible for designing and optimizing Al-generated text prompts to maximize effectiveness for various applications. You will also collaborate with cross-functional teams to ensure seamless integration of optimized prompts into the overall product or system. Your expertise in prompt engineering principles and techniques will allow you to guide models to desired outcomes and evaluate prompt performance to identify areas for optimization and iteration. Responsibilities Design, develop, test and refine AI-generated text prompts to maximize effectiveness for various applications Ensure seamless integration of optimized prompts into the overall product or system Rigorously evaluate prompt performance using metrics and user feedback Collaborate with cross-functional teams to understand requirements and ensure prompts align with business goals and user needs Document prompt engineering processes and outcomes, educate teams on prompt best practices and keep updated on the latest AI advancements to bring innovative solutions to the project Requirements 7 to 12 years of relevant professional experience Expertise in Python programming including experience with Al/machine learning frameworks like TensorFlow, PyTorch, Keras, Langchain, MLflow, Promtflow 2-5 years of working knowledge of NLP and LLMs like BERT, GPT-3/4, T5, etc. Knowledge of how these models work and how to fine-tune them Expertise in prompt engineering principles and techniques like chain of thought, in-context learning, tree of thought, etc. Knowledge of retrieval augmented generation (RAG) Strong analytical and problem-solving skills with the ability to think critically and troubleshoot issues Excellent communication skills, both verbal and written in English at a B2+ level for collaborating across teams, explaining technical concepts, and documenting work outcomes Show more Show less

Additional Locations: India-Maharashtra, Pune Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance At Boston Scientific, we’ll give you the opportunity to harness all that’s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we’ll help you in advancing your skills and career. Here, you’ll be supported in progressing – whatever your ambitions. About The Role Data Scientist will work with a small team of data scientists developing and deploying Deep Learning models to interpret biologic signals on ambulatory patients to improve patient outcomes. The team has developed a large volume of diverse and accurate data for training and validation and works closely with experts in this domain. Key Responsibilities Develop models and infrastructure to interpret biologic signals and other business data Validation and documentation of models for production deployment Support production deployment and monitoring of models Publishing research in support of business needs Developing and documenting intellectual property Lead/Support systems investigations and research activities to define and/or understand how systems interface with biological systems. Prepares standard reports/documentation to communicate status and results. Supports FDA/QSR requirements by assisting in the creation of specifications and qualifications. Influences and defines functional, departmental/divisional procedures through involvement with cross-functional engineering initiatives. Demonstrated cross function teamwork in a technically demanding environment Supports system risk management activities, Use/Design FMEA’s, risk/hazard analysis. Mentors engineers in engineering activities/methodologies and domain knowledge. Qualification & Required Skills Bachelor’s degree in engineering or equivalent (BE, B Tech, MCA, MSc, M Tech) Minimum 10+ years of industry experience. Minimum 5+ years of experience in Analytics with 3+ years of experience in Python Demonstrated cross function teamwork in a technically demanding environment Experience in regulated product development environment, particularly for medical devices, a plus. Highly accountable and responsible. Self-starting, self-motivated, self-directed, and self-sufficient. Familiar with Agile development methodologies. Excellent Communication, presentation and interpersonal skills with proficiency in English (verbal and written). Preferred Qualifications ECG / PPG device experience Experience with deep learning toolkits (Tensorflow, PyTorch, Keras, etc) Experience with Azure Cloud technologies (Azure Storage, Azure Service Bus, etc) Experience with containerization technologies (Kubernetes, Docker, Helm, etc) Demonstrated use of source control tools (Git) Experience with regulatory validation processes for software as a medical device Requisition ID: 607048 As a leader in medical science for more than 40 years, we are committed to solving the challenges that matter most – united by a deep caring for human life. Our mission to advance science for life is about transforming lives through innovative medical solutions that improve patient lives, create value for our customers, and support our employees and the communities in which we operate. Now more than ever, we have a responsibility to apply those values to everything we do – as a global business and as a global corporate citizen. So, choosing a career with Boston Scientific (NYSE: BSX) isn’t just business, it’s personal. And if you’re a natural problem-solver with the imagination, determination, and spirit to make a meaningful difference to people worldwide, we encourage you to apply and look forward to connecting with you! Show more Show less

Job Title: Machine Learning (ML) Engineer 📍 Location: Jaipur (On-site) 🕒 Experience Required: 3 to 5 Years 🚀 Availability: Immediate Joiner 💼 Employment Type: Full-time Job Summary: We are seeking an experienced and motivated Machine Learning Engineer with 4+ years of experience in designing, developing, and deploying machine learning models. The ideal candidate must be well-versed in Python, SQL/MySQL, ML libraries, and cloud deployment using Google Cloud Platform (GCP). This role is ideal for candidates passionate about solving real-world problems using AI and ML technologies. Key Responsibilities: Build, train, evaluate, and deploy scalable machine learning models. Perform data preprocessing, feature engineering, and pipeline development. Design end-to-end ML workflows from model development to deployment on GCP. Leverage GCP tools such as Vertex AI, BigQuery, Cloud Functions, AI Platform, etc. Work with SQL/MySQL databases for data extraction and manipulation. Collaborate with cross-functional teams including data engineers, software developers, and business stakeholders. Monitor and optimize deployed models for performance and accuracy. Ensure model reproducibility, versioning, and documentation. Required Skills: Strong proficiency in Python and popular ML libraries (scikit-learn, TensorFlow, Keras, PyTorch, XGBoost, Pandas, NumPy). Experience with SQL and MySQL. Solid understanding of ML algorithms and data handling techniques. Hands-on experience with GCP services: Vertex AI BigQuery Cloud Storage AI Platform Cloud Functions Experience in model deployment using Flask, FastAPI, or similar frameworks. Proficient in data visualization using Matplotlib, Seaborn, or similar tools. Familiarity with Git, CI/CD, and Agile practices. Preferred Qualifications: GCP Certification (e.g., Professional Machine Learning Engineer or Data Engineer). Experience with ML Ops tools. Exposure to Docker and Kubernetes. Familiarity with Big Data tools like Apache Spark or Hadoop. Perks & Benefits: 5-day working week Competitive salary and performance-based incentives Learning & development opportunities Dynamic and growth-driven work environment How to Apply: Send your updated resume to shubham@vidhema.com Show more Show less

AI Solutions Architect with total of around 10-15 years of experience and atleast 5-8 years of relevant data science, analytics and AI/ML. • Develop strategies/solutions to solve problems in logical yet creative ways, leveraging state-of-the-art machine learning, deep learning and GEN AI techniques. • Technically lead a team of data scientists to produce project deliverables on time and with high quality. • Identify and address client needs in different domains, by analyzing large and complex data sets, processing, cleansing, and verifying the integrity of data, and performing exploratory data analysis (EDA) using state-of-the-art methods. • Select features, build and optimize classifiers/regressors, etc. using machine learning and deep learning techniques. • Enhance data collection procedures to include information that is relevant for building analytical systems, and ensure data quality and accuracy. • Perform ad-hoc analysis and present results in a clear manner to both technical and non-technical stakeholders. • Create custom reports and presentations with strong data visualization and storytelling skills to effectively communicate analytical conclusions to senior officials in a company and other stakeholders. • Expertise in data mining, EDA, feature selection, model building, and optimization using machine learning and deep learning techniques. • Strong programming skills in Python. • Excellent communication and interpersonal skills, with the ability to present complex analytical concepts to both technical and non-technical stakeholders. Primary Skills : - Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision and GEN AI. Good applied statistics skills, such as distributions, statistical inference & testing, etc. - Excellent understanding and hand-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc). - Proficient in coding in common data science language & tools such as R, Python. - Experience with common data science toolkits, such as NumPy, Pandas, Matplotlib, StatsModel, Scikitlearn, SciPy, NLTK, Spacy, OpenCV etc. - Experience with common data science frameworks such as Tensorflow, Keras, PyTorch, XGBoost,etc. - Exposure or knowledge in cloud (Azure/AWS). - Experience on deployment of model in production. Standard Skills: In-depth understanding of manufacturing workflows, production planning, and quality control. Familiarity with ISA-95 and ISA-88 standards for manufacturing systems. Experience working with shop floor automation and IoT devices. Good To have skills: MES Certifications, AI/ML, regulatory experience, and emerging technologies like IoT or edge computing. Show more Show less

We are looking for a creative and driven AI/ML Engineer to design, develop, and deploy advanced machine learning models. You will work on transformers (e.g., GPT , BERT ), OpenAI models, and other deep learning solutions for real-world applications. If you're ready to push boundaries in AI, we want to hear from you! Experience Required: Minimum 1 Year Mode of Work: On-Site Only (Mohali, Punjab) Contact for Queries: +91-9872993778 (Mon–Fri, 11 AM – 6 PM) Note: This number will be unavailable on weekends and public holidays. Key Responsibilities: Develop LLMs (e.g., GPT , BERT ) for NLP tasks such as text generation, summarization, and language translation. Build and optimize deep learning models for Generative AI applications in areas such as image , text , and speech generation . Apply reinforcement learning , unsupervised learning , and semi-supervised learning techniques to enhance model performance. Experiment with cutting-edge models such as GANs , diffusion models , and OpenAI models for generative tasks and advancements in AI. Collaborate with cross-functional teams to integrate AI/ML solutions into production using cloud platforms (e.g., AWS , GCP , Azure ). Stay up-to-date with the latest advancements in AI/ML, including emerging trends in NLP , transformers , and generative models . Handle large-scale datasets, performing data preprocessing , feature engineering , and model evaluation to ensure high-quality solutions. Present your findings and innovative solutions to both technical and non-technical audiences. Requirements: Degree in Computer Science , Data Science , Machine Learning , or a related field. Proven experience in building and deploying AI/ML models , with a strong foundation in deep learning and machine learning techniques. Proficiency in programming languages such as Python . Expertise in LLMs (e.g., GPT , BERT ) and transformer architectures . Experience with OpenAI APIs and models (e.g., GPT3 , GPT4 , GPT4o , ). Hands-on experience with deep learning frameworks like TensorFlow , PyTorch , Keras , and Scikit-learn . Solid knowledge of NLP , computer vision , and other key AI sub-domains . Experience deploying and scaling models on cloud platforms (AWS, GCP, Azure). Strong problem-solving and analytical thinking skills. Preferred Qualifications: Hands-on experience with Generative AI models (e.g., GANs , Diffusion Models ). Experience with real-time deployment of LLMs in applications such as chatbots , virtual assistants , and language translation . Familiarity with OpenAI's products, tools, and APIs. Experience with containerization (e.g., Docker ). Research publications or contributions to open-source AI projects are a plus. Experience : Minimum of 1 YEAR Experience. Mode of Work : On-site For queries, contact : +91 -9872993778 (Mon-Fri, 11 AM - 6 PM). Note :- This number will be unavailable on weekends and public holidays. Job Types: Full-time, Permanent Pay: From ₹20,000.00 per month Schedule: Monday to Friday Application Question(s): How many years of experience do you have as AI/ML Engineer Work Location: In person

Omega Healthcare Management Services Private Limited TAMIL NADU Posted On 05 Jun 2025 End Date 19 Jun 2025 Required Experience 5 - 8 Years Basic Section No. Of Openings 1 Grade T2 Designation Technology Specialist - Technology Closing Date 19 Jun 2025 Organisational Country IN State TAMIL NADU City CHENNAI Location Chennai-I Skills Skill SDLC PL/SQL SOLUTION ARCHITECTURE JAVA UNIX .NET SOA MICROSOFT SQL SERVER SQL ASP.NET Education Qualification No data available CERTIFICATION No data available Job Description Role : Data Scientist Educational Qualification : ME/BE / MCA Experience Required : 4+ Years Shifts : Day shift Skills & Responsibilities: Experience: 4+ years in machine learning, deep learning, or generative AI. Programming & Frameworks: Strong Python scripting with Pandas, NumPy, OOPs concepts. Experience with PyTorch, TensorFlow, Keras, Hugging Face Transformers. Proficiency in SQL queries when needed. Generative AI & NLP: Experience with LLMs, GANs, VAEs, Diffusion Models. Familiarity with OpenAI GPT, DALL·E, Stable Diffusion. Deep knowledge of NLP techniques & deep learning architectures (RNN, CNN, LSTM, GRU). Machine Learning & Statistics: Understanding of ML/DL algorithms, statistical analysis, and feature engineering. Theoretical knowledge of Random Forest, SVM, Boosting, Bagging, Regression (Linear & Logistic), and Unsupervised Learning. MLOps & Deployment: Familiarity with Cloud platforms (AWS, Azure, GCP). Experience in MLOps, CI/CD, Docker, Kubernetes. Comfortable with Linux systems and GPU-based deep learning. Research & Ethics: Contributions to AI research, open-source projects, or Kaggle competitions. Awareness of AI ethics, bias mitigation, and model interpretability. Soft Skills & Work Environment: Ability to work independently and deliver results. Experience in an agile development environment. Knowledge of computer vision is a plus.

Category: Infrastructure/Cloud Main location: India, Karnataka, Bangalore Position ID: J0525-1644 Employment Type: Full Time Position Description: Company Profile: Founded in 1976, CGI is among the largest independent IT and business consulting services firms in the world. With 94,000 consultants and professionals across the globe, CGI delivers an end-to-end portfolio of capabilities, from strategic IT and business consulting to systems integration, managed IT and business process services and intellectual property solutions. CGI works with clients through a local relationship model complemented by a global delivery network that helps clients digitally transform their organizations and accelerate results. CGI Fiscal 2024 reported revenue is CA$14.68 billion and CGI shares are listed on the TSX (GIB.A) and the NYSE (GIB). Learn more at cgi.com. Job Title: Machine Learning Engineer Position: Senior Systems Engineer Experience: 3-8 years Category: Software Development/ Engineering Shift: 12:30 AM IST to 9:30 PM IST Main location: Bangalore Position ID: J0525-1644 Employment Type: Full Time Education Qualification: Bachelor's degree in Computer Science or related field or higher with minimum 3 years of relevant experience. Position Description:. Must have skills : Must have experience in Programming Language (Python, R). Machine learning frameworks: scikit-learn, TensorFlow, PyTorch, or Keras. NLP Libraries : NLTK, spaCy, or Stanford CoreNLP. Data analysis and visualization tools: Pandas, NumPy, Matplotlib, or Seaborn. Experience with cloud-based platforms: AWS, Azure, or Google Cloud. Must have 3+ years of relevant experience in machine learning, NLP, or a related field. Experience with automated process development, deployment, and maintenance. Should be familiar with ticketing systems and auditing processes is a plus. Soft Skills : Excellent communication and collaboration skills. Ability to work in a fast-paced environment and adapt to changing requirements. Strong problem-solving skills and attention to detail. Good to have skills : 1. Experience with containerization: Docker, Kubernetes, or other containerization tools. 2. Familiarity with DevOps practices: Agile development, continuous integration, and continuous deployment. 3. Knowledge of IT service management: ITIL, COBIT, or other IT service management frameworks. 4. Certifications: Certified Data Scientist, Certified Machine Learning Engineer, or other relevant certifications. CGI is an equal opportunity employer. In addition, CGI is committed to providing accommodation for people with disabilities in accordance with provincial legislation. Please let us know if you require reasonable accommodation due to a disability during any aspect of the recruitment process and we will work with you to address your needs. Life at CGI: It is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because… You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons Come join our team, one of the largest IT and business consulting services firms in the world Skills: Artificial Intelligence Cloud Computing Data Analysis English Natural Language Processing Python What you can expect from us: Together, as owners, let’s turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because… You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction. Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team—one of the largest IT and business consulting services firms in the world.

Responsibilities: * Design and implement AI solutions using GML, Neo4J, ArangoDB, LangChain, LLamaIndex, RAG. * Collaborate with cross-functional teams on ML projects with Python, PySpark, Pytorch, R, SQL.

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 18 year(s) of experience is required Educational Qualification 15 years full time education SummaryAs an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, with a proper cloud or on-prem application pipeline of production-ready quality. You will apply GenAI models as part of the solution, incorporating deep learning, neural networks, chatbots, and image processing into your workday. Roles & Responsibilities- Expected to be a SME with deep knowledge and experience.- Should have influencing and Advisory skills.- Engage with multiple teams and responsible for team decisions.- Expected to provide solutions to problems that apply across multiple teams.- Provide solutions to business area problems.- Contribute to the development of innovative AI/ML solutions.- Collaborate with cross-functional teams to implement AI models effectively.- Stay updated on the latest AI/ML trends and technologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of AI/ML algorithms and techniques.- Experience with cloud AI services and application pipelines.- Knowledge of deep learning, neural networks, and image processing.- Hands-on experience in developing AI applications.- Familiarity with GenAI models and their application. Additional Information- The candidate should have a minimum of 18 years of experience in Large Language Models.- This position is based at our Pune office.- A 15 years full-time education is required. Qualification 15 years full time education

Job Role: AI Engineer Experience: 5-8 years Location: Bangalore, India Type of Employment: Full-time, Hybrid About Cognizant Join a rapidly growing consulting and IT services Fortune 500 company with around 350,000 employees worldwide, a very flexible international business, customers that are leaders in their respective sectors, and a high level of commitment. About CAIL/ Evolutionary AI team (LEAF) : The Cognizant AI Labs were created to pioneer scientific innovation and bridge the gap to commercial applications. The AI Labs collaborate with institutions, academia and technology partners to develop groundbreaking AI solutions responsibly. The Lab’s mission is to maximize human potential with decision AI, a combination of multi-agent architectures, generative AI, deep learning, evolutionary AI and trustworthy techniques to create sophisticated decision-making systems. Through scientific publications, open-source software, AI for Good projects and the Cognizant Neuro® AI decisioning platform and Multi-Agent Accelerator, the AI Labs support our goal of improving everyday life. Your role You are an experienced data scientist and Python developer with deep experience in multiple technologies; you are driven, curious and passionate about your work; you are innovative, creative and focused on excellence; and you want to be part of an ego-free work environment where we value honest, healthy interactions and collaboration. Key responsibilities: Be customer advocate that implement our Neuro AI offering. Design, develop, and implement advanced AI models, with a focus on generative AI, agents, and foundation models for enterprise Build and maintain AI pipelines, experimentation frameworks, and reusable components for rapid prototyping and scaling. Experiment with multi-agent systems framework to create context-aware, goal driven agents integrated into workflows. Consistently deliver high-quality software and seek and develop innovative methods and processes and keep up to date on latest trends, tools and advancements in AI in the area of Evolutionary AI Collaborate with cross-disciplinary teams to conceptualize and develop AI based solutions and demos. Contribute to research publication of research and actively engage in open-source communities Assist in preparing internal technical documents, presentations, etc. Work in a highly collaborative, fast-paced environment with your peers on the Cognizant AI Labs team Your profile: Bachelor’s/Master’s in Computer Science, Data Science, or related Engineering field with emphasis on AI/EA, software development and algorithm design. 3+ years of experience in AI/ML engineering role preferred in a enterprise, research or innovation lab setting. Demonstrated experience with AI frameworks like LangChain, HuggingFace, OpenAI, Anthropic etc. Strong programming and engineering skills in Python, Numpy, Pandas, Keras, TensorFlow, PyTorch, Scikit-learn, Jupyter Notebooks, GitHub etc. Solid understanding of AI agent frameworks and strong interest in agentic AI research Active contributor to GitHub or similar platforms demonstrating AI projects, open-source contributions or published research. Ability to rapidly work with minimal supervision on projects involving both small and large teams Ability to work autonomously and prioritize multiple tasks Cloud environments for processing big data (AWS, Azure, Google cloud) Deep knowledge of relational, structured, semi-structured and unstructured data systems, and the experience to know when to use each type of system. Familiarity with modern commercial software development: unit tests, code reviews, secure and clean code. Excellent verbal and written communication skills in English Preferred/Highly Desirable Qualifications: Experience with RESTful services, JSON and XML metadata, Docker containers. Experience with machine learning, evolutionary algorithms a plus. Knowledge of and an appreciation for open source projects, design patterns, and enterprise architecture patterns. Research mindset with experience in publishing research work Experience in working in IT service, consulting, or client-facing roles Familiarity with cloud platforms and enterprise AI solution deployment Continuous learner with demonstrated passion for R&D and think long-term.

Job Role: AI Research Scientist Experience: 10+ years Location: Bangalore, India About Cognizant Join a rapidly growing consulting and IT services Fortune 500 company with around 350,000 employees worldwide, a very flexible international business, customers that are leaders in their respective sectors, and a high level of commitment. About CAIL: The Cognizant AI Labs were created to pioneer scientific innovation and bridge the gap to commercial applications. The AI Labs collaborate with institutions, academia and technology partners to develop groundbreaking AI solutions responsibly. The Lab’s mission is to maximize human potential with decision AI, a combination of multi-agent architectures, generative AI, deep learning, evolutionary AI and trustworthy techniques to create sophisticated decision-making systems. Through scientific publications, open-source software, AI for Good projects and the Cognizant Neuro® AI decisioning platform and Multi-Agent Accelerator, the AI Labs support our goal of improving everyday life. bout the role: We are seeking a passionate and driven AI Research Scientist to join our Advanced AI R&D lab team in India. You will work with the Advanced AI Labs research team to develop novel approaches to solving fundamental scientific problems and challenges from real-world applications, using core technologies such as LLMs, evolutionary algorithms, and other machine learning and AI techniques. As an AI Research Scientist, you will focus on advancing the state-of-the-art AI with emphasis on Generative AI, LLMs, and domain specific AI solutions. You will collaborate with other researchers, engineers, business stakeholders, architects, and domain experts to translate research breakthroughs into scalable products and solutions. Detailed Job Description: Your role: As a research scientist, you will work with the Advanced AI Labs research team to understand and push the frontiers of AI, using core technologies such as LLMs, evolutionary algorithms, and other machine learning and AI techniques. The team's current research is focused around areas including, but not limited to: Multi-agent systems AI for decision-making AI orchestration Trustworthy AI Open-ended AI LLMs Evolutionary computation Key Responsibilities: Conduct advanced research in AI/ML, Generative AI, LLMs, and adjacent fields to solve complex and impactful business and societal problems (AI-for-Good). Design, develop, and optimize models and algorithms involving novel architecture and training methodologies and advance AI capabilities. Publish research findings in top-tier peer-reviewed journals and conferences, e.g., IEEE Collaborate cross-functionally with product teams, AI engineers, domain SMEs, and client teams to transition research prototypes into production ready solutions Contribute to open-source communities through active GitHub engagement Stay abreast of the latest developments Mentor junior researchers and engineers Advise AI engineers on the development of practical applications Your Profile: PhD in Computer Science or another technical field. Exceptional bachelor’s or master’s degree candidates will also be considered. The ideal candidate will have theoretical and hands-on experience with LLMs. 2 years of experience with multi-agents 5+ years of experience in AI or ML research Publications at venues such as IEEE, ICLR, NeurIPS, GECCO, ALife, AAAI, IJCAI, ICML, etc. Strong implementation skills Strong development and debugging skills in Python Experience with AI framework such as PyTorch, TensorFlow, LangChain, Keras, Scikit-Learn Strong problem-solving and analytic skills Strong attention to detail and ability to work independently Excellent verbal and written communication skills Strong publication record in top-tier conferences, workshops or journals.

AI Data Scientist Locations: Pune, India Buildings are getting smarter with connected technologies. With more connectivity, there is access to more data from sensors installed in buildings. Johnson Controls is leading the way in providing AI enabled enterprise solutions that contribute to optimized energy utilization, auto- generation of building insights and enable predictive maintenance for installed devices. Our Data Strategy & Intelligence team is looking for a Data Scientist to join our growing team. You will play a critical role in developing and deploying machine learning/Generative AI and time series analysis models in production. The Role To be successful in this role, the Data Scientist should have a deep knowledge of machine learning concepts, Large Language Models (LLM) including their training , optimization and deployment, time series models as well as experience in developing and deploying ML/Generative AI/ time series models in production. What you will do As An AI Data Scientist At Johnson Controls, You Will Help Develop And Maintain The AI Algorithms And Capabilities Within Our Digital Products. These Applications Will Use Data From Commercial Buildings, Apply Machine Learning, GenAI Or Other Advanced Algorithms To Provide Value In The Following Ways Optimize building energy consumption, occupancy, reduce CO2 emissions, enhance users’ comfort, etc. Generate actionable insights to improve building operations Translate data into direct recommendations for various stakeholders Your efforts will ensure that our AI solutions deliver robust and repeatable outcomes through well-designed algorithms and well-written software. To be successful in this role, the AI Data Scientist should be comfortable applying machine-learning concepts to practical applications while handling the inherent challenges of real-world datasets. How you will do it Contribute as a member of the AI team with assigned tasks Collaborate with product managers to design new AI capabilities Explore and analyze available datasets for potential applications Write Python code to develop ML/Generative AI/time series prediction solutions that address complex business requirements Research and implement state-of-the-art techniques in Generative AI solutions Pre-train and finetune ML over CPU/GPU clusters while optimizing for trade-offs Follow code-quality standards and best practices in software development Develop and maintain test cases to validate algorithm correctness Assess failures to identify causes and plan fixes for bugs Communicate key results to stakeholders Leverage JIRA to plan work and track issues What we look for Bachelor's / Master’s degree in Computer Science, Statistics, Mathematics, or related field. 5+ years of experience of developing and deploying ML Models with a proven record of delivering production ready ML models. Proficiency with Python and standard ML libraries, e.g., PyTorch, Tensorflow, Keras, NumPy, Pandas, scikit-learn, Matplotlib, Transformers. Strong understanding of ML algorithms and techniques, e.g., Regression, Classification, Clustering, Deep Learning, NLP / Transformer models, LLMs and Time Series prediction models. Experience in developing SOA LLM frameworks and models (Azure OpenAI, Meta Llama, etc), advanced prompt engineering techniques, LLMs fine-tuning/training. Experience in working with cloud (AWS / GCP / Azure) based ML/GenAI model development / deployment. Excellent verbal and written communication skills. Preferred Prior Domain experience in smart buildings and building operations optimization Experience in working with Microsoft Azure Cloud. Show more Show less

Job Role: AI Engineer Experience: 5-8 years Location: Bangalore, India Type of Employment: Full-time, Hybrid About Cognizant Join a rapidly growing consulting and IT services Fortune 500 company with around 350,000 employees worldwide, a very flexible international business, customers that are leaders in their respective sectors, and a high level of commitment. About CAIL/ Evolutionary AI Team (LEAF) The Cognizant AI Labs were created to pioneer scientific innovation and bridge the gap to commercial applications. The AI Labs collaborate with institutions, academia and technology partners to develop groundbreaking AI solutions responsibly. The Lab’s mission is to maximize human potential with decision AI, a combination of multi-agent architectures, generative AI, deep learning, evolutionary AI and trustworthy techniques to create sophisticated decision-making systems. Through scientific publications, open-source software, AI for Good projects and the Cognizant Neuro® AI decisioning platform and Multi-Agent Accelerator, the AI Labs support our goal of improving everyday life. Your role You are an experienced data scientist and Python developer with deep experience in multiple technologies; you are driven, curious and passionate about your work; you are innovative, creative and focused on excellence; and you want to be part of an ego-free work environment where we value honest, healthy interactions and collaboration. Key Responsibilities Be customer advocate that implement our Neuro AI offering. Design, develop, and implement advanced AI models, with a focus on generative AI, agents, and foundation models for enterprise Build and maintain AI pipelines, experimentation frameworks, and reusable components for rapid prototyping and scaling. Experiment with multi-agent systems framework to create context-aware, goal driven agents integrated into workflows. Consistently deliver high-quality software and seek and develop innovative methods and processes and keep up to date on latest trends, tools and advancements in AI in the area of Evolutionary AI Collaborate with cross-disciplinary teams to conceptualize and develop AI based solutions and demos. Contribute to research publication of research and actively engage in open-source communities Assist in preparing internal technical documents, presentations, etc. Work in a highly collaborative, fast-paced environment with your peers on the Cognizant AI Labs team Your Profile Bachelor’s/Master’s in Computer Science, Data Science, or related Engineering field with emphasis on AI/EA, software development and algorithm design. 3+ years of experience in AI/ML engineering role preferred in a enterprise, research or innovation lab setting. Demonstrated experience with AI frameworks like LangChain, HuggingFace, OpenAI, Anthropic etc. Strong programming and engineering skills in Python, Numpy, Pandas, Keras, TensorFlow, PyTorch, Scikit-learn, Jupyter Notebooks, GitHub etc. Solid understanding of AI agent frameworks and strong interest in agentic AI research Active contributor to GitHub or similar platforms demonstrating AI projects, open-source contributions or published research. Ability to rapidly work with minimal supervision on projects involving both small and large teams Ability to work autonomously and prioritize multiple tasks Cloud environments for processing big data (AWS, Azure, Google cloud) Deep knowledge of relational, structured, semi-structured and unstructured data systems, and the experience to know when to use each type of system. Familiarity with modern commercial software development: unit tests, code reviews, secure and clean code. Excellent verbal and written communication skills in English Preferred/Highly Desirable Qualifications Experience with RESTful services, JSON and XML metadata, Docker containers. Experience with machine learning, evolutionary algorithms a plus. Knowledge of and an appreciation for open source projects, design patterns, and enterprise architecture patterns. Research mindset with experience in publishing research work Experience in working in IT service, consulting, or client-facing roles Familiarity with cloud platforms and enterprise AI solution deployment Continuous learner with demonstrated passion for R&D and think long-term. Show more Show less