front end engineer

senior software engineer

software engineer i

machine learning engineer

Golden Opportunities

<div>
 
 Job Description
 
 
 
 Role and Responsibilities:
 
 
 Collect, clean, and preprocess large datasets from various sources and conduct exploratory data analysis to extract insights and identify key features.
 
 
 Design, develop, and validate machine learning models to solve business problems
 
 
 Collaborate with product managers, analysts, and engineers to translate business needs into technical solutions.
 
 
 Deploy ML models into business insights through reports, dashboards, and presentations.
 
 
 Monitor model performance and update models as needed to adapt to data drift or business changes.
 
 
 Maintain documentation on datasets, modelling processes, and results.
 
 
 Stay up to date with the latest machine learning techniques and tools.
 
 
 
 Key Skillset
 
 
 
 Should have experience in Machine learning, LLM, deep learning.
 
 
 Should have experience in data analysis, statistical modelling, and programming skills with advanced machine learning.
 
 
 
 Skills Required
 
 
 
 RoleAssociate - Data Scientist
 
 
 Industry TypeITES/BPO/KPO
 
 
 Functional AreaITES/BPO/Customer Service
 
 
 Required Education Bachelor
 
 
 Employment TypeFull Time, Permanent
 
 
 Key Skills
 
 
 <ul>
 <li>
 DATA SCIENCE
 </li>
 <li>
 AI ENGINEER
 </li>
 <li>
 MACHINE LEARNING
 </li>
 <li>
 DATA SCIENTIST
 
 
 </li>
 </ul>
 Other Information
 
 
 Job CodeGO/JC/1134/2025
 
 
 Recruiter NameDivya R
</div>

Associate - Data Scientist - GO/JC/1134/2025

Coforge

<div>
 
 
 About the Company
 
 
 
 
 
 
 
 
 
 The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.
 
 
 
 
 
 
 
 
 
 About the Role
 
 
 
 
 
 
 
 
 
 A Developer, you will design, develop, train, and implement machine learning and deep learning models capable of processing large datasets and generating actionable insights.
 
 
 
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Strong Programming skills in Python or Scala.
 </li>
 <li>
 Hands-on experience in vector databases like Pinecone, and Chroma db.
 </li>
 <li>
 Deep knowledge of AI technologies like machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn (e.g., APIs, microservices, event-driven IT, MLflow).
 </li>
 <li>
 Extensive experience writing production-ready code, hands-on experience with different programming paradigms and (MLOps and DevSecOps).
 </li>
 <li>
 Practical and professional experience contributing to and maintaining a large code base with code versioning systems such as Git.
 </li>
 <li>
 Minimum 8-10 years of experience in implementing automation initiatives based on Gen AI / ML, NLP, CPA, CoPilot, Gemini, RPA and other tools.
 </li>
 <li>
 Hands-on experience on programming (Python, Scala) and working with Gen-AI frameworks, LLM Models.
 </li>
 <li>
 Hands-on Experience to all SDLC Phases.
 </li>
 <li>
 Deploy AI models into production environments, ensuring they integrate smoothly with existing software systems.
 </li>
 <li>
 Monitor, update &amp; refine the performance of deployed models.
 </li>
 <li>
 Should be skilled in problem-solving, Data analysis and Interpretation, pattern recognition, Algorithmic thinking, critical thinking, debugging and troubleshooting.
 </li>
 <li>
 Automate model packaging and deployment into production environments, with traceability on model version, experimentation and control checks.
 </li>
 <li>
 Building automated model performance monitoring services to monitor model health and report data to data scientists, model owner, and model validators.
 </li>
 <li>
 Builds and mentors architecture teams.
 </li>
 <li>
 Have the mindset to build Enterprise-grade solutions aligned to the industry's best practices.
 </li>
 <li>
 Build reusable frameworks and platforms to allow data scientists, devops teams to train and deploy models.
 </li>
 <li>
 Exceptional written, verbal, and interpersonal communication skills to articulate strategies to technical audiences.
 </li>
 <li>
 Collaborate to create propositions on AI / GenAI for clients.
 </li>
 <li>
 Willingness to quickly learn and start using various technologies and contribute to the COE.
 </li>
 </ul>
 
 
 
 
 
 
 
 Qualifications
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Mandatory Skills: PYTHON
 </li>
 </ul>
 
 
 
 
 
 
 
 Required Skills
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Strong Programming skills in Python or Scala.
 </li>
 <li>
 Hands-on experience in vector databases like Pinecone, and Chroma db.
 </li>
 <li>
 Deep knowledge of AI technologies like machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
 </li>
 </ul>
 
 
 
 
 
 
 
 Preferred Skills
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Experience with MLOps and DevSecOps.
 </li>
 <li>
 Hands-on experience with Gen AI / ML, NLP, CPA, CoPilot, Gemini, RPA.
 </li>
 </ul>
 
 
</div>

Data Scientist

Nokia

<div>
 
 Job Description
 
 
 
 As a Senior Data Scientist focusing on Autonomous Networks at Nokia, you will be a key player on a dynamic team dedicated to revolutionizing telecom services through AI and machine learning. You will work closely with cross-functional teams, including engineers, product managers, and executive stakeholders, to design and implement cutting-edge data-driven solutions tailored for Communication Service Providers. You will engage directly with customers to understand their needs and drive the deployment of scalable AI/ML use cases that enhance network efficiency and performance.
 
 
 
 How You Will Contribute And What You Will Learn
 
 
 
 <ul>
 <li>
 Design, develop, and deploy AI/ML solutions for Autonomous Networks (AN).
 </li>
 <li>
 Build and manage cognitive data products for large-scale telecom AI/ML deployments.
 </li>
 <li>
 Research and implement advanced ML techniques to enhance existing systems.
 </li>
 <li>
 Collaborate with CSP customers to create scalable, data-driven solutions.
 </li>
 <li>
 Manage the complete data lifecycle, from ingestion to monitoring and retraining.
 </li>
 <li>
 Serve as a senior subject matter expert for data science and ML in AN, contributing to business development and technology evaluation.
 
 
 </li>
 </ul>
 
 Key Skills And Experience
 
 
 
 You have:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master&rsquo;s in Computer Science, Statistics, Data Science, Mathematics, or a related field.
 </li>
 <li>
 15+ years total experience, including 10+ years in telecom and 5+ years in AI/ML &amp; cloud technologies.
 </li>
 <li>
 Knowledge of telecom network data (OSS/BSS, CDRs, performance, fault, CX data).
 </li>
 <li>
 Expertise in Python, SQL, PySpark, TensorFlow/PyTorch, and Scikit-learn.
 </li>
 <li>
 Experience with Vertex AI, Red Hat OpenShift AI, and Kubernetes.
 
 
 </li>
 </ul>
 It would be nice if you also had:
 
 
 <ul>
 <li>
 Familiarity with network automation, service assurance, and intent-based networking.
 </li>
 <li>
 Pre-sales experience like RFPs, solution demos, customer workshops.
 </li>
 <li>
 Knowledge of Data Mesh, Data Fabric, and MLOps frameworks.
 </li>
 <li>
 Experience with Snowflake, Databricks, Kafka, Flink, Airflow, and visualization tools like Tableau or Power BI.
 
 
 </li>
 </ul>
 
 About Us
 
 
 
 
 Come create the technology that helps the world act together
 
 
 
 Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people&rsquo;s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world.
 
 
 We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work
 
 
 
 What we offer
 
 
 
 Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered.
 
 
 
 Nokia is committed to inclusion and is an equal opportunity employer
 
 
 
 Nokia has received the following recognitions for its commitment to inclusion &amp; equality:
 
 
 <ul>
 <li>
 One of the World&rsquo;s Most Ethical Companies by Ethisphere
 </li>
 <li>
 Gender-Equality Index by Bloomberg
 </li>
 <li>
 Workplace Pride Global Benchmark
 
 
 </li>
 </ul>
 At Nokia, we act inclusively and respect the uniqueness of people. Nokia&rsquo;s employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law.
 
 
 We are committed to a culture of inclusion built upon our core value of respect.
 
 
 Join us and be part of a company where you will feel included and empowered to succeed.
 
 
 
 About The Team
 
 
 
 As Nokia's growth engine, we create value for communication service providers and enterprise customers by leading the transition to cloud-native software and as-a-service delivery models. Our inclusive team of dreamers, doers and disruptors push the limits from impossible to possible.
</div>

Domain Architect - Data Science

Microsoft

<div>
 We are part of Web Experiences and Services Team (WEST) within the Office Online Product Group, focused on building AI Ops solutions for Online Microsoft Word, Excel, PowerPoint, OneNote, and their shared services. Our mission is to leverage AI and ML to enhance live site management, automate incident resolution, accelerate root cause analysis and prevent incidents proactively. We are focussing on anomaly detection, predictive analytics, and error log analysis to enable more scalable and generalized solutions, driving reliability and efficiency across Office Online applications.
 
 
 We are looking for a
 
 Senior Applied Scientist
 
 who is passionate about applying AI and ML to incident management and site reliability. You will work as part of a multidisciplinary team, collaborating with engineers, data scientists, and domain experts to develop state-of-the-art solutions that will transform how Office Online handles site reliability and incident prevention.
 
 
 At Microsoft, we are committed to diversity, inclusion, and innovation, ensuring that we build great workplaces and great products.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Collaborate with engineers, product teams, and partners to drive innovation in AI-powered site reliability.
 </li>
 <li>
 Develop and implement AI-driven scalable solutions for incident management and prevention, incident root cause analysis across Office Online applications.
 </li>
 <li>
 Build AI\ML powered solutions like anomaly detection, predictive analytics, and error log analysis etc. for faster mitigation and prevention of incidents.
 </li>
 <li>
 Ensure end-to-end integration of ML\AI powered solutions in production, including deployment, monitoring, and refinement, leveraging cloud-based machine learning platforms (e.g., AWS SageMaker, Azure ML Service, Databricks) and MLOps tools (MLflow, Tecton, Pinecone, Feature Stores)
 </li>
 <li>
 Prototype new approaches in ML\AI, SLM, AI Agents, Agentic workflows etc. to design, run, and analyze experiments for incident detection, mitigation and resolution.
 </li>
 <li>
 Fundamentals: champion and set example in customer obsession, data security, performance, observability and reliability.
 </li>
 <li>
 Optimize AI pipelines, automate responses to incidents, and create a feedback loop for continuous improvement.
 </li>
 <li>
 Stay ahead of emerging trends in AI/ML.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics predictive analytics, research)
 </li>
 <ul>
 <li>
 OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research)
 </li>
 <li>
 OR equivalent experience.
 </li>
 </ul>
 <li>
 Excellent coding and debugging skills with deep understanding of ML\AI algorithms and data science problems.
 </li>
 <li>
 Experience with ML techniques such as deep learning, predictive modelling, time series data analysis
 </li>
 <li>
 Excellent communication skills, including the ability to translate complex AI concepts into actionable insights for product teams
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Passion for new technologies, learning and adapting quickly, end user quality and customer satisfaction.
 </li>
 <li>
 Understanding of AI-driven operations, site reliability engineering (SRE), and production ML systems.
 </li>
 <li>
 Expertise in AI Ops, anomaly detection, error log analysis and incident management solutions.
 </li>
 <li>
 Awareness and understanding of emerging research and technologies related to live site and incident management like Agentic workflows for site reliability management.
 </li>
 <li>
 Effective verbal, visual and written communication skills.
 
 
 </li>
 </ul>
 Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>

Senior Applied Scientist

<div>
 Job Title: Associate Vice President (AVP) &ndash; AI/ML (Generative AI, Agentic &amp; LLM/VLM Technologies)Experience: ;12 to 16 yearsLocation: ;NCRDepartment: ;Artificial Intelligence / Machine Learning / Emerging TechnologiesJob Summary:We are looking for a visionary and technically hands-on Associate Vice President (AVP) to lead strategic AI/ML initiatives focused on Generative AI, LLMs/VLMs, and Agentic Technologies. This role blends deep technical proficiency with people and program management, driving the development and deployment of next-generation AI systems across the organization.Key Responsibilities:Leadership &amp; Team Management:Lead and manage a high-performing team of AI/ML engineers and data scientists.Foster a culture of innovation, experimentation, and continuous improvement.Provide technical direction, mentorship, and career development support.Project &amp; Stakeholder Management:Gather and translate business requirements into AI/ML solutions.Manage project timelines, resources, and deliverables across cross-functional teams.Communicate progress, challenges, and opportunities to senior stakeholders and executives.Technical Execution &amp; Innovation:Design, fine-tune, and deploy LLMs and VLMs for domain-specific and general-purpose use cases.Build and operationalize Agentic AI systems that leverage autonomous agents capable of reasoning, planning, and interacting with users, environments, and other agents.Develop and implement Agentic Technology frameworks, including task orchestration, memory management, and multi-agent collaboration.Leverage the NVIDIA stack (CUDA, TensorRT, Triton Inference Server, etc.) for high-performance model training and deployment.Build scalable ML pipelines and inference services using Python, PyTorch, TensorFlow, HuggingFace, and similar frameworks.Research &amp; Thought Leadership:Stay current with cutting-edge research in Generative AI, LLMs/VLMs, Agentic Systems, and AI Infrastructure.Drive PoCs and pilot programs to evaluate new technologies and their business impact.Represent the AI function in strategic discussions, product roadmaps, and technology planning.Key Skills &amp; Experience:12&ndash;16 years of experience in AI/ML, with a minimum of 5 years in a leadership role.Proven track record in LLM/VLM fine-tuning, deployment, and real-world implementation.Deep expertise in Agentic AI technologies, autonomous agents, multi-agent systems, Observability, MCP/ A2A and decision-making architectures.Strong background in Generative AI, including prompt engineering, RAG, and synthetic data generation.Hands-on experience with NVIDIA AI stack (CUDA, TensorRT, Triton, etc.) for optimized training/inference workflows.Strong proficiency in Python, with practical experience using ML frameworks like PyTorch, TensorFlow, HuggingFace Transformers.Excellent communication and stakeholder management skills.
</div>

Assistant Vice President

ANRA Technologies

<div>
 ANRA Technologies is looking for a
 
 versatile and creative Graphic Designer
 
 with a strong grasp of
 
 UI/UX design principles
 
 to join our international team. You&rsquo;ll play a key role in shaping both the visual identity of our brand and the user experience of our SaaS applications, creating designs that are consistent, engaging, and built with purpose.
 
 
 
 Employment
 
 
 
 Full Employment
 
 
 City
 
 
 Noida, UP
 
 
 
 Schedule
 
 
 
 Full Time / WFO
 
 
 
 Experience
 
 
 
 5 years
 
 
 
 About ANRA
 
 
 
 ANRA Technologies, with offices in Washington DC, London, New Delhi and Estonia, is an international provider of drone operations and traffic management solutions for unmanned aircraft systems (UAS) operators and airspace managers. We offer intelligent Machine Learning and AI driven traffic management software capabilities for UAS Traffic Management (UTM) and Urban Air Mobility (UAM) operations.
 
 
 
 Required Skills
 
 
 
 <ul>
 <li>
 Creative Direction and Brand Consistency
 </li>
 <li>
 Define and uphold visual standards across product and marketing.
 </li>
 <li>
 Translate strategy into design concepts that strengthen brand identity.
 </li>
 <li>
 Build and evolve a scalable design system for consistent, high-quality output across all touchpoints.
 </li>
 <li>
 Product Design &amp; User Experience
 </li>
 <li>
 Partner with product managers and engineers to turn user insights into clean, functional interfaces.
 </li>
 <li>
 Create wireframes, user flows, and prototypes that communicate design intent clearly
 </li>
 <li>
 Design intuitive UI elements and interactions that simplify complex B2B workflows.
 </li>
 <li>
 Iterate based on feedback and usability testing to enhance overall product experience.
 </li>
 <li>
 Marketing &amp; Growth Design
 </li>
 <li>
 Design and adapt creative assets including landing pages, banners, brochures, case studies, and event booths.
 </li>
 <li>
 Deliver cohesive visual storytelling across digital, print, and social channels.
 </li>
 <li>
 Support marketing initiatives with visuals that communicate value and drive engagement.
 </li>
 <li>
 Collaboration &amp; Innovation
 </li>
 <li>
 Work cross-functionally with product, marketing, and leadership to align design with business goals.
 </li>
 <li>
 Bring fresh, informed ideas by staying current on design trends, UX research, and emerging tools.
 </li>
 <li>
 Contribute strategically, not just through execution, but by shaping how design supports product growth and brand identity.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 5+ years of experience in UI/UX and Graphic Design, preferably in SaaS or B2B tech environments.
 </li>
 <li>
 Proven ability to design for both digital products and brand communications with a focus on clarity and usability.
 </li>
 <li>
 Strong command of Figma and Adobe Creative Suite (Illustrator, Photoshop, InDesign).
 </li>
 <li>
 Solid understanding of UX principles, interaction design, responsive layouts, and accessibility best practices.
 </li>
 <li>
 Experience developing or maintaining design systems for scalable, consistent design.
 </li>
 <li>
 Excellent communication and presentation skills, able to articulate design decisions clearly and collaborate effectively.
 </li>
 <li>
 Highly organized and self-driven, comfortable managing multiple projects in a fast-paced environment.
 
 
 </li>
 </ul>
 Leave a CV
</div>

Graphic and UI/UX Designer

Daalchini - Smart Vending Machines

<div>
 
 Selected Intern's Day-to-day Responsibilities Include
 
 
 
 <ul>
 <li>
 Coordinate the onboarding process of new franchise partners and ensure timely machine installations.
 </li>
 <li>
 Act as the primary point of contact for daily issue resolution and operational queries.
 </li>
 <li>
 Build and maintain strong relationships with franchise partners, ensuring satisfaction and timely support.
 </li>
 <li>
 Track, document, and resolve technical or operational issues by coordinating with internal teams.
 </li>
 <li>
 Ensure smooth communication between franchisees and the Daalchini operations/support teams.
 </li>
 <li>
 Assist in training franchise partners on software, operations, and customer handling.
 </li>
 <li>
 Provide feedback and insights to improve franchise support processes.
 
 
 </li>
 </ul>
 About Company: Daalchini is a physical marketplace for traditional Indian home-cooked food, provided by a network of home-based cooks/tiffin services, through the Internet of Things (IoT-based vending machines called DaalchiniHut).
</div>

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