116 Interpretability Jobs - Page 4

Position : Environmental Data Scientist Salary: upto ₹50000 pm Location: Ahmedabad [Only preferring candidates from Gujarat] Experience: 2+ Years we are seeking a research-driven Environmental Data Scientist to lead the development of advanced algorithms that enhance the accuracy, reliability, and performance of air quality sensor data. This role goes beyond traditional data science — it focuses on solving real-world challenges in environmental sensing, such as sensor drift, cross-interference, and data anomalies. Key Responsibilities: Design and implement algorithms to improve the accuracy, stability, and interpretability of air quality sensor data (e.g., calibration, anomaly detection, cross-interference mitigation, and signal correction) Conduct in-depth research on sensor behavior and environmental impact to inform algorithm development Collaborate with software and embedded systems teams to integrate these algorithms into cloud or edge-based systems Analyze large, complex environmental datasets using Python, R, or similar tools Continuously validate algorithm performance using lab and field data; iterate for improvement Develop tools and dashboards to visualize sensor behavior and algorithm impact Assist in environmental research projects with statistical analysis and data interpretation Document algorithm design, testing procedures, and research findings for internal use and knowledge sharing Support team members with data-driven insights and code-level contributions as needed Assist other team members with writing efficient code and overcoming programming challenges Education/Experience Required Skills & Qualifications Bachelor’s or Master’s degree in one of the following fields: Environmental Engineering / Science, Chemical Engineering, Electronics / Instrumentation Engineering, Computer Science / Data Science, Physics / Atmospheric Science (with data or sensing background) 1-2 years of hands-on experience working with sensor data or IoT-based environmental monitoring systems Strong knowledge of algorithm development, signal processing, and statistical analysis Proficiency in Python (pandas, NumPy, scikit-learn, etc.) or R, with experience handling real-world sensor datasets Ability to design and deploy models in a cloud or embedded environment. Excellent problem-solving and communication skills. Passion for environmental sustainability and clean-tech. Preferred Qualifications: Familiarity with time-series anomaly detection, sensor fusion, signal noise reduction techniques or geospatial data processing. Exposure to air quality sensor technologies, environmental sensor datasets, or dispersion modeling. For Quick Response, please fill out this fo rm https://docs.google.com/forms/d/e/1FAIpQLSeBy7r7b48Yrqz4Ap6-2g_O7BuhIjPhcj-5_3ClsRAkYrQtiA/viewform?usp=sharing&ouid=106739769571157586077 Show more Show less

Greetings from Synergy Resource Solutions, a leading Recruitment Consultancy. Our client is a Smart Air Quality Monitoring Solutions company offering data-driven environmental solutions for better decision making. Using our sensor-based hardware, we monitor various environmental parameters related to air quality, noise, odour, weather, radiation etc. Designation: - Environmental Data Scientist (Ahmedabad) Location: - Ahmedabad Experience : - 1 - 3 years Work timings: 10:00 am to 6:30 pm (5 days working) Job Description: We are seeking a research-driven Environmental Data Scientist to lead the development of advanced algorithms that enhance the accuracy, reliability, and performance of air quality sensor data. This role goes beyond traditional data science — it focuses on solving real-world challenges in environmental sensing, such as sensor drift, cross-interference, and data anomalies. Key Responsibilities: ● Design and implement algorithms to improve the accuracy, stability, and interpretability of air quality sensor data (e.g., calibration, anomaly detection, cross-interference mitigation, and signal correction) ● Conduct in-depth research on sensor behavior and environmental impact to inform algorithm development ● Collaborate with software and embedded systems teams to integrate these algorithms into cloud or edge-based systems ● Analyze large, complex environmental datasets using Python, R, or similar tools ● Continuously validate algorithm performance using lab and field data; iterate for improvement ● Develop tools and dashboards to visualize sensor behavior and algorithm impact ● Assist in environmental research projects with statistical analysis and data interpretation ● Document algorithm design, testing procedures, and research findings for internal use and knowledge sharing ● Support team members with data-driven insights and code-level contributions as needed ● Assist other team members with writing efficient code and overcoming programming challenges Required Skills & Qualifications ● Bachelor’s or Master’s degree in one of the following fields: Environmental Engineering / Science, Chemical Engineering, Electronics / Instrumentation Engineering, Computer Science / Data Science, Physics / Atmospheric Science (with data or sensing background) ● 1-2 years of hands-on experience working with sensor data or IoT-based environmental monitoring systems ● Strong knowledge of algorithm development, signal processing, and statistical analysis ● Proficiency in Python (pandas, NumPy, scikit-learn, etc.) or R, with experience handling real-world sensor datasets ● Ability to design and deploy models in a cloud or embedded environment. ● Excellent problem-solving and communication skills. ● Passion for environmental sustainability and clean-tech. Preferred Qualifications: ● Familiarity with time-series anomaly detection, sensor fusion, signal noise reduction techniques or geospatial data processing. ● Exposure to air quality sensor technologies, environmental sensor datasets, or dispersion modeling. Benefits: Competitive salary and benefits package Opportunities for professional growth and development A dynamic and collaborative work environment If your profile is matching with the requirement & if you are interested for this job, please share your updated resume with details of your present salary, expected salary & notice period. Show more Show less

🚀 What we’re building CodeRound AI matches top 5% tech talent to fastest growing VC funded AI startups in Silicon Valley and India. Candidates apply once and get UPTO 20 remote as well as onsite interview opportunities IF selected! T op-tier product startups in US, UAE & India have hired top engineers & ML folk using CodeRound 🧩 What you'll do Design, build, and iterate on LLM-based systems that score freeform answers, generate real-time feedback, and assist. Optimize prompt workflows and build tool-augmented agents that evaluate coding, reasoning, and system design responses. Implement and tune RAG pipelines to personalize interviews, fetch dynamic context, and reduce hallucinations. Define LLM evaluation frameworks — accuracy, consistency, bias, and interpretability. Collaborate with backend and product to ship fast, test with users, and refine in production. Keep up with SOTA papers, models, and tools — and bring them to life in real applications. ✅ You’ll thrive here if you: Have built LLM-based applications in production — not just toy projects. Are strong in Python, familiar with LangChain/LlamaIndex, and have worked with OpenAI, Claude, or open-weight models. Understand LLM failure modes — and how to prompt, chain, or retrieve around them. Think like a product engineer — fast, iterative, user-focused, and not afraid to ship experiments. Are excited about building LLM features that go beyond chat — evaluation, scoring, ranking, summarization. ⚡ Bonus if you: Have experience with vector DBs (Pinecone, Weaviate, etc.), semantic search, and evaluation frameworks. Have worked on AI in edtech, hiring, developer tools, or assessment. Have finetuned models or built systems around LLM agents + tools. Want to grow into a Founding AI Lead role. ✨ Why CodeRound? You’ll own mission-critical LLM systems used by top startups You’ll work with a fast team of engineers and founders who’ve built and scaled startups before. You’ll ship fast, see real user feedback, and influence product + infra decisions from Day 1. Show more Show less

Job Description: We are seeking an experienced Data Scientist with expertise in advanced machine learning techniques to join our dynamic team. The ideal candidate will have hands-on experience developing and deploying models using ensemble methods and other cutting-edge ML algorithms, mostly in the US banking domain. Key Responsibilities: Develop and help deploy advanced machine learning models, including ensemble techniques, for customer lifecycle use cases (e.g., prescreen, acquisition, account management, collections, and fraud). Collaborate with cross-functional teams to define, develop, and improve predictive models that drive business decisions. Work with large datasets, utilizing tools like Python and SQL , to extract, clean, and transform data for modeling purposes. Ensure model robustness, interpretability, and scalability within banking environments. Strong problem-solving skills with the ability to handle complex datasets and turn them into actionable insights. Show more Show less

India - Hyderabad JOB ID: R-210147 LOCATION: India - Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: Mar. 28, 2025 CATEGORY: Information Systems Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Business Analyst What you will do Let’s do this. Let’s change the world. In this vital role we are seeking a Business Systems Analyst with a good background in data and analytics to define and manage product requirements for AI-driven applications. Partner with Data Scientists, ML Engineers, and Product Managers to define business processes, product needs, and AI solution requirements. Capture and document epics, user stories, acceptance criteria, and data process flows for AI-powered analytics applications. Work closely with partners to define scope, priorities, and impact of new AI and data initiatives. Ensure non-functional requirements, such as data security, model interpretability, and system performance , are included in product backlogs. Facilitate the breakdown of Epics into Features and Sprint-Sized User Stories and lead backlog grooming sessions. Ensure alignment of technical requirements and UX for AI-based applications and interactive dashboards. Collaborate with engineers to define data ingestion, transformation, and model deployment processes . Develop and implement product demonstrations showcasing AI-driven insights and analytics. Maintain detailed documentation of data pipelines, model lifecycle management, and system integrations . Stay engaged throughout software development, providing proactive feedback to ensure business needs are met What we expect of you We are all different, yet we all use our unique contributions to serve patients. This role bridges the gap between business needs and technical execution, ensuring the development of high-quality, scalable AI solutions. You will collaborate with data scientists, engineers, and product managers to shape product roadmaps, refine requirements, and drive alignment between business objectives and technical capabilities. Basic Qualifications: Master’s degree and 1 to 3 years expereince in Computer Science, Data Science, Information Systems, or related field OR Bachelor’s degree and 3 to 5 years of in Computer Science, Data Science, Information Systems, or related field OR Diploma and 7 to 9 years of in Computer Science, Data Science, Information Systems, or related field Preferred Qualifications: Experience defining requirements for AI/ML models, data pipelines, or analytics dashboards . Familiarity with cloud platforms (AWS, Azure, GCP) for AI and data applications. Understanding of data security, governance, and compliance in AI solutions. Ability to communicate complex AI concepts and technical constraints to non-technical partners. Knowledge of MLOps, model monitoring, and CI/CD for AI applications . What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Join us as an MLOps Engineer at Barclays, where you will be responsible for operationalizing cutting-edge machine learning and generative AI solutions, ensuring scalable, secure, and efficient deployment across infrastructure. You will work closely with data scientists, ML engineers, and business stakeholders to build and maintain robust MLOps pipelines, enabling rapid experimentation and reliable production implementation of AI models, including LLMs and real-time analytics systems. To be successful as an MLOps Engineer you should have experience with: Strong programming skills in Python and experience with ML libraries (e.g., scikit-learn, TensorFlow, PyTorch) Experience with Jenkins, GitHub Actions, or GitLab CI/CD for automating ML pipelines Strong knowledge of Docker and Kubernetes for scalable deployments Deep experience with AWS services (e.g., SageMaker, Bedrock, Lambda, CloudFormation, Step Functions, S3 and IAM). Managing infrastructure for training and inference using AWS S3, EC2, EKS, and Step Functions. Experience with Infrastructure as Code (e.g., Terraform, AWS CDK) Familiarity with model lifecycle management tools (e.g., MLflow, SageMaker Model Registry). Strong understanding of DevOps principles applied to ML workflows. Some Other Highly Valued Skills May Include Experience with Snowflake, Databricks for collaborative ML development and scalable data processing. Knowledge of data engineering tools (e.g., Apache Airflow, Kafka, Spark). Understanding model interpretability, responsible AI, and governance. Contributions to open-source MLOps tools or communities. Strong leadership, communication, and cross-functional collaboration skills. Knowledge of data privacy, model governance, and regulatory compliance in AI systems. Exposure to LangChain, Vector DBs (e.g., FAISS, Pinecone), and retrieval-augmented generation (RAG) pipelines. You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. This role is based out of Pune. Purpose of the role To build and maintain infrastructure platforms and products that support applications and data systems, using hardware, software, networks, and cloud computing platforms as required with the aim of ensuring that the infrastructure is reliable, scalable, and secure. Ensure the reliability, availability, and scalability of the systems, platforms, and technology through the application of software engineering techniques, automation, and best practices in incident response. Accountabilities Build Engineering: Development, delivery, and maintenance of high-quality infrastructure solutions to fulfil business requirements ensuring measurable reliability, performance, availability, and ease of use. Including the identification of the appropriate technologies and solutions to meet business, optimisation, and resourcing requirements. Incident Management: Monitoring of IT infrastructure and system performance to measure, identify, address, and resolve any potential issues, vulnerabilities, or outages. Use of data to drive down mean time to resolution. Automation: Development and implementation of automated tasks and processes to improve efficiency and reduce manual intervention, utilising software scripting/coding disciplines. Security: Implementation of a secure configuration and measures to protect infrastructure against cyber-attacks, vulnerabilities, and other security threats, including protection of hardware, software, and data from unauthorised access. Teamwork: Cross-functional collaboration with product managers, architects, and other engineers to define IT Infrastructure requirements, devise solutions, and ensure seamless integration and alignment with business objectives via a data driven approach. Learning: Stay informed of industry technology trends and innovations, and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. Back to nav Share job X(Opens in new tab or window) Facebook(Opens in new tab or window) LinkedIn(Opens in new tab or window) Show more Show less

Thank you for your interest in working for our Company. Recruiting the right talent is crucial to our goals. On April 1, 2024, 3M Healthcare underwent a corporate spin-off leading to the creation of a new company named Solventum. We are still in the process of updating our Careers Page and applicant documents, which currently have 3M branding. Please bear with us. In the interim, our Privacy Policy here: https://www.solventum.com/en-us/home/legal/website-privacy-statement/applicant-privacy/ continues to apply to any personal information you submit, and the 3M-branded positions listed on our Careers Page are for Solventum positions. As it was with 3M, at Solventum all qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Job Description 3M Health Care is now Solventum At Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough solutions for our customers’ toughest challenges, we pioneer game-changing innovations at the intersection of health, material and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best. Because people, and their wellbeing, are at the heart of every scientific advancement we pursue. We partner closely with the brightest minds in healthcare to ensure that every solution we create melds the latest technology with compassion and empathy. Because at Solventum, we never stop solving for you. The Impact You’ll Make in this Role We’re seeking an HR Data Scientist to help build and strengthen our People Analytics capabilities within the People Experience team. Our mission is to create a best-in-class employee experience, with data and analytics at its core. As a data scientist, you’ll have the opportunity to collaborate with team members on driving impactful analyses and/or data products that answer key talent and business questions. Key Responsibilities Include Contribute to scalable data management to ensure data accuracy and accessibility, bringing together multiple HR data systems and business-related data sources Perform statistical analysis, selecting the best method for the specific question and context (e.g., ranging from basic regression to advanced clustering or predictive models), maintaining a balance between innovative approaches and interpretability Create compelling data visualizations and data products to ensure insights are clearly and effectively communicated to key stakeholders Collaborate with stakeholders to scope and prioritize requests and drive insights aligned with organizational objectives. Help contribute to raising the overall level of analytical fluency across HR and the business. Your Skills And Expertise To set you up for success in this role from day one, Solventum requires (at a minimum) the following qualifications: Bachelor’s degree in I/O psychology, data science, applied statistics, human resources, business analytics, or a related field. Master’s degree preferred. 4+ years of professional experience in HR, business analytics, or a similar analytical position. Experience with advanced statistical programming tools (R preferred, Python, etc.), query languages, and data visualization tools. Familiarity with range of statistical and data science methods and techniques, from regression and categorical data analysis, to organizational network analysis and predictive modeling. Additional qualifications that could help you succeed even further in this role include: Experience with various types of people data, e.g., coming from HR information systems (HRIS), timekeeping, employee survey tools, workforce planning systems Experience interpreting complex analyses and findings for audiences with varying levels of analytical fluency, especially with the goal of driving action or supporting decision-making Strong problem-solving skills, including the ability to think creativity about the data and application of novel or innovative methodologies. Experience working with cloud computing platforms (e.g., AWS, Google Cloud, MS Azure). Solventum is committed to maintaining the highest standards of integrity and professionalism in our recruitment process. Applicants must remain alert to fraudulent job postings and recruitment schemes that falsely claim to represent Solventum and seek to exploit job seekers. Please note that all email communications from Solventum regarding job opportunities with the company will be from an email with a domain of @solventum.com . Be wary of unsolicited emails or messages regarding Solventum job opportunities from emails with other email domains. Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly. Solventum Global Terms of Use and Privacy Statement Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at Solventum are conditioned on your acceptance and compliance with these terms. Please access the linked document by clicking here, select the country where you are applying for employment, and review. Before submitting your application you will be asked to confirm your agreement with the terms. Show more Show less

ob Title: AI Full stack Developer – GenAI & NLP Location: Pune, India (Hybrid) Work Mode: Remote Experience Required: 2+ Years (Relevant AI/ML with GenAI & NLP) Salary: Up to ₹15 LPA (CTC) Employment Type: Full-time Department: AI Research & Development Role Overview We are looking for a passionate AI Developer with strong hands-on experience in Generative AI and Natural Language Processing (NLP) to help build intelligent and scalable solutions. In this role, you will design and deploy advanced AI models for tasks such as language generation, summarization, chatbot development, document analysis, and more. You’ll work with cutting-edge LLMs (Large Language Models) and contribute to impactful AI initiatives. Key Responsibilities Design, fine-tune, and deploy NLP and GenAI models using LLMs like GPT, BERT, LLaMA, or similar. Build applications for tasks like text generation, question-answering, summarization, sentiment analysis, and semantic search. Integrate language models into production systems using RESTful APIs or cloud services. Evaluate and optimize models for accuracy, latency, and cost. Collaborate with product and engineering teams to implement intelligent user-facing features. Preprocess and annotate text data, create custom datasets, and manage model pipelines. Stay updated on the latest advancements in generative AI, transformer models, and NLP frameworks. Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field. Minimum 2 years of experience in fullstack development and AI/ML development, with recent work in NLP or Generative AI. Hands-on experience with models such as GPT, T5, BERT, or similar transformer-based architectures. Proficient in Python and libraries such as Hugging Face Transformers, spaCy, NLTK, or OpenAI APIs. Hands-on experience in any frontend/ backend technologies for software development. Experience with deploying models using Flask, FastAPI, or similar frameworks. Strong understanding of NLP tasks, embeddings, vector databases (e.g., FAISS, Pinecone), and prompt engineering. Familiarity with MLOps tools and cloud platforms (AWS, Azure, or GCP). Preferred Qualifications Experience with LangChain, RAG (Retrieval-Augmented Generation), or custom LLM fine-tuning. Knowledge of model compression, quantization, or inference optimization. Exposure to ethical AI, model interpretability, and data privacy practices. What We Offer Competitive salary package up to ₹15 LPA. Remote work flexibility with hybrid team collaboration in Pune. Opportunity to work on real-world generative AI and NLP applications. Access to resources for continuous learning and certification support. Inclusive, fast-paced, and innovative work culture. Skills: ci/cd,model interpretability,openai,langchain,aws,rag architectures,javascript,azure,google cloud,nltk,next.js,kubernetes,large language models,hugging face,ai tools,python,gcp,quantization,deep learning,machine learning (ml),nlp,ai development,mlops tools,backend technologies,llama,pytorch,ethical ai,frontend technologies,r,react.js,cloud,flask,data privacy,spacy,hugging face transformers,computer vision,nlp tasks,retrieval-augmented generation (rag),tensorflow,ml,gpt,ai technologies,large language models (llms),generative ai,fastapi,openai apis,embeddings,natural language processing,artificial intelligence,bert,model compression,natural language processing (nlp),vector databases,django,mlops,node.js,docker,inference optimization,java,machine learning,typescript Show more Show less

Company: AVaaya Infotech Private Limited Location: Patna, Bihar Job Type: Full-Time / Part-Time / Contract (as applicable) Application Deadline: Immediate Joining Required About Avaaya Infotech Private Limited: Avaaya Infotech Private Limited is an emerging technology-driven company engaged in cutting-edge research and development across areas such as computational modeling, material science, simulation-based design, and AI-driven innovation. Founded by academic and industry experts, we bridge the gap between theoretical research and practical industrial applications. Job Description: We are looking for a passionate and talented Research Assistant with a strong background in Artificial Intelligence and Machine Learning to join our R&D team. The ideal candidate will assist in developing AI-based solutions, data-driven models, and participate in academic and industrial research projects involving predictive modeling, computer vision, natural language processing, or deep learning. Key Responsibilities: Assist in designing and implementing machine learning models and algorithms Work with large datasets: cleaning, processing, feature engineering Conduct literature reviews and apply recent research in practical applications Collaborate on AI-based research papers, patents, and technical reports Explore model interpretability, optimization, and deployment techniques Qualifications: Bachelor’s/Master’s degree in Computer Science, Data Science, AI, or related fields Send your updated resume, a cover letter, and sample work (if any) to avaayainfotechprivatelimited@gmail.com Subject: "Application for AI/ML Research assistant Show more Show less

Bosch Software Engineering, Data Science Pune, Maharashtra, India Posted on May 28, 2025 Apply now Company Description Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 28,200+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region. Job Description Roles & Responsibilities : Roles & Responsibilities Education and Work Experience Requirements: 5 to 8 years of experience as Data Scientist 2 to 3 years of experience in Generative AI solution development Strong understanding of AI agent collaboration, negotiation, and autonomous decision-making. Experience in developing and deploying AI agents that operate independently or collaboratively in complex environments. Deep knowledge of agentic AI principles, including self-improving, self-organizing, and goal-driven agents. Proficiency in multi-agent frameworks such as AutoGen, LangGraph, LangChain, and CrewAI for orchestrating AI workflows. Hands-on experience integrating LLMs (GPT, LLaMA, Mistral, etc.) with agentic frameworks to enhance automation and reasoning. Expertise in hierarchical agent frameworks, distributed agent coordination, and decentralized AI governance. Strong grasp of memory architectures, tool use, and action planning within AI agents. Autonomy Score: Measures the degree of independence in decision-making. Collaboration Efficiency: Evaluates the ability of agents to work together and share information. Task Completion Rate: Tracks the percentage of tasks successfully executed by agents. Response Time: Measures the latency in agent decision-making and execution. Adaptability Index: Assesses how well agents adjust to dynamic changes in the environment. Resource Utilization Efficiency: Evaluates computational and memory usage for optimization. Explainability & Interpretability Score: Ensures transparency in agent reasoning and outputs. Error Rate & Recovery Time: Tracks failures and the system’s ability to self-correct. Knowledge Retention & Utilization: Measures how effectively agents recall and apply information. Hands-on experience with LLMs such as GPT, BERT, LLaMA, Mistral, Claude, Gemini, etc. Proven expertise in both open-source (LLaMA, Gemma, Mixtral) and closed-source (OpenAI GPT, Azure OpenAI, Claude, Gemini) LLMs. Advanced skills in prompt engineering, tuning, retrieval-augmented generation (RAG), reinforcement learning (RAFT), and LLM fine-tuning (PEFT, LoRA, QLoRA). Strong understanding of small language models (SLMs) like Phi-3 and BERT, along with Transformer architectures. Experience working with text-to-image models such as Stable Diffusion, DALL·E, and Midjourney. Proficiency in vector databases such as Pinecone, Qdrant for knowledge retrieval in agentic AI systems. Deep understanding of Human-Machine Interaction (HMI) frameworks within cloud and on-prem environments. Strong grasp of deep learning architectures, including CNNs, RNNs, Transformers, GANs, and VAEs. Expertise in Python, R, TensorFlow, Keras, and PyTorch. Hands-on experience with NLP tools and libraries: OpenNLP, CoreNLP, WordNet, NLTK, SpaCy, Gensim, Knowledge Graphs, and LLM-based applications. Proficiency in advanced statistical methods and transformer-based text processing. Experience in reinforcement learning and planning techniques for autonomous agent behavior. Mandatory Skills Design, develop, test, and deploy Machine Learning models using state-of-the-art algorithms with a strong focus on language models. Strong understanding of LLMs, and associated technologies like RAG, Agents, VectorDB and Guardrails Hand-on experience in GenAI frameworks like LlamaIndex, Langchain, Autogen, etc. Experience in cloud services like Azure, GCP and AWS Multi-agent frameworks: AutoGen, LangGraph, LangChain, CrewAI Large Language Models (LLMs): GPT, Qualifications Educational qualification: BE,BTECH or PHD Experience 7-11 years Mandatory/requires Skills : AI Preferred Skills Apply now See more open positions at Bosch Show more Show less

About the Role We are seeking a highly skilled and motivated AI/ML Security Engineer to join our cutting-edge security team. You will be responsible for ensuring the security and governance of AI/ML models and systems, focusing on AI Governance , Threat Modeling , and Red Teaming . Your expertise will help safeguard critical AI applications from potential threats and vulnerabilities while establishing robust governance practices. Key Responsibilities Design and implement AI Governance frameworks to ensure security, compliance, and ethical use of AI models Conduct Threat Modeling to identify vulnerabilities within AI/ML pipelines and develop mitigation strategies Perform Red Teaming exercises to simulate real-world attacks on AI systems and evaluate their resilience Collaborate with data scientists and ML engineers to build secure AI models that resist adversarial attacks Develop and maintain security policies and best practices related to AI/ML applications Monitor and assess AI model behavior to detect anomalies and potential security breaches Stay up-to-date with the latest threats and vulnerabilities specific to AI/ML systems Document and communicate findings to stakeholders, including detailed technical reports and recommendations Skills and Qualifications Must-Have: Proven experience in AI/ML security and governance Strong knowledge of AI Governance frameworks and risk management practices Expertise in Threat Modeling techniques for AI/ML pipelines Proficiency in conducting Red Teaming exercises with a focus on AI systems Hands-on experience with Python and libraries related to AI and security (e.g., TensorFlow, PyTorch, Scikit-learn) Familiarity with adversarial attack techniques and defense mechanisms in ML models Solid understanding of cybersecurity principles and secure coding practices Excellent problem-solving skills and the ability to analyze complex security scenarios Good to Have: Experience with ML model explainability and interpretability techniques Familiarity with security frameworks like NIST and ISO related to AI/ML governance Knowledge of cloud security (AWS, Azure, or GCP) related to AI deployments Strong analytical and technical writing skills for documenting findings and solutions Show more Show less

You Lead the Way. We’ve Got Your Back. With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally. At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role? We are seeking a highly motivated data scientist to join our team. The role offers the opportunity to contribute to cutting edge data science solutions in NLP, Anomaly detection and overall enterprise risk management. You will play a key role in developing proof of concepts, scalable tools, and models that protect company from (not limited to) financial, reputational, operations risks. Roles and responsibilities: Collaborate on NLP based solutions for identifying Key Risk Indicators (KRIs) across customer interactions Support the development of out of pattern detection systems, using time series models and statistical methods Contribute to the planned expansion of risk monitoring tools and models into new areas within enterprise Assist in building new age GenAI models Partner closely with global stakeholders and platforms team to deliver high impact analytics in a fast paced, regulated environment and ensure end to end completion of projects from ideation to production stages Apply innovative concepts to measure & manage risks consistently with regulatory and governance requirements Identify emerging risk themes along with ideas for solutions Ability to work on multiple projects and ad-hoc tasks simultaneously Minimum Qualifications Bachelor's/master's degree in computer science, Engineering, Statistics, Mathematics or a related field 1-3 years of hands-on experience in data science, analytics, or risk modeling Proficiency in SQL & Python Understanding of machine learning principles and model development lifecycle and steps Strong analytical, problem-solving and communication skills Preferred Qualifications Experience in working on NLP projects Experience in working on GenAI projects Exposure to risk domains Familiarity with model governance - model interpretability and hyperparameter tuning Experience working with large scale datasets and productionizing data science solutions We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations. Show more Show less

Position Summary We are seeking a dynamic and innovative Artificial Intelligence (AI) Developer with a strong full-stack web development background and expertise in leveraging cloud APIs. In this role, you will design and build intelligent systems that blend cutting-edge AI techniques with scalable web application architectures. Working closely with cross-functional teams, including data scientists, software engineers, and product managers, you will develop end-to-end solutions that enhance business operations and deliver exceptional user experiences. Responsibilities Full-Stack Development: Architect, design, and develop both frontend and backend components of AI-driven web applications. Build responsive, user-friendly interfaces using modern JavaScript frameworks (e.g., React, Angular, or Vue.js) and robust backend services (e.g., Node.js, Django, or .NET). Cloud API Integration: Develop and integrate secure RESTful and GraphQL APIs to connect AI models with cloud services and third-party systems. Leverage cloud platforms (AWS, Azure, or GCP) to deploy and manage scalable applications and services. AI and Machine Learning Solutions: Collaborate with data scientists to integrate machine learning models, natural language processing, computer vision, and other AI techniques into web applications. Optimize AI workflows by ensuring seamless data exchange and efficient model inference across the technology stack. DevOps & Deployment: Implement CI/CD pipelines, containerization (e.g., Docker, Kubernetes), and automated testing to ensure efficient, reliable releases. Monitor application performance and troubleshoot issues in real time to maintain high-quality production environments. Collaboration & Documentation: Work closely with cross-functional teams to gather requirements, deliver project updates, and ensure solutions align with business needs. Document development processes, API specifications, and integration practices to support future enhancements and maintenance. Skills & Qualifications Required Degree in Computer Science, Data Science, Engineering, or related field. The ideal candidate must have a minimum of 5 years of experience with full stack development and a minimum of 2 years with AI development. The ideal candidate must have hands on experience in multiple programming languages, including Python, JavaScript (or TypeScript), and/or C#. The ideal candidate must have hands on experience with front-end frameworks (e.g., React, Angular, or Vue.js) and backend development (e.g., Node.js, Django, or .NET). The ideal candidate must have an In-depth knowledge of cloud platforms (AWS, Azure, or GCP) and experience building and integrating cloud APIs. The ideal candidate must have hands-on experience with containerization and orchestration tools (Docker) and version control systems (Git). The ideal candidate must have hands-on experience with data management, including data transformation and storage. Must understand AI ethics, model interpretability, and scalable AI deployment practices. Must have strong problem-solving, analytical, and communication skills. Must have the ability to work effectively both independently and as part of a collaborative, agile team. Must be detail-oriented with strong organizational skills and a passion for continuous learning and innovation. Skills & Qualifications Preferred Bachelor's degree or higher in a relevant field. Experience with NLP, computer vision, or reinforcement learning. Familiarity with MLOps practices and tools. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, or Scikit-learn) and data processing libraries (e.g., Pandas, NumPy). Prior experience in developing enterprise-level full-stack applications and cloud-native solutions. Exposure to agile methodologies and DevOps best practices. This role is perfect for a developer who thrives at the intersection of AI and full-stack web development—someone who can create robust, intelligent systems that scale in the cloud while delivering intuitive, responsive user experiences. Show more Show less

Job Summary: We are looking for a skilled and innovative Machine Learning Engineer to develop, implement, and optimize intelligent systems that leverage data to drive business decisions and enhance product functionality. The ideal candidate will have strong programming skills, a solid understanding of machine learning algorithms, and experience in deploying models into production environments. Key Responsibilities: Design and develop scalable ML models and algorithms to solve real-world problems Analyze large and complex datasets to extract actionable insights Train, test, and validate models to ensure performance and accuracy Work closely with data engineers, product teams, and stakeholders to integrate ML models into applications Research and stay updated on state-of-the-art techniques in machine learning and AI Optimize models for speed, scalability, and interpretability Document processes, experiments, and results clearly Deploy models into production using MLOps tools and practices Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or related field Strong proficiency in Python and ML libraries like scikit-learn, TensorFlow, PyTorch, Keras Solid understanding of statistical modeling, classification, regression, clustering, and deep learning Experience with data handling tools (e.g., Pandas , NumPy ) and data visualization (e.g., Matplotlib , Seaborn ) Proficiency with SQL and working knowledge of big data technologies (e.g., Spark, Hadoop) Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps tools (e.g., MLflow, SageMaker) Preferred Qualifications: Experience with NLP, computer vision, or recommendation systems Knowledge of Docker, Kubernetes, and CI/CD for model deployment Published research or contributions to open-source ML projects Exposure to agile environments and collaborative workflows Show more Show less

Senior Machine Learning Engineer (AI-Powered Software Platform for Hidden Physical-Threat Detection & Real-Time Intelligence) About the Company: Aerobotics7 (A7) is a mission-driven deep-tech startup focused on developing a UAV-based next-gen sensing and advanced AI platform to detect, identify, and mitigate hidden threats like landmines, UXOs, and IEDs in real-time. We are embarking on a rapid development phase, creating innovative solutions leveraging cutting-edge technologies. Our dynamic team is committed to building impactful products through continuous learning, and close cross-collaboration. Position Overview: We are seeking a Senior Machine Learning Engineer with a strong research orientation to join our team. This role will focus on developing and refining proprietary machine learning models for drone-based landmine detection and mitigation. The ideal candidate will design, develop, and optimize advanced ML workflows with an emphasis on rigorous research, novel model development, and experimental validation in deep learning, multi-modal/sensor fusion and computer vision applications. Key Responsibilities: Lead the end-to-end AI model development process, including research, experimentation, design, and implementation. Architect, train, and deploy deep learning models on cloud (GCP) and edge devices, ensuring real-time performance. Develop and optimize multi-modal ML/DL models integrating multiple sensor inputs. Implement and fine-tune CNNs, Vision Transformers (ViTs), and other deep-learning architectures. Design and improve sensor fusion techniques for enhanced perception and decision-making. Optimize AI inference for low-latency and high-efficiency deployment on production. Cross-collaborate with software and hardware teams to integrate AI solutions into mission-critical applications. Develop scalable pipelines for model training, validation, and continuous improvement. Ensure robustness, interpretability, and security of AI models in deployment. Required Skills: • Strong expertise in deep learning frameworks (TensorFlow, PyTorch). • Experience with CNNs, ViTs, and other DL architectures. • Hands-on experience in multi-modal ML and sensor fusion techniques. • Proficiency in cloud-based AI model deployment (GCP experience preferred). • Experience with edge AI optimization (NVIDIA Jetson, TensorRT, OpenVINO). • Strong knowledge of data preprocessing, augmentation, and synthetic data generation. • Proficiency in model quantization, pruning, and optimization for real-time applications. • Familiarity with computer vision, object detection, and real-time inference techniques. • Ability to work with limited datasets, including generating synthetic data (VAEs or s similar), data annotation and augmentation strategies. • Strong coding skills in Python and C++ with experience in high-performance computing. Preferred Qualifications: • Experience: 2-4+ Years. • Experience with MLOps, including CI/CD pipelines, model versioning, and monitoring. • Knowledge of reinforcement learning techniques. • Experience in working in fast-paced startup environments. • Prior experience working on AI-driven autonomous systems, robotics, or UAVs. • Understanding of embedded systems and hardware acceleration for AI workloads. Benefits: NOTE: THIS ROLE IS UNDER AEROBOTICS7 INVENTIONS PVT. LTD., AN INDIAN ENTITY. IT IS A REMOTE INDIA-BASED ROLE WITH COMPENSATION ALIGNED TO INDIAN MARKET STANDARDS. WHILE OUR PARENT COMPANY IS US-BASED, THIS POSITION IS FOR CANDIDATES RESIDING AND WORKING IN INDIA. Competitive startup-level salary and comprehensive benefits package. Future opportunity for equity options in the company. Opportunity to work on impactful, cutting-edge technology in a collaborative startup environment. Professional growth with extensive learning and career development opportunities. Direct contribution to tangible, real-world impact. How to Apply: Interested candidates are encouraged to submit their resume along with an (optional) cover letter highlighting their relevant experience and passion for working in a dynamic startup environment. For any questions or further information, feel free to reach out to us directly by emailing us at careers@aerobotics7.com. Show more Show less

PLEASE NOTE: THIS ROLE IS ONLY FOR CANDIDATES WITH 5 TO 7 YEARS OF EXPERIENCE About PharmSight PharmSight is a leading innovator in bio-pharma analytics, providing cutting-edge AI-powered solutions that transform product research, market intelligence, and healthcare decision-making. We are dedicated to improving patient outcomes and driving advancements in the pharmaceutical industry through the application of advanced artificial intelligence Why join PharmSight? Competitive Compensation: Best-in-class salary with structured career progression Flexible Work Environment: Option to work from anywhere, at any time Global Client Exposure: Collaborate with leading pharmaceutical companies on impactful projects Career Growth & Recognition: A flat hierarchy with ample opportunities for leadership and professional development Role Overview As an AI Developer/Engineer (LLM) at PharmSight, you will be at the forefront of designing, developing, and deploying generative AI applications using state-of-the-art large language models (LLMs). You will be instrumental in crafting innovative AI solutions that solve complex challenges in bio-pharma analytics, product research, and market intelligence, directly impacting our clients ability to make data-driven decisions. This role demands a unique combination of deep technical expertise, creative problem-solving, and a passion for advancing AI technologies within the healthcare and pharmaceutical domains Key Responsibilities Architect, implement, and optimize large language models (LLMs) such as GPT, LLaMA, and BERT, tailoring them to the specific needs of bio-pharma analytics, product research, and market intelligence Experiment with diverse model architectures, hyperparameters, and training methodologies to maximize performance for targeted healthcare and pharmaceutical applications Fine-tune pre-trained models to address domain-specific challenges, ensuring exceptional accuracy, relevance, and contextual understanding Design and refine prompts to optimize LLM performance in generating accurate, insightful, and actionable outputs Develop instruction-tuning pipelines that align model behavior with specific business objectives and user requirements Continuously iterate on prompt strategies to enhance model interpretability and mitigate the risk of hallucinations or irrelevant outputs Conduct rigorous evaluations of LLMs using industry-standard metrics such as perplexity, BLEU, ROUGE, and domain-specific accuracy scores Perform in-depth error analysis, bias detection, and fairness audits to ensure models meet the highest ethical and regulatory standards Benchmark model performance against industry best practices and competitor solutions to maintain a competitive edge and drive continuous improvement Deploy LLMs into production environments, ensuring scalability, reliability, and low-latency performance to meet the demands of real-world applications Optimize models for inference speed and resource efficiency through techniques like quantization, distillation, and pruning Implement robust monitoring systems to track model performance in real-time and deploy timely updates to address drift or degradation in output quality Collaborate closely with data engineers and analysts to seamlessly integrate LLM outputs into PharmSight’s analytics platforms Leverage graph databases (e.g., vector graphs, hybrid graphs) to enhance structured knowledge extraction from unstructured text Develop APIs and intuitive interfaces that facilitate seamless interaction between LLMs and other critical system components Remain at the forefront of LLM research, actively exploring advancements in areas such as few-shot learning, reinforcement learning from human feedback (RLHF), and multimodal models Prototype and rigorously test emerging techniques to enhance model capabilities and address novel challenges in the bio-pharma domain Contribute findings to open-source projects, publish research insights, and represent PharmSight in AI research communities Work collaboratively with cross-functional teams including data scientists, product managers, and domain experts, ensuring that LLM development is aligned with critical business goals Mentor junior developers and analysts, providing guidance on LLM techniques, coding best practices, and emerging trends in AI Requirements Educational Background: bachelor’s or master’s degree in computer science, Data Science, Artificial Intelligence, or a related field AI & ML Experience: 5-7 years of hands-on experience in AI/ML development, with a strong focus on large language models (LLMs) Expertise in Python and deep learning frameworks (e.g., TensorFlow, PyTorch) Solid understanding of prompt engineering, model optimization, and NLP techniques Healthcare/Pharma Knowledge: A solid understanding of healthcare data, bio-pharma industry dynamics, and regulatory requirements Analytical Mindset: Exceptional problem-solving skills with the ability to translate business needs into innovative AI-driven solutions Communication Skills: Excellent written and verbal communication skills, with the ability to collaborate effectively with cross-functional teams and explain complex AI concepts to non-technical stakeholders (Bonus Skill) Experience in MLOps (e.g., Docker, Kubernetes, CI/CD pipelines, model monitoring) (Bonus Skill) Proficiency in cloud platforms (AWS, Azure, or GCP) for scalable AI deployment (Bonus Skill) Experience with knowledge graph construction and multimodal data integration (Eg, Neo4j, Entity extraction, nodes extraction) Join Us PharmSight offers a competitive salary, comprehensive benefits package, and the opportunity to work on cutting-edge AI projects that are transforming the pharmaceutical industry. We are committed to fostering a collaborative and innovative work environment where you can grow your skills and make a real impact Interested? Send your CV/Resume to Careers@pharmsight.com , and we’ll get back to you soon! Show more Show less

Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems. Our work culture is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be. The mission of the Platform Product Group engineers is to build a trusted, scalable and compliant platform to operate with speed, efficiency and quality. Our teams build and maintain the platforms critical to the existence of Coinbase. There are many teams that make up this group which include Product Foundations (i.e. Identity, Payment, Risk, Proofing & Regulatory, Finhub), Machine Learning, Customer Experience, and Infrastructure. The Machine Learning India team at Coinbase, specializes in leveraging AI's language capabilities for innovative products and solutions. As the industry buzzes with excitement over the widespread use of LLMs across various domains, within Coinbase, our focus is on crafting a multi-cloud LLM platform catering to every customer and employee. For our vast customer base 100M+, we develop LLM-powered experiences such as Customer Support Chatbots and Predictive Solutions, facilitating swift identification and resolution of customer issues. Meanwhile, for our workforce of 3500+ employees, we empower them with a self-serve platform to create AI assistants and tailored tool integrations, enhancing daily productivity. This groundbreaking solution relies on cutting-edge Large Language Models (LLMs), delivering human-like, domain-compliant, secure, and personalized generative responses to customer and employee queries. To realize our ambitious vision, we actively seek a highly skilled ML Engineering Manager. This role entails leading a team to scale up these capabilities, with a focus on platformization and harnessing state-of-the-art LLMs and tools. The aim is to seamlessly integrate and widely adopt these innovative solutions, ensuring they have the maximum impact. What you’ll be doing (ie. job duties): Hands-on with coding along with leading a team of ICs Plan and Implement the multi-year strategy for Machine Learning Language team with the technical leadership on your team Coach your direct reports to have a positive impact on the organization and chart a fulfilling career path. Be a thoughtful technical voice and support your team in making diligent architectural decisions. Collaborate with engineers, product managers and senior leadership to turn our vision into a tangible roadmap every quarter. Work with our talent organization to source and hire amazing engineers who will expand the Coinbase culture and product. Add positive energy in every meeting, and make your coworkers feel included in every interaction. Contribute to owning and delivering processes to drive engineering quality and meet our engineering SLAs. Navigate the team through high uncertainties such as: Dynamic product charters to cater to rapidly changing crypto-landscape Crypto bear /bull cycles (volatile stock prices, FUD etc.) Delivering top quality products in a very tight timeframe Manage a wide variety of stakeholders within the company to deliver ML-based solutions to best suit their needs. What we look for in you (ie. job requirements): At least 10+ years of experience in software engineering. At least 2 years of engineering management experience. Comfortable managing engineers working across ML and backend technologies You have designed, built, and scaled production ML applications and very hands-on in leading a team of highly competent engineers You know what high quality code — and software engineering processes — look like and know how to foster an environment that creates them. You’re passionate about building an open financial system that brings the world together. Nice to haves: BS, MS, PhD degree in Computer Science, Machine Learning, Data Mining, Statistics, or related technical field. Knowledge of Apache Airflow, Spark, Flink, Kafka/Kinesis, Snowflake, Hadoop, Hive. Experience with Python. Experience with model interpretability, responsible AI. Experience with data analysis and visualization. Commitment to Equal Opportunity Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view Pay Transparency, Employee Rights and Know Your Rights notices by clicking on their corresponding links. Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to accommodations[at]coinbase.com and let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here). Global Data Privacy Notice for Job Candidates and Applicants Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here. Show more Show less

ob Title: AI Full stack Developer – GenAI & NLP Location: Pune, India (Hybrid) Work Mode: Remote Experience Required: 2+ Years (Relevant AI/ML with GenAI & NLP) Salary: Up to ₹15 LPA (CTC) Employment Type: Full-time Department: AI Research & Development Role Overview We are looking for a passionate AI Developer with strong hands-on experience in Generative AI and Natural Language Processing (NLP) to help build intelligent and scalable solutions. In this role, you will design and deploy advanced AI models for tasks such as language generation, summarization, chatbot development, document analysis, and more. You’ll work with cutting-edge LLMs (Large Language Models) and contribute to impactful AI initiatives. Key Responsibilities Design, fine-tune, and deploy NLP and GenAI models using LLMs like GPT, BERT, LLaMA, or similar. Build applications for tasks like text generation, question-answering, summarization, sentiment analysis, and semantic search. Integrate language models into production systems using RESTful APIs or cloud services. Evaluate and optimize models for accuracy, latency, and cost. Collaborate with product and engineering teams to implement intelligent user-facing features. Preprocess and annotate text data, create custom datasets, and manage model pipelines. Stay updated on the latest advancements in generative AI, transformer models, and NLP frameworks. Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field. Minimum 2 years of experience in fullstack development and AI/ML development, with recent work in NLP or Generative AI. Hands-on experience with models such as GPT, T5, BERT, or similar transformer-based architectures. Proficient in Python and libraries such as Hugging Face Transformers, spaCy, NLTK, or OpenAI APIs. Hands-on experience in any frontend/ backend technologies for software development. Experience with deploying models using Flask, FastAPI, or similar frameworks. Strong understanding of NLP tasks, embeddings, vector databases (e.g., FAISS, Pinecone), and prompt engineering. Familiarity with MLOps tools and cloud platforms (AWS, Azure, or GCP). Preferred Qualifications Experience with LangChain, RAG (Retrieval-Augmented Generation), or custom LLM fine-tuning. Knowledge of model compression, quantization, or inference optimization. Exposure to ethical AI, model interpretability, and data privacy practices. What We Offer Competitive salary package up to ₹15 LPA. Remote work flexibility with hybrid team collaboration in Pune. Opportunity to work on real-world generative AI and NLP applications. Access to resources for continuous learning and certification support. Inclusive, fast-paced, and innovative work culture. Skills: nltk,computer vision,inference optimization,model interpretability,gpt,bert,mlops,artificial intelligence,next.js,tensorflow,ai development,machine learning,generative ai,ml,openai,node.js,kubernetes,large language models (llms),openai apis,natural language processing,machine learning (ml),fastapi,natural language processing (nlp),java,azure,nlp tasks,model compression,embeddings,vector databases,aws,typescript,r,hugging face transformers,google cloud,hugging face,llama,ai tools,mlops tools,rag architectures,langchain,spacy,docker,retrieval-augmented generation (rag),pytorch,gcp,cloud,large language models,react.js,deep learning,python,ai technologies,flask,ci/cd,data privacy,django,quantization,javascript,ethical ai,nlp Show more Show less

⭐ Job Title: Machine Learning Engineer ⭐ Reporting To: Technical Lead ⭐ Job Type: Full-time, Permanent ⭐ Location: Whitefield, Bangalore 🔥 ABOUT THE COMPANY Formee Holdings is a multinational organization developing a portfolio of new and exciting brands in the tech and retail spaces. Formee Express, Formee, Tela Mela and Formee Jewlery are all brands under our umbrella; our fields of business are in e-commerce, EdTech and F&B industries. We are currently headquartered in Melbourne, Australia, with offices also in India, Malaysia, Canada, China, Philippines, US, and UK. Needless to say, our teams are diverse and innovative! At Formee Holdings, we value independence, flexibility, career and personal growth. We're a fast-growing Edu-tech company that embraces innovation and encourages our team members to push boundaries and reach new heights. With Formee Holdings, you will get an opportunity to work with a diverse team in different parts of the world. There is a huge potential for learning and growth. JOB OVERVIEW We are looking for a Machine Learning Engineer to design and build a conversational AI chatbot for public use. The chatbot will provide accurate, empathetic responses to a diverse audience, handling a wide range of queries while ensuring scalability, security, and accessibility. You’ll collaborate with our technology and UX teams to create a tool that aligns with Formee’s mission of community support. The ideal candidate will have a strong background in building a conversational AI model and a passion for applying AI techniques to solve real-world problems. KEY RESPONSIBILITIES Model Development & Innovation: Design, prototype, and optimize scalable deep learning architectures focused on natural language understanding and generation. Leverage techniques such as reinforcement learning from human feedback (RLHF) and instruction tuning to enhance conversational performance. Experiment with prompt engineering and develop methodologies to improve model interpretability and alignment with user intent. Research & Experimentation: Stay abreast of advances in NLP, deep learning, and generative AI by reviewing academic literature and industry trends. Lead proof-of-concept experiments and iterative development cycles to assess and validate novel approaches. System Integration & Deployment: Collaborate with software and data engineers to integrate AI models into production pipelines using MLOps best practices. Monitor live systems for model drift and other performance issues; implement mechanisms for continuous improvement and retraining. Cross-Functional Leadership: Work closely with product, design, and business teams to translate customer feedback and market trends into actionable technical requirements. Help set strategic roadmaps for AI research and guide development efforts in line with ethical AI principles and regulatory compliance. 🎯 SKILLS REQUIRED Technical Expertise: Expertise in designing and training a deep learning model from scratch using frameworks such as Tensorflow or PyTorch . Hands-on experience in designing, training, and fine-tuning large-scale Neural Language Models. In-depth knowledge of deep learning architectures, particularly Transformer models , and familiarity with techniques like reinforcement learning from human feedback (RLHF) and instruction tuning. Proficiency in natural language processing (NLP) fundamentals, including attention mechanisms, context window management, and prompt engineering. Strong programming skills in Python and familiarity with modern data pipelines. Experimental & Research Acumen: Demonstrable track record in conducting rigorous, iterative experiments—such as hyperparameter tuning, ablation studies, and performance benchmarking —to optimize model performance and alignment. A history of research contributions, which could include peer-reviewed publications, open-source contributions, or patents in areas related to AI, deep learning, or NLP. Additional Skills and Traits: Strong mathematical foundation, especially in linear algebra, calculus, probability, and statistics , to support algorithm development and optimization. Ability to dive into complex, large codebases to debug, optimize, and iterate on models. ⭐ ABOUT YOU You're curious about new technologies and Artificial Intelligence and you are driven to find ways to implement them in your work. You have a big appetite to learn and improve your technical skills. You are analytical and you have a keen eye for detail. You have great problem-solving skills, and you work well in a team. You have knowledge of the entire web development process. Excited to use and explore new generative AI tools for software engineering tasks on a day-to-day basis. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Position Name ML Developer Taleo ID Position Level Staff Employment Type Permanent Number of Openings 1 Work Location Kochi, Chennai , Noida , Bangalore , Pune , Kolkata , TVM Position Details As part of EY GDS Assurance Digital, you will be responsible for leveraging advanced machine learning techniques to develop innovative, high-impact models and solutions that drive growth and deliver significant business value. You will be helping EY’s sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. This is a full-time Machine Learning Developer role, responsible for building and deploying robust machine learning models to solve real-world business problems. You will be working on the entire ML lifecycle, including data analysis, feature engineering, model training, evaluation, and deployment. Requirements (including Experience, Skills And Additional Qualifications) A bachelor’s degree (BE/BTech/MCA & MBA) in Computer Science, Engineering, Information Systems Management, Accounting, Finance or a related field with adequate industry experience. Technical Skills Requirements Develop and implement machine learning models, including regression, classification (e.g., XGBoost, Random Forest), and clustering techniques. Conduct exploratory data analysis (EDA) to uncover insights and trends within data sets. Apply dimension reduction techniques to improve model performance and interpretability. Utilize statistical models to design and implement effective business solutions. Evaluate and validate models to ensure robustness and reliability. Should have solid background in Python Familiarity with Time Series Forecasting. Basic experience with cloud platforms such as AWS, Azure, or GCP. Exposure to ML Ops tools and practices (e.g., MLflow, Airflow, Docker) is a plus Additional skill requirements: Proficient at quickly understanding complex machine learning concepts and utilizing technology for tasks such as data modeling, analysis, visualization, and process automation. Skilled in selecting and applying the most suitable standards, methods, tools, and frameworks for specific ML tasks and use cases. Capable of collaborating effectively within cross-functional teams, while also being able to work independently on complex ML projects. Demonstrates a strong analytical mindset and systematic approach to solving machine learning challenges. Excellent communication skills, able to present complex technical concepts clearly to both technical and non-technical audiences. What we look for A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment. An opportunity to be a part of market-leading, multi-disciplinary team of 7200 + professionals, in the only integrated global assurance business worldwide. Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries What working at EY offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you About EY As a global leader in assurance, tax, transaction, and advisory services, we’re using the finance products, expertise, and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities, and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Job Summary As a Data Scientist at HealthWorksAI™, you will play a pivotal role in integrating diverse modeling techniques, enhancing model interpretability, and collaborating on the development of innovative, data-driven solutions. With a focus on continuous learning and industry exposure, you'll contribute to a culture of analytics empowerment while showcasing your proficiency in analytics tools and problem-solving. What You'll Do: Model Integration: Blend traditional and modern AI/ML techniques to address complex business challenges. Interpretability Focus: Enhance model interpretability using xAI methodologies for clear insights. Solid Data Foundation: Build a strong foundation in data engineering, modeling, algorithms, and general data science principles. Analytical Proficiency: Showcase proficiency in regression, boosting/bagging, segmentation, forecasting and Deep Learning/NN techniques. Experience You'll Need Educational Background : Bachelor’s degree in Engineering, ideally in Computer Science, Statistics/Economics, or related fields. Hands-on Experience: A minimum of 2 years of hands-on experience in developing data-driven solutions. Industry Exposure: Familiarity with the US Healthcare Insurance domain. What You'll Bring to the Table: Collaborative Support : Collaborate with cross-functional teams, supporting the development and deployment of data-driven solutions. Continuous Learning : Engage in ongoing learning for personal and team growth. Technological Aptitude: Exhibit expertise in Python, and basic Big Data technologies. Curiosity and Problem-Solving: Embrace intellectual curiosity, showcasing a problem-solving mindset for impactful outcomes. Join our extraordinary team, where your passion for data science and healthcare innovation will flourish. Together, we will reshape the future of healthcare through the power of analytics and AI/ML. Apply now, and let's embark on this exciting journey together. Show more Show less

This role is for one of the Weekday's clients Min Experience: 5 years Location: Bangalore, India JobType: full-time As an AI Engineer, you will play a key role in designing, developing, and deploying AI solutions across our product portfolio. You will work closely with data scientists, machine learning engineers, software developers, and product managers to bring AI-powered features from concept to production. This role requires strong theoretical knowledge in artificial intelligence, as well as hands-on experience in building scalable AI systems. Requirements Key Responsibilities: Design, develop, and deploy AI models and solutions to solve real-world problems. Collaborate with cross-functional teams to integrate AI capabilities into products and services. Evaluate and improve the performance of AI models through continuous experimentation and iteration. Conduct research and stay up-to-date on the latest advancements in artificial intelligence, deep learning, and related fields. Build and optimize data pipelines to support training and inference of AI models. Implement MLOps best practices to enable scalable model training, monitoring, and deployment. Analyze complex datasets to extract actionable insights and train custom models as required. Translate business problems into AI/ML problems and identify the right tools, algorithms, or models to solve them. Document model design decisions, methodologies, and processes for internal and external stakeholders. Required Skills and Qualifications: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. 5-9 years of industry experience in AI/ML model development and deployment. Strong proficiency in Python and familiarity with libraries such as TensorFlow, PyTorch, Keras, or Scikit-learn. Deep understanding of machine learning and AI concepts including supervised/unsupervised learning, deep learning, reinforcement learning, and NLP. Experience with cloud platforms (AWS, Azure, or GCP) and containerization tools like Docker and Kubernetes. Strong problem-solving and analytical skills with a focus on delivering measurable results. Excellent communication and collaboration skills to work in a dynamic, cross-functional environment. Preferred Qualifications: Publications or contributions to open-source AI projects. Experience with AI model interpretability, bias mitigation, and ethical AI design. Familiarity with large language models (LLMs), generative AI, and vector databases Show more Show less

Position : AI / ML Engineer Job Type : Full-Time Location : Gurgaon, Haryana, India Experience : 2 Years Industry : Information Technology Domain : Demand Forecasting in Retail/Manufacturing Job Summary We are seeking a skilled Time Series Forecasting Engineer to enhance existing Python microservices into a modular, scalable forecasting engine. The ideal candidate will have a strong statistical background, expertise in handling multi-seasonal and intermittent data, and a passion for model interpretability and real-time insights. Key Responsibilities Develop and integrate advanced time-series models: MSTL, Croston, TSB, Box-Cox. Implement rolling-origin cross-validation and hyperparameter tuning. Blend models such as ARIMA, Prophet, and XGBoost for improved accuracy. Generate SHAP-based driver insights and deliver them to a React dashboard via GraphQL. Monitor forecast performance with Prometheus and Grafana; trigger alerts based on degradation. Core Technical Skills Languages : Python (pandas, statsmodels, scikit-learn) Time Series : ARIMA, MSTL, Croston, Prophet, TSB Tools : Docker, REST API, GraphQL, Git-flow, Unit Testing Database : PostgreSQL Monitoring : Prometheus, Grafana Nice-to-Have : MLflow, ONNX, TensorFlow Probability Soft Skills Strong communication and collaboration skills Ability to explain statistical models in layman terms Proactive problem-solving attitude Comfort working cross-functionally in iterative development environments Job Type: Full-time Pay: ₹400,000.00 - ₹800,000.00 per year Application Question(s): Do you have at least 2 years of hands-on experience in Python-based time series forecasting? Have you worked in retail or manufacturing domains where demand forecasting was a core responsibility? Are you currently authorized to work in India without sponsorship? Have you implemented or used ARIMA, Prophet, or MSTL in any of your projects? Have you used Croston or TSB models for forecasting intermittent demand? Are you familiar with SHAP for model interpretability? Have you containerized a forecasting pipeline using Docker and exposed it through a REST or GraphQL API? Have you used Prometheus and Grafana to monitor model performance in production? Work Location: In person Application Deadline: 05/06/2025 Expected Start Date: 05/06/2025

Job Overview: We are seeking a highly skilled and innovative AI Automation Expert to lead the design, development, and deployment of intelligent automation solutions using state-of-the-art AI technologies. The ideal candidate will have deep expertise in AI agents, transformers, and large language models (LLMs), with hands-on experience in both pre-training and fine-tuning models for real-world applications. Key Responsibilities: Design and develop AI agents capable of handling complex automation workflows with minimal human intervention. Integrate and customize transformer-based LLMs (e.g., GPT, BERT, LLaMA) into business processes and digital platforms. Implement pre-training and training pipelines using distributed computing frameworks and tools (e.g., PyTorch, TensorFlow, Hugging Face). Collaborate with Marketing and Data teams to deliver end-to-end AI automation solutions across departments. Optimize model performance and cost-efficiency for production-grade deployment . Monitor and continuously improve the performance, safety, and accuracy of AI models in real-time environments. Stay ahead of the curve on emerging trends in LLMs, AI agents, and generative AI tools. Qualifications: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related fields. 2+ years of hands-on experience in AI/ML, with a focus on NLP, transformers, and automation . Proficiency in Python and relevant AI libraries (e.g., PyTorch, TensorFlow, Scikit-learn). Experience with pre-training and fine-tuning LLMs , including data preprocessing, tokenization, and model evaluation. Understanding of AI agent frameworks such as AutoGPT, BabyAGI, or custom-built solutions. Strong problem-solving skills and the ability to translate business problems into AI-powered solutions. Preferred Skills: Experience with RAG (Retrieval-Augmented Generation) , knowledge graphs, or vector databases (e.g., FAISS, Pinecone). Familiarity with prompt engineering, context management, and multi-agent systems.  Exposure to AI ethics, model interpretability, and responsible AI practices. Show more Show less

Position : Environmental Data Scientist Salary: upto ₹50000 pm Location: Ahmedabad [Only preferring candidates from Gujarat] Experience: 2+ Years we are seeking a research-driven Environmental Data Scientist to lead the development of advanced algorithms that enhance the accuracy, reliability, and performance of air quality sensor data. This role goes beyond traditional data science — it focuses on solving real-world challenges in environmental sensing, such as sensor drift, cross-interference, and data anomalies. Key Responsibilities: Design and implement algorithms to improve the accuracy, stability, and interpretability of air quality sensor data (e.g., calibration, anomaly detection, cross-interference mitigation, and signal correction) Conduct in-depth research on sensor behavior and environmental impact to inform algorithm development Collaborate with software and embedded systems teams to integrate these algorithms into cloud or edge-based systems Analyze large, complex environmental datasets using Python, R, or similar tools Continuously validate algorithm performance using lab and field data; iterate for improvement Develop tools and dashboards to visualize sensor behavior and algorithm impact Assist in environmental research projects with statistical analysis and data interpretation Document algorithm design, testing procedures, and research findings for internal use and knowledge sharing Support team members with data-driven insights and code-level contributions as needed Assist other team members with writing efficient code and overcoming programming challenges Education/Experience Required Skills & Qualifications Bachelor’s or Master’s degree in one of the following fields: Environmental Engineering / Science, Chemical Engineering, Electronics / Instrumentation Engineering, Computer Science / Data Science, Physics / Atmospheric Science (with data or sensing background) 1-2 years of hands-on experience working with sensor data or IoT-based environmental monitoring systems Strong knowledge of algorithm development, signal processing, and statistical analysis Proficiency in Python (pandas, NumPy, scikit-learn, etc.) or R, with experience handling real-world sensor datasets Ability to design and deploy models in a cloud or embedded environment. Excellent problem-solving and communication skills. Passion for environmental sustainability and clean-tech. Preferred Qualifications: Familiarity with time-series anomaly detection, sensor fusion, signal noise reduction techniques or geospatial data processing. Exposure to air quality sensor technologies, environmental sensor datasets, or dispersion modeling. For Quick Response, please fill out this fo rm https://docs.google.com/forms/d/e/1FAIpQLSeBy7r7b48Yrqz4Ap6-2g_O7BuhIjPhcj-5_3ClsRAkYrQtiA/viewform?usp=sharing&ouid=106739769571157586077 Show more Show less