(immediate joiner) mern/full stack developers

training

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)

ROYAL SPORTS & FITNESS

Primary Purpose:To strategically plan, execute, and manage placement activities while ensuring optimal employmentoutcomes for students through effective industry partnerships and data-driven placement campaigns.Key Accountabilities/Activities:Primary Responsibility:<ul><li>Create and execute comprehensive placement plans</li><li>Monitor batch performance through dashboard analytics</li><li>Develop and manage placement campaigns</li><li>Track placement success rates and sources</li><li>Build and maintain industry partnerships</li><li>Analyze placement metrics and outcomes</li><li>Coordinate campus recruitment drives</li><li>Match student profiles with job requirements</li></ul>Secondary Responsibility:<ul><li>Conduct mock interviews and placement training</li><li>Maintain placement database</li><li>Generate periodic placement reports</li><li>Organize career guidance sessions</li><li>Support student resume preparation</li><li>Track alumni employment status</li></ul>Work Relations:Internal:<ul><li>Center Principal</li><li>Center Dean</li><li>Training Faculty</li><li>Students</li><li>Administrative Team</li><li>Counselling Team</li></ul>External:<ul><li>Alumni Network</li><li>Recruitment Agencies</li><li>Industry Associations</li></ul>Span of Control:<ul><li>Placement Activities</li><li>Industry Relations</li><li>Placement Campaigns</li><li>Student Placement Data</li><li>Campus Recruitment Events</li></ul>Financial decision making:<ul><li>Placement campaign budget utilization</li><li>Event cost management</li><li>Training resource allocation</li><li>Industry visit expenses</li></ul>Eligibility:<ul><li>Proficiency in Marathi language is a must.</li><li>Local candidates will be preferred.</li><li>Minimum graduation in relevant field.</li><li>Candidates with an MBA degree will be preferred.</li></ul>Experience:<ul><li>Minimum five years of experience in recruitment, talent acquisition and human resources.</li></ul>Expected Competencies:<ul><li>Strong networking abilities</li><li>Excellent communication skills</li><li>Data analysis capabilities</li><li>Campaign management expertise</li><li>Strategic planning skills</li><li>Industry knowledge</li></ul>Pay: ₹400,000.00 - ₹600,000.00 per yearBenefits:<ul><li>Cell phone reimbursement</li><li>Commuter assistance</li><li>Internet reimbursement</li><li>Paid sick time</li><li>Provident Fund</li></ul>Work Location: In person

Placement Coordinator

TECHOLAS TECHNOLOGIES

Job description: - We are looking for a dynamic and result-oriented Placement Coordinator Head to lead our placement and corporate relations activities. The ideal candidate will be responsible for establishing and maintaining strong industry connections, building and managing a placement team, and ensuring successful student career placements. Key Responsibilities:  Develop and maintain partnerships with reputed companies for campus recruitment and internships.  Build, lead, and mentor the placement team to achieve departmental goals.
 
<ul>
<li>Plan, organize, and execute placement drives, career fairs, and recruitment events.  Coordinate with colleges, training institutes, and reputed educational organizations for tie-ups.  Prepare placement reports, maintain databases, and track student placement progress.  Guide and support students in career planning, resume preparation, and interview readiness.</li>
<li>Ensure strong relationships with corporate HRs and industry professionals Preferred Qualifications & Skills:  Bachelor’s/Master’s degree in Management, HR, or related field.  Proven experience in college placements or reputed training/technical institutes.  Strong network of corporate contacts across industries.  Excellent leadership, team management, and communication skills  Minimum 1 year experience in this field.</li>
</ul>

PLACEMENT HEAD

PepsiCo

<div>Overview:

CE handles single/multiple distributors ranging over different scale of business. He is the representation of PepsiCo in market who is responsible for planning, deploying and executing joint business plans and driving sustainable sales capability. The CE will help distributor expand his business by coaching and working with the DB and/or the team of sales representatives. He will be instrumental in resolving market challenges and ensuring incremental business.
Responsibilities:
<ul><li>Delivering Secondary monthly targets and Gross Revenue growth</li><li>Planning routes efficiently to increase productivity
</li><li>Increase Net Distribution by increasing number of outlet served
</li><li>Increases Weighted Distribution by increasing SKU count in existing outlets
</li><li>Ensuring stock availability and Rack Execution as per planogram
</li><li>Relationship building in the market to maximize customer satisfaction Training &amp; Communication
</li><li>One-on-One training of PSRs to develop business understanding &amp; sales capability
</li><li>Monthly target setting for each salesmen
</li><li>Works with salesmen in market to coach him/her on market execution
</li><li>Monitors salesmen performance using regular sales reports
</li><li>Communicates incentives and motivates salesmen to achieve targets Distributor
</li><li>Distributor/Hub/Spokes appointment and retirement for territories
</li><li>Managing DB health (ROI) by ensuring adherence to Joint Business plan
</li><li>Jointly responsible for recruitment and retention of sales representatives
</li><li>Minimizing expiry/stales by ensuring FIFO and stacking norms of products
</li><li>Tracking correct and timely delivery of orders in the market
</li><li>Ensuring food compliance of every distributor
</li><li>Facilitating development of distributor on PepsiCo sales competencies</li></ul>
Qualifications:

Any under graduation or Post Graduation</div>

People Operations Coordinator

CIEL HR Services

Job Summary:The Placement Lead will be responsible for driving placement activities across multiple skilling projects by building employer relationships, identifying job opportunities, coordinating interviews, and ensuring successful candidate placements. The role will closely support the Project Manager in achieving placement targets and improving employment outcomes for trained candidates.Key Responsibilities:1. Employer &amp; Industry EngagementBuild and maintain relationships with employers, staffing agencies, and industry partners.Identify job opportunities aligned to training programs and candidate profiles.Conduct regular employer meetings and generate placement opportunities across sectors.Develop a database of companies and hiring partners for continuous engagement.2. Placement Coordination.Plan and execute placement drives, interviews, and recruitment activities.Coordinate candidate shortlisting, interview scheduling, and offer tracking.Ensure candidates are prepared for interviews and job readiness activities.Work closely with training teams to align candidates with employer requirements.3. Placement Target AchievementTake ownership of placement targets across projects and batches.<ul><li>Monitor placement conversion rates and candidate joining status.</li><li>Ensure timely closures of placement requirements and improve hiring outcomes.</li></ul>4. Tracking &amp; MIS Management.<ul><li>Maintain accurate placement MIS, employer databases, and candidate tracking reports.</li></ul>Track candidate retention and conduct post-placement follow-ups.Prepare periodic placement reports and updates for management and CSR partners.5. Team Coordination &amp; Support.Coordinate with mobilisation teams, trainers, center coordinators, and project staff.Support the Project Manager in planning placement strategies and employer engagement initiatives.Assist in resolving placement-related challenges and escalations.6. Stakeholder Management.Represent the organization during employer visits, job fairs, and recruitment events.Maintain strong relationships with corporate HR teams and recruitment partners.Support client reporting related to placement outcomes and impact metrics.Qualifications &amp; Experience:Bachelor&rsquo;s degree in any discipline preferred MSW in HR<ul><li>2&ndash;6 years of experience in placements, recruitment, or employer engagement.</li><li>Experience in skilling, employability, staffing, or CSR projects preferred.</li></ul>Pay: ₹400,000.00 - ₹550,000.00 per yearWork Location: In person

Placement Lead - CSR

veltris

<div><div><h3 class="jobSectionHeader">Job Information</h3>
<ul><div>Work Experience
<div>15+ Years
</div></div><div>Date Opened
<div>06/12/2026
</div></div><div>Industry
<div>IT Services
</div></div><div>Job Type
<div>Staff Aug Consultant
</div></div><div>Remote Job
</div></ul></div><div><h3 class="jobSectionHeader">Job Description</h3>
<div>This is a remote position.
Role Type: Research-to-Production Specialist Focus: Domain-Specific Models, Optimization &amp; Safety Reports to: Chief AI Evangelist &amp; Product Head 
Role Summary 
The Applied AI Researcher (Optimization &amp; Domain Models) is responsible for adapting and optimizing AI models for micro-industry-specific problems. This role bridges theoretical rigor and real-world deployment, ensuring models are not only accurate but safe, explainable, and production-ready. 
You will own problem-specific reasoning models, vertical LLM tuning, anomaly detection, and quality models that power defensible SaaS offerings. 
Key Responsibilities 
Domain Model Development<ul><li> 
Design problem-specific reasoning and optimization models.</li><li> 
Fine-tune vertical LLMs for industry-specific language, workflows, and constraints.</li><li> 
Build anomaly detection, prediction, and quality inspection models.</li><li> 
Adapt foundation models to operate under domain rules, policies, and regulations.</li></ul> 
Evaluation, Guardrails &amp; Safety<ul><li> 
Own evaluation loops (offline, online, human-in-the-loop).</li><li> 
Design guardrails for hallucination control, bias mitigation, and policy compliance.</li><li> 
Implement safety tooling for enterprise-grade AI deployments.</li><li> 
Define success metrics tied to business and operational outcomes.</li></ul> 
Research to Production<ul><li> 
Convert research prototypes into deployable, scalable micro-industry models.</li><li> 
Partner with engineers to integrate models into agents and SaaS workflows.</li><li> 
Document model behavior, assumptions, and failure modes.</li><li> 
Create repeatable model adaptation playbooks.</li></ul> 
IP &amp; Thought Leadership<ul><li> 
Contribute to proprietary model architectures and training strategies.</li><li> 
Publish internal whitepapers and external POVs where appropriate.</li><li> 
Support GTM narratives with credible technical depth.</li></ul> 
Required Qualifications<ul><li> 
Desirable PhD in AI, ML, Applied Mathematics, Operations Research, or related field.</li><li> 
Strong background in optimization, probabilistic modeling, or deep learning.</li><li> 
Experience fine-tuning LLMs or training domain-specific models.</li><li> 
Hands-on experience with Python, PyTorch, TensorFlow, or JAX.</li></ul> 
Preferred Qualifications<ul><li> 
Experience with enterprise or regulated domains (healthcare, finance, telecom).</li><li> 
Familiarity with reinforcement learning or constrained optimization.</li><li> 
Exposure to safety, alignment, or AI governance frameworks.</li></ul> 
Success Metrics<ul><li> 
Deliver 1 domain-tuned model per quarter.</li><li> 
Demonstrate measurable performance lift vs baseline models.</li><li> 
Deploy models into at least 2 production workflows.</li><li> 
Reduce inference errors or quality issues by 25%.</li></ul></div></div></div>

Applied AI Researcher (Optimization & Domain Models)

Infosys

<div>
 <ul>
 <li>
 Primary skills:Domain-&gt;Turbomachinery-&gt;Steam Turbine-&gt;Rotor
 
 
 </li>
 </ul>
 Key Responsibilities Design, develop, and deploy machine learning and AI models Build and maintain data pipelines for training and inference Work on supervised and unsupervised learning algorithms Implement NLP, Computer Vision, or Deep Learning solutions Optimize models for performance, scalability, and accuracy Collaborate with data engineers, analysts, and product teams Deploy models using cloud platforms (AWS/Azure/GCP) Monitor model performance and perform continuous improvements Conduct data preprocessing, feature engineering, and model evaluation Document models, processes, and experiments Required Skills &amp; Qualifications Technical Skills Strong proficiency in Python Experience with Machine Learning libraries: Scikit-learn TensorFlow / PyTorch Knowledge of data manipulation tools (Pandas, NumPy) Experience with ML algorithms (regression, classification, clustering) Familiarity with Deep Learning frameworks Knowledge of NLP or Computer Vision techniques Experience in model deployment (APIs, microservices) Strong understanding of statistics and probability
 
 
 Preferred Skills (Nice-to-Have) Experience with Generative AI / LLMs (GPT, LangChain, Hugging Face) Knowledge of MLOps tools (MLflow, Kubeflow, Airflow) Experience with Docker and Kubernetes Familiarity with Big Data tools (Spark, PySpark) Experience with REST APIs and microservices architecture Knowledge of cloud AI services (AWS SageMaker, Azure ML, GCP AI) Understanding of vector databases and embeddings (FAISS, Pinecone) Exposure to CI/CD pipelines and DevOps practices
</div>

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