212 Interpretability Jobs - Page 2

Cyara is the world’s leading Automated CX Assurance Platform provider, helping leading brands across the globe deliver better CX with less effort, cost, and risk. Cyara supports the entire CX software development lifecycle, from design to functional and regression testing, load testing, chatbot testing, and production monitoring, ensuring enterprises can build flawless customer journeys across voice and digital channels while reducing the risk of customer-facing defects. Every day, the most recognizable brands across the globe trust Cyara to deliver customer smiles at scale. Interested to find out more about us? Check out: www.cyara.com Want to know what it’s really like to work at Cyara? Check out this link to meet some real Cyaran’s and read about their individual career journey with us: https://cyara.com/employee-profiles/ Cyara’s Diversity, Equity, Inclusive and Belonging Statement: At Cyara, we are dedicated to fostering a workplace that embodies equal opportunity and champions diversity, equity, inclusion, and belonging (DEIB). We strive to cultivate an environment where every individual feels valued, respected, and empowered to bring their whole selves to work, contributing unique perspectives and talents. Our commitment includes continuously evaluating and enhancing our policies, practices, and culture to align with our DEIB principles. We ensure a discrimination-free environment where individuals are evaluated solely on their merits and abilities, regardless of legally protected statuses such as sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, gender identity, veteran status, or medical condition. By celebrating our differences and championing inclusivity, we enrich our organization, make more thoughtful decisions, and drive collective success. Cyara’s Values Statement: At Cyara, our values shape everything we do. We're passionate about Delivering Excellence by putting the customer first, collaborating globally, and always striving to improve. We take smart risks and Innovate Boldly , setting new standards and learning from every experience. Integrity First is our cornerstone—we value humility, authenticity, and respect for diversity, building trust in all we do. We Embrace Curiosity by empowering you to experiment, learn, and grow in a dynamic environment. At Cyara, our values drive us forward, shaping a culture where innovation and excellence thrive. Key Responsibilities Define, own, and execute the end-to-end test strategy for the CX assurance platform, ensuring high test coverage, efficiency, and scalability. Design and implement automated test cases that evaluate: The quality and variance of outputs from deep insights and analytics of training models. The reliability and reasoning in AI trust tests, including hallucination detection, grounding, and consistency. Build and maintain automated test frameworks using JavaScript/TypeScript, Node.js, React, and Cypress. Monitor and analyze test results, identify regressions, and proactively drive resolution. Continuously improve test infrastructure and CI/CD pipeline integration to ensure fast, reliable feedback loops. Required Skills and Qualifications Technical Expertise Strong proficiency in JavaScript/TypeScript, with hands-on experience in Node.js and React applications. Deep experience with end-to-end testing frameworks, especially Cypress. AI/ML & Data Science Knowledge Working knowledge of machine learning fundamentals and model evaluation techniques. Familiarity with k-fold cross-validation, precision/recall/F1 metrics, and analyzing model performance across datasets. Understanding of AI trustworthiness principles such as interpretability, robustness, and bias detection. Test Strategy and Leadership Proven experience owning the test strategy for complex systems, including planning, execution, and test architecture. Ability to define coverage metrics, assess test gaps, and drive toward measurable quality goals. Experience working in agile/Scrum environments, actively participating in story grooming and sprint planning. Soft Skills Strong analytical and problem-solving skills with attention to detail. Excellent communication skills for cross-functional collaboration. A mindset of ownership, initiative, and continuous improvement. Why you should join us: At Cyara you’ll have the opportunity to work with a group of people who share common goals, are driven by a similar passion, and value the expertise of their peers. Cyara is committed to being an equal opportunity employer, focused on building and maintaining a diverse, inclusive and authentic workplace; and a work environment that is free from discrimination and harassment, based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy. At Cyara we appreciate and welcome the fact that our culture is living and growing as we continue to evolve over time. With this opportunity comes the chance to enjoy a flexible work environment, competitive compensation and a work culture that's results-oriented, fast-paced and focused on continuous improvement, whilst maintaining a family first, team oriented, and ever positive atmosphere. Cyara cares for its own - you’ll feel that on your first day - and you'll get the chance to work for a global, growing company, and an all-inclusive team of innovators. We credit our amazing growth and success to the fact that we’ve built our business on four essential values that we live and breathe every day: Deliver Excellence Innovate Boldly Integrity First Embrace Curiosity Interested? Know someone who might be? Apply online now. Agencies: Thanks but we’ve got this one! Please, no phone calls or emails to any employees of Cyara outside of the Talent Acquisition team. Cyara’s policy is to only accept resumes from Agencies via the Cyara Agency Portal. Agencies must have a valid fee agreement in place and they must have been assigned the specific requisition to which they submit resumes, by the Cyara Talent Acquisition team before submitting any CV's. Any resume submitted outside of this process will be deemed the sole property of Cyara and, in the event, a candidate is submitted outside of this policy is hired, no fee or payment of any kind will be paid

JOB DESCRIPTION Skill: Tech BA Key responsibility: Job Description: Require a Technical Business Analyst (Tech BA) to support the development and governance of AI-driven solutions. This role bridges business objectives and technical execution, focusing on gathering, validating, and governing requirements for AI models and applications. The ideal candidate will have a strong understanding of AI concepts and solution design, with technical proficiency to work closely with engineering teams. Experience with Microsoft .NET is a valuable plus. Requirements Management & Governance: Elicit, analyze, and document business and technical requirements for AI initiatives. Ensure end-to-end traceability and governance of requirements, including compliance with regulatory and ethical AI standards. Define and maintain requirement baselines, change logs, and stakeholder sign-offs. AI Design & Collaboration: Work closely with data scientists, AI engineers, and architects to shape the design of AI solutions. Understand AI concepts such as supervised/unsupervised learning, model interpretability, training pipelines, and performance metrics. Translate complex business problems into structured AI solution requirements and architecture inputs. Stakeholder Engagement: Facilitate discussions with product owners, SMEs, and Product teams to align solution design with business goals. Conduct workshops and create process models, user stories, and use cases to define AI-driven functionality. Technical Support & Documentation: Collaborate with developers (especially those using Microsoft .NET technologies) to ensure proper implementation and integration. Collaborate and produce detailed documentation including data flow diagrams, specifications, and testing criteria. Support testing, QA, and validation of AI outputs against business and regulatory requirements. Project Delivery & Agile Execution: Participate in sprint planning, backlog refinement, and Agile ceremonies. Track progress, manage dependencies, and raise risks or issues related to requirement delivery. Required Skills & Qualifications: Experience as a Technical Lead / Tech BA Good knowledge of AI concepts, lifecycle, and solution design Familiarity with model governance, ethical AI principles, and data privacy standards Ability to create comprehensive documentation and bridge technical/non-technical teams Hands-on experience with Agile delivery tools Added Advantage: Working knowledge or experience with Microsoft .NET frameworks and development environments Exposure to cloud-based AI services (e.g., Azure AI, Open AI , etc.) About Virtusa Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us. Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence. Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Job Description Skill: Tech BA Key Responsibility Job Description: Require a Technical Business Analyst (Tech BA) to support the development and governance of AI-driven solutions. This role bridges business objectives and technical execution, focusing on gathering, validating, and governing requirements for AI models and applications. The ideal candidate will have a strong understanding of AI concepts and solution design, with technical proficiency to work closely with engineering teams. Experience with Microsoft .NET is a valuable plus. Requirements Management & Governance Elicit, analyze, and document business and technical requirements for AI initiatives. Ensure end-to-end traceability and governance of requirements, including compliance with regulatory and ethical AI standards. Define and maintain requirement baselines, change logs, and stakeholder sign-offs. AI Design & Collaboration Work closely with data scientists, AI engineers, and architects to shape the design of AI solutions. Understand AI concepts such as supervised/unsupervised learning, model interpretability, training pipelines, and performance metrics. Translate complex business problems into structured AI solution requirements and architecture inputs. Stakeholder Engagement Facilitate discussions with product owners, SMEs, and Product teams to align solution design with business goals. Conduct workshops and create process models, user stories, and use cases to define AI-driven functionality. Technical Support & Documentation Collaborate with developers (especially those using Microsoft .NET technologies) to ensure proper implementation and integration. Collaborate and produce detailed documentation including data flow diagrams, specifications, and testing criteria. Support testing, QA, and validation of AI outputs against business and regulatory requirements. Project Delivery & Agile Execution Participate in sprint planning, backlog refinement, and Agile ceremonies. Track progress, manage dependencies, and raise risks or issues related to requirement delivery. Required Skills & Qualifications Experience as a Technical Lead / Tech BA Good knowledge of AI concepts, lifecycle, and solution design Familiarity with model governance, ethical AI principles, and data privacy standards Ability to create comprehensive documentation and bridge technical/non-technical teams Hands-on experience with Agile delivery tools Added Advantage Working knowledge or experience with Microsoft .NET frameworks and development environments Exposure to cloud-based AI services (e.g., Azure AI, Open AI , etc.) About Virtusa Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 21,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us. Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence. Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

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. While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported. 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. As a machine learning engineer, you will play a pivotal role in constructing essential infrastructure for the open financial system. This involves harnessing diverse and extensive data sources, including the blockchain, to grant millions of individuals access to cryptocurrency while simultaneously identifying and thwarting malicious entities. Your impact extends beyond safeguarding Coinbase, as you'll have the opportunity to employ machine learning to enhance the overall user experience. This includes imbuing intelligence into recommendations, risk assessment, chatbots, and various other aspects, making our product not only secure but also exceptionally user-friendly. What you’ll be doing (ie. job duties): Investigate and harness cutting-edge machine learning methodologies, including deep learning, large language models (LLMs), and graph neural networks, to address diverse challenges throughout the company. These challenges encompass areas such as fraud detection, feed ranking, recommendation systems, targeting, chatbots, and blockchain mining. Develop and deploy robust, low-maintenance applied machine learning solutions in a production environment. Create onboarding codelabs, tools, and infrastructure to democratize access to machine learning resources across Coinbase, fostering a culture of widespread ML utilization. What we look for in you (ie. job requirements): 2+yrs of industry experience as a machine learning and software engineer Experience building backend systems at scale with a focus on data processing/machine learning/analytics. Experience with at least one ML model: LLMs, GNN, Deep Learning, Logistic Regression, Gradient Boosting trees, etc. Working knowledge in one or more of the following: data mining, information retrieval, advanced statistics or natural language processing, computer vision. Exhibit our core cultural values: add positive energy, communicate clearly, be curious, and be a builder. 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. Job ID: GPML04IN Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. Commitment to Equal Opportunity Coinbase 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 the Employee Rights and the 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 contact us at accommodations[at]coinbase.com to 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. AI Disclosure For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description. For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment . To request a reasonable accommodation due to disability, please contact accommodations@coinbase.com .

About Us At Neural Nurture, we are committed to advancing the frontiers of Artificial Intelligence and Machine Learning. Our research lab focuses on solving some of the most exciting and challenging problems in Machine Learning, Natural Language Processing, and Computer Vision. Role Overview We are seeking highly motivated research interns to join our team, with a focus on Natural Language Processing. Interns will contribute to projects centered on language understanding, model interpretability, and efficient deep learning. The position will focus on developing methods that improve the reliability and human-alignment of language models, with particular emphasis on areas like sentence acceptability evaluation, structured representations, and judgment-based learning. This is an excellent opportunity for individuals interested in pushing the boundaries of how language models understand, reason, and interact in more human-aligned ways. Interns will have the opportunity to work on both fundamental research and practical applications, aiming for contributions to top-tier conferences in NLP and Machine Learning. This is an unpaid research internship intended for students who are looking to gain hands-on experience in cutting-edge AI research and contribute to high-impact academic and applied projects. Responsibilities Collaborate with research mentors to brainstorm and define solutions for challenging real-world problems. Review relevant literature and existing approaches to identify gaps and opportunities for innovation. Design novel solutions, build working prototypes, and perform comprehensive experiments to assess the effectiveness of the proposed methods against relevant benchmarks. Evaluate results of experiments, validate findings, and fine-tune models based on insights gained. Present research results with other internal teams or at external academic or industry events, effectively communicating technical findings. Prepare and refine research papers for submission to leading conferences in Machine Learning and Natural Language Processing. Qualifications Currently pursuing a Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, Applied Mathematics, or a related field. Proficiency in programming languages such as Python, Java, C++, or other relevant languages. Strong foundational knowledge of core machine learning concepts and the mathematical principles underlying ML algorithms. Strong background in Natural Language Processing and Deep Learning. Experience with Deep Learning frameworks (e.g., PyTorch, TensorFlow). Ability to work independently and collaboratively in a fast-paced environment. Passion for research and a curiosity-driven mindset. Preferred Qualifications Prior research experience including publications in major conferences or journals. Strong coding skills in Python. Familiarity with linguistic theory, structured prediction models, or human-centered evaluation methodologies. Prior experience in research projects related to language model evaluation, interpretability, or structured learning. Familiarity with libraries like Hugging Face Transformers. Experience working with large-scale datasets and training models on cloud or cluster environments. Why Join Neural Nurture? At Neural Nurture, you will have the opportunity to work closely with experienced researchers specializing in ML, Natural Language Processing, and Computer Vision. Our collaborative environment fosters deep technical learning and hands-on mentorship, helping you grow as a researcher. Interns at Neural Nurture are encouraged to contribute to cutting-edge projects aimed at both academic advancement and real-world impact, with opportunities to publish in top-tier ML, CV, and NLP conferences. You will tackle challenging problems at the intersection of academic research and industry applications, gaining valuable experience that prepares you for future careers in research, academia, or industry. Application deadline: Aug 4th, 2025 or until we receive reasonable number of applicants. Compensation: Unpaid Location: Indore (Onsite only)

Location: Indore (On-site only) Job description About Us At Neural Nurture, we are committed to advancing the frontiers of Artificial Intelligence and Machine Learning. Our research lab focuses on solving some of the most exciting and challenging problems in Machine Learning, Natural Language Processing, and Computer Vision. Role Overview As an Applied Scientist, you will work at the intersection of cutting-edge research and applied systems, helping us design, prototype, and deploy robust AI models. Whether your expertise lies in Natural Language Processing , Computer Vision , or at the intersection of both ( Multimodal AI ), you’ll contribute to building robust, efficient, and deployable models for real-world challenges. Areas of focus could be one or more of the following: General Machine Learning: Advancing core ML techniques to improve model efficiency, reliability, and scalability across domains. Computer Vision (CV): Developing robust visual understanding systems for real-world image and video analysis. Natural Language Processing (NLP): Building intelligent language models for tasks such as understanding, summarization, and information extraction. Multimodal Learning: Creating models that effectively integrate and reason over text, vision, and other data modalities. Responsibilities Collaborate with research mentors to brainstorm and define solutions for challenging real-world problems. Review relevant literature and existing approaches to identify gaps and opportunities for innovation. Design novel solutions, build working prototypes, and perform comprehensive experiments to assess the effectiveness of the proposed methods against relevant benchmarks. Evaluate results of experiments, validate findings, and fine-tune models based on insights gained. Present research results with other internal teams or at external academic or industry events, effectively communicating technical findings. Prepare and refine research papers for submission to leading conferences in Machine Learning, Natural Language Processing, and Computer Vision. Qualifications Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, Applied Mathematics, or a related field. Proficiency in programming languages such as Python, Java, C++, or other relevant languages. Strong foundational knowledge of core machine learning concepts and the mathematical principles underlying ML algorithms. Experience with Deep Learning frameworks (e.g., PyTorch, TensorFlow). Hands-on experience in one or more of the following: NLP (Transformers, LLM fine-tuning, prompt engineering), CV (CNNs, ViTs, object detection, panoptic segmentation, robustness techniques, diffusion models). Strong analytical thinking and ability to communicate technical ideas clearly Ability to work independently and collaboratively in a fast-paced environment. Passion for research and a curiosity-driven mindset. Preferred Qualifications Strong coding skills in Python. Prior research experience including publications in major conferences or journals. Familiarity with linguistic theory, structured prediction models, or human-centered evaluation methodologies. Prior experience in research projects related to language model evaluation, interpretability, or structured learning. Familiarity with computer vision robustness concepts such as corruptions, adversarial attacks, and distribution shifts Experience working with Vision-Language Models or Multimodal Learning (e.g., CLIP, BLIP, Flamingo, LLaVA) is a plus Familiarity with libraries like Hugging Face Transformers. Experience working with large-scale datasets and training models on cloud or cluster environments. Why Join Neural Nurture? At Neural Nurture, you will have the opportunity to work closely with experienced researchers specializing in ML, Natural Language Processing, and Computer Vision. Our collaborative environment fosters deep technical learning and hands-on mentorship, helping you grow as a researcher. Employees at Neural Nurture are encouraged to contribute to cutting-edge projects aimed at both academic advancement and real-world impact, with opportunities to publish in top-tier ML, NLP, and CV conferences. You will tackle challenging problems at the intersection of academic research and industry applications, gaining valuable experience that prepares you for future careers in research, academia, or industry. Application deadline: Aug 4th, 2025 or until we receive reasonable number of applicants. Compensation: Base salary for this full-time position ranges from ₹3L to ₹5L, along with performance bonuses, equity, and benefits. Compensation is determined based on role, level, and location. Individual pay within the range is influenced by factors such as work location, relevant skills, experience, and educational background.

Job Title: Senior AI/ML Developer (Onsite) Location: Riyadh, Saudi Arabia Job Type: Full-Time, Onsite Experience Required: 5+ years Interested candidates can send their resume and a cover letter to hr@whitemastery.com or contact 9176760030 About the Role We are looking for a passionate and highly skilled Senior Artificial Intelligence and Machine Learning Developer to join our growing tech team onsite . If you are someone who thrives in a dynamic environment, enjoys solving complex problems using intelligent systems, and wants to be part of building cutting-edge solutions that drive real-world impact — we want to hear from you. This role demands strong technical leadership, a proactive mindset, and the ability to architect and deploy robust AI/ML models. As a senior member of the team, you will also mentor juniors and actively collaborate with cross-functional teams. Key Responsibilities Design, develop, and deploy AI/ML models and systems for real-world applications Build end-to-end pipelines including data preprocessing, model training, validation, and deployment Research and implement advanced ML algorithms, deep learning models, and NLP techniques Collaborate with data scientists, product managers, and software engineers to deliver AI-powered features Ensure scalability, reliability, and performance of deployed models Stay ahead of the curve with the latest developments in AI/ML and drive innovation Mentor junior developers and help shape technical best practices within the team Key Skills & Qualifications Strong programming skills in Python and Golang Hands-on experience with ML frameworks such as PyTorch, TensorFlow, Scikit-learn Solid grasp of machine learning, deep learning, NLP , and model interpretability techniques Experience with model deployment, MLOps , and version control tools Strong understanding of data structures, algorithms, and system design Experience working with cloud platforms (AWS/GCP/Azure) is a plus Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field Excellent problem-solving, analytical, and communication skills Minimum 5 years of experience in AI/ML development, with proven track record in delivering production-grade models Job Type: Full-time Pay: ₹800,000.00 - ₹1,000,000.00 per year Ability to commute/relocate: Chennai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): When can you join us? Do you hold a valid passport? Work Location: In person

Purpose Of The Position We are looking for a highly experienced Senior Data Scientist with a deep understanding of AI/ML technologies, including Recommendation Systems, Chatbots, Generative AI, and Large Language Models (LLMs). The ideal candidate will have hands-on experience in applying these technologies to solve real-world problems, working with large datasets, and collaborating with cross-functional teams to deliver innovative data-driven Responsibilities : Design, develop, and optimize recommendation systems to enhance user experience and engagement across platforms. Build and deploy chatbots with advanced NLP capabilities for automating customer interactions and improving business processes. Lead the development of Generative AI solutions, including content generation and automation. Research and apply Large Language Models (LLMs) like GPT, BERT, and others to solve business-specific problems and create innovative solutions. Collaborate with engineering teams to integrate machine learning models into production systems, ensuring scalability and reliability. Perform data exploration, analysis, and feature engineering to improve model performance. Stay updated on the latest advancements in AI and ML technologies, proposing new techniques and tools to enhance our product capabilities. Mentor junior data scientists and engineers, providing guidance on best practices in AI/ML model development and deployment. Collaborate with product managers and business stakeholders to translate business goals into AI-driven solutions. Work on model interpretability, explainability, and ensure models are built in an ethical and responsible Skills And Qualifications : 5+ years of experience in data science or machine learning, with a focus on building and deploying AI models. Strong expertise in designing and developing recommendation systems and working with collaborative filtering, matrix factorization, and content-based filtering techniques. Hands-on experience with chatbots using Natural Language Processing (NLP) and conversational AI frameworks. In-depth understanding of Generative AI, including transformer-based models and GANs (Generative Adversarial Networks). Experience working with Large Language Models (LLMs) such as GPT, BERT, T5, etc. Proficiency in machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn. Strong programming skills in Python and libraries such as NumPy, Pandas, Hugging Face, and NLTK. Experience with cloud platforms like AWS, GCP, or Azure for deploying and scaling machine learning models. Solid understanding of data pipelines, ETL processes, and working with large datasets using SQL or NoSQL databases. Knowledge of MLOps and experience deploying models in production environments. Strong problem-solving skills and a deep understanding of statistical methods and Qualifications : Experience with Reinforcement Learning and Recommender Systems personalization techniques. Experience of working with AWS Bedrock services. Familiarity with ethical AI and model bias mitigation techniques. Experience with A/B testing, experimentation, and performance tracking for AI models in production. Prior experience mentoring junior data scientists and leading AI/ML projects. Strong communication and collaboration skills, with the ability to convey complex technical concepts to non-technical Join Opportunity to be part of a rapidly growing, innovative product-based company. Collaborate with a talented, driven team focused on building high-quality software solutions. Competitive compensation and benefits package. (ref:hirist.tech)

Position Overview Job Title- Data Science Engineer, VP Location- Bangalore, India Role Description We are seeking a seasoned Data Science Engineer to spearhead the development of intelligent, autonomous AI systems. The ideal candidate will have a robust background in agentic AI, LLMs, SLMs, vector DB, and knowledge graphs. This role involves designing and deploying AI solutions that leverage Retrieval-Augmented Generation (RAG), multi-agent frameworks, and hybrid search techniques to enhance enterprise applications. What We’ll Offer You As part of our flexible scheme, here are just some of the benefits that you’ll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your Key Responsibilities Design & Develop Agentic AI Applications: Utilise frameworks like LangChain, CrewAI, and AutoGen to build autonomous agents capable of complex task execution. Implement RAG Pipelines: Integrate LLMs with vector databases (e.g., Milvus, FAISS) and knowledge graphs (e.g., Neo4j) to create dynamic, context-aware retrieval systems. Fine-Tune Language Models: Customise LLMs (e.g., Gemini, chatgpt, Llama) and SLMs (e.g., Spacy, NLTK) using domain-specific data to improve performance and relevance in specialised applications. NER Models: Train OCR and NLP leveraged models to parse domain-specific details from documents (e.g., DocAI, Azure AI DIS, AWS IDP) Develop Knowledge Graphs: Construct and manage knowledge graphs to represent and query complex relationships within data, enhancing AI interpretability and reasoning. Collaborate Cross-Functionally: Work with data engineers, ML researchers, and product teams to align AI solutions with business objectives and technical requirements. Optimise AI Workflows: Employ MLOps practices to ensure scalable, maintainable, and efficient AI model deployment and monitoring. Your Skills And Experience 13+ years of professional experience in AI/ML development, with a focus on agentic AI systems. Proficient in Python, Python API frameworks, SQL and familiar with AI/ML frameworks such as TensorFlow or PyTorch. Experience in deploying AI models on cloud platforms (e.g., GCP, AWS). Experience with LLMs (e.g., GPT-4), SLMs (Spacy), and prompt engineering. Understanding of semantic technologies, ontologies, and RDF/SPARQL. Familiarity with MLOps tools and practices for continuous integration and deployment. Skilled in building and querying knowledge graphs using tools like Neo4j. Hands-on experience with vector databases and embedding techniques. Familiarity with RAG architectures and hybrid search methodologies. Experience in developing AI solutions for specific industries such as healthcare, finance, or e-commerce. Strong problem-solving abilities and analytical thinking. Excellent communication skills for cross-functional collaboration. Ability to work independently and manage multiple projects simultaneously. How We’ll Support You Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About Us And Our Teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

Job Details: Experience - 4 to 12 yrs Mandatory Skills - Data Science, Classical Machine Learning, Python. Location - Mumbai, Pune, Bangalore, Chennai, Hyderabad and Kolkata location. Notice - Immediate to 30 days. Data Scientist Python and Notebooks Responsibilities We are seeking a talented Data Scientist to join our team and drive datadriven decisionmaking across our organization The ideal candidate will have a strong background in statistical analysis machine learning and data visualization with experience working with large datasets in a Teradata environment Design and implement endtoend data science projects from problem definition to model deployment Develop and apply advanced machine learning algorithms and statistical models to solve complex business problems Collaborate with crossfunctional teams to identify opportunities for datadriven improvements Conduct exploratory data analysis and feature engineering to prepare data for modeling Create and maintain dashboards and reports to communicate insights to stakeholders Optimize data collection procedures and ensure data quality Stay current with the latest advancements in data science and machine learning techniques Implement and maintain onpremise AIML solutions Apply Explainable AI techniques to enhance model interpretability and transparency Requirements Strong proficiency in Python R and SQL Experience with Teradata and data lakelakehouse architectures Expertise in machine learning algorithms statistical modeling and data visualization Familiarity with big data technologies eg Hadoop Spark Excellent problemsolving and communication skills Experience with version control systems eg Git Experience with onpremise AIML solutions Knowledge of Explainable AI methods and their practical applications.

Cyara is the world’s leading Automated CX Assurance Platform provider, helping leading brands across the globe deliver better CX with less effort, cost, and risk. Cyara supports the entire CX software development lifecycle, from design to functional and regression testing, load testing, chatbot testing, and production monitoring, ensuring enterprises can build flawless customer journeys across voice and digital channels while reducing the risk of customer-facing defects. Every day, the most recognizable brands across the globe trust Cyara to deliver customer smiles at scale. Interested to find out more about us? Check out: www.cyara.com Want to know what it’s really like to work at Cyara? Check out this link to meet some real Cyaran’s and read about their individual career journey with us: https://cyara.com/employee-profiles/ Cyara’s Diversity, Equity, Inclusive and Belonging Statement: At Cyara, we are dedicated to fostering a workplace that embodies equal opportunity and champions diversity, equity, inclusion, and belonging (DEIB). We strive to cultivate an environment where every individual feels valued, respected, and empowered to bring their whole selves to work, contributing unique perspectives and talents. Our commitment includes continuously evaluating and enhancing our policies, practices, and culture to align with our DEIB principles. We ensure a discrimination-free environment where individuals are evaluated solely on their merits and abilities, regardless of legally protected statuses such as sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, gender identity, veteran status, or medical condition. By celebrating our differences and championing inclusivity, we enrich our organization, make more thoughtful decisions, and drive collective success. Cyara’s Values Statement: At Cyara, our values shape everything we do. We're passionate about Delivering Excellence by putting the customer first, collaborating globally, and always striving to improve. We take smart risks and Innovate Boldly, setting new standards and learning from every experience. Integrity First is our cornerstone—we value humility, authenticity, and respect for diversity, building trust in all we do. We Embrace Curiosity by empowering you to experiment, learn, and grow in a dynamic environment. At Cyara, our values drive us forward, shaping a culture where innovation and excellence thrive. Key Responsibilities Define, own, and execute the end-to-end test strategy for the CX assurance platform, ensuring high test coverage, efficiency, and scalability Design and implement automated test cases that evaluate: The quality and variance of outputs from deep insights and analytics of training models The reliability and reasoning in AI trust tests, including hallucination detection, grounding, and consistency Build and maintain automated test frameworks using JavaScript/TypeScript, Node.js, React, and Cypress Monitor and analyze test results, identify regressions, and proactively drive resolution Continuously improve test infrastructure and CI/CD pipeline integration to ensure fast, reliable feedback loops Required Skills And Qualifications Technical Expertise Strong proficiency in JavaScript/TypeScript, with hands-on experience in Node.js and React applications Deep experience with end-to-end testing frameworks, especially Cypress AI/ML & Data Science Knowledge Working knowledge of machine learning fundamentals and model evaluation techniques Familiarity with k-fold cross-validation, precision/recall/F1 metrics, and analyzing model performance across datasets Understanding of AI trustworthiness principles such as interpretability, robustness, and bias detection Test Strategy and Leadership Proven experience owning the test strategy for complex systems, including planning, execution, and test architecture Ability to define coverage metrics, assess test gaps, and drive toward measurable quality goals Experience working in agile/Scrum environments, actively participating in story grooming and sprint planning Soft Skills Strong analytical and problem-solving skills with attention to detail Excellent communication skills for cross-functional collaboration A mindset of ownership, initiative, and continuous improvement Why you should join us: At Cyara you’ll have the opportunity to work with a group of people who share common goals, are driven by a similar passion, and value the expertise of their peers. Cyara is committed to being an equal opportunity employer, focused on building and maintaining a diverse, inclusive and authentic workplace; and a work environment that is free from discrimination and harassment, based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy. At Cyara we appreciate and welcome the fact that our culture is living and growing as we continue to evolve over time. With this opportunity comes the chance to enjoy a flexible work environment, competitive compensation and a work culture that's results-oriented, fast-paced and focused on continuous improvement, whilst maintaining a family first, team oriented, and ever positive atmosphere. Cyara cares for its own - you’ll feel that on your first day - and you'll get the chance to work for a global, growing company, and an all-inclusive team of innovators. We credit our amazing growth and success to the fact that we’ve built our business on four essential values that we live and breathe every day: Deliver Excellence Innovate Boldly Integrity First Embrace Curiosity Interested? Know someone who might be? Apply online now. Agencies: Thanks but we’ve got this one! Please, no phone calls or emails to any employees of Cyara outside of the Talent Acquisition team. Cyara’s policy is to only accept resumes from Agencies via the Cyara Agency Portal. Agencies must have a valid fee agreement in place and they must have been assigned the specific requisition to which they submit resumes, by the Cyara Talent Acquisition team before submitting any CV's. Any resume submitted outside of this process will be deemed the sole property of Cyara and, in the event, a candidate is submitted outside of this policy is hired, no fee or payment of any kind will be paid

Job Description YOUR IMPACT Are you passionate about leveraging cutting-edge AI/ML techniques, including Large Language Models, to solve complex, mission-critical problems in a dynamic environment? Do you want to contribute to safeguarding a leading global financial institution? OUR IMPACT We are Compliance Engineering, a global team of engineers and scientists dedicated to preventing, detecting, and mitigating regulatory and reputational risks across Goldman Sachs. We build and operate a suite of platforms and applications that protect the firm and its clients. We Offer Access to vast amounts of structured and unstructured data to fuel your AI/ML models, including textual data suitable for LLM applications. The opportunity to work with the latest AI/ML technologies, including Large Language Models and cloud computing platforms. A collaborative environment where you can learn from and contribute to a team of experienced engineers and scientists. The chance to make a tangible impact on the firm's ability to manage risk and maintain its reputation. Within Compliance Engineering, we are seeking an experienced AI/ML Engineer to join our Engineering team. This role will focus on developing, deploying, and maintaining AI/ML models, with a particular emphasis on leveraging Large Language Models. How You Will Fulfill Your Potential As a member of our team, you will: Develop and deploy AI/ML models, including those based on Large Language Models (LLMs), using large-scale structured and unstructured data, addressing complex and impactful business challenges. Design and build scalable infrastructure for machine learning, including feature engineering pipelines and model deployment frameworks optimized for LLMs. Develop, productionize, and maintain AI/ML models, ensuring their accuracy, reliability, and performance, with a focus on LLM-based solutions. Design and execute AI/ML experiments, iteratively tuning features, prompts, and modeling approaches to optimize model performance, and meticulously documenting findings and results, especially in the context of LLMs. Collaborate with ML researchers to accelerate the adoption of cutting-edge AI/ML techniques and models, with a focus on advancements in Large Language Models. Participate in code reviews and contribute to maintaining high code quality standards. Contribute to the design and implementation of AI/ML model monitoring and alerting systems. Work with stakeholders to understand their needs and translate them into technical requirements, with an emphasis on identifying opportunities for LLM-based solutions. Qualifications A successful candidate will possess the following attributes: A Bachelor's or Master's degree in Computer Science, or a similar field of study. 4+ years of hands-on experience with building scalable machine learning systems Solid coding skills and strong Computer Science fundamentals (algorithms, data structures, software design) Extensive experience with Machine Learning and Deep Learning toolkits (Tensorflow, PyTorch, Scikit-Learn, HuggingFace) Demonstrated experience with Large Language Models (LLMs), including model fine-tuning, prompt engineering, and evaluation techniques. Experience in architecting and deploying ML applications on cloud, including containerization (Docker, Kubernetes). Experience in working with distributed technologies like Scala, Pyspark, Iceberg, HDFS file formats (avro, parquet), AWS/ GCP, big data feature engineering. Experience in system design and evaluating the pros and cons of database choices, schema definition for data storage. Experience in some of the following is desired and can set you apart from other candidates : Experience with Agentic Frameworks (e.g., Langchain, AutoGen) and their application to real-world problems. Experience with model interpretability techniques. Prior experience in code reviews/ architecture design for distributed systems. Experience with data governance and data quality principles. Familiarity with financial regulations and compliance requirements. 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

Who We Are: Netcore Cloud is a MarTech platform helping businesses design, execute, and optimize campaigns across multiple channels. With a strong focus on leveraging data, machine learning, and AI, we empower our clients to make smarter marketing decisions and deliver exceptional customer experiences. Our team is passionate about innovation and collaboration, and we are looking for a talented Senior Data Scientist to join our team and work on impactful, high-scale projects. Role Summary: As a Senior Data Scientist, you’ll work on developing, deploying, and optimizing advanced machine learning solutions across a range of problem statements such as personalization, customer segmentation, predictive modeling, and NLP. This is a high-impact role that will allow you to collaborate across cross-functional teams and contribute directly to our product innovation roadmap. What You'll Do: Model Development and Innovation : Design and implement ML models for problems including recommendation engines, user segmentation, conversion prediction, and NLP-based automation Stay on top of the latest research in AI/ML and evaluate new approaches (e.g., LLMs, generative AI) for practical application. Optimise model performance, scalability, and interpretability for production systems. MLOps & Deployment Contribute to the deployment of models into production environments using MLOps best practices. Leverage platforms such as AWS SageMaker or Google Vertex AI for training, tuning, and scaling models. Data & Experimentation Work with large-scale, real-time datasets to derive actionable insights and build data pipelines for ML training and evaluation. Design and run experiments (A/B testing, uplift modeling, etc.) to validate hypotheses and improve product KPIs. Technology and Tools : Work with large-scale datasets, ensuring data quality and scalability of solutions. Leverage cloud platforms like AWS, GCP for model training and deployment. Utilize tools and libraries such as Python, TensorFlow, PyTorch, Scikit-learn, and Spark for development. With so much innovation happening around Gen AI and LLMs, we prefer folks who have already exposed themselves to this exciting opportunity via AWS Bedrock or Google Vertex. Cross-functional Collaboration Partner with product, engineering, and marketing teams to understand business requirements and translate them into data science solutions. Who You Are: Education : Bachelors from Tier 1 premier institute in relevant field, or; Master’s or PhD in Computer Science, Data Science, Mathematics, or a related field. Experience : 4–6 years of hands-on experience in machine learning or data science roles. Proven expertise in machine learning, deep learning, NLP, and recommendation systems. Hands-on experience deploying ML models in production at scale. Experience in a product-focused or customer-facing domain such as Martech, Adtech, or B2B SaaS is a plus. Technical Skills : Proficiency in Python, SQL, and ML frameworks like TensorFlow or PyTorch. Strong understanding of statistical methods, predictive modeling, and algorithm design. Familiarity with cloud-based solutions (AWS Sagemaker, GCP AI Platform, or similar). Soft Skills : Strong analytical and problem-solving mindset. Excellent communication skills to articulate data-driven insights. A passion for innovation and staying up-to-date with the latest trends in AI/ML. Why Join Us: Opportunity to work on cutting-edge AI/ML projects impacting millions of users. Be part of a collaborative, innovation-driven team in a fast-growing Martech company. Competitive compensation and growth opportunities in a fast-paced environment. We’d love to hear how your background can contribute to building the next generation of intelligent marketing solutions. Apply now or reach out for a conversation. :)

About Us Yubi stands for ubiquitous. But Yubi will also stand for transparency, collaboration, and the power of possibility. From being a disruptor in India’s debt market to marching towards global corporate markets from one product to one holistic product suite with seven products Yubi is the place to unleash potential. Freedom, not fear. Avenues, not roadblocks. Opportunity, not obstacles. About Yubi Yubi, formerly known as CredAvenue, is redefining global debt markets by freeing the flow of finance between borrowers, lenders, and investors. We are the world's possibility platform for the discovery, investment, fulfillment, and collection of any debt solution. At Yubi, opportunities are plentiful, and we equip you with the tools to seize them. In March 2022, we became India's fastest fintech and most impactful startup to join the unicorn club with a Series B fundraising round of $137 million. In 2020, we began our journey with a vision of transforming and deepening the global institutional debt market through technology. Our two-sided debt marketplace helps institutional and HNI investors find the widest network of corporate borrowers and debt products on one side and helps corporates to discover investors and access debt capital efficiently on the other side. Switching between platforms is easy, which means investors can lend, invest and trade bonds - all in one place. Our platforms shake up the traditional debt ecosystem and offer new ways of digital finance. Yubi Credit Marketplace - With the largest selection of lenders on one platform, our credit marketplace helps enterprises partner with lenders of their choice for any capital requirements. Yubi Invest - Fixed-income securities platform for wealth managers & financial advisors to channel client investments in fixed-income Financial Services Platform - Designed for financial institutions to manage co-lending partnerships & asset-based securitization Spocto - Debt recovery & risk mitigation platform Accumn - Dedicated SaaS solutions platform powered by Decision-grade data, Analytics, Pattern Identifications, Early Warning Signals, and Predictions to Lenders, Investor,s and Business Enterprises So far, we have onboarded more than 17000 enterprises, 6200 investors, and lenders and facilitated debt volumes of over INR 1,40,000 crore. Backed by marquee investors like Insight Partners, B Capital Group, Dragoneer, Sequoia Capital, LightSpeed, and Lightrock, we are the only-of-its-kind debt platform globally, revolutionizing the segment. At Yubi, People are at the core of the business and our most valuable assets. Yubi is constantly growing, with 1000+ like-minded individuals today who are changing the way people perceive debt. We are a fun bunch who are highly motivated and driven to create a purposeful impact. Come join the club to be a part of our epic growth story. Requirements About the Role Data Scientist - Credit Risk /Fraud Models Experience: 2 to 4 years We seek a skilled Data Scientist to join our team and help build a cutting-edge Credit Risk Machine Learning platform. This platform delivers sophisticated credit scoring models and transparent explanations behind each score to support clients' credit monitoring and management activities. As a Data Scientist, you will be key in designing, developing, and deploying machine learning models that assess credit risk, ensuring high accuracy, interpretability, and compliance with regulatory requirements. Your experience in machine learning and strong Python programming skills will be crucial in driving innovation and business value for our clients. Key Responsibilities Build and develop credit risk/fraud models to assess risk, ensuring high accuracy and explainability of the models to comply with regulatory frameworks and requirements. Lead the development of a machine learning platform that empowers clients to build and customize their risk models, enabling more tailored risk management solutions. Align data solutions with business objectives and technical constraints, adapting to the evolving market dynamics, regulatory landscape, and client requirements. Work closely with cross-functional teams, including data engineering, product management, and business teams, to manage and lead various aspects of the product lifecycle, from conception to delivery. Monitor model performance and maintain risk management protocols by retraining models as needed, ensuring ongoing accuracy and regulatory compliance. Stay updated on industry trends, regulations, and emerging technologies to continuously improve the models and the platform. Provide mentorship and guidance to junior data scientists and engineers within the team. Requirements Technical Skills In-depth understanding of machine learning algorithms (supervised, unsupervised, and ensemble methods) and their application to risk. Expertise in statistical analysis, including hypothesis testing, regression analysis, probability theory, and data modeling techniques, to extract insights and validate machine learning models. Experience in designing, developing, and delivering end-to-end data products and solutions. Expertise in model explainability techniques (e.g. SHAP, LIME) and regulatory compliance for risk models. Strong proficiency in Python. Working knowledge of PySpark ( Good to have ) Proficiency in building and deploying models on cloud platforms (AWS). Proficiency in developing backend microservices using Fast API and working knowledge of MLOps. Experience with NLP techniques is good to have Domain Skills ( Good to have ) Prior experience collaborating with finance and risk teams to ensure the model outputs align with business objectives and regulatory requirements. Basic understanding of credit risk management processes, including credit scoring, default probability estimation, and financial regulations. Basic working knowledge of finance and credit risk concepts, such as loan performance metrics, creditworthiness, and risk mitigation strategies. Education and Experience Bachelor’s/Advanced degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. 2 to 4 years of experience in the data science and machine learning domain Experience in the financial sector or credit risk management is a bonus. Benefits We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, or age.

Company Brief House of Shipping provides business consultancy and advisory services for Shipping & Logistics companies. House of Shipping's commitment to their customers begins with developing an understanding of their business fundamentals. We are hiring on behalf of one of our key US based client - a globally recognized service provider of flexible and scalable outsourced warehousing solutions, designed to adapt to the evolving demands of today’s supply chains. Currently House of Shipping is looking to identify a high caliber Data Science Lead . This position is an on-site position for Hyderabad . Background and experience: 15–18 years in data science, with 5+ years in leadership roles Proven track record in building and scaling data science teams in logistics, e-commerce, or manufacturing Strong understanding of statistical learning, ML architecture, productionizing models, and impact tracking Job purpose: To lead enterprise-scale data science initiatives in supply chain optimization, forecasting, network analytics, and predictive maintenance. This role blends technical leadership with strategic alignment across business units and manages advanced analytics teams to deliver measurable business impact. Main tasks and responsibilities: Define and drive the data science roadmap across forecasting (demand, returns), route optimization, warehouse simulation, inventory management, and fraud detection Architect end-to-end pipelines with engineering teams: from data ingestion, model development, to API deployment Lead the design and deployment of ML models using Python (Scikit-Learn, XGBoost, PyTorch, LightGBM), and MLOps tools like MLflow, Vertex AI, or AWS SageMaker Collaborate with operations, product, and technology to prioritize AI use cases and define business metrics Manage experimentation frameworks (A/B testing, simulation models) and statistical hypothesis testing Mentor team members in model explainability, interpretability, and ethical AI practices Ensure robust model validation, drift monitoring, retraining schedules, and version control Contribute to organizational data maturity: feature stores, reusable components, metadata tracking Own team hiring, capability development, project estimation, and stakeholder presentations Collaborate with external vendors, universities, and open-source projects where applicable Education requirements: Bachelor’s or Master’s or PhD in Computer Science, Mathematics, Statistics, Operations Research Preferred: Certifications in Cloud ML stacks (AWS/GCP/Azure), MLOps, or Applied AI Competencies and skills: Strategic vision in AI applications across supply chain Team mentorship and delivery ownership Expertise in statistical and ML frameworks MLOps pipeline management and deployment best practices Strong business alignment and executive communication

Company Description 👋🏼We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in Job Description REQUIREMENTS: Total experience:11+years. Strong working knowledge in Machine Learning and NLP. Strong hands-on programming skills in Python, with expertise in libraries such as scikit-learn, pandas, NumPy, TensorFlow/PyTorch. Deep understanding of supervised and unsupervised learning, NLP, deep learning, and model evaluation techniques. Hands on experience in Generative AI. Proven experience in designing and deploying ML pipelines and data workflows at scale. Proficiency with MLOps tools. Experience with version control, containerization, and CI/CD in ML environments. Strong understanding of data preprocessing, feature selection, and model interpretability techniques. Experience with cloud platforms (AWS, GCP, Azure) for ML deployment. Familiarity with generative AI models and LLMs. Excellent communication and collaboration skills. RESPONSIBILITIES: Understanding functional requirements thoroughly and analyzing the client’s needs in the context of the project Envisioning the overall solution for defined functional and non-functional requirements, and being able to define technologies, patterns and frameworks to realize it Determining and implementing design methodologies and tool sets Enabling application development by coordinating requirements, schedules, and activities. Being able to lead/support UAT and production roll outs Creating, understanding and validating WBS and estimated effort for given module/task, and being able to justify it Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement Giving constructive feedback to the team members and setting clear expectations. Qualifications Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

Company Description About Sutherland Artificial Intelligence. Automation.Cloud engineering. Advanced analytics.For business leaders, these are key factors of success. For us, they’re our core expertise. We work with iconic brands worldwide. We bring them a unique value proposition through market-leading technology and business process excellence. We’ve created over 200 unique inventions under several patents across AI and other critical technologies. Leveraging our advanced products and platforms, we drive digital transformation, optimize critical business operations, reinvent experiences, and pioneer new solutions, all provided through a seamless “as a service” model. For each company, we provide new keys for their businesses, the people they work with, and the customers they serve. We tailor proven and rapid formulas, to fit their unique DNA.We bring together human expertise and artificial intelligence to develop digital chemistry. This unlocks new possibilities, transformative outcomes and enduring relationships. Sutherland Unlocking digital performance. Delivering measurable results. Job Description We are hiring a quality-focused AI Tester to design and execute validation frameworks for AI models and systems. Reporting to the AI Manager, this role ensures that AI solutions meet accuracy, performance, reliability, and ethical compliance benchmarks before production deployment. Key Responsibilities: Develop and execute test plans and cases for AI/ML models, GenAI solutions, and agent-based systems. Validate model outputs for accuracy, precision, recall, latency, and interpretability across diverse datasets. Conduct bias testing, data drift analysis, and adversarial robustness validation. Collaborate with AI developers, data scientists, and business analysts to define acceptance criteria. Automate testing pipelines and integrate with CI/CD environments where applicable. Maintain traceability matrices, defect logs, and model validation documentation. Qualifications Required Qualifications: 3–5 years of experience in software testing or QA, with at least 1–2 years in AI/ML or data-centric testing. Strong understanding of AI model evaluation metrics, data sampling, and validation techniques. Experience using testing frameworks (e.g., PyTest, Great Expectations) and visualization tools. Familiarity with Python, JSON, and REST APIs. Bachelor’s degree in Computer Science, Statistics, or a related field. Preferred Skills: Experience testing LLMs, GenAI prompts, or RAG workflows. Exposure to responsible AI frameworks and model audit practices. ISTQB or other QA certifications are a plus.

Project Role : Full Stack Engineer Project Role Description : Responsible for developing and/or engineering the end-to-end features of a system, from user experience to backend code. Use development skills to deliver innovative solutions that help our clients improve the services they provide. Leverage new technologies that can be applied to solve challenging business problems with a cloud first and agile mindset. Must have skills : Data Science Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Full Stack Engineer, you will be responsible for developing and engineering the end-to-end features of a system. Your typical day will involve collaborating with cross-functional teams to design and implement innovative solutions that enhance user experience and optimize backend processes. You will leverage new technologies to address complex business challenges while maintaining a cloud-first and agile approach, ensuring that the services provided to clients are continuously improved and aligned with their needs. Your role will require a balance of creativity and technical expertise to deliver high-quality software solutions that meet project requirements and client expectations. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with team members to design and implement new features. - Conduct code reviews to ensure quality and adherence to best practices. "• Experience with Hugging Face Transformers, LangChain, OpenAI APIs • Strong knowledge of machine learning libraries: scikit-learn, XGBoost, LightGBM • Experience with Retrieval-Augmented Generation (RAG): Faiss, Pinecone, Weaviate, ChromaDB • Training, fine-tuning, and optimizing transformer models (BERT, GPT, T5, LLaMA) • Deep understanding of self-attention, positional embeddings, sequence modeling • Strong NLP expertise: Named Entity Recognition (NER), topic modeling, text embeddings • Good grasp of linear algebra: vectors, matrices, eigenvalues, eigenvectors etc • Expertise in gradient descent, backpropagation, activation functions, loss functions • Experience with dimensionality reduction techniques for feature selection • Knowledge of time-series forecasting, anomaly detection, and probabilistic modeling • Understanding of model serving techniques, including REST APIs and real-time inference" "• Develop and fine-tune LLMs (GPT, BERT, T5, LLaMA, Mistral) for text generation, summarization, translation, and question-answering tasks. • Work with transformer-based architectures, understanding self-attention mechanisms, token embeddings, and model interpretability. • Implement custom tokenization techniques, text embedding models (Sentence-BERT, OpenAI Embeddings, Cohere, etc.), and efficient inference optimizations. • Apply prompt engineering and prompt tuning techniques to optimize model responses. • Work with LangChain and LLM orchestration frameworks to build AI-powered applications. • Build Retrieval-Augmented Generation (RAG) pipelines using vector databases like FAISS, Pinecone, Weaviate, ChromaDB. • Work with Hugging Face Transformers, spaCy, NLTK, and OpenAI APIs." Professional & Technical Skills: - Must To Have Skills: Proficiency in Python (Programming Language). - Good To Have Skills: Experience with JavaScript frameworks such as React or Angular. - Strong understanding of RESTful API design and development. - Familiarity with cloud platforms such as AWS or Azure. - Experience with database management systems like MySQL or PostgreSQL. "Must Have Skills: 1. Must have 5-7+ years of experience working as a Microsoft FED Angular. 2. Strong understanding of software development principles, design patterns, and best practices. 3. Develop, test, and maintain software applications using Angular and .NET. 4. Designing & developing user interfaces using angular best practices 5. Developing application code & unit tests in angular. 6. Experience in consuming Web API/ Rest API using Javascript. 7. Should have good troubleshooting and debugging skills Good to Have Skills: 1. Knowledge/Experience in Excel 2 Knowledge/Experience of Agile methodology and Sprint based project delivery Nice to Have Skills: 1. .Net Core 2. Agile Development Methodology 2. MySQL" "• Should be good team player. • Good Written & Verbal Communication skills • Good analytical and troubleshooting skills." Additional Information: - The candidate should have minimum 3 years of experience in Python (Programming Language). - This position is based at our Bengaluru office. - A 15 years full time education is required. Resource should be open to work in B Shift (Afternoon Shifts 12:30 to 10:30) during week days., 15 years full time education

Job Description First Solar reserves the right to offer you a role most applicable to your experience and skillset. Basic Job Functions: This position manages organizational strategy and operations through design and statistical analysis of business initiatives and experiments. Works with business partners to understand what the business needs and issues are to address. Applies advanced knowledge of statistics and data mining (e.g., predictive modelling, simulation) or other mathematical techniques to recognize patterns and create insights from business data. Designs, develops, and evaluates statistical and predictive models that lead to business solutions. Serves as lead statistician for the unit, providing expertise, oversight, and guidance on statistical analysis efforts. Communicate findings and recommendations to management across different departments. Supports implementation efforts. Should lead and mentor the team working in the Data Competency Centre. Education/Experience: Bachelor’s degree in data science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 8-10 years of relevant work experience in Data Science, Artificial Intelligence or Machine Learning algorithm development Master’s degree in data science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 5+ years of relevant work experience in Data Science, Artificial Intelligence or Machine Learning algorithm development PhD degree in Data Science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 4+ years of relevant work experience in Data Science, Artificial Intelligence or Machine Learning algorithm development Working knowledge of budgets and financial statements Required Skills/Competencies: Demonstrated skill of managing teams; Ability to coach and mentor team members to drive results Demonstrated experience with programming languages and statistical software tools (Python, SAS, R, JMP or similar), relational databases (SQL server), data analysis and visualization software (preferably PowerBI, SAS). Demonstrated experience with standard data science and machine learning packages such as Numpy, Pandas, Matplotlib, seaborn, bokeh, plotly Demonstrated experience with the machine learning model stack (regression, classification, neural networks, time series) and packages (Scikit learn, Xgboost, Keras, Pytorch, Tensorflow, statsmodels) Demonstrated experience of the machine learning model tradeoffs such as hyper-parameter tuning, regularization, cross-validation, skewness in data, dimensionality reduction, and complexity vs interpretability. Demonstrated experience with utilizing advanced descriptive statistics and analysis techniques (such as forecasting, analysis of variance, t-tests, categorical data analysis, nonparametric data analysis, cluster analysis, factor analysis and multivariate statistical analysis) design business experiments and measure the impact of business actions. Demonstrated experience with computer vision models (e.g. image classification, object detection, and segmentation) Demonstrated experience working with various business partners to scope and design the statistical framework for business solutions and socialize and help integrate results. Strong communication skills to work with groups, and experience with communicating business implications of complex data relationships and results of statistical models to multiple business partners. Essential Responsibilities: Statistical Analysis & Model Development Works with business partners to identify and scope new opportunities for statistical analysis applications to evaluate business performance and to support business decisions. Works internally and with I/S and Enterprise Data Management to define, secure and prepare datasets for statistical modeling. Explores data using a variety of statistical (e.g., data mining, regression, cluster analysis) techniques to answer business questions or guide future model development. Build programs for running statistical tests on data and for understanding correlation of various attributes. Builds hypotheses, identifies research data attributes and determines the best approach to address business issues. Working with business partners leads development of experimental design for business initiatives. Applies advanced statistical techniques, including analysis of variance, t-tests, factor analysis, regression and multivariate analyses or simulation, to analyze the effects of business initiatives. Build predictive models (e.g. logistic regression, generalized linear models) as appropriate to support business partner objectives. Builds and deploys computer vision models (e.g., image classification, object detection, segmentation) to meet business needs. Prepares testing scenarios and tests model performance. Incorporates findings and provides insights as part of model development and enhancement. Provides guidance and direction related to statistical analysis to less experienced Data Science & Analytics staff as needed. Provides peer review related to analytics methods and results. Responsible for advanced analytics, including experimental design and analysis, for the most complex business experiments. Model Consultation, Implementation, & Communication Serves as statistical expert within the unit as well as in consultation to various areas of the business, to support design and analysis of business experiments. Leads analytics projects or components related to large, complex business initiatives. Prepare recommendations and findings for business partners. Works with research and analytics staff and other areas of the business on model application and implementation. Effectively communicates and delivers statistical and predictive model results to business partners, supporting socialization and adoption of analysis results into business activities and decisions. Assists with knowledge transfer and training to business areas regarding new analytics applications as part of implementation process. Works closely with business stakeholders to identify and answer critical questions. Assists in the development of standard analytical approaches and methodologies for the department. Provides knowledge transfer and training on new modeling and statistical analysis tools and methodologies to less experienced staff. Industry Research Research and maintain awareness of industry’s best practices and business strategies. Proactively brings in new and innovative ideas and approaches to develop business solutions. Research and leverage new statistical techniques and technologies to apply in their statistical research work. Reporting Relationships: Will report to Head- Automation Digital Transformation USA This role will have direct reports Travel: Physical Requirements: Will sit and stand for long periods of time during the day. Will walk, climb stairs and on equipment. May reach above shoulder heights and below the waist May lift up to 50 lbs. Required to use hands to finger, lift, handle, carry or feel objects. May stoop, kneel, bend, talk and hear. Specific vision abilities are required. All associates working on the production floor may be required to wear a respirator at any given time and thus, the ability to wear a respirator is a condition of employment and continued employment (require little or no facial hair). Office Physical Requirements: All positions in our office require interaction with people and technology while either standing or sitting. To best service our customers, internal and external, all associates must be able to communicate face-to-face and on the phone with or without reasonable accommodation. First Solar is committed to compliance with its obligations under all applicable state and federal laws prohibiting employment discrimination. In keeping with this commitment, it attempts to reasonably accommodate applicants and employees in accordance with the requirements of the disability discrimination laws. It also invites individuals with disabilities to participate in a good faith, interactive process to identify reasonable accommodations that can be made without imposing an undue hardship. Potential candidates will meet the education and experience requirements provided on the above job description and excel in completing the listed responsibilities for this role. All candidates receiving an offer of employment must successfully complete a background check and any other tests that may be required. Equal Opportunity Employer Statement: First Solar is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that diversity and inclusion is a driving force in the success of our company. I have read and understand the above ‘Roles and Responsibilities’ for this position. I believe I meet the ‘Minimum Qualifications’ to perform the required ‘Essential Functions & Responsibilities’ to the best of my abilities.

Job Title : AI ML Engineer (Hybrid) Location: Gurgaon Experience: 5+ Years Job Description We are seeking a highly skilled and detail-oriented AI/ML Engineer with 5+ years of hands-on experience in building machine learning models, with a strong focus on anomaly detection and fraud detection . The ideal candidate will have practical expertise in Isolation Forest and other anomaly detection algorithms, along with a solid understanding of model interpretability , hyperparameter tuning , and variable distribution analysis . The role involves working closely with data science and product teams to design and deploy robust ML solutions that can detect irregular or suspicious patterns in data, especially for financial or transactional systems. Key Responsibilities Design and implement ML models for fraud and anomaly detection, using techniques like Isolation Forest, clustering, and statistical profiling. Work with large datasets to extract meaningful patterns and build predictive models. Conduct hyperparameter tuning and document tuning strategies and outcomes. Perform model interpretability analysis using SHAP, LIME, or similar frameworks, and prepare supporting documentation. Analyze variable distribution statistics and feature importance to refine model inputs. Collaborate with data engineers and product teams to integrate models into production pipelines. Continuously monitor model performance and refine as needed for accuracy, precision, and scalability. Mandatory Skills Strong experience in AI/ML model development (5+ years) Hands-on expertise in Isolation Forest and anomaly detection methods Experience in fraud detection use cases or systems Proficiency in Python and ML libraries (scikit-learn, pandas, NumPy, etc.) Knowledge of model tuning, interpretability tools, and data profiling Excellent documentation skills for modeling workflows, parameters, and outcomes Preferred Skills Experience with cloud platforms (AWS, Azure, GCP) Familiarity with big data tools (Spark, Hadoop) Exposure to real-time model deployment or streaming data environments Understanding of risk and compliance in financial data systems Let me know if you'd like this converted into a PDF or formatted for LinkedIn, Naukri, or internal HR sharing.

We are looking for a skilled Generative AI Developer to be a part of our team and contribute to the development of advanced generative models. In this role, you will focus on creating AI systems that have the ability to produce innovative and human-like content across various domains such as natural language generation, image generation, and even video or music synthesis. To excel in this position, you should possess expertise in machine learning, deep learning, and natural language processing, along with a thorough understanding of specific generative models like GANs, VAEs, and other neural networks. Your responsibilities will involve developing and refining generative models using techniques such as GANs, VAEs, Transformers, and Diffusion models. You will also be working on tasks related to text generation, image generation, music or sound generation, video creation, and other creative AI applications. Furthermore, you will be expected to design, construct, and deploy models utilizing frameworks like TensorFlow, PyTorch, Hugging Face, OpenAI's GPT, or similar tools. It will be crucial to optimize AI models for performance, accuracy, and scalability in real-world production environments. Staying updated on the latest trends, research papers, and breakthroughs in the field of generative AI will also be a part of your role. Collaboration with other teams, such as data scientists, machine learning engineers, and product teams, to integrate models into production systems will be essential. Additionally, you will work on data preprocessing, augmentation, and designing pipelines to ensure high-quality input for model training. Documenting your code, processes, and model outputs for team-wide visibility and knowledge sharing will also be a key aspect of your responsibilities. **Required Qualifications & Skills:** - Bachelor's or Master's degree in Computer Science or related fields. - 3-4 years of hands-on experience in developing Generative AI solutions. - Strong understanding of deep learning algorithms, particularly in generative models like GANs, VAEs, Diffusion models, or large-scale language models like GPT. - Hands-on experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or Hugging Face. - Experience working with neural networks, unsupervised learning, and natural language processing. - Proficient programming skills in Python, including deep learning libraries like TensorFlow, Keras, and PyTorch. - Familiarity with cloud platforms (AWS, GCP, or Azure) for model training and deployment. - Solid mathematical and statistical knowledge, especially in probability theory, linear algebra, and optimization. - Experience in large-scale model training, fine-tuning, or distributed computing. - Knowledge of reinforcement learning and self-supervised learning. - Understanding of AI ethics, bias mitigation, and interpretability in generative models.,

Company Description 👋🏼We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in Job Description REQUIREMENTS: Total experience:7+years. Strong working knowledge in Machine Learning and NLP. Strong hands-on programming skills in Python, with expertise in libraries such as scikit-learn, pandas, NumPy, TensorFlow/PyTorch. Deep understanding of supervised and unsupervised learning, NLP, deep learning, and model evaluation techniques. Proven experience in designing and deploying ML pipelines and data workflows at scale. Proficiency with MLOps tools. Experience with version control, containerization, and CI/CD in ML environments. Strong understanding of data preprocessing, feature selection, and model interpretability techniques. Experience with cloud platforms (AWS, GCP, Azure) for ML deployment. Familiarity with generative AI models and LLMs. Excellent communication and collaboration skills. RESPONSIBILITIES: Understanding functional requirements thoroughly and analyzing the client’s needs in the context of the project Envisioning the overall solution for defined functional and non-functional requirements, and being able to define technologies, patterns and frameworks to realize it Determining and implementing design methodologies and tool sets Enabling application development by coordinating requirements, schedules, and activities. Being able to lead/support UAT and production roll outs Creating, understanding and validating WBS and estimated effort for given module/task, and being able to justify it Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement Giving constructive feedback to the team members and setting clear expectations. Qualifications Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

We are seeking an experienced and highly motivated Data Scientist with a strong background in backend development and AI/ML engineering. The ideal candidate will have solid experience in building, deploying, and scaling machine learning solutions using Python and modern ML frameworks. Key Responsibilities: Design, develop, and deploy machine learning models, including advanced architectures such as Large Language Models (LLMs). Collaborate with cross-functional teams to build scalable AI-driven solutions using robust software engineering principles. Leverage Python and object-oriented programming techniques to create efficient, maintainable, and production-grade ML pipelines. Work with popular machine learning frameworks such as TensorFlow , PyTorch , and Scikit-learn for model development and experimentation. Integrate AI/ML models into applications using RESTful APIs and ensure performance, scalability, and reliability. Utilize tools such as Hugging Face , LangChain , and OpenAI APIs to build and fine-tune NLP and generative AI models. Implement and manage containerized services using Docker , enabling smooth deployment and reproducibility of ML solutions. Apply best practices in version control (Git) and software development lifecycles to support collaborative and agile workflows. Design, develop, and maintain relational databases (e.g., MySQL , PostgreSQL , Oracle ) to support data-driven applications. Contribute to the design and implementation of microservices-based architectures for AI/ML systems. Understand and apply agent communication protocols and multi-agent system design (e.g., MCP) where relevant to AI applications. Analyze large datasets, derive actionable insights, and drive continuous model improvements. Required Skills and Qualifications: 4+ years of experience in data science, machine learning, or backend development roles. Proficiency in Python and strong foundations in object-oriented programming . Hands-on experience with machine learning model lifecycle — from training to production deployment and monitoring. Familiarity with scalable system design and microservices architecture. Excellent problem-solving skills, attention to detail, and a strong understanding of data structures and algorithms. Effective communication and collaboration skills, with the ability to work in a dynamic team environment. Preferred Qualifications: Generative AI Expertise: Practical experience and in-depth knowledge of Generative AI technologies, including Large Language Models (LLMs) such as GPT, LLaMA, and their real-world applications. Prompt Engineering & Model Optimization: Proficiency in prompt engineering, fine-tuning LLMs, and evaluating the performance and effectiveness of AI/ML models. AI System Architecture: Familiarity with orchestration frameworks and agent-based system architectures for building modular and intelligent AI solutions. Advanced AI Tooling: Experience working with and integrating state-of-the-art AI tools, platforms, and APIs into scalable systems. Innovation Mindset: Demonstrated ability to creatively apply AI/ML — including Generative AI and LLMs — to solve complex problems and deliver business value, especially in the payment technology or fintech domains. Cross-Functional Collaboration: Strong communication skills with a proven track record of working effectively in cross-disciplinary teams, including product, engineering, and data stakeholders. Responsible AI Practices: Knowledge of ethical AI principles, including model interpretability, fairness, responsible AI deployment, and ongoing model monitoring.

The HiLabs Story HiLabs is a leading provider of AI-powered solutions to clean dirty data, unlocking its hidden potential for healthcare transformation. HiLabs is committed to transforming the healthcare industry through innovation, collaboration, and a relentless focus on improving patient outcomes. HiLabs Team Multidisciplinary industry leaders Healthcare domain experts AI/ML and data science experts Professionals hailing from the worlds best universities, business schools, and engineering institutes including Harvard, Yale, Carnegie Mellon, Duke, Georgia Tech, Indian Institute of Management (IIM), and Indian Institute of Technology (IIT). As a Data Scientist at HiLabs, you will partner closely with a team of stake holders, product managers, and data engineers to solve real problems in healthcare domain. HiLabs is looking for great problem solvers who can tap into the potential of data and deliver scalable and robust data products. Our potential member would work on developing and implementing machine learning algorithms for various HiLabs Products and Solutions. Responsibilities Leveraging AI/ML techniques and solutions to identify and mathematically interpret complex healthcare problems. Deploy and optimize machine learning solutions on massive datasets using big data technologies. Develop and prototype AI algorithms and software tools. Implement enhancements to existing algorithmic/deep learning solutions. Conduct quantitative data analysis using a variety of datasets. Increase the efficiency and improve the quality of solutions offered. Understand business use cases and pull the necessary data from various sources to provide key insights to stakeholders. Build and deploy additional functionalities as per client requirements. Leverage recent advances in machine learning technologies and oversee the team’s training. For Lead/Sr. Data Scientists-Lead a team of Data Scientists, developers as well as clinicians to strategize, design and evaluate AI based solutions to healthcare problems. Desired Profile:. Bachelor’s Degree/Master’s Degree in Computer Science, Mathematics, Statistics, Physics, Electrical Engineering, Computer Engineering or related fields from tier 1 college. Hands-on Software Development Skills (Scala-Preferred). Experience or educational courses/projects in Machine Learning, and/or Text Mining Algorithms. Knowledge of statistical techniques, linear algebra, numerical optimization. Knowledge of ML theory such as bias variance tradeoff, regularization, loss functions and experienced in A/B testing. Know all the general best practices of Machine Learning. Ability to work closely with Domain experts to develop tools/algorithms needed to answer research questions in their studies. Excellent Communication Skills (with the ability to explain developed tools and ML algorithms to a non-technical audience). Ability to formulate operational problems in healthcare domain as technical problems that allows for reuse of leading research in the area. Proven ability to work independently to learn new technologies, techniques, processes, languages, platforms, systems. Strong analytical, inferential, critical thinking, and creative problem-solving skills. Self-starter with ability to work both independently and with a team. Preferred Qualifications Experience with Deep Learning Frameworks such as Keras, Tensorflow, PyTorch,Mxnet etc. Experience with interpretability of deep learning models. Big Data Skills (Hadoop, Spark, recent deep learning platforms). Experience with text mining tools and techniques including in areas of summarization, search (e.g. ELK Stack), entity extraction, training set generation (e.g. Snorkel) and anomaly detection. Expert software development skills including developing and maintaining production quality code HiLabs Total Rewards Competitive Salary, Accelerated Incentive Policies, H1B sponsorship, Comprehensive benefits package that includes ESOPs, financial contribution for your ongoing professional and personal development, medical coverage for you and your loved ones, 401k, PTOs & a collaborative working environment, Smart mentorship, and highly qualified multidisciplinary, incredibly talented professionals from highly renowned and accredited medical schools, business schools, and engineering institutes. CCPA disclosure notice - https://www.hilabs.com/privacy

Coditas Solutions is seeking a highly skilled and motivated Lead Data Scientist to join our dynamic team. As a Data Scientist, you will play a key role in designing, implementing, and optimizing machine learning models and algorithms to solve complex business challenges. If you have a passion for leveraging AI and ML technologies to drive innovation, this is an exciting opportunity to contribute to groundbreaking projects. Roles and Responsibilities ● Lead the design, implementation, and optimization of machine learning and AI models using Python and R. ● Develop and deploy scalable predictive models and decision-making systems for business-critical applications. ● Conduct advanced exploratory data analysis (EDA) to extract actionable insights from structured and unstructured data. ● Collaborate with data engineers to ensure high-quality, well-structured datasets for training and inference. ● Own the end-to-end model lifecycle, from development to deployment, monitoring, and continuous improvement. ● Guide the integration of AI/ML models into enterprise-level production systems in collaboration with software engineering teams. ● Provide technical leadership, mentoring junior data scientists and driving best practices in ML model development and deployment. ● Stay ahead of the curve by evaluating and implementing cutting-edge AI/ML advancements, including LLMs and GenAI models. ● Work closely with stakeholders, product teams, and clients to define business challenges and design AI-driven solutions. ● Drive model interpretability, explainability, and responsible AI practices within the organization. Technical Skills ● 6-14 years of hands-on experience in designing and implementing machine learning, deep learning, and AI solutions . ● Strong programming expertise in Python and R , with proficiency in implementing complex algorithms. ● Extensive experience with cloud platforms (AWS, Azure, GCP) for deploying scalable machine learning solutions. ● Proficiency in MLOps practices , ensuring robust model deployment, monitoring, and retraining workflows. ● Strong background in classical ML algorithms (e.g., linear regression, logistic regression, decision trees, random forests, SVM) and deep learning architectures (CNNs, RNNs, Transformers). ● Hands-on experience with ML/DL libraries such as Scikit-learn, TensorFlow, PyTorch, Keras, NLTK, OpenCV . ● Expertise in data preprocessing, feature engineering, and model evaluation for structured and unstructured data. ● Proven experience in selecting and engineering relevant features to enhance model performance. ● Understanding of LLMs (Large Language Models) and GenAI technologies , with the ability to optimize their usage for enterprise applications. ● Strong problem-solving, critical thinking, and analytical skills to drive AI/ML innovations. ● Exceptional communication and leadership skills , with experience in mentoring teams and collaborating with cross-functional stakeholders.