(immediate joiner) mern/full stack developers

science

Better Analytics Private Limited

We are looking for a motivated AI/ML Intern to join our team and work on real-world machine learning and generative AI projects. This internship offers hands-on experience in building, training, and deploying AI models while collaborating with experienced engineers and product teams.Key Responsibilities<ul><li>Assist in developing and implementing machine learning models.</li><li>Work with structured and unstructured datasets for data preprocessing and analysis.</li><li>Build and evaluate predictive models using Python and popular ML libraries.</li><li>Develop AI-powered applications using Large Language Models (LLMs) and prompt engineering.</li><li>Experiment with Retrieval-Augmented Generation (RAG) and vector databases.</li><li>Support model deployment, testing, and performance optimization.</li><li>Research emerging AI technologies and contribute innovative ideas.</li><li>Document experiments, findings, and technical implementations.</li></ul>Required Skills<ul><li>Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.</li><li>Strong programming skills in Python.</li><li>Basic understanding of machine learning concepts and algorithms.</li><li>Familiarity with libraries such as Scikit-learn, Pandas, NumPy, TensorFlow, or PyTorch.</li><li>Knowledge of SQL and data analysis.</li><li>Understanding of Generative AI, LLMs, or prompt engineering is a plus.</li><li>Strong analytical and problem-solving skills.</li><li>Good communication and teamwork abilities.</li></ul>Preferred Qualifications<ul><li>Experience with LangChain, LlamaIndex, or similar AI frameworks.</li><li>Familiarity with APIs, REST services, or FastAPI.</li><li>Knowledge of Git and version control.</li><li>Experience with cloud platforms (AWS, Azure, or GCP) is a plus.</li><li>Personal, academic, or open-source AI/ML projects are highly valued.</li></ul>Internship Details<ul><li>Employment Type: Internship</li><li>Duration: 3&ndash;6 months</li><li>Work Mode: On-site</li></ul>Pay: ₹15,000.00 - ₹20,000.00 per monthWork Location: In person

AI/ML Intern (Machine Learning & Generative AI)

Humaniquee

HUMANIQUEEECreating OpportunitiesJob DescriptionAI Elective Faculty &ndash; 3-Year Degree ProgramsLOCATIONIndore, Madhya PradeshEXPERIENCE2+ Years in Industry / AcademiaEMPLOYMENT TYPEFull-Time / Part-TimePROGRAM3-Year Degree ProgramAbout the RoleHumaniqueee is hiring an AI Elective Faculty member to design, teach, and inspire students through a dedicated AI elective track spanning all three years of our 3-year degree programs. This role is ideal for an experienced professional or academic who is passionate about shaping the AI-ready workforce of tomorrow.What You Will DoTeach &amp; Inspire: Deliver AI elective modules across all 3 years (Foundation, Application, Specialization &amp; Capstone).Guide &amp; Mentor: Support students in hands-on labs, projects, and capstone development.Industry Connect: Bring real-world use cases, tools, and best practices into the classroom.Assess &amp; Evaluate: Continuously assess learning, projects, and outcomes.Innovate &amp; Improve: Contribute to curriculum updates and tool refresh in line with industry trends.What We ExpectStrong industry or academic background in AI/ML, Data Science, or related fields.Hands-on experience with AI tools and real-world projects.Excellent communication and mentoring skills.Passion for teaching and student success.Commitment to ethics, responsible AI, and academic integrity.Our AI Elective Track (3 Semesters Over 3 Years)Year 1 &ndash; FoundationAI Literacy + Everyday Productivity in the DisciplineYear 2 &ndash; ApplicationField-Specific AI Tooling and WorkflowsYear 3 &ndash; Specialization &amp; CapstoneIndustry-Grade Pipelines &amp; Portfolio-Quality Capstone&ldquo;One Track. Three Years. Limitless Impact.&rdquo;Why Join UsImpact Learning &ndash; shape how the next generation engages with AI.Build Tomorrow &ndash; help design an industry-relevant, future-ready curriculum.Grow Together &ndash; be part of a collaborative, mission-driven team.Make an Impact Every Day &ndash; mentor students from foundation to capstone success.Pay: ₹472,403.35 - ₹576,224.64 per yearBenefits:<ul><li>Provident Fund</li></ul>Experience:<ul><li>AI tools : 3 years (Required)</li><li>Data science: 3 years (Required)</li></ul>Work Location: In person

AI Engineer

NIIT Foundation

Job description:Role OverviewThe Placement Coordinator &ndash; STEM is responsible for connecting students or trainees with employment opportunities in science and technology fields. This role focuses on aligning candidate skills with industry requirements in areas such as software development, data science, engineering, research, and emerging technologies.Key Responsibilities 1. Industry Engagement &amp; Partnerships<ul><li>Build and maintain relationships with IT companies, engineering firms, R&amp;D organizations, and startups</li><li>Identify hiring needs in domains like AI, data science, software engineering, electronics, and mechanical fields</li><li>Coordinate campus recruitment drives and industry interactions</li></ul>2. Candidate Skill Assessment &amp; Alignment<ul><li>Evaluate students&rsquo; technical skills, projects, and certifications</li><li>Match candidates with suitable job roles (developer, analyst, engineer, researcher, etc.)</li><li>Identify skill gaps and collaborate with trainers/faculty to address them</li></ul>3. Pre-Placement Training &amp; Readiness<ul><li>Organize technical training sessions (coding, tools, domain-specific skills)</li><li>Conduct mock interviews (technical + HR) and aptitude tests</li><li>Prepare students for assessments on platforms like HackerRank and LeetCode</li></ul>4. Placement Coordination<ul><li>Plan and execute placement drives, hackathons, and recruitment events</li><li>Coordinate interview schedules, technical tests, and hiring processes</li><li>Ensure candidates are interview-ready and meet employer expectations</li></ul>5. Internship &amp; Research Opportunities<ul><li>Facilitate internships with tech companies, startups, and research labs</li><li>Connect students with live projects, fellowships, and innovation programs</li><li>Encourage participation in hackathons and technical competitions</li></ul>6. Data Management &amp; Reporting<ul><li>Maintain databases of student profiles, technical skills, and placement records</li><li>Track KPIs such as placement rate, average salary, and domain-wise hiring</li><li>Generate reports and insights to improve placement strategies</li></ul>7. Post-Placement Support<ul><li>Monitor candidate performance and retention in technical roles</li><li>Collect feedback from employers regarding skill relevance</li><li>Support career progression through upskilling and certifications</li></ul>8. Academic &amp; Training Collaboration<ul><li>Work with faculty to align curriculum with industry standards</li><li>Recommend inclusion of emerging technologies (AI, cloud, cybersecurity, IoT)</li><li>Support development of industry-relevant projects and capstone work</li></ul>Required Qualifications<ul><li>Bachelor&rsquo;s degree in Engineering, Computer Science, IT, or related STEM field</li><li>1&ndash;3 years of experience in placements, recruitment, or training (preferred)</li></ul>Key Skills &amp; Competencies<ul><li>Basic understanding of STEM domains and technical roles</li><li>Strong communication and employer engagement skills</li><li>Knowledge of technical hiring processes and assessments</li><li>Analytical thinking and problem-solving</li><li>Organizational and coordination skills</li></ul>Preferred Attributes<ul><li>Experience in campus placements or EdTech/STEM programs</li><li>Familiarity with coding platforms and technical interview processes</li><li>Passion for technology and career development</li></ul>Key Performance Indicators (KPIs)<ul><li>Number of students placed in STEM roles</li><li>Average salary/package and job relevance</li><li>Internship conversion rate (internship &rarr; full-time)</li><li>Employer satisfaction and repeat hiring</li><li>Student retention and career progression</li></ul>Pay: ₹32,000.00 - ₹40,000.00 per monthExperience:<ul><li>IT Placement: 1 year (Preferred)</li><li>Placement: 2 years (Required)</li><li>NGO/CSR: 1 year (Required)</li></ul>Work Location: In person

Placement Coordinator (IT)

Qualcomm

<div><h2 class="jobSectionHeader">Company:
</h2>Qualcomm India Private Limited
<h2 class="jobSectionHeader">Job Area:
</h2>Engineering Group, Engineering Group &gt; Hardware Engineering
General Summary:
As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements.
Minimum Qualifications:
<ul><li>Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience.
</li></ul>OR
 
Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience.
 
OR
 
PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience.
<div>Preferred Qualifications:
</div><div><div><div><ul><li>Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field.
</li></ul><ul><li>5+ years of Hardware Engineering or related work experience.
</li><li>2+ years of experience with circuit design (e.g., digital, analog, RF).
</li></ul><ul><li>2+ years of experience utilizing schematic capture and circuit simulation software.
</li></ul><ul><li>2+ years of experience with hardware design and measurement instruments such as oscilloscopes, spectrum analyzers, RF tools, etc.
</li></ul><ul><li>1+ year in a technical leadership role with or without direct reports.
</li></ul></div>Principal Duties and Responsibilities:
<ul><li>Leverages Hardware knowledge and experience to plan, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems.
</li></ul><ul><li>Integrates features and functionality into hardware designs in line with proposals or roadmaps.
</li></ul><ul><li>Conducts complex simulations and analyses of designs as well as implements designs with the best power, performance, and area.
</li></ul><ul><li>Collaborates with teams (e.g., design, verification, validation, software and systems engineering, architecture development teams, etc.) to implement new requirements and incorporate the latest test solutions in the production program to improve the yield, test time, and quality.
</li></ul><ul><li>Evaluates, characterizes, and develops the manufacturing solutions for leading edge products in the most advanced processes and bring-up product to meet customer expectations and schedules.
</li></ul><ul><li>Evaluates reliability of critical materials, properties, and techniques and brings innovation, automation, and optimization to maximize productivity.
</li></ul><ul><li>Evaluates complex design features to identify potential flaws, compatibility issues, and/or compliance issues.
</li></ul><ul><li>Writes detailed technical documentation for Hardware projects.
</li></ul></div>Level of Responsibility:
<ul><li>Works independently with minimal supervision.
</li></ul><ul><li>Provides supervision/guidance to other team members.
</li></ul><ul><li>Decision-making may affect work beyond immediate work group.
</li></ul><ul><li>Requires verbal and written communication skills to convey information. May require basic negotiation, influence, tact, etc.
</li></ul><ul><li>Tasks require multiple steps which can be performed in various orders; some planning, problem-solving, and prioritization must occur to complete the tasks effectively.
</li></ul></div>Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact Qualcomm Careers .</div>

NPU/AI Processor (RTL)Design -Sr Lead

Hitachi Energy

<div>Location:
Chennai, Tamil Nadu, India
Job ID:
R0124753
Date Posted:
2026-07-01
Company Name:
HITACHI ENERGY TECHNOLOGY SERVICES PRIVATE LIMITED
Profession (Job Category):
Engineering &amp; Science
Job Schedule:
Full time
Remote:
No
Job Description:
Your Responsibilities:
<ul><li>Display technical expertise in data analytics focusing on a team of diversified technical competencies.
</li><li>Build and maintain accurate and scalable data pipeline and infrastructure such as SQL Warehouse, Data Lakes, etc. using Cloud platforms (e.g.: MS Azure, Databricks).
</li><li>Proactively work with business stakeholders to understand data lineage, definitions, and methods of data extraction.
</li><li>Write production-grade SQL and PySpark code to create data architecture.
</li><li>Consolidate SQL databases from multiple sources, data cleaning, and manipulation in preparation for analytics and machine learning.
</li><li>Use data visualization tools such as Power BI to create professional quality dashboards and reports.
</li><li>Write good quality documentation for data processing for different projects to ensure reproducibility.
</li><li>Living Hitachi Energy&rsquo;s core values safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business.
</li></ul>Your Background:
<ul><li>BE / B.Tech in Computer Science, Data Science, or related discipline and at least 5 years of related working experience.
</li><li>5 years of data engineering experience, with understanding lake house architecture, data integration framework, ETL/ELT pipeline, orchestration/monitoring, star schema data modeling.
</li><li>5 years of experience with Python/PySpark and SQL(Proficient in PySpark, Python, and Spark SQL)
<ul><li>2-3 years of hands-on data engineering experience using Databricks as the main tool (meaning &gt;60% of their time is using Databricks instead of just occasionally).
</li><li>2-3 years of hands-on experience with different Databricks components (DLT, workflow, Unity catalog, SQL warehouse, CI/CD) in addition to using notebooks.
</li></ul></li><li>Experience in Microsoft Power BI.
</li></ul>Additional Insights:
<ul><li>Basic understanding of Machine Learning algorithms.
</li><li>Enhanced Data Processing : AI/ML can automate and improve data processing tasks, making them more efficient and accurate.
</li><li>Predictive Analytics : Integrating AI/ML can help in building predictive models that can forecast trends and outcomes, providing valuable insights for decision-making.
</li><li>Personalization : AI/ML can be used to create personalized experiences for users by analyzing their behavior and preferences.
</li><li>Automation : AI/ML can automate repetitive tasks, freeing up time for more complex and creative work.
</li><li>Ability to quickly grasp concepts from a field that is not one's core competency; A fast learning generalist capable of solving problems independently and resourceful in a matrixed corporate environment.
</li><li>Proficiency in both spoken &amp; written English language is required.
</li></ul><h2 class="jobSectionHeader">Qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. You may request reasonable accommodations by completing a general inquiry form on our website. Please include your contact information and specific details about your required accommodation to support you during the job application process.
</h2><h2 class="jobSectionHeader">This is solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes will not receive a response.</h2></div>

Data Engineer

EPAM Systems

<div>EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
We are seeking an experienced Lead/Sr MLOps Engineer with deep expertise in Domino Data Lab to manage and optimize machine learning operations across the entire ML lifecycle. In this role, you will support platform reliability, drive infrastructure automation and ensure seamless deployment and monitoring of machine learning solutions in production environments.
Responsibilities<ul><li>
Manage and optimize the Domino Data Lab platform across the machine learning lifecycle</li><li>
Oversee MLOps processes to support efficient model development and operations</li><li>
Maintenance of Kubernetes clusters and Docker containers for scalable workloads</li><li>
Implementation of CI/CD pipelines using Jenkins, GitLab and GitHub</li><li>
Administration of Linux environments to ensure system stability</li><li>
Provide platform support at L2/L3 levels for end users and stakeholders</li><li>
Monitoring and troubleshooting of platform issues to minimize downtime</li><li>
Collaboration with data science teams to streamline machine learning workflows</li><li>
Deployment and management of solutions across AWS, Azure and GCP</li></ul>
Requirements<ul><li>
5+ years of experience in MLOps or machine learning lifecycle management</li><li>
Knowledge of Domino Data Lab platform</li><li>
Expertise in Kubernetes and Docker</li><li>
Proficiency in Python and R</li><li>
Skills in CI/CD tools including Jenkins, GitLab and GitHub</li><li>
Familiarity with AWS, Azure and GCP</li><li>
Competency in Linux administration</li><li>
Capability to perform monitoring and troubleshooting</li><li>
Background in platform support at L2/L3 levels</li></ul>
Nice to have<ul><li>
Background in AI/ML engineering</li><li>
Skills in model deployment and monitoring</li><li>
Familiarity with data science platform support</li><li>
Proficiency in infrastructure automation using Terraform and Ansible</li></ul>
We offer<ul><li>
Opportunity to work on technical challenges that may impact across geographies</li><li>
Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications</li><li>
Opportunity to share your ideas on international platforms</li><li>
Sponsored Tech Talks &amp; Hackathons</li><li>
Unlimited access to LinkedIn learning solutions</li><li>
Possibility to relocate to any EPAM office for short and long-term projects</li><li>
Focused individual development</li><li>
Benefit package:<ul><li>
Health benefits</li><li>
Retirement benefits</li><li>
Paid time off</li><li>
Flexible benefits</li></ul></li><li>
Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)</li></ul></div>

Lead/Sr MLOps Engineer - Domino Data Lab

Zuora

<div><h3 class="jobSectionHeader">About Zuora</h3>

At Zuora, we help businesses grow smarter and adapt faster. Our platform powers modern business models &mdash; from subscriptions and usage-based pricing to AI-driven and outcome-based offerings &mdash; helping companies launch new products, automate complex billing, and unlock predictable, recurring revenue.

We've led the Subscription Economy for more than a decade. Now we're evolving again by building the definitive platform for quote to cash and helping companies monetize their products and services with an adaptable, AI-ready foundation.

The Opportunity
<ul>
<li>Design and develop flexible, high-performance backend services and user-facing applications that enable deep product customization and scalability.</li>
<li>Build end-to-end product capabilities across frontend and backend systems, with a primary emphasis on strong engineering fundamentals and product quality.</li>
<li>Partner closely with Data Science, Product, UX, Platform, and Partner teams to productionize models, integrate AI/ML capabilities into product workflows, and scale intelligent systems reliably.</li>
<li>Help bridge experimentation and production by building the APIs, services, pipelines, and tooling needed to deploy, monitor, and evolve data science solutions in real-world applications.</li>
<li>Leverage AI-assisted engineering tools to improve development velocity, code quality, and team productivity.</li>
<li>Write clean, maintainable, and scalable code, following strong software engineering practices and a mindset of continuous improvement.</li>
<li>Build products that are intuitive, elegant, and user-focused &mdash; solving real problems for modern revenue teams.</li>
<li>Write clean, maintainable, and scalable code, adhering to best engineering practices and continuous improvement</li>
</ul><h3 class="jobSectionHeader">About You</h3>
<ul><li>B.Tech / B.E. in Computer Engineering or equivalent discipline.</li>
<li>5+ years of experience in full-stack software development.</li>
<li>Hands-on expertise in a modern programming language (Java preferred).</li>
<li>Strong understanding of cloud-based APIs (preferably AWS).</li>
<li>Experience with microservices architecture (Spring Boot a plus).</li>
<li>Solid knowledge of relational databases (Postgres, SQL, AWS RDS).</li>
<li>Proven debugging, problem-solving, and communication skills.</li>
<li>Curiosity and passion for exploring new technologies and AI tools (e.g., ChatGPT, Cursor, Lovable).</li>
<li>Experience with agentic model architectures and RAG-based system implementation is a strong advantage.</li>
<li>Experience with agentic model architectures and RAG-based system implementation is a strong advantage.</li>
<li>Knowledge of Python and data modeling is a strong plus.</li> 
</ul>
Our Tech Stack: Java Python, Spring, Rest API, Microservices, Kafka, Spark, NodeJS, AWS, Kubernetes, Terraform,ReactJS, Typescript, Postgres.
<h3 class="jobSectionHeader">
About the Team</h3>

Product and Engineering's AI Core team is building the next generation of intelligent product capabilities at Zuora. We are focused on creating scalable, AI-ready system that enable agentic workflows, model-driven experiences, RAG-based solution, and extensible platform services across our products. 
 
Our team partners closely with Product, Engineering, and Data Science to design and deliver production-grade AI systems &mdash; from backend services and APIs to agentic model development, RAG system implementation, orchestration, integration, and scalable deployment patterns.

We're on a multi-year journey to build a next-generation, microservices-based architecture that is modular, extensible, and designed to support the future of AI-powered revenue operations.

This is a location specific position that requires you to come into the Chennai office regularly to be most effective.
<h3 class="jobSectionHeader">
Benefits</h3>

Zuora offers a comprehensive total rewards package designed to support ZEOs' wellbeing, growth, and flexibility. While specific offerings may vary by country, we typically provide:
<ul>
<li>Competitive compensation, variable bonus and performance-based reward opportunities, and retirement programs</li>
<li>Medical, dental, and vision insurance</li>
<li>Generous, flexible time off, plus paid holidays, wellness days, and a company-wide year-end break</li>
<li>Paid parental leave (including fully paid leave for eligible ZEOs, subject to local policy)</li>
<li>Learning &amp; development stipend to support ongoing growth</li>
<li>Opportunities to volunteer and give back, including charitable donation matching where available</li>
<li>Mental wellbeing resources and support</li>
</ul>
<ul><li>Benefits may vary by location; details will be shared during the interview process</li></ul>

#ZEOLife at Zuora

ZEOs (our employees) are empowered to take ownership, challenge the status quo, and make a real impact. We:
<ul>
<li>Collaborate deeply across teams and regions</li>
<li>Learn constantly and iterate often</li>
<li>Build an inclusive, high-performance culture where people feel inspired, connected, and valued</li>
</ul><h3 class="jobSectionHeader">Our Commitment to an Inclusive Workplace</h3>

Think, be and do you. 
At Zuora, different perspectives, experiences, and contributions matter &mdash; everyone counts.

Zuora is proud to be an Equal Opportunity Employer committed to creating an inclusive environment for all. We do not discriminate on the basis of, and consider individuals seeking employment with Zuora without regard to, race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to assistance@zuora.com (or local equivalent, where applicable).</div>

Software Engineer III

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